Dynamic Simulation Assessment of Environment Friendly Vehicles Introduction and Clean Energy Promotion Policy in China

Abstract

A unique GHG emission decline target was released by the Chinese government to facilitate the decrease in GHG emission per unit of GDP in China. In other words, an increase in GHG is permitted under a GDP reflecting a better quality environment quality. Therefore, technology promotion and policy evolution are necessary to realize this within a limited period. This research considered a GHG emission tax and subsidy policy to achieve environmental targets via environment friendly vehicle introduction and clean energy promotion. An optimization simulation model based on extended input-output model was explored to compare with four policy scenarios. The simulation result shows that hybrid vehicle and electric vehicle introduction are powerless to meet environment targets unless more attention is paid to solar power and wind power along with thermal power. This research proposed an optimal GHG emission tax rate and subsidy rate for policy makers in China to reach their environment goal.

Simulation Analysis of Impact of Smart Grid and Renewable Energy on GHG Emission

“…It is also widely used to comprehensively analyze environmental impact, energy consumption and economic growth (Nijkamp, 1977;Lu et al, 2016;Song et al, 2015). Some basic assumption is implied in the I-O model.…”

“…Fethi Amri (2017) analyzes economic growth-energy consumption nexus in Algeria between 1980 and 2012 using co-integration tests and proposes policy makers in Algeria should enhance the renewable energy share together with controlling the non-renewable one. Lu et al (2016) introduce carbon tax and subsidy for hybrid vehicle, electric vehicle and renewable power, and comprehensively evaluate the effect of GHG emission and economic growth by simulation based on extended input-output (I-O) model. Song et al (2015) construct dynamic simulation model with I-O analysis to assess the impact of renewable energy and industrial restructuring on economic development, energy consumption and GHG emission.…”

Determination Model of Suitable Coastal Transit-Oriented Development Location, Case Study: Paotere, Makassar

“…Although it is more expensive and pollutive, commuter from small islands and others who wanted to shop at traditional market, gas station, workshop, industry, relatives and shopping center usually took motor rickshaw, taxi and or private car (Lu, Zhu, Li, Singh, & Nozaki, 2016). Those vehicles were used, as the destination is not located within walking radius furthermore, bus rapid transit (BRT), mass rapid transit (MRT) or light rapid transit (LRT) are not provided (P. Green et al, 2016).…”