Research on Spatiotemporal Evolution of Pollution & Carbon Reduction Synergy in Yangtze River Economic Belt and Multi - parties Governance Mechanism
DOI:
https://doi.org/10.54097/p7rc8919Keywords:
Yangtze River Economic Belt, Collaborative efficiency of pollution reduction and carbon reduction, Non radial Super SBM model, Spatial Durbin modelAbstract
This article is based on the non-radial Super SBM model and spatial econometric methods, combined with the Malmquist Luenberger index decomposition method, to systematically investigate the spatiotemporal evolution law and driving mechanism of the collaborative efficiency of pollution reduction and carbon reduction in the Yangtze River Economic Belt from 2013 to 2022. Research has found that: (1) Collaborative efficiency shows a "policy driven" ladder growth. After the implementation of the "Outline of the Development Plan for the Yangtze River Economic Belt" in 2016, the average annual growth rate changed from negative to positive (+3.15%), and the "dual carbon" target promoted the growth rate to 5.43%. The contribution rate of technological efficiency improvement to efficiency improvement reached 68.7%, confirming the leverage effect of policies on technology diffusion; (2) The spatial differentiation presents a "gradient convergence" feature, with downstream regions maintaining a leading position based on advanced industrial structure (service industry accounting for more than 45%) and green technology agglomeration (green patent density of 8.7 per 10000 people), midstream regions demonstrating policy resilience (shock resistance elasticity+0.12 σ), and upstream regions catching up through ecological compensation (average annual growth rate of 6.2%), but there is still a technology gap of 34%; (3) There is a non-linear interaction effect in multi-party governance. The government's green support increases the adoption rate of clean technologies by 0.38%/1% (p<0.01) through the "cost compensation" mechanism. However, in the early stage of transformation, equipment updates lead to a 12.7% rebound in carbon emissions, and there is a "behavioral response gap" in public participation. The marginal effect of online demands on actual emissions reduction is only 0.07% (p>0.1); (4) The spatial interaction presents a "double-edged sword" feature, with a spillover elasticity of 0.187 within a 300 kilometer radius of technology diffusion, while the "bottom-up competition" of environmental regulations leads to a 1% decrease in environmental intensity in neighboring areas and a 0.29% increase in local pollution emissions (p<0.05). At the theoretical level, a multi-party collaborative governance framework has been constructed to reveal the time-varying effects and spatial interaction boundaries of policy combinations; At the practical level, it is proposed to establish a governance system of "regional adaptation dynamic optimization spatial collaboration" and bridge the gap in public participation efficiency through digital technology. The research deepens the understanding of the stage characteristics and spatial spillover geographic laws of the green paradox, providing scientific basis for differentiated collaborative governance of the Yangtze River Economic Belt.
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