A Sustainable Industry-Environment Model for the Identification of Urban Environmental Risk to Confront Air Pollution in Beijing, China

Guilin Gao, Xueting Zeng, Chunjiang An and Lei Yu
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Guilin Gao: School of Law, Capital University of Economics and Business, Beijing 100072, China
Xueting Zeng: School of Labor Economics, Capital University of Economics and Business, Beijing 100072, China
Chunjiang An: Department of Building, Civil and Environment Engineering, Concordia University, Montreal, QC H3G 1M8, Canada
Lei Yu: MOE Key Laboratory of Regional Energy Systems Optimization, Sino-Canada Energy and Environmental Research Center, North China Electirc Power University, Beijing 102206, China, yulei1060220069@sina.com

Sustainability, 2018, vol. 10, issue 4, 1-22

Abstract: In this study, an optimized industry-environment model is proposed for identifying environmental risk under uncertainties. The strategy associated with an emission-permit trading mechanism has been introduced into the industrial-environment regulation (model) for remitting the pressures of frequent/severe haze events in Beijing City. A dual stochastic mixed fuzzy risk analysis method with Laplace’s criterion (DSFRL) can be embedded into industry-environment issues with a trading emission-permit trading mechanism (IEST) for handling uncertainties regarded as possibility and probability distributions. Meanwhile, this can also reflect the environmental risks and corresponding system benefits due to the occurrence of a random event (such as random wind velocity). Based on the application of the proposed IEST with DSFRL, the numbers of the obtained results associated with production reduction, adjustment of industrial layout pattern, emission-permit transactions, pollutant mitigation and system benefits under various Laplace criterion cases can be analyzed. A tradeoff between production development and pollution mitigation based on the preference of policymakers can be used for rectifying current strategies with a sustainable mode, which can prompt an effort to confront air pollution

Keywords: an optimized industry-environment model; emission-permit trading; dual stochastic programming; Laplace criterion; risk analysis (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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