Spatiotemporal heterogeneity and driving factors of PM2.5 reduction efficiency: An empirical analysis of three urban agglomerations in the Yangtze River Economic Belt, China

Spatiotemporal heterogeneity and driving factors of PM2.5 reduction efficiency: An empirical analysis of three urban agglomerations in the Yangtze River Economic Belt, China

Understanding the spatiotemporal heterogeneities of PM2.5 reduction efficiency (PRE) and their driving factors are substantially critical for the atmospheric environmental governance. Using the balanced panel data covering 2003–2017 of the three urban agglomerations (UAs) in the Yangtze River Econom...

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Bibliographic Details
Main Authors: Miao, Z. (Author), Peng, G. (Author), Wang, K.-L (Author), Xu, R.-Y (Author), Zhang, F.-Q (Author)
Format: Article
Language:English
Published: Elsevier B.V. 2021
Subjects:
agglomeration
Agglomeration
China
Driving factors
Economic and social effects
Economics
Efficiency
empirical analysis
environmental legislation
environmental protection
Environmental regulations
estimation method
governance approach
heterogeneity
input-output analysis
Investments
Kernel Density Estimation
Markov chain
Markov processes
particulate matter
PM 2.5
PM2.5 reduction efficiency
PM2.5 reduction efficiency (PRE)
Reduction efficiency
regression analysis
River pollution
Rivers
spatiotemporal analysis
Spatiotemporal heterogeneities
Statistics
Unmanned aerial vehicles (UAV)
Urban agglomeration
Urban agglomerations
Yangtze River
Yangtze river delta
Yangtze river economic belt
Yangtze river economic belt (YREB)
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