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Peaking Carbon Emissions in a Megacity through Economic Restructuring: A Case Study of Shenzhen, China

  • Yang Yang
  • , Fan He
  • , Junping Ji*
  • , Xin Liu
  • *Corresponding author for this work
  • School of Economics and Management, Harbin Institute of Technology Shenzhen
  • Harbin Institute of Technology Shenzhen
  • Peking University

Research output: Contribution to journalArticlepeer-review

Abstract

With the growing cost of carbon emissions reduction, the application of industrial restructuring to suppress carbon emissions is becoming more attractive. By constructing an input-output optimization model, this study explored how industrial restructuring helps megacities synergistically achieve carbon peak and high-quality development. The results showed that through contributing 164.4% of the reduction in emissions from 2020 to 2025, industrial structure optimization significantly inhibited the growth of carbon emissions; From 2020 to 2025, the manufacturing structure continued to be high-end, which resulted in a reduction in industrial carbon emissions by 10.3%; through vigorous development of the low-carbon service industry, the carbon emission of the service industry would continue to slow down at an average annual rate of 2.4%. Industrial premiumization and the low-carbonization of the modern service sector are the key driving forces for Shenzhen to achieve low-carbon transformation. The results also showed that the power and retail sectors are the most important for emissions reduction. This study can provide a roadmap for megacities on how to explore potential emission reduction via optimizing their economic structure to help them achieve their carbon emissions peak.

Original languageEnglish
Article number6932
JournalEnergies
Volume15
Issue number19
DOIs
StatePublished - Oct 2022
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • I-O optimization model
  • emission reduction potential
  • industrial restructuring

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