The Role of ICT and Renewble Energy Consumption for Carbon Intensity: Evidence from Panel Quantile Regression Approach

34 Pages Posted: 17 Dec 2024

See all articles by Liang Li

Liang Li

Nanjing University of Information Science & Technology (NUIST)

Joseph Fuseini

Nanjing University of Information Science and Technology

Sun Hauping

Jiangsu University

Bangzhu Zhu

Jinan University

Zhenling Chen

Beijing Technology and Business University

Xiaofang Niu

Beijing Technology and Business University

Abstract

This study investigates the effect of Information and Communication Technology (ICT) and internet use on carbon intensity across 100 countries, utilizing an extended stochastic impacts by regression on STIRPAT model with the countries panel data from 2000 to 2021 years. Employing quantile regression analysis, the findings reveal three key insights. First, ICT adoption plays a significant role in reducing carbon intensity. Second, the use of renewable energy has a negative effect on carbon intensity. Third, internet use has a negative effect on carbon intensity. The analysis also highlights the positive contributions of industrial structure and population growth to carbon intensity, underscoring the need for countries to prioritize the expansion of renewable energy. Rather than relying solely on research and development, strategic efforts to improve industrial structure are essential for mitigating carbon intensity and achieving long-term sustainability goals.

Keywords: Information and Communication Technology, Internet use, Renewable Energy Consumption, STIRPAT Model, Carbon intensity

Suggested Citation

Li, Liang and Fuseini, Joseph and Hauping, Sun and Zhu, Bangzhu and Chen, Zhenling and Niu, Xiaofang, The Role of ICT and Renewble Energy Consumption for Carbon Intensity: Evidence from Panel Quantile Regression Approach. Available at SSRN: https://ssrn.com/abstract=5061015 or http://dx.doi.org/10.2139/ssrn.5061015

Liang Li (Contact Author)

Nanjing University of Information Science & Technology (NUIST) ( email )

No.219, Ningliu Road
Nanjing, Jiangsu
China

Joseph Fuseini

Nanjing University of Information Science and Technology ( email )

Nanjing
China

Sun Hauping

Jiangsu University ( email )

Xuefu Rd. 301
Xhenjiang, 212013
China

Bangzhu Zhu

Jinan University ( email )

Huang Pu Da Dao Xi 601, Tian He District
Guangzhou, Guangdong 510632
China

Zhenling Chen

Beijing Technology and Business University ( email )

No. 11/33, Fucheng Road, Haidian District
Liangxiang
Beijing, 102488
China

Xiaofang Niu

Beijing Technology and Business University ( email )

No. 11/33, Fucheng Road, Haidian District
Liangxiang
Beijing, 102488
China

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