ORIGINAL RESEARCH
A Systematic Simulating Assessment within
Reach Greenhouse Gas Target by Reducing PM2.5
Concentrations in China
Wei Li1,2, Can Lu1,2, Yi Ding1
1School of Economics and Management, North China Electric Power University,
No.619 Yonghua Street, Baoding, Hebei 071003, China
2Center for Innovation Development and Energy Economics Research, North China Electric Power University,
Baoding, Hebei 071003, China
No.619 Yonghua Street, Baoding, Hebei 071003, China
2Center for Innovation Development and Energy Economics Research, North China Electric Power University,
Baoding, Hebei 071003, China
Submission date: 2016-10-24
Final revision date: 2016-11-07
Acceptance date: 2016-11-08
Online publication date: 2017-03-22
Publication date: 2017-03-22
Pol. J. Environ. Stud. 2017;26(2):683–698
KEYWORDS
TOPICS
Atmospherical pollution controlPollution preventionClimate changesOthersCriteria analysisEnvironmental managementOthersPolicies for economically sustainable developmentPolicies for socially sustainable developmentPolicies for environmentally sustainable development
ABSTRACT
Reducing greenhouse gas emissions and governing pollutant emissions would cause real synergy.
Therefore, China has proposed achieving the target of reducing fine particulate matter (PM2.5) concentrations
to 35 ug/m3, as it pollutes the most. The prioritized purpose of this dissertation is aimed at constructing a
comprehensive framework by integrating the PM2.5 target, influencing factors, and countermeasures together
to shed some new light on the PM2.5 governing problem. A computable general equilibrium (CGE) model
containing a pollution abatement block is first introduced. Accordingly, four different scenarios about the
PM2.5 target implementation plan are designed for analyzing the impacts on China’s macroeconomics, energy
demand, and environmental quality, and we establish a PM2.5 system dynamics model in the principle of
system dynamics theory afterward. Subsequently, the model offers six various countermeasures in terms of
declining the concentration of PM2.5 on the basis of the causality diagram. Consequently, the scenario analysis
and system simulation results illustrate that the decline in PM2.5 concentration at annual average rates of
3.07%, 4.61%, and 1.53% from 2016 to 2020, 2021 to 2025, and 2026 to 2030 is significantly beneficial for
achieving the PM2.5 target. Additionally, three effective countermeasures could be approximately reaching
the PM2.5 concentration target in 2030.
RELATED ARTICLE
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.