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Does Farmers’ Lottery Participation Affect Technical Efficiency of Banana Production in Rural China?

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  • Mingze Wu

    (College of Economics and Management, South China Agricultural University, Guangzhou 510642, China
    Management School, Hainan University, Haikou 570228, China)

  • Yueji Zhu

    (Management School, Hainan University, Haikou 570228, China)

Abstract

Increasing the agricultural technical efficiency is crucial to poverty reduction for smallholder farmers in developing countries. This study attempts to examine the impact of farmers’ lottery participation on technical efficiency from the perspective of the farmers’ revealed risk preferences, and to explore the influence mechanism between lottery participation and technical efficiency, based on the primary data collected from banana farmers in rural China. We used data envelopment analysis (DEA) to measure the combined technical efficiency of the farmers and constructed an endogenous switching regressions (ESR) model to analyse the impact of lottery participation on the technical efficiency of banana farms. A quantile regression model was used to analyse the heterogeneous effects under the different levels of the farmers’ technical efficiency. Then, a mediation model was employed to clarify the influence mechanism of lottery participation on technical efficiency in terms of two pathways: the adoption of biopesticide and the soil improvement technique. The empirical results show that farmers’ lottery participation revealed their risk preferences and several factors affected banana farmers’ participation in the lottery. Specifically, male farmers are more likely to participated in the lottery than female; farmers’ working hours negatively affected their lottery participation; and the use of a smartphone significantly increased the likelihood of farmers buying lottery tickets. We also found that farmers who participate in the lottery have higher technical efficiency in banana production, and the average treatment effect of lottery participation on the technical efficiency was 21.5%, indicating that the farmers with revealed risk preferences can significantly promote technical efficiency. The effect of risk preferences on economic performance is more significant for farmers at the middle technical efficiency level. The explanation is that the adoption of new technologies (e.g., biopesticides) played a mediating effect between farmers’ lottery participation and their technical efficiency. New technologies are more likely to be adopted by farmers who participate in the lottery, resulting in higher technical efficiency. Therefore, policymakers and stakeholders can better design technology extension programs according to the different attitudes of the target farmers towards risks in developing regions.

Suggested Citation

  • Mingze Wu & Yueji Zhu, 2023. "Does Farmers’ Lottery Participation Affect Technical Efficiency of Banana Production in Rural China?," Agriculture, MDPI, vol. 13(4), pages 1-17, March.
    • Handle: RePEc:gam:jagris:v:13:y:2023:i:4:p:767-:d:1107692
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    as
    1. Arata, Linda & Donati, Michele & Sckokai, Paolo & Arfini, Filippo, 2017. "Incorporating risk in a positive mathematical programming framework: a dual approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 61(2), April.
    2. Matteo Picchio & Sigrid Suetens & Jan C. van Ours, 2018. "Labour Supply Effects of Winning a Lottery," Economic Journal, Royal Economic Society, vol. 128(611), pages 1700-1729, June.
    3. Hans P. Binswanger, 1980. "Attitudes Toward Risk: Experimental Measurement in Rural India," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 62(3), pages 395-407.
    4. Mao, Hui & Zhou, Li & Ifft, Jennifer & Ying, RuiYao, 2019. "Risk preferences, production contracts and technology adoption by broiler farmers in China," China Economic Review, Elsevier, vol. 54(C), pages 147-159.
    5. Pokrivcak, J. & Michalek, J. & Ciaian, P., 2018. "The impact of producer organisations on farm performance: A case study of large farms in Slovakia," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277485, International Association of Agricultural Economists.
    6. Elahi, Ehsan & Khalid, Zainab & Weijun, Cui & Zhang, Huiming, 2020. "The public policy of agricultural land allotment to agrarians and its impact on crop productivity in Punjab province of Pakistan," Land Use Policy, Elsevier, vol. 90(C).
    7. Wanglin Ma & Awudu Abdulai, 2018. "IPM adoption, cooperative membership and farm economic performance," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 11(2), pages 218-236, September.
    8. Ayerst, Stephen & Brandt, Loren & Restuccia, Diego, 2020. "Market constraints, misallocation, and productivity in Vietnam agriculture," Food Policy, Elsevier, vol. 94(C).
    9. Wanglin Ma & Hongyun Zheng & Yueji Zhu & Jianling Qi, 2022. "Effects of cooperative membership on financial performance of banana farmers in China: A heterogeneous analysis," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 93(1), pages 5-27, March.
    10. Agarwal, Bina, 2018. "Can group farms outperform individual family farms? Empirical insights from India," World Development, Elsevier, vol. 108(C), pages 57-73.
    11. Kangogo, Daniel & Dentoni, Domenico & Bijman, Jos, 2021. "Adoption of climate‐smart agriculture among smallholder farmers: Does farmer entrepreneurship matter?," Land Use Policy, Elsevier, vol. 109(C).
    12. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    13. Ma, Wanglin & Renwick, Alan & Yuan, Peng & Ratna, Nazmun, 2018. "Agricultural cooperative membership and technical efficiency of apple farmers in China: An analysis accounting for selectivity bias," Food Policy, Elsevier, vol. 81(C), pages 122-132.
    14. Shah, Hassnain & Siderius, Christian & Hellegers, Petra, 2020. "Cost and effectiveness of in-season strategies for coping with weather variability in Pakistan's agriculture," Agricultural Systems, Elsevier, vol. 178(C).
    15. Donata Tania Vergura, 2015. "The Antecedents Of Gambling Behaviour From A Social Marketing Perspective," Journal of Gambling Business and Economics, University of Buckingham Press, vol. 9(1), pages 1-12.
    16. Lee, Lung-Fei, 1978. "Unionism and Wage Rates: A Simultaneous Equations Model with Qualitative and Limited Dependent Variables," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 19(2), pages 415-433, June.
    17. Yu Sheng & Jiping Ding & Jikun Huang, 2019. "The Relationship between Farm Size and Productivity in Agriculture: Evidence from Maize Production in Northern China," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 101(3), pages 790-806.
    18. Teklewold, Hailemariam & Kassie, Menale & Shiferaw, Bekele & Köhlin, Gunnar, 2013. "Cropping system diversification, conservation tillage and modern seed adoption in Ethiopia: Impacts on household income, agrochemical use and demand for labor," Ecological Economics, Elsevier, vol. 93(C), pages 85-93.
    19. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    20. Ivanic, Maros & Martin, Will, 2018. "Sectoral Productivity Growth and Poverty Reduction: National and Global Impacts," World Development, Elsevier, vol. 109(C), pages 429-439.
    21. Mellor, John W. & Malik, Sohail J., 2017. "The Impact of Growth in Small Commercial Farm Productivity on Rural Poverty Reduction," World Development, Elsevier, vol. 91(C), pages 1-10.
    22. Fanglei Zhong & Lili Li & Aijun Guo & Xiaoyu Song & Qingping Cheng & Yongnian Zhang & Xiaojiang Ding, 2019. "Quantifying the Influence Path of Water Conservation Awareness on Water-Saving Irrigation Behavior Based on the Theory of Planned Behavior and Structural Equation Modeling: A Case Study from Northwest," Sustainability, MDPI, vol. 11(18), pages 1-16, September.
    23. repec:oup:apecpp:v:40:y:2018:i:3:p:353-378. is not listed on IDEAS
    24. Kassas, Bachir & Palma, Marco A. & Porter, Maria, 2022. "Happy to take some risk: Estimating the effect of induced emotions on risk preferences," Journal of Economic Psychology, Elsevier, vol. 91(C).
    25. Theodore W. Schultz, 1966. "Transforming Traditional Agriculture: Reply," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 48(4_Part_I), pages 1015-1018.
    26. Min, Shi & Liu, Min & Huang, Jikun, 2020. "Does the application of ICTs facilitate rural economic transformation in China? Empirical evidence from the use of smartphones among farmers," Journal of Asian Economics, Elsevier, vol. 70(C).
    27. Ayuya, Oscar I. & Gido, Eric O. & Bett, Hillary K. & Lagat, Job K. & Kahi, Alexander K. & Bauer, Siegfried, 2015. "Effect of Certified Organic Production Systems on Poverty among Smallholder Farmers: Empirical Evidence from Kenya," World Development, Elsevier, vol. 67(C), pages 27-37.
    28. Liu, Jing & Jin, Xiaobin & Xu, Weiyi & Sun, Rui & Han, Bo & Yang, Xuhong & Gu, Zhengming & Xu, Cuilan & Sui, Xueyan & Zhou, Yinkang, 2019. "Influential factors and classification of cultivated land fragmentation, and implications for future land consolidation: A case study of Jiangsu Province in eastern China," Land Use Policy, Elsevier, vol. 88(C).
    29. Klomp, Jeroen & Hoogezand, Barry, 2018. "Natural disasters and agricultural protection: A panel data analysis," World Development, Elsevier, vol. 104(C), pages 404-417.
    30. Hao, Jinghui & Bijman, Jos & Gardebroek, Cornelis & Heerink, Nico & Heijman, Wim & Huo, Xuexi, 2018. "Cooperative membership and farmers’ choice of marketing channels – Evidence from apple farmers in Shaanxi and Shandong Provinces, China," Food Policy, Elsevier, vol. 74(C), pages 53-64.
    31. Ratana Sapbamrer & Ajchamon Thammachai, 2021. "A Systematic Review of Factors Influencing Farmers’ Adoption of Organic Farming," Sustainability, MDPI, vol. 13(7), pages 1-28, March.
    32. Zhou, Yang & Guo, Liying & Liu, Yansui, 2019. "Land consolidation boosting poverty alleviation in China: Theory and practice," Land Use Policy, Elsevier, vol. 82(C), pages 339-348.
    33. Michalek, Jerzy & Ciaian, Pavel & Pokrivcak, Jan, 2018. "The impact of producer organizations on farm performance: The case study of large farms from Slovakia☆," Food Policy, Elsevier, vol. 75(C), pages 80-92.
    34. Holden, Stein T. & Otsuka, Keijiro, 2014. "The roles of land tenure reforms and land markets in the context of population growth and land use intensification in Africa," Food Policy, Elsevier, vol. 48(C), pages 88-97.
    35. Yang, Ran & Chen, Tong & Chen, Qiao, 2018. "The impact of lotteries on cooperation in the public goods game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 925-934.
    36. Jeffrey M. Wooldridge, 2015. "Control Function Methods in Applied Econometrics," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 420-445.
    37. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    38. Wang, Jieyong & Zhang, Ziwen & Liu, Yansui, 2018. "Spatial shifts in grain production increases in China and implications for food security," Land Use Policy, Elsevier, vol. 74(C), pages 204-213.
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