A Study of Allocative Efficiency of PM2.5 Emission Rights Based on a Zero Sum Gains Data Envelopment Model

Xianhua Wu () and Ji Guo ()
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Xianhua Wu: Shanghai Maritime University
Ji Guo: Shanghai Maritime University

Chapter Chapter 20 in Economic Impacts and Emergency Management of Disasters in China, 2021, pp 581-604 from Springer

Abstract: Abstract It is an urgent task for China to control haze emission in environmental treatment. Emission right trading is a feasible way to achieve the reduction of pollutant emission on the premise that the total pollutant emission amount is under control, and the allocation of initial emission rights based on the target total amount is the key to emission right trading. In this paper, via the input-oriented ZSG-DEA model, the interprovincial allocative efficiency of PM2.5 emission rights is investigated under the condition that the target total amount is fixed. The results showed that (1) after initial emission rights were allocated in accordance with the ZSG-DEA model, PM2.5 emission amounts of all provinces would be in a new common DEA frontier so as to realize the overall Pareto optimality with a set total amount; (2) two factors, namely and areas and atmospheric environmental capacities of all provinces, were considered in the actual allocation to avoid the homogenization of all evaluated units found in the previous evaluation literature on allocative efficiency, thereby making the evaluation results more in line with the actual situations in all provinces. Such an investigation approach can provide guidance on the allocation of initial emission rights in emission right trading; and the research results can offer empirical support for haze-reducing work load conducted by central and local governments of China.

Keywords: Air pollutant emission right; ZSG-DEA model; Emission right trading; Allocative efficiency; PM2.5 (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-16-1319-7_20

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DOI: 10.1007/978-981-16-1319-7_20

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