How Upgrading of Provincial Development Zones Reduces Urban Carbon Emission: Evidence from a Time-Varying DID Analysis

This study examines the impact of upgrading provincial development zones on urban carbon emission reduction in China, a vital policy instrument for achieving the nation’s dual objectives of economic growth and green development under the “carbon neutrality and carbon peak” framework. Utilizing panel data from 276 Chinese cities spanning 2006 to 2019, this study employs a time-varying difference-in-differences model to empirically assess the effects of these upgrades. The findings indicate that these upgrades significantly reduce urban carbon emissions through policy, agglomeration, and regulatory effects. The heterogeneity analysis further reveals that the policy’s effectiveness is amplified by higher levels of government participation, increased attention to environmental protection, and greater urban emission reduction pressures. Moreover, while the policy facilitates carbon emission reductions in neighboring cities through spatial spillover effects, it does not achieve synergistic control over multiple pollutants, showing no significant impact on other industrial pollutants emissions. These findings provide value insights for policymakers aiming to balance economic development with environmental sustainability.

Authors

Institutions

Publication Details

Journal
Sustainability
Published
2024-10-12
DOI
https://doi.org/10.3390/su16208852
Primary Topic
Energy, Environment, Economic Growth
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

How Upgrading of Provincial Development Zones Reduces Urban Carbon Emission: Evidence from a Time-Varying DID Analysis

Yuan Liu, Long Xu, Jiayi Zhou
Sustainability
Energy, Environment, Economic Growth
article

How Upgrading of Provincial Development Zones Reduces Urban Carbon Emission: Evidence from a Time-Varying DID Analysis

Yuan Liu, Long Xu, Jiayi Zhou
article en

Abstract

This study examines the impact of upgrading provincial development zones on urban carbon emission reduction in China, a vital policy instrument for achieving the nation’s dual objectives of economic growth and green development under the “carbon neutrality and carbon peak” framework. Utilizing panel data from 276 Chinese cities spanning 2006 to 2019, this study employs a time-varying difference-in-differences model to empirically assess the effects of these upgrades. The findings indicate that these upgrades significantly reduce urban carbon emissions through policy, agglomeration, and regulatory effects. The heterogeneity analysis further reveals that the policy’s effectiveness is amplified by higher levels of government participation, increased attention to environmental protection, and greater urban emission reduction pressures. Moreover, while the policy facilitates carbon emission reductions in neighboring cities through spatial spillover effects, it does not achieve synergistic control over multiple pollutants, showing no significant impact on other industrial pollutants emissions. These findings provide value insights for policymakers aiming to balance economic development with environmental sustainability.

SustainabilityVol. 16(20)
Hebei University of Economics and Business (CN), Hebei University of Technology (CN)
Ministry of Education of the People's Republic of China
Openalex Percentile: Top 78%
Energy, Environment, Economic Growth
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

How Upgrading of Provincial Development Zones Reduces Urban Carbon Emission: Evidence from a Time-Varying DID Analysis — Yuan Liu, Long Xu, et al. · Sustainability (2024) | TGRS Research Map | TGRS