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Academic Journal of Business & Management, 2024, 6(1); doi: 10.25236/AJBM.2024.060119.

Research on Industrial Carbon Emissions and Industrial Development in Guangxi under the Constraint of "Dual Carbon" Goals from the Perspective of LMDI and Tapio

Author(s)

Li Gang1, Huang Huicong2

Corresponding Author:
Li Gang
Affiliation(s)

1,2School of Economics and Management, Guangxi Normal University, Guilin, China

Abstract

China, as the only country globally with a complete range of industrial sectors, holds a significant proportion of its national GDP in the industrial sector. However, under the constraints of the "dual carbon" targets, energy conservation and emission reduction efforts are being carried out nationwide. An inevitable question arises: how can underdeveloped regions achieve energy conservation and emission reduction? Based on relevant data from the Guangxi Zhuang Autonomous Region from 2010 to 2019, this paper employs a dual perspective from Tapio and LMDI to decompose and analyze the factors influencing industrial carbon emissions in Guangxi. The study reveals that Guangxi's industry is currently at a crucial juncture of transitioning from weak decoupling to strong decoupling, with industrial sector scale having the most significant impact on industrial carbon emissions in Guangxi. Furthermore, the industrial energy structure still predominantly relies on the consumption of fossil energy. Finally, policy recommendations for industrial emission reduction in Guangxi are proposed.

Keywords

Dual Carbon, LMDI, Tapio, Industrial Carbon Emissions, Industrial Energy Structure

Cite This Paper

Li Gang, Huang Huicong. Research on Industrial Carbon Emissions and Industrial Development in Guangxi under the Constraint of "Dual Carbon" Goals from the Perspective of LMDI and Tapio. Academic Journal of Business & Management (2024) Vol. 6, Issue 1: 133-140. https://doi.org/10.25236/AJBM.2024.060119.

References

[1] Xi Yongqin, Ji Xing. Empirical Study on Carbon Emission Efficiency in China's Industrial Industry: Application of SBM Superefficiency Model and DEA Window Method Considering Unexpected Output [J]. Science and Technology Management Research, 2019, 39 (17): 53-62.

[2] Zhou Wuqi, Nie Ming. Research on Regional Differences in Carbon Emission Efficiency of China's Industry: An Empirical Analysis Based on Non parametric Frontiers [J]. Quantitative Economic and Technological Research, 2012,29 (09): 58-70+161

[3] Zhang Fan, Wang Shuzhong, Li Yanhui, et al. Analysis of carbon emissions in manufacturing industry in China and suggestions for emission reduction [J]. Progress of Chemical Industry, 2022, 41(3): 1645-1653.

[4] Han Liping, Li Mingda, Liu Jiong. Research on the Factors Influencing Carbon Emissions in China's Logistics Industry and Industry Correlation [J]. Journal of Beijing Jiaotong University (Social Sciences Edition), 2022, 21 (01): 86-93.

[5] Cheng Yanjun, Zhang Liang, Wang Huansong, etc Exploring the Carbon Emission Characteristics of China's Paper Industry and the Path of "Dual Carbon" Goals [J]. China Paper, 2022, 41 (4): 1-5.

[6] Zhang Longqiang, Jian Chen. Discussion on the realization of "peak carbon dioxide emissions" in iron and steel industry and suggestions on reducing carbon[J] . China Metallurgy, 2021, 31(9): 21-25, 52.

[7] Bian Yu, Lin Xueqin, Zhou Xiao, et al. The spatiotemporal evolution characteristics and influencing factors of industrial carbon emissions in the Beijing Tianjin Hebei region [J]. Environmental Science and Technology, 2021, 44 (11): 37-47.

[8] Dai Shengli , Zhang Weimin ,Analysis of the Impact and Trend of Industrial Carbon Emissions in Six Central Provinces [J]. Industrial Technology and Economics, 2022, 41 (4): 152-160.

[9] Li Qigeng, Feng Yanting, Yu Mingyang. Research on the Impact of Environmental Regulations on Industrial Energy Conservation and Emission Reduction: Based on System Dynamics Simulation [J]. East China Economic Management, 2020,34 (05): 64-72. 

[10] Jiang Shengsheng, Zhu Yongjie. Correlation analysis of carbon emissions and industrial upgrading in China's industrial sectors[J] . Resource Development and Market, 2013, 29(9): 940-944.

[11] Han Chuan. Analysis of the Impact of Technological Progress on Industrial Carbon Emissions in China [J]. Journal of Dalian University of Technology (Social Sciences Edition), 2018,39 (02): 65-73

[12] Andersen M S. Do "gren'taxes work? Decoupling environmental pressures and economic growth[J].Public Policy Research, 2005, 12(2) : 79-84.

[13] Lu Zhongwu, Wang Heming, Yue Qiang. Theoretical research on decoupling index-and decoupling curve and national examples [C]//Proceedings of the 2010 National Energy and Thermal Engineering Academic Annual Conference (conference report), 2010: 6-14.

[14] Tapio P.Towards a theory of decoupling degrees of decoupling in the EU and the case of road traffic in finland between 1970and 2001[J].Transport Policy,2005,12(2):137-151.

[15] Zhang Lingling, Che Li, Wang Zongzhi, et al. Study on the evolution and driving factors of decoupling relationship between water pollution and economy in the Yangtze River Economic Belt [J]. Water Resources and Hydropower Technology (in Chinese and English), 2021, 52(12): 47-59.

[16] Hu Huaimin, Zuo Wei, Xu Shiyuan. Study on the decoupling effect and driving factors of carbon emissions from transportation energy in the Yangtze River Economic Belt[J]. Resources and Environment in the Yangtze River Basin, 2022, 31(4): 862-877.

[17] Ma Ying, Shao Changxiu. Analysis of Factors Influencing Carbon Emissions from Energy Consumption in the North Shanghai Tianjin Region Based on LMDI and Study on Decoupling Effect [J]. Journal of Gansu Science, 2022, 34 (01): 124-132