A Comparative Study on the Spatial Heterogeneity of Carbon Emission Reduction Potential and Green Investment Opportunity in Three Major Urban Agglomerations under the "Dual Carbon" Goal Based on ArcGIS Spatial Analysis

DOI: https://doi.org/10.62517/jel.202614305

Author(s)

Kaiyue Jin

Affiliation(s)

University of Nottingham, Ningbo, China

Abstract

To address the problems of unbalanced regional green investment layout and mismatched carbon emission reduction potential under the "Dual Carbon" goal, this study takes 50 cities in three major urban agglomerations as the research objects, constructs a spatial analysis framework of "carbon emission reduction potential-green investment opportunity", and conducts research by integrating the entropy weightTOPSIS method, ArcGIS spatial analysis technology and panel data fixed effect model. The results show that the carbon emission reduction potential of the three major urban agglomerations presents a pattern of "core agglomeration and peripheral gradient decline" with a significant highvalue agglomeration effect, and the green investment opportunity forms a characteristic of "polycentric distribution and corridor extension". The spatial matching of the two can be divided into four types of regions, among which the "high potential-low opportunity" gap areas account for 23.1% and concentrate in the peripheral counties of the urban agglomerations. Empirical evidence shows that four factors including economic development level have a significant positive impact on the spatial matching degree, and the effects of some variables may differ across regions, which requires further verification. Based on this, an optimized green investment strategy of "differentiated layout + spatial coordination" is proposed, which provides a scientific basis for precise policymaking and investment decisions.

Keywords

Dual Carbon Goal; Three Major Urban Agglomerations; Carbon Emission Reduction Potential; Green Investment Opportunity; Spatial Heterogeneity; ArcGIS Spatial Analysis

References

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