Spatial and nonlinear effects of new-type urbanization and technological innovation on industrial carbon dioxide emission in the Yangtze River Delta

被引:19
作者
Zhang, Yazhen [1 ,2 ]
Chen, Xiaoping [1 ,2 ]
机构
[1] Fujian Normal Univ, Sch Math & Stat, Fuzhou, Peoples R China
[2] Fujian Normal Univ, FJKLMAA, Fuzhou, Peoples R China
基金
中国国家自然科学基金;
关键词
Industrial carbon dioxide emissions; New-type urbanization; Low-carbon technological innovation; Spatial spillover effect; Nonlinear relationship; CO2; EMISSIONS; CHINA; PERSPECTIVE; SECTOR; IMPACT;
D O I
10.1007/s11356-022-24113-2
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The purpose of this paper is to quantify the level of new- type urbanization and unravel the spatial and nonlinear effects of new-type urbanization and technological innovation on industrial carbon emissions. Although the impact of traditional urbanization levels on carbon emissions has been widely studied, there is still a huge room for optimization, and the impact of new- type urbanization on carbon emissions has not yet been clarified. Selecting 37 cities in the Yangtze River Delta as a research sample, this paper measures the new-type urbanization based on an evaluation system we build. Consequently, we assess the spatial and nonlinear effects of new-type urbanization and technological innovation on carbon emissions by the spatial Durbin model and non-parameter addictive model, respectively. The results indicate that the new-type urbanization and low-carbon city pilot policy have significant spatial spillover effects on reducing carbon dioxide emissions, while the economic growth plays a positive role in increasing carbon emission. As for nonlinear effects, there is a significant inverted "N"-shaped relationship between the level of new-type urbanization and carbon dioxide emissions, while the nexus between technological innovation and carbon emissions is an inverted "U"-shaped relationship. This paper provides a new perspective for confirming the mechanism of the new-type urbanization on carbon emissions. Meanwhile, these findings are of significance for the relevant authorities in China to develop appropriate policy in carbon dioxide emission reduction.
引用
收藏
页码:29243 / 29257
页数:15
相关论文
共 103 条
  • [31] Impacts of Urban Development on Regional Green Development Efficiency-A Case of the Yangtze River Delta in China
    Li, Dian
    Ziheng, Shangguan
    Huang, Malan
    Zhang, Xinyue
    Tang, Lu
    [J]. ENERGIES, 2022, 15 (13)
  • [32] The impact of land urbanization on carbon dioxide emissions in the Yangtze River Delta, China: A multiscale perspective
    Li, Jianbao
    Huang, Xianjin
    Chuai, Xiaowei
    Yang, Hong
    [J]. CITIES, 2021, 116
  • [33] Impact of China's new-type urbanization on energy intensity: A city-level analysis
    Lin, Boqiang
    Zhu, Junpeng
    [J]. ENERGY ECONOMICS, 2021, 99
  • [34] Carbon emission reduction effect of transportation structure adjustment in China: an approach on multi-objective optimization model
    Lin, Shuangjiao
    Wang, Jian
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (04) : 6166 - 6183
  • [35] Research on the Structure of Carbon Emission Efficiency and Influencing Factors in the Yangtze River Delta Urban Agglomeration
    Liu, Chenxu
    Tang, Ruien
    Guo, Yaqi
    Sun, Yuhan
    Liu, Xinyi
    [J]. SUSTAINABILITY, 2022, 14 (10)
  • [36] Regional differences and driving factors analysis of carbon emission intensity from transport sector in China
    Liu, Jiaguo
    Li, Sujuan
    Ji, Qiang
    [J]. ENERGY, 2021, 224
  • [37] The impact of digital technology development on carbon emissions: A spatial effect analysis for China
    Liu, Jingling
    Yu, Qianhui
    Chen, Yanying
    Liu, Jiaguo
    [J]. RESOURCES CONSERVATION AND RECYCLING, 2022, 185
  • [38] Changes in arable land in response to township urbanization in a Chinese low hilly region: Scale effects and spatial interactions
    Liu, Xinliang
    Wang, Yi
    Li, Yong
    Liu, Feng
    Shen, Jianlin
    Wang, Juan
    Xiao, Runlin
    Wu, Jinshui
    [J]. APPLIED GEOGRAPHY, 2017, 88 : 24 - 37
  • [39] Impacts of Urbanization and Technology on Carbon Dioxide Emissions of Yangtze River Economic Belt at Two Stages: Based on an Extended STIRPAT Model
    Liu, Yiping
    Han, Yuling
    [J]. SUSTAINABILITY, 2021, 13 (13)
  • [40] Assessing the impact of emissions trading scheme on low-carbon technological innovation: Evidence from China
    Liu, Zhonglu
    Sun, Haibo
    [J]. ENVIRONMENTAL IMPACT ASSESSMENT REVIEW, 2021, 89