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The threshold effect of manufacturing Servitization on carbon emission: An empirical analysis based on multinational panel data

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  • Zong, Yi
  • Gu, Guoda

Abstract

There has been heated debate by scholars in different fields over the past years regarding the issue of how to slow global warming. To reduce carbon emissions without reducing the satisfaction of social needs, environmental economists try to reduce environmental costs by improving the structure of production. Manufacturing servitization improves the production structure by introducing service elements into the manufacturing industry, so it is increasingly proposed as a solution to reduce carbon emissions. By using the World Input-Output Database (WIOD), this article calculates the degree of manufacturing servitization in 42 countries from 2000–2014 by the trade in value added (TiVA) method. We first empirically verify the carbon emission reduction effect of manufacturing servitization through multinational panel data, and then further examine the environmental impact of manufacturing servitization on heterogeneous economies from different perspectives using the panel threshold regression model, so as to provide a reference for the realistic development of economies with different economic characteristics or developmental stages.

Suggested Citation

  • Zong, Yi & Gu, Guoda, 2022. "The threshold effect of manufacturing Servitization on carbon emission: An empirical analysis based on multinational panel data," Structural Change and Economic Dynamics, Elsevier, vol. 60(C), pages 353-364.
  • Handle: RePEc:eee:streco:v:60:y:2022:i:c:p:353-364
    DOI: 10.1016/j.strueco.2021.12.007
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    6. Luyang Tang & Bangke Lu & Tianhai Tian, 2023. "The Effect of Input Digitalization on Carbon Emission Intensity: An Empirical Analysis Based on China’s Manufacturing," IJERPH, MDPI, vol. 20(4), pages 1-22, February.
    7. Qiao, Renlu & Liu, Xiaochang & Gao, Shuo & Liang, Diling & GesangYangji, Gesang & Xia, Li & Zhou, Shiqi & Ao, Xiang & Jiang, Qingrui & Wu, Zhiqiang, 2024. "Industrialization, urbanization, and innovation: Nonlinear drivers of carbon emissions in Chinese cities," Applied Energy, Elsevier, vol. 358(C).
    8. Rizzati, Massimiliano & Landoni, Matteo, 2024. "A systematic review of agent-based modelling in the circular economy: Insights towards a general model," Structural Change and Economic Dynamics, Elsevier, vol. 69(C), pages 617-631.

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