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Zhuo (Adam) Chen

Not to be confused with: Zhuo Fu Chen

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Monchuk, Daniel C. & Chen, Zhuo & Bonaparte, Yosef, 2010. "Explaining production inefficiency in China's agriculture using data envelopment analysis and semi-parametric bootstrapping," China Economic Review, Elsevier, vol. 21(2), pages 346-354, June.

    Mentioned in:

    1. Urban Population 51.27% | Rural Population 48.73%
      by Rich in All Roads Lead to China on 2012-01-20 07:38:15

Working papers

  1. Wong, Li Ping & Wu, Qunhong & Hao, Yanhua & Chen, Xi & Chen, Zhuo & Alias, Haridah & Shen, Mingwang & Hu, Jingcen & Duan, Shiwei & Zhang, Jinjie & Han, Liyuan, 2020. "The Role of Institutional Trust in Medical Care Seeking during the COVID-19 Pandemic," GLO Discussion Paper Series 558, Global Labor Organization (GLO).

    Cited by:

    1. Chen, Xi & Fan, Annie, 2021. "Pandemic Economics and the Transformation of Health Policy," IZA Discussion Papers 14061, Institute of Labor Economics (IZA).
    2. Xi Chen & Annie Fan, 2021. "The COVID-19 pandemic and the transformation of health policy: a syndemic perspective," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 19(3), pages 239-255, July.

  2. David O. Meltzer & Zhuo Chen, 2009. "The Impact of Minimum Wage Rates on Body Weight in the United States," NBER Working Papers 15485, National Bureau of Economic Research, Inc.

    Cited by:

    1. Jennifer J. Otten & James Buszkiewicz & Wesley Tang & Anju Aggarwal & Mark Long & Jacob Vigdor & Adam Drewnowski, 2017. "The Impact of a City-Level Minimum-Wage Policy on Supermarket Food Prices in Seattle-King County," IJERPH, MDPI, vol. 14(9), pages 1-12, September.
    2. Brady P. Horn & Johanna Catherine Maclean & Michael R. Strain, 2017. "Do Minimum Wage Increases Influence Worker Health?," Economic Inquiry, Western Economic Association International, vol. 55(4), pages 1986-2007, October.
    3. Kathryn L. Clark & R. Vincent Pohl & Ryan C. Thomas, 2020. "Minimum Wages And Healthy Diet," Contemporary Economic Policy, Western Economic Association International, vol. 38(3), pages 546-560, July.
    4. Pohl, R. Vincent & Clark, Kathryn L. & Thomas, Ryan C., 2017. "Minimum Wages and Healthy Diet," MPRA Paper 87239, University Library of Munich, Germany.
    5. Susan L. Averett & Julie K. Smith & Yang Wang, 2018. "Minimum Wages and the Health of Hispanic Women," Journal of Economics, Race, and Policy, Springer, vol. 1(4), pages 217-239, December.
    6. Dodd, Mark C., 2014. "Intertemporal discounting as a risk factor for high BMI: Evidence from Australia, 2008," Economics & Human Biology, Elsevier, vol. 12(C), pages 83-97.
    7. Otto Lenhart, 2017. "The impact of minimum wages on population health: evidence from 24 OECD countries," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 18(8), pages 1031-1039, November.
    8. Jiwei Chen, 2021. "Do minimum wage increases benefit worker health? Evidence from China," Review of Economics of the Household, Springer, vol. 19(2), pages 473-499, June.
    9. Ritter, Patricia I., 2023. "Soda expansion in the tropics: The effect on obesity rates among women without piped water at home," Economics & Human Biology, Elsevier, vol. 51(C).
    10. George Wehby & Dhaval Dave & Robert Kaestner, 2016. "Effects of the Minimum Wage on Infant Health," NBER Working Papers 22373, National Bureau of Economic Research, Inc.
    11. Daniel Cooper & María José Luengo-Prado & Jonathan A. Parker, 2019. "The Local Aggregate Effects of Minimum Wage Increases," NBER Working Papers 25761, National Bureau of Economic Research, Inc.
    12. Averett, Susan L. & Smith, Julie K. & Wang, Yang, 2019. "Minimum Wages and the Health and Access to Care of Immigrants' Children," IZA Discussion Papers 12606, Institute of Labor Economics (IZA).
    13. Cotti, Chad & Tefft, Nathan, 2013. "Fast food prices, obesity, and the minimum wage," Economics & Human Biology, Elsevier, vol. 11(2), pages 134-147.
    14. Susan L. Averett & Julie K. Smith & Yang Wang, 2017. "The effects of minimum wages on the health of working teenagers," Applied Economics Letters, Taylor & Francis Journals, vol. 24(16), pages 1127-1130, September.
    15. Charles Courtemanche & Garth Heutel & Patrick McAlvanah, 2015. "Impatience, Incentives and Obesity," Economic Journal, Royal Economic Society, vol. 125(582), pages 1-31, February.
    16. Peter J. Huckfeldt & Darius N. Lakdawalla & Tomas J. Philipson, 2012. "Economics of Obesity," Chapters, in: Andrew M. Jones (ed.), The Elgar Companion to Health Economics, Second Edition, chapter 7, Edward Elgar Publishing.
    17. Elena Andreyeva & Benjamin Ukert, 2018. "The impact of the minimum wage on health," International Journal of Health Economics and Management, Springer, vol. 18(4), pages 337-375, December.
    18. Leigh, J. Paul, 2021. "Treatment design, health outcomes, and demographic categories in the literature on minimum wages and health," Economics & Human Biology, Elsevier, vol. 43(C).
    19. Annalijn I Conklin & Ninez A Ponce & John Frank & Arijit Nandi & Jody Heymann, 2016. "Minimum Wage and Overweight and Obesity in Adult Women: A Multilevel Analysis of Low and Middle Income Countries," PLOS ONE, Public Library of Science, vol. 11(3), pages 1-14, March.
    20. Carsten Schröder, 2014. "Kosten und Nutzen von Mindestlöhnen," DIW Roundup: Politik im Fokus 22, DIW Berlin, German Institute for Economic Research.
    21. David Neumark, 2023. "The Effects of Minimum Wages on (Almost) Everything? A Review of Recent Evidence on Health and Related Behaviors," NBER Working Papers 31191, National Bureau of Economic Research, Inc.
    22. Du Juan & Leigh J. Paul, 2018. "Effects of Minimum Wages on Absence from Work Due to Illness," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 18(1), pages 1-23, January.
    23. Abouk, Rahi & Adams, Scott, 2022. "Breakfast After the Bell: The Effects of Expanding Access to School Breakfasts on the Weight and Achievement of Elementary School Children," Economics of Education Review, Elsevier, vol. 87(C).
    24. Allegretto, Sylvia & Nadler, Carl, 2020. "Minimum Wages and Health: A Reassessment," Institute for Research on Labor and Employment, Working Paper Series qt98f1p6h7, Institute of Industrial Relations, UC Berkeley.
    25. Xuezheng Qin & Jay Pan, 2016. "The Medical Cost Attributable to Obesity and Overweight in China: Estimation Based on Longitudinal Surveys," Health Economics, John Wiley & Sons, Ltd., vol. 25(10), pages 1291-1311, October.
    26. Patricia I. Ritter, 2018. "Soda Consumption in the Tropics: The Trade-Off between Obesity and Diarrhea in Developing Countries," Working papers 2018-16, University of Connecticut, Department of Economics, revised Aug 2020.
    27. Otto Lenhart, 2020. "Pathways Between Minimum Wages and Health: The Roles of Health Insurance, Health Care Access and Health Care Utilization," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 46(3), pages 438-459, June.
    28. Hafner, Lucas, 2019. "Do minimum wages improve self-rated health? Evidence from a natural experiment," FAU Discussion Papers in Economics 02/2019, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    29. Otto Lenhart, 2019. "Higher Wages, Less Gym Time? The Effects of Minimum Wages on Time Use," Southern Economic Journal, John Wiley & Sons, vol. 86(1), pages 253-270, July.
    30. PAN, Jay & QIN, Xuezheng & LIU, Gordon G., 2013. "The impact of body size on urban employment: Evidence from China," China Economic Review, Elsevier, vol. 27(C), pages 249-263.
    31. Guy E.J. Faulkner & Paul Grootendorst & Van Hai Nguyen & Tatiana Andreyeva & Kelly Arbour-Nicitopoulos & Chris Auld & Sean B. Cash & John Cawley & Peter Donnelly & Adam Drewnowski & Laurette Dubé & R, 2011. "Economic Instruments for Obesity Prevention: Results of a Scoping Review and Modified Delphi Survey," Monash Economics Working Papers 31-11, Monash University, Department of Economics.
    32. Romich, Jennifer L. & Althauser, Anne K. & Allard, Scott William & Long, Mark C. & Vigdor, Jacob, 2018. "Linking Administrative Data to Understand Effects of Seattle’s $15 Minimum Wage Ordinance," OSF Preprints egvwq, Center for Open Science.

  3. Chen, Zhuo & Cho, Seong-Hoon & Poudyal, Neelam C. & Roberts, Roland K., 2007. "Forecasting Housing Prices under Different Submarket Assumptions," 2007 Annual Meeting, July 29-August 1, 2007, Portland, Oregon 9689, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

    Cited by:

    1. Poudyal, Neelam C. & Hodges, Donald G. & Tonn, Bruce & Cho, Seong-Hoon, 2009. "Valuing diversity and spatial pattern of open space plots in urban neighborhoods," Forest Policy and Economics, Elsevier, vol. 11(3), pages 194-201, May.
    2. Olgun Kitapci & Ömür Tosun & Murat Fatih Tuna & Tarik Turk, 2017. "The Use of Artificial Neural Networks (ANN) in Forecasting Housing Prices in Ankara, Turkey," Journal of Marketing and Consumer Behaviour in Emerging Markets, University of Warsaw, Faculty of Management, vol. 1(5), pages 4-14.

  4. Huffman, Wallace E. & Chen, Zhuo & Rozelle, Scott, 2006. "Farm Technology and Technical Efficiency: Evidence from Four Regions in China," Working Papers 18210, Iowa State University, Department of Economics.

    Cited by:

    1. Xiaohua Yu & Guoqing Zhao, 2009. "Chinese agricultural development in 30 years: A literature review," Frontiers of Economics in China, Springer;Higher Education Press, vol. 4(4), pages 633-648, December.
    2. Chen, Shuzhang & Oxley, Les & Xu, Zheng & Wang, Yanqing & Ma, Hengyun, 2013. "The dynamic adjustment of factor inputs and its policy implications for major wheat producing areas in China," Economic Modelling, Elsevier, vol. 33(C), pages 450-457.
    3. Xin Yang & Guangyin Shang, 2020. "Smallholders’ Agricultural Production Efficiency of Conservation Tillage in Jianghan Plain, China—Based on a Three-Stage DEA Model," IJERPH, MDPI, vol. 17(20), pages 1-12, October.
    4. Deininger, Klaus & Monchuk, Daniel & Nagarajan, Hari K & Singh, Sudhir K, 2014. "Does land fragmentation increase the cost of cultivation ? evidence from India," Policy Research Working Paper Series 7085, The World Bank.
    5. Shen, Zhiyang & Wang, Songkai & Boussemart, Jean-Philippe & Hao, Yu, 2022. "Digital transition and green growth in Chinese agriculture," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    6. Silvia Saravia-Matus & T. S. Amjath-Babu & Sreejith Aravindakshan & Stefan Sieber & Jimmy A. Saravia & Sergio Gomez y Paloma, 2021. "Can Enhancing Efficiency Promote the Economic Viability of Smallholder Farmers? A Case of Sierra Leone," Sustainability, MDPI, vol. 13(8), pages 1-17, April.
    7. DeLay, Nathan D. & Thompson, Nathanael M. & Mintert, James R., 2020. "Precision Agriculture Technology Adoption and Technical Efficiency," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304280, Agricultural and Applied Economics Association.
    8. Chloé Duvivier, 2013. "Does Urban Proximity Enhance Technical Efficiency? Evidence From Chinese Agriculture," Journal of Regional Science, Wiley Blackwell, vol. 53(5), pages 923-943, December.
    9. Xiangfei Xin & Yi Zhang & Jimin Wang & John Alexander Nuetah, 2016. "Effects of Farm Size on Technical Efficiency in China's Broiler Sector: A Stochastic Meta-Frontier Approach," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 64(3), pages 493-516, September.
    10. Sébastien MARCHAND & Huanxiu GUO, 2012. "The environmental efficiency of non-certified organic farming in China: a case study of paddy rice production," Working Papers 201238, CERDI.
    11. Jia, Lili, 2012. "Land fragmentation and off-farm labor supply in China," Studies on the Agricultural and Food Sector in Transition Economies, Leibniz Institute of Agricultural Development in Transition Economies (IAMO), volume 66, number 66.
    12. Ma, Shuzhong & Feng, Han, 2013. "Will the decline of efficiency in China's agriculture come to an end? An analysis based on opening and convergence," China Economic Review, Elsevier, vol. 27(C), pages 179-190.
    13. Tang, Jianjun & Folmer, Henk & Xue, Jianhong, 2015. "Technical and allocative efficiency of irrigation water use in the Guanzhong Plain, China," Food Policy, Elsevier, vol. 50(C), pages 43-52.
    14. Wen‐Ge Fu & Sizhong Sun & Zhang‐Yue Zhou, 2011. "Technical efficiency of food processing in China: the case of flour and rice processing," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 3(3), pages 321-334, September.
    15. Taining Wang & Jinjing Tian & Feng Yao, 2021. "Does high debt ratio influence Chinese firms’ performance? A semiparametric stochastic frontier approach with zero inefficiency," Empirical Economics, Springer, vol. 61(2), pages 587-636, August.
    16. Monchuk, Daniel C. & Chen, Zhuo & Bonaparte, Yosef, 2010. "Explaining production inefficiency in China's agriculture using data envelopment analysis and semi-parametric bootstrapping," China Economic Review, Elsevier, vol. 21(2), pages 346-354, June.
    17. Li, Xinyi & Ito, Junichi, 2023. "Determinants of technical efficiency and farmers’ crop choice rationality: A case study of rural Gansu, China," Journal of Asian Economics, Elsevier, vol. 84(C).
    18. Meili Huan & Fengxia Dong & Liang Chi, 2022. "Mechanization services, factor allocation, and farm efficiency: Evidence from China," Review of Development Economics, Wiley Blackwell, vol. 26(3), pages 1618-1639, August.
    19. Tong, Q. & Swallow, B. & Zhang, L. & Zhang, J., 2018. "Risk Attitude, Technical Efficiency and Adoption: An Integrated Approach to Climate-Smart Rice Production in the Jianghan Plain, China," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277311, International Association of Agricultural Economists.
    20. Jiangsheng Chen & Gideon Bolt & Yiwen Wang & Xiaoli Feng & Xuke Li, 2021. "An Empirical Diagnosis of the School-to-Work Process for Rural and Agricultural Development in China," Sustainability, MDPI, vol. 13(2), pages 1-15, January.
    21. Jia, Lili & Petrick, Martin, 2012. "How land fragmentation affects off-farm labor supply in China: Evidence from household panel data," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126263, International Association of Agricultural Economists.
    22. Xin Deng & Zhongcheng Yan & Dingde Xu & Yanbin Qi, 2020. "Land Registration, Adjustment Experience, and Agricultural Machinery Adoption: Empirical Analysis from Rural China," Land, MDPI, vol. 9(3), pages 1-14, March.
    23. Hong, Yu & Heerink, Nico & Zhao, Minjuan & van der Werf, Wopke, 2019. "Intercropping contributes to a higher technical efficiency in smallholder farming: Evidence from a case study in Gaotai County, China," Agricultural Systems, Elsevier, vol. 173(C), pages 317-324.
    24. Rungsuriyawiboon, Supawat & Xiaobing, Wang, 2007. "Recent Evidence On Agricultural Efficiency And Productivity In China: A Metafrontier Approach," IAMO Discussion Papers 90863, Institute of Agricultural Development in Transition Economies (IAMO).
    25. Amer Ait Sidhoum & K Hervé Dakpo & Laure Latruffe, 2022. "Trade-offs between economic, environmental and social sustainability on farms using a latent class frontier efficiency model: Evidence for Spanish crop farms," PLOS ONE, Public Library of Science, vol. 17(1), pages 1-17, January.
    26. Thi Lam Bui & Huu Cuong Tran & Hossein Azadi & Philippe Lebailly, 2018. "Improving the Technical Efficiency of Sengcu Rice Producers through Better Financial Management and Sustainable Farming Practices in Mountainous Areas of Vietnam," Sustainability, MDPI, vol. 10(7), pages 1-19, July.
    27. Jules Ngango & Seung Gyu Kim, 2019. "Assessment of Technical Efficiency and Its Potential Determinants among Small-Scale Coffee Farmers in Rwanda," Agriculture, MDPI, vol. 9(7), pages 1-12, July.
    28. Tang, Liang & Ma, Xianlei & Zhou, Yuepeng & Shi, Xiaoping & Ma, Jia, 2019. "Social relations, public interventions and land rent deviation: Evidence from Jiangsu Province in China," Land Use Policy, Elsevier, vol. 86(C), pages 406-420.
    29. Li, Zongzhang & Liu, Xiaomin, 2009. "The Effects of Rural Infrastructure Development on Agricultural Production Technical Efficiency: Evidence from the Data of Second National Agricultural Census of China," 2009 Conference, August 16-22, 2009, Beijing, China 51028, International Association of Agricultural Economists.
    30. Siyan Zeng & Fengwu Zhu & Fu Chen & Man Yu & Shaoliang Zhang & Yongjun Yang, 2018. "Assessing the Impacts of Land Consolidation on Agricultural Technical Efficiency of Producers: A Survey from Jiangsu Province, China," Sustainability, MDPI, vol. 10(7), pages 1-17, July.
    31. Wira Abu Bakar & Rabihah Md Sum, 2020. "Agriculture Risk Management: A Case Study on Rock Melon Farm in Sepang, Selangor, Malaysia," Food & Agribusiness Management (FABM), Zibeline International Publishing, vol. 1(2), pages 75-82, June.
    32. Zhu, Bei & Zhong, Ruohan & Wei, Chu, 2024. "Measuring digital government service performance: Evidence from China," China Economic Review, Elsevier, vol. 83(C).
    33. Deininger, Klaus & Savastano, Sara & Carletto, Calogero, 2012. "Land Fragmentation, Cropland Abandonment, and Land Market Operation in Albania," World Development, Elsevier, vol. 40(10), pages 2108-2122.
    34. Effendy & M Fardhal Pratama & Rustam Abdul Rauf & Made Antara & Muhammad Basir-Cyio & Mahfudz & Muhardi, 2019. "Factors influencing the efficiency of cocoa farms: A study to increase income in rural Indonesia," PLOS ONE, Public Library of Science, vol. 14(4), pages 1-15, April.
    35. Ziqi Yin & Jianzhai Wu, 2021. "Spatial Dependence Evaluation of Agricultural Technical Efficiency—Based on the Stochastic Frontier and Spatial Econometric Model," Sustainability, MDPI, vol. 13(5), pages 1-12, March.
    36. Lim, Jinyang & Nam, Changi & Kim, Seongcheol & Lee, Euehun & Lee, Hongkyu, 2015. "A new regional clustering approach for mobile telecommunications policy in China," Telecommunications Policy, Elsevier, vol. 39(3), pages 296-304.
    37. Moon, Wanki, 2018. "The Lack of Dynamic Gains from Trade in Agriculture: Implications for Governing Agricultural Trade," 2018 Annual Meeting, February 2-6, 2018, Jacksonville, Florida 266613, Southern Agricultural Economics Association.
    38. Wang, Xiaobing & Yamauchi, Futoshi & Otsuka, Keijiro & Huang, Jikun, 2015. "Wage Growth, Landholding and Mechanization in Chinese Agriculture," 2015 Conference, August 9-14, 2015, Milan, Italy 212618, International Association of Agricultural Economists.
    39. Yu, Peiheng & Fennell, Shailaja & Chen, Yiyun & Liu, Hui & Xu, Lu & Pan, Jiawei & Bai, Shaoyun & Gu, Shixiang, 2022. "Positive impacts of farmland fragmentation on agricultural production efficiency in Qilu Lake watershed: Implications for appropriate scale management," Land Use Policy, Elsevier, vol. 117(C).
    40. Chisom Lotanna Ubabukoh & Katsushi S. Imai, 2023. "Are farmers ‘efficient but poor’? The impact of crop choices on technical efficiency and poverty in Nigeria," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(1), pages 191-213, February.
    41. Huang, Wei & Bruemmer, Bernhard & Huntsinger, Lynn, 2016. "Incorporating measures of grassland productivity into efficiency estimates for livestock grazing on the Qinghai-Tibetan Plateau in China," Ecological Economics, Elsevier, vol. 122(C), pages 1-11.
    42. Fleisher, Belton M. & McGuire, William H. & Smith, Adam Nicholas & Zhou, Mi, 2015. "Knowledge capital, innovation, and growth in China," Journal of Asian Economics, Elsevier, vol. 39(C), pages 31-42.
    43. Monchuk, Daniel C. & Deininger, Klaus W. & Nagarajan, Hari K., 2010. "Does Land Fragmentation Reduce Efficiency: Micro Evidence from India," 2010 Annual Meeting, July 25-27, 2010, Denver, Colorado 61652, Agricultural and Applied Economics Association.
    44. Tongwei, Qiu & Luo, Biliang & Boris Choy, S.T. & Li, Yifei & He, Qinying, 2020. "Do land renting-in and its marketization increase labor input in agriculture? Evidence from rural China," Land Use Policy, Elsevier, vol. 99(C).
    45. Msangi, Haji Athumani, 2017. "Examining The Inverse Relationship Between Farm Size And Efficiency In Tanzanian Agriculture," Research Theses 276448, Collaborative Masters Program in Agricultural and Applied Economics.
    46. Ali,Daniel Ayalew & Deininger,Klaus W. & Ronchi,Loraine, 2015. "Costs and benefits of land fragmentation : evidence from Rwanda," Policy Research Working Paper Series 7290, The World Bank.
    47. Sauer, J. & Davidova, S. & Gorton, M., 2013. "Land Fragmentation and Market Integration- Heterogenous Technologies in Kosovo," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 48, March.
    48. Uttam Khanal & Clevo Wilson & Boon Lee & Viet-Ngu Hoang, 2018. "Do climate change adaptation practices improve technical efficiency of smallholder farmers? Evidence from Nepal," Climatic Change, Springer, vol. 147(3), pages 507-521, April.
    49. Gong, Binlei, 2020. "Agricultural productivity convergence in China," China Economic Review, Elsevier, vol. 60(C).
    50. Monchuk, Daniel C. & Zhuo, Chen, 2008. "Explaining Production Inefficiency in China’s Agriculture using Data Envelope Analysis and Semi-Parametric Bootstrapping," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6456, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    51. Seok, Jun Ho & Reed, Michael R. & Moon, Han-Pil, 2017. "Population Aging and Growth of Developed Countries’ Agricultural Sector: Focusing on the Inverse Relationship between Aging and Cognitive Abilities," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258573, Agricultural and Applied Economics Association.
    52. Arimoto, Yutaka, 2010. "Impact of land readjustment project on farmland use and structural adjustment: The case of Niigata, Japan," 2010 Annual Meeting, July 25-27, 2010, Denver, Colorado 61278, Agricultural and Applied Economics Association.
    53. Jia, Lili & Petrick, Martin, 2014. "How does land fragmentation affect off-farm labor supply: panel data evidence from China," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 45(3), pages 369-380.
    54. Suwen Pan & Jaime Malaga & Xiurong He, 2010. "Market liberalization and crop planting decision: a case of China," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 2(3), pages 240-250, September.
    55. Sauer, Johannes & Davidova, Sophia & Gorton, Matthew, 2012. "Land Fragmentation, Market Integration and Farm Efficiency: Empirical Evidence from Kosovo," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 123236, Agricultural and Applied Economics Association.
    56. Yang, Jin & Wang, Hui & Jin, Songqing & Chen, Kevin Z. & Riedinger, Jeffrey & Chao, Peng, 2014. "Migration, local off-farm employment, and agricultural production efficiency: Evidence from China:," IFPRI discussion papers 1338, International Food Policy Research Institute (IFPRI).
    57. Lu, Hua & Xie, Hualin & He, Yafen & Wu, Zhilong & Zhang, Xinmin, 2018. "Assessing the impacts of land fragmentation and plot size on yields and costs: A translog production model and cost function approach," Agricultural Systems, Elsevier, vol. 161(C), pages 81-88.
    58. Zhu, Xiaoke & Hu, Ruifa & Zhang, Chao & Shi, Guanming, 2021. "Does Internet use improve technical efficiency? Evidence from apple production in China," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    59. Chenguang Teng & Kaiyu Lyu & Mengshuai Zhu & Chongshang Zhang, 2023. "Impact of Conservation Tillage Technology Application on Farmers’ Technical Efficiency: Evidence from China," Agriculture, MDPI, vol. 13(6), pages 1-16, May.
    60. Arimoto, Yutaka & 有本, 寛 & アリモト, ユタカ, 2011. "The impact of farmland readjustment and consolidation on structural adjustment: The case of Niigata, Japan," CEI Working Paper Series 2011-3, Center for Economic Institutions, Institute of Economic Research, Hitotsubashi University.
    61. Jun Ho Seok & Hanpil Moon & GwanSeon Kim & Michael R. Reed, 2018. "Is Aging the Important Factor for Sustainable Agricultural Development in Korea? Evidence from the Relationship between Aging and Farm Technical Efficiency," Sustainability, MDPI, vol. 10(7), pages 1-15, June.
    62. Shiwei LIU & Pingyu ZHANG & Xiuli HE & Jing LI, 2015. "Efficiency change in North-East China agricultural sector: A DEA approach," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 61(11), pages 522-532.
    63. Runqi Lun & Qiyou Luo & Mingjie Gao & Guojing Li & Tengda Wei, 2023. "How to Break the Bottleneck of Potato Production Sustainable Growth—A Survey from Potato Main Producing Areas in China," Sustainability, MDPI, vol. 15(16), pages 1-16, August.
    64. Arash Dourandish & Sayed Saghaian & Naser Shahnoushi Forushani & Nazanin Mohammadrezazadeh & Sina Kuhestani, 2020. "The Relation Between Property Rights, Farm Size and Technical Efficiency for the Developing Countries' Agricultural Sector," Journal of International Development, John Wiley & Sons, Ltd., vol. 32(5), pages 749-762, July.
    65. Zhang, Qian & Sun, Zhongxiao & Huang, Wei, 2018. "Does land perform well for corn planting? An empirical study on land use efficiency in China," Land Use Policy, Elsevier, vol. 74(C), pages 273-280.
    66. Emad S. Aljohani & Benaissa Chidmi, 2024. "Analyzing Technical Efficiency in Cereal Production across Selected European Union Countries," Sustainability, MDPI, vol. 16(2), pages 1-27, January.
    67. Shen, Zhiyang & Baležentis, Tomas & Chen, Xueli & Valdmanis, Vivian, 2018. "Green growth and structural change in Chinese agricultural sector during 1997–2014," China Economic Review, Elsevier, vol. 51(C), pages 83-96.
    68. Song, Donghui & Chen, Tong Zhang Po & Chen, Fengbo, 2021. "Heterogeneous Effects of Off-farm Employment on Production Choices of Rice Farmers in China," 2021 ASAE 10th International Conference (Virtual), January 11-13, Beijing, China 329415, Asian Society of Agricultural Economists (ASAE).
    69. Sauer, Johannes & Davidova, Sophia & Gorton, Matthew, 2012. "Heterogeneous Technologies as an Answer to Market and Price Risk: The Case of Kosovo," 123rd Seminar, February 23-24, 2012, Dublin, Ireland 122509, European Association of Agricultural Economists.
    70. Lima, Jinyang & Nama, Changi & Kimb, Seongcheol, 2012. "A new regional classification for mobile telecommunications diffusion policy in China: Using the innovation and imitation coefficients," 23rd European Regional ITS Conference, Vienna 2012 60358, International Telecommunications Society (ITS).
    71. Zhu, Shu & Xu, Xin & Ren, Xiaojing & Sun, Tianhua & Oxley, Les & Rae, Allan & Ma, Hengyun, 2016. "Modeling technological bias and factor input behavior in China's wheat production sector," Economic Modelling, Elsevier, vol. 53(C), pages 245-253.
    72. Qianxi Zhang & Zehui Chen & Fei Li, 2021. "Appropriate Management Scale of Farmland and Regional Differences under Different Objectives in Shaanxi Province, China," Land, MDPI, vol. 10(3), pages 1-15, March.
    73. Shi, Yuxing & Cai, Yu & Zhao, Minjuan, 2021. "Social interaction effect of rotational grazing and its policy implications for sustainable use of grassland: Evidence from pastoral areas in Inner Mongolia and Gansu, China," Land Use Policy, Elsevier, vol. 111(C).
    74. Peng, Y. & Turvey, C. & Kong, R., 2018. "An Analysis of China s Reforms on Mortgaging and Transacting Rural Land Use Rights and Entrepreneurial Activity," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277308, International Association of Agricultural Economists.
    75. Rungsuriyawiboon, Supawat & Wang, Xiaobing, 2007. "Recent evidence on agricultural efficiency and productivity in China: a metafrontier approach [Neue Anhaltspunkte für Effizienz und Produktivität in der chinesischen Agrarproduktion: Eine Metafront," IAMO Discussion Papers 104, Leibniz Institute of Agricultural Development in Transition Economies (IAMO).
    76. Khanal, Uttam & Wilson, Clevo & Shankar, Sriram & Hoang, Viet-Ngu & Lee, Boon, 2018. "Farm performance analysis: Technical efficiencies and technology gaps of Nepalese farmers in different agro-ecological regions," Land Use Policy, Elsevier, vol. 76(C), pages 645-653.
    77. Qiong Jia & Mengfei Li & Xuecheng Dou, 2022. "Climate Change Affects Crop Production Potential in Semi-Arid Regions: A Case Study in Dingxi, Northwest China, in Recent 30 Years," Sustainability, MDPI, vol. 14(6), pages 1-12, March.

  5. Chen, Zhuo & Huffman, Wallace E. & Rozelle, Scott, 2004. "Migration And Local Off-Farm Working In Rural China," 2004 Annual meeting, August 1-4, Denver, CO 20075, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

    Cited by:

    1. Glauben, Thomas & Herzfeld, Thomas & Wang, Xiaobing, 2006. "The Dynamics of Chinese Rural Households' Participation in Labor Markets," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25751, International Association of Agricultural Economists.
    2. Wang, Xiaobing & Herzfeld, Thomas & Glauben, Thomas, 2007. "Labor allocation in transition: Evidence from Chinese rural households," China Economic Review, Elsevier, vol. 18(3), pages 287-308.
    3. Xuan Chen & Jing Chen & Chien-Yu Huang, 2019. "Too Risky to Focus on Agriculture? An Empirical Study of China’s Agricultural Households’ Off-Farm Employment Decisions," Sustainability, MDPI, vol. 11(3), pages 1-18, January.
    4. BROSIG, Stephan & GLAUBEN, Thomas & Herzfeld, Thomas & WANG, Xiaobing, 2009. "Persistence of full- and part-time farming in Southern China," China Economic Review, Elsevier, vol. 20(2), pages 360-371, June.
    5. Jia, Lili, 2012. "Land fragmentation and off-farm labor supply in China," Studies on the Agricultural and Food Sector in Transition Economies, Leibniz Institute of Agricultural Development in Transition Economies (IAMO), volume 66, number 66.
    6. Fangbin Qiao & Scott Rozelle & Linxiu Zhang & Yi Yao & Jian Zhang, 2015. "Impact of Childcare and Eldercare on Off-farm Activities in Rural China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 23(2), pages 100-120, March.
    7. Liwen, Chen & Zeng, Xiangquan & Yumei, Yang, 2011. "Rural Labor Absorption Efficiency in Urban Areas under Different Urbanization Patterns and Industrial Structures: The Case of China," IZA Discussion Papers 6189, Institute of Labor Economics (IZA).
    8. Wang, Xiaobing, 2007. "Labor market behavior of Chinese rural households during transition," Studies on the Agricultural and Food Sector in Transition Economies, Leibniz Institute of Agricultural Development in Transition Economies (IAMO), volume 42, number 92321.
    9. Glauben, Thomas & Herzfeld, Thomas & Wang, Xiaobing, 2005. "Labor Market Participation of Chinese Agricultural Households," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24516, European Association of Agricultural Economists.
    10. Chen, Xuan & Chen, Jing & Huang, Chien-Yu, 2016. "Assessing Off-farm Employment Decisions of Rural Households in China," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236262, Agricultural and Applied Economics Association.
    11. Glauben, Thomas & Herzfeld, Thomas & Wang, Xiaobing, 2008. "Labor market participation of Chinese agricultural households: Empirical evidence from Zhejiang province," Food Policy, Elsevier, vol. 33(4), pages 329-340, August.

Articles

  1. Liu, Ning & Chen, Zhuo & Bao, Guoxian, 2021. "Role of media coverage in mitigating COVID-19 transmission: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 163(C).

    Cited by:

    1. Xiao Gu & Bojan Obrenovic & Wei Fu, 2023. "Empirical Study on Social Media Exposure and Fear as Drivers of Anxiety and Depression during the COVID-19 Pandemic," Sustainability, MDPI, vol. 15(6), pages 1-18, March.
    2. Alam, Faizan & Tao, Meng & Rastogi, Rashmi & Mendiratta, Aparna & Attri, Rekha, 2024. "Do social media influencers influence the vaccination drive? An application of source credibility theory and uses and gratification theory," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    3. Sung, Nakil & Kim, Minchang, 2023. "COVID-19 and changes in content usage behavior: The case of South Korea," Telecommunications Policy, Elsevier, vol. 47(1).
    4. Richet, Jean-Loup & Currás-Móstoles, Rosa & Martín, José María Martín, 2024. "Complexity in online collective assessments: Implications for the wisdom of the crowd," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    5. Burcu Ozgun & Tom Broekel, 2024. "Saved by the news? COVID-19 in German news and its relationship with regional mobility behaviour," Regional Studies, Taylor & Francis Journals, vol. 58(2), pages 365-380, February.
    6. Alkhazzan, Abdulwasea & Wang, Jungang & Nie, Yufeng & Khan, Hasib & Alzabut, Jehad, 2023. "An effective transport-related SVIR stochastic epidemic model with media coverage and Lévy noise," Chaos, Solitons & Fractals, Elsevier, vol. 175(P1).
    7. Schlembach, Christoph & Schmidt, Sascha L. & Schreyer, Dominik & Wunderlich, Linus, 2022. "Forecasting the Olympic medal distribution – A socioeconomic machine learning model," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    8. Michela Piccarozzi & Cecilia Silvestri & Patrizio Morganti, 2021. "COVID-19 in Management Studies: A Systematic Literature Review," Sustainability, MDPI, vol. 13(7), pages 1-28, March.
    9. Koutou, Ousmane & Diabaté, Abou Bakari & Sangaré, Boureima, 2023. "Mathematical analysis of the impact of the media coverage in mitigating the outbreak of COVID-19," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 205(C), pages 600-618.
    10. Khan, Ali Nawaz, 2021. "A diary study of psychological effects of misinformation and COVID-19 Threat on work engagement of working from home employees," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    11. Cruz-Cárdenas, Jorge & Zabelina, Ekaterina & Guadalupe-Lanas, Jorge & Palacio-Fierro, Andrés & Ramos-Galarza, Carlos, 2021. "COVID-19, consumer behavior, technology, and society: A literature review and bibliometric analysis," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    12. Liu, Ning & Bao, Guoxian & Wu, Shaolong, 2023. "Social implications of Covid-19: Its impact on general trust, political trust, and trust in physicians in China," Social Science & Medicine, Elsevier, vol. 317(C).

  2. Ning Liu & Zhuo Chen & Guoxian Bao, 2021. "Unpacking the red packets: institution and informal payments in healthcare in China," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(8), pages 1183-1194, November.

    Cited by:

    1. Liu, Ning & Bao, Guoxian & Wu, Shaolong, 2023. "Social implications of Covid-19: Its impact on general trust, political trust, and trust in physicians in China," Social Science & Medicine, Elsevier, vol. 317(C).

  3. Chen, Zhuo, 2020. "COVID-19: A revelation – A reply to Ian Mitroff," Technological Forecasting and Social Change, Elsevier, vol. 156(C).

    Cited by:

    1. Yoo, Sunbin & Managi, Shunsuke, 2020. "Global mortality benefits of COVID-19 action," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    2. Margherita, Alessandro & Elia, Gianluca & Klein, Mark, 2021. "Managing the COVID-19 emergency: A coordination framework to enhance response practices and actions," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    3. Verma, Surabhi & Gustafsson, Anders, 2020. "Investigating the emerging COVID-19 research trends in the field of business and management: A bibliometric analysis approach," Journal of Business Research, Elsevier, vol. 118(C), pages 253-261.
    4. Luo, Jianxi, 2021. "Forecasting COVID-19 pandemic: Unknown unknowns and predictive monitoring," Technological Forecasting and Social Change, Elsevier, vol. 166(C).

  4. Wang, Ruoxi & Chen, Zhuo & Zhou, Yongjie & Shen, Lining & Zhang, Zhiguo & Wu, Xiang, 2019. "Melancholy or mahjong? Diversity, frequency, type, and rural-urban divide of social participation and depression in middle- and old-aged Chinese: A fixed-effects analysis," Social Science & Medicine, Elsevier, vol. 238(C), pages 1-1.

    Cited by:

    1. Wenran Xia & Jeroen D. H. van Wijngaarden & Robbert Huijsman & Martina Buljac-Samardžić, 2022. "Effect of Receiving Financial Support from Adult Children on Depression among Older Persons and the Mediating Role of Social Participation," IJERPH, MDPI, vol. 19(19), pages 1-16, October.
    2. Ding, Xiangyuan & Yuan, Luoqi & Zhou, Yi, 2023. "Internet access and older adults' health: Evidence from China," China Economic Review, Elsevier, vol. 82(C).
    3. Jin Wang & Nan Liu & Xiaoguang Zhao, 2022. "Association of Playing Cards or Mahjong with Cognitive Function in Chinese Older Adults," IJERPH, MDPI, vol. 19(15), pages 1-11, July.
    4. Chiyoung Lee & Jee-Seon Yi, 2021. "Socioeconomic Classes among Oldest-Old Women in South Korea: A Latent Class Analysis," IJERPH, MDPI, vol. 18(24), pages 1-13, December.
    5. Xin Gao & Tieying Feng, 2020. "Public Pension, Labor Force Participation, and Depressive Symptoms across Gender among Older Adults in Rural China: A Moderated Mediation Analysis," IJERPH, MDPI, vol. 17(9), pages 1-13, May.
    6. Wang, Mingzhe & Huang, Hai & Xiong, Jie & Yuan, Zhe & Zeng, Keya, 2023. "Impact of ecological reserves on the local residents’ health: Evidence from a natural experiment in China," Social Science & Medicine, Elsevier, vol. 336(C).
    7. Sha Sha & Sunny H. W. Chan & Lin Chen & Yuebin Xu & Yao Pan, 2022. "The Association between Trajectories of Loneliness and Physical Frailty in Chinese Older Adults: Does Age Matter?," IJERPH, MDPI, vol. 19(9), pages 1-12, April.
    8. Junfeng Jiang & Jiang Song, 2022. "Health Consequences of Online Social Capital among Middle-Aged and Older Adults in China," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 17(4), pages 2277-2297, August.
    9. Li, Wei & Liu, Echu & Balezentis, Tomas & Jin, Huanhuan & Streimikiene, Dalia, 2021. "Association between socioeconomic welfare and depression among older adults: Evidence from the China health and Retirement Longitudinal Study," Social Science & Medicine, Elsevier, vol. 275(C).
    10. Junfeng Jiang & Peigang Wang, 2022. "Which Generation is More Likely to Participate in Society? A Longitudinal Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 162(1), pages 209-229, July.

  5. Chen, Zhuo & Gotway Crawford, Carol A., 2012. "The role of geographic scale in testing the income inequality hypothesis as an explanation of health disparities," Social Science & Medicine, Elsevier, vol. 75(6), pages 1022-1031.

    Cited by:

    1. Du, Hongfei & King, Ronnel B. & Chi, Peilian, 2019. "Income inequality is detrimental to long-term well-being: A large-scale longitudinal investigation in China," Social Science & Medicine, Elsevier, vol. 232(C), pages 120-128.
    2. Zeng, Di & You, Wen & Mills, Bradford & Alwang, Jeffrey & Royster, Michael & Anson-Dwamena, Rexford, 2015. "A closer look at the rural-urban health disparities: Insights from four major diseases in the Commonwealth of Virginia," Social Science & Medicine, Elsevier, vol. 140(C), pages 62-68.
    3. Jon Erik Finnvold, 2019. "How Income Inequality and Immigrant Background Affect children’s Use of Mental Healthcare Services in Oslo, Norway," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 12(6), pages 1881-1896, December.
    4. Rözer, Jesper Jelle & Volker, Beate, 2016. "Does income inequality have lasting effects on health and trust?," Social Science & Medicine, Elsevier, vol. 149(C), pages 37-45.
    5. Herian, Mitchel N. & Tay, Louis & Hamm, Joseph A. & Diener, Ed, 2014. "Social capital, ideology, and health in the United States," Social Science & Medicine, Elsevier, vol. 105(C), pages 30-37.
    6. Clément, Matthieu & Levasseur, Pierre & Seetahul, Suneha & Piaser, Lucie, 2021. "Does inequality have a silver lining? Municipal income inequality and obesity in Mexico," Social Science & Medicine, Elsevier, vol. 272(C).
    7. Liu, Qihong & Xie, Xin, 2024. "Product line competition: An empirical analysis of the Chinese airline industry," China Economic Review, Elsevier, vol. 83(C).
    8. Tommy Haugan & Sally Muggleton & Arnhild Myhr, 2021. "Psychological distress in late adolescence: The role of inequalities in family affluence and municipal socioeconomic characteristics in Norway," PLOS ONE, Public Library of Science, vol. 16(7), pages 1-25, July.
    9. Tiffany S. Neman, 2020. "Does Your Neighborhood’s Income Distribution Matter? A Multi-scale Study of Financial Well-Being in the U.S," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 152(3), pages 951-970, December.
    10. Thayer Alshaabi & David R Dewhurst & James P Bagrow & Peter S Dodds & Christopher M Danforth, 2021. "The sociospatial factors of death: Analyzing effects of geospatially-distributed variables in a Bayesian mortality model for Hong Kong," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-20, March.
    11. Arndis Vilhjalmsdottir & Bart Clercq & Ragna B. Gardarsdottir & Jon Gunnar Bernburg & Inga Dora Sigfusdottir, 2019. "Decreasing income inequality and adolescent emotional distress: a population-based case study of Icelandic adolescents 2006–2016," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 64(2), pages 253-263, March.
    12. Wang, Ruoxi & Chen, Zhuo & Zhou, Yongjie & Shen, Lining & Zhang, Zhiguo & Wu, Xiang, 2019. "Melancholy or mahjong? Diversity, frequency, type, and rural-urban divide of social participation and depression in middle- and old-aged Chinese: A fixed-effects analysis," Social Science & Medicine, Elsevier, vol. 238(C), pages 1-1.
    13. Wang, Chao & Feng, Chen & Bai, Caiquan, 2023. "Industrial policy and resident health: Historical evidence from China’s Third Front construction," Journal of Asian Economics, Elsevier, vol. 89(C).
    14. Saloni Dev & Daniel Kim, 2020. "State-Level Income Inequality and County-Level Social Capital in Relation to Individual-Level Depression in Middle-Aged Adults: A Lagged Multilevel Study," IJERPH, MDPI, vol. 17(15), pages 1-12, July.
    15. Pickett, Kate E. & Wilkinson, Richard G., 2015. "Income inequality and health: A causal review," Social Science & Medicine, Elsevier, vol. 128(C), pages 316-326.
    16. Yuxin Wang & Wenlong Li & Jinping Xiong & Ying Li & Huaqing Wu, 2019. "Effect of Land Expropriation on Land-Lost Farmers’ Health: Empirical Evidence from Rural China," IJERPH, MDPI, vol. 16(16), pages 1-12, August.

  6. Zhuo Chen & Kakoli Roy & Carol A. Gotway Crawford, 2012. "Evaluation Of Variance Estimators For The Concentration And Health Achievement Indices: A Monte Carlo Simulation," Health Economics, John Wiley & Sons, Ltd., vol. 21(11), pages 1375-1381, November.

    Cited by:

    1. Yuxin Wang & Wenlong Li & Jinping Xiong & Ying Li & Huaqing Wu, 2019. "Effect of Land Expropriation on Land-Lost Farmers’ Health: Empirical Evidence from Rural China," IJERPH, MDPI, vol. 16(16), pages 1-12, August.

  7. Zhuo Chen & Qi Zhang, 2011. "Nutrigenomics Hypothesis: Examining the Association Between Food Stamp Program Participation and Bodyweight Among Low-Income Women," Journal of Family and Economic Issues, Springer, vol. 32(3), pages 508-520, September.

    Cited by:

    1. Anoshua Chaudhuri, 2021. "Health Research in JFEI Over a Decade: 2009–2019," Journal of Family and Economic Issues, Springer, vol. 42(1), pages 142-153, July.
    2. Jenna T. Hayes & Angela VanBrackle & Madeleine Sigman-Grant, 2016. "Influence of Perceived Economic Strain on the Relationship Between Caregiver BMI and Child BMI," Journal of Family and Economic Issues, Springer, vol. 37(2), pages 172-181, June.
    3. Nav Persaud & Liane Steiner & Hannah Woods & Tatiana Aratangy & Susitha Wanigaratne & Jane Polsky & Stephen Hwang & Gurleen Chahal & Andrew Pinto, 2019. "Health outcomes related to the provision of free, tangible goods: A systematic review," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-29, March.

  8. Shunfeng Song & Erqian Zhu & Zhuo Chen, 2011. "Equal Work Opportunity but Unequal Income," Chinese Economy, Taylor & Francis Journals, vol. 44(1), pages 39-45, January.

    Cited by:

    1. 岩﨑, 一郎 & Iwasaki, Ichiro & 馬, 欣欣 & Ma, Xin Xin, 2019. "現代中国における男女賃金格差: メタ分析による接近," Discussion Paper Series 689, Institute of Economic Research, Hitotsubashi University.
    2. Iwasaki, Ichiro & 岩崎, 一郎 & Ma, Xinxin, 2020. "Gender Wage Gap in China: A Large Meta-Analysis," CEI Working Paper Series 2020-5, Center for Economic Institutions, Institute of Economic Research, Hitotsubashi University.

  9. Zhuo Chen & Wallace E. Huffman & Scott Rozelle, 2011. "Inverse Relationship Between Productivity And Farm Size: The Case Of China," Contemporary Economic Policy, Western Economic Association International, vol. 29(4), pages 580-592, October.

    Cited by:

    1. Bazyli CZYZEWSKI & Adam MAJCHRZAK, 2017. "Economic size of farms and adjustments of the total factor productivity to the business cycle in Polish agriculture," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 63(2), pages 93-102.
    2. Yao, Ling & Chen, Qihui & Wu, Laping, 2018. "Heterogeneous supply response: Does high price expectation attenuate the inverse farm size-productivity relationship in China?," 2018 Annual Meeting, August 5-7, Washington, D.C. 274363, Agricultural and Applied Economics Association.
    3. Chen, H., 2018. "Can Crop Insurance Market Benefit Land Rental Market by Mitigating the Inverse-Relationship Concern," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277003, International Association of Agricultural Economists.
    4. Lingling Hou & Pengfei Liu & Jikun Huang & Xiangzheng Deng, 2020. "The influence of risk preferences, knowledge, land consolidation, and landscape diversification on pesticide use," Agricultural Economics, International Association of Agricultural Economists, vol. 51(5), pages 759-776, September.
    5. Wanglin Ma & Awudu Abdulai, 2017. "The economic impacts of agricultural cooperatives on smallholder farmers in rural China," Agribusiness, John Wiley & Sons, Ltd., vol. 33(4), pages 537-551, September.
    6. Bazyli CZYZEWSKI & Anna MATUSZCZAK, 2018. "Towards measuring political rents in agriculture: case studies of different agrarian structures in the EU," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 64(3), pages 101-114.
    7. Desiere, Sam & Jolliffe, Dean, 2018. "Land productivity and plot size: Is measurement error driving the inverse relationship?," Journal of Development Economics, Elsevier, vol. 130(C), pages 84-98.
    8. Yong Liu & Jorge Ruiz-Menjivar & Junbiao Zhang, 2023. "Do soil nutrient management practices improve climate resilience? Empirical evidence from rice farmers in central China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(9), pages 10029-10054, September.
    9. Owusu-Sekyere, Enoch & Bibariwiah, Cindy & Owusu, Victor & Donkor, Emmanuel, 2021. "Farming under irrigation management transfer scheme and its impact on yield and net returns in Ghana," Land Use Policy, Elsevier, vol. 102(C).
    10. Luo, Yufeng & Chen, Feifei & Qiu, Huanguang, 2018. "Plot size and maize production efficiency in China: agricultural involution and mechanization," 2018 Annual Meeting, August 5-7, Washington, D.C. 274364, Agricultural and Applied Economics Association.
    11. Wenjing Han & Zhengfeng Zhang & Xiaoling Zhang & Li He, 2021. "Farmland Rental Participation, Agricultural Productivity, and Household Income: Evidence from Rural China," Land, MDPI, vol. 10(9), pages 1-22, August.
    12. Cheng, Shen & Bravo-Ureta, Boris E. & Zheng, Zhihao & Sun, Hao, 2017. "Land Consolidation, Productivity and Technical Efficiency: Evidence from a Cross Section of Farm Households in China," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258533, Agricultural and Applied Economics Association.
    13. Zhang, Jian & Mishra, Ashok K. & Hirsch, Stefan & Li, Xiaoshun, 2020. "Factors affecting farmland rental in rural China: Evidence of capitalization of grain subsidy payments," Land Use Policy, Elsevier, vol. 90(C).
    14. Bazyli Czyżewski & Andrzej Czyżewski & Łukasz Kryszak, 2019. "The Market Treadmill Against Sustainable Income of European Farmers: How the CAP Has Struggled with Cochrane’s Curse," Sustainability, MDPI, vol. 11(3), pages 1-16, February.
    15. Mensah, Edouard R. & Kostandini, Genti, 2020. "The inverse farm size-productivity relationship under land size mis-measurement and in the presence of weather and price risks: Panel data evidence from Uganda," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304477, Agricultural and Applied Economics Association.
    16. von Braun, Joachim & Mirzabaev, Alisher, 2015. "Small Farms: Changing Structures and Roles in Economic Development," Discussion Papers 210464, University of Bonn, Center for Development Research (ZEF).
    17. Vincent Ngeno, 2018. "Impact of dairy hubs on smallholder welfare: empirical evidence from Kenya," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 6(1), pages 1-12, December.
    18. Zhang, Jian & Mishra, Ashok K. & Hirsch, Stefan, 2021. "Market-oriented agriculture and farm performance: Evidence from rural China," Food Policy, Elsevier, vol. 100(C).
    19. Ma, Wanglin & Abdulai, Awudu, 2015. "Linking apple farmers to markets: Determinants and impacts of marketing contracts in China," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 202719, Agricultural and Applied Economics Association.
    20. Xingguang Li & Xuexi Huo, 2022. "Agricultural labor markets and the inverse plot size–productivity relationship: Evidence from China's apple growers," Review of Development Economics, Wiley Blackwell, vol. 26(4), pages 2163-2183, November.
    21. Youmanli OUOBA, 2018. "Industrial mining land use and poverty in regions of Burkina Faso," Agricultural Economics, International Association of Agricultural Economists, vol. 49(4), pages 511-520, July.
    22. Ali, Daniel Ayalew & Deininger, Klaus, 2014. "Is there a farm-size productivity relationship in African agriculture ? evidence from Rwanda," Policy Research Working Paper Series 6770, The World Bank.
    23. Braima Pascal Komba & Almazea Fatima & Khalid Mushtaq & Sarfraz Hassan, 2023. "Farmland Loss and Livelihood Effects: Diamond and Gold Mining Implications on Farmers’ Sustainability in Sierra Leone," Journal of Economic Impact, Science Impact Publishers, vol. 5(3), pages 238-245.
    24. Campos-Ortiz Francisco & Oviedo-Pacheco Mariana, 2013. "Study on the Competitiveness of the Mexican Sugar Industry," Working Papers 2013-16, Banco de México.
    25. Wang, Xiaolong & Chen, Yuanquan & Sui, Peng & Yan, Peng & Yang, Xiaolei & Gao, Wangsheng, 2017. "Preliminary analysis on economic and environmental consequences of grain production on different farm sizes in North China Plain," Agricultural Systems, Elsevier, vol. 153(C), pages 181-189.
    26. Nakatani, Ryota, 2023. "Food Companies’ Productivity Dynamics: Exploring the Role of Intangible Assets," MPRA Paper 117868, University Library of Munich, Germany.
    27. Ashok Mishra & Kamel Louhichi & Giampiero Genovese & Sergio Gomez y Paloma, 2023. "Insights into land size and productivity in Ethiopia: What do data and heterogenous analysis reveal? [Aperçu de la relation taille des exploitations et productivité en Éthiopie : que révèlent les d," Post-Print hal-03965902, HAL.
    28. Rada, Nicholas & Wang, Chenggang & Qin, Lijian, 2015. "Subsidy or market reform? Rethinking China’s farm consolidation strategy," Food Policy, Elsevier, vol. 57(C), pages 93-103.
    29. Zuo, Alec & Wang, Jinxia & Huang, Qiuqiong, 2020. "Willingness to accept compensation for land fallowing: results from a survey of village representatives in Northern China," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(3), July.
    30. Alec Zuo & Jinxia Wang & Qiuqiong Huang, 2020. "Willingness to accept compensation for land fallowing: results from a survey of village representatives in Northern China," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(3), pages 845-866, July.
    31. Chen, Huang, 2017. "Agricultural Risk, Insurance, and the Land-productivity Inverse Relationship," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258212, Agricultural and Applied Economics Association.
    32. Mansoor Maitah & Ahmed Murjan & Helena Rezbov & Mustofa Jehar, 2016. "Economic Analysis of Olive Oil Production Costs as Influenced by Farm Size in Syrian Coastal Region," International Journal of Economics and Financial Issues, Econjournals, vol. 6(1), pages 154-162.

  10. Qi Zhang & Zhuo Chen & Norou Diawara & Youfa Wang, 2011. "Prices of Unhealthy Foods, Food Stamp Program Participation, and Body Weight Status Among U.S. Low-Income Women," Journal of Family and Economic Issues, Springer, vol. 32(2), pages 245-256, June.

    Cited by:

    1. Anoshua Chaudhuri, 2021. "Health Research in JFEI Over a Decade: 2009–2019," Journal of Family and Economic Issues, Springer, vol. 42(1), pages 142-153, July.
    2. Powell, Lisa M. & Jones, Kelly & Duran, Ana Clara & Tarlov, Elizabeth & Zenk, Shannon N., 2019. "The price of ultra-processed foods and beverages and adult body weight: Evidence from U.S. veterans," Economics & Human Biology, Elsevier, vol. 34(C), pages 39-48.
    3. Gračner, Tadeja, 2021. "Bittersweet: How prices of sugar-rich foods contribute to the diet-related disease epidemic in Mexico," Journal of Health Economics, Elsevier, vol. 80(C).

  11. Monchuk, Daniel C. & Chen, Zhuo & Bonaparte, Yosef, 2010. "Explaining production inefficiency in China's agriculture using data envelopment analysis and semi-parametric bootstrapping," China Economic Review, Elsevier, vol. 21(2), pages 346-354, June.

    Cited by:

    1. Lita Iulian & Stamule Tănase, 2018. "Using non-parametric technical data envelopment analysis - DEA, for measuring productive technical efficiency," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 12(1), pages 533-543, May.
    2. Zhang, Yuquan W. & Beach, Robert H. & Cai, Yongxia, 2013. "China’s Agriculture under Urbanization: A Partial Equilibrium Analysis," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150782, Agricultural and Applied Economics Association.
    3. Kaiwen Ji & Qiaoyun Hou & Yi Yu & Dan Pan, 2023. "Rural E-Commerce and Agricultural Carbon Emission Reduction: A Quasi-Natural Experiment from China’s Rural E-Commerce Demonstration County Program Based on 355 Cities in Ten Years," Agriculture, MDPI, vol. 14(1), pages 1-16, December.
    4. Chloé Duvivier, 2013. "Does Urban Proximity Enhance Technical Efficiency? Evidence From Chinese Agriculture," Journal of Regional Science, Wiley Blackwell, vol. 53(5), pages 923-943, December.
    5. Xingle Long & Yusen Luo & Huaping Sun & Gang Tian, 2018. "Fertilizer using intensity and environmental efficiency for China’s agriculture sector from 1997 to 2014," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 92(3), pages 1573-1591, July.
    6. Haonan Zhang & Zheng Chen & Jieyong Wang & Haitao Wang & Yingwen Zhang, 2023. "Spatial-Temporal Pattern of Agricultural Total Factor Productivity Change (Tfpch) in China and Its Implications for Agricultural Sustainable Development," Agriculture, MDPI, vol. 13(3), pages 1-17, March.
    7. von Hobe, Cord-Friedrich & Michels, Marius & Musshoff, Oliver, 2021. "Technical efficiency and productivity change in German large-scale arable farming," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 70(01), January.
    8. Ma, Shuzhong & Feng, Han, 2013. "Will the decline of efficiency in China's agriculture come to an end? An analysis based on opening and convergence," China Economic Review, Elsevier, vol. 27(C), pages 179-190.
    9. Lin, Boqiang & Xu, Bin, 2018. "Factors affecting CO2 emissions in China's agriculture sector: A quantile regression," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 15-27.
    10. Zhou, Xianbo & Li, Kui-Wai & Li, Qin, 2010. "An Analysis on Technical Efficiency in Post-reform China," MPRA Paper 41034, University Library of Munich, Germany.
    11. Joanna Wolszczak-Derlacz & Aleksandra Parteka, 2011. "Efficiency of European public higher education institutions: a two-stage multicountry approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(3), pages 887-917, December.
    12. Xu, Bin & Lin, Boqiang, 2017. "Factors affecting CO2 emissions in China’s agriculture sector: Evidence from geographically weighted regression model," Energy Policy, Elsevier, vol. 104(C), pages 404-414.
    13. Zhilu Sun & Xiande Li, 2021. "Technical Efficiency of Chemical Fertilizer Use and Its Influencing Factors in China’s Rice Production," Sustainability, MDPI, vol. 13(3), pages 1-18, January.
    14. Kuhn, Lena & Balezentis, Tomas & Hou, Lingling & Wang, Dan, 2020. "Technical and environmental efficiency of livestock farms in China: A slacks-based DEA approach," China Economic Review, Elsevier, vol. 62(C).
    15. Gong, Binlei, 2020. "Agricultural productivity convergence in China," China Economic Review, Elsevier, vol. 60(C).
    16. Dong, Zefeng & Guan, Zhengfei & Grogan, Kelly A. & Skevas, Theodoros, 2015. "Energy and Environmental Efficiency of Greenhouse Growers in Michigan," 2015 Annual Meeting, January 31-February 3, 2015, Atlanta, Georgia 196840, Southern Agricultural Economics Association.
    17. Li, Nan & Jiang, Yuqing & Mu, Hailin & Yu, Zhixin, 2018. "Efficiency evaluation and improvement potential for the Chinese agricultural sector at the provincial level based on data envelopment analysis (DEA)," Energy, Elsevier, vol. 164(C), pages 1145-1160.
    18. Nodin, Mohd Norazmi & Mustafa, Zainol & Hussain, Saiful Izzuan, 2023. "Eco-efficiency assessment of Malaysian rice self-sufficiency approach," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    19. Shiwei LIU & Pingyu ZHANG & Xiuli HE & Jing LI, 2015. "Efficiency change in North-East China agricultural sector: A DEA approach," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 61(11), pages 522-532.
    20. Tamer Işgın & Remziye Özel & Abdulbaki Bilgiç & Wojciech J. Florkowski & Mehmet Reşit Sevinç, 2020. "DEA Performance Measurements in Cotton Production of Harran Plain, Turkey: A Single and Double Bootstrap Truncated Regression Approaches," Agriculture, MDPI, vol. 10(4), pages 1-17, April.
    21. Nodin, Mohd Norazmi & Mustafa, Zainol & Hussain, Saiful Izzuan, 2022. "Assessing rice production efficiency for food security policy planning in Malaysia: A non-parametric bootstrap data envelopment analysis approach," Food Policy, Elsevier, vol. 107(C).
    22. Wei-Kang Wang & Wen-Min Lu & Qian Long Kweh & Yu-Li Liu, 2017. "Decentralized and concentrated investments in China and the performance of Taiwanese listed electronic companies," Applied Economics, Taylor & Francis Journals, vol. 49(25), pages 2443-2455, May.

  12. Seong-Hoon Cho & Zhuo Chen & Neelam Poudyal, 2010. "Spatial structure of agricultural production in China," Applied Economics, Taylor & Francis Journals, vol. 42(16), pages 2031-2040.

    Cited by:

    1. Chloé Duvivier, 2013. "Does Urban Proximity Enhance Technical Efficiency? Evidence From Chinese Agriculture," Journal of Regional Science, Wiley Blackwell, vol. 53(5), pages 923-943, December.
    2. Meilin Ma & Sandro Steinbach & Junqian Wu, 2014. "A Study on Regional Specialization of China’s Agricultural Production: Recent Trends and Drivers," Asian Journal of Agriculture and Rural Development, Asian Economic and Social Society, vol. 4(2), pages 113-127.
    3. İbrahim Bozkurt & M. Veysel Kaya, 2021. "Agricultural production index: International comparison," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 67(6), pages 236-245.

  13. Chen, Z. & Roy, K. & Crawford, C.A.G., 2010. "Examining the role of gender in career advancement at the centers for disease control and prevention," American Journal of Public Health, American Public Health Association, vol. 100(3), pages 426-434.

    Cited by:

    1. Robin R. Mellecker & Lisa Witherspoon & Tom Watterson, 2013. "Active Learning: Educational Experiences Enhanced Through Technology-Driven Active Game Play," The Journal of Educational Research, Taylor & Francis Journals, vol. 106(5), pages 352-359, September.
    2. Eduardo Simoes & Sergio Mariotti & Alessandra Rossi & Alicia Heim & Felipe Lobello & Ali Mokdad & Emanuele Scafato, 2012. "The Italian health surveillance (SiVeAS) prioritization approach to reduce chronic disease risk factors," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 57(4), pages 719-733, August.
    3. Henry H. Willis & Melinda Moore, 2014. "Improving the Value of Analysis for Biosurveillance," Decision Analysis, INFORMS, vol. 11(1), pages 63-81, March.
    4. Yi-Ching Lin & Chung-Ying Lin, 2018. "Minor Symptoms Talk: How Children React to Encountered Bullying," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 11(6), pages 1755-1768, December.
    5. Valentin Nădăşan & Kristie L. Foley & Melinda Pénzes & Edit Paulik & Ştefan Mihăicuţă & Zoltán Ábrám & Jozsef Bálint & Robert Urbán, 2016. "Use of electronic cigarettes and alternative tobacco products among Romanian adolescents," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 61(2), pages 199-207, March.

  14. Seong-Hoon Cho & Dayton Lambert & Zhuo Chen, 2010. "Geographically weighted regression bandwidth selection and spatial autocorrelation: an empirical example using Chinese agriculture data," Applied Economics Letters, Taylor & Francis Journals, vol. 17(8), pages 767-772.

    Cited by:

    1. Zhang, Pengyan & Yang, Dan & Qin, Mingzhou & Jing, Wenlong, 2020. "Spatial heterogeneity analysis and driving forces exploring of built-up land development intensity in Chinese prefecture-level cities and implications for future Urban Land intensive use," Land Use Policy, Elsevier, vol. 99(C).
    2. Valerien O. Pede, 2009. "A Spatial Econometric Star Model With An Application To U.S. County Economic Growth, 1969-2003," Working Papers 09-03, Purdue University, College of Agriculture, Department of Agricultural Economics.
    3. Dieter von Fintel, 2018. "Long-run spatial inequality in South Africa: early settlement patterns and separate development," Working Papers 16/2018, Stellenbosch University, Department of Economics.
    4. Gianluca Boo & Stefan Leyk & Christopher Brunsdon & Ramona Graf & Andreas Pospischil & Sara Irina Fabrikant, 2018. "The importance of regional models in assessing canine cancer incidences in Switzerland," PLOS ONE, Public Library of Science, vol. 13(4), pages 1-16, April.
    5. Mouhcine Guettabi & Abdul Munasib, 2014. "“Space Obesity”: The Effect of Remoteness on County Obesity," Growth and Change, Wiley Blackwell, vol. 45(4), pages 518-548, December.
    6. Yi Pan & Qiqi Yuan & Jinsong Ma & Lachun Wang, 2022. "Improved Daily Spatial Precipitation Estimation by Merging Multi-Source Precipitation Data Based on the Geographically Weighted Regression Method: A Case Study of Taihu Lake Basin, China," IJERPH, MDPI, vol. 19(21), pages 1-18, October.
    7. Mouhcine Guettabi & Abdul Munasib, 2014. "Urban Sprawl, Obesogenic Environment, And Child Weight," Journal of Regional Science, Wiley Blackwell, vol. 54(3), pages 378-401, June.
    8. Xu, Wan & Lambert, Dayton M., 2011. "Business Establishment Growth in the Appalachian Region, 2000-2007: An Application of Smooth Transition Spatial Process Models," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 43(3), pages 309-324, August.
    9. Guang Chen & Yue Deng & Apurbo Sarkar & Zhengbing Wang, 2022. "An Integrated Assessment of Different Types of Environment-Friendly Technological Progress and Their Spatial Spillover Effects in the Chinese Agriculture Sector," Agriculture, MDPI, vol. 12(7), pages 1-24, July.
    10. Bo Pieter Johannes Andree & Francisco Blasques & Eric Koomen, 2017. "Smooth Transition Spatial Autoregressive Models," Tinbergen Institute Discussion Papers 17-050/III, Tinbergen Institute.

  15. Chen, Zhuo & Roy, Kakoli & Haddix, Anne C. & Thacker, Stephen B., 2010. "Factors associated with differences in mortality and self-reported health across states in the United States," Health Policy, Elsevier, vol. 94(3), pages 203-210, March.

    Cited by:

    1. John Mullahy & Stephanie Robert, 2010. "No time to lose: time constraints and physical activity in the production of health," Review of Economics of the Household, Springer, vol. 8(4), pages 409-432, December.

  16. Chen, Zhuo & Huffman, Wallace E. & Rozelle, Scott, 2009. "Farm technology and technical efficiency: Evidence from four regions in China," China Economic Review, Elsevier, vol. 20(2), pages 153-161, June.
    See citations under working paper version above.
  17. Chen, Zhuo & Roy, Kakoli, 2009. "Calculating concentration index with repetitive values of indicators of economic welfare," Journal of Health Economics, Elsevier, vol. 28(1), pages 169-175, January.

    Cited by:

    1. Peter Konings & Sam Harper & John Lynch & Ahmad Hosseinpoor & Dirk Berkvens & Vincent Lorant & Andrea Geckova & Niko Speybroeck, 2010. "Analysis of socioeconomic health inequalities using the concentration index," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 55(1), pages 71-74, February.
    2. Veruska Oppedisano & Gilberto Turati, 2011. "What are the causes of educational inequalities and of their evolution over time in Europe? Evidence from Pisa," Working Papers 2011/1, Institut d'Economia de Barcelona (IEB).
    3. Clarke, Philip & Van Ourti, Tom, 2010. "Calculating the concentration index when income is grouped," Journal of Health Economics, Elsevier, vol. 29(1), pages 151-157, January.
    4. Martin Siegel & Andreas Mielck & Werner Maier, 2015. "Individual Income, Area Deprivation, and Health: Do Income‐Related Health Inequalities Vary by Small Area Deprivation?," Health Economics, John Wiley & Sons, Ltd., vol. 24(11), pages 1523-1530, November.
    5. Zhuo Chen & Kakoli Roy & Carol A. Gotway Crawford, 2012. "Evaluation Of Variance Estimators For The Concentration And Health Achievement Indices: A Monte Carlo Simulation," Health Economics, John Wiley & Sons, Ltd., vol. 21(11), pages 1375-1381, November.
    6. Brendan Walsh & Mary Silles & Ciaran O'Neill, 2012. "The Role Of Private Medical Insurance In Socio‐Economic Inequalities In Cancer Screening Uptake In Ireland," Health Economics, John Wiley & Sons, Ltd., vol. 21(10), pages 1250-1256, October.
    7. John E. Ataguba, 2022. "A short note revisiting the concentration index: Does the normalization of the concentration index matter?," Health Economics, John Wiley & Sons, Ltd., vol. 31(7), pages 1506-1512, July.
    8. Pulok, Mohammad Habibullah & van Gool, Kees & Hall, Jane, 2020. "Horizontal inequity in the utilisation of healthcare services in Australia," Health Policy, Elsevier, vol. 124(11), pages 1263-1271.
    9. Walsh, Brendan & Cullinan, John, 2015. "Decomposing socioeconomic inequalities in childhood obesity: Evidence from Ireland," Economics & Human Biology, Elsevier, vol. 16(C), pages 60-72.
    10. Tetsuji Yamada & Chia-Ching Chen & Chiyoe Murata & Hiroshi Hirai & Toshiyuki Ojima & Katsunori Kondo & Joseph R. Harris III, 2015. "Access Disparity and Health Inequality of the Elderly: Unmet Needs and Delayed Healthcare," IJERPH, MDPI, vol. 12(2), pages 1-28, February.
    11. Paolo Liberati & Giovanni Carnazza & Giuliano Resce, 2021. "Income-related inequality in smoking habits: A comparative assessment in the European Union," Departmental Working Papers of Economics - University 'Roma Tre' 0263, Department of Economics - University Roma Tre.
    12. Ovrum, Arnstein & Rickertsen, Kyrre, 2011. "Inequality in Health Versus Inequality in Lifestyles," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114556, European Association of Agricultural Economists.
    13. Mingsheng Chen & Zhonghua Wang, 2022. "Benefits for Older People from Government Subsidies for Healthcare in China: Is the Distribution Equitable?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 160(2), pages 505-521, April.
    14. Veruska Oppedisano & Gilberto Turati, 2015. "What are the causes of educational inequality and of its evolution over time in Europe? Evidence from PISA," Education Economics, Taylor & Francis Journals, vol. 23(1), pages 3-24, February.
    15. Philip Clarke & Tom Van Ourti, 2009. "Correcting the Bias in the Concentration Index when Income is Grouped," CEPR Discussion Papers 599, Centre for Economic Policy Research, Research School of Economics, Australian National University.
    16. Zhou, Guoliang & Chen, Ran & Chen, Mingsheng, 2020. "Equity in health-care financing in China during the progression toward universal health coverage," China Economic Review, Elsevier, vol. 61(C).
    17. Hyacinthe T. Kankeu & Bruno Ventelou, 2016. "Socioeconomic inequalities in informal payments for health care: An assessment of the ‘Robin Hood’ hypothesis in 33 African countries," Post-Print hal-01447857, HAL.
    18. Wagstaff, Adam & Bilger, Marcel & Buisman, Leander R. & Bredenkamp, Caryn, 2014. "Who benefits from government health spending and why? a global assessment," Policy Research Working Paper Series 7044, The World Bank.
    19. Mohammad Habibullah Pulok & Kees Gool & Mohammad Hajizadeh & Sara Allin & Jane Hall, 2020. "Measuring horizontal inequity in healthcare utilisation: a review of methodological developments and debates," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(2), pages 171-180, March.

  18. Zhuo Chen & Seong-Hoon Cho & Neelam Poudyal & Roland K. Roberts, 2009. "Forecasting Housing Prices under Different Market Segmentation Assumptions," Urban Studies, Urban Studies Journal Limited, vol. 46(1), pages 167-187, January.

    Cited by:

    1. Biswas, Arnab, 2012. "Housing submarkets and the impacts of foreclosures on property prices," Journal of Housing Economics, Elsevier, vol. 21(3), pages 235-245.
    2. Renigier-Biłozor, Małgorzata & Janowski, Artur & Walacik, Marek & Chmielewska, Aneta, 2022. "Modern challenges of property market analysis- homogeneous areas determination," Land Use Policy, Elsevier, vol. 119(C).
    3. Myung-Jin Jun, 2018. "Quantifying Welfare Impacts of Air Pollution in Seoul: A Two-Stage Hedonic Price Approach," Journal of Environmental Assessment Policy and Management (JEAPM), World Scientific Publishing Co. Pte. Ltd., vol. 20(02), pages 1-25, June.
    4. Keemin Sohn, 2013. "Feature Mapping the Seoul Metro Station Areas Based on a Self-Organizing Map," Journal of Urban Technology, Taylor & Francis Journals, vol. 20(4), pages 23-42, October.
    5. Usman Hamza & Lizam Mohd & Adekunle Muhammad Usman, 2020. "Property Price Modelling, Market Segmentation and Submarket Classifications: A Review," Real Estate Management and Valuation, Sciendo, vol. 28(3), pages 24-35, September.
    6. Kwon, Sanguk & Cho, Seong-Hoon & Roberts, Roland K. & Kim, Hyun Jae & Park, Kihyun & Edward Yu, T., 2016. "Effects of electricity-price policy on electricity demand and manufacturing output," Energy, Elsevier, vol. 102(C), pages 324-334.
    7. Tang, M. & Thompson, N.M. & Boyer, C.N. & Widmar, N.J.O. & Lusk, J.L., 2023. "Implicit Market Segmentation and Valuation of Angus Bull Attributes," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 48(2), May.

  19. Chen, Zhuo & Meltzer, David, 2008. "Beefing up with the Chans: Evidence for the effects of relative income and income inequality on health from the China Health and Nutrition Survey," Social Science & Medicine, Elsevier, vol. 66(11), pages 2206-2217, June.

    Cited by:

    1. Hongliang Wang & Yiwen Yu, 2016. "Increasing health inequality in China: An empirical study with ordinal data," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 14(1), pages 41-61, March.
    2. Ying Yao & Guanghua Wan & Dongfang Meng, 2019. "Income distribution and health: can polarization explain health outcomes better than inequality?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(4), pages 543-557, June.
    3. Peng Nie & Andrew E. Clark & Conchita d'Ambrosio & Lanlin Ding, 2022. "Income-related health inequality in urban China (1991–2015): The role of homeownership and housing conditions," PSE-Ecole d'économie de Paris (Postprint) halshs-03672658, HAL.
    4. Jian Liu & Yanjun Ren & Thomas Glauben, 2021. "The effect of income inequality on nutritional outcomes: Evidence from rural China," Journal of New Economy, Ural State University of Economics, vol. 22(3), pages 125-143, October.
    5. Darshan Zala, 2013. "Challenging The Spirit Level: Is There Really a Relationship between Inequality and Obesity?," Economic Affairs, Wiley Blackwell, vol. 33(2), pages 232-245, June.
    6. Lie Ma & Qiu Xie & Shiying Shi & Xiaosu Ye & Aifeng Zhao, 2017. "Regional Maldistribution of China’s Hospitals Based on Their Structural System," Sustainability, MDPI, vol. 9(6), pages 1-18, June.
    7. Bakkeli, Nan Zou, 2016. "Income inequality and health in China: A panel data analysis," Social Science & Medicine, Elsevier, vol. 157(C), pages 39-47.
    8. Chen, Zhuo & Gotway Crawford, Carol A., 2012. "The role of geographic scale in testing the income inequality hypothesis as an explanation of health disparities," Social Science & Medicine, Elsevier, vol. 75(6), pages 1022-1031.
    9. Yeatts, Dale E. & Pei, Xiaomei & Cready, Cynthia M. & Shen, Yuying & Luo, Hao & Tan, Junxin, 2013. "Village characteristics and health of rural Chinese older adults: Examining the CHARLS Pilot Study of a rich and poor province," Social Science & Medicine, Elsevier, vol. 98(C), pages 71-78.
    10. Mowafi, Mona & Khadr, Zeinab & Subramanian, S.V. & Bennett, Gary & Hill, Allan & Kawachi, Ichiro, 2011. "Are neighborhood education levels associated with BMI among adults in Cairo, Egypt?," Social Science & Medicine, Elsevier, vol. 72(8), pages 1274-1283, April.
    11. Sun, Yu & You, Wen, 2016. "Relative-deprivation effects on child health in China," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235926, Agricultural and Applied Economics Association.
    12. Steef Baeten & Tom Van Ourti & Eddy Van Doorslaer, 2012. "Rising Inequalities in Income and Health in China: Who is left behind?," Tinbergen Institute Discussion Papers 12-091/V, Tinbergen Institute.
    13. David G. Blanchflower & Andrew J. Oswald & Bert Van Landeghem, 2009. "Imitative Obesity and Relative Utility," Journal of the European Economic Association, MIT Press, vol. 7(2-3), pages 528-538, 04-05.
    14. David O. Meltzer & Zhuo Chen, 2011. "The Impact of Minimum Wage Rates on Body Weight in the United States," NBER Chapters, in: Economic Aspects of Obesity, pages 17-34, National Bureau of Economic Research, Inc.
    15. Nie, Peng & Sousa-Poza, Alfonso & He, Xiaobo, 2014. "Peer Effects on Childhood and Adolescent Obesity in China," IZA Discussion Papers 8528, Institute of Labor Economics (IZA).
    16. Wang, Ruoxi & Chen, Zhuo & Zhou, Yongjie & Shen, Lining & Zhang, Zhiguo & Wu, Xiang, 2019. "Melancholy or mahjong? Diversity, frequency, type, and rural-urban divide of social participation and depression in middle- and old-aged Chinese: A fixed-effects analysis," Social Science & Medicine, Elsevier, vol. 238(C), pages 1-1.
    17. Salti, Nisreen, 2010. "Relative deprivation and mortality in South Africa," Social Science & Medicine, Elsevier, vol. 70(5), pages 720-728, March.
    18. Hongliang Wang & Yiwen Yu, 2016. "Increasing health inequality in China: An empirical study with ordinal data," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 14(1), pages 41-61, March.

  20. Chen, Zhuo & Song, Shunfeng, 2008. "Efficiency and technology gap in China's agriculture: A regional meta-frontier analysis," China Economic Review, Elsevier, vol. 19(2), pages 287-296, June.

    Cited by:

    1. Fogarasi, Jozsef & Latruffe, Laure, 2009. "Farm performance and support in Central and Western Europe: A comparison of Hungary and France," 2009 Conference, August 16-22, 2009, Beijing, China 51431, International Association of Agricultural Economists.
    2. Yung-Hsiang LU & Ku-Hsieh CHEN & Chun-Cheng WU, 2015. "Cross-country analysis of efficiency and productivity in the biotech industry: an application of the generalized metafrontier Malmquist productivity index," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 61(3), pages 116-134.
    3. Badi H. Baltagi & Peter Egger & Michaela Kesina, 2014. "Sources of Productivity Spillovers: Panel Data Evidence from China," CESifo Working Paper Series 4812, CESifo.
    4. Yaisawarng, Suthathip & Ng, Ying Chu, 2014. "The impact of higher education reform on research performance of Chinese universities," China Economic Review, Elsevier, vol. 31(C), pages 94-105.
    5. Anup Kumar Bhandari & Vipin V, 2018. "Does Export Intensity Affect Firm Performance? Evidence from Basic Metal Industry in India," Working Papers id:12767, eSocialSciences.
    6. Chloé Duvivier, 2013. "Does Urban Proximity Enhance Technical Efficiency? Evidence From Chinese Agriculture," Journal of Regional Science, Wiley Blackwell, vol. 53(5), pages 923-943, December.
    7. David C Broadstock & Jiajia Li & Dayong Zhang, 2015. "Efficiency Snakes and Energy Ladders: A (meta-)frontier demand analysis of electricity consumption efficiency in Chinese households," Surrey Energy Economics Centre (SEEC), School of Economics Discussion Papers (SEEDS) 151, Surrey Energy Economics Centre (SEEC), School of Economics, University of Surrey.
    8. Haonan Zhang & Zheng Chen & Jieyong Wang & Haitao Wang & Yingwen Zhang, 2023. "Spatial-Temporal Pattern of Agricultural Total Factor Productivity Change (Tfpch) in China and Its Implications for Agricultural Sustainable Development," Agriculture, MDPI, vol. 13(3), pages 1-17, March.
    9. Almas Heshmati & Subal C. Kumbhakar, 2010. "Technical Change and Total Factor Productivity Growth: The Case of Chinese Provinces," TEMEP Discussion Papers 201054, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Feb 2010.
    10. Helu Xiao & Na Wang & Shanping Wang, 2023. "Dynamic sustainability assessment of poverty alleviation in China: evidence from both novel non-convex global two-stage DEA and Malmquist productivity index," Operational Research, Springer, vol. 23(2), pages 1-40, June.
    11. Ma, Shuzhong & Feng, Han, 2013. "Will the decline of efficiency in China's agriculture come to an end? An analysis based on opening and convergence," China Economic Review, Elsevier, vol. 27(C), pages 179-190.
    12. Gatti, Nicolas & Lema, Daniel & Brescia, Victor, 2015. "A Meta-Frontier Approach to Measuring Technical Efficiency and Technology Gaps in Beef Cattle Production in Argentina," 2015 Conference, August 9-14, 2015, Milan, Italy 211647, International Association of Agricultural Economists.
    13. Wang, Xiaobing & Hockmann, Heinrich, 2012. "Technical Efficiency Under Producer’S Individual Technology: A Metafrontier Analysis," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126755, International Association of Agricultural Economists.
    14. Farnaz Pourzand & Mohammad Bakhshoodeh, 2014. "Technical effici ency and agricultural sustainability–technology gap of maize producers in Fars province of Iran," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 16(3), pages 671-688, June.
    15. Otieno, David Jakinda & Hubbard, Lionel J. & Ruto, Eric, 2011. "Technical efficiency and technology gaps in beef cattle production systems in Kenya: A stochastic metafrontier analysis," 85th Annual Conference, April 18-20, 2011, Warwick University, Coventry, UK 108947, Agricultural Economics Society.
    16. Vincent Charles & Guillermo Díaz, 2017. "A Non-radial DEA Index for Peruvian Regional Competitiveness," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 134(2), pages 747-770, November.
    17. Yi-Cheng Liu & Ying-Hsiu Chen, 2016. "Which One is More Efficient? German or Japanese Automobile Industry: A Meta-frontier with Technology Gap Comparison," International Business Research, Canadian Center of Science and Education, vol. 9(10), pages 13-24, October.
    18. Latruffe, Laure & Fogarasi, József & Desjeux, Yann, 2012. "Efficiency, productivity and technology comparison for farms in Central and Western Europe: The case of field crop and dairy farming in Hungary and France," Economic Systems, Elsevier, vol. 36(2), pages 264-278.
    19. Baoubadi Atozou & Kotchikpa Lawin & Diombare Niang, 2017. "Impact of Weather Index Insurance on Groundnut Farmers’ Technical Efficient in Senegal: A Propensity Score Matching Approach," Journal of Sustainable Development, Canadian Center of Science and Education, vol. 10(5), pages 131-131, September.
    20. Kristiaan Kerstens & Christopher O’donnell & Ignace van de Woestyne, 2019. "Metatechnology frontier and convexity: A restatement," Post-Print hal-02108502, HAL.
    21. Lim, Jinyang & Nam, Changi & Kim, Seongcheol & Lee, Euehun & Lee, Hongkyu, 2015. "A new regional clustering approach for mobile telecommunications policy in China," Telecommunications Policy, Elsevier, vol. 39(3), pages 296-304.
    22. See, Kok Fong & Rashid, Azwan Abdul & Yu, Ming-Miin, 2024. "Measuring the network capacity utilization, energy consumption and environmental inefficiency of global airlines," Energy Economics, Elsevier, vol. 132(C).
    23. Becerra-Perez, Luis & Lopez-Reyes, Luis, 2017. "Technical efficiency of corn production in Sinaloa, Mexico," Conference papers 332904, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    24. Jianxu Liu & Sanzidur Rahman & Songsak Sriboonchitta & Aree Wiboonpongse, 2017. "Enhancing Productivity and Resource Conservation by Eliminating Inefficiency of Thai Rice Farmers: A Zero Inefficiency Stochastic Frontier Approach," Sustainability, MDPI, vol. 9(5), pages 1-18, May.
    25. Jianxu Liu & Heng Wang & Sanzidur Rahman & Songsak Sriboonchitta, 2021. "Energy Efficiency, Energy Conservation and Determinants in the Agricultural Sector in Emerging Economies," Agriculture, MDPI, vol. 11(8), pages 1-18, August.
    26. Jianxu Liu & Changrui Dong & Shutong Liu & Sanzidur Rahman & Songsak Sriboonchitta, 2020. "Sources of Total-Factor Productivity and Efficiency Changes in China’s Agriculture," Agriculture, MDPI, vol. 10(7), pages 1-18, July.
    27. Du, Kerui & Lu, Huang & Yu, Kun, 2014. "Sources of the potential CO2 emission reduction in China: A nonparametric metafrontier approach," Applied Energy, Elsevier, vol. 115(C), pages 491-501.
    28. Lim, Jinyang & Nam, Changi & Kim, Seongcheol & Rhee, Hongjai & Lee, Euehun & Lee, Hongkyu, 2012. "Forecasting 3G mobile subscription in China: A study based on stochastic frontier analysis and a Bass diffusion model," Telecommunications Policy, Elsevier, vol. 36(10), pages 858-871.
    29. Sombat Singkharat & Aree Wiboonpongse & Yaovarate Chaovanapoonphol, 2012. "Efficiency of improved peeled longan drying technology in Thailand: A metafrontier approach," The Empirical Econometrics and Quantitative Economics Letters, Faculty of Economics, Chiang Mai University, vol. 1(3), pages 19-32, September.
    30. Xiaoling Wang & Feng He & Linfeng Zhang & Lili Chen, 2018. "Energy Efficiency of China’s Iron and Steel Industry from the Perspective of Technology Heterogeneity," Energies, MDPI, vol. 11(5), pages 1-11, May.
    31. Bahta, Sirak & Baker, Derek & Malope, Patrick & Katijuongua, Hikuepi, 2015. "A metafronteir analysis of determinants of technical efficiency in beef farm types: an application to Botswana," 2015 Conference, August 9-14, 2015, Milan, Italy 211194, International Association of Agricultural Economists.
    32. C.J. O'Donnell & S. Fallah-Fini & K, Triantis, 2011. "Comparing Firm Performance Using Transitive Productivity Index Numbers in a Meta-frontier Framework," CEPA Working Papers Series WP082011, School of Economics, University of Queensland, Australia.
    33. Kumar, Surender & Jain, Rakesh Kumar, 2019. "Carbon-sensitive meta-productivity growth and technological gap: An empirical analysis of Indian thermal power sector," Energy Economics, Elsevier, vol. 81(C), pages 104-116.
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  21. Steven T. Yen & Margaret Andrews & Zhuo Chen & David B. Eastwood, 2008. "Food Stamp Program Participation and Food Insecurity: An Instrumental Variables Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(1), pages 117-132.

    Cited by:

    1. Boonsaeng, Tullaya & Carpio, Carlos E. & Zhen, Chen & Okrent, Abigail M., 2012. "The Effect of Supplemental Nutrition Assistance Program on Food Spending Among Low-Income Households," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124839, Agricultural and Applied Economics Association.
    2. Maximilian D. Schmeiser, 2012. "The impact of long‐term participation in the supplemental nutrition assistance program on child obesity," Health Economics, John Wiley & Sons, Ltd., vol. 21(4), pages 386-404, April.
    3. Nord, Mark & Prell, Mark, 2011. "Food Security Improved Following the 2009 ARRA Increase in SNAP Benefits," Economic Research Report 262242, United States Department of Agriculture, Economic Research Service.
    4. Dharmasena, Senarath & Bessler, David A. & Capps, Oral, 2016. "Food environment in the United States as a complex economic system," Food Policy, Elsevier, vol. 61(C), pages 163-175.
    5. Coleman-Jensen, Alisha & Rabbitt, Matthew P. & Gregory, Christian & Singh, Anita, 2015. "Household Food Security in the United States in 2014," Economic Research Report 262204, United States Department of Agriculture, Economic Research Service.
    6. Rabbitt, Matthew P. & Hales, Laura J. & Burke, Michael P. & Coleman-Jensen, Alisha, 2023. "Household Food Security in the United States in 2022," Economic Research Report 338945, United States Department of Agriculture, Economic Research Service.
    7. Sharimakin Akinwumi & Dada James Temitope, 2020. "Access to Finance, Indigenous Technology and Food Security in Nigeria: Case Study of Ondo Central Senatorial District," Economics and Culture, Sciendo, vol. 17(2), pages 75-87, December.
    8. Yingru Li & Dapeng Li & Christian King, 2022. "Food Insufficiency among Job-Loss Households during the Pandemic: The Role of Food Assistance Programs," Sustainability, MDPI, vol. 14(22), pages 1-14, November.
    9. Sylvia E Twersky, 2019. "Restrictive state laws aimed at immigrants: Effects on enrollment in the food stamp program by U.S. citizen children in immigrant families," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-18, May.
    10. Bronchetti, Erin T. & Christensen, Garret & Hoynes, Hilary W., 2019. "Local food prices, SNAP purchasing power, and child health," Journal of Health Economics, Elsevier, vol. 68(C).
    11. Zhang, Jun & Yen, Steven T., 2017. "Supplemental Nutrition Assistance Program and food insecurity among families with children," Journal of Policy Modeling, Elsevier, vol. 39(1), pages 52-64.
    12. Susan Chen & Le Wang, 2021. "SNAP participation, diet quality, and obesity: robust evidence with estimation techniques without external instrumental variables," Empirical Economics, Springer, vol. 61(3), pages 1641-1667, September.
    13. Wang, Julia Shu-Huah & Zhao, Xi & Nam, Jaehyun, 2021. "The effects of welfare participation on parenting stress and parental engagement using an instrumental variables approach: Evidence from the Supplemental Nutrition Assistance Program," Children and Youth Services Review, Elsevier, vol. 121(C).
    14. James Mabli, "undated". "SNAP Participation, Food Security, and Geographic Access to Food," Mathematica Policy Research Reports da75fa3a960c45b08490c8f14, Mathematica Policy Research.
    15. Coleman-Jensen, Alisha & Nord, Mark & Andrews, Margaret S. & Carlson, Steven, 2011. "Household Food Security in the United States in 2010," Economic Research Report 118021, United States Department of Agriculture, Economic Research Service.
    16. Jensen, Helen H. & Kreider, Brent & Zhylyevskyy, Oleksandr, 2019. "Investigating Treatment Effects of Participating Jointly in SNAP and WIC when the Treatment Is Validated Only for SNAP," ISU General Staff Papers 201907010700001069, Iowa State University, Department of Economics.
    17. Burgstahler, Rebecca & Gundersen, Craig & Garasky, Steven, 2012. "The Supplemental Nutrition Assistance Program, Financial Stress, and Childhood Obesity," Agricultural and Resource Economics Review, Cambridge University Press, vol. 41(1), pages 29-42, April.
    18. Ranney, Christine K. & Gomez, Miguel I., 2010. "Food Stamps, Food Insufficiency and Health of the Elderly," Working Papers 126968, Cornell University, Department of Applied Economics and Management.
    19. Charles L. Baum II, 2010. "The Effects of Food Stamps on Obesity," Working Papers 201003, Middle Tennessee State University, Department of Economics and Finance.
    20. Gregory, Christian & Deb, Partha, 2016. "Who Benefits Most from SNAP?," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236648, Agricultural and Applied Economics Association.
    21. Coleman-Jensen, Alisha & Rabbitt, Matthew & Gregory, Christian & Singh, Anita, 2022. "Household Food Security in the United States in 2021," Amber Waves:The Economics of Food, Farming, Natural Resources, and Rural America, United States Department of Agriculture, Economic Research Service, vol. 2022(Economic ), September.
    22. James Mabli, "undated". "SNAP Participation and Urban and Rural Food Security," Mathematica Policy Research Reports 99ba5f92f8434d3084c34a7d9, Mathematica Policy Research.
    23. Awa Diouf & Mouhamadou Fallilou Ndiaye & Cheikh Faye, 2022. "Emergency food aid and household food security during COVID‐19: Evidence from a field survey in Senegal," African Development Review, African Development Bank, vol. 34(4), pages 556-569, December.
    24. Nord, Mark & Coleman-Jensen, Alisha & Andrews, Margaret & Carlson, Steven, 2010. "Household Food Security in the United States, 2009," Economic Research Report 262246, United States Department of Agriculture, Economic Research Service.
    25. Leschewski, Andrea M. & Weatherspoon, Dave D., 2018. "The Supplemental Nutrition Assistance Program: Current Restricted Expenditures," 2018 Annual Meeting, August 5-7, Washington, D.C. 273846, Agricultural and Applied Economics Association.
    26. Mancino, Lisa & Guthrie, Joanne & Ver Ploeg, Michele & Lin, Biing-Hwan, 2018. "Nutritional Quality of Foods Acquired by Americans: Findings From USDA's National Household Food Acquisition and Purchase Survey," Economic Information Bulletin 276248, United States Department of Agriculture, Economic Research Service.
    27. Md. Sadique Rahman & Monoj Kumar Majumder, 2021. "Drivers of adoption and impacts of an eco-friendly agricultural technology in Bangladesh," SN Business & Economics, Springer, vol. 1(12), pages 1-18, December.
    28. Craig Gundersen & David R. Just & Scott W. Allard & Maria V. Wathen & H. Luke Shaefer & Sandra K. Danziger, 2017. "Neighborhood Food Infrastructure and Food Security in Metropolitan Detroit," Journal of Consumer Affairs, Wiley Blackwell, vol. 51(3), pages 566-597, November.
    29. Xu, Licheng, 2020. "Timing of SNAP disbursement and crime rate in the United States," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304248, Agricultural and Applied Economics Association.
    30. Irma Arteaga & Colleen Heflin & Leslie Hodges, 2018. "SNAP Benefits and Pregnancy-Related Emergency Room Visits," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 37(6), pages 1031-1052, December.
    31. Coleman-Jensen, Alisha & Nord, Mark, 2013. "Food Insecurity Among Households With Working-Age Adults With Disabilities," Economic Research Report 142955, United States Department of Agriculture, Economic Research Service.
    32. Philip Gleason & Rebecca Kleinman & Gregory Chojnacki & Sarah Forrestal & Nicholas Redel & Breanna Wakar & Ronette Briefel, "undated". "Evaluation of Demonstration Projects to End Childhood Hunger (EDECH): The Nevada Healthy, Hunger Free Kids Project," Mathematica Policy Research Reports 7a171f0e1b1c484aa5d64ea1e, Mathematica Policy Research.
    33. Kathryn Edin & Melody Boyd & James Mabli & Jim Ohls & Julie Worthington & Sara Greene & Nicholas Redel & Swetha Sridharan, "undated". "SNAP Food Security In-Depth Interview Study," Mathematica Policy Research Reports cad6b24b82bd4318b8459c8ef, Mathematica Policy Research.
    34. Li, Yiran & Mills, Bradford F. & Mykerezi, Elton, 2012. "Food Stamp Program and Food Insecurity Dynamics: Using Intra-Annual Measurements," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124681, Agricultural and Applied Economics Association.
    35. Gao, Xiang & Ishdorj, Ariun & Higgins, Lindsey M., 2012. "Impact of the National School Lunch Program on Children’s Food Security," 2012 Annual Meeting, February 4-7, 2012, Birmingham, Alabama 119778, Southern Agricultural Economics Association.
    36. Rabbitt, Matthew P., 2013. "Measuring the Effect of Supplemental Nutrition Assistance Program Participation on Food Insecurity Using a Behavioral Rasch Selection Model," UNCG Economics Working Papers 13-20, University of North Carolina at Greensboro, Department of Economics.
    37. Burney, Shaheer, 2018. "In-kind benefits and household behavior: The impact of SNAP on food-away-from-home consumption," Food Policy, Elsevier, vol. 75(C), pages 134-146.
    38. Thomas Vartanian & Linda Houser, 2012. "The Effects of Childhood SNAP Use and Neighborhood Conditions on Adult Body Mass Index," Demography, Springer;Population Association of America (PAA), vol. 49(3), pages 1127-1154, August.
    39. Salois, Matthew & Balcombe, Kelvin, 2011. "Do Food Stamps Cause Obesity? A Generalised Bayesian Instrumental Variable Approach in the Presence of Heteroscedasticity," MPRA Paper 28745, University Library of Munich, Germany.
    40. Hong, Youngjin Stephanie & Henly, Julia R., 2020. "Supplemental nutrition assistance program and school readiness skills," Children and Youth Services Review, Elsevier, vol. 114(C).
    41. Swann, Christopher A., 2017. "Household history, SNAP participation, and food insecurity," Food Policy, Elsevier, vol. 73(C), pages 1-9.
    42. Coleman-Jensen, Alisha & Rabbitt, Matthew P & Gregory, Christian A & Singh, Anita, 2020. "Household Food Security in the United States in 2019," Economic Research Report 327207, United States Department of Agriculture, Economic Research Service.
    43. Justine Hastings & Jesse M. Shapiro, 2018. "How Are SNAP Benefits Spent? Evidence from a Retail Panel," American Economic Review, American Economic Association, vol. 108(12), pages 3493-3540, December.
    44. Dharmasena, Senarath & Bessler, David A. & Todd, Jessica, 2016. "Socioeconomic, Demographic and Geographic Factors Affecting Household Food Purchase and Acquisition Decisions in the United States as a Complex Economic System," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235646, Agricultural and Applied Economics Association.
    45. Rebecca L. Som Castellano, 2017. "Receiving Assistance and Local Food System Participation," Social Sciences, MDPI, vol. 6(1), pages 1-14, February.
    46. Yunhee Chang & Swarn Chatterjee & Jinhee Kim, 2014. "Household Finance and Food Insecurity," Journal of Family and Economic Issues, Springer, vol. 35(4), pages 499-515, December.
    47. Bonanno, Alessandro & Ghosh, Gaurav S., 2010. "SNAP Efficacy and Food Access – A Nationwide Spatial Analysis," 115th Joint EAAE/AAEA Seminar, September 15-17, 2010, Freising-Weihenstephan, Germany 116437, European Association of Agricultural Economists.
    48. Mays, Matthew & Smith, Travis A., 2018. "How Does SNAP Participation Affect Rates of Diabetes?," 2018 Annual Meeting, August 5-7, Washington, D.C. 273905, Agricultural and Applied Economics Association.
    49. Udaya R. Wagle, 2012. "The Food Stamps Program and Economic Security Among Low‐Income Families, Part I," Poverty & Public Policy, John Wiley & Sons, vol. 4(4), pages 223-238, December.
    50. Deidda, Manuela & Geue, Claudia & Kreif, Noemi & Dundas, Ruth & McIntosh, Emma, 2019. "A framework for conducting economic evaluations alongside natural experiments," Social Science & Medicine, Elsevier, vol. 220(C), pages 353-361.
    51. Coleman-Jensen, Alisha & Nord, Mark & Singh, Anita, 2013. "Household Food Security in the United States in 2012," Economic Research Report 262219, United States Department of Agriculture, Economic Research Service.
    52. Partha Deb & Christian A. Gregory, 2016. "Who Benefits Most from SNAP? A Study of Food Security and Food Spending," NBER Working Papers 22977, National Bureau of Economic Research, Inc.
    53. Coleman-Jensen, Alisha & Rabbitt, Matthew P & Gregory, Christian A & Singh, Anita, 2021. "Household Food Security in the United States in 2020," Economic Research Report 327186, United States Department of Agriculture, Economic Research Service.
    54. Fayaz Farkhad, Bita & Meyerhoefer, Chad D., 2018. "The Impact of Participation in SNAP on Labor Force Decisions," 2018 Annual Meeting, August 5-7, Washington, D.C. 274180, Agricultural and Applied Economics Association.
    55. Rabbitt, Matthew P. & Reed-Jones, Madeline & Hales, Laura J. & Burke, Michael P., 2024. "Household Food Security in the United States in 2023," Economic Research Report 344963, United States Department of Agriculture, Economic Research Service.
    56. Michael F. Royer, 2024. "The Folly of Food Waste amidst Food Insecurity in the United States: A Literature Review," Challenges, MDPI, vol. 15(2), pages 1-17, April.
    57. Burney, Shaheer & Boehm, Rebecca & Lopez, Rigoberto, 2021. "The impact of the ACA Medicaid expansion on SNAP participation," Food Policy, Elsevier, vol. 101(C).
    58. Jun Zhang & Yanghao Wang & Steven T. Yen, 2021. "Does Supplemental Nutrition Assistance Program Reduce Food Insecurity among Households with Children? Evidence from the Current Population Survey," IJERPH, MDPI, vol. 18(6), pages 1-15, March.
    59. Wilson, Norbert L. W. & Zheng, Yuqing & Burney, Shaheer & Kaiser, Harry, 2017. "Do Grocery (Food Sales) Taxes Cause Food Insecurity?," Working Paper series 290135, University of Connecticut, Charles J. Zwick Center for Food and Resource Policy.
    60. Nikolla, Dorina & Mills, Bradford F. & Murray, Anthony G. & Tuttle, Charlotte, 2017. "Heat and Eat: The Impact of the Low Income Home Energy Assistance Program on Household Supplemental Nutrition Assistance Program Participation," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258116, Agricultural and Applied Economics Association.
    61. Jordan W. Jones & Charles J. Courtemanche & Augustine Denteh & James Marton & Rusty Tchernis, 2021. "Do State SNAP Policies Influence Program Participation among Seniors?," NBER Working Papers 29037, National Bureau of Economic Research, Inc.
    62. Qi Zhang & Zhuo Chen & Norou Diawara & Youfa Wang, 2011. "Prices of Unhealthy Foods, Food Stamp Program Participation, and Body Weight Status Among U.S. Low-Income Women," Journal of Family and Economic Issues, Springer, vol. 32(2), pages 245-256, June.
    63. James Mabli & Jim Ohls & Lisa Dragoset & Laura Castner & Betsy Santos, "undated". "Measuring the Effect of Supplemental Nutrition Assistance Program (SNAP) Participation on Food Security," Mathematica Policy Research Reports 69d901432c7a46779666a240a, Mathematica Policy Research.
    64. Mabli, James & Ohls, Jim & Dragoset, Lisa & Castner, Laura & Santos, Betsy, 2013. "Measuring the Effect of Supplemental Nutrition Assistance Program (SNAP) Participation on Food Security," USDA Miscellaneous 339046, United States Department of Agriculture.
    65. Burney, Shaheer & Boehm, Rebecca L. & Lopez, Rigoberto A., 2018. "Impact of the 2014 Medicaid Expansion on SNAP Participation," 2018 Annual Meeting, August 5-7, Washington, D.C. 273847, Agricultural and Applied Economics Association.
    66. Manrrubio Muñoz-Rodríguez & Claudia Fernández-González & Norman Aguilar-Gallegos & María Virginia González-Santiago, 2020. "The Primacy of Politics in Public Food Security Policies: The Case of Home Gardens," Sustainability, MDPI, vol. 12(10), pages 1-21, May.
    67. Seungyeon Cho, 2022. "The Effect of Participation in the Supplemental Nutrition Assistance Program on Food Insecurity of Children in U.S. Immigrant Households," Journal of Family and Economic Issues, Springer, vol. 43(3), pages 501-510, September.
    68. Yen, Steven T., 2010. "The effects of SNAP and WIC programs on nutrient intakes of children," Food Policy, Elsevier, vol. 35(6), pages 576-583, December.
    69. Gregory, Christian & Deb, Partha, 2014. "Does SNAP Improve Your Health?," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 171236, Agricultural and Applied Economics Association.
    70. Coleman-Jensen, Alisha & Rabbitt, Matthew P. & Gregory, Christian A. & Singh, Anita, 2016. "Household Food Security in the United States in 2015," Economic Research Report 262191, United States Department of Agriculture, Economic Research Service.
    71. Coleman-Jensen, Alisha & Gregory, Christian & Singh, Anita, 2014. "Household Food Security in the United States in 2013," Economic Research Report 183589, United States Department of Agriculture, Economic Research Service.
    72. Jung Sun Lee & Vibha Bhargava & Travis A. Smith & Temitope Aiyejorun Walker, 2022. "The effects of aging services and the supplemental nutrition assistance program on food insecurity among older Georgians: 2018–2020," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 44(2), pages 635-652, June.
    73. Carpio, Carlos E. & Boonsaeng, Tullaya & Chen, Zhen & Okrent, Abigail, 2014. "The Effect of Supplemental Nutrition Assistance Program on Food and Nonfood Spending Among Low-Income Households," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170650, Agricultural and Applied Economics Association.
    74. Jinglin Feng & Linlin Fan & Edward C. Jaenicke, 2024. "The distributional impact of SNAP on dietary quality," Agricultural Economics, International Association of Agricultural Economists, vol. 55(1), pages 104-139, January.
    75. Coleman-Jensen, Alisha & Nord, Mark & Andrews, Margaret S. & Carlson, Steven, 2011. "Household Food Security in the United States in 2011," Economic Research Report 134715, United States Department of Agriculture, Economic Research Service.
    76. Anthony G. Murray & Bradford F. Mills, 2014. "The Impact Of Low-Income Home Energy Assistance Program Participation On Household Energy Insecurity," Contemporary Economic Policy, Western Economic Association International, vol. 32(4), pages 811-825, October.
    77. Andrea Sales S. De A. Melo, 2018. "The ?Bolsa-Família? Program And The Food Insecurity In Brazilian Household Between 2009 And 2013," Anais do XLIV Encontro Nacional de Economia [Proceedings of the 44th Brazilian Economics Meeting] 72, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    78. Cunguara, Benedito & Darnhofer, Ika, 2011. "Assessing the impact of improved agricultural technologies on household income in rural Mozambique," Food Policy, Elsevier, vol. 36(3), pages 378-390, June.
    79. Nord, Mark & Golla, Anne Marie, 2009. "Does SNAP Decrease Food Insecurity? Untangling the Self-Selection Effect," Economic Research Report 55955, United States Department of Agriculture, Economic Research Service.
    80. Andrew Gothro & Gregory Chojnacki & Rebecca Kleinman & Philip Gleason & Nicholas Redel & Breanna Wakar & Sarah Forrestal & Ronette Briefel, "undated". "Evaluation of Demonstration Projects to End Childhood Hunger (EDECH): The Kentucky Ticket to Healthy Food Project," Mathematica Policy Research Reports d701a5e62bfb4b6a89e7bf6bd, Mathematica Policy Research.
    81. Steven T. Yen & Donald J. Bruce & Lisa Jahns, 2012. "Supplemental Nutrition Assistance Program Participation And Health: Evidence From Low‐Income Individuals In Tennessee," Contemporary Economic Policy, Western Economic Association International, vol. 30(1), pages 1-12, January.
    82. Christensen, Garret & Bronchetti, Erin Todd, 2020. "Local food prices and the purchasing power of SNAP benefits," Food Policy, Elsevier, vol. 95(C).
    83. Gregory, Christian A. & Ver Ploeg, Michele & Andrews, Margaret S. & Coleman-Jensen, Alisha, 2012. "SNAP and Diet Quality: An Instrumental Variables Approach," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124757, Agricultural and Applied Economics Association.
    84. Jordan W. Jones & Charles Courtemanche & Augustine Denteh & James Marton & Rusty Tchernis, 2022. "Do state Supplemental Nutrition Assistance Program policies influence program participation among seniors?," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 44(2), pages 591-608, June.
    85. Ana McCormick Myers & Matthew A. Painter, 2017. "Food insecurity in the United States of America: an examination of race/ethnicity and nativity," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 9(6), pages 1419-1432, December.
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  22. Seong‐Hoon Cho & Zhuo Chen & Steven T. Yen & Burton C. English, 2007. "Spatial variation of output‐input elasticities: Evidence from Chinese county‐level agricultural production data," Papers in Regional Science, Wiley Blackwell, vol. 86(1), pages 139-157, March.

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    1. Chloé Duvivier, 2013. "Does Urban Proximity Enhance Technical Efficiency? Evidence From Chinese Agriculture," Journal of Regional Science, Wiley Blackwell, vol. 53(5), pages 923-943, December.
    2. Mamiit, Rusyan Jill & Yanagida, John & Villanueva, Donald, 2020. "Farm locations and dwelling clusters: Do they make production and technical efficiency spatially contagious?," Food Policy, Elsevier, vol. 92(C).
    3. Ito, Junichi, 2010. "Inter-regional difference of agricultural productivity in China: Distinction between biochemical and machinery technology," China Economic Review, Elsevier, vol. 21(3), pages 394-410, September.
    4. Tun-Hsiang “Edward” Yu & Seong-Hoon Cho & Ahmet Ali Koç & Gülden Bölük & Seung Gyu Kim & Dayton M. Lambert, 2014. "Evaluating spatial and temporal variation in agricultural output elasticities in Turkey," Agricultural Economics, International Association of Agricultural Economists, vol. 45(3), pages 279-290, May.
    5. Носов В.В. & Цыпин А.П., 2015. "Эконометрическое Моделирование Цены Однокомнатной Квартиры Методом Географически Взвешенной Регрессии," Izvestiya of Saratov University. New Series. Series: Economics. Management. Law Известия Саратовского университета. Новая серия. Серия Экономика. Управление. Право, CyberLeninka;Федеральное государственное бюджетное образовательное учреждение высшего образования «Саратовский национальный исследовательский государственный университет имени Н. Г. Чернышевского», vol. 15(4), pages 381-387.
    6. Murakami, Tomoaki & Nakajima, Shinsaku & Takahashi, Taro & Nishihara, Yukinaga & Imai, Asako & Kikushima, Ryousuke & Sato, Takeshi, 2014. "Spatially Varying Impacts of Farmers Markets on Agricultural Land Use," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170668, Agricultural and Applied Economics Association.
    7. Elżbieta Antczak, 2021. "Analyzing Spatiotemporal Development of Organic Farming in Poland," Sustainability, MDPI, vol. 13(18), pages 1-18, September.

  23. Zhuo Chen & Steven Yen & David Eastwood, 2007. "Does smoking have a causal effect on weight reduction?," Journal of Family and Economic Issues, Springer, vol. 28(1), pages 49-67, March.

    Cited by:

    1. Grégory Ponthière, 2011. "Mortality, Family and Lifestyles," PSE-Ecole d'économie de Paris (Postprint) halshs-00754537, HAL.
    2. Duffy, Patricia A. & Zizza, Claire A. & Zhu, Min & Kinnucan, Henry W. & Tayie, Francis A., 2008. "Food Insecurity, Diet Quality, and Body Weight: Inter-Relationships and the Effect of Smoking and Alcohol Consumption," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6155, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. Seong-Hoon Cho & Dayton Lambert & Hyun Kim & Seung Kim, 2009. "Overweight Korean Adolescents and Academic Achievement," Journal of Family and Economic Issues, Springer, vol. 30(2), pages 126-136, June.
    4. Zhuo Chen & Qi Zhang, 2011. "Nutrigenomics Hypothesis: Examining the Association Between Food Stamp Program Participation and Bodyweight Among Low-Income Women," Journal of Family and Economic Issues, Springer, vol. 32(3), pages 508-520, September.
    5. Chung-Ping Loh & Chin-Shyan Chen & Tsai-Ching Liu, 2009. "Multiple Dimensions of Cigarette Smoking and Responsiveness to Cigarette Price Changes in Taiwan," Journal of Family and Economic Issues, Springer, vol. 30(2), pages 203-213, June.
    6. William Nilsson, 2008. "Spousal Income and Sick Leave: What do Twins Tell us About Causality?," Journal of Family and Economic Issues, Springer, vol. 29(3), pages 407-426, September.
    7. Suwen Pan & Cheng Fang & Roderick Rejesus, 2009. "Food Calorie Intake under Grain Price Uncertainty in Rural Nepal," Journal of Family and Economic Issues, Springer, vol. 30(2), pages 137-148, June.
    8. Adrianna Bella & Teguh Dartanto & Dimitri Swasthika Nurshadrina & Gita Kusnadi & Faizal Rahmanto Moeis & Renny Nurhasana & Aryana Satrya & Hasbullah Thabrany, 2023. "Do parental Smoking Behaviors Affect Children's Thinness, Stunting, and Overweight Status in Indonesia? Evidence from a Large-Scale Longitudinal Survey," Journal of Family and Economic Issues, Springer, vol. 44(3), pages 714-726, September.

  24. Chen, Zhuo & Eastwood, David B. & Yen, Steven T., 2007. "A decade's story of childhood malnutrition inequality in China: Where you live does matter," China Economic Review, Elsevier, vol. 18(2), pages 139-154.

    Cited by:

    1. Veruska Oppedisano & Gilberto Turati, 2011. "What are the causes of educational inequalities and of their evolution over time in Europe? Evidence from Pisa," Working Papers 2011/1, Institut d'Economia de Barcelona (IEB).
    2. Charles KENNY, 2008. "What's Not Converging? East Asia's Relative Performance in Income, Health, and Education," Asian Economic Policy Review, Japan Center for Economic Research, vol. 3(1), pages 19-37, June.
    3. Wang, Haining & Cheng, Zhiming, 2022. "Kids eat free: School feeding and family spending on education," Journal of Economic Behavior & Organization, Elsevier, vol. 193(C), pages 196-212.
    4. Hannum, Emily & Hu, Li-Chung, 2017. "Chronic undernutrition, short-term hunger, and student functioning in rural northwest China," International Journal of Educational Development, Elsevier, vol. 54(C), pages 26-38.
    5. Fafa Yan & Alec Zuo & Wen’e Qi & Zhimin Zhou, 2023. "The Effect of Ecological Management on Regional Health Inequality," IJERPH, MDPI, vol. 20(4), pages 1-22, February.
    6. Yongqing Dong & Quheng Deng & Shaoping Li, 2022. "The Health Inequality of Children in China: A Regression-Based Decomposition Analysis," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 15(1), pages 137-159, February.
    7. Xiao Luo & Chor-Ching Goh & Nong Zhu, 2014. "Income Growth, Inequality and Poverty Reduction: A Case Study of Eight Provinces in China," CIRANO Working Papers 2014s-03, CIRANO.
    8. Steef Baeten & Tom Van Ourti & Eddy Van Doorslaer, 2012. "Rising Inequalities in Income and Health in China: Who is left behind?," Tinbergen Institute Discussion Papers 12-091/V, Tinbergen Institute.
    9. Chen, Zhuo & Roy, Kakoli, 2009. "Calculating concentration index with repetitive values of indicators of economic welfare," Journal of Health Economics, Elsevier, vol. 28(1), pages 169-175, January.
    10. Wu, Yichao & Guo, Zhenli, 2020. "An analysis of the nutritional status of left-behind children in rural China and the impact mechanisms of child malnutrition," Children and Youth Services Review, Elsevier, vol. 119(C).
    11. Yuli Ye & Qinying He & Qiang Li & Lian An, 2024. "The brother's penalty: Boy preference and girls' health in rural China," Health Economics, John Wiley & Sons, Ltd., vol. 33(8), pages 1748-1771, August.
    12. Veruska Oppedisano & Gilberto Turati, 2015. "What are the causes of educational inequality and of its evolution over time in Europe? Evidence from PISA," Education Economics, Taylor & Francis Journals, vol. 23(1), pages 3-24, February.
    13. Lauri Peterson, 2014. "The Measurement of Non-economic Inequality in Well-Being Indices," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 119(2), pages 581-598, November.
    14. Siwei Guo & Zhaopeng Qu & Weizeng Sun & Ming‐ang Zhang, 2024. "Special economic zone and infant mortality: Evidence from China," Health Economics, John Wiley & Sons, Ltd., vol. 33(8), pages 1660-1681, August.
    15. Wu, Yichao, 2019. "What is known about children's undernutrition and health levels in China – An empirical analysis from 1991 to 2009," Children and Youth Services Review, Elsevier, vol. 96(C), pages 372-380.

  25. Chen, Zhuo, 2007. "Development and inequality: Evidence from an endogenous switching regression without regime separation," Economics Letters, Elsevier, vol. 96(2), pages 269-274, August.

    Cited by:

    1. Stephen Dobson & Carlyn Ramlogan, 2008. "Is there an openness Kuznets curve? Evidence from Latin America," NBS Discussion Papers in Economics 2008/10, Economics, Nottingham Business School, Nottingham Trent University.
    2. M. Mesut Badur & Md. Monirul Islam & Kazi Sohag, 2023. "Globalization–Income Inequality Nexus in the Post-Soviet Countries: Analysis of Heterogeneous Dataset Using the Quantiles via Moments Approach," Mathematics, MDPI, vol. 11(7), pages 1-29, March.
    3. Gravina, Antonio Francesco & Lanzafame, Matteo, 2021. "Finance, globalisation, technology and inequality: Do nonlinearities matter?," Economic Modelling, Elsevier, vol. 96(C), pages 96-110.

  26. Chen Zhuo & Yang Yuhong, 2007. "Time Series Models for Forecasting: Testing or Combining?," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 11(1), pages 1-37, March.

    Cited by:

    1. Wei, Xiaoqiao & Yang, Yuhong, 2012. "Robust forecast combinations," Journal of Econometrics, Elsevier, vol. 166(2), pages 224-236.
    2. Dimitrios I. Vortelinos & Konstantinos Gkillas, 2018. "Intraday realised volatility forecasting and announcements," International Journal of Banking, Accounting and Finance, Inderscience Enterprises Ltd, vol. 9(1), pages 88-118.
    3. Cheng, Gang & Yang, Yuhong, 2015. "Forecast combination with outlier protection," International Journal of Forecasting, Elsevier, vol. 31(2), pages 223-237.
    4. Avci, Ezgi & Ketter, Wolfgang & van Heck, Eric, 2018. "Managing electricity price modeling risk via ensemble forecasting: The case of Turkey," Energy Policy, Elsevier, vol. 123(C), pages 390-403.
    5. Bordignon, Silvano & Bunn, Derek W. & Lisi, Francesco & Nan, Fany, 2013. "Combining day-ahead forecasts for British electricity prices," Energy Economics, Elsevier, vol. 35(C), pages 88-103.
    6. Sanchez, Ismael, 2006. "Short-term prediction of wind energy production," International Journal of Forecasting, Elsevier, vol. 22(1), pages 43-56.

  27. Zhuo Chen & Steven T. Yen, 2006. "Better Technology, Better Plots, or Better Farmers? Identifying Changes in Productivity and Risk among Malagasy Rice Farms: A Comment," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(3), pages 763-766.

    Cited by:

    1. Berkhout, Ezra & Glover, Dominic & Kuyvenhoven, Arie, 2015. "On-farm impact of the System of Rice Intensification (SRI): Evidence and knowledge gaps," Agricultural Systems, Elsevier, vol. 132(C), pages 157-166.
    2. Riera, Olivia & Swinnen, Jo, 2015. "Household level spillover effects from biofuels: Evidence from Ethiopia," 2015 Conference, August 9-14, 2015, Milan, Italy 212291, International Association of Agricultural Economists.
    3. Riera, Olivia & Swinnen, Johan, 2016. "Household level spillover effects from biofuels: Evidence from castor in Ethiopia," Food Policy, Elsevier, vol. 59(C), pages 55-65.
    4. Bart Minten & Lalaina Randrianarison & Johan Swinnen, 2007. "Spillovers from high‐value agriculture for exports on land use in developing countries: evidence from Madagascar," Agricultural Economics, International Association of Agricultural Economists, vol. 37(2‐3), pages 265-275, September.

  28. Cho, Seong-Hoon & Chen, Zhuo & Yen, Steven T. & Eastwood, David B., 2006. "Estimating Effects of an Urban Growth Boundary on Land Development," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 38(2), pages 1-12, August.

    Cited by:

    1. Kim, Seung Gyu & Cho, Seong-Hoon & Classen, Roger, 2012. "Exploring Spatially Heterogeneous Effect of Property Tax Scheme on Land Development," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124709, Agricultural and Applied Economics Association.
    2. Dempsey, Judith A. & Plantinga, Andrew J., 2013. "How well do urban growth boundaries contain development? Results for Oregon using a difference-in-difference estimator," Regional Science and Urban Economics, Elsevier, vol. 43(6), pages 996-1007.
    3. Tan, Ronghui & Liu, Pengcheng & Zhou, Kehao & He, Qingsong, 2022. "Evaluating the effectiveness of development-limiting boundary control policy: Spatial difference-in-difference analysis," Land Use Policy, Elsevier, vol. 120(C).
    4. Jae Hong Kim, 2013. "Measuring the Containment and Spillover Effects of Urban Growth Boundaries: The Case of the Portland Metropolitan Area," Growth and Change, Wiley Blackwell, vol. 44(4), pages 650-675, December.
    5. Yuya Sasaki & Arthur Caplan, 2008. "Matching Heterogeneous Traders in Quantity-Regulated Markets," Computational Economics, Springer;Society for Computational Economics, vol. 31(4), pages 341-362, May.
    6. Newburn, David A. & Berck, Peter, 2011. "Growth Management Policies for Exurban and Suburban Development: Theory and an Application to Sonoma County, California," Agricultural and Resource Economics Review, Cambridge University Press, vol. 40(3), pages 375-392, December.
    7. Wentao Niu & Ting Nie & Xiao Chen & Tianxi Wang & Jingyi Shi & Zhenzhen Xu & Hexiong Zhang, 2022. "Understanding the Corrective Effect of the Urban Growth Boundary Policy on Land Finance Dependence of Local Governments in China," IJERPH, MDPI, vol. 19(8), pages 1-31, April.
    8. Kehao Zhou & Ronghui Tan, 2022. "More Than Thirty Years of Environmentally Sensitive Area Loss in Wuhan: What Lessons Have We Learned from Urban Containment Policy?," Land, MDPI, vol. 11(8), pages 1-20, August.
    9. Jiaojiao Luo & Wei Wang & Yuzhe Wu & Yi Peng & Linlin Zhang, 2021. "Analysis of an Urban Development Boundary Policy in China Based on the IAD Framework," Land, MDPI, vol. 10(8), pages 1-17, August.
    10. Jun Ren & Wei Zhou & Xuelu Liu & Liang Zhou & Jing Guo & Yonghao Wang & Yanjun Guan & Jingtian Mao & Yuhan Huang & Rongrong Ma, 2019. "Urban Expansion and Growth Boundaries in an Oasis City in an Arid Region: A Case Study of Jiayuguan City, China," Sustainability, MDPI, vol. 12(1), pages 1-21, December.
    11. Tan, Ronghui & Xu, Shuxian, 2023. "Urban growth boundary and subway development: A theoretical model for estimating their joint effect on urban land price," Land Use Policy, Elsevier, vol. 129(C).
    12. Haoying Han & Chen Huang & Kun-Hyuck Ahn & Xianfan Shu & Liyun Lin & Derong Qiu, 2017. "The Effects of Greenbelt Policies on Land Development: Evidence from the Deregulation of the Greenbelt in the Seoul Metropolitan Area," Sustainability, MDPI, vol. 9(7), pages 1-17, July.
    13. Marin V. Geshkov & Joseph S. DeSalvo, 2012. "The Effect Of Land-Use Controls On The Spatial Size Of U.S. Urbanized Areas," Journal of Regional Science, Wiley Blackwell, vol. 52(4), pages 648-675, October.
    14. Callum Logan, 2013. "Valuing the Risk of Imperfect Information: Christchurch Earthquake," ERES eres2013_32, European Real Estate Society (ERES).

  29. Zhuo Chen & Steven Yen, 2005. "On bias correction in the multivariate sample-selection model," Applied Economics, Taylor & Francis Journals, vol. 37(21), pages 2459-2468.

    Cited by:

    1. Tauchmann, Harald, 2006. "A Note on Consistency of Heckman-type two-step Estimators for the Multivariate Sample-Selection Model," RWI Discussion Papers 40, RWI - Leibniz-Institut für Wirtschaftsforschung.
    2. Renner, Sebastian & Lay, Jann & Schleicher, Michael, 2017. "The Effects of Energy Price Changes: Heterogeneous Welfare Impacts, Energy Poverty, and CO2 Emissions in Indonesia," GIGA Working Papers 302, GIGA German Institute of Global and Area Studies.
    3. Harald Tauchmann, 2010. "Consistency of Heckman-type two-step estimators for the multivariate sample-selection model," Applied Economics, Taylor & Francis Journals, vol. 42(30), pages 3895-3902.
    4. Thiele Silke, 2010. "Erhöhung der Mehrwertsteuer für Lebensmittel: Budget- und Wohlfahrtseffekte für Konsumenten / Increase of the Value Added Tax (VAT): Budget- and Welfare- Effects for Consumers," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 230(1), pages 115-130, February.

  30. Zhuo Chen & Steven T. Yen & David B. Eastwood, 2005. "Effects of Food Stamp Participation on Body Weight and Obesity," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(5), pages 1167-1173.

    Cited by:

    1. Lorenzo Almada & Ian McCarthy & Rusty Tchernis, 2016. "What Can We Learn about the Effects of Food Stamps on Obesity in the Presence of Misreporting?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 98(4), pages 997-1017.
    2. Charles J. Courtemanche & Joshua C. Pinkston & Christopher J. Ruhm & George L. Wehby, 2016. "Can Changing Economic Factors Explain the Rise in Obesity?," Southern Economic Journal, John Wiley & Sons, vol. 82(4), pages 1266-1310, April.
    3. Chad D. Meyerhoefer & Muzhe Yang, 2011. "The Relationship between Food Assistance and Health: A Review of the Literature and Empirical Strategies for Identifying Program Effects," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 33(3), pages 304-344.
    4. Kaushal, N., 2007. "Do food stamps cause obesity?: Evidence from immigrant experience," Journal of Health Economics, Elsevier, vol. 26(5), pages 968-991, September.
    5. Maximilian D. Schmeiser, 2012. "The impact of long‐term participation in the supplemental nutrition assistance program on child obesity," Health Economics, John Wiley & Sons, Ltd., vol. 21(4), pages 386-404, April.
    6. Matthew J. Salois & Kelvin G. Balcombe, 2015. "A Generalized Bayesian Instrumental Variable Approach under Student t-distributed Errors with Application," Manchester School, University of Manchester, vol. 83(5), pages 499-522, September.
    7. Charles L. Baum & Shin-Yi Chou, 2011. "The Socio-Economic Causes of Obesity," NBER Working Papers 17423, National Bureau of Economic Research, Inc.
    8. East, Chloe N. & Friedson, Andrew I., 2018. "An Apple a Day? Adult Food Stamp Eligibility and Health Care Utilization Among Immigrants," IZA Discussion Papers 11445, Institute of Labor Economics (IZA).
    9. Zagorsky, Jay L. & Smith, Patricia K., 2009. "Does the U.S. Food Stamp Program contribute to adult weight gain?," Economics & Human Biology, Elsevier, vol. 7(2), pages 246-258, July.
    10. Susan Chen & Le Wang, 2021. "SNAP participation, diet quality, and obesity: robust evidence with estimation techniques without external instrumental variables," Empirical Economics, Springer, vol. 61(3), pages 1641-1667, September.
    11. Wen You & Paul D. Mitchell & Rodolfo M. Nayga, 2012. "Improving Food Choices Among Supplemental Nutrition Assistance Program Recipients," Health Economics, John Wiley & Sons, Ltd., vol. 21(7), pages 852-864, July.
    12. Pofahl, Geoffrey M. & Richards, Timothy J. & Tonsor, Glynn T., 2009. "Valuation of New Products in the Face of Consumer Income Disparity," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49571, Agricultural and Applied Economics Association.
    13. Zhuo Chen & Steven Yen & David Eastwood, 2007. "Does smoking have a causal effect on weight reduction?," Journal of Family and Economic Issues, Springer, vol. 28(1), pages 49-67, March.
    14. Zeng, Di & Thomsen, Michael R. & Nayga, Rodolfo M. Jr., 2015. "Food Desert and Weight Outcome: Disentangling Confounding Mechanisms," 2016 Allied Social Sciences Association (ASSA) Annual Meeting, January 3-5, 2016, San Francisco, California 212813, Agricultural and Applied Economics Association.
    15. Lee, Ji Yong & Nayga Jr, Rodolfo M. & Jo, Young & Restrepo, Brandon J., 2022. "Time use and eating patterns of SNAP participants over the benefit month," Food Policy, Elsevier, vol. 106(C).
    16. Ikeda, Shinsuke & Kang, Myong-Il & Ohtake, Fumio, 2010. "Hyperbolic discounting, the sign effect, and the body mass index," Journal of Health Economics, Elsevier, vol. 29(2), pages 268-284, March.
    17. Clare Y. Cho & Jill K. Clark, 2020. "Disparities in Access to Supplemental Nutrition Assistance Program Retailers Over Time and Space," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 39(1), pages 99-118, February.
    18. Meyerhoefer, Chad D. & Pylypchuk, Vuriy, 2008. "AJAE Appendix: Does Participation in the Food Stamp Program Increase the Prevalence of Obesity and Health Care Spending?," American Journal of Agricultural Economics APPENDICES, Agricultural and Applied Economics Association, vol. 90(2), pages 1-6.
    19. Charles L. Baum & Shin-Yi Chou, 2016. "Why has the prevalence of obesity doubled?," Review of Economics of the Household, Springer, vol. 14(2), pages 251-267, June.
    20. Zhuo Chen & Qi Zhang, 2011. "Nutrigenomics Hypothesis: Examining the Association Between Food Stamp Program Participation and Bodyweight Among Low-Income Women," Journal of Family and Economic Issues, Springer, vol. 32(3), pages 508-520, September.
    21. Huang, Ying, 2012. "an econometric study of the impact of economic variables on adult obesity and food assistance program participation in the NLSY panel," ISU General Staff Papers 201201010800003717, Iowa State University, Department of Economics.
    22. Binkley, James K., 2010. "Low Income And Poor Health Choices: The Example Of Smoking," Working papers 58419, Purdue University, Department of Agricultural Economics.
    23. de Mouzon, Olivier & Requillart, Vincent & Soler, Louis-Georges & Dallongeville, Jean & Dauchet, Luc, 2010. "Are Fruit And Vegetable Stamp Policies Cost-Effective?," 115th Joint EAAE/AAEA Seminar, September 15-17, 2010, Freising-Weihenstephan, Germany 116416, European Association of Agricultural Economists.
    24. Ver Ploeg, Michele & Mancino, Lisa & Lin, Biing-Hwan & Wang, Chia-Yih, 2007. "The vanishing weight gap: Trends in obesity among adult food stamp participants (US) (1976-2002)," Economics & Human Biology, Elsevier, vol. 5(1), pages 20-36, March.
    25. Burney, Shaheer, 2018. "In-kind benefits and household behavior: The impact of SNAP on food-away-from-home consumption," Food Policy, Elsevier, vol. 75(C), pages 134-146.
    26. Krishna, Vijesh V. & Euler, Michael & Siregar, Hermanto & Fathoni, Zakky & Qaim, Matin, 2015. "Farmer heterogeneity and differential livelihood impacts of oil palm expansion among smallholders in Sumatra, Indonesia," EFForTS Discussion Paper Series 13, University of Goettingen, Collaborative Research Centre 990 "EFForTS, Ecological and Socioeconomic Functions of Tropical Lowland Rainforest Transformation Systems (Sumatra, Indonesia)".
    27. Just, David R. & Gabrielyan, Gnel, 2018. "Influencing the food choices of SNAP consumers: Lessons from economics, psychology and marketing," Food Policy, Elsevier, vol. 79(C), pages 309-317.
    28. Thomas Vartanian & Linda Houser, 2012. "The Effects of Childhood SNAP Use and Neighborhood Conditions on Adult Body Mass Index," Demography, Springer;Population Association of America (PAA), vol. 49(3), pages 1127-1154, August.
    29. Salois, Matthew & Balcombe, Kelvin, 2011. "Do Food Stamps Cause Obesity? A Generalised Bayesian Instrumental Variable Approach in the Presence of Heteroscedasticity," MPRA Paper 28745, University Library of Munich, Germany.
    30. Vassilopoulos, Achilleas & Drichoutis, Andreas & Nayga, Rodolfo & Lazaridis, Panagiotis, 2011. "Does the Food Stamp Program Really Increase Obesity? The Importance of Accounting for Misclassification Errors," MPRA Paper 28768, University Library of Munich, Germany.
    31. Charles Baum, 2012. "The effects of food stamp receipt on weight gained by expectant mothers," Journal of Population Economics, Springer;European Society for Population Economics, vol. 25(4), pages 1307-1340, October.
    32. MacEwan, Joanna P. & Smith, Aaron & Alston, Julian M., 2016. "The Supplemental Nutrition Assistance Program, energy balance, and weight gain," Food Policy, Elsevier, vol. 61(C), pages 103-120.
    33. Roy, Manan & Millimet, Daniel L. & Tchernis, Rusty, 2010. "Federal Nutrition Programs and Childhood Obesity: Inside the Black Box," IZA Discussion Papers 5316, Institute of Labor Economics (IZA).
    34. Chien‐Yu Lai & John A List & Anya Samek, 2020. "Got Milk? Using Nudges to Reduce Consumption of Added Sugar," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(1), pages 154-168, January.
    35. Mays, Matthew & Smith, Travis A., 2018. "How Does SNAP Participation Affect Rates of Diabetes?," 2018 Annual Meeting, August 5-7, Washington, D.C. 273905, Agricultural and Applied Economics Association.
    36. Adiqa Kausar Kiani & Asif Sardar & Wasim Ullah Khan & Yigang He & Abdulbaki Bilgic & Yasemin Kuslu & Muhammad Asif Zahoor Raja, 2021. "Role of Agricultural Diversification in Improving Resilience to Climate Change: An Empirical Analysis with Gaussian Paradigm," Sustainability, MDPI, vol. 13(17), pages 1-15, August.
    37. Karen S Hamrick & Margaret Andrews, 2016. "SNAP Participants’ Eating Patterns over the Benefit Month: A Time Use Perspective," PLOS ONE, Public Library of Science, vol. 11(7), pages 1-18, July.
    38. Chen, Susan E. & Liu, Jing & Binkley, James K., 2012. "An Exploration of the Relationship Between Income and Eating Behavior," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 41(1), pages 1-10, April.
    39. Anoshua Chaudhuri, 2021. "Health Research in JFEI Over a Decade: 2009–2019," Journal of Family and Economic Issues, Springer, vol. 42(1), pages 142-153, July.
    40. Alston, Julian M. & Sumner, Daniel A. & Vosti, Stephen A., 2008. "Farm subsidies and obesity in the United States: National evidence and international comparisons," Food Policy, Elsevier, vol. 33(6), pages 470-479, December.
    41. Han, Euna & Powell, Lisa M. & Pugach, Oksana, 2011. "The heterogenous relationship of food stamp participation with body mass: Quantile regression model," Food Policy, Elsevier, vol. 36(4), pages 499-506, August.
    42. Charles L. Baum II, 2010. "The Effects of Food Stamps on Weight Gained by Expectant Mothers," Working Papers 201002, Middle Tennessee State University, Department of Economics and Finance.
    43. Qi Zhang & Zhuo Chen & Norou Diawara & Youfa Wang, 2011. "Prices of Unhealthy Foods, Food Stamp Program Participation, and Body Weight Status Among U.S. Low-Income Women," Journal of Family and Economic Issues, Springer, vol. 32(2), pages 245-256, June.
    44. Neeraj Kaushal & Qin Gao, 2011. "Food Stamp Program and Consumption Choices," NBER Chapters, in: Economic Aspects of Obesity, pages 223-247, National Bureau of Economic Research, Inc.
    45. Ver Ploeg, Michele & Mancino, Lisa & Lin, Biing-Hwan, 2007. "Food and Nutrition Assistance Programs and Obesity: 1976-2002," Economic Research Report 55965, United States Department of Agriculture, Economic Research Service.
    46. Nicholas, Lauren Hersch, 2011. "Can Food Stamps help to reduce Medicare spending on diabetes?," Economics & Human Biology, Elsevier, vol. 9(1), pages 1-13, January.
    47. Yen, Steven T., 2010. "The effects of SNAP and WIC programs on nutrient intakes of children," Food Policy, Elsevier, vol. 35(6), pages 576-583, December.
    48. Han, Euna & Powell, Lisa M. & Isgor, Zeynep, 2012. "Supplemental nutrition assistance program and body weight outcomes: The role of economic contextual factors," Social Science & Medicine, Elsevier, vol. 74(12), pages 1874-1881.
    49. Steven T. Yen & Donald J. Bruce & Lisa Jahns, 2012. "Supplemental Nutrition Assistance Program Participation And Health: Evidence From Low‐Income Individuals In Tennessee," Contemporary Economic Policy, Western Economic Association International, vol. 30(1), pages 1-12, January.
    50. Asfaw, Abay, 2007. "Micronutrient deficiency and the prevalence of mothers' overweight/obesity in Egypt," Economics & Human Biology, Elsevier, vol. 5(3), pages 471-483, December.
    51. Alston, Julian M. & Mullally, Conner C. & Sumner, Daniel A. & Townsend, Marilyn & Vosti, Stephen A., 2009. "Likely effects on obesity from proposed changes to the US food stamp program," Food Policy, Elsevier, vol. 34(2), pages 176-184, April.

Software components

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Chapters

  1. David O. Meltzer & Zhuo Chen, 2011. "The Impact of Minimum Wage Rates on Body Weight in the United States," NBER Chapters, in: Economic Aspects of Obesity, pages 17-34, National Bureau of Economic Research, Inc.
    See citations under working paper version above.Sorry, no citations of chapters recorded.
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