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| 1 |
ID:
116514
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| Publication |
2012.
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| Summary/Abstract |
This paper provides a fundamental study of China's consumption and output fluctuations. The most recent literature reports that, in the post-1978 period, detrended consumption is significantly more volatile than detrended output in China. This indicates the inability to impose consumption smoothing. However, in those previous studies, consumption of durables, which has some features of capital, as discussed in the real business cycle literature, was not separated from private consumption. This paper is the first to estimate consumer durables for China and their service values following the method introduced in Cooley and Prescott (1995). We adjust the consumption measure to make it consistent with the real business cycle literature, and find that consumption of durables is much more volatile than output, but non-durable consumption is less volatile than, and less correlated with, output that provides evidence that supports consumption smoothing in China.
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| 2 |
ID:
185733
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| Summary/Abstract |
In order to reduce vehicle carbon emission, China launched many policies to develop new energy vehicles (NEVs). Using the panel data of 30 provinces in China from 2009 to 2018, this paper constructs a dynamic spatial panel data model based on spatial Dubin model (SDM) to empirically analyze the dynamic spatial spillover effect of NEV industry policies on the carbon emissions of China's transportation sector. The results are as follows: Firstly, low carbon emissions of transportation sector in one region can promote the realization of low carbon emissions in spatially adjacent or economically similar regions, and this relationship shows a significant dynamic inertia and increasing trend. Secondly, the NEV industry policies have both short-term and long-term effects on carbon emissions of transportation sector in local region. Thirdly, NEV industry policies in one region can produce positive spatial spillover effect on carbon emissions of transportation sector in spatially adjacent or economically similar regions, but this effect needs long-term transmission to show significant effect. Fourthly, both the education level of regional residents and the investment scale of transportation sector are negatively correlated with the carbon emission of transportation sector. Based on the results, some suggestions are put forward.
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