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Has the Economic Structure Optimization in China’s Supply-Side Structural Reform Improved the Inclusive Green Total Factor Productivity?

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  • Feng Wang

    (School of Economics and Finance, Xi’an Jiaotong University, Shaanxi Province, Xi’an 710061, China)

  • Jianxiong Wu

    (School of Economics and Finance, Xi’an Jiaotong University, Shaanxi Province, Xi’an 710061, China)

  • Min Wu

    (School of Economics and Finance, Xi’an Jiaotong University, Shaanxi Province, Xi’an 710061, China)

  • Wen Zheng

    (School of Economics and Finance, Xi’an Jiaotong University, Shaanxi Province, Xi’an 710061, China)

  • Danwen Huang

    (School of Economics and Finance, Xi’an Jiaotong University, Shaanxi Province, Xi’an 710061, China)

Abstract

One of the goals of China’s supply-side structural reform is to improve total factor productivity (TFP). Considering the problems of environmental deterioration and income disparity faced by China, this paper first incorporates environmental pollution and income disparity as undesirable outputs into the TFP analysis framework, and extends the concept of inclusive green TFP (henceforth IGTFP).We measure and analyze the IGTFP in China’s provinces from 1995 to 2017 using the Malmquist–Luenberger index, and then examine, for the first time, the impacts of economic structural optimization in the supply-side structural reform on the IGTFP. The results are shown as follows. First, China’s national IGTFP index is significantly smaller than the traditional TFP index. That is, the traditional TFP without the constraints of environmental pollution and income disparity overestimates China’s real TFP. Second, there are significant regional differences in China’s IGTFP, the average annual growth rate of IGTFP shows a gradual downward trend from east to west. This would further exacerbate the regional imbalance in China’s economic development. Third, among the structural factors in economic structure optimization, industrial structure and energy structure are negatively correlated with the IGTFP, while factor structure, labor structure and urban–rural structure are all positively correlated with the IGTFP. These results imply that the economic structure optimization driven by supply-side structural reform will improve China’s IGTFP.

Suggested Citation

  • Feng Wang & Jianxiong Wu & Min Wu & Wen Zheng & Danwen Huang, 2021. "Has the Economic Structure Optimization in China’s Supply-Side Structural Reform Improved the Inclusive Green Total Factor Productivity?," Sustainability, MDPI, vol. 13(22), pages 1-25, November.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:22:p:12911-:d:685085
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    2. Auwalu Faisal Koko & Zexu Han & Yue Wu & Siyuan Zhang & Nan Ding & Jiayang Luo, 2023. "Spatiotemporal Analysis and Prediction of Urban Land Use/Land Cover Changes Using a Cellular Automata and Novel Patch-Generating Land Use Simulation Model: A Study of Zhejiang Province, China," Land, MDPI, vol. 12(8), pages 1-21, August.
    3. Minghua Chen & Tengwen Zhang & Qinru Chu & Linxiao Xie & Jianxu Liu & Roengchai Tansuchat & You Geng, 2023. "Convergence Analysis of Inclusive Green Growth in China Based on the Spatial Correlation Network," Sustainability, MDPI, vol. 15(16), pages 1-21, August.

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