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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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    1. Arazmuradov, Annageldy & Martini, Gianmaria & Scotti, Davide, 2014. "Determinants of total factor productivity in former Soviet Union economies: A stochastic frontier approach," Economic Systems, Elsevier, vol. 38(1), pages 115-135.
    2. Liu, Zuankuo & Xin, Li, 2019. "Has China's Belt and Road Initiative promoted its green total factor productivity？——Evidence from primary provinces along the route," Energy Policy, Elsevier, vol. 129(C), pages 360-369.
    3. Färe, Rolf & Grosskopf, Shawna & Pasurka, Carl A., 2007. "Environmental production functions and environmental directional distance functions," Energy, Elsevier, vol. 32(7), pages 1055-1066.
    4. Du, Juan & Chen, Yao & Huang, Ying, 2018. "A Modified Malmquist-Luenberger Productivity Index: Assessing Environmental Productivity Performance in China," European Journal of Operational Research, Elsevier, vol. 269(1), pages 171-187.
    5. Feng, Chao & Huang, Jian-Bai & Wang, Miao, 2019. "The sustainability of China’s metal industries: features, challenges and future focuses," Resources Policy, Elsevier, vol. 60(C), pages 215-224.
    6. Jiang, Yufan & Wang, Hongyan & Liu, Zuankuo, 2021. "The impact of the free trade zone on green total factor productivity ——evidence from the shanghai pilot free trade zone," Energy Policy, Elsevier, vol. 148(PB).
    7. Odeck, James & Schøyen, Halvor, 2020. "Productivity and convergence in Norwegian container seaports: An SFA-based Malmquist productivity index approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 222-239.
    8. Wei, Shang-Jin & Wu, Weixing & Zhang, Linwan, 2019. "Portfolio choices, Asset returns and wealth inequality: evidence from China," Emerging Markets Review, Elsevier, vol. 38(C), pages 423-437.
    9. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    10. Lu, Xin-hai & Jiang, Xu & Gong, Meng-qi, 2020. "How land transfer marketization influence on green total factor productivity from the approach of industrial structure? Evidence from China," Land Use Policy, Elsevier, vol. 95(C).
    11. Duran, Hasan Engin, 2019. "Asymmetries in regional development: Does TFP or capital accumulation matter for spatial inequalities?," The Journal of Economic Asymmetries, Elsevier, vol. 20(C).
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    Cited by:

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    3. 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.

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