Low-carbon city pilot and carbon emission efficiency: Quasi-experimental evidence from China
This paper identifies the causal effect of low-carbon city pilot (LCCP) policy on carbon emission efficiency (CEE). Specifically, we first develop a general nonconvex metafrontier data envelopment analysis model to calculate CEE. We also provide a quasi-experimental evidence using a unique dataset o...
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Published in | Energy economics Vol. 96; p. 105125 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Kidlington
Elsevier B.V
01.04.2021
Elsevier Science Ltd |
Subjects | |
Online Access | Get full text |
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Summary: | This paper identifies the causal effect of low-carbon city pilot (LCCP) policy on carbon emission efficiency (CEE). Specifically, we first develop a general nonconvex metafrontier data envelopment analysis model to calculate CEE. We also provide a quasi-experimental evidence using a unique dataset of 251 cities in China during the years 2003 to 2018. Specifically, difference-in-differences (DID) and spatial DID (SDID) estimators are used as the main empirical strategy. We find that the LCCP policy improved CEE by 1.7% which are both economically and statistically significant. Further, its impact on neighbor untreated cities is about 64% of that on the treated cities. Scenario analysis documents that the average carbon dioxide emissions should be mitigated by approximately 8.37 million tons with a CEE increase of 1%, 8.84 million tons with a 2% increase, and 9.31 million tons with a 3% increase. Our findings also indicate that a 1% increase in years relative to a city's carbon dioxide emissions peak year commitment associates with a 1.3% increase in CEE.
•A nonconvex metafrontier data envelopment analysis model is developed to calculate carbon emission efficiency.•The causal relationship between low-carbon city pilot policy and carbon emission efficiency is identified.•The PSM-DID results confirm that the LCCP policy improved CEE by a significant 1.7%.•The impact of LCCP policy on neighbor untreated cities is about 64% of that on the treated cities. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
ISSN: | 0140-9883 1873-6181 |
DOI: | 10.1016/j.eneco.2021.105125 |