Literature DB >> 31845239

Research on the relationship between energy consumption and air quality in the Yangtze River Delta of China: an empirical analysis based on 20 sample cities.

Lingyun He1, Fang Yin2, Deqing Wang3, Xiaolei Yang1, Fengmin Xie1.   

Abstract

This paper uses static and dynamic panel regression to measure the effect of energy consumption on air quality of 20 heavily polluted cities in the Yangtze River Delta of China. Further, the influence of the relevant policies on the relationship between energy consumption and air quality is tested with the method of regression discontinuity. This study concluded the following: (1) When energy consumption structure, industrial structure, and energy efficiency are taken into account, the effect coefficient of energy consumption on air quality is 0.4579, meaning that controlling energy consumption tends to improve the air quality positively. (2) The emission of sulfur dioxide is characterized by inertia; the annual increase in sulfur dioxide emissions in the previous year will lead to an increase of 0.427% in the annual emissions. (3) The relationship between energy consumption and air quality of different cities varies, and these cities can be divided into four categories. (4) The relevant policies for improving air quality are effective to some extent. This study indicates that the Yangtze River Delta should focus on actively changing the mode of energy development.

Entities:  

Keywords:  Air quality; Energy consumption; Heavily polluted cities; Yangtze River Delta

Mesh:

Substances:

Year:  2019        PMID: 31845239     DOI: 10.1007/s11356-019-06984-0

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


  7 in total

1.  [Synergistic emission reduction of chief air pollutants and greenhouse gases-based on scenario simulations of energy consumptions in Beijing].

Authors:  Yuan-bo Xie; Wei Li
Journal:  Huan Jing Ke Xue       Date:  2013-05

2.  Estimation of main greenhouse gases emission from household energy consumption in the West Bank, Palestine.

Authors:  Maher Abu-Madi; Ma'moun Abu Rayyan
Journal:  Environ Pollut       Date:  2013-05-18       Impact factor: 8.071

3.  Is it time to tackle PM(2.5) air pollutions in China from biomass-burning emissions?

Authors:  Yan-Lin Zhang; Fang Cao
Journal:  Environ Pollut       Date:  2015-02-11       Impact factor: 8.071

4.  Research and application of a hybrid model based on dynamic fuzzy synthetic evaluation for establishing air quality forecasting and early warning system: A case study in China.

Authors:  Yunzhen Xu; Pei Du; Jianzhou Wang
Journal:  Environ Pollut       Date:  2017-01-23       Impact factor: 8.071

5.  Impact of urbanization level on urban air quality: a case of fine particles (PM(2.5)) in Chinese cities.

Authors:  Lijian Han; Weiqi Zhou; Weifeng Li; Li Li
Journal:  Environ Pollut       Date:  2014-08-09       Impact factor: 8.071

6.  Urban air pollution in Sub-Saharan Africa: Time for action.

Authors:  A Kofi Amegah; Samuel Agyei-Mensah
Journal:  Environ Pollut       Date:  2016-09-16       Impact factor: 8.071

7.  The contribution of socioeconomic factors to PM2.5 pollution in urban China.

Authors:  Peng Jiang; Jun Yang; Conghong Huang; Huakui Liu
Journal:  Environ Pollut       Date:  2017-11-01       Impact factor: 8.071

  7 in total
  1 in total

1.  A novel causality-centrality-based method for the analysis of the impacts of air pollutants on PM2.5 concentrations in China.

Authors:  Bocheng Wang
Journal:  Sci Rep       Date:  2021-03-26       Impact factor: 4.379

  1 in total

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