A new air pollution management method based on the integration of evidential reasoning and slacks-based measure

2020 ◽  
Vol 39 (5) ◽  
pp. 6833-6848
Author(s):  
Fei-Fei Ye ◽  
Suhui Wang ◽  
Long-Hao Yang ◽  
Ying-Ming Wang
Keyword(s):  
Air Pollution ◽  
Efficiency Measurement ◽  
Evidential Reasoning ◽  
Weighting Method ◽  
Political Concern ◽  
Application Procedure ◽  
Pollution Management ◽  
Regional Factors ◽  
Management Method ◽  
Regional Population Density

Air pollution management is becoming a major topic of political concern, and many studies have devoted to the efficiency measurement of air pollution management. However, several drawbacks must be overcome for better applying efficiency measurement to improve air pollution management, including neglect of the importance of different indicators, non-integrity of indicator information for efficiency measurement, and lack of analyzing regional factors in the efficiency of air pollution management. Accordingly, by utilizing the evidential reasoning (ER) approach with entropy weighting method to propose an ER-based indicator integration and introducing the slacks-based measure (SBM) model with consideration of undesirable outputs and the regression model to propose an SBM-based efficiency analysis, a new air pollution management method, called integrated ER-SBM method, is developed in the present study. In the case study of Chinese 29 provinces, the application procedure and results are provided to illustrate how to apply the integrated ER-SBM method to integrate various air pollution indicators with different importance and further analyze the influence of regional factors, such as technological innovation, regional population density, import-export values, number of industries, and energy resources, on the efficiency of air pollution management. In addition, the policy recommendations targeting the results are concluded as well.

scholarly journals Is a Regional Coordination Approach to Air Pollution Management Helpful? Evidence from China

2019 ◽  
Vol 12 (1) ◽  
pp. 134 ◽  
Author(s):  
Xuehui Zhang ◽  
Zhidong Tan ◽  
Bao-Guang Chang ◽  
Kam C. Chan
Keyword(s):  
Air Pollution ◽  
Natural Experiment ◽  
Active Role ◽  
Difference In Differences ◽  
Administrative Management ◽  
New Methods ◽  
Regional Coordination ◽  
Pollution Management ◽  
Local Officials ◽  
The Government

In February 2017 China began to require the regional coordination of four ministries and 28 cities surrounding Beijing to manage air pollution. The Coordination attempts to unify air pollution standards and implements various new methods to monitor air pollution. Leveraging the natural experiment and using a difference-in-differences research design, we note that firms located in the treatment cities invest more in the environment than those in the control cities. In addition, we find that non-state-owned firms (non-SOEs) respond more strongly than SOEs. The findings remain qualitatively the same after accounting for selection bias in the cities included in the Coordination. Most importantly, air quality improves for treatment cities after the implementation of the Coordination. Our findings offer lessons to other emerging markets for implementing their air pollution management programs. Specifically, we sharpen our knowledge of the administrative management needed to improve coordination among government agencies and local officials in the management of air pollution and suggest that the government can play an active role in enhancing air pollution management.

Identifying priority air pollution management areas during the burning season in Nan Province, Northern Thailand

2020 ◽  
Author(s):  
Daroonwan Kamthonkiat ◽  
Juthasinee Thanyapraneedkul ◽  
Nithima Nuengjumnong ◽  
Sarawut Ninsawat ◽  
Kessinee Unapumnuk ◽  
...  
Keyword(s):  
Air Pollution ◽  
Northern Thailand ◽  
Pollution Management

Survey of mathematical programming models in air pollution management

1997 ◽  
Vol 96 (1) ◽  
pp. 1-35 ◽  
Author(s):  
W.W. Cooper ◽  
H. Hemphill ◽  
Z. Huang ◽  
S. Li ◽  
V. Lelas ◽  
...  
Keyword(s):  
Air Pollution ◽  
Mathematical Programming ◽  
Programming Models ◽  
Pollution Management ◽  
Mathematical Programming Models

scholarly journals How to Integrate the Data-based Strategies and Advanced Technologies into Efficient Air Pollution Management in Smart Cities?

2021 ◽  
Author(s):  
Seunghwan Myeong ◽  
Khurram Shahzad
Keyword(s):  
Air Pollution ◽  
Development Policy ◽  
Energy Use ◽  
Smart Cities ◽  
Energy Performance ◽  
Exploratory Research ◽  
The Public ◽  
Pollution Management ◽  
Urban Development Policy ◽  
Core Part

Air pollution contributes to a critical environmental problem in various towns and cities. With the emergence of the smart cities concept, appropriate methods to curb associated with exposure to pollutants must have been a portion of appropriate urban development policy. This study presents a technologically driven air quality solution in smart cities to advertise energy-efficient and cleaner sequestration in these areas. It aims to address the issue of how to integrate the data-based strategies and artificial intelligence into efficient public sector pollution management in smart cities as a core part of the smart city definition. Exploratory research has been used in 152 smart cities, and environmental experts contributed to this study. It further addresses the technical criteria for implementing such a framework that the public administration uses to prepare the renovation of public buildings, minimize energy use and costs, and link these smart police stations to monitor air pollution as a part of integrated cities. Such a digital transition in resource management will increase public governance's energy performance, a higher standard of operation, and a healthier environment.

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