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An Analysis of Agricultural Production Efficiency of Yangtze River Economic Belt Based on a Three-Stage DEA Malmquist Model

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  • Zhiwei Pan

    (School of Management Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China)

  • Decai Tang

    (School of Management Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China
    China Institute of Manufacturing Development, Nanjing University of Information Science & Technology, Nanjing 210044, China)

  • Haojia Kong

    (School of Economics and Management, Nanjing University of Science & Technology, Nanjing 210000, China)

  • Junxia He

    (School of Management Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China)

Abstract

The Yangtze River Economic Belt (YREB) is a major national strategic development area in China, and the development of the YREB will greatly promote the development of the entirety China, so research on its agricultural production efficiency is also of great significance. This paper is committed to studying the agricultural production efficiency of 11 provinces in the YREB and adopts a combination of the Data Envelopment Analysis (DEA) model and the Malmquist index to make a dynamic and static analysis on the YREB’s agricultural production efficiency from 2010 to 2019. Then, a three-stage DEA Malmquist model that eliminates the factors of random interference and management inefficiency is compared to a model without elimination. The results show that the adjusted technological efficiency changes, technological progress, and total factor productivity increased by −0.1%, 0.24%, and 0.22%, respectively. When comparing these values to the pre-adjustment values, the results indicate that the effect of environmental variables cannot be ignored when studying the agricultural production efficiency of the YREB. At the same time, the differences in the agricultural production efficiency in the YREB are reasonably explained, and feasible suggestions are put forward.

Suggested Citation

  • Zhiwei Pan & Decai Tang & Haojia Kong & Junxia He, 2022. "An Analysis of Agricultural Production Efficiency of Yangtze River Economic Belt Based on a Three-Stage DEA Malmquist Model," IJERPH, MDPI, vol. 19(2), pages 1-15, January.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:2:p:958-:d:725498
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    References listed on IDEAS

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    1. Decai Tang & Yan Zhang & Brandon J Bethel, 2020. "A Comprehensive Evaluation of Carbon Emission Reduction Capability in the Yangtze River Economic Belt," IJERPH, MDPI, vol. 17(2), pages 1-16, January.
    2. Wanke, Peter & Tsionas, Mike G. & Chen, Zhongfei & Moreira Antunes, Jorge Junio, 2020. "Dynamic network DEA and SFA models for accounting and financial indicators with an analysis of super-efficiency in stochastic frontiers: An efficiency comparison in OECD banking," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 456-468.
    3. Decai Tang & Yan Zhang & Brandon J. Bethel, 2019. "An Analysis of Disparities and Driving Factors of Carbon Emissions in the Yangtze River Economic Belt," Sustainability, MDPI, vol. 11(8), pages 1-13, April.
    4. Fei, Rilong & Lin, Ziyi & Chunga, Joseph, 2021. "How land transfer affects agricultural land use efficiency: Evidence from China’s agricultural sector," Land Use Policy, Elsevier, vol. 103(C).
    5. Manevska-Tasevska, Gordana & Hansson, Helena & Asmild, Mette & Surry, Yves, 2021. "Exploring the regional efficiency of the Swedish agricultural sector during the CAP reforms ‒ multi-directional efficiency analysis approach," Land Use Policy, Elsevier, vol. 100(C).
    6. Deng, Xiangzheng & Gibson, John, 2019. "Improving eco-efficiency for the sustainable agricultural production: A case study in Shandong, China," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 394-400.
    7. Wang, Sun Ling & Huang, Jikun & Wang, Xiaobing & Tuan, Francis, 2019. "Are China’s regional agricultural productivities converging: How and why?," Food Policy, Elsevier, vol. 86(C), pages 1-1.
    8. Adom, Philip Kofi & Adams, Samuel, 2020. "Decomposition of technical efficiency in agricultural production in Africa into transient and persistent technical efficiency under heterogeneous technologies," World Development, Elsevier, vol. 129(C).
    9. Yigezu, Yigezu A. & Ahmed, Mohamed A. & Shideed, Kamil & Aw-Hassan, Aden & El-Shater, Tamer & Al-Atwan, Samman, 2013. "Implications of a shift in irrigation technology on resource use efficiency: A Syrian case," Agricultural Systems, Elsevier, vol. 118(C), pages 14-22.
    10. Li, Nan & Jiang, Yuqing & Mu, Hailin & Yu, Zhixin, 2018. "Efficiency evaluation and improvement potential for the Chinese agricultural sector at the provincial level based on data envelopment analysis (DEA)," Energy, Elsevier, vol. 164(C), pages 1145-1160.
    11. Mosbah, Ezzeddine & Zaibet, Lokman & Dharmapala, P. Sunil, 2020. "A new methodology to measure efficiencies of inputs (outputs) of decision making units in Data Envelopment Analysis with application to agriculture," Socio-Economic Planning Sciences, Elsevier, vol. 72(C).
    12. Jingwei Xiang & Xiaoqing Song & Jiangfeng Li, 2019. "Cropland Use Transitions and Their Driving Factors in Poverty-Stricken Counties of Western Hubei Province, China," Sustainability, MDPI, vol. 11(7), pages 1-19, April.
    13. Renato Villano & Euan Fleming, 2006. "Technical Inefficiency and Production Risk in Rice Farming: Evidence from Central Luzon Philippines," Asian Economic Journal, East Asian Economic Association, vol. 20(1), pages 29-46, March.
    14. Zhijiang Li & Decai Tang & Mang Han & Brandon J. Bethel, 2018. "Comprehensive Evaluation of Regional Sustainable Development Based on Data Envelopment Analysis," Sustainability, MDPI, vol. 10(11), pages 1-18, October.
    15. Shen, Zhiyang & Baležentis, Tomas & Chen, Xueli & Valdmanis, Vivian, 2018. "Green growth and structural change in Chinese agricultural sector during 1997–2014," China Economic Review, Elsevier, vol. 51(C), pages 83-96.
    16. Hahn, G.J. & Brandenburg, M. & Becker, J., 2021. "Valuing supply chain performance within and across manufacturing industries: A DEA-based approach," International Journal of Production Economics, Elsevier, vol. 240(C).
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    2. Guangdi Zhang & Yaojun Ye & Mengya Sun, 2023. "Assessing the Static and Dynamic Efficiency of Digital Economy in China: Three Stage DEA–Malmquist Index Based Approach," Sustainability, MDPI, vol. 15(6), pages 1-17, March.
    3. Haokun Wang & Hong Chen & Tuyen Thi Tran & Shuai Qin, 2022. "An Analysis of the Spatiotemporal Characteristics and Diversity of Grain Production Resource Utilization Efficiency under the Constraint of Carbon Emissions: Evidence from Major Grain-Producing Areas ," IJERPH, MDPI, vol. 19(13), pages 1-25, June.
    4. Jianlin Wang & Junbo Tong & Zhong Fang, 2024. "Assessing the Drivers of Sustained Agricultural Economic Development in China: Agricultural Productivity and Poverty Reduction Efficiency," Sustainability, MDPI, vol. 16(5), pages 1-18, March.

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