Literature DB >> 31419663

Does the path of technological progress matter in mitigating China's PM2.5 concentrations? Evidence from three urban agglomerations in China.

Jing Chen1, Shaojian Wang2, Chunshan Zhou3, Ming Li4.   

Abstract

Technological progress is widely considered to play an important role in reducing air pollution. While growing literature has explored the effects of technological progress on environmental quality, fewer studies have considered the varied effects exerted by different technological progress paths on PM2.5 concentrations. This paper explored the relationship between two different kinds of technological progress (indigenous innovation and technology diffusion) and PM2.5 concentrations. Indigenous innovation was in this study considered to be composed by research and development investment (R&D) and import technology (IM); technology diffusion was represented by foreign direction investment (FDI) and export learning effect represent (EX). A panel data model was employed in order to explore the varied impact of these different technological progress paths on PM2.5 concentrations, using data for 48 cities located in China's three most developed urban agglomerations (Beijing-Tianjin-Hebei, the Yangtze River Delta, and the Pearl River Delta), for the period 2000-2015. The results reveal that without control variables, FDI had a significant negative impact on PM2.5 levels in Beijing-Tianjin-Hebei, and EX a significant positive impact. FDI, R&D, and EX were found to positively correlate with PM2.5 levels in the Yangtze River Delta. In Pearl River Delta, R&D presented a significant negative relationship. The findings of this study provide decision makers and industry managers with a scientific basis from which to approach the task of mitigating PM2.5 concentrations through technological progress.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Air pollution; Indigenous innovation; Regional variations; Technology diffusion

Mesh:

Substances:

Year:  2019        PMID: 31419663     DOI: 10.1016/j.envpol.2019.113012

Source DB:  PubMed          Journal:  Environ Pollut        ISSN: 0269-7491            Impact factor:   8.071


  3 in total

1.  The air pollution effect of government economic growth expectations: evidence from China's cities based on green technology.

Authors:  Linhui Wang; Hui Wang; Zhiqing Dong; Shixiang Wang; Zhanglu Cao
Journal:  Environ Sci Pollut Res Int       Date:  2021-01-29       Impact factor: 5.190

2.  Spatio-Temporal Heterogeneity of the Relationships Between PM2.5 and Its Determinants: A Case Study of Chinese Cities in Winter of 2020.

Authors:  Lu Yang; Song Hong; Chao He; Jiayi Huang; Zhixiang Ye; Bofeng Cai; Shuxia Yu; Yanwen Wang; Zhen Wang
Journal:  Front Public Health       Date:  2022-04-11

3.  Influencing factors and trend prediction of PM2.5 concentration based on STRIPAT-Scenario analysis in Zhejiang Province, China.

Authors:  Qiong Zhang; Shuangshuang Ye; Tiancheng Ma; Xuejuan Fang; Yang Shen; Lei Ding
Journal:  Environ Dev Sustain       Date:  2022-09-15       Impact factor: 4.080

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.