Research on Environmental Tax with Emphasis on Developing Renewable Energy in Beijing, China

Abstract

Development of renewable energy is considered as an effective measure to control greenhouse gas emissions in the world. Policy instrument to promote development of the renewable energy have been paid more and more attention. As the most industrialized and urbanized region, Beijing plays as a demonstration role to show the impact of environmental policy instrument on the development of renewable energy and the mitigation of GHG emissions. In this paper, based on the input-ouput table, we constructed a dynamic input-output model introducing renewable energy industries, as well as the invironmental policy instrument of the emission tax. It not only can explore the relationships among Beijing's renewable energy, economy and environment, but also can analyze the future trends of the economy and GHG intensity from 2010 to 2025. The objective function is the maximized GRP, subject to greenhouse gases emissions constraint and some subjective functions. The simulation results illustrated that with the GHG emissions constraint as1.5 times of the 2010 level, carbon tax as 80 CNY/t CO 2 -e is effective to promote the renewable energy development, economic development and GHG emissions mitigation. Annual growth rate of GRP can be up to 6.4%. The economic growth rate increases 0.6% compared with the condition when not introducing the policy instrument. In 2025, the GHG intensity will be 41.8 t CO 2 -e/million CNY, 41.4% reduced compared with the 2010 level. Total power generation of renewable energy can be 40.9 GWh, contributing to the reduction of 25 million CO 2 -e emissions in 15 years. This research proves that the proposed environmental policy instrument is effective to realize the government's targets.

Coupling input–output analysis with multiobjective linear programming models for the study of economy–energy–environment–social (E3S) trade-offs: a review

“…It is shown that the proposed model is stable while keeping the characteristics of the original MODIO models. In the context of LP dynamic IO (LPDIO) models, Zou et al (2014a) considered the case of renewable energy industries, as well as the environmental policy instrument of the emission tax. Besides exploring the relationships among Beijing's renewable energy, economy and environment, the model analyses the future trends of the economy and GHG intensity from 2010 to 2025.…”

Evaluation of Integrated Air Pollution and Climate Change Policies: Case Study in the Thermal Power Sector in Chongqing City, China

“…We assume that economic aspect of the new technologies predicted and forecasted by IEA [38,39] are reliable enough for the simulation by allowing admissible level of estimation error. In addition, numerous similar disaggregating works using dynamic I-O models in different sectors have been published [40][41][42][43][44][45][46][47][48][49][50].…”