长江流域资源与环境 >> 2025, Vol. 34 >> Issue (2): 252-267.doi: 10.11870/cjlyzyyhj202502002

• 区域可持续发展 • 上一篇    下一篇

长江经济带制造业碳排放和IFDI的时空格局及其交互影响研究

孙攀1,2   

  1. (1.南通大学商学院,江苏 南通 226019;2.南通大学江苏长江经济带研究院,江苏 南通 226019)
  • 出版日期:2025-02-20 发布日期:2025-02-28

Spatio-temporal Patterns and Interactive Effects of Manufacturing Carbon Emissions and IFDI in the Yangtze River Economic Belt

SUN Pan1,2   

  1. (1. Business School, Nantong University, Nantong 226019, China;2. Jiangsu Yangtze River Economic Belt Research Institute, Nantong University, Nantong 226019, China)
  • Online:2025-02-20 Published:2025-02-28

摘要: IFDI的主要投资领域是制造业,中国制造业作为世界制造业领头羊,其制造业碳排放占全社会碳排放总量的一半以上。制造业领域是节能降碳的主战场,对于实现“双碳”目标至关重要。研究长江经济带制造业碳排放和IFDI的时空格局及其交互影响,对实现“双碳”目标,吸引高质量外资具有重要的理论价值和实践意义。在综合考虑环境库兹涅茨曲线假说、污染光环假说的情况下,依据新经济地理学理论将制造业碳排放和IFDI纳入一个统一的理论分析框架,借助空间分位技术、三维核密度估计技术、双变量空间自相关检验技术及GS3SLS空间联立方程模型估计技术对长江经济带制造业碳排放和IFDI的空间格局及其交互影响进行了深入研究。结果发现:(1)长江经济带制造业碳排放和IFDI均呈现出由下游地区向中上游地区梯度递减的空间格局。(2)制造业碳排放和IFDI及其之间均存在显著的空间集聚特征。(3)制造业碳排放和IFDI之间存在显著的相互抑制效应。整体而言,引进IFDI可以抑制制造业碳排放,抑制制造业碳排放可以促进IFDI引进。稳健性检验、空间异质性检验及内生性检验均支持上述结论。

Abstract: The primary investment sector for IFDI is manufacturing. As the global leader in manufacturing, China’s carbon emissions from this sector account for over half of the total emissions in society. The manufacturing industry is the main battlefield for energy conservation and carbon reduction, which played a crucial role in achieving the "dual carbon" goals. Investigating the spatiotemporal patterns of carbon emissions in the manufacturing sector along the Yangtze River Economic Belt (YREB) and their interaction with IFDI holds significant theoretical and practical value for achieving the "dual carbon" goals and attracting high-quality foreign investment. This paper integrated the Environmental Kuznets Curve hypothesis and the Pollution Halo hypothesis into a unified theoretical framework, based on the New Economic Geography theory. Using spatial quantile regression, three-dimensional kernel density estimation, bivariate spatial autocorrelation tests, and GS3SLS spatial simultaneous equation models, the study conducted an in-depth analysis of the spatial patterns and interactive effects of manufacturing carbon emissions and IFDI in the YREB. The results revealed that: (1) Both manufacturing carbon emissions and IFDI exhibited a spatial pattern characterized by a gradient decreasing from downstream to midstream and upstream regions. (2) There was significant spatial clustering of manufacturing carbon emissions, IFDI, and their interactions. (3) There was a significant mutual inhibition effect between manufacturing carbon emissions and IFDI. Overall, the introduction of IFDI could curb manufacturing carbon emissions, while reducing manufacturing carbon emissions could enhance the attraction of IFDI. Robustness checks, spatial heterogeneity tests, and endogeneity tests all supported the above conclusions.

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