资源科学 ›› 2020, Vol. 42 ›› Issue (3): 527-535.doi: 10.18402/resci.2020.03.11

• 碳排放与能源 • 上一篇    下一篇

全球价值链分工地位对于碳排放水平的影响

徐博1,2, 杨来科1,4(), 钱志权3   

  1. 1.华东师范大学经济学院,上海 200062
    2.维多利亚大学经济学系,加拿大维多利亚 V8P5C2
    3.浙江农林大学经济管理学院,杭州 311330
    4.柏林自由大学,德国柏林 14195
  • 收稿日期:2019-03-15 修回日期:2019-07-15 出版日期:2020-03-25 发布日期:2020-05-25
  • 通讯作者: 杨来科
  • 作者简介:徐博,男,安徽砀山人,博士研究生,主要从事全球价值链与碳排放研究。E-mail: ecnuxubo@163.com
  • 基金资助:
    国家社会科学基金重点项目(16AGJ002);浙江省哲学社会科学规划重点项目(15NDJC024Z);华东师范大学研究生出国(境)访学资助项目

The impact of global value chain position on carbon emissions

XU Bo1,2, YANG Laike1,4(), QIAN Zhiquan3   

  1. 1.School of Economics, East China Normal University, Shanghai 200062, China
    2.Department of Economics, University of Victoria, Victoria V8P5C2, Canada
    3.College of Economics and Management, Zhejiang A & F University, Hangzhou 311330, China
    4.Freie Universität Berlin, Berlin 14195, Germany
  • Received:2019-03-15 Revised:2019-07-15 Online:2020-03-25 Published:2020-05-25
  • Contact: YANG Laike

摘要:

随着全球价值链(GVC)在全球经济与贸易中作用的提升,GVC的发展对于资源与环境的影响引起了越来越多的关注。本文以全球主要经济体为研究对象,在环境库兹涅茨曲线(EKC)模型基础上,将GVC分工地位指数和CDIAC碳排放数据库进行匹配组成面板数据,检验GVC分工地位对于碳排放水平的影响,并运用联立方程模型对实证结果进行内生性分析和稳健性检验。研究表明:与EKC模型相类似,GVC分工地位的上升对于碳排放的影响呈倒U型关系。机制分析发现,GVC分工地位可以通过提高绿色能源使用率来降低碳排放量。GVC分工地位也可以通过研究与发展(R&D)投入和创新创业水平影响碳排放,但同样也是一种倒U型关系。同时,R&D投入水平的增加和创新创业水平的提升可以提高GVC分工地位,有助于经济体更快地跨过转折点,转向更加低碳环保的发展模式。本文的结论丰富了全球价值链理论在环境方面的应用,为探索碳减排理论提供了新的思路。

关键词: 全球价值链分工地位, 碳排放, 技术进步, 绿色能源, 环境库兹涅茨曲线

Abstract:

As the global value chain (GVC) plays an increasingly more important role in the global economy and trade, the impact of GVC on resources and the environment has attracted increasingly greater attention. In order to explore the impact of GVC position on carbon emissions, we focused on major global economies and combined GVC index with the Carbon Dioxide Information Analysis Center (CDIAC) carbon emission database to form panel data for analyzing the impact of GVC position on carbon emissions, based on the environmental Kuznets curve. A structural equation model was used to perform endogenous analysis and robustness test. The empirical results show that, similar to the environmental Kuznets curve, the impact of GVC position on carbon emissions showed an inverted U-shaped relationship. Further mechanism analysis found that improved GVC position can reduce carbon emissions through increased use of green energies. Using cross-item analysis, improved GVC position can help R&D investment and innovation and entrepreneurship levels, which in turn reduces carbon emissions. Meanwhile, the increase in R&D investment levels and the improvement of innovation and entrepreneurship can improve the status of GVC positions, helping the economy to cross the turning point faster and shift to a more low-carbon and environmentally friendly development model. The research conclusions may enrich the application of global value chain theory in the environment field and provide new ideas for exploring the theory of carbon emission reduction.

Key words: global value chain position, carbon emission, technology progress, green energy, environmental Kuznets curve