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June 10, 2026资源科学Open Access

中国减污降碳协同效应的量化评估——基于时间序列因果推断视角

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Authors

HLHuajun LIUQWQianmin WU

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Overview

Randomized trial assesses synergistic effects of pollution and carbon reduction in China, indicating pathways for efficiency enhancement.

Key Points

  • This paper aims to propose a new approach for the quantitative assessment of the synergistic effects of pollution reduction and carbon reduction from a time series causal inference perspective.
  • Utilizes multi-spatial convergence cross-mapping method to analyze data from 2015 to 2024.
  • Examines urban carbon emissions and air quality indices at national, urban cluster, and provincial levels.
  • Assesses the spatial heterogeneity characteristics of the synergistic effects of pollution and carbon reductions.
  • Significant synergistic effects of pollution reduction and carbon reduction identified at national, urban cluster, and provincial levels.
  • The predominant pattern is one-way synergy from pollution to carbon reduction, with reciprocal synergy being secondary.
  • The pollution reduction policy shows a significantly greater carbon reduction effect compared to the carbon reduction policy's pollution reduction effect.

Cite This Study

LIU et al. (2026) studied this question.

synapsesocial.com/papers/6a28fff36f82f25be989cb6fhttps://doi.org/10.18402/resci.2026.05.02
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