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Determinants and Differences of Grain Production Efficiency Between Main and Non-Main Producing Area in China

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  • Furong Chen

    (Chinese Academy of Agricultural Sciences, Institute of Agricultural Economics and Development, Beijing 100089, China)

  • Yifu Zhao

    (Chinese Academy of Agricultural Sciences, Institute of Agricultural Economics and Development, Beijing 100089, China)

Abstract

This paper investigated the determinants, especially labor transformation, and differences of technical efficiency between main and non-main grain-producing area in China based on a panel data from 30 provinces in the period of 2001–2017. Stochastic frontier production function was used to estimate the level of technical efficiency and the marginal productivity of different inputs. The estimated results showed that land is the most important factor to improve China’s grain output, followed by fertilizers, labor, and machinery inputs. There was a significant 4.6 percent gap of production efficiency between main and non-main producing provinces. Influence of rural labor transformation was confirmed to be positive to improve technical efficiency.

Suggested Citation

  • Furong Chen & Yifu Zhao, 2019. "Determinants and Differences of Grain Production Efficiency Between Main and Non-Main Producing Area in China," Sustainability, MDPI, vol. 11(19), pages 1-14, September.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:19:p:5225-:d:270116
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    References listed on IDEAS

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    2. Hui Luo & Zhaomin Hu & Xiuping Hao & Nawab Khan & Xiaojie Liu, 2022. "Assessment and Comparison of Agricultural Technology Development under Different Farmland Management Modes: A Case Study of Grain Production, China," Land, MDPI, vol. 11(11), pages 1-24, October.
    3. Md Harun Or Rosid & Zhao Xuefeng & Sk Alamgir Hossain & Mohammad Raihanul Hasan & Md Reza Sultanuzzaman, 2021. "The Impact of GDP on Cross-Country Efficiency in Wealth Maximization: a Joint Analysis Through the Stochastic Frontier and Generalized Method of Moments," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 11(1), pages 1-6.
    4. Hao Chen & Juanjuan Cao & Hongge Zhu & Yufang Wang, 2022. "Understanding Household Vulnerability and Relative Poverty in Forestry Transition: A Study on Forestry-Worker Families in China’s Greater Khingan Mountains State-Owned Forest Region," Sustainability, MDPI, vol. 14(9), pages 1-18, April.

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