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Application of Technological Control Measures on Vehicle Pollution: A Cost-Benefit Analysis in China

Paulo A. L. D. Nunes
University of Venice - Department of Economics; Fondazione Eni Enrico Mattei (FEEM), Venice

Qiang Wu
Johns Hopkins University - Bologna Center


January 2005

FEEM Working Paper No. 02.05

Abstract:     
For the past two-decades, China has experienced strong, continuous economic growth. At the same time, the number of motor vehicles in China has rapidly increased. As a direct result of such a phenomenon, China has been registering significant increases in air pollution. In spite of recent advances in air pollution control, it remains a serious problem for China's major cities, and constitutes an important issue in the agenda of its policy makers. The object of this paper is to explore the use of cost-benefit analysis (CBA) to evaluate and rank alternative policy scenarios regarding the control of air pollution emitted by motor vehicles. The empirical analysis carried out relates specifically to the Chinese context, over a twenty year period, from 2001 to 2020, and focuses on emission changes of the following three principal pollutants: CO, HC and NOx.

Keywords: Vehicle, pollution, CO, HC, NOx, scenario, standard, cost, benefit, China

JEL Classifications: O33, O53

Working Paper Series

Date posted: February 02, 2005 ; Last revised: February 02, 2005

Suggested Citation

Nunes, Paulo A. L. D. and Wu, Qiang , Application of Technological Control Measures on Vehicle Pollution: A Cost-Benefit Analysis in China (January 2005). FEEM Working Paper No. 02.05. Available at SSRN: http://ssrn.com/abstract=648608


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Contact Information

Paulo Augusto Dias Nunes (Contact Author)
University of Venice - Department of Economics ( email )
Cannaregio 873
Venezia VE 30121 Italy
Fondazione Eni Enrico Mattei (FEEM), Venice ( email )
Campo S. M. Formosa, Castello 5252
30122 Venezia 30122
Italy
+39 041 2711 461 (Phone)
Qiang Wu
Johns Hopkins University - Bologna Center ( email )
Via Belmeloro 11
40126 Bologna Italy
Feedback to SSRN (Beta)


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