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Factors Influencing the Adoption of Agricultural Machinery by Chinese Maize Farmers

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  • Xiuhao Quan

    (Department of Computer Applications and Business Management in Agriculture, Institute of Farm Management, University of Hohenheim, Schwerzstr. 46, 70599 Stuttgart, Germany)

  • Reiner Doluschitz

    (Institute of Farm Management, University of Hohenheim, Schwerzstr. 46, 70599 Stuttgart, Germany)

Abstract

As the major labor force has shifted from rural areas to cities, labor shortages in agricultural production have resulted. In the context of technical progress impact, and depending on farm resource endowments, farmers will choose effective labor saving technology such as machinery to substitute for the missing manual labor. The reasons behind farmers’ adoption of machinery technology are worth exploring. Therefore, this study uses 4165 Chinese maize farmers as the target group. Multivariate probit models were performed to identify the factors that affect maize farmers’ adoption of four machinery technologies as well as the interrelation between these adoption decisions. The empirical results indicate that maize sowing area, arable land area, crop diversity, family labor, subsidy, technical assistance, and economies of scale have positive effects on machinery adoption, while the number of discrete fields in the farm has a negative impact. Maize farmers in the Northeast and North have higher machinery adoption odds than other regions. The adoption of these four machinery technologies are interrelated and complementary. Finally, moderate scale production, crop diversification, subsidizing agricultural machinery and its extension education, and land consolidation, are given as recommendations for promoting the adoption of agricultural machinery by Chinese maize farmers.

Suggested Citation

  • Xiuhao Quan & Reiner Doluschitz, 2021. "Factors Influencing the Adoption of Agricultural Machinery by Chinese Maize Farmers," Agriculture, MDPI, vol. 11(11), pages 1-11, November.
  • Handle: RePEc:gam:jagris:v:11:y:2021:i:11:p:1090-:d:671794
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    References listed on IDEAS

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    1. Xiaoshi Zhou & Wanglin Ma & Gucheng Li & Huanguang Qiu, 2020. "Farm machinery use and maize yields in China: an analysis accounting for selection bias and heterogeneity," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(4), pages 1282-1307, October.
    2. Wang, Xiaobing & Yamauchi, Futoshi & Otsuka, Keijiro & Huang, Jikun, 2016. "Wage Growth, Landholding, and Mechanization in Chinese Agriculture," World Development, Elsevier, vol. 86(C), pages 30-45.
    3. Yi Qing & Moyu Chen & Yu Sheng & Jikun Huang, 2019. "Mechanization services, farm productivity and institutional innovation in China," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 11(3), pages 536-554, June.
    4. Menale Kassie & Precious Zikhali & Kebede Manjur & Sue Edwards, 2009. "Adoption of sustainable agriculture practices: Evidence from a semi‐arid region of Ethiopia," Natural Resources Forum, Blackwell Publishing, vol. 33(3), pages 189-198, August.
    5. Yi, Q., 2018. "Adoption of Agricultural Mechanization Services among Maize Farmers in China: Impacts of Population Aging and Off-farm Employment," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277541, International Association of Agricultural Economists.
    6. Ma, Wanglin & Renwick, Alan & Grafton, Quentin, 2018. "Farm machinery use, off-farm employment and farm performance in China," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 62(2), April.
    7. Xiaobing Wang & Futoshi Yamauchi & Jikun Huang, 2016. "Rising wages, mechanization, and the substitution between capital and labor: evidence from small scale farm system in China," Agricultural Economics, International Association of Agricultural Economists, vol. 47(3), pages 309-317, May.
    8. Wang, Xiaobing & Yamauchi, Futoshi & Huang, Jikun & Rozelle, Scott, 2020. "What constrains mechanization in Chinese agriculture? Role of farm size and fragmentation," China Economic Review, Elsevier, vol. 62(C).
    9. Wanglin Ma & Alan Renwick & Quentin Grafton, 2018. "Farm machinery use, off†farm employment and farm performance in China," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 62(2), pages 279-298, April.
    10. Mishra, Ashok K. & Park, Timothy A., 2005. "An Empirical Analysis of Internet Use by U.S. Farmers," Agricultural and Resource Economics Review, Cambridge University Press, vol. 34(2), pages 253-264, October.
    11. Wei Li & Xipan Wei & Ruixiang Zhu & Kangquan Guo, 2018. "Study on Factors Affecting the Agricultural Mechanization Level in China Based on Structural Equation Modeling," Sustainability, MDPI, vol. 11(1), pages 1-16, December.
    12. Lai, Wangyang & Roe, Brian & Liu, Yumei, 2015. "Estimating the Effect of Land Fragmentation on Machinery Use and Crop Production," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205280, Agricultural and Applied Economics Association.
    13. Meng, Erika C.H. & Hu, Ruifa & Shi, Xiaohua & Zhang, Shihuang, 2006. "Maize in China: Production Systems, Constraints, and Research Priorities," Maize Production Systems Papers 7648, CIMMYT: International Maize and Wheat Improvement Center.
    14. Duffy, Michael, 2009. "Economies of Size in Production Agriculture," Staff General Research Papers Archive 31282, Iowa State University, Department of Economics.
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