CO2 emission spillover effects in the digital transformation of China's manufacturing industry and its inter-industry differences

被引:5
|
作者
Zhang, Wei [1 ]
Zhang, Ting [2 ]
Wang, Shaohua [1 ]
Li, Hangyu [3 ]
机构
[1] Yanshan Univ, Sch Econ & Management, Qinhuangdao 066004, Peoples R China
[2] Jilin Univ, Sch Econ, Changchun 130012, Peoples R China
[3] Northeastern Univ, Sch Business Adm, Shenyang 110819, Peoples R China
基金
中国国家自然科学基金;
关键词
Digital transformation; CO2 emission spillover effect; Perpetrator effect; Victim effect; sigma-convergence model; ss-convergence model; CARBON-DIOXIDE EMISSIONS; ENERGY-CONSUMPTION; CONVERGENCE; ICT; GROWTH;
D O I
10.1016/j.egyr.2023.06.016
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The digital economy now drives China's new economic growth. However, with various industries' digital transformation (DT), the consequent environmental pollution problems must be addressed. To achieve a better balance between economic growth and environmental protection, digitalization and carbon dioxide (CO2) emissions reduction targets should be achieved. In promoting the DT of manufacturing, it is essential to consider the industry's CO2 emissions and the CO2 emission spillover effects (CO2SE). This paper first constructs a model of CO2SE generated and suffered in the DT of industries using input-output techniques, i.e., the perpetrator and victim effects, and measures these effects. Then, the cross-sectional inter-industry differences and vertical time-series characteristics are analyzed based on the measurement results. Finally, the convergence test of CO2 emission spillover effects in the digital transformation (CO2SE-DT) of China's manufacturing industry is conducted, and the test results are analyzed. The research results show that (1) digital infrastructure-dependent and technology-intensive manufacturing have the largest CO2SE-DT, followed by capital-intensive and labor-intensive manufacturing in that order. (2) The whole victim effect in the DT of China's manufacturing industry shows an "N"trend. In addition, according to the time-series changes of the perpetrator effect in the DT of China's manufacturing industry between 2000 and 2014, China's manufacturing industry can be classified into three types: stable, fluctuating downward, and fluctuating upward, among which the fluctuating upward type is the key industry of concern for CO2 emissions. (3) There is no gradual decrease in the industry differences in CO2SE-DT of China's manufacturing industry, but manufacturing industries with low CO2SE-DT levels have faster growth rates compared with high-level manufacturing industries and eventually achieve convergence of CO2SE-DT rate of change. However, there is a significant difference in the results of the industry difference analysis for different types of manufacturing industries. (c) 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码:520 / 534
页数:15
相关论文
共 50 条
  • [1] The impact of inter-industry R&D technology spillover on carbon emission in China
    Jiao, Jianling
    Yang, Yufei
    Bai, Yu
    NATURAL HAZARDS, 2018, 91 (03) : 913 - 929
  • [2] Inter-Industry Linkages, Energy and CO2 Multipliers of the Electric Power Industry in Thailand
    Muangthai, Isara
    Lin, Sue J.
    Lewis, Charles
    AEROSOL AND AIR QUALITY RESEARCH, 2016, 16 (08) : 2033 - 2047
  • [3] Why are there large regional differences in CO2 emissions? Evidence from China's manufacturing industry
    Xu, Renjing
    Lin, Boqiang
    JOURNAL OF CLEANER PRODUCTION, 2017, 140 : 1330 - 1343
  • [4] Analyzing and forecasting CO2 emission reduction in China's steel industry
    Gao, Chengkang
    Wang, Dan
    Zhao, Baohua
    Chen, Shan
    Qin, Wei
    FRONTIERS OF EARTH SCIENCE, 2015, 9 (01) : 105 - 113
  • [5] The driving factors and future changes of CO2 emission in China's nonferrous metal industry
    Xu, Chengzhen
    Chen, Qingjuan
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (30) : 45730 - 45750
  • [6] Potential of energy savings and CO2 emission reduction in China's iron and steel industry
    An, Runying
    Yu, Biying
    Li, Ru
    Wei, Yi-Ming
    APPLIED ENERGY, 2018, 226 : 862 - 880
  • [7] Spillover effects of railway and road on CO2 emission in China: A spatiotemporal analysis
    Wang, Luqi
    Zhao, Zebin
    Xue, Xiaolong
    Wang, Yinhai
    JOURNAL OF CLEANER PRODUCTION, 2019, 234 : 797 - 809
  • [8] Modeling the effects of digital transformation in Indian manufacturing industry
    Singh, Shiwangi
    Sharma, Meenakshi
    Dhir, Sanjay
    TECHNOLOGY IN SOCIETY, 2021, 67
  • [9] Driving factors and predictions of CO2 emission in China's coal chemical industry
    Zhang, Lingyun
    Shen, Qun
    Wang, Minquan
    Sun, Nannan
    Wei, Wei
    Lei, Yang
    Wang, Yangjun
    JOURNAL OF CLEANER PRODUCTION, 2019, 210 : 1131 - 1140
  • [10] How Much CO2 Emissions Can Be Reduced in China's Heating Industry
    Lin, Jing
    Lin, Boqiang
    SUSTAINABILITY, 2016, 8 (07)