Does Technological Innovation Curb O3 Pollution? Evidence from Three Major Regions in China

被引:2
作者
Wang, Wen-jun [1 ]
Liu, Yan-ni [1 ]
Ying, Xin-ru [1 ]
机构
[1] Shaanxi Normal Univ, Sch Int Business, Xian 710119, Peoples R China
关键词
dynamic spatial Dubin model; technological innovation; O-3; pollution; inter-regional differences; RENEWABLE ENERGY-CONSUMPTION; ENVIRONMENTAL KUZNETS CURVE; SURFACE OZONE POLLUTION; CO2; EMISSIONS; ECONOMIC-GROWTH; RIVER DELTA; AIR-QUALITY; IMPACT; URBAN; PRECURSORS;
D O I
10.3390/ijerph19137743
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
At the end of 2020, when China's three-year Blue Sky Protection Campaign was successfully concluded, the main pollutants, led by O-3, increased instead of decreasing, creating a new air pollution problem. In this paper, the impact of the technological innovation level on O-3 pollution and its inter-regional differences across three major regions from 2014 to 2019 are studied using the dynamic spatial Durbin model. Generally, in terms of ozone pollution showing significant spatial correlation, technological innovations in China are still not effective in curbing ozone pollution. Furthermore, technological innovation is a key factor affecting ozone pollution, and it is heterogeneous, demonstrating that the impact of technological innovation on O-3 pollution is different among regions. Technological innovation in Beijing-Tianjin-Hebei significantly reduces local O-3 pollution with spillover, while technological innovation in the Yangtze River Delta instead significantly exacerbates local O-3 pollution, and the impact of technological innovation on O-3 pollution in the Fenwei Plain is not significant. Third, other factors in O-3 pollution also differ between regions, with the number of cars and the amount of foreign capital actually utilized being the main factors. Therefore, we should pay attention to the spillover of O-3 pollution and technological innovation and strengthen regional cooperation according to our own characteristics to effectively suppress O-3 pollution. Finally, the findings of this paper are representative, which provides a possible reference for other similar national or regional studies.
引用
收藏
页数:19
相关论文
共 69 条
  • [11] Testing for linear and log-linear models against Box-Cox alternatives with spatial lag dependence
    Baltagi, BH
    Li, D
    [J]. SPATIAL AND SPATIOTEMPORAL ECONOMETRICS, 2004, 18 : 35 - 74
  • [12] Chen H., 2017, MANAG REV, V29, P85, DOI DOI 10.14120/J.CNKI.CN11-5057/F.2017.06.019
  • [13] Does technological innovation reduce CO2 emissions?Cross-country evidence
    Chen, Yang
    Lee, Chien-Chiang
    [J]. JOURNAL OF CLEANER PRODUCTION, 2020, 263
  • [14] The impact of renewable energy and innovation on carbon emission: An empirical analysis for OECD countries
    Cheng, Cheng
    Ren, Xiaohang
    Wang, Zhen
    [J]. INNOVATIVE SOLUTIONS FOR ENERGY TRANSITIONS, 2019, 158 : 3506 - 3512
  • [15] A novel decomposition analysis of green patent applications for the evaluation of R&D efforts to reduce CO2 emissions from fossil fuel energy consumption
    Cho, Joon Hyung
    Sohn, So Young
    [J]. JOURNAL OF CLEANER PRODUCTION, 2018, 193 : 290 - 299
  • [16] R&D intensity and carbon emissions in the G7: 1870-2014
    Churchill, Sefa Awaworyi
    Inekwe, John
    Smyth, Russell
    Zhang, Xibin
    [J]. ENERGY ECONOMICS, 2019, 80 : 30 - 37
  • [17] Costantini V, 2017, J CLEAN PROD, V155, P141, DOI 10.1016/j.jclepro.2016.09.038
  • [18] EKC analysis for studying economic growth and environmental quality: a case study in China
    Diao, X. D.
    Zeng, S. X.
    Tam, C. M.
    Tam, Vivian W. Y.
    [J]. JOURNAL OF CLEANER PRODUCTION, 2009, 17 (05) : 541 - 548
  • [19] Effects of population and affluence on CO2 emissions
    Dietz, T
    Rosa, EA
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 1997, 94 (01) : 175 - 179
  • [20] Air quality and economic growth: an empirical study
    Dinda, S
    Coondoo, D
    Pal, M
    [J]. ECOLOGICAL ECONOMICS, 2000, 34 (03) : 409 - 423