Next Article in Journal
The Technology Acceptance on AR Memorable Tourism Experience—The Empirical Evidence from China
Next Article in Special Issue
Does Climate Policy Uncertainty Abate Financial Inclusion? An Empirical Analysis Through the Lens of Institutional Quality and Governance
Previous Article in Journal
A Comprehensive Methodological Approach for the Assessment of Urban Identity
Previous Article in Special Issue
International Trade and Carbon Emissions: Evaluating the Role of Trade Rule Uncertainty
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Understanding the Nonlinear Impact of Information and Communication Technology on Carbon Emissions in the Logistics Industry of China

1
School of Economics, Jiangsu University of Technology, Changzhou 213001, China
2
College of Architectural Science and Engineering, Yangzhou University, Yangzhou 225127, China
3
Shiliang Law School, Changzhou University, Changzhou 213164, China
*
Author to whom correspondence should be addressed.
Sustainability 2023, 15(18), 13351; https://doi.org/10.3390/su151813351
Submission received: 22 July 2023 / Revised: 28 August 2023 / Accepted: 29 August 2023 / Published: 6 September 2023
(This article belongs to the Special Issue New Challenges to Energy Transition and Sustainable Development)

Abstract

Information and communication technology (ICT) has broken the boundaries of traditional geographical space, and thus substantially promoted the development of the logistics industry. However, the effect of ICT on the carbon emissions of the logistics industry (CELI) has not been systematically explained. With Chinese provincial data from 2000 to 2018, this paper uses static and dynamic panel models and three robustness test methods to unveil the nonlinear impact of ICT (taking Internet usage as a proxy) on CELI. Some significant findings are concluded in this paper. (1) The relationship between Internet usage and CELI is inverted U-shaped, with the curve’s inflection point emerging in 2015. (2) The formation of the inverted U-shaped relationship is determined by the different roles of total factor productivity (TFP) and the express delivery business of the logistics industry. Specifically, Internet usage plays a positive role in TFP, which reduces carbon emissions but simultaneously increases carbon emissions by promoting the development of express delivery business. (3) The relationship between Internet usage and CELI is an inverted U-shape in the eastern and western regions, while in the central region, the relationship is linear. According to the findings, some policies at country, region and enterprise levels are highlighted in order for policymakers to utilize ICT to achieve reductions in carbon emissions.
Keywords: carbon emissions; logistics industry; information and communication technology; internet penetration rate; inverted U-shaped relationship carbon emissions; logistics industry; information and communication technology; internet penetration rate; inverted U-shaped relationship

Share and Cite

MDPI and ACS Style

Peng, G.; Tang, Y.; Tian, K. Understanding the Nonlinear Impact of Information and Communication Technology on Carbon Emissions in the Logistics Industry of China. Sustainability 2023, 15, 13351. https://doi.org/10.3390/su151813351

AMA Style

Peng G, Tang Y, Tian K. Understanding the Nonlinear Impact of Information and Communication Technology on Carbon Emissions in the Logistics Industry of China. Sustainability. 2023; 15(18):13351. https://doi.org/10.3390/su151813351

Chicago/Turabian Style

Peng, Geng, Yixuan Tang, and Kaiyou Tian. 2023. "Understanding the Nonlinear Impact of Information and Communication Technology on Carbon Emissions in the Logistics Industry of China" Sustainability 15, no. 18: 13351. https://doi.org/10.3390/su151813351

APA Style

Peng, G., Tang, Y., & Tian, K. (2023). Understanding the Nonlinear Impact of Information and Communication Technology on Carbon Emissions in the Logistics Industry of China. Sustainability, 15(18), 13351. https://doi.org/10.3390/su151813351

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop