Optimizing economy-energy-environment (3Es) policy mixes for decarbonization: Synergies, trade-offs, and regional implementation in China

  • Anping Ye
  • , Yu Jie Hu*
  • , Bao Jun Tang
  • , Ting Wang
  • , Yao Tao
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

To promote effective carbon reduction, this study explores the synergies and trade-offs of policy mixes related to the economy, energy, and environment (3Es). To address the gap in current research, we constructed a multi-policy decarbonization effect evaluation model, while employing Spatial Durbin and Autocorrelation models with difference-in-differences method (SDM-DID/SAC-DID), to assess seven policy mixes and identify implementation priorities at the provincial level. The results revealed: (1) 3Es policy mixes showed both synergies and trade-offs, with triple-policy combinations outperforming single policies. (2) Regional disparities exist, as prioritizing implementation in northern regions can boost decarbonization by 38.45-52.88%. (3) The optimal policy paths varied across provinces, based on their 3Es transformation levels. (4) Pilot policy implementation may lead to carbon leakage, which can be mitigated by multi-policy mix. To maximize decarbonization effects, China should: (1) Integrate national strategies with provincial advantages, leveraging provincial strengths instead of adopting a “one-size-fits-all” approach. (2) Strengthen regional coordination and policy linkages to prevent carbon leakage. (3) Elevating the policy-driven transformation level, shifting from “dual control of energy consumption” to “dual control of carbon emissions” and encouraging provinces to seize opportunities in the digital economy and green finance.

Original languageEnglish
Article number115173
JournalEnergy Policy
Volume212
DOIs
Publication statusPublished - May 2026
Externally publishedYes

Keywords

  • Carbon emissions
  • Difference-in-differences model
  • Policy design
  • Policy mix
  • Spatial effect

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