Digital transformation and carbon intensity reduction in transportation industry: Empirical evidence from a global perspective

被引:28
|
作者
Huang, Yanxi [1 ,2 ]
Hu, Min
Xu, Jiajun [3 ]
Jin, Zhida [1 ,2 ]
机构
[1] Wuhan Univ Technol, Sch Econ, Wuhan 430070, Peoples R China
[2] Wuhan Univ Technol, Hubei Key Lab Fuel Cell, Wuhan 430070, Peoples R China
[3] Wuhan Univ, Sch Econ & Management, Wuhan 430072, Peoples R China
关键词
Digital transformation; Transportation industry; Carbon intensity; Paris agreement; ECONOMIC-GROWTH; EMISSIONS; ICT;
D O I
10.1016/j.jenvman.2023.118541
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Digital transformation has become an inevitable trend in industrial development, but research on its environ-mental benefits has not been conducted in-depth. This paper focuses on the impact and mechanisms of the digital transformation of the transportation industry on its carbon intensity. Empirical tests are conducted based on the panel data of 43 economies from 2000 to 2014. The results show that the digital transformation of the trans-portation industry reduces its carbon intensity, but only the digital transformation that relies on domestic digital sources is significant. Second, technological progress, upgrading the industry's internal structure and improving energy consumption are the main channels through which the digital transformation of the transportation in-dustry reduces its carbon intensity. Third, in terms of subdividing industries, the digital transformation of basic transportation has a more significant effect on reducing carbon intensity. For segmentation digitization, the carbon intensity reduction from digital infrastructure is more significant. This paper serves as a reference for countries to formulate development policies for the transportation industry and implement the Paris Agreement.
引用
收藏
页数:7
相关论文
共 50 条
  • [21] Strategic analysis and development plan design on digital transformation in the energy industry: A global perspective
    Liu, Pingkuo
    Lu, Cunyu
    [J]. INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 2021, 45 (14) : 19657 - 19670
  • [22] The impact of green transformation in data centers on corporate carbon emission reduction: empirical evidence from China
    Yin, Zhixiang
    Wang, Haisen
    [J]. ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY, 2024,
  • [23] Digital transformation and synergistic reduction in pollution and carbon Emissions--An analysis from a dynamic capability perspective
    Chong, Yu
    Zhang, Yun
    Di, Danyang
    Chen, Yanru
    Wang, Shushan
    [J]. ENVIRONMENTAL RESEARCH, 2024, 261
  • [24] Impact of digital finance on energy-based carbon intensity: Evidence from mediating effects perspective
    Sun, Bing
    Li, Jian
    Zhong, Shen
    Liang, Tian
    [J]. JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2023, 327
  • [25] The drivers of carbon intensity and emission reduction strategies in heavy industry: Evidence from nonlinear and spatial perspectives
    Ke, Nan
    Chen, Jianbao
    Cheng, Tingting
    [J]. ECOLOGICAL INDICATORS, 2024, 160
  • [26] Evolution of carbon emissions in China's digital economy: An empirical analysis from an entire industry chain perspective
    Li, Yuanjie
    Li, Na
    Li, Zibiao
    [J]. JOURNAL OF CLEANER PRODUCTION, 2023, 414
  • [27] The Carbon Emission Reduction Effect of Technological Innovation on the Transportation Industry and Its Spatial Heterogeneity: Evidence from China
    Shi, Tao
    Si, Shucun
    Chan, Jian
    Zhou, Lingling
    [J]. ATMOSPHERE, 2021, 12 (09)
  • [28] Can digital economy development contribute to urban carbon emission reduction? - Empirical evidence from China
    Li, Chenyang
    Zhou, Weisheng
    [J]. JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2024, 357
  • [29] Digital transformation and total factor productivity: Empirical evidence from China
    Lei, Zhonghao
    Wang, Dongmei
    [J]. PLOS ONE, 2023, 18 (10):
  • [30] Lean transportation tools towards waste reduction and digital transformation in the offshore industry: an action-research
    Gomes, Joici Mendonca Muniz
    Caiado, Rodrigo Goyannes Gusmao
    Mareth, Taciana
    Santos, Renan Silva
    Scavarda, Luiz Felipe
    [J]. INTERNATIONAL JOURNAL OF LEAN SIX SIGMA, 2024,