Multiple Factors Path-STIRPAT Analysis Model of Beijing CO2 Emission

Lei Sun; Ya Deng; He Xin; Tong Xing; Zhong Fu Tan

doi:10.4028/www.scientific.net/AMM.389.166

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Multiple Factors Path-STIRPAT Analysis Model of Beijing CO₂ Emission

Abstract:

As the political, economic and cultural center of China, Beijing is facing worse CO₂ emission influences than other cities. Therefore, digging out the influence factors of CO₂ emission is valuable for maintaining Beijings sustainable development. This paper discusses the driving forces influencing Beijings CO2 emissions based on Path-STIRPAT model-a method combining Path analysis and STIRPAT (stochastic impacts by regression on population, affluence and technology) model. The analysis shows that GDP per capita (A), industrial structures (IS), population (P), urbanization level (R) and technology level (T) are the main factors influencing Beijings CO2 emissions. The sequence of the size of factors direct influence on Beijings CO2 emissions isA>IS>R>T>P, while that of factors total influence isA>R>P>IS>T.

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Periodical:

Applied Mechanics and Materials (Volume 389)

Pages:

166-171

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.389.166

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August 2013

Authors:

Lei Sun, Ya Deng, He Xin, Tong Xing, Zhong Fu Tan

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Path Analysis, Path-STIRPAT Model, STIRPAT Model

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References

[1] WangHuitong, Mu Shuru. The Characteristic and Trend of Carbon Emissions in Beijing[J]. Urban Studies, 2010, 17(9): 55–61.

Google Scholar

[2] LiuHuajun. The Influence of Urbanization on Carbon Dioxide Emissions: -An Empirical Evidence from China [J]. Shanghai Economics Review, 2012, (5): 24-35.

Google Scholar

[3] Shaoshuai, YangLili, CaoJianhua. Study on Influencing Factors of COz Emissions from Industrial Energy Consumption: An Empirical Analysis Based on STIRPAT Model and Industrial Sectors' Dynamic Panel Data in Shanghai [J]. Journal of Finance and Economics. , 2010, 36(11): 16-27.

[4] WANG Dong.

[1] PAN Wen-qing.

[2] LIU Qing.

[2] GAO Xu-dong.

[2] Factors decomposition of CO2 emission in China's industries: Based on LMDI model. Systems Engineering —Theory & Practice, 2012, 32(6): 1193-1203.

Google Scholar

[5] Wright S. The method of path coefficients [J]. Annals of Mathematical Statistics, 1934, 5(3): 161–215.

Google Scholar

[6] Huanan Li, Hailin Mu, Ming Zhang, et al. Analysis on influence factors of China's CO2 emissions based on Path–STIRPAT model [J]. Energy Policy, 2011, 39(11): 6906-6911.

DOI: 10.1016/j.enpol.2011.08.056

Google Scholar