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How Productive Services Affect Apple Production Technical Efficiency: Promote or Inhibit?

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  • Congying Zhang

    (College of Economics and Management, Northwest A&F University, Yangling 712100, Shaanxi, China
    Center of Western Rural Development, Northwest A&F University, Yangling 712100, Shaanxi, China)

  • Qian Chang

    (College of Economics and Management, Northwest A&F University, Yangling 712100, Shaanxi, China)

  • Xuexi Huo

    (College of Economics and Management, Northwest A&F University, Yangling 712100, Shaanxi, China
    Center of Western Rural Development, Northwest A&F University, Yangling 712100, Shaanxi, China)

Abstract

Agricultural productive services provide a new entry point to solve the “labor dilemma” and contributes to the sustainable development of the apple industry. In this study, we establish a random frontier model with the Translog production function to analyze the influence of productive services on the technical efficiency of apple production based on a microscopic survey data of 661 apple farmers. The results indicate that the purchasing proportions of productive services are obviously different among the different links of apple production, while those among different regions are not obvious. Overall, productive services have a positive effect on improving the technical efficiency of apple production, but productive services in different links have a different effect; specifically, productive services in the bagging link have a positive effect on the technical efficiency of apple production, productive services in the pest controlling link have a negative effect, and productive services in other links have no significant effect. We suggest that policymakers should promote the orderly development of agricultural productive services, focus on improving the popularity of productive services in bagging links, and improve the quality of productive services in the pest control link.

Suggested Citation

  • Congying Zhang & Qian Chang & Xuexi Huo, 2019. "How Productive Services Affect Apple Production Technical Efficiency: Promote or Inhibit?," Sustainability, MDPI, vol. 11(19), pages 1-15, September.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:19:p:5411-:d:272246
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    References listed on IDEAS

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    3. Qiangqiang Zhang & Beibei Yan & Xuexi Huo, 2018. "What Are the Effects of Participation in Production Outsourcing? Evidence from Chinese Apple Farmers," Sustainability, MDPI, vol. 10(12), pages 1-15, November.
    4. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
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    Cited by:

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    2. Runqi Lun & Qiyou Luo & Mingjie Gao & Guojing Li & Tengda Wei, 2023. "How to Break the Bottleneck of Potato Production Sustainable Growth—A Survey from Potato Main Producing Areas in China," Sustainability, MDPI, vol. 15(16), pages 1-16, August.
    3. Zhiyun Zhou & Haoling Liao & Hua Li, 2023. "The Symbiotic Mechanism of the Influence of Productive and Transactional Agricultural Social Services on the Use of Soil Testing and Formula Fertilization Technology by Tea Farmers," Agriculture, MDPI, vol. 13(9), pages 1-26, August.
    4. Yuxuan Xu & Jie Lyu & Ying Xue & Hongbin Liu, 2022. "Intentions of Farmers to Renew Productive Agricultural Service Contracts Using the Theory of Planned Behavior: An Empirical Study in Northeastern China," Agriculture, MDPI, vol. 12(9), pages 1-21, September.

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