IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v13y2023i10p1869-d1246956.html
   My bibliography  Save this article

Does Outsourcing Service Reduce the Excessive Use of Chemical Fertilizers in Rural China? The Moderating Effects of Farm Size and Plot Size

Author

Listed:
  • Bowei Li

    (Zhejiang Province Key Think Tank, Institute of Ecological Civilization, Zhejiang A&F University, Hangzhou 311300, China
    College of Economics and Management, Zhejiang A&F University, Hangzhou 311300, China)

  • Yanjun Qian

    (College of Economics and Management, Zhejiang A&F University, Hangzhou 311300, China)

  • Fanbin Kong

    (Zhejiang Province Key Think Tank, Institute of Ecological Civilization, Zhejiang A&F University, Hangzhou 311300, China
    College of Economics and Management, Nanjing Forestry University, Nanjing 210037, China)

Abstract

The excessive use of chemical fertilizers (OCF) is one of China’s main sources of agricultural nonpoint source pollution. It is debatable whether outsourcing service adoption (FOS) reduces OCF. This article argues that farm size and plot size can moderate the effectiveness of FOS in reducing OCF. Particularly, organizations earn more profits when they provide outsourcing services to large-sized farms and plots, thereby preventing their opportunistic behavior and reducing the OCF. Based on the survey data of wheat growers from six major grain-producing counties in Anhui Province, China, the Cobb–Douglas production function is used to measure the OCF, and ordinary least squares (OLS) estimation is used as a benchmark. In addition, propensity score matching (PSM) is used to eliminate the selection bias, and two-stage least squares estimation (IV-2sls) is used to eliminate endogeneity. The results indicate that approximately 90% of the sampled households used excessive fertilizers, signifying that the excessive use of chemical fertilizers in China’s agricultural production remains a serious problem. FOS reduces the OCF on large farms and plots. However, the effectiveness of FOS in reducing OCF disappeared when it was provided to small farms and plots. Extending FOS and organizing efficient land transfers should receive equal consideration from policymakers.

Suggested Citation

  • Bowei Li & Yanjun Qian & Fanbin Kong, 2023. "Does Outsourcing Service Reduce the Excessive Use of Chemical Fertilizers in Rural China? The Moderating Effects of Farm Size and Plot Size," Agriculture, MDPI, vol. 13(10), pages 1-18, September.
  • Handle: RePEc:gam:jagris:v:13:y:2023:i:10:p:1869-:d:1246956
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/13/10/1869/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2077-0472/13/10/1869/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bu, Di & Liao, Yin, 2022. "Land property rights and rural enterprise growth: Evidence from land titling reform in China," Journal of Development Economics, Elsevier, vol. 157(C).
    2. 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).
    3. 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).
    4. 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.
    5. Chèze, Benoît & David, Maia & Martinet, Vincent, 2020. "Understanding farmers' reluctance to reduce pesticide use: A choice experiment," Ecological Economics, Elsevier, vol. 167(C).
    6. Alberto Abadie & Guido W. Imbens, 2008. "On the Failure of the Bootstrap for Matching Estimators," Econometrica, Econometric Society, vol. 76(6), pages 1537-1557, November.
    7. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity Score-Matching Methods For Nonexperimental Causal Studies," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 151-161, February.
    8. Belton, Ben & Win, Myat Thida & Zhang, Xiaobo & Filipski, Mateusz, 2021. "The rapid rise of agricultural mechanization in Myanmar," Food Policy, Elsevier, vol. 101(C).
    9. Lin, Justin Yifu, 1992. "Rural Reforms and Agricultural Growth in China," American Economic Review, American Economic Association, vol. 82(1), pages 34-51, March.
    10. Wu, Bin & Liu, Linghui, 2020. "Social capital for rural revitalization in China: A critical evaluation on the government’s new countryside programme in Chengdu," Land Use Policy, Elsevier, vol. 91(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ziming Bai & Xiaochen Zhang & Jiabin Xu & Cuixia Li, 2024. "Can Farmland Transfer Reduce Fertilizer Nonpoint Source Pollution? Evidence from China," Land, MDPI, vol. 13(6), pages 1-20, June.
    2. Chengze Li & Dianwei Zhang & Qian Lu & Jiajing Wei & Qingsong Zhang, 2024. "Production Process Outsourcing, Farmers’ Operation Capability, and Income-Enhancing Effects," Agriculture, MDPI, vol. 14(9), pages 1-20, August.

    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. Yingyu Zhu & Junmiao Deng & Menghan Wang & Yuanchang Tan & Wei Yao & Yan Zhang, 2022. "Can Agricultural Productive Services Promote Agricultural Environmental Efficiency in China?," IJERPH, MDPI, vol. 19(15), pages 1-18, July.
    2. Xuelan Li & Rui Guan, 2023. "How Does Agricultural Mechanization Service Affect Agricultural Green Transformation in China?," IJERPH, MDPI, vol. 20(2), pages 1-23, January.
    3. 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.
    4. Meng Qu & Kai Zhao & Renhui Zhang & Yuan Gao & Jing Wang, 2022. "Divergence between Willingness and Behavior of Farmers to Purchase Socialized Agricultural Services: From a Heterogeneity Perspective of Land Scale," Land, MDPI, vol. 11(8), pages 1-21, July.
    5. 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).
    6. Juan Ai & Lun Hu & Shuhua Xia & Hongling Xiang & Zhaojiu Chen, 2023. "Analysis of Factors Influencing the Adoption Behavior of Agricultural Productive Services Based on Logistic—ISM Model: A Case Study of Rice Farmers in Jiangxi Province, China," Agriculture, MDPI, vol. 13(1), pages 1-16, January.
    7. Ruining Li & Yanli Yu, 2022. "Impacts of Green Production Behaviors on the Income Effect of Rice Farmers from the Perspective of Outsourcing Services: Evidence from the Rice Region in Northwest China," Agriculture, MDPI, vol. 12(10), pages 1-27, October.
    8. Zhang, Jian & Mishra, Ashok K. & Zhu, Peixin & Li, Xiaoshun, 2020. "Land rental market and agricultural labor productivity in rural China: A mediation analysis," World Development, Elsevier, vol. 135(C).
    9. Balima, Wenéyam Hippolyte & Combes, Jean-Louis & Minea, Alexandru, 2017. "Sovereign debt risk in emerging market economies: Does inflation targeting adoption make any difference?," Journal of International Money and Finance, Elsevier, vol. 70(C), pages 360-377.
    10. Nathalie Greenan & Pierre-Jean Messe, 2018. "Transmission of vocational skills in the second part of careers: the effect of ICT and management changes," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 52(1), pages 1-16, December.
    11. Tymon Słoczyński, 2015. "The Oaxaca–Blinder Unexplained Component as a Treatment Effects Estimator," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(4), pages 588-604, August.
    12. Lin, Jenny X. & Lincoln, William F., 2017. "Pirate's treasure," Journal of International Economics, Elsevier, vol. 109(C), pages 235-245.
    13. von Greiff, Jenny, 2009. "Displacement and self-employment entry," Labour Economics, Elsevier, vol. 16(5), pages 556-565, October.
    14. Jasmin Kantarevic & Boris Kralj, 2016. "Physician Payment Contracts in the Presence of Moral Hazard and Adverse Selection: The Theory and Its Application in Ontario," Health Economics, John Wiley & Sons, Ltd., vol. 25(10), pages 1326-1340, October.
    15. Gonzalo Cómbita Mora & Óscar Pérez Rodríguez, 2020. "International Remittances and Child Welfare: A Case Study on Cali Colombia," Revista Desarrollo y Sociedad, Universidad de los Andes,Facultad de Economía, CEDE, vol. 86(3), pages 73-103, November.
    16. Weneyam Hippolyte Balima & Jean-Louis Combes & Alexandru Minea, 2015. "Sovereign Debt Risk in Emerging Countries: Does Inflation Targeting Adoption Make Any Difference?," CERDI Working papers halshs-01128239, HAL.
    17. Martin Huber & Michael Lechner & Giovanni Mellace, 2017. "Why Do Tougher Caseworkers Increase Employment? The Role of Program Assignment as a Causal Mechanism," The Review of Economics and Statistics, MIT Press, vol. 99(1), pages 180-183, March.
    18. Candon, David, 2018. "The effect of cancer on the labor supply of employed men over the age of 65," Economics & Human Biology, Elsevier, vol. 31(C), pages 184-199.
    19. Huber, Martin & Lechner, Michael & Wunsch, Conny, 2015. "Workplace health promotion and labour market performance of employees," Journal of Health Economics, Elsevier, vol. 43(C), pages 170-189.
    20. Burger, Anže & Hogan, Teresa & Kotnik, Patricia & Rao, Sandeep & Sakinç, Mustafa Erdem, 2023. "Does acquisition lead to the growth of high-tech scale-ups? Evidence from Europe," Research in International Business and Finance, Elsevier, vol. 64(C).

    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:13:y:2023:i:10:p:1869-:d:1246956. 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.