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Efficiency of Green Total Factor Production: Exploring Core Determinants

Author

Listed:
  • Mingwen XU

    (School of Economics; Fujian Normal University; Fuzhou 350117; P. R. China)

  • Yang CHEN

    (Department of Economics; Government College University; Lahore 54000; Pakistan)

  • Farhan ALI

    (Department of Marketing, Sumy State University, Sumy 40007, Ukraine)

  • Oleksii LYULYOV

    (Department of Marketing, Sumy State University, Sumy 40007, Ukraine)

  • Tetyana PIMONENKO

    (Department of Applied Management, WSB University in Dabrowa Gornicza, Poland)

Abstract

Amid a growing global emphasis on sustainable development and resource efficiency, understanding the core determinants of green total factor production efficiency holds paramount importance for fostering environmentally conscious economic growth. This paper aims to analyze green total factor production (GTFP) and core indicators that could restrict or increase efficiency. The panel data of 285 Chinese cities were selected to construct the unexpected output-ultraefficiency SBM model of the consumption of energy and environmental pollution from 2003 to 2019, first using the GML index for measuring and decomposing the GTFP, subsequently using spatial autocorrelation analysis, and finally using the Tobit model for scrutinizing the key determinants. The findings allow concluded that the GTFP showed a stable trend between 2004 and 2019. However, there were still large differences, and there were certain spatial agglomeration characteristics. The spatial evolution characteristics showed obvious characteristics of "low/high in the west/east accordingly" at the urban level The spatial correlation shows a dynamic change of first weakening and then increasing; the economic foundation, use of energy, and environmental pollution will seriously affect the GTFP.

Suggested Citation

  • Mingwen XU & Yang CHEN & Farhan ALI & Oleksii LYULYOV & Tetyana PIMONENKO, 2024. "Efficiency of Green Total Factor Production: Exploring Core Determinants," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 102-119, October.
    • Handle: RePEc:rjr:romjef:v::y:2024:i:3:p:102-119
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    References listed on IDEAS

    as
    1. Junwei Zhao & Yuxiang Zhang & Anhang Chen & Huiqin Zhang, 2022. "Analysis on the Spatio-Temporal Evolution Characteristics of the Impact of China’s Digitalization Process on Green Total Factor Productivity," IJERPH, MDPI, vol. 19(22), pages 1-21, November.
    2. Olena Chygryn & Radoslaw Miskiewicz, 2022. "New Trends and Patterns in Green Competitiveness: A Bibliometric Analysis of Evolution," Virtual Economics, The London Academy of Science and Business, vol. 5(2), pages 24-42, September.
    3. Cheng, Zhonghua & Li, Lianshui & Liu, Jun, 2020. "Natural resource abundance, resource industry dependence and economic green growth in China," Resources Policy, Elsevier, vol. 68(C).
    4. Fare, Rolf, et al, 1989. "Multilateral Productivity Comparisons When Some Outputs Are Undesirable: A Nonparametric Approach," The Review of Economics and Statistics, MIT Press, vol. 71(1), pages 90-98, February.
    5. Bianco, Vincenzo & Manca, Oronzio & Nardini, Sergio, 2009. "Electricity consumption forecasting in Italy using linear regression models," Energy, Elsevier, vol. 34(9), pages 1413-1421.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    ultra-efficiency SBM model; GML index; spatial autocorrelation; Tobit model;
    All these keywords.

    JEL classification:

    • Q01 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Sustainable Development
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth
    • Q57 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Ecological Economics

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