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Resource basis, ecosystem and growth of grain family farm in China: Based on rough set theory and hierarchical linear model

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  • Gao, Yang
  • Zhang, Xiao
  • Wu, Lei
  • Yin, Shijiu
  • Lu, Jiao

Abstract

Based on resource-based theory and enterprise ecosystem theory, this paper used the sample of Huang-huai-hai plain 487 grain family farms, in the basis of attribute reduction by rough set theory, introduce the important individual-level and provincial-level factors into hierarchical linear model, in order to reveal different level factors affect growth of grain family farm in structural differences and interaction. The results showed that 65.68% of the differences were caused by individual-level factors, and 34.32% were caused by provincial-level factors. The factors at the individual level, including the improvement of production equipment (IPE), education of farmers (EOF), regularization of management rules (RMR), and difficulty level of getting loans (DLL), had positive effects on growth of family farm, whereas the frequency of staff participating in training (FST) had a negative effect. At provincial level, improvement of the support policy system (IDSPS) could strengthen the positive correlation between RMR and growth of family farm. Moreover, the factor IDSPS combined with ability of agricultural cooperatives providing social services (AACPS) and spacious degree of technology access channel (SDTAC) could strengthen the positive correlation between EOF and growth of family farm, and reduced the negative correlation between FST and dependent variable. The results suggested that government should support farms to improve production equipment and financing pattern, transfer the method of re-education of grain family farmers, promote the standardization of grain family farms, establish a sound policy support system, improve the social service ability of agricultural cooperatives, and broaden the channels of technology acquisition.

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  • Gao, Yang & Zhang, Xiao & Wu, Lei & Yin, Shijiu & Lu, Jiao, 2017. "Resource basis, ecosystem and growth of grain family farm in China: Based on rough set theory and hierarchical linear model," Agricultural Systems, Elsevier, vol. 154(C), pages 157-167.
    • Handle: RePEc:eee:agisys:v:154:y:2017:i:c:p:157-167
    DOI: 10.1016/j.agsy.2017.03.013
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    Cited by:

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    2. Huang, Yatao & Jiao, Wenxian & Wang, Kang & Li, Erling & Yan, Yutong & Chen, Jingyang & Guo, Xuanxuan, 2022. "Examining the multidimensional energy poverty trap and its determinants: An empirical analysis at household and community levels in six provinces of China," Energy Policy, Elsevier, vol. 169(C).
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    5. Chaozhu Li & Xiaoliang Li & Wei Jia, 2022. "Non-Farm Employment Experience, Risk Preferences, and Low-Carbon Agricultural Technology Adoption: Evidence from 1843 Grain Farmers in 14 Provinces in China," Agriculture, MDPI, vol. 13(1), pages 1-16, December.
    6. Yu, Lili & Zhao, Duanyang & Xue, Zihao & Gao, Yang, 2020. "Research on the use of digital finance and the adoption of green control techniques by family farms in China," Technology in Society, Elsevier, vol. 62(C).
    7. 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.
    8. Yinsheng Yang & Qianwei Zhuang & Guangdong Tian & Silin Wei, 2018. "A Management and Environmental Performance Evaluation of China’s Family Farms Using an Ultimate Comprehensive Cross-Efficiency Model (UCCE)," Sustainability, MDPI, vol. 11(1), pages 1-25, December.
    9. Da Fang & Yan Guo, 2021. "Induced Agricultural Production Organizations under the Transition of Rural Land Market: Evidence from China," Agriculture, MDPI, vol. 11(9), pages 1-24, September.
    10. Wang, Xiuyuan & Shen, Lei & Liu, Tingting & Wei, Wenwen & Zhang, Shuai & Tuerti, Tayir & Li, Luhua & Zhang, Wei, 2023. "Juvenile plumcot tree can improve fruit quality and economic benefits by intercropping with alfalfa in semi-arid areas," Agricultural Systems, Elsevier, vol. 205(C).
    11. Gao, Yang & Niu, Ziheng & Yang, Haoran & Yu, Lili, 2019. "Impact of green control techniques on family farms' welfare," Ecological Economics, Elsevier, vol. 161(C), pages 91-99.
    12. Mao, Hui & Quan, Yurong & Fu, Yong & Chen, Shaojian, 2022. "Risk preferences, productive investment and straw return technology adoption by farmers in China," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322087, Agricultural and Applied Economics Association.

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