دانلود رایگان مقاله برای اجرای پایدار سیاست های کاهش کربن تحت یک شبیه سازی بازی تکاملی

abstract

The study proposes an evolutionary game model to investigate the possible responses of enterprises to incentive policies related to the implementation of a carbon reduction labeling scheme, such as a direct subsidy and preferential taxation rates. System dynamics is applied to simulate the created game model and we analyze two scenarios, namely the individual and combined intervention of incentive policies. A case study of China's air conditioner enterprises is then examined, with the simulation results highlighting that both a direct subsidy and preferential taxation positively influence the implementation of the carbon reduction labeling scheme. In particular, the combination of these two incentive policies is efficient compared with individual policy making. Finally, the limitations of the game theoretical analysis are discussed and future research directions are provided.

6. Conclusions and implications

Carbon reduction labeling schemes are regarded as an effective measure to raise the environmental awareness of climate change and thus promote green consumption and reduce carbon emissions. The study presents an evolutionary game model to examine how enterprises respond to a range of governmental incentive policies related to the implementation of a carbon reduction labeling scheme, namely a direct subsidy and a series of preferential tax rates. SD is then employed to simulate the created game model by using scenario analysis based on two scenarios: an individual and a combined policy intervention. Next, a case study of China's air conditioner enterprises is presented, which shows that subsidy and preferential taxation policy significantly influence the implementation of the carbon reduction labeling scheme. In particular, the simulation results show that a direct subsidy given to enterprises is better than one given to consumers. A combination of incentives (i.e. a direct subsidy and preferential taxation) is more efficient to drive the implementation of the carbon reduction labeling scheme. The presented simulation results offer insightful suggestions for enterprises to take actions on their lifecycle-associated carbon emissions to improve product quality as well as move toward low-carbon consumption.