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Dynamic and static analysis of agricultural productivity in China

Author

Listed:
  • Panpan Diao
  • Zhonggen Zhang
  • Zhenyong Jin

Abstract

Purpose - The purpose of this paper is to analyze agricultural total factor productivity (TFP) and input redundancies in different regions of China, and to bring out the policy implications for improving efficiency in agricultural production as well as environment protection. Design/methodology/approach - Based on the provincial panel data during 1995-2014, the agricultural productivity of China and its regional disparity are analyzed. First, the agricultural TFP and its decomposition are dynamically evaluated by means of data envelopment analysis-Malmquist productivity index. Second, the agricultural radial production efficiency in year 2014 and the input redundancy changes from 1995 to 2014 are measured based on the BCC-slacks-based measure model. Findings - The results showed that the overall agricultural TFP of China grew 4.3 percent annually during 1995-2014, mainly as a result of technical progress. However, the declines of technical efficiency and scale efficiency slowed down the agricultural TFP growth. The TFP growth in the Western region and Central region far exceeded the Eastern region in last few years. In 2014, most effective decision-making units were in the Western region. The input redundancies in the agricultural production increased substantially after 2006, especially for the pesticide use amount, reservoir capacity and agricultural machinery power. Originality/value - Combining the dynamic and static analyses, the paper fulfilled the study of China’s agricultural productivity and the input redundancies in recent years, and also presented the regional disparities.

Suggested Citation

  • Panpan Diao & Zhonggen Zhang & Zhenyong Jin, 2018. "Dynamic and static analysis of agricultural productivity in China," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 10(2), pages 293-312, May.
  • Handle: RePEc:eme:caerpp:caer-08-2015-0095
    DOI: 10.1108/CAER-08-2015-0095
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    Citations

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    Cited by:

    1. Morteza Zangeneh & Narges Banaeian & Sean Clark, 2021. "Meta-Analysis on Energy-Use Patterns of Cropping Systems in Iran," Sustainability, MDPI, vol. 13(7), pages 1-28, March.
    2. Zhen Shi & Huinan Huang & Yingju Wu & Yung-Ho Chiu & Shijiong Qin, 2020. "Climate Change Impacts on Agricultural Production and Crop Disaster Area in China," IJERPH, MDPI, vol. 17(13), pages 1-23, July.
    3. Hongyun Zheng & Wanglin Ma, 2021. "The role of resource reallocation in promoting total factor productivity growth: Insights from China’s agricultural sector," Review of Development Economics, Wiley Blackwell, vol. 25(4), pages 2350-2371, November.
    4. Ito, Junichi & Li, Xinyi, 2023. "Interplay between China’s grain self-sufficiency policy shifts and interregional, intertemporal productivity differences," Food Policy, Elsevier, vol. 117(C).
    5. Yi-Xuan Lu & Si-Ting Wang & Guan-Xin Yao & Jing Xu, 2023. "Green Total Factor Efficiency in Vegetable Production: A Comprehensive Ecological Analysis of China’s Practices," Agriculture, MDPI, vol. 13(10), pages 1-25, October.
    6. Pengfei Ge & Tan Liu & Xiaoxu Wu & Xiulu Huang, 2023. "Heterogenous Urbanization and Agricultural Green Development Efficiency: Evidence from China," Sustainability, MDPI, vol. 15(7), pages 1-22, March.
    7. Xuelan Li & Rui Guan, 2023. "How Does Agricultural Mechanization Service Affect Agricultural Green Transformation in China?," IJERPH, MDPI, vol. 20(2), pages 1-23, January.
    8. Zhuohui Yu & Qingning Lin & Changli Huang, 2022. "Re-Measurement of Agriculture Green Total Factor Productivity in China from a Carbon Sink Perspective," Agriculture, MDPI, vol. 12(12), pages 1-26, November.
    9. Souza, Geraldo da Silva e & Gomes, Eliane Gonçalves & Alves, Eliseu Roberto de Andrade & Gasques, José Garcia, 2020. "Technological progress in the Brazilian agriculture," Socio-Economic Planning Sciences, Elsevier, vol. 72(C).
    10. Dongdong Lu & Zilong Wang, 2023. "Towards green economic recovery: how to improve green total factor productivity," Economic Change and Restructuring, Springer, vol. 56(5), pages 3163-3185, October.
    11. Zhu, Ning & Streimikis, Justas & Yu, Zhiqian & Balezentis, Tomas, 2023. "Energy-sustainable agriculture in the European Union member states: Overall productivity growth and structural efficiency," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    12. Haiyang Shang & Ying Feng & Ching-Cheng Lu & Chih-Yu Yang, 2023. "The Impact of Optimizing Industrial Energy Efficiency on Agricultural Development in OECD Countries," Sustainability, MDPI, vol. 15(7), pages 1-17, March.

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