Structural effects of provincial digital economy on carbon emissions within China: A multi-region input-output based structural decomposition analysis

被引:6
|
作者
Hong, Jingke [1 ]
Huang, He [2 ]
Wang, Xianzhu [3 ]
Dockerill, Bertie [4 ]
Ye, Jiexu [5 ]
Zhang, Shihan [5 ]
机构
[1] Chongqing Univ, Sch Construct Management & Real Estate, Chongqing 400045, Peoples R China
[2] Tsinghua Univ, Dept Construct Management, Beijing 100000, Peoples R China
[3] Anhui Univ Technol, Sch Business, Huainan 243200, Anhui, Peoples R China
[4] Univ Manchester, Planning & Environm Management, SEED, Manchester, England
[5] Zhejiang Univ Technol, Coll Environm, Hangzhou 310014, Zhejiang, Peoples R China
关键词
Digital economy; Carbon emissions; Downscale structural decomposition analysis; Regional heterogeneity and coordination; Pulling and pushing effects; ENERGY; INTENSITY; INFORMATION; INDUSTRY;
D O I
10.1016/j.scitotenv.2024.173140
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The digital economy, serving as a new engine to boost China's economic growth, inevitably affects carbon emissions given both its green features and its potential demands for energy inputs. To investigate the provincelevel impacts of the digital economy on carbon emissions, this study splits the digital industry from the multiregional input-output table, and adopts a downscale structural decomposition analysis to reveal the technological, structural, and scale effects of the digital economy on carbon emissions. The results show that: (1) the expansion of digital economy increased 186.3 Mt of carbon emissions at the aggregate level during the investigated period (2012-2017) and that, therefore, the direct structural effects of the digital economy played a leading role in emission reduction (-156 Mt); (2) in terms of heterogeneity, most provinces presented a U distribution with the structural mitigation effect at the bottom and highly-developed provinces generated significant negative spillover effects; (3) from a regional coordination perspective, digital production achieved greater carbon emission reductions in the eastern and western areas of the country, while the northeastern and central regions gained environmental benefits via digital applications. The main conclusions thus enhance existent understanding of China's digital economy and low-carbon development, and the paper also proffers corresponding policy recommendations, e.g., accelerating the convergence of digital economy and traditional industries to promote carbon emissions reduction.
引用
收藏
页数:14
相关论文
共 50 条
  • [1] Input-output and structural decomposition analysis of Singapore's carbon emissions
    Su, Bin
    Ang, B. W.
    Li, Yingzhu
    ENERGY POLICY, 2017, 105 : 484 - 492
  • [2] Drivers of metal consumption in China: An input-output structural decomposition analysis
    Song, Yi
    Huang, Jianbai
    Zhang, Yijun
    Wang, Zhiping
    RESOURCES POLICY, 2019, 63
  • [3] Input-output analysis of CO2 emissions embodied in trade: A multi-region model for China
    Su, Bin
    Ang, B. W.
    APPLIED ENERGY, 2014, 114 : 377 - 384
  • [4] Potential determinants affecting the growth of China?s ocean economy: An input-output structural decomposition analysis
    Zheng, Li
    Zou, Hongyang
    Duan, Xiaofeng
    Lin, Zhongguo
    Du, Huibin
    MARINE POLICY, 2023, 150
  • [5] Drivers of China's carbon dioxide emissions: Based on the combination model of structural decomposition analysis and input-output subsystem method
    Liu, Manzhi
    Yang, Xiaotao
    Wen, Jixin
    Wang, Hui
    Feng, Ying
    Lu, Jia
    Chen, Huayang
    Wu, Jixin
    Wang, Jinfeng
    ENVIRONMENTAL IMPACT ASSESSMENT REVIEW, 2023, 100
  • [6] Influencing mechanism of energy-related carbon emissions in Xinjiang based on the input-output and structural decomposition analysis
    Wang, Changjian
    Wang, Fei
    Zhang, Xiaolei
    Zhang, Hongou
    JOURNAL OF GEOGRAPHICAL SCIENCES, 2017, 27 (03) : 365 - 384
  • [7] Influencing mechanism of energy-related carbon emissions in Xinjiang based on the input-output and structural decomposition analysis
    Changjian Wang
    Fei Wang
    Xiaolei Zhang
    Hongou Zhang
    Journal of Geographical Sciences, 2017, 27 : 365 - 384
  • [8] Structural Decomposition Analysis of China's Industrial Energy Consumption Based on Input-Output Analysis
    Huang, X. Y.
    Zhou, J. Q.
    Wang, Z.
    Deng, L. C.
    Hong, S.
    2017 INTERNATIONAL CONFERENCE ON ENVIRONMENTAL AND ENERGY ENGINEERING (IC3E 2017), 2017, 63
  • [9] Energy-related carbon emissions and structural emissions reduction of China's construction industry: the perspective of input-output analysis
    Jiang, Tangyang
    Li, Shuangqi
    Yu, Yang
    Peng, Yufang
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (26) : 39515 - 39527
  • [10] Input-output and structural decomposition analysis of India's carbon emissions and intensity, 2007/08-2013/14
    Zhu, Bangzhu
    Su, Bin
    Li, Yingzhu
    APPLIED ENERGY, 2018, 230 : 1545 - 1556