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Carbon Emissions and Socioeconomic Drivers of Climate Change: Empirical Evidence from the Logarithmic Mean Divisia Index (LMDI) Base Model for China

Fu Hua, Majed Alharthi, Weihua Yin, Muhammad Saeed, Ishtiaq Ahmad and Syed Ahtsham Ali
Additional contact information
Fu Hua: School of Economics, Southwestern University of Finance and Economics, 555 Liutai Avenue, Wenjiang District, Chengdu 611130, China
Majed Alharthi: Department of Finance, College of Business, King Abdulaziz University, P.O. Box 344, Rabigh 21911, Saudi Arabia
Weihua Yin: Business School, Shanghai Jianqiao University, Shanghai 201306, China
Muhammad Saeed: Office of Research Innovation and Commercialization, University of Management and Technology, C-II Block C 2 Phase 1 Johar Town, Punjab, Lahore 54770, Pakistan
Ishtiaq Ahmad: Department of Economics, The Islamia University of Bahawalpur, Bahawalpur 63100, Pakistan
Syed Ahtsham Ali: Business School, Shanghai Jianqiao University, Shanghai 201306, China

Sustainability, 2022, vol. 14, issue 4, 1-12

Abstract: The main objective of the present study was to examine the impact of socioeconomic factors on environmental degradation or preservation using the logarithmic mean disivia index (LMDI). The study used the latest data from thirty Chinese provinces from 2012 to 2020. Pooled mean group (PMG) results were estimated to determine the long-term and short-term impact of the aforementioned compound variables on carbon emissions. The study results revealed that population growth, per capita GDP growth, and fossil fuel-led energy consumption, positively impacted environmental degradation in China at the provincial level. However, clean energy intensity and a transition towards renewable energy in China are helping to reduce carbon emissions. Similarly, clean energy intensity is also helping to lower carbon emissions. The study proposed that at the provincial level, joint efforts were required to control environmental degradation in China. The positive impact of renewable energy intensity on carbon emissions encourages the transition from fossil fuels to clean energy sources for environmentally friendly growth.

Keywords: logarithmic mean divisia index; pooled mean group; CO 2 emission; socioeconomic drivers; climate change (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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