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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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    1. Fernandes, Lúcio André de O. & Woodhouse, Philip J., 2008. "Family farm sustainability in southern Brazil: An application of agri-environmental indicators," Ecological Economics, Elsevier, vol. 66(2-3), pages 243-257, June.
    2. Ping-Feng Pai & Fong-Chuan Lee, 2010. "A Rough Set Based Model in Water Quality Analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(11), pages 2405-2418, September.
    3. Stephen W. Raudenbush, 1988. "Educational Applications of Hierarchical Linear Models: A Review," Journal of Educational and Behavioral Statistics, , vol. 13(2), pages 85-116, June.
    4. Malte Reimers & Stephan Klasen, 2013. "Revisiting the Role of Education for Agricultural Productivity," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 95(1), pages 131-152.
    5. Ito, Junichi & Bao, Zongshun & Su, Qun, 2012. "Distributional effects of agricultural cooperatives in China: Exclusion of smallholders and potential gains on participation," Food Policy, Elsevier, vol. 37(6), pages 700-709.
    6. Chen, Duan-Rung & Wen, Tzai-Hung, 2010. "Socio-spatial patterns of neighborhood effects on adult obesity in Taiwan: A multi-level model," Social Science & Medicine, Elsevier, vol. 70(6), pages 823-833, March.
    7. Rupert Friederichsen & Thai Minh & Andreas Neef & Volker Hoffmann, 2013. "Adapting the innovation systems approach to agricultural development in Vietnam: challenges to the public extension service," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 30(4), pages 555-568, December.
    8. Chen, Yanchun & Zhao, Suisheng & Cheng, Gong & Shang, Huiwen & Zhao, Yongke, 2015. "Empirical Study on Formation Path of Family Farms in Different Environments from the Perspective of ANT," Asian Agricultural Research, USA-China Science and Culture Media Corporation, vol. 7(06), pages 1-7, June.
    9. Aziz Karimov, 2014. "Factors affecting efficiency of cotton producers in rural Khorezm, Uzbekistan: Re-examining the role of knowledge indicators in technical efficiency improvement," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 2(1), pages 1-16, December.
    10. Dogliotti, S. & García, M.C. & Peluffo, S. & Dieste, J.P. & Pedemonte, A.J. & Bacigalupe, G.F. & Scarlato, M. & Alliaume, F. & Alvarez, J. & Chiappe, M. & Rossing, W.A.H., 2014. "Co-innovation of family farm systems: A systems approach to sustainable agriculture," Agricultural Systems, Elsevier, vol. 126(C), pages 76-86.
    11. Abebaw, Degnet & Haile, Mekbib G., 2013. "The impact of cooperatives on agricultural technology adoption: Empirical evidence from Ethiopia," Food Policy, Elsevier, vol. 38(C), pages 82-91.
    12. Sitakanta Panda, 2015. "Farmer education and household agricultural income in rural India," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 42(6), pages 514-529, June.
    13. Ogundari, Kolawole, 2014. "The Paradigm of Agricultural Efficiency and its Implication on Food Security in Africa: What Does Meta-analysis Reveal?," World Development, Elsevier, vol. 64(C), pages 690-702.
    14. Sandhu, Harpinder S. & Crossman, Neville D. & Smith, F. Patrick, 2012. "Ecosystem services and Australian agricultural enterprises," Ecological Economics, Elsevier, vol. 74(C), pages 19-26.
    15. Jane Glover, 2010. "Capital Usage in Adverse Situations: Applying Bourdieu’s Theory of Capital to Family Farm Businesses," Journal of Family and Economic Issues, Springer, vol. 31(4), pages 485-497, December.
    16. Sudha, M. & Valarmathi, B., 2014. "Rainfall Forecast Analysis using Rough Set Attribute Reduction and Data Mining Methods," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 6(4), pages 1-10, December.
    17. Briones, Roehlano M., 2015. "Small Farmers in High-Value Chains: Binding or Relaxing Constraints to Inclusive Growth?," World Development, Elsevier, vol. 72(C), pages 43-52.
    18. Bing‐Sheng Teng, 2007. "Corporate Entrepreneurship Activities through Strategic Alliances: A Resource‐Based Approach toward Competitive Advantage," Journal of Management Studies, Wiley Blackwell, vol. 44(1), pages 119-142, January.
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    5. 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).
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    7. 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.
    8. 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.
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    11. Jiang, Yankun & Han, Guanghe & Yu, Dan, 2024. "Digital finance and agricultural green total factor productivity: the mediating role of digital village development," Finance Research Letters, Elsevier, vol. 67(PB).
    12. 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.
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