4.6 Article

Global Environmental Value Chain Emb e dde dness and Enterprise Production Efficiency Improvement

期刊

STRUCTURAL CHANGE AND ECONOMIC DYNAMICS
卷 58, 期 -, 页码 278-290

出版社

ELSEVIER
DOI: 10.1016/j.strueco.2021.06.004

关键词

Global environmental value chain; Production efficiency; Psm-did method; International knowledge spillovers; Innovation performance

资金

  1. National Natural Science Foundation of China [71934001, 71471001, 41771568, 71533004, 71601170]
  2. National Key Research and Development Program of China [2016YFA0602500]
  3. Strategic Priority Research Program of Chinese Academy of Sciences [XDA23070400]
  4. Fundamental Research Funds for the Central Universities [201961046]

向作者/读者索取更多资源

The rapid development of the global value chain labor division system has both improved the technological level of developing countries and provided opportunities for developed countries to transfer pollution-intensive industries. The embedding of enterprises in the Global Environmental Value Chain (GEVC) affects their production efficiency, with different impacts based on their profitability. Foreign-funded enterprises benefit more from the improvement in production efficiency resulting from GEVC embedding.
The rapid development of the labor division system of the global value chain not only improves the technological level of developing countries but also creates opportunities for developed countries that dominate the global value chain to transfer pollution-intensive production links to developing countries. When faced with the pressure of environmental governance, the production efficiency of enterprises in the value chain may change significantly. Therefore, this study establishes a global value chain analysis framework, considering environmental factors, that is, the global environmental value chain (GEVC). It discusses the impact of the embeddedness of enterprises in the GEVC on their production efficiencies. Based on the consolidated data from 20 0 0 to 20 06 in the China Industry Business Performance Data and the China customs database, the following conclusion is drawn: The embeddedness of enterprises in the GEVC reduces the production efficiency of enterprises, but the changes of production efficiencies of enterprises with different profitability in the GEVC are significantly different. Specifically, the embeddedness of enterprises with positive earnings in the GEVC can improve production efficiency, while that of enterprises with negative earnings in the GEVC will reduce production efficiency. Furthermore, the learning effect and the competition effect reinforce the positive effect of GEVC on enterprise production efficiency, while the capture effect weakens this effect, and the scale effect is insignificant. Moreover, foreign funded enterprises benefit more from the improvement of production efficiency that resulted from GEVC embeddedness. (c) 2021 Elsevier B.V. All rights reserved.

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