Estimation, characteristics, and determinants of energy-related industrial CO2 emissions in Shanghai (China), 1994-2009

Shuai Shao, Lili Yang, Mingbo Yu and Mingliang Yu

Energy Policy, 2011, vol. 39, issue 10, 6476-6494

Abstract: This paper estimates energy-related industrial CO2 emissions (ICE) in Shanghai from 1994 to 2009 and summarizes ICE's characteristics. The results show that the coal-type consumption is the ICE's largest source of the entire industry and that the energy consumption structure of CO2 emissions of the entire industry depends largely on that of six sub-sectors of high emission group, which contributes to most of ICE. Furthermore, the paper implements an econometric study on the ICE's determinants based on the ICE-STIRPAT model. The results indicate that the relationship between ICE and per capita output presents an inverted N-shaped curve with two turning points, resulting from the comprehensive influence of scale, composition, and technique effects, and that most sub-sectors remain in the second stage of the curve. Energy efficiency exerts a more efficient control over ICE than R&D intensity. ICE intensity is regulated more easily than ICE scale. In the long run, industrial growth and coal-type consumption play the most important roles in driving ICE, whereas energy efficiency exerts the most prominent effect on reducing it. The results of the robustness analysis indicate that the utilization of the ICE-STIRPAT model is valid and robust under the setting of environment impact control over ICE in Shanghai.

Keywords: Industrial; CO2; emissions; Determinants; Shanghai (search for similar items in EconPapers)
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (72)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:enepol:v:39:y:2011:i:10:p:6476-6494

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