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The Impact of Bancassurance Interaction on the Adoption Behavior of Green Production Technology in Family Farms: Evidence from China

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  • Linwei Wang

    (College of Economics and Management, Northwest A&F University, Xianyang 712100, China)

  • Yixin Hu

    (College of Economics and Management, Northwest A&F University, Xianyang 712100, China)

  • Rong Kong

    (College of Economics and Management, Northwest A&F University, Xianyang 712100, China)

Abstract

In the context of increasingly severe resource and environmental constraints, accelerating family farms to take the path of green agricultural development is an urgent practical problem to be solved. The bancassurance interaction, an innovative form of financial support policy for agriculture, can effectively alleviate the risks and credit rationing problems faced by family farms in the operation process, provide new opportunities for green production of family farms, and is of great significance to promoting sustainable agricultural development. This study uses data from 564 planting family farms in Shaanxi Province to analyze the impact of the bancassurance interaction on adopting green production technology in family farms and its mechanism, paying particular attention to the heterogeneous effects of the family life cycle and family economic level. The results of this study show that the bancassurance interaction has a significant positive impact on the adoption of green production technology by family farms. Compared with agricultural credit and insurance, the effect of the bancassurance interaction on adopting green production technologies is more evident. The analysis of the impact mechanism shows that the bancassurance interaction can promote the adoption of green production technology in family farms through three channels: increasing investment in agricultural production, expanding the scale of land management, and strengthening exchanges of green technology. Among them, the effect of increasing agrarian production investment is the most pronounced. The heterogeneity analysis shows that the impact of the bancassurance interaction on the green production technology of family farms varies significantly according to the family life cycle and economic level. Family farms at the dependency stage and low-income level were more willing to adopt green production technologies driven by the bancassurance interaction. Therefore, it is necessary to continuously innovate the interaction mode between banks and insurance companies, rationally allocating agricultural production factors and combining the actual situation of each family farm to strengthen the leading role of the bancassurance interaction in adopting green production technologies and promoting high-quality agricultural development.

Suggested Citation

  • Linwei Wang & Yixin Hu & Rong Kong, 2023. "The Impact of Bancassurance Interaction on the Adoption Behavior of Green Production Technology in Family Farms: Evidence from China," Land, MDPI, vol. 12(5), pages 1-26, April.
  • Handle: RePEc:gam:jlands:v:12:y:2023:i:5:p:941-:d:1130285
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    as
    1. Bowlus, Audra J. & Sicular, Terry, 2003. "Moving toward markets? Labor allocation in rural China," Journal of Development Economics, Elsevier, vol. 71(2), pages 561-583, August.
    2. Dean Karlan & Robert Osei & Isaac Osei-Akoto & Christopher Udry, 2014. "Agricultural Decisions after Relaxing Credit and Risk Constraints," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(2), pages 597-652.
    3. Dercon, Stefan & Christiaensen, Luc, 2011. "Consumption risk, technology adoption and poverty traps: Evidence from Ethiopia," Journal of Development Economics, Elsevier, vol. 96(2), pages 159-173, November.
    4. Qinhang Xu & Peixin Zhu & Liang Tang, 2022. "Agricultural Services: Another Way of Farmland Utilization and Its Effect on Agricultural Green Total Factor Productivity in China," Land, MDPI, vol. 11(8), pages 1-15, July.
    5. Greenwood, Jeremy & Jovanovic, Boyan, 1990. "Financial Development, Growth, and the Distribution of Income," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 1076-1107, October.
    6. King, Michael & Singh, Anuj Pratap, 2020. "Understanding farmers’ valuation of agricultural insurance: Evidence from Vietnam," Food Policy, Elsevier, vol. 94(C).
    7. Enrico Biffis & Erik Chavez & Alexis Louaas & Pierre Picard, 2022. "Parametric insurance and technology adoption in developing countries," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 47(1), pages 7-44, March.
    8. Brick, Kerri & Visser, Martine, 2015. "Risk preferences, technology adoption and insurance uptake: A framed experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 118(C), pages 383-396.
    9. Farrin, Katie & Miranda, Mario J., 2015. "A heterogeneous agent model of credit-linked index insurance and farm technology adoption," Journal of Development Economics, Elsevier, vol. 116(C), pages 199-211.
    10. Dingde Xu & Zhixing Ma & Xin Deng & Yi Liu & Kai Huang & Wenfeng Zhou & Zhuolin Yong, 2020. "Relationships between Land Management Scale and Livelihood Strategy Selection of Rural Households in China from the Perspective of Family Life Cycle," Land, MDPI, vol. 9(1), pages 1-15, January.
    11. Shikuku, Kelvin Mashisia, 2019. "Information exchange links, knowledge exposure, and adoption of agricultural technologies in northern Uganda," World Development, Elsevier, vol. 115(C), pages 94-106.
    12. Tesfamicheal Wossen & Thomas Berger & Salvatore Di Falco, 2015. "Social capital, risk preference and adoption of improved farm land management practices in Ethiopia," Agricultural Economics, International Association of Agricultural Economists, vol. 46(1), pages 81-97, January.
    13. Ruth Hill & Angelino Viceisza, 2012. "A field experiment on the impact of weather shocks and insurance on risky investment," Experimental Economics, Springer;Economic Science Association, vol. 15(2), pages 341-371, June.
    14. Derrick, Frederick W & Lehfeld, Alane K, 1980. "The Family Life Cycle: An Alternative Approach," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 7(2), pages 214-217, Se.
    15. John K. Horowitz & Erik Lichtenberg, 1993. "Insurance, Moral Hazard, and Chemical Use in Agriculture," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(4), pages 926-935.
    16. Boucher, Stephen R. & Carter, Michael R. & Guirkinger, Catherine, 2008. "AJAE Appendix: Risk Rationing and Wealth Effects in Credit Markets: Theory and Implications for Agriculture Development," American Journal of Agricultural Economics APPENDICES, Agricultural and Applied Economics Association, vol. 90(2), pages 1-6.
    17. Stiglitz, Joseph E & Weiss, Andrew, 1981. "Credit Rationing in Markets with Imperfect Information," American Economic Review, American Economic Association, vol. 71(3), pages 393-410, June.
    18. Haixia Wu & Hantao Hao & Hongzhen Lei & Yan Ge & Hengtong Shi & Yan Song, 2021. "Farm Size, Risk Aversion and Overuse of Fertilizer: The Heterogeneity of Large-Scale and Small-Scale Wheat Farmers in Northern China," Land, MDPI, vol. 10(2), pages 1-15, January.
    19. Leshan Yu & Yan Song & Haixia Wu & Hengtong Shi, 2023. "Credit Constraint, Interlinked Insurance and Credit Contract and Farmers’ Adoption of Innovative Seeds-Field Experiment of the Loess Plateau," Land, MDPI, vol. 12(2), pages 1-28, January.
    20. Wenying Peng & Yue Sun & Yingchen Li & Xiaojuan Yuchi, 2022. "An Evaluation and Promotion Strategy of Green Land Use Benefits in China: A Case Study of the Beijing–Tianjin–Hebei Region," Land, MDPI, vol. 11(8), pages 1-18, July.
    21. Lei Luo & Dakuan Qiao & Ruixin Zhang & Chenhao Luo & Xinhong Fu & Yuying Liu, 2022. "Research on the Influence of Education of Farmers’ Cooperatives on the Adoption of Green Prevention and Control Technologies by Members: Evidence from Rural China," IJERPH, MDPI, vol. 19(10), pages 1-17, May.
    22. Gunnsteinsson, Snaebjorn, 2020. "Experimental identification of asymmetric information: Evidence on crop insurance in the Philippines," Journal of Development Economics, Elsevier, vol. 144(C).
    23. Nihal Ahmed & Zeeshan Hamid & Farhan Mahboob & Khalil Ur Rehman & Muhammad Sibt e Ali & Piotr Senkus & Aneta Wysokińska-Senkus & Paweł Siemiński & Adam Skrzypek, 2022. "Causal Linkage among Agricultural Insurance, Air Pollution, and Agricultural Green Total Factor Productivity in United States: Pairwise Granger Causality Approach," Agriculture, MDPI, vol. 12(9), pages 1-17, August.
    24. Barry K. Goodwin, 2001. "Problems with Market Insurance in Agriculture," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 643-649.
    25. Feilong Weng & Xuan Liu & Xuexi Huo, 2023. "Impact of Internet Use on Farmers’ Organic Fertilizer Investment: A New Perspective of Access to Credit," Agriculture, MDPI, vol. 13(1), pages 1-13, January.
    26. Chunfang Yang & Hengyuan Zeng & Yifeng Zhang, 2022. "Are Socialized Services of Agricultural Green Production Conducive to the Reduction in Fertilizer Input? Empirical Evidence from Rural China," IJERPH, MDPI, vol. 19(22), pages 1-16, November.
    27. Mao, Hui & Zhou, Li & Ying, RuiYao & Pan, Dan, 2021. "Time Preferences and green agricultural technology adoption: Field evidence from rice farmers in China," Land Use Policy, Elsevier, vol. 109(C).
    28. 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.
    29. Wong, Ho Lun & Wei, Xiangdong & Kahsay, Haftom Bayray & Gebreegziabher, Zenebe & Gardebroek, Cornelis & Osgood, Daniel E. & Diro, Rahel, 2020. "Effects of input vouchers and rainfall insurance on agricultural production and household welfare: Experimental evidence from northern Ethiopia," World Development, Elsevier, vol. 135(C).
    30. Porteous, Obie, 2020. "Trade and agricultural technology adoption: Evidence from Africa," Journal of Development Economics, Elsevier, vol. 144(C).
    31. Jing Cai, 2016. "The Impact of Insurance Provision on Household Production and Financial Decisions," American Economic Journal: Economic Policy, American Economic Association, vol. 8(2), pages 44-88, May.
    32. Liang Chi & Shuqing Han & Meili Huan & Yajuan Li & Jifang Liu, 2022. "Land Fragmentation, Technology Adoption and Chemical Fertilizer Application: Evidence from China," IJERPH, MDPI, vol. 19(13), pages 1-17, July.
    33. Xinxin Zhou & Tong Chen & Bangbang Zhang, 2023. "Research on the Impact of Digital Agriculture Development on Agricultural Green Total Factor Productivity," Land, MDPI, vol. 12(1), pages 1-20, January.
    34. Abate, Gashaw Tadesse & Rashid, Shahidur & Borzaga, Carlo & Getnet, Kindie, 2016. "Rural Finance and Agricultural Technology Adoption in Ethiopia: Does the Institutional Design of Lending Organizations Matter?," World Development, Elsevier, vol. 84(C), pages 235-253.
    35. Stephen R. Boucher & Michael R. Carter & Catherine Guirkinger, 2008. "Risk Rationing and Wealth Effects in Credit Markets: Theory and Implications for Agricultural Development," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(2), pages 409-423.
    36. Han, Linghui & Hare, Denise, 2013. "The link between credit markets and self-employment choice among households in rural China," Journal of Asian Economics, Elsevier, vol. 26(C), pages 52-64.
    37. Barry K. Goodwin & Vincent H. Smith, 2013. "What Harm Is Done By Subsidizing Crop Insurance?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 95(2), pages 489-497.
    38. Xiaolong Sun & Jing Lyu & Candi Ge, 2022. "Knowledge and Farmers’ Adoption of Green Production Technologies: An Empirical Study on IPM Adoption Intention in Major Indica-Rice-Producing Areas in the Anhui Province of China," IJERPH, MDPI, vol. 19(21), pages 1-16, November.
    39. Gong, Tianchen (Charles) & Battese, George E. & Villano, Renato A., 2019. "Family farms plus cooperatives in China: Technical efficiency in crop production," Journal of Asian Economics, Elsevier, vol. 64(C), pages 1-1.
    40. Dungang Zang & Sen Yang & Fanghua Li, 2022. "The Relationship between Land Transfer and Agricultural Green Production: A Collaborative Test Based on Theory and Data," Agriculture, MDPI, vol. 12(11), pages 1-19, November.
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