Premature mortality in a general equilibrium model of air pollution control

1993 ◽  
Vol 27 (1) ◽  
pp. 1-8 ◽  
Author(s):  
Robert E. Kohn
Keyword(s):  
Air Pollution ◽  
General Equilibrium ◽  
Pollution Control ◽  
Equilibrium Model ◽  
Premature Mortality ◽  
General Equilibrium Model ◽  
Air Pollution Control

scholarly journals Health Impact Attributable to Improvement of PM2.5 Pollution from 2014–2018 and Its Potential Benefits by 2030 in China

2021 ◽  
Vol 13 (17) ◽  
pp. 9690
Author(s):  
Yu Ma ◽  
Deping Li ◽  
Liang Zhou
Keyword(s):  
Air Pollution ◽  
Pollution Control ◽  
Regional Differences ◽  
Premature Mortality ◽  
Population Data ◽  
Health Impact ◽  
Air Pollution Control ◽  
Premature Deaths ◽  
Control Target ◽  
Potential Benefits

With the advancement of urbanization and industrialization, air pollution has become one of the biggest challenges for sustainable development. In recent years, ambient PM2.5 concentrations in China have declined substantially due to the combined effect of PM2.5 control and meteorological conditions. To this end, it is critical to assess the health impact attributable to PM2.5 pollution improvement and to explore the potential benefits which may be obtained through the achievement of future PM2.5 control targets. Based on PM2.5 and population data with a 1 km resolution, premature mortality caused by exposure to PM2.5 in China from 2014 to 2018 was estimated using the Global Exposure Mortality Model (GEMM). Then, the potential benefits of achieving PM2.5 control targets were estimated for 2030. The results show that premature mortality caused by PM2.5 pollution decreased by 22.41%, from 2,361,880 in 2014 to 1,832,470 in 2018. Moreover, the reduction of premature mortality in six major regions of China accounted for 52.82% of the national total reduction. If the PM2.5 control target can be achieved by 2030, PM2.5-related premature deaths will further decrease by 403,050, accounting for 21.99% of those in 2018. Among them, 87.02% of cities exhibited decreases in premature deaths. According to the potential benefits in 2030, all cities were divided into three types, of which type III cities should set stricter PM2.5 control targets and further strengthen the associated monitoring and governance. The results of this study provide a reference for the formulation of air pollution control policies based on regional differences.

Comments on "Shadow Pricing and Macroeconomic Analysis: Some Illustrations from Pakistan" by Squire et al.

1979 ◽  
Vol 18 (2) ◽  
pp. 113-115
Author(s):  
T. N. Srinivasan
Keyword(s):  
General Equilibrium ◽  
Equilibrium Model ◽  
General Equilibrium Model ◽  
Equilibrium Analysis ◽  
Partial Equilibrium ◽  
Shadow Prices ◽  
Essential Point ◽  
Economic Issues ◽  
Shadow Pricing ◽  
Extreme Sensitivity

The paper is too long for conveying the message that shadow pricing used as a method of analysis in micro-economic issues of project selection is also useful for analysing macro-economic issues, such as foreign and domestic borrowing by the government, emigration, etc. Much of the methodological discussion in the paper is available in a readily accessible form in several publications of each of the coauthors; In contrast, the specific application of the methodology to Pakistani problems is much too cavalier. While it is hard to disagree with the authors' claim that shadow pricing "constitutes a relatively informal attempt to capture general equilibrium effects" (p. 89, emphasis added), their depiction of traditional analysis is a bit of a caricature: essentially it sets up a strawman to knock down. After all in the traditional partial equilibrium analysis, the caveat is always entered that the results are possibly sensitive to violation of the ceteris paribus assumptions of the analysis, though often the analysts will claim that extreme sensitivity is unlikely. Analogously, the shadow pricing method presumes "stationarity" of shadow prices in the sense that they are “independent of policy changes under review" (p. 90). The essential point to be noted is that the validity of this assertion or of the "not too extreme sensitivity" assertion of partial equilibrium analysts can be tested only with a full scale general equilibrium model! At any rate this reviewer would not pose the issue as one of traditional partial equilibrium macro-analysis versus shadow pricing as an approximate general equilibrium analysis, but would prefer a description of project analysis as an approach in which a macro-general equilibrium model of a manageable size (implicit or explicit) is used to derive a set of key shadow prices which are then used in a detailed micro-analysis of projects.

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