Dynamic evolution, spatial spillover effect of technological innovation and haze pollution in China

被引:53
|
作者
Liu, Xiaohong [1 ]
机构
[1] Nanjing Xiao Zhuang Univ, Coll Business, Low Carbon Econ, 3601 Hongjign Rd, Nanjing 211171, Jiangsu, Peoples R China
关键词
Haze pollution; technological innovation; kernel density; spatial econometric model; ENVIRONMENTAL KUZNETS CURVE; ECONOMIC-GROWTH; REGIONAL DIFFERENCES; IMPACT; PM2.5; POPULATION; EMISSIONS; CITIES; ENERGY; TRADE;
D O I
10.1177/0958305X18765249
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study investigates 30 provinces in China between 2003 and 2014. Kernel density method is used to analyse the dynamic evolution of haze pollution and technological innovation research and development (R&D), while spatial econometric analysis is used to study the impact of technological innovation on the haze pollution. The results show that haze pollution presents global spatial autocorrelation and local spatial cluster in China. China's haze pollution has a significant spatial dependence and spatial spillover. A disproportion distribution pattern of haze pollution exists among provinces in China: the central region is the most polluted area followed by the western region, the northeast region and the eastern region. The kernel density curve shows that the gap between technology innovations R&D among provinces has expanded year by year. There is a polarization between the technological innovations R&D. Dynamic evolution results showed that during 2003-2012, the kernel density distribution curve of haze pollution showed a leftward shift, indicating that provincial haze pollution decreased gradually. However, the kernel density distribution curve of haze pollution showed a rightward shift in 2014, and the provincial haze pollution increased. During 2003-2012, the gap of haze pollution among different provinces in China gradually narrowed, while in 2014, the gap increased significantly. Spatial econometric results show that the indirect effects and the total effects of technological innovation are significantly negative. Technological innovation can not only reduce the regional haze pollution but also indirectly lead to the decline in the haze pollution of adjacent provinces through the knowledge spillover effect. The increase of population density can effectively reduce the haze pollution. There is an inverted 'U type' relationship between economic development and haze pollution. The increase of traffic pressure will aggravate the degree of haze pollution.
引用
收藏
页码:968 / 988
页数:21
相关论文
共 50 条
  • [11] Directional spatial spillover effects and driving factors of haze pollution in North China Plain
    Zhou, Hao
    Jiang, Mingdong
    Huang, Yumeng
    Wang, Qi
    RESOURCES CONSERVATION AND RECYCLING, 2021, 169
  • [12] Spatial Spillover Effect and Sources of City-Level Haze Pollution in China: A Case Study of Guangdong Provinces
    Liao, Shiming
    Wang, Dong
    Liang, Zhijun
    Xia, Changyou
    Guo, Hao
    Zhao, Wenjia
    POLISH JOURNAL OF ENVIRONMENTAL STUDIES, 2020, 29 (05): : 3213 - 3223
  • [13] Dynamic spatial spillover effect of urbanization on environmental pollution in China considering the inertia characteristics of environmental pollution
    Liu, Xiaorui
    Sun, Tao
    Feng, Qiang
    SUSTAINABLE CITIES AND SOCIETY, 2020, 53 (53)
  • [14] Heterogeneous industrial agglomeration, technological innovation and haze pollution
    Liu, Yazhou
    Ren, Tiantian
    Liu, Lijun
    Ni, Jinlan
    Yin, Yingkai
    CHINA ECONOMIC REVIEW, 2023, 77
  • [15] Will Policy Uncertainty Deteriorate Haze Pollution? A Spatial Spillover Perspective
    Qi, Xiulin
    Wang, Xin
    Jin, Xiao
    Wang, Zhenyu M.
    Zhang, Beibei
    Wen, Chuanhao
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2021, 18 (19)
  • [16] The effect of the industrial structure and haze pollution: spatial evidence for China
    Tao Ma
    Xiaoxi Cao
    Environmental Science and Pollution Research, 2022, 29 : 23578 - 23594
  • [17] The relationship between industrial restructuring and China's regional haze pollution: A spatial spillover perspective
    Chen, Shengming
    Zhang, Yang
    Zhang, Yabin
    Liu, Zhenxi
    JOURNAL OF CLEANER PRODUCTION, 2019, 239
  • [18] The effect of the industrial structure and haze pollution: spatial evidence for China
    Ma, Tao
    Cao, Xiaoxi
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (16) : 23578 - 23594
  • [19] Haze Pollution Levels, Spatial Spillover Influence, and Impacts of the Digital Economy: Empirical Evidence from China
    Zhou, Jie
    Lan, Hanlin
    Zhao, Cheng
    Zhou, Jianping
    SUSTAINABILITY, 2021, 13 (16)
  • [20] The spatial spillover effects of haze pollution on inbound tourism: evidence from mid-eastern China
    Xu, Dong
    Huang, Zhenfang
    Hou, Guolin
    Zhang, Chen
    TOURISM GEOGRAPHIES, 2020, 22 (01) : 83 - 104