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

Wang, Keliang; Xu, Ru-Yu; Zhang, Fuqin; Zhang, Miao; Peng, Gang

doi:10.1016/j.ecolind.2021.108308

Cited by 27 publications

(10 citation statements)

References 61 publications

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“…There are numerous studies on the YREB. Wang et al studied the emission reduction efficiency of PM2.5 in the YREB, which is of great significance to the control of atmospheric environmental pollution [ 4 ]. Zhang et al studied the relationship between the economic development and the pressure of the water environment in the YREB [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

An Analysis of Agricultural Production Efficiency of Yangtze River Economic Belt Based on a Three-Stage DEA Malmquist Model

Pan

Tang

Kong

et al. 2022

IJERPH

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The Yangtze River Economic Belt (YREB) is a major national strategic development area in China, and the development of the YREB will greatly promote the development of the entirety China, so research on its agricultural production efficiency is also of great significance. This paper is committed to studying the agricultural production efficiency of 11 provinces in the YREB and adopts a combination of the Data Envelopment Analysis (DEA) model and the Malmquist index to make a dynamic and static analysis on the YREB’s agricultural production efficiency from 2010 to 2019. Then, a three-stage DEA Malmquist model that eliminates the factors of random interference and management inefficiency is compared to a model without elimination. The results show that the adjusted technological efficiency changes, technological progress, and total factor productivity increased by −0.1%, 0.24%, and 0.22%, respectively. When comparing these values to the pre-adjustment values, the results indicate that the effect of environmental variables cannot be ignored when studying the agricultural production efficiency of the YREB. At the same time, the differences in the agricultural production efficiency in the YREB are reasonably explained, and feasible suggestions are put forward.

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Section: Introductionmentioning

confidence: 99%

An Analysis of Agricultural Production Efficiency of Yangtze River Economic Belt Based on a Three-Stage DEA Malmquist Model

Pan

Tang

Kong

et al. 2022

IJERPH

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“…Although previous literature has also emphasized the importance of government environmental regulation in reducing air pollution, it has ignored its moderating effect on environmental information disclosure (Feng et al, 2020;Chen et al, 2022). As a complement to formal environmental regulation, environmental information disclosure and government environmental regulation have complementary effects (Ouyang et al, 2019;Wang et al, 2021a). The findings of this paper suggest that government environmental regulation has a positive moderating effect.…”

Section: The Moderating Effect Of Government Environmental Regulationmentioning

confidence: 68%

Can environmental information disclosure reduce air pollution? Evidence from China

Xiong

Long

Zhang

et al. 2023

Front. Environ. Sci.

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Previous studies have focused on the reduction effect of regulation-based instruments and economic-based instruments on air pollution, ignoring the importance of environmental information disclosure. Based on the Ambient Air Quality Standards (AAQS), a quasi-natural policy implemented in 2012, this paper assesses the effect of environmental information disclosure on air pollution through a dynamic spatial difference-in-difference (DID) model using panel data of 269 cities from 2006 to 2017 in China. We find that the implementation of the AAQS results in a 3% reduction of local PM2.5 concentration and a 3.3% reduction of PM2.5 concentration in the surrounding cities. Further analysis suggests that environmental information disclosure reduces air pollution through enhancing public environmental concerns, green innovation, and industrial upgrading. We also explore the moderating effect of government environmental regulation and heterogeneity analysis in different regions. Our findings suggest that government should further develop the scope and quality of environmental quality information disclosure. Moreover, the local government should provide more support for the green transformation of enterprises and provide necessary support during the transition period. In addition, long-term sustainable environmental protection policies must be able to mobilize regional initiatives for green development.

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“…The region is home to nearly 45% of China’s population and approximately 20% of the country’s land area and accounts for 50% of its total economic output [ 30 ]. It is the economic belt with the greatest economic strength and the most important strategic position [ 31 ], making it an important region for China to achieve its 2030 sustainable development goals [ 30 ]. The YREB is the inland river economic belt with the largest population and the most complete urban system and global influence in the world [ 30 , 31 ].…”

Section: Introductionmentioning

confidence: 99%

“…It is the economic belt with the greatest economic strength and the most important strategic position [ 31 ], making it an important region for China to achieve its 2030 sustainable development goals [ 30 ]. The YREB is the inland river economic belt with the largest population and the most complete urban system and global influence in the world [ 30 , 31 ]. It has complex and varied topography and diverse ecosystem structures in its upper and lower reaches.…”

Section: Introductionmentioning

confidence: 99%

Quantitative Analysis of Sulfur Dioxide Emissions in the Yangtze River Economic Belt from 1997 to 2017, China

Guo

Zhou

Zhang

et al. 2022

IJERPH

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Economic development is responsible for excessive sulfur dioxide (SO2) emissions, environmental pressure increases, and human and environmental risks. This study used spatial autocorrelation, the Environmental Kuznets Curve (EKC), and the Logarithmic Mean Divisia Index model to study the spatiotemporal variation characteristics and influencing factors of SO2 emissions in the Yangtze River Economic Belt (YREB) from 1997 to 2017. Our results show that the total SO2 emissions in the YREB rose from 513.14 × 104 t to 974.00 × 104 t before dropping to 321.97 × 104 t. The SO2 emissions from 11 provinces first increased and then decreased, each with different turning points. For example, the emission trends changed in Yunnan in 2011 and in Anhui in 2015, while the other nine provinces saw their emission trends change during 2005–2006. Furthermore, the SO2 emissions in the YREB showed a significant agglomeration phenomenon, with a Moran index of approximately 0.233–0.987. Moreover, the EKC of SO2 emissions and per capita GDP in the YREB was N-shaped. The EKCs of eight of the 11 provinces were N-shaped (Shanghai, Zhejiang, Anhui, Jiangxi, Sichuan, Guizhou, Hunan, and Chongqing) and those of the other three were inverted U-shaped (Jiangsu, Yunnan, and Hubei). Thus, economic development can both promote and inhibit the emission of SO2. Finally, during the study period, the technical effect (approximately −1387.97 × 104–130.24 × 104 t) contributed the most, followed by the economic (approximately 27.81 × 104–1255.59 × 104 t), structural (approximately −56.45 × 104–343.90 × 104 t), and population effects (approximately 4.25 × 104–39.70 × 104 t). Technology was the dominant factor in SO2 emissions reduction, while economic growth played a major role in promoting SO2 emissions. Therefore, to promote SO2 emission reduction, technological innovations and advances should be the primary point of focus.

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

Cited by 27 publications

References 61 publications

An Analysis of Agricultural Production Efficiency of Yangtze River Economic Belt Based on a Three-Stage DEA Malmquist Model

An Analysis of Agricultural Production Efficiency of Yangtze River Economic Belt Based on a Three-Stage DEA Malmquist Model

Can environmental information disclosure reduce air pollution? Evidence from China

Quantitative Analysis of Sulfur Dioxide Emissions in the Yangtze River Economic Belt from 1997 to 2017, China

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