| Srl | Item |
| 1 |
ID:
150890
|
|
|
|
|
| Summary/Abstract |
This paper investigates the spatial dynamics of per capita carbon dioxide (CO2) emissions in China. The analyses are conducted by employing a continuous dynamic distribution approach and panel data of 286 cities at the prefecture and above-prefecture level. The results show that per capita CO2 emissions tend to converge during the sample period of 2002–2011. However, multimodality is found in the ergodic distribution of the full sample. It is also found that there is more persistence in cities with low per capita CO2 emissions, and more mobility in cities with high per capita CO2 emissions. The analyses also show that the dynamics of per capita CO2 emissions are significantly different among various geographical, income and environmental policy groups. The conditional distribution analyses indicate that multimodality cannot be explained independently by any one of the two factors, namely geographical location or income level. The findings in this study may have important policy implications for CO2 abatement in China.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2 |
ID:
150782
|
|
|
|
|
| Summary/Abstract |
This paper proffers a tiered gasoline pricing method from a personal carbon trading perspective. An optimization model of personal carbon trading is proposed, and then, an equilibrium carbon price is derived according to the market clearing condition. Based on the derived equilibrium carbon price, this paper proposes a calculation method of tiered gasoline pricing. Then, sensitivity analyses and consumers' surplus analyses are conducted. It can be shown that a rise in gasoline price or a more generous allowance allocation would incur a decrease in the equilibrium carbon price, making the first tiered price higher, but the second tiered price lower. It is further verified that the proposed tiered pricing method is progressive because it would relieve the pressure of the low-income groups who consume less gasoline while imposing a greater burden on the high-income groups who consume more gasoline. Based on these results, implications, limitations and suggestions for future studies are provided.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|