Associate Professor Xianming Sun, Executive Deputy Director of the Base, has published a collaborative paper titled "Time-varying impact of information and communication technology on carbon emissions" in Energy Economics.

Abstract:

To investigate the time-varying net environmental impact of Information and Communication Technology (ICT), we apply the local linear dummy variable estimation (LLDVE) method using a panel data consisting of 63 countries for the period 1995–2017. Our analysis reveals that ICT increases CO2 emissions until 2004, while reducing them after 2008, regardless of the national income level. We further uncover that the positive environmental impact of ICT on high-income countries is about 10 times greater than that on middle-income countries over time. These findings indicate that the development of ICT should be encouraged to alleviate carbon emissions on a global scale, especially for middle-income countries, given the benefits of an improved technology absorption rate on the mitigation effect in high income countries.

Key Words: Information and communication technology, (ICT), Carbon emissions, Time-varying coefficient function, Nonparametric panel data

Link：https://doi.org/10.1016/j.eneco.2022.106492

Teacher Profile

Xianming Sun, Ph.D., Executive Deputy Director of Innovation and Talent Base for Digital Technology and Finance, associate professor of Financial Engineering Department, Zhongnan University of Economics and Law, and master tutor. He was awarded as "Chutian Student" of Hubei Province and "Wenlan Young Scholar" of Zhongnan University of Economics and Law. His research interests include Financial Engineering, Financial Technology and related fields. He has published more than 10 papers in important academic journals such as the Journal of Economic Dynamics and Control, Journal of Futures Markets, Journal of Computational and Applied Mathematics, Computational Economics, Statistics and Probability Letters. He is currently leading research projects such as the National Natural Science Foundation of China and the Basic Research Funds of Central universities. The related research has won the Excellent Paper Award of the 16th China Financial Engineering Annual Conference (2017).