Acta Agriculturae Zhejiangensis ›› 2022, Vol. 34 ›› Issue (2): 409-418.DOI: 10.3969/j.issn.1004-1524.2022.02.23

• Agricultural Economy and Development • Previous Articles    

An empirical study on organic connection between smallholder farmers and modern agriculture from perspective of technological progress: based on panel data of 336 households of beekeepers at national micro fixed observation points

CHEN Yongpeng(), LUO Hui, ZHAO Zhijun*()   

  1. Institute of Agricultural Economics and Development, Chinese Academy of Agricultural Sciences, Beijing 100081, China
  • Received:2021-03-10 Online:2022-02-25 Published:2022-03-02
  • Contact: ZHAO Zhijun

Abstract:

Based on the stochastic frontier analysis framework, this study took apiculture as an example to conduct quantitative analysis on the technological progress rate and factor elasticity of 336 household beekeepers panel data from six periods of fixed observation points of the national apicutlture system from 2014 to 2019. From the perspective of technological progress, we deeply analyzed the degree of convergence between Chinese beekeepers and modern agriculture. It was found that the general technological progress rate of China’s apiculture was only 0.3% in 2014-2019, and the growth of the output value of apiculture was mainly dependent on the input of factors, and the connection level between smallholder beekeepers and modern agriculture was relatively low. Based on this, corresponding policy suggestions to promote their organic connection level were put forward.Firstly, strengthen the training of new professional beekeepers and improve their own level. Secondly, promote the research and development of cost-saving, efficiency and quality-improving beekeeping technologies. Finally, standardize the connection mechanism of risk and benefit sharing between beekeepers and cooperatives, and promote the formation of a high-quality and good price mechanism in the honey market.

Key words: apiculture, modern agriculture, technological progress rate, stochastic frontier analysis

CLC Number: