Research on Regional Differences, Cointegration Relationship and Dynamic Responses of Provincial Carbon Emission Reduction Efficiency in China_Vol. 3 No. 3 (JMSD 2026)_Journal of Management and Social Development (ISSN: 3005-5741)

Home > Journal of Management and Social Development (ISSN: 3005-5741) > Vol. 3 No. 3 (JMSD 2026) >

Research on Regional Differences, Cointegration Relationship and Dynamic Responses of Provincial Carbon Emission Reduction Efficiency in China

Download PDF

DOI: https://doi.org/10.62517/jmsd.202612312

Author(s)

Xiaohua Zou*, Qiuxi Xu

Affiliation(s)

Changzhou University of Information Technology, Changzhou, Jiangsu, China *Corresponding author

Abstract

This paper aims to deeply analyze the carbon emission reduction efficiency in China, contribute to sustainable development, and fulfill China's responsibility in global climate governance. By applying the cointegration analysis method and based on provincial data, this study conducts research on carbon emission reduction efficiency, which can accurately reveal the differences in carbon emission reduction efficiency among regions. Based on the provincial carbon emission efficiency data of China from 2023 to 2000, the study reveals significant differences in carbon emission reduction efficiency among different regions in China. For example, the carbon emissions of developed coastal provinces and energy-rich provinces may be relatively high, while provinces in the central and western regions such as Yunnan and Guizhou may be relatively lower due to the utilization of clean energy such as hydropower and wind power. Factors such as energy structure and economic output levels have been clearly reflected in these data. The economically developed eastern regions have relatively higher carbon emission reduction efficiency due to advanced energy utilization technologies and optimized industrial structures; while the central and western regions, limited by a single energy structure and economic development model, have lower carbon emission reduction efficiency. This paper provides a reference for formulating differentiated and precise carbon emission reduction policies, helping China achieve its carbon emission reduction goals.

Keywords

Carbon Emission Reduction Efficiency; Cointegration; Energy; Economic Output

References

[1]Gu Fangjie, Zhang Wenfeng. Study on the path selection of China’s “Double Carbon” goals from the provincial perspective. China Soft Science, 2023, (7):215-224. [2]Dai Hongbin, Yang Jianke. Study on the Impact of Energy Structure on Green Development. Journal of Shaanxi Academy of Governance, 2019, 33(1): 54-60. [3]Chen Ying, Huang Tao, Tian Lixin. Cointegration analysis of energy structure diversity and energy efficiency with provincial data as example. Journal of Jiangsu University (Natural Science Edition), 2016, 37(2):242-248. [4]Wang Xing, Fan Zhongqi, Zhang Rui. Empirical Analysis on the Relationship between Energy Efficiency and Energy Structure of VAR. Journal of Industrial Technology and Economy, 2016, 35(9): 128-134. [5]Jia Huiting. Energy Efficiency, Industrial Structure and the Environmental Kuznets Curve: An Empirical Analysis Based on Provincial Data of China. Enterprise Economy, 2013, 32(4): 28-32. [6]Li Yang, Zhang Jingwen, Sun Desan. Empirical Analysis of the Relationship between China's Energy Consumption and GDP. China Collective Economy, 2016, (30): 11-12. [7]Guo Bingnan, Cao Guovong. Study on the Measurement of Carbon Emission Efficiency and Emission Reduction Potential in China: An Empirical Analysis Based on the Undesirable SBM Super Efficiency Model. Ecological Economy, 2017, 33(8): 20-24+47. [8]Wang Xin, Fan Min, Xie Yunsheng. Measurement and Analysis of the Full-Element Carbon Emission Efficiency of the Transportation Industry in the Central Six Provinces of SBM-D. Highways & Automotive Applications, 2020 (03): 15-20+24. [9]Dai Rong, Cao Jianhua. Estimation of the Carbon Reduction Effect of China's Energy Structure Adjustment. Statistics & Decision, 2015, 31(7): 117-120. [10]Lu Yanxia, Liang Liping. Relationship between Energy Consumption Carbon Emissions and Economic Growth of Shanxi Province. Coal Technology, 2017, 36(3): 328-330. [11]Yin Shuo, Zhang Yaohui, Yan Jing. The Dynamic Relations among Industrial Structure, Energy Efficiency and Energy Consumption in China-An Empirical Study Based on Co-integration and VECM. East China Economic Management, 2014, 28(7): 53-56+80. [12]Niu Huayong, Zhang Zhishuo, Luo Manting. Evaluation and Prediction of Low-Carbon Economic Efficiency in China, Japan and South Korea: Based on DEA and Machine Learning.4 October 2022, Vol.19, Issue 19. [13]Du Kerui, Zou Chuyuan. Regional Disparity, Affecting Factors and Convergence Analysis of Carbon Dioxide Emission Efficiency in China: On Stochastic Frontier Model and Panel Unit Root. Zhejiang Social Sciences, 2011, (11):32-43+156. [14]Zhao Xinyu, Zhang Tingting, Xie Xiaomin, Peng Yinzhang, Zhao Qi. Analysis of Driving Factors of Carbon Emissions and Decoupling in the Yangtze River Delta Region. Research of Environmental Sciences,2025,38(04):767-776 [15]Bosede Ngozi Adeleye, Darlington Akam, Nasiru Inuwa, Henry Tumba James & Denis Basila. Does globalization and energy usage influence carbon emissions in South Asia? An empirical revisit of the debate. Environmental Science and Pollution Research, 2023, Vol. 30:36190–36207. [16]Liu Guoping. Construction of Low-Carbon Competitiveness Evaluation Model Svstem from the Perspective of Wellbeing Performance of Ecological Input. Ecological Economy.2023, 39(08):19-27. [17]Tao Changqi, Xie Tao. Green Technology Innovation and Synergies of Reducing Pollution and Carbon: From the Perspectives of Joint Emission Reduetion and Environmental Improvement. Statistical Research, 2025, 42(4):32-45. [18]Wang Zhaofeng, Du Yaoyao. Spatial-temporal Differences and Influencing Factors of Carbon Emission Efficiency in Hunan Province Based on SBM-DEA Model. Geographical Science, 2019, 39(5): 797-806. [19]Wu Yanhua. Carbon peak pressure, green technological innovation and enterprise carbon emission efficiency. Modern Management Science, 2023, (5):11-20. [20]Li Lichun. Empirical Examination of the Relationship between China's Energy Consumption, Economic Growth and Energy Structure. Statistics & Decision, 2017, 33(13):140-143. [21]Qian Ping, Ma Caihong, Yuan Qianying. Dynamic Change of Carbon Emissions from Energy Consumption and EKC Empirical Test Analysis in China. Journal of Natural Science of Hunan Normal University, 2020, 43(4):17-25. [22]Lyu Jiehua, Yang Tingyu. Spatial and Temporal Differentiation of Low-Carbon Efficiency among Provinces in China from the Perspective of “Decarbonization”. Ecological conomy, 2024, 40(6):13-20. [23]Zhang Rui, Chen Xue, Sun Xialing. Environmental Regulation, Economic Diversity and Energy Intensity: An Empirical Analysis Based on Provincial Panel Data. Commercial Research, 2021, (1): 24-31.