Literature DB >> 32959321

Urban carbon emission intensity under emission trading system in a developing economy: evidence from 273 Chinese cities.

Kai Tang1, Yichun Liu2, Di Zhou3, Yuan Qiu4.   

Abstract

The international community has generally recognized the key role of developing countries' cities in reducing carbon emissions, an elemental way to mitigate climate change. However, few have empirically analyzed the impact of market-based instruments such as emission trading system on urban carbon emissions in developing economies. This paper examines the effect of China's pilot carbon trading markets, the first emission trading system in developing economies, on cities' carbon intensity. We also explore the mechanism by which the emission trading system achieves its influence. The PSM-DID method is used to analyze the panel data including China's 273 prefecture-level cities from 2010 to 2016. The results illustrate that the emission trading system significantly decreased pilot cities' carbon intensity and this effect endured; as time progressed, the reduction effect was increasing. Through mediating effect analysis, we find that the emission trading system reduced the carbon intensity via increasing the proportion of tertiary industry output value in GDP and decreasing the energy intensity. Overall, the empirical results suggest that the Chinese government should drive the establishment and improvement of a national carbon market, proactively adjust industry structure, and consider the possible influence caused by the potential energy rebound effect.

Entities:  

Keywords:  China; Emission trading system; Mediating effect; PSM-DID; Pilot carbon trading markets; Urban carbon intensity

Mesh:

Substances:

Year:  2020        PMID: 32959321     DOI: 10.1007/s11356-020-10785-1

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  4 in total

1.  The Impact of the Consistency Evaluation Policy of Generic Drugs on R&D Investment Intensity of Pharmaceutical Companies-An Empirical Study Based on the Difference-in-Differences Model.

Authors:  Yanyi Wei; Jialin Zhu; Jiahui Qiao; Dawei Zhang; Yuwen Chen
Journal:  Front Public Health       Date:  2022-06-09

2.  The Energy Saving and Emission Reduction Effect of Carbon Trading Pilot Policy in China: Evidence from a Quasi-Natural Experiment.

Authors:  Huan Zhang; Jingyu Wu
Journal:  Int J Environ Res Public Health       Date:  2022-07-28       Impact factor: 4.614

3.  Preventing a rebound in carbon intensity post-COVID-19 - lessons learned from the change in carbon intensity before and after the 2008 financial crisis.

Authors:  Qiang Wang; Shasha Wang; Xue-Ting Jiang
Journal:  Sustain Prod Consum       Date:  2021-04-24

4.  The Impact of Financial Deepening on Carbon Reductions in China: Evidence from City- and Enterprise-Level Data.

Authors:  Kai Tang; Qianbo Chen; Weijie Tan; Yi Jun Wu Feng
Journal:  Int J Environ Res Public Health       Date:  2022-09-09       Impact factor: 4.614

  4 in total

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