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Uncovering the Deviation of Farmers’ Green Manure Planting Willingness and Behavior

Author

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  • Jing Ren

    (Institute of Agriculture Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China)

  • Fuduo Li

    (Institute of Agriculture Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China)

  • Changbin Yin

    (Institute of Agriculture Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China)

  • Jiudong Zhang

    (Institute of Soil Fertilizer and Water-Saving Agriculture, Gansu Academy of Agricultural Sciences, Lanzhou 730000, China)

Abstract

Planting green manure is an effective way to improve the agricultural environment and the quality of cultivated land in China. However, deviation from green manure planting willingness and behavior (DWB) becomes a serious obstacle to the promotion of green manure planting technology. For economic farmers, whether to plant green manure is a rational choice made after weighing up family endowments. In addition, ecological cognition plays a moderating role in the “willingness-behavior” transformation process of farmers’ green manure planting on the basis of family endowments. We selected four counties in which to conduct a questionnaire survey in Gansu and carried out interviews with 375 farmers. Based on the survey data, our study identified determinants that influence farmers’ DWB and examined the moderating effect of ecological cognition. In our paper, results show that the probability of farmers’ DWB is 41.87%. Farmers’ DWB is not only negatively affected by social network information and ecological compensation (eco-compensation) and positively influenced by the scale of cultivated land, but also restricted by human capital endowment characteristics such as age and education. In addition, ecological cognition played a significant moderating effect on farmers’ DWB. Farmers with high ecological cognition were more aware and capable of promoting green manure planting intentions into practice. Furthermore, different groups of farmers had different characteristics of DWB. The findings are useful and helpful in better understand the influencing factors of farmers’ DWB for policy makers and managers and can provide some effective support for policies designed to encourage farmers to adopt more sustainable green manure.

Suggested Citation

  • Jing Ren & Fuduo Li & Changbin Yin & Jiudong Zhang, 2022. "Uncovering the Deviation of Farmers’ Green Manure Planting Willingness and Behavior," Sustainability, MDPI, vol. 14(21), pages 1-19, November.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:21:p:14315-:d:960906
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    1. Démurger, Sylvie & Xu, Hui, 2011. "Return Migrants: The Rise of New Entrepreneurs in Rural China," World Development, Elsevier, vol. 39(10), pages 1847-1861.
    2. Foster, Andrew D & Rosenzweig, Mark R, 1995. "Learning by Doing and Learning from Others: Human Capital and Technical Change in Agriculture," Journal of Political Economy, University of Chicago Press, vol. 103(6), pages 1176-1209, December.
    3. Huffman, Wallace E. & Orazem, Peter F., 2004. "The Role of Agriculture and Human Capital in Economic Growth: Farmers, Schooling, and Health," Working Papers 18202, Iowa State University, Department of Economics.
    4. Miranowski, John & Shortle, J., 1986. "Effects of Risk Perceptions and Other Characteristics of Farmers and Farm Operations on the Adoption of Conservation Tillage Practices," Staff General Research Papers Archive 10703, Iowa State University, Department of Economics.
    5. Feder, Gershon, 1980. "Farm Size, Risk Aversion and the Adoption of New Technology under Uncertainty," Oxford Economic Papers, Oxford University Press, vol. 32(2), pages 263-283, July.
    6. Aloyce R.M. Kaliba & Allen M. Featherstone & David W. Norman, 1997. "A stall‐feeding management for improved cattle in semiarid central Tanzania: factors influencing adoption," Agricultural Economics, International Association of Agricultural Economists, vol. 17(2-3), pages 133-146, December.
    7. Gao, Yang & Liu, Bei & Yu, Lili & Yang, Haoran & Yin, Shijiu, 2019. "Social capital, land tenure and the adoption of green control techniques by family farms: Evidence from Shandong and Henan Provinces of China," Land Use Policy, Elsevier, vol. 89(C).
    8. Dinar, Ariel & Yaron, Dan, 1992. "Adoption and abandonment of irrigation technologies," Agricultural Economics, Blackwell, vol. 6(4), pages 315-332, April.
    9. 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.
    10. Timothy Besley & Anne Case, 1995. "Does Electoral Accountability Affect Economic Policy Choices? Evidence from Gubernatorial Term Limits," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(3), pages 769-798.
    11. Ariel Dinar & Dan Yaron, 1992. "Adoption and abandonment of irrigation technologies," Agricultural Economics, International Association of Agricultural Economists, vol. 6(4), pages 315-332, April.
    12. Kotchen, Matthew J. & Reiling, Stephen D., 2000. "Environmental attitudes, motivations, and contingent valuation of nonuse values: a case study involving endangered species," Ecological Economics, Elsevier, vol. 32(1), pages 93-107, January.
    13. Oluwatoba J Omotilewa & Jacob Ricker-Gilbert & John Herbert Ainembabazi, 2019. "Subsidies for Agricultural Technology Adoption: Evidence from a Randomized Experiment with Improved Grain Storage Bags in Uganda," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 101(3), pages 753-772.
    14. Leonard Ntakirutimana & Fuduo Li & Xianlei Huang & Shu Wang & Changbin Yin, 2019. "Green Manure Planting Incentive Measures of Local Authorities and Farmers’ Perceptions of the Utilization of Rotation Fallow for Sustainable Agriculture in Guangxi, China," Sustainability, MDPI, vol. 11(10), pages 1-14, May.
    15. Bebbington, Anthony, 1999. "Capitals and Capabilities: A Framework for Analyzing Peasant Viability, Rural Livelihoods and Poverty," World Development, Elsevier, vol. 27(12), pages 2021-2044, December.
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    Cited by:

    1. Zejun He & Yunfei Jia & Yifan Ji, 2023. "Analysis of Influencing Factors and Mechanism of Farmers’ Green Production Behaviors in China," IJERPH, MDPI, vol. 20(2), pages 1-25, January.

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