Impact of charging infrastructure construction on electric vehicle diffusion based on a multi-agent model.

To explore the impact of charging infrastructure on electric vehicles (EVs) diffusion, a multi-agent model of EVs-charging infrastructure construction (EV-CIC) is established based on complex adaptive system (CAS). The simulation examines four infrastructure factors and two policy interventions. The results show that the installation rate of private charging piles has the greatest impact, increasing market share by 4% for every 10% rise, followed by the number of public charging piles with 1.

Revisiting the Dynamic Response of Chinese Price Level to Crude Oil Price Shocks Based on a Network Analysis Method.

Crude oil price shocks have led to a fluctuation in commodity prices through the industrial chain and supply-demand relationships, which can substantially influence a country's economy. In this paper, we propose a transmission model of oil price shocks to Chinese price levels and explore the direct and indirect impacts of crude oil price shocks on various Chinese price indices, combining the Granger causality test, impulse response function, and network analysis method. The empirical data are the Brent, WTI, Dubai, and Daqing spot crude oil prices and eight categories of Chinese price indices from January 2011 to March 2020.

Structural decomposition analysis of global carbon emissions: The contributions of domestic and international input changes.

Finding the essential factors driving carbon emissions is vital for the carbon reduction policy-making. Different from the existing research, this paper studied the separate influence of internal and external input structural changes on global carbon emissions. We applied structural decomposition analysis (SDA) to decompose the global carbon emission change into six factors: namely, the carbon emission intensity, the domestic input structure, the international input structure, consumption pattern, consumption volume and population.

Identifying key sectors based on cascading effect along paths in the embodied CO emission flow network in Beijing-Tianjin-Hebei region, China.

The emission of carbon dioxide (CO) is a serious environmental issue, especially in Beijing-Tianjin-Hebei region. Unlike previous studies that mainly consider the bilateral and direct connection between two sectors, this study identifies path-based key sectors by considering the cascading effect of a sector on other sectors on paths of the entire economic system. We first construct an embodied CO emission flow network of Beijing-Tianjin-Hebei region, combining environmental input-output analysis and complex network theory.