An Empirical Study of Carbon Emissions and Energy Consumption in China

Liu Fangjun

doi:doi:10.11648/j.ss.20231203.13

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An Empirical Study of Carbon Emissions and Energy Consumption in China

Liu Fangjun

Published in Social Sciences (Volume 12, Issue 3)

Received: 30 May 2023 Accepted: 30 May 2023 Published: 5 June 2023

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Abstract

This paper obtains the data of China's total energy consumption and consumption structure from 1990 to 2021 from the Statistical Yearbook of China 2022. And use it to calculate the total coal consumption, oil consumption, natural gas consumption and primary electricity and other energy consumption in the same period; The carbon emission coefficients of coal, oil and gas from various institutions in Dr Danyang's thesis (2020) were used to calculate the total carbon emissions for the same period. Using these data and using unit root test, co-integration analysis, step-up regression method and generalized difference method, this paper empirically studies the relationship between total carbon emission and total coal consumption, total oil consumption, total natural gas consumption, total primary power consumption and other energy consumption in China. The results show that the total consumption of primary power and other energy has no significant effect on China's total carbon emissions. Coal consumption, oil consumption and natural gas consumption have a significant impact on China's total carbon emissions. In addition, when the total consumption of coal, oil and natural gas increases by 1%, on average, China's total carbon emissions increase by 0.82%, 0.16% and 0.03%, respectively. Policy recommendations are put forward accordingly.

Published in	Social Sciences (Volume 12, Issue 3)
DOI	10.11648/j.ss.20231203.13
Page(s)	88-93
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

China's Carbon Emissions, Energy Consumption, Cointegration Analysis, Stepwise Regression Method, Generalized Difference Method

References

[1]	HU M R. Spatial pattern and influencing factors of carbon emission at county level in China [D]. Lanzhou University, 2021.
[2]	QU H M. Study on spatial variation pattern and cownvergence of global energy consumption [D]. Shandong University of Finance and Economics, 2021.
[3]	Pan D. Analysis and prediction of influencing factors of energy carbon emissions in China [D]. Beijing Forestry University, 2020.
[4]	Chen R M. Factor decomposition and decoupling effect of China's industrial carbon emissions [D]. Dongbei University of Finance and Economics, 2019.
[5]	R. F. Engle, C. W. J. Granger, Co-integration and error correction: representation, estimation and testing [J]. Econometrics, 1987 (55): 251-276.
[6]	Dickey. D. A, W. A. Fuller. Distribution of the estimators for autoregressive time series with aunit root. Jounal of the American Statistical Association, 1979, 74: 427-431.
[7]	Peng Jingxiao, Yuan Chao, Gao Minghui, Zhao Xianchao. Simulation of energy consumption carbon emission in Hunan Province based on System Dynamics [J]. Journal of Hunan University of Technology, 2019, 33 (06): 51-59.
[8]	Wang D. Systematic study and simulation of energy, economy and carbon emission in Anhui Province based on SD model [D]. Jiangxi University of Finance and Economics, 2021.
[9]	Shao S., Zhang X., Zhao X. Empirical decomposition and peak path of carbon emissions in China's manufacturing industry: Generalized Dili index decomposition and dynamic scenario analysis [J]. China Industrial Economics, 2017 (03): 44-63.
[10]	Wang, Y. Grey correlation analysis of energy consumption and economic growth in Liaoning Province [D]. Liaoning University, 2020: 3-8.
[11]	Xu, C. Research on energy development and economic efficiency in China [J]. Macroeconomic Management, 2020 (06): 51-60.
[12]	Lin, B. Econometric analysis of China's energy demand [J]. Statistical Research, 2001 (10): 34-39.
[13]	Lin, B. Clean and low-carbon transformation needs to take into account energy costs [J]. Environmental Economics Research, 2018 (3): 1-5.
[14]	Lin, B. Problems and solutions towards carbon Neutrality [J]. Innovation World Weekly, 2021.8.
[15]	LIU D Y. Empirical analysis of influencing factors of carbon emission in China [D]. North China University of Technology, 2020.

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Liu Fangjun. (2023). An Empirical Study of Carbon Emissions and Energy Consumption in China. Social Sciences, 12(3), 88-93. https://doi.org/10.11648/j.ss.20231203.13

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ACS Style

Liu Fangjun. An Empirical Study of Carbon Emissions and Energy Consumption in China. Soc. Sci. 2023, 12(3), 88-93. doi: 10.11648/j.ss.20231203.13

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AMA Style

Liu Fangjun. An Empirical Study of Carbon Emissions and Energy Consumption in China. Soc Sci. 2023;12(3):88-93. doi: 10.11648/j.ss.20231203.13

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@article{10.11648/j.ss.20231203.13,
  author = {Liu Fangjun},
  title = {An Empirical Study of Carbon Emissions and Energy Consumption in China},
  journal = {Social Sciences},
  volume = {12},
  number = {3},
  pages = {88-93},
  doi = {10.11648/j.ss.20231203.13},
  url = {https://doi.org/10.11648/j.ss.20231203.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ss.20231203.13},
  abstract = {This paper obtains the data of China's total energy consumption and consumption structure from 1990 to 2021 from the Statistical Yearbook of China 2022. And use it to calculate the total coal consumption, oil consumption, natural gas consumption and primary electricity and other energy consumption in the same period; The carbon emission coefficients of coal, oil and gas from various institutions in Dr Danyang's thesis (2020) were used to calculate the total carbon emissions for the same period. Using these data and using unit root test, co-integration analysis, step-up regression method and generalized difference method, this paper empirically studies the relationship between total carbon emission and total coal consumption, total oil consumption, total natural gas consumption, total primary power consumption and other energy consumption in China. The results show that the total consumption of primary power and other energy has no significant effect on China's total carbon emissions. Coal consumption, oil consumption and natural gas consumption have a significant impact on China's total carbon emissions. In addition, when the total consumption of coal, oil and natural gas increases by 1%, on average, China's total carbon emissions increase by 0.82%, 0.16% and 0.03%, respectively. Policy recommendations are put forward accordingly.},
 year = {2023}
}

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TY  - JOUR
T1  - An Empirical Study of Carbon Emissions and Energy Consumption in China
AU  - Liu Fangjun
Y1  - 2023/06/05
PY  - 2023
N1  - https://doi.org/10.11648/j.ss.20231203.13
DO  - 10.11648/j.ss.20231203.13
T2  - Social Sciences
JF  - Social Sciences
JO  - Social Sciences
SP  - 88
EP  - 93
PB  - Science Publishing Group
SN  - 2326-988X
UR  - https://doi.org/10.11648/j.ss.20231203.13
AB  - This paper obtains the data of China's total energy consumption and consumption structure from 1990 to 2021 from the Statistical Yearbook of China 2022. And use it to calculate the total coal consumption, oil consumption, natural gas consumption and primary electricity and other energy consumption in the same period; The carbon emission coefficients of coal, oil and gas from various institutions in Dr Danyang's thesis (2020) were used to calculate the total carbon emissions for the same period. Using these data and using unit root test, co-integration analysis, step-up regression method and generalized difference method, this paper empirically studies the relationship between total carbon emission and total coal consumption, total oil consumption, total natural gas consumption, total primary power consumption and other energy consumption in China. The results show that the total consumption of primary power and other energy has no significant effect on China's total carbon emissions. Coal consumption, oil consumption and natural gas consumption have a significant impact on China's total carbon emissions. In addition, when the total consumption of coal, oil and natural gas increases by 1%, on average, China's total carbon emissions increase by 0.82%, 0.16% and 0.03%, respectively. Policy recommendations are put forward accordingly.
VL  - 12
IS  - 3
ER  -

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Author Information

Liu Fangjun

School of Economics and Finance, Zhanjiang Institute of Science and Technology, Zhanjiang, China

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Plain Text BibTeX RIS

APA Style

Liu Fangjun. (2023). An Empirical Study of Carbon Emissions and Energy Consumption in China. Social Sciences, 12(3), 88-93. https://doi.org/10.11648/j.ss.20231203.13

Copy | Download

ACS Style

Liu Fangjun. An Empirical Study of Carbon Emissions and Energy Consumption in China. Soc. Sci. 2023, 12(3), 88-93. doi: 10.11648/j.ss.20231203.13

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AMA Style

Liu Fangjun. An Empirical Study of Carbon Emissions and Energy Consumption in China. Soc Sci. 2023;12(3):88-93. doi: 10.11648/j.ss.20231203.13

Copy | Download

@article{10.11648/j.ss.20231203.13,
  author = {Liu Fangjun},
  title = {An Empirical Study of Carbon Emissions and Energy Consumption in China},
  journal = {Social Sciences},
  volume = {12},
  number = {3},
  pages = {88-93},
  doi = {10.11648/j.ss.20231203.13},
  url = {https://doi.org/10.11648/j.ss.20231203.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ss.20231203.13},
  abstract = {This paper obtains the data of China's total energy consumption and consumption structure from 1990 to 2021 from the Statistical Yearbook of China 2022. And use it to calculate the total coal consumption, oil consumption, natural gas consumption and primary electricity and other energy consumption in the same period; The carbon emission coefficients of coal, oil and gas from various institutions in Dr Danyang's thesis (2020) were used to calculate the total carbon emissions for the same period. Using these data and using unit root test, co-integration analysis, step-up regression method and generalized difference method, this paper empirically studies the relationship between total carbon emission and total coal consumption, total oil consumption, total natural gas consumption, total primary power consumption and other energy consumption in China. The results show that the total consumption of primary power and other energy has no significant effect on China's total carbon emissions. Coal consumption, oil consumption and natural gas consumption have a significant impact on China's total carbon emissions. In addition, when the total consumption of coal, oil and natural gas increases by 1%, on average, China's total carbon emissions increase by 0.82%, 0.16% and 0.03%, respectively. Policy recommendations are put forward accordingly.},
 year = {2023}
}

Copy | Download

TY  - JOUR
T1  - An Empirical Study of Carbon Emissions and Energy Consumption in China
AU  - Liu Fangjun
Y1  - 2023/06/05
PY  - 2023
N1  - https://doi.org/10.11648/j.ss.20231203.13
DO  - 10.11648/j.ss.20231203.13
T2  - Social Sciences
JF  - Social Sciences
JO  - Social Sciences
SP  - 88
EP  - 93
PB  - Science Publishing Group
SN  - 2326-988X
UR  - https://doi.org/10.11648/j.ss.20231203.13
AB  - This paper obtains the data of China's total energy consumption and consumption structure from 1990 to 2021 from the Statistical Yearbook of China 2022. And use it to calculate the total coal consumption, oil consumption, natural gas consumption and primary electricity and other energy consumption in the same period; The carbon emission coefficients of coal, oil and gas from various institutions in Dr Danyang's thesis (2020) were used to calculate the total carbon emissions for the same period. Using these data and using unit root test, co-integration analysis, step-up regression method and generalized difference method, this paper empirically studies the relationship between total carbon emission and total coal consumption, total oil consumption, total natural gas consumption, total primary power consumption and other energy consumption in China. The results show that the total consumption of primary power and other energy has no significant effect on China's total carbon emissions. Coal consumption, oil consumption and natural gas consumption have a significant impact on China's total carbon emissions. In addition, when the total consumption of coal, oil and natural gas increases by 1%, on average, China's total carbon emissions increase by 0.82%, 0.16% and 0.03%, respectively. Policy recommendations are put forward accordingly.
VL  - 12
IS  - 3
ER  -

Copy | Download