Empirical Analysis of Influencing Factors on the Changes in Energy Consumption Structure in Jiangxi Province

Xiaoyan Xu

doi:10.54097/85apaa19

Authors

Xiaoyan Xu

DOI:

https://doi.org/10.54097/85apaa19

Keywords:

Jiangxi Province, Energy Consumption Structure, Linear Regression, Autocorrelation, Multicollinearity

Abstract

With the rapid development of China's economy, the problems of low efficiency in energy and resource utilization and the continuous deterioration of environmental quality have become increasingly prominent. As one of the important energy bases in China, Jiangxi Province's energy consumption structure not only has a significant impact on the national energy pattern, but also plays a certain role in the global energy and environmental situation. Therefore, conducting an in-depth study of the influencing factors of the clean energy consumption structure in Jiangxi Province is of great practical significance for promoting the sustainable development of regional energy. Based on the relevant data of energy consumption in Jiangxi Province from 2009 to 2023, this study conducted an empirical analysis of the influencing factors of changes in the consumption structure of clean energy using a multiple linear regression model. Through parameter estimation, hypothesis testing, model diagnosis and correction, a relatively reasonable regression model was finally determined. The research results show that the level of economic development, energy prices and technological level are the key factors influencing the consumption structure of clean energy in Jiangxi Province, among which the impact of energy prices is the most significant. Based on the above conclusions, this paper puts forward several management suggestions, with the aim of providing reference and inspiration for the adjustment and optimization of the energy structure in Jiangxi Province.

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References

[1] Shao Shuai, Zhang Ke, Dou Jianmin. The Energy Conservation and Emission Reduction Effects of Economic Agglomeration: Theory and Chinese Experience [J]. Management World, 2019, 35(01): 36-60+226.

[2] Han Zhiyong, Wei Yiming, Jiao Jianling, et al. Analysis of Cointegration and Causal Relationship between Energy Consumption and Economic Growth in China [J]. Systems Engineering, 2004, (12): 17-21.

[3] Zhao Jinwen, Fan Jitao. An Empirical Study on the Intrinsic Dependence Relationship between Economic Growth and Energy Consumption [J]. Economic Research Journal, 2007, (08): 31-42.

[4] Peng Jiawen, Huang Xianjin, Zhong Taiyang, et al. Research on the Decoupling of China's Economic Growth and Energy Carbon Emissions [J]. Resources Science, 2011, 33(04): 626-633.

[5] Shao Shuai, Fan Meiting, Yang Lili. Economic Structure Adjustment, Green Technology Progress and China's Low-Carbon Transformation and Development: An Empirical Investigation from the Perspective of Overall Technological Frontiers and Spatial Spillover Effects [J]. Management World, 2022,38(02): 46-69+4-10.

[6] Zhou Shaosen, Zhang Yang, Luo Xubin. Research on the Coordination Degree between the Scale Structure of Higher Education and Economic Development: A Case Study of Jiangxi [J]. Jiangxi Social Sciences, 2018, 38(01): 74-83.

[7] Liang Wei, Liu Manfeng. Research on the Coupled and Coordinated Development of Strategic Emerging Industries and Regional Economy: A Case Study of Jiangxi Province [J]. East China Journal of Economic Management, 2016, 30(05): 14-19.

[8] Li Liqing, Huang Jiawen, Yang Sule, et al. Research on the Coupled and Coordinated Development of Medical Resource Allocation and High-Quality Economic Development in Jiangxi Province from the Perspective of Healthy China [J]. Chinese Health Economics, 2022,41(11): 42-47.

[9] Huang Shuhua, Liu Feiren, Gong Ming. Research on the Development of Electronic Information Industry in Jiangxi Province: From the Perspective of Digital Economy [J]. Price Monthly, 2020, (12): 82-88.

[10] Fang Yuan, Zhang Wanyi, Cao Jiawen, et al. Current Situation and Development Trend of Energy Resources in China [J]. Mineral Resources Protection and Utilization, 2018, (04): 34-42+47.

[11] Liu Huajun, Liu Chuanming, Sun Yanan. Research on the Structural Characteristics and Effects of Spatial Correlation Network of Energy Consumption in China [J]. China Industrial Economics, 2015, (05): 83-95.

[12] Wang Shuangming Thoughts on the Dominant Energy Status of Coal in China and Green Mining [J]. China Coal, 2020, 46 (02): 11-16.

[13] Wang Shaojian, Su Yongxian, Zhao Yabo. Regional Differences, Spatial Spillover Effects and Influencing Factors of Carbon Emissions from Urban Energy Consumption in China [J] Acta Geographica Sinica, 2018, 73(03): 414-428.

[14] Jin Du, Liu Xinping. China's Energy Structure Transformation: Carbon Emission Reduction Effects, Driving Factors and Exploration of Carbon Peak [J]. Journal of Safety and Environment, 2024, 24(12): 4908-4916.

[15] Chen Yanling, Wang Toujing, Zhan Mingjin, et al. Changes in Energy Consumption Carbon Emissions and Their Influencing Factors in Jiangxi Province from 2000 to 2019 [J]. Meteorological and Disaster Reduction Research, 2022, 45(01): 38-45.

[16] Song Xu, Jia Junsong, Chen Chundi, et al. Spatio-temporal characteristics, decoupling relationship and driving factors of energy consumption and carbon emissions in Jiangxi Province [J]. Acta Ecologica Sinica, 2020, 40(20): 7451-7463.

[17] Wang Lingling Empirical Research on the Relationship between Energy Consumption and Economic Growth in Jiangxi Province [J]. Business and Management,2017,(12):84-87.