IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v14y2024i10p1672-d1484916.html
   My bibliography  Save this article

How Farm Machinery Rental Services and Off-Farm Work Affect Household Income in China

Author

Listed:
  • Weiwei Wang

    (Institute of Rural Economics, Hubei Academy of Social Sciences, Wuhan 430060, China)

  • Zhihai Yang

    (College of Economics and Management, Huazhong Agricultural University, Wuhan 430070, China)

  • Xiangqun Gu

    (College of Economics and Management, Huazhong Agricultural University, Wuhan 430070, China)

  • Amin Mugera

    (The UWA Institute of Agriculture, The University of Western Australia, Perth 6000, Australia)

  • Ning Yin

    (College of Economics, Hunan Agricultural University, Changsha 410128, China)

Abstract

(1) Background: Most nations struggle to close significant income gaps between high and low earners. While the adoption of farm machinery rental services and off-farm employment may be beneficial, it is unclear whether jointly applying both approaches can raise income levels in rural households or help narrow the income gap within the farm sector. This study investigated scenarios involving both participation in farm machinery rental markets and in off-farm work, analyzing their varied impacts on household incomes based on survey data from 1027 rice producers in rural China. (2) Methods: We employed a two-stage econometric procedure encompassing a bivariate ordered probit model with an endogeneity-corrected unconditional quantile regression model. (3) Results: Rice farmers often simultaneously rent farm machinery services and engage in off-farm work. Both activities positively affect their household incomes; however, these effects vary across different income levels. Renting farm machinery provides greater marginal benefits for lower-income households, while off-farm employment has a stronger impact on higher-income households. Farm machinery rental services appear to benefit disadvantaged households more than off-farm employment opportunities do. (4) Suggestions: To enhance the welfare of lower-income households, policymakers should focus on expanding access to farm machinery rental services.

Suggested Citation

  • Weiwei Wang & Zhihai Yang & Xiangqun Gu & Amin Mugera & Ning Yin, 2024. "How Farm Machinery Rental Services and Off-Farm Work Affect Household Income in China," Agriculture, MDPI, vol. 14(10), pages 1-16, September.
    • Handle: RePEc:gam:jagris:v:14:y:2024:i:10:p:1672-:d:1484916
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/14/10/1672/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2077-0472/14/10/1672/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Aryal, Jeetendra Prakash & Rahut, Dil Bahadur & Maharjan, Sofina & Erenstein, Olaf, 2019. "Understanding factors associated with agricultural mechanization: A Bangladesh case," World Development Perspectives, Elsevier, vol. 13(C), pages 1-9.
    2. Markus Frölich & Blaise Melly, 2013. "Unconditional Quantile Treatment Effects Under Endogeneity," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(3), pages 346-357, July.
    3. Quang Tran, Tuyen & Van Vu, Huong, 2019. "The impact of land fragmentation on household income: Evidence from rural Vietnam," MPRA Paper 98171, University Library of Munich, Germany, revised 2019.
    4. Khondoker A. Mottaleb & Dil Bahadur Rahut & Akhter Ali & Bruno Gérard & Olaf Erenstein, 2017. "Enhancing Smallholder Access to Agricultural Machinery Services: Lessons from Bangladesh," Journal of Development Studies, Taylor & Francis Journals, vol. 53(9), pages 1502-1517, September.
    5. Zhang, Xiaobo & Yang, Jin & Reardon, Thomas, 2020. "Mechanization outsourcing clusters and division of labor in Chinese agriculture," IFPRI book chapters, in: An evolving paradigm of agricultural mechanization development: How much can Africa learn from Asia?, chapter 2, pages 71-96, International Food Policy Research Institute (IFPRI).
    6. Brian Sims & Josef Kienzle, 2017. "Sustainable Agricultural Mechanization for Smallholders: What Is It and How Can We Implement It?," Agriculture, MDPI, vol. 7(6), pages 1-21, June.
    7. David Powell, 2020. "Quantile Treatment Effects in the Presence of Covariates," The Review of Economics and Statistics, MIT Press, vol. 102(5), pages 994-1005, December.
    8. Imai, Katsushi S. & Gaiha, Raghav & Thapa, Ganesh, 2015. "Does non-farm sector employment reduce rural poverty and vulnerability? Evidence from Vietnam and India," Journal of Asian Economics, Elsevier, vol. 36(C), pages 47-61.
    9. E. Phimister & D. Roberts, 2006. "The Effect of Off-farm Work on the Intensity of Agricultural Production," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 34(4), pages 493-515, August.
    10. Qiao, Fangbin, 2017. "Increasing wage, mechanization, and agriculture production in China," China Economic Review, Elsevier, vol. 46(C), pages 249-260.
    11. Julius Manda & Arega D. Alene & Cornelis Gardebroek & Menale Kassie & Gelson Tembo, 2016. "Adoption and Impacts of Sustainable Agricultural Practices on Maize Yields and Incomes: Evidence from Rural Zambia," Journal of Agricultural Economics, Wiley Blackwell, vol. 67(1), pages 130-153, February.
    12. Jin Yang & Zuhui Huang & Xiaobo Zhang & Thomas Reardon, 2013. "The Rapid Rise of Cross-Regional Agricultural Mechanization Services in China," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 95(5), pages 1245-1251.
    13. Benedetto Rocchi & Maria Marino & Simone Severini, 2021. "Does an Income Gap between Farm and Nonfarm Households Still Exist? The Case of the European Union," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 43(4), pages 1672-1697, December.
    14. J. Edward Taylor & Alejandro Lopez-Feldman, 2010. "Does Migration Make Rural Households More Productive? Evidence from Mexico," Journal of Development Studies, Taylor & Francis Journals, vol. 46(1), pages 68-90.
    15. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, April.
    16. Janvry, Alain de & Sadoulet, Elisabeth, 2001. "Income Strategies Among Rural Households in Mexico: The Role of Off-farm Activities," World Development, Elsevier, vol. 29(3), pages 467-480, March.
    17. Ma, Wanglin & Renwick, Alan & Grafton, Quentin, 2018. "Farm machinery use, off-farm employment and farm performance in China," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 62(2), April.
    18. Tran, Tuyen Quang & Vu, Huong Van, 2019. "Land fragmentation and household income: First evidence from rural Vietnam," Land Use Policy, Elsevier, vol. 89(C).
    19. Xiaobing Wang & Futoshi Yamauchi & Jikun Huang, 2016. "Rising wages, mechanization, and the substitution between capital and labor: evidence from small scale farm system in China," Agricultural Economics, International Association of Agricultural Economists, vol. 47(3), pages 309-317, May.
    20. Wanglin Ma & Alan Renwick & Quentin Grafton, 2018. "Farm machinery use, off†farm employment and farm performance in China," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 62(2), pages 279-298, April.
    21. Ashok K. Mishra & Kh. A. Mottaleb & Samarendu Mohanty, 2015. "Impact of off-farm income on food expenditures in rural Bangladesh: an unconditional quantile regression approach," Agricultural Economics, International Association of Agricultural Economists, vol. 46(2), pages 139-148, March.
    22. Ma, Wanglin & Zhou, Xiaoshi & Renwick, Alan, 2019. "Impact of off-farm income on household energy expenditures in China: Implications for rural energy transition," Energy Policy, Elsevier, vol. 127(C), pages 248-258.
    23. Mendola, Mariapia, 2008. "Migration and technological change in rural households: Complements or substitutes?," Journal of Development Economics, Elsevier, vol. 85(1-2), pages 150-175, February.
    24. Ma, Wanglin & Renwick, Alan & Nie, Peng & Tang, Jianjun & Cai, Rong, 2018. "Off-farm work, smartphone use and household income: Evidence from rural China," China Economic Review, Elsevier, vol. 52(C), pages 80-94.
    25. Van den Berg, M. Marrit & Hengsdijk, Huib & Wolf, Joost & Van Ittersum, Martin K. & Guanghuo, Wang & Roetter, Reimund P., 2007. "The impact of increasing farm size and mechanization on rural income and rice production in Zhejiang province, China," Agricultural Systems, Elsevier, vol. 94(3), pages 841-850, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Xi Yu & Xiyang Yin & Yuying Liu & Dongmei Li, 2021. "Do Agricultural Machinery Services Facilitate Land Transfer? Evidence from Rice Farmers in Sichuan Province, China," Land, MDPI, vol. 10(5), pages 1-14, April.
    2. Zhou, Xiaoshi & Ma, Wanglin, 2021. "Effects of Agricultural Mechanization on Land Productivity: Evidence from China," 2021 Conference, August 17-31, 2021, Virtual 315143, International Association of Agricultural Economists.
    3. Xiaoshi Zhou & Wanglin Ma & Gucheng Li & Huanguang Qiu, 2020. "Farm machinery use and maize yields in China: an analysis accounting for selection bias and heterogeneity," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(4), pages 1282-1307, October.
    4. Idelphonse O. Saliou & Afio Zannou & Augustin K. N. Aoudji & Albert N. Honlonkou, 2020. "Drivers of Mechanization in Cotton Production in Benin, West Africa," Agriculture, MDPI, vol. 10(11), pages 1-13, November.
    5. Qian, Long & Lu, Hua & Gao, Qiang & Lu, Hualiang, 2022. "Household-owned farm machinery vs. outsourced machinery services: The impact of agricultural mechanization on the land leasing behavior of relatively large-scale farmers in China," Land Use Policy, Elsevier, vol. 115(C).
    6. Siyu Yang & Wei Li, 2022. "The Impact of Socialized Agricultural Machinery Services on Land Productivity: Evidence from China," Agriculture, MDPI, vol. 12(12), pages 1-18, December.
    7. Zou, Baoling & Mishra, Ashok K., 2024. "Modernizing Smallholder Agriculture and Achieving Food Security: An Exploration in Machinery Services and Labor Reallocation in China," IZA Discussion Papers 17008, Institute of Labor Economics (IZA).
    8. 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).
    9. Aryal, Jeetendra Prakash & Rahut, Dil Bahadur & Thapa, Ganesh & Simtowe, Franklin, 2021. "Mechanisation of small-scale farms in South Asia: Empirical evidence derived from farm households survey," Technology in Society, Elsevier, vol. 65(C).
    10. Xiang Li & Xiaoqin Guo, 2023. "Can Policy Promote Agricultural Service Outsourcing? Quasi-Natural Experimental Evidence from China," Sustainability, MDPI, vol. 15(2), pages 1-18, January.
    11. repec:ags:aaea22:335478 is not listed on IDEAS
    12. 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.
    13. Deng, Xin & Xu, Dingde & Zeng, Miao & Qi, Yanbin, 2019. "Does Internet use help reduce rural cropland abandonment? Evidence from China," Land Use Policy, Elsevier, vol. 89(C).
    14. Suhao Wei & Yangxiao Lu, 2022. "Why China’s AMS Market Is Difficult to Develop Sustainably: Evidence from the North China Plain," Sustainability, MDPI, vol. 15(1), pages 1-16, December.
    15. M. J. Hossain & A. K. M. Abdullah Al-Amin, 2019. "Non-farm Income and Consumption Expenditures in Rural Bangladesh: Empirical Evidence from Multilevel Regression Modelling," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 17(2), pages 377-396, June.
    16. Xiaoshi Zhou & Wanglin Ma & Gucheng Li, 2018. "Draft Animals, Farm Machines and Sustainable Agricultural Production: Insight from China," Sustainability, MDPI, vol. 10(9), pages 1-16, August.
    17. Alwin D'Souza & Ashok K. Mishra & Stefan Hirsch, 2020. "Enhancing food security through diet quality: The role of nonfarm work in rural India," Agricultural Economics, International Association of Agricultural Economists, vol. 51(1), pages 95-110, January.
    18. Zhao, Qianyu & Bao, Helen X.H. & Zhang, Zhanlu, 2021. "Off-farm employment and agricultural land use efficiency in China," Land Use Policy, Elsevier, vol. 101(C).
    19. Zhoufu Yan & Shurui Zhang & Fangwei Wu & Binlei Gong, 2023. "Increasing Wages, Factor Substitution, and Cropping Pattern Changes in China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 31(5), pages 190-214, September.
    20. Ma, Wanglin & Vatsa, Puneet & Zheng, Hongyun & Rahut, Dil Bahadur, 2022. "Nonfarm employment and consumption diversification in rural China," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 582-598.
    21. Wangda Liao & Fusheng Zeng & Meseret Chanieabate, 2022. "Mechanization of Small-Scale Agriculture in China: Lessons for Enhancing Smallholder Access to Agricultural Machinery," Sustainability, MDPI, vol. 14(13), pages 1-21, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jagris:v:14:y:2024:i:10:p:1672-:d:1484916. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.