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Sources of production growth in Chinese agriculture:empirical evidence from penal data results 2001–2018

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  • Wei Wang
  • Liwei Guo

Abstract

First of all, this article uses the regional panel data of Chinese agriculture ranging from 2001–2018 as samples, taking the relationship among the three, namely, factor allocation efficiency, biased technical progress and agricultural total factor productivity, as the entry point to systematically analyse the fluctuation of total factor productivity growth and its decomposition terms. Then, the bias index of technical progress and factor allocation are measured by relaxing the strict assumption of alternative elastic fixation and broadening the traditional hypothesis of neutral technical progress by using C-D functions, respectively. Finally, this article puts highlight on the following questions: What is the source of sustained growth of agricultural TFP at this stage? Which factor does the agricultural factor allocation efficiency depend on? Whether there are existing distortion and bias in agricultural factor allocation and if the bias of which is in step with agricultural-biased technical progress?

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  • Wei Wang & Liwei Guo, 2021. "Sources of production growth in Chinese agriculture:empirical evidence from penal data results 2001–2018," Applied Economics, Taylor & Francis Journals, vol. 53(44), pages 5135-5157, September.
    • Handle: RePEc:taf:applec:v:53:y:2021:i:44:p:5135-5157
    DOI: 10.1080/00036846.2021.1918626
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    Cited by:

    1. Shuhua Zhang & Bingjun Li & Yingjie Yang, 2021. "Efficiency Analysis of Scientific and Technological Innovation in Grain Production Based on Improved Grey Incidence Analysis," Agriculture, MDPI, vol. 11(12), pages 1-21, December.
    2. Vasilii Erokhin & Alexander Esaulko & Elena Pismennaya & Evgeny Golosnoy & Olga Vlasova & Anna Ivolga, 2021. "Combined Impact of Climate Change and Land Qualities on Winter Wheat Yield in Central Fore-Caucasus: The Long-Term Retrospective Study," Land, MDPI, vol. 10(12), pages 1-28, December.

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