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The Measurement and Influencing Factors of Total Factor Productivity in the Chinese Rural Distribution Industry

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  • Chaoxun Ding

    (School of Management, Henan University of Science and Technology, 263 Kaiyuan Ave, Luoyang 450062, China)

  • Ruidan Zhang

    (Development Planning Division, Henan University of Science and Technology, 263 Kaiyuan Ave, Luoyang 450062, China)

Abstract

Total factor productivity (TFP) is critical to the sustainable development of the rural distribution industry. Improvements in productivity of the rural distribution industry can promote the high-quality development of the Chinese distribution industry. Studying the characteristics and influencing factors of total factor productivity in regard to the rural distribution industry in China is significant for promoting the transformation and development of the rural distribution industry. This paper uses the DEA–Malmquist Index to measure the total factor productivity (TFP) of the Chinese rural distribution industry and its decomposition index, and uses a panel data model to empirically study its influencing factors. The results show that, from 2008 to 2018, the TFP of the Chinese rural distribution industry showed a trend of rising first and then fluctuating and declining, with an average annual growth rate of 2.93%; the fluctuation direction of the TFP of the rural distribution industry in the eastern and western regions of China is basically the same, which has had a reverse change relationship with the central and northeast regions for many years. The industrial structure, urbanization rate, rural informatization rate, and conditions of the transportation facilities have significant impacts on the TFP of the rural distribution industry, among which the informatization rate has the greatest positive impact.

Suggested Citation

  • Chaoxun Ding & Ruidan Zhang, 2021. "The Measurement and Influencing Factors of Total Factor Productivity in the Chinese Rural Distribution Industry," Sustainability, MDPI, vol. 13(15), pages 1-16, July.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:15:p:8581-:d:606431
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    1. Maican, Florin & Orth, Matilda, 2015. "A dynamic analysis of entry regulations and productivity in retail trade," International Journal of Industrial Organization, Elsevier, vol. 40(C), pages 67-80.
    2. D. W. Jorgenson & Z. Griliches, 1967. "The Explanation of Productivity Change," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 34(3), pages 249-283.
    3. Qiang Li & Xiaohang Wu & Yi Zhang & Yafei Wang, 2020. "The Effect of Agricultural Environmental Total Factor Productivity on Urban-Rural Income Gap: Integrated View from China," Sustainability, MDPI, vol. 12(8), pages 1-18, April.
    4. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "Multilateral Comparisons of Output, Input, and Productivity Using Superlative Index Numbers," Economic Journal, Royal Economic Society, vol. 92(365), pages 73-86, March.
    5. Shin, Seungjae & Eksioglu, Burak, 2015. "An empirical study of RFID productivity in the U.S. retail supply chain," International Journal of Production Economics, Elsevier, vol. 163(C), pages 89-96.
    6. Bin Li & Shuai Shi & Yating Zeng, 2020. "The Impact of Haze Pollution on Firm-Level TFP in China: Test of a Mediation Model of Labor Productivity," Sustainability, MDPI, vol. 12(20), pages 1-21, October.
    7. Hao Cai & Ling Liang & Jing Tang & Qianxian Wang & Lihong Wei & Jiaping Xie, 2019. "An Empirical Study on the Efficiency and Influencing Factors of the Photovoltaic Industry in China and an Analysis of Its Influencing Factors," Sustainability, MDPI, vol. 11(23), pages 1-22, November.
    8. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    9. Yafei Wang & Li Xie & Yi Zhang & Chunyun Wang & Ke Yu, 2019. "Does FDI Promote or Inhibit the High-Quality Development of Agriculture in China? An Agricultural GTFP Perspective," Sustainability, MDPI, vol. 11(17), pages 1-19, August.
    10. Gui Ye & Yuhe Wang & Yuxin Zhang & Liming Wang & Houli Xie & Yuan Fu & Jian Zuo, 2019. "Impact of Migrant Workers on Total Factor Productivity in Chinese Construction Industry," Sustainability, MDPI, vol. 11(3), pages 1-18, February.
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    Cited by:

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    2. Gantian Zheng & Weiwei Wang & Chang Jiang & Fan Jiang, 2023. "Can Rural Industrial Convergence Improve the Total Factor Productivity of Agricultural Environments: Evidence from China," Sustainability, MDPI, vol. 15(23), pages 1-20, November.
    3. Guangfan Sun & Xiangyu Cao & Junyi Chen & Hanqi Li, 2022. "Food Culture and Sustainable Development: Evidence from Firm-Level Sustainable Total Factor Productivity in China," Sustainability, MDPI, vol. 14(14), pages 1-25, July.

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