Chapter
Dec 15, 2022

Analysis of Factors Affecting CO2 Emissions in Six Central Chinese Cities

Publication: ICCREM 2022

ABSTRACT

The results show that during the period of 2004–2014, carbon emissions in Chinese central cities still mainly originated from coal combustion. Apart from the proportion of C-CO2 in Changsha, the proportion of C-CO2 in the other five cities was reduced. The impact of changes in CO2 emissions in central provincial capital cities is mainly attributed to adjustments in “electricity, gas, water production and supply,” “non-metal and metal manufacturing,” “commercial and other industries,” and “transportation.” Zhengzhou’s carbon emissions intensity has the most obvious inhibitory effect on CO2 emissions, and its cumulative contribution rate reaches –140.59%. The population growth has the most obvious effect on CO2 emissions increase in Zhengzhou and Taiyuan, with contribution ratio 57% and 49%, respectively. Carbon emissions in Zhengzhou, Wuhan, Changsha, and Nanchang are linearly correlated with urbanization rates, and their correlation coefficients are 0.9292 (P<0.001), 0.9288 (P<0.001), 0.9330 (P<0.001), and 0.9687 (P<0.001). However, the level of urbanization in Hefei has little effect on carbon emissions.

Get full access to this article

View all available purchase options and get full access to this chapter.

REFERENCES

Ang, B. W., and Pandiyan, G. (1997). “Decomposition of energy-induced CO2 emissions in manufacturing.” Energy Economics, 19(3), 363–374.
Ang, B. W., and Zhang, F. Q. (1999). “Inter-regional comparisons of energy-related CO2 emissions using the decomposition technique.” Energy, 24(4), 297–305.
Ang, B. W. (2004). “Decomposition analysis for policymaking in energy: which is the preferred method?” Energy Policy, 32(9), 1131–1139.
Ang, B. W. (2005). “The LMDI approach to decomposition analysis: a practical guide.” Energy Policy, 33(7), 867–871.
Cross, S., Padfield, D., Ant-Wuorinen, R., King, P., and Syri, S. (2017). “Benchmarking island power systems: Results, challenges, and solutions for long term sustainability.” Renewable and Sustainable Energy Reviews, 80, 1269–1291.
Duan, X. M., and Tong, Z. W. (2011). “Decomposition analysis of carbon emissions from energy consumption in Zhejiang province based on LMDI method.” Journal of Beijing University of Posts and Telecommunications (Social Sciences Edition), 13(04), 68–75. (in Chinese).
Fan, D. (2013). “Driving factors of carbon emissions from energy consumption in China-based on LMDI-PDA method.” China Environmental Science, 33(09), 1705–1713. (in Chinese).
Feng, K., Siu, Y. L., Guan, D., and Hubacek, K. (2012). “Analyzing drivers of regional carbon dioxide emissions for China: A structural decomposition analysis.” Journal of Industrial Ecology, 16(4), 600–611.
Geng, Y., Peng, C., and Tian, M. (2011). “Energy use and CO2 emission inventories in the four municipalities of China.” Energy Procedia, 5, 370–376.
González, P. F., Landajo, M., and Presno, M. J. (2014). “Tracking European Union CO2 emissions through LMDI (logarithmic-mean Divisia index) decomposition. The activity revaluation approach.” Energy, 73, 741–750.
Gu, A. L., He, Z. K., and Lv, Z. Q. (2016). “Industrial structure changes impacts on carbon emissions in China based on LMDI method.” Resources Science, 38(10), 1861–1870. (in Chinese).
Guo, Z. X. (2010). “Decomposition of China’s carbon emissions: Based on LMDI method.” China Population, Resources and Environment, 20(12), 4–9. (in Chinese).
Hu, J. F., and Jiang, X. (2015). “Study on the effect of urbanization on carbon emissions from the perspective of city clusters.” Journal of China University of Geosciences (Social Sciences Edition), (6), 11–21. (in Chinese).
Lin, S. J., and Chang, T. C. (1996). “Decomposition of SO2, NO1 and CO2 emissions from energy use of major economic sectors in Taiwan.” The Energy Journal, 17(1).
Lin, S. J., Lu, I. J., and Lewis, C. (2006). “Identifying key factors and strategies for reducing industrial CO2 emissions from a non-Kyoto protocol member’s (Taiwan) perspective.” Energy Policy, 34(13), 1499–1507.
Liu, X. Z., Gao, C. C., Zhang, Y., Yu, G. H., Song, Y., and Tian, Y. L. (2017). “Carbon emissions of energy consumption and its driving factors decomposition in China’s provinces.” Journal of Hunan University of Science & Technology (Natural Science Edition), 32(2), 92–100. (in Chinese).
Liu, Y., Li, X. Y., Lin, J. Y., Cui, S. H., and Zhao, S. N. (2014). “Factor decomposition of carbon intensity in Xiamen city based on LMDI method.” Acta Ecologica Sinica, 34(09), 2378–2387. (in Chinese).
Mohammad, M. H., and Wu, C. B. (2020). “Estimating energy-related CO2 emission growth in Bangladesh: the LMDI decomposition method approach.” Energy Strategy Reviews, 32, 100565.
Ou, Y. M., and Zhou, S. F. (2014). “Comparative study on the factors affecting the provincial carbon emissions.” Journal of Industrial Technological Economics, (6), 34–41. (in Chinese).
Peng, J. M., and Wu, R. H. (2012). “Decomposition of pearl river Delta’s carbon emissions based on LMDI method.” China Population, Resources and Environment, 22(02), 69–74. (in Chinese).
Román, R., Cansino, J. M., and Rodas, J. A. (2018). “Analysis of the main drivers of CO2 emissions changes in Colombia (1990-2012) and its political implications.” Renewable Energy, 116, 402–411.
Rüstemoğlu, H., and Andrés, A. R. (2016). “Determinants of CO2 emissions in Brazil and Russia between 1992 and 2011: A decomposition analysis.” Environmental Science & Policy, 58, 95–106.
Shi, A. N., and Li, M. (2011). “Analysis of carbon emissions for industrial sector energy consumption in Nanjing based on the LMDI model.” Resources Science, 33(10), 1890–1896. (in Chinese).
Song, D. Y., and Lu, Z. B. (2009). “The factor decomposition and periodic fluctuations of carbon emission in China.” China Population, Resources and Environment, 19(03), 18–24. (in Chinese).
Sun, C. L., Zhan, N., and Zhang, X. L. (2013). “The impact of urbanization on the CO2 emission in the various development stages.” Scientia Geographica Sinica, 33(03), 266–272. (in Chinese).
Tao, A. P., Yang, S., and Li, Y. (2016). “Influences of urbanization quality on the spatial effect of carbon emission: Taking 16 cities of the Yangtze River Dealt Area for example.” Urban Problems, (12), 13–20. (in Chinese).
Wang, C., Chen, J., and Zou, J. (2005). “Decomposition of energy-related CO2 emission in China: 1957-2000.” Energy, 30(1), 73–83.
Wang, H. T. (2010). “Logarithmic mean Divisia index model and the carbon emission mechanism of energy sector in Shanghai.” China Population, Resources and Environment, 20(117), 143–146. (in Chinese).
Wang, Y., Jia, J. J., and Zhao, P. (2014). “Effect of structure on carbon emission and countermeasures in Tianjin based on LMDI.” Journal of Tianjin University (Social Sciences), 16(06), 509–514. (in Chinese).
Wang, Z., Yin, F., Zhang, Y., and Zhang, X. (2012). “An empirical research on the influencing factors of regional CO2 emissions: Evidence from Beijing city, China.” Applied Energy, 100, 277–284.
Xie, S. H., and Xu, X. Y. (2013). “The empirical analysis of the relationship between China’s urbanization and the carbon emissions.” Population and Development, 19(02), 26–32. (in Chinese).
Xu, G. Q., Liu, Z. Y., and Jiang, Z. H. (2006). “Decomposition model and empirical study of carbon emissions for China, 1995-2004.” China Population, Resources and Environment, 16(06), 158–161. (in Chinese).
Xu, X., Huo, H., Liu, J., Shan, Y., Li, Y., Zheng, H., Guan, D., and Ouyang, Z. (2018). Patterns of CO2 emissions in 18 central Chinese cities from 2000 to 2014. Journal of Cleaner Production, 172, 529–540.
Yang, S., and Liu, H. J. (2012). “Regional difference decomposition and influence factors of China’s carbon dioxide emissions.” The Journal of Quantitative & Technical Economics, 29(05), 36–49. (in Chinese).
Yue, T., and Long, R. Y. (2010). “Analysis of factors affecting the energy intensity growth in Jiangsu province based on LMDI.” Resources Science, 32(07), 1266–1271. (in Chinese).
Zhang, W., Tang, X., Yang, G., and Zha, D. (2020). “Decomposition of CO2 emission intensity in Chinese MIs through a development mode extended LMDI method combined with a production-theoretical approach.” Science of the Total Environment, 702, 134787.
Zhang, W., Zhang, J. S., Zou, S. H., and Xu, J. (2013). “Factor decomposition of carbon emissions from energy consumption of Shaanxi province based on LMDI.” Journal of Arid Land Resources and Environment, 27(09), 26–31. (in Chinese).
Zhang, W., and Zhou, Y. Y. (2013). “An empirical analysis of the increment of CO2 emission from energy consumption in Beijing: Based on LMDI technique of IDA method.” Progress in Geography, 32(04), 514–521. (in Chinese).
Zhang, Y. J., and Da, Y. B. (2015). “The decomposition of energy-related carbon emission and its decoupling with economic growth in China.” Renewable and Sustainable Energy Reviews, 41, 1255–1266.
Zhao, M., Tan, L., Zhang, W., Ji, M., Liu, Y., and Yu, L. (2010). “Decomposing the influencing factors of industrial carbon emissions in Shanghai using the LMDI method.” Energy, 35(6), 2505–2510.
Zhao, X. M., and Bian, T. R. (2015). “Factor decomposition of carbon emissions from energy consumption of Shaanxi province based on LMDI.” On Economic Problems, (02), 35–39. (in Chinese).
Zheng, J., Mi, Z., Coffman, D. M., Milcheva, S., Shan, Y., Guan, D., and Wang, S. (2019). “Regional development and carbon emissions in China.” Energy Economics, 81, 25–36.
Zhou, K., and Dai, X. W. (2013). “An empirical study on the relationship between urbanization and carbon emission in China.” China Population, Resources and Environment, 23(04), 41–48. (in Chinese).
Zhu, Q., Peng, X. Z., Lu, Z. M., and Wu, K. Y. (2009). “Factors decomposition and empirical analysis of variations in energy carbon emission in China.” Resources Science, 31(12), 2072–2079. (in Chinese).

Information & Authors

Information

Published In

Go to ICCREM 2022
ICCREM 2022
Pages: 110 - 128

History

Published online: Dec 15, 2022

Permissions

Request permissions for this article.

Authors

Affiliations

Zhiting Chen [email protected]
1Ph.D. Candidate, Dept. of Architecture, School of Mechanics and Civil Engineering, China Univ. of Mining and Technology, Beijing, China. Email: [email protected]
Xiaokun Sun [email protected]
2Ph.D. Candidate, Dept. of Architecture, School of Mechanics and Civil Engineering, China Univ. of Mining and Technology, Beijing, China. Email: [email protected]
Xinwanghao Xu [email protected]
3Postdoctoral, State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China. Email: [email protected]
Peihao Wang [email protected]
4Senior Engineer, 2nd Engineering Co. Ltd. of China Railway Construction Electrification Bureau Group, Shanxi, China. Email: [email protected]
5Intermediate Engineer, Shanxi Gongxin Security Technology Co., Shanxi, China. Email: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Paper
$35.00
Add to cart
Buy E-book
$190.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Paper
$35.00
Add to cart
Buy E-book
$190.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share