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Rui Li

Personal Details

First Name:Rui
Middle Name:
Last Name:Li
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RePEc Short-ID:pli886
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Affiliation

Business School
Beijing Normal University

Beijing, China
http://bs.bnu.edu.cn/
RePEc:edi:smbnucn (more details at EDIRC)

Research output

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Jump to: Articles Chapters

Articles

  1. Wang, Jin & Li, Rui, 2023. "Asymmetric information in peer-to-peer lending: empirical evidence from China," Finance Research Letters, Elsevier, vol. 51(C).
  2. Li, Rui & Zhu, Zhikai & Wang, Xiaoyan, 2023. "Pension insurance contributions and ESG performance: Evidence from China," Finance Research Letters, Elsevier, vol. 58(PD).
  3. Lv, Xiaofeng & Sun, Xu-Ran & Lu, Yue & Li, Rui, 2019. "Nonparametric identification and estimation of dynamic treatment effects for survival data in a regression discontinuity design," Economics Letters, Elsevier, vol. 184(C).
  4. Li, Rui & Li, Qinghai & Lv, Xiaofeng & Zhu, Xi, 2019. "The land rental of Chinese rural households and its welfare effects," China Economic Review, Elsevier, vol. 54(C), pages 204-217.
  5. Lv, Xiaofeng & Li, Rui & Fang, Zheng, 2017. "Efficient semiparametric estimation for Gini inequality treatment effects," Economics Letters, Elsevier, vol. 154(C), pages 96-100.
  6. Li, Rui & Li, Qinghai & Huang, Shaoan & Zhu, Xi, 2013. "The credit rationing of Chinese rural households and its welfare loss: An investigation based on panel data," China Economic Review, Elsevier, vol. 26(C), pages 17-27.
  7. Xiaofeng Lv & Rui Li, 2013. "Smoothed empirical likelihood analysis of partially linear quantile regression models with missing response variables," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 97(4), pages 317-347, October.
  8. Dandan Liu & Rui Li & Jijun Tan, 2012. "A dual measure of correlation between the Solow residual and output growth," Journal of Productivity Analysis, Springer, vol. 37(1), pages 17-25, February.
  9. Dandan Liu & Rui Li & Zijun Wang, 2011. "Testing for structural breaks in panel varying coefficient models: with an application to OECD health expenditure," Empirical Economics, Springer, vol. 40(1), pages 95-118, February.
  10. Li Rui & Zhu Xi, 2010. "Econometric analysis of credit constraints of chinese rural households and welfare loss," Applied Economics, Taylor & Francis Journals, vol. 42(13), pages 1615-1625.
  11. Rui Li & Guan Gong, 2008. "K-nearest-neighbour non-parametric estimation of regression functions in the presence of irrelevant variables," Econometrics Journal, Royal Economic Society, vol. 11(2), pages 396-408, July.

Chapters

  1. Gaosheng Ju & Rui Li & Zhongwen Liang, 2009. "Nonparametric estimation of multivariate CDF with categorical and continuous data," Advances in Econometrics, in: Nonparametric Econometric Methods, pages 291-318, Emerald Group Publishing Limited.

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.

Articles

  1. Wang, Jin & Li, Rui, 2023. "Asymmetric information in peer-to-peer lending: empirical evidence from China," Finance Research Letters, Elsevier, vol. 51(C).

    Cited by:

    1. Davaadorj, Zagdbazar, 2024. "The influence of the digital divide on peer-to-peer lending outcomes," Finance Research Letters, Elsevier, vol. 61(C).

  2. Lv, Xiaofeng & Sun, Xu-Ran & Lu, Yue & Li, Rui, 2019. "Nonparametric identification and estimation of dynamic treatment effects for survival data in a regression discontinuity design," Economics Letters, Elsevier, vol. 184(C).

    Cited by:

    1. Matias D. Cattaneo & Rocio Titiunik, 2021. "Regression Discontinuity Designs," Papers 2108.09400, arXiv.org, revised Feb 2022.

  3. Li, Rui & Li, Qinghai & Lv, Xiaofeng & Zhu, Xi, 2019. "The land rental of Chinese rural households and its welfare effects," China Economic Review, Elsevier, vol. 54(C), pages 204-217.

    Cited by:

    1. Meng Yang & Ting Sun & Tao Liu, 2023. "The Heterogeneous Effects of Multilevel Centers on Farmland Transfer: Evidence from Tai’an Prefecture, China," Land, MDPI, vol. 12(10), pages 1-19, September.
    2. Lijing Zhang & Mingyong Hong & Xiaolin Guo & Wenrong Qian, 2022. "How Does Land Rental Affect Agricultural Labor Productivity? An Empirical Study in Rural China," Land, MDPI, vol. 11(5), pages 1-19, April.
    3. Yinhao Wu & Hengyun Ma, 2022. "How Much Farmland Are Farmers Willing to Lease? The Construction and Evaluation of a Farmland Transfer Supply Function with Application to a Case Study in China," Land, MDPI, vol. 12(1), pages 1-12, December.
    4. Chaozheng Zhang & Danling Chen, 2021. "Fragmentation Reduction through Farmer-Led Land Transfer and Consolidation? Experiences of Rice Farmers in Wuhan Metropolitan Area, China," Agriculture, MDPI, vol. 11(7), pages 1-14, July.
    5. 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.
    6. Li, Xingguang, 2023. "Farmland rental market participation and residential energy consumption: Evidence from rural areas in China," Energy, Elsevier, vol. 268(C).
    7. Liu, Yan & Heerink, Nico & Li, Fan & Shi, Xiaoping, 2022. "Do agricultural machinery services promote village farmland rental markets? Theory and evidence from a case study in the North China plain," Land Use Policy, Elsevier, vol. 122(C).
    8. Hui Xiao & Xian Liang & Shu Xing & Longjunjiang Huang & Fangting Xie, 2023. "Does Land Lease Affect the Multidimensional Poverty Alleviation? The Evidence from Jiangxi, China," Land, MDPI, vol. 12(5), pages 1-20, April.
    9. Li, Changsheng & Ma, Wanglin & Mishra, Ashok K. & Gao, Liangliang, 2020. "Access to credit and farmland rental market participation: Evidence from rural China," China Economic Review, Elsevier, vol. 63(C).
    10. Gang Li & Xufeng Cui & Lan Pan & Yufei Wang, 2023. "Land Transfer and Rural Household Consumption Diversity: Promoting or Inhibiting?," Land, MDPI, vol. 12(1), pages 1-16, January.
    11. Zhengxue Huang & Jingkui Zhou & Xiong Huang, 2022. "Does the transfer of farmland use rights increase farmers’ long‐term intention to work in cities?," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 30(2), pages 373-392, April.
    12. Lian Ke & Shan Cheng & Diqiang Chen & Ying Li, 2023. "Why Is the Income Effect of Farmland Transfer Inconsistent between Transferred-Out and Transferred-In Households?," Sustainability, MDPI, vol. 15(9), pages 1-19, April.
    13. Xiaonan Zhao & Feng Lan, 2023. "The Impact of Livelihood Capital Endowment on Household Poverty Alleviation: The Mediating Effect of Land Transfer," Land, MDPI, vol. 12(7), pages 1-17, July.
    14. Huaquan Zhang & Ruijia Jin & Martinson Ankrah Twumasi & Shishun Xiao & Abbas Ali Chandio & Ghulam Raza Sargani, 2022. "How Does the Heterogeneity of Family Structure Affect the Area of Land Transferred Out in the Context of Rural Revitalization?—Experience from CHIP 2013," Land, MDPI, vol. 12(1), pages 1-14, December.
    15. Li, Chengyou & Jiao, Yong & Sun, Tao & Liu, Anran, 2021. "Alleviating multi-dimensional poverty through land transfer: Evidence from poverty-stricken villages in China," China Economic Review, Elsevier, vol. 69(C).
    16. Benna Da & Yunhua Wu & Wuyuntana Bao, 2024. "Analysis of Spatial Distribution and Spillover Effects of Fertilizer Application Intensity in Inner Mongolia, China," Sustainability, MDPI, vol. 16(11), pages 1-23, May.
    17. Chen, Conghui & Liu, Bing & Wang, Ziyou, 2023. "Can land transfer relax credit constraints? Evidence from China," Economic Modelling, Elsevier, vol. 122(C).

  4. Lv, Xiaofeng & Li, Rui & Fang, Zheng, 2017. "Efficient semiparametric estimation for Gini inequality treatment effects," Economics Letters, Elsevier, vol. 154(C), pages 96-100.

    Cited by:

    1. Roman Matkovskyy, 2020. "A measurement of affluence and poverty interdependence across countries: Evidence from the application of tail copula," Post-Print hal-03163619, HAL.

  5. Li, Rui & Li, Qinghai & Huang, Shaoan & Zhu, Xi, 2013. "The credit rationing of Chinese rural households and its welfare loss: An investigation based on panel data," China Economic Review, Elsevier, vol. 26(C), pages 17-27.

    Cited by:

    1. Liqiong Lin & Weizhuo Wang & Christopher Gan & David A. Cohen & Quang T.T Nguyen, 2019. "Rural Credit Constraint and Informal Rural Credit Accessibility in China," Sustainability, MDPI, vol. 11(7), pages 1-20, April.
    2. Tran, Minh Chau & Gan, Christopher & Hu, Baiding, 2014. "Credit Constraints and Impact on Farm Household Welfare: Evidence from Vietnam’s North Central Coast region," 2014 Conference, August 28-29, 2014, Nelson, New Zealand 187495, New Zealand Agricultural and Resource Economics Society.
    3. Xiaofeng Lv & Gupeng Zhang & Xinkuo Xu & Qinghai Li, 2017. "Bootstrap-calibrated empirical likelihood confidence intervals for the difference between two Gini indexes," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 15(2), pages 195-216, June.
    4. Adewale Isaac Olutumise, 2023. "Impact of credit on the climate adaptation utilization among food crop farmers in Southwest, Nigeria: application of endogenous treatment Poisson regression model," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 11(1), pages 1-19, December.
    5. Fungáčová, Zuzana & Weill, Laurent, 2015. "Understanding financial inclusion in China," China Economic Review, Elsevier, vol. 34(C), pages 196-206.
    6. Li, Rui & Li, Qinghai & Lv, Xiaofeng & Zhu, Xi, 2019. "The land rental of Chinese rural households and its welfare effects," China Economic Review, Elsevier, vol. 54(C), pages 204-217.
    7. Jin, Yanhong & Fan, Maoyong & Cheng, Mingwang & Shi, Qinghua, 2014. "The economic gains of cadre status in rural China: Investigating effects and mechanisms," China Economic Review, Elsevier, vol. 31(C), pages 185-200.
    8. Jiang Du & Miao Zeng & Zhengjuan Xie & Shikun Wang, 2019. "Power of Agricultural Credit in Farmland Abandonment: Evidence from Rural China," Land, MDPI, vol. 8(12), pages 1-14, December.
    9. Yusuf Ibrahim Kofarmata & Abubakar Hamid Danlami, 2021. "A micro-level analysis of the intensity of agricultural finance supply in Nigeria: empirical evidence," SN Business & Economics, Springer, vol. 1(1), pages 1-17, January.
    10. Nan Zhou & Wenli Cheng & Longyao Zhang, 2022. "Stepping Stone: The Logic of Financial Inclusion through Microcredit in Rural China," Monash Economics Working Papers 2022-15, Monash University, Department of Economics.
    11. Tian, Qing & Holland, John H. & Brown, Daniel G., 2016. "Social and economic impacts of subsidy policies on rural development in the Poyang Lake Region, China: Insights from an agent-based model," Agricultural Systems, Elsevier, vol. 148(C), pages 12-27.
    12. Klimczuk, Andrzej & Kerla, Minela & Klimczuk-Kochańska, Magdalena & Toczyski, Piotr & Dovie, Delali (ed.), 2024. "Towards 2030: Sustainable Development Goal 8: Decent Work and Economic Growth. A Sociological Perspective," EconStor Books, ZBW - Leibniz Information Centre for Economics, number 303186, December.
    13. Martinson Ankrah Twumasi & Abbas Ali Chandio & Ghulam Raza Sargani & Isaac Asare & Huaquan Zhang, 2022. "Off-Farm Employment and Agricultural Credit Fungibility Nexus in Rural Ghana," Sustainability, MDPI, vol. 14(15), pages 1-15, July.
    14. Oliphant, Wesley & Ma, Hong, 2021. "Applying Behavioral Economics to microcredit in China’s rural areas," Journal of Behavioral and Experimental Finance, Elsevier, vol. 31(C).
    15. Eusébio, Gabriela Dos Santos & Gori-Maia, Alexandre & Silveira, Rodrigo Lanna F., 2017. "Measuring the Farm Level Impact of Rural Credit: A Two-stage Approach," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258551, Agricultural and Applied Economics Association.
    16. Xiaofeng Lv & Gupeng Zhang & Xinkuo Xu & Qinghai Li, 2017. "Bootstrap-calibrated empirical likelihood confidence intervals for the difference between two Gini indexes," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 15(2), pages 195-216, June.
    17. Weisong Qiu & Tieqi Wu & Peng Xue, 2022. "Can Mobile Payment Increase Household Income and Mitigate the Lower Income Condition Caused by Health Risks? Evidence from Rural China," IJERPH, MDPI, vol. 19(18), pages 1-15, September.
    18. Liqiong Lin & Weizhuo Wang & Christopher Gan & Quang T. T. Nguyen, 2019. "Credit Constraints on Farm Household Welfare in Rural China: Evidence from Fujian Province," Sustainability, MDPI, vol. 11(11), pages 1-19, June.
    19. Li, Qinghai & Yu, Yangcheng & Li, Yanru & Sun, Guanglin, 2023. "Heterogeneous Social network shape ability and willingness of rural residents to repay loans in China," Research in International Business and Finance, Elsevier, vol. 65(C).
    20. Qian, Zongxin & Tu, Yonghong & Zhou, Zinan, 2022. "The impact of financial development on the income and consumption levels of China’s rural residents," Journal of Asian Economics, Elsevier, vol. 83(C).
    21. Yuanyuan Guo & Can Liu & Hao Liu & Ke Chen & Dan He, 2023. "Financial Literacy, Borrowing Behavior and Rural Households’ Income: Evidence from the Collective Forest Area, China," Sustainability, MDPI, vol. 15(2), pages 1-21, January.
    22. Balana, Bedru & Oyeyemi, Motunrayo, 2021. "Credit Constraints and Adoption of Agricultural Technologies in Developing Countries? Evidence from Nigeria," 2021 Conference, August 17-31, 2021, Virtual 315347, International Association of Agricultural Economists.
    23. Zhao, Chunkai & Wu, Yaqian & Guo, Jianhao, 2022. "Mobile payment and Chinese rural household consumption," China Economic Review, Elsevier, vol. 71(C).
    24. Li, Xingguang & Huo, Xuexi, 2021. "Impacts of land market policies on formal credit accessibility and agricultural net income: Evidence from China's apple growers," Technological Forecasting and Social Change, Elsevier, vol. 173(C).

  6. Xiaofeng Lv & Rui Li, 2013. "Smoothed empirical likelihood analysis of partially linear quantile regression models with missing response variables," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 97(4), pages 317-347, October.

    Cited by:

    1. Xiaofeng Lv & Gupeng Zhang & Xinkuo Xu & Qinghai Li, 2017. "Bootstrap-calibrated empirical likelihood confidence intervals for the difference between two Gini indexes," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 15(2), pages 195-216, June.
    2. Bindele, Huybrechts F., 2018. "Covariates missing at random under signed-rank inference," Econometrics and Statistics, Elsevier, vol. 8(C), pages 78-93.
    3. Peixin Zhao & Xinrong Tang, 2016. "Imputation based statistical inference for partially linear quantile regression models with missing responses," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 79(8), pages 991-1009, November.
    4. Xiaofeng Lv & Gupeng Zhang & Xinkuo Xu & Qinghai Li, 2019. "Weighted quantile regression for censored data with application to export duration data," Statistical Papers, Springer, vol. 60(4), pages 1161-1192, August.
    5. Chang-Sheng Liu & Han-Ying Liang, 2023. "Bayesian empirical likelihood of quantile regression with missing observations," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 86(3), pages 285-313, April.
    6. Xiaofeng Lv & Gupeng Zhang & Xinkuo Xu & Qinghai Li, 2017. "Bootstrap-calibrated empirical likelihood confidence intervals for the difference between two Gini indexes," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 15(2), pages 195-216, June.
    7. Yu Shen & Han-Ying Liang, 2018. "Quantile regression and its empirical likelihood with missing response at random," Statistical Papers, Springer, vol. 59(2), pages 685-707, June.
    8. Xiaoshuang Zhou & Peixin Zhao & Yujie Gai, 2022. "Imputation-based empirical likelihood inferences for partially nonlinear quantile regression models with missing responses," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 106(4), pages 705-722, December.

  7. Dandan Liu & Rui Li & Jijun Tan, 2012. "A dual measure of correlation between the Solow residual and output growth," Journal of Productivity Analysis, Springer, vol. 37(1), pages 17-25, February.

    Cited by:

    1. Bibhudutta Panda, 2017. "Schooling and productivity growth: evidence from a dual growth accounting application to U.S. states," Journal of Productivity Analysis, Springer, vol. 48(2), pages 193-221, December.

  8. Dandan Liu & Rui Li & Zijun Wang, 2011. "Testing for structural breaks in panel varying coefficient models: with an application to OECD health expenditure," Empirical Economics, Springer, vol. 40(1), pages 95-118, February.

    Cited by:

    1. Liping Ye & Xinping Zhang, 2018. "Nonlinear Granger Causality between Health Care Expenditure and Economic Growth in the OECD and Major Developing Countries," IJERPH, MDPI, vol. 15(9), pages 1-16, September.
    2. Fengping Tian & Jiti Gao & Ke Yang, 2018. "A quantile regression approach to panel data analysis of health‐care expenditure in Organisation for Economic Co‐operation and Development countries," Health Economics, John Wiley & Sons, Ltd., vol. 27(12), pages 1921-1944, December.
    3. Xiaohui You & Albert A. Okunade, 2017. "Income and Technology as Drivers of Australian Healthcare Expenditures," Health Economics, John Wiley & Sons, Ltd., vol. 26(7), pages 853-862, July.
    4. Lago-Peñas, Santiago & Cantarero-Prieto, David & Blázquez-Fernández, Carla, 2013. "On the relationship between GDP and health care expenditure: A new look," Economic Modelling, Elsevier, vol. 32(C), pages 124-129.
    5. Agiwal Varun & Kumar Jitendra & Shangodoyin Dahud Kehinde, 2018. "A Bayesian Inference Of Multiple Structural Breaks In Mean And Error Variance In Panelar (1) Model," Statistics in Transition New Series, Statistics Poland, vol. 19(1), pages 7-23, March.
    6. Yan Feng & Toby Watt & Anita Charlesworth & Grace Marsden & Adam Roberts & Jon Sussex, 2017. "What Determines the Health Care Expenditure of High Income Countries? A Dynamic Estimation," Applied Economics and Finance, Redfame publishing, vol. 4(6), pages 1-16, November.
    7. Samia Nasreen & Aviral Kumar Tiwari & Mehr‐un Nisa & Faryal Ishtiaq, 2024. "Evaluating the Role of GDP Per Capita, Air Pollution and Non‐Economic Factors in Determining Health Expenditure: Evidence from Asian Region Using Instrumental Variables Techniques," Economic Papers, The Economic Society of Australia, vol. 43(1), pages 63-90, March.
    8. Moheddine Younsi & Mohamed Chakroun & Amine Nafla, 2016. "Robust analysis of the determinants of healthcare expenditure growth: evidence from panel data for low-, middle- and high-income countries," International Journal of Health Planning and Management, Wiley Blackwell, vol. 31(4), pages 580-601, October.
    9. Carla Blazquez-Fernandez & David Cantarero & Patricio Perez, 2014. "Disentangling the heterogeneous income elasticity and dynamics of health expenditure," Applied Economics, Taylor & Francis Journals, vol. 46(16), pages 1839-1854, June.
    10. Y. Natalia Alfonso & Guiru Ding & David Bishai, 2016. "Income Elasticity of Vaccines Spending versus General Healthcare Spending," Health Economics, John Wiley & Sons, Ltd., vol. 25(7), pages 860-872, July.
    11. Ousmane Traoré, 2020. "Economic Growth and Human Capital Accumulation across Countries: Evidence from WAEMU Region," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 26(2), pages 147-159, May.
    12. Huarng, Kun-Huang & Yu, Tiffany Hui-Kuang, 2015. "Healthcare expenditure with causal recipes," Journal of Business Research, Elsevier, vol. 68(7), pages 1570-1573.
    13. Eugene Kouassi & Gnoudentiho G Silue & Oluyele Akinkugbe & Jean Marcelin B Brou, 2017. "Health expenditures and Income with Nonstationary Panel Data: Evidence from ECOWAS Member Countries," Economics Bulletin, AccessEcon, vol. 37(3), pages 2198-2218.
    14. Alejandro F. Rodríguez & M. Nieves Valdés, 2019. "Health care expenditures and GDP in Latin American and OECD countries: a comparison using a panel cointegration approach," International Journal of Health Economics and Management, Springer, vol. 19(2), pages 115-153, June.
    15. Muhammad Arshad Khan & Muhammad Iftikhar Ul Husnain, 2019. "Is health care a luxury or necessity good? Evidence from Asian countries," International Journal of Health Economics and Management, Springer, vol. 19(2), pages 213-233, June.
    16. Wan-Jiun Chen, 2022. "Toward Sustainability: Dynamics of Total Carbon Dioxide Emissions, Aggregate Income, Non-Renewable Energy, and Renewable Power," Sustainability, MDPI, vol. 14(5), pages 1-27, February.

  9. Li Rui & Zhu Xi, 2010. "Econometric analysis of credit constraints of chinese rural households and welfare loss," Applied Economics, Taylor & Francis Journals, vol. 42(13), pages 1615-1625.

    Cited by:

    1. Jing You & Samuel Annim, 2014. "The Impact of Microcredit on Child Education: Quasi-experimental Evidence from Rural China," Journal of Development Studies, Taylor & Francis Journals, vol. 50(7), pages 926-948, July.
    2. You, Jing, 2013. "The role of microcredit in older children’s nutrition: Quasi-experimental evidence from rural China," Food Policy, Elsevier, vol. 43(C), pages 167-179.
    3. Liqiong Lin & Weizhuo Wang & Christopher Gan & David A. Cohen & Quang T.T Nguyen, 2019. "Rural Credit Constraint and Informal Rural Credit Accessibility in China," Sustainability, MDPI, vol. 11(7), pages 1-20, April.
    4. Tran, Minh Chau & Gan, Christopher & Hu, Baiding, 2014. "Credit Constraints and Impact on Farm Household Welfare: Evidence from Vietnam’s North Central Coast region," 2014 Conference, August 28-29, 2014, Nelson, New Zealand 187495, New Zealand Agricultural and Resource Economics Society.
    5. Zahoor Ahmad Shah & Mushtaq Ahmad Dar & Eajaz Ahmad Dar & Chukwujekwu A. Obianefo & Arif Hussain Bhat & Mohammed Tauseef Ali & Mohamed El-Sharnouby & Mustafa Shukry & Hosny Kesba & Samy Sayed, 2022. "Sustainable Fruit Growing: An Analysis of Differences in Apple Productivity in the Indian State of Jammu and Kashmir," Sustainability, MDPI, vol. 14(21), pages 1-24, November.
    6. Seven, Unal & Tumen, Semih, 2020. "Agricultural Credits and Agricultural Productivity: Cross-Country Evidence," IZA Discussion Papers 12930, Institute of Labor Economics (IZA).
    7. Tian, Qing & Holland, John H. & Brown, Daniel G., 2016. "Social and economic impacts of subsidy policies on rural development in the Poyang Lake Region, China: Insights from an agent-based model," Agricultural Systems, Elsevier, vol. 148(C), pages 12-27.
    8. Li, Rui & Li, Qinghai & Huang, Shaoan & Zhu, Xi, 2013. "The credit rationing of Chinese rural households and its welfare loss: An investigation based on panel data," China Economic Review, Elsevier, vol. 26(C), pages 17-27.
    9. Liu, Yun & Zhang, Yun & Zhang, Yifei & Xiao, He, 2022. "Small business owners’ Fintech credit in crises: Theory and evidence from farmers under the COVID-19," Pacific-Basin Finance Journal, Elsevier, vol. 71(C).
    10. Louis Atamja & Sungjoon Yoo, 2021. "Credit Constraint and Rural Household Welfare in the Mezam Division of the North-West Region of Cameroon," Sustainability, MDPI, vol. 13(11), pages 1-19, May.
    11. Liqiong Lin & Weizhuo Wang & Christopher Gan & Quang T. T. Nguyen, 2019. "Credit Constraints on Farm Household Welfare in Rural China: Evidence from Fujian Province," Sustainability, MDPI, vol. 11(11), pages 1-19, June.
    12. You, Jing, 2014. "Risk, under-investment in agricultural assets and dynamic asset poverty in rural China," China Economic Review, Elsevier, vol. 29(C), pages 27-45.
    13. Fadoju, Dorcas Tolulope & Felicia Adesiyan, Oluwafunmilola & Adeomi, Damilola Toluse, 2022. "Credit Constraints in Farm Households in South West Nigeria: Nature and Determinants," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 10(4), October.

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