[Objectives]The paper was to study the impacts of sand and dust storms(SDS)on regional economy.[Methods]In this paper,we combined the computable general equilibrium(CGE)model and the Monte Carlo method to examine the ...[Objectives]The paper was to study the impacts of sand and dust storms(SDS)on regional economy.[Methods]In this paper,we combined the computable general equilibrium(CGE)model and the Monte Carlo method to examine the impact of SDS on the regional economy,with a focus on GDP,price index,employment rate,industrial structure and output,income and expenditure.We extended the standard CGE model,introduced the stochastic parameters into the production module,which had significant impact on economic output,and inserted the rate of change of the total labor supply and the expenditure share of early warning and protective measures into the income and expenditure module.[Results]SDS had significant impacts on regional GDP,employment rate,and industrial output from a macro perspective,and can reduce the income of residents and enterprises and increase expenditures from a micro perspective.The impact can be reduced by taking early warning and protective measures.[Conclusions]The protective measures taken for different grades of SDS have different effects.展开更多
基金Supported by National Natural Science Foundation of China"Research on the Improvement of CGE Model Randomization and the Optimization of Applicable Tax for Water Pollutants Based on the Perspective of Water Environmental Carrying Capacity(71864027)Study on the Impact Path and Spatio-temporal Simulation Evaluation of Carbon Trading Mechanism on Eco-efficiency of Energy-intensive Industries(72263025)+1 种基金Research on the Optimization Mechanism of Fixed Tax Rate in Environmental Protection Tax Regions"Based on the General Equilibrium Analysis of Environmental Self-cleaning Capacity and Economic Activities"(19YJA790023)Inner Mongolia Natural Science Foundation Project"Study on Economic Loss Evaluation Mechanism and Uncertainty of Dust Disaster Based on Stochastic CGE Model"(2020LH07001).
文摘[Objectives]The paper was to study the impacts of sand and dust storms(SDS)on regional economy.[Methods]In this paper,we combined the computable general equilibrium(CGE)model and the Monte Carlo method to examine the impact of SDS on the regional economy,with a focus on GDP,price index,employment rate,industrial structure and output,income and expenditure.We extended the standard CGE model,introduced the stochastic parameters into the production module,which had significant impact on economic output,and inserted the rate of change of the total labor supply and the expenditure share of early warning and protective measures into the income and expenditure module.[Results]SDS had significant impacts on regional GDP,employment rate,and industrial output from a macro perspective,and can reduce the income of residents and enterprises and increase expenditures from a micro perspective.The impact can be reduced by taking early warning and protective measures.[Conclusions]The protective measures taken for different grades of SDS have different effects.
