国际上公路交通服务能力皆以道路拥堵情况(V/C值)及行车顺畅程度为评估标准,缺乏对交通安全潜在社会成本、时间成本及环境保护的测量.根据国际社会对绿色经济、绿色交通运输的重视与发展趋势,本文以台湾电子收费系统的数据为基础,针对...国际上公路交通服务能力皆以道路拥堵情况(V/C值)及行车顺畅程度为评估标准,缺乏对交通安全潜在社会成本、时间成本及环境保护的测量.根据国际社会对绿色经济、绿色交通运输的重视与发展趋势,本文以台湾电子收费系统的数据为基础,针对不同交通流需求量、路段平均行驶速率衍生的时间成本与污染排放、交通安全等因子,分别构建出行时间延滞成本、碳排放增量成本、潜在肇事概率成本等3个参数指标,利用这3个指标构建综合型绿色安全交通服务指标(Green and Safety Index for traffic levels of service,GSI),作为划分交通服务水平的评估标准,并通过实时在线软件,提供出行者道路出行延滞、碳排放及安全等社会成本信息.展开更多
In this paper we examine the impacts of carbon tax policy on CO2 mitigation effects and economic growth in China by using a dynamic energy-environment-economy computable general equilibrium （CGE） model. The results ...In this paper we examine the impacts of carbon tax policy on CO2 mitigation effects and economic growth in China by using a dynamic energy-environment-economy computable general equilibrium （CGE） model. The results show that 30, 60, and 90 RMB per ton CO2 of carbon tax rate will lead to a reduction of CO2 emissions by 4.52%, 8.59%, and 12.26%, as well as a decline in the GDP by 0.11%, 0.25%, and 0.39% in 2020, respectively, if carbon tax revenues are collected by the government. Moreover, with energy efficiency improvements the CO2 emission per unit of GDP will equally drop by 34.79%, 37.49%, and 39.92% in 2020, respectively. Negative impacts on sectors and households will be alleviated if carbon tax revenues are returned to these sectors and households.展开更多
Winter wheat and rice straw produced under ambient and elevated CO2 in a China rice-wheat rotation free-air CO2 enrichment （FACE） experiment was mixed with a paddy soil at a rate of 10 g kg^-1 （air-dried）, and the...Winter wheat and rice straw produced under ambient and elevated CO2 in a China rice-wheat rotation free-air CO2 enrichment （FACE） experiment was mixed with a paddy soil at a rate of 10 g kg^-1 （air-dried）, and the mixture was incubated under flooded conditions at 25℃ to examine the differences in decomposition as well as the products of crop residues produced under elevated CO2. Results showed that the C/N ratio and the amount of soluble fraction in the amended rice straw grown under elevated CO2 （FR） were 9.8% and 73.1% greater, and the cellulose and lignin were 16.0% and 9.9% lesser than those of the amended rice straw grown under ambient CO2 （AR）, respectively. Compared with those of the AR treatment, the CO2-C and CH4-C emissions in the FR treatment for 25 d were increased by 7.9% and 25.0%, respectively; a higher ratio of CH4 to CO2 emissions induced by straw in the FR treatment was also observed. In contrast, in the treatments with winter wheat straw, the CO2-C and CH4-C emissions, the ratio of straw-induced CH4 to CO2 emissions, and the straw composition were not significantly affected by elevated CO2, except for an 8.0% decrease in total N and a 9.7% increase in C/N ratio in the wheat straw grown under elevated CO2. Correlation analysis showed that the net CO2-C and CH4-C emission from straw and the ratio of straw-induced CH4 to CO2 emissions were all exponentially related to the amount of soluble fraction in the amended straw （P 〈0.05）. These indicated that under flooded conditions, the turnover and CH4 emission from crop straw incorporated into soil were dependent on the effect of elevated CO2 on straw composition, and varied with crop species. Incorporation of rice straw grown under elevated CO2 would stimulate CH4 emission from flooded rice fields, whereas winter wheat straw grown under elevated CO2 had no effect on CH4 emission.展开更多
The present paper analyzes historically the relationship between carbon emission and economic development by different stages through adopting elastic decoupling methods and Tapio evaluation criteria along with a comp...The present paper analyzes historically the relationship between carbon emission and economic development by different stages through adopting elastic decoupling methods and Tapio evaluation criteria along with a comparison with the national Five Year Plans. The analysis shows that the influencing factors to the relationship between carbon emission and economy in China are different, and economic development and carbon emission have less connection in the recent 30 years of reform and opening-up in China. It is a difficult task to realize the promise that we will reduce carbon emission by 40%-50% in 2020 based on the data from historical experience and different expectations for economic development from economists. Through constructing the calcula- tion model of carbon emission intensity gap according to different development scenarios, the analysis shows that economic growth, infrastructure investment and further development of industrial-ization are the main drivers to the increase of carbon emission, technological progress, and particularly, the reduction of energy consumption is the primary means to reduce carbon emission in China. It is imperative to transform the economic growth pattern, and it is a grand task to perform and there is a long way to go for China to maintain economic growth and reduce carbon intensity.展开更多
This paper provides a computation on both the China＇s aggregate CO2 emission volume and the emission of each sector over the period of 2002-2007, based on the input-output analysis. Further analysis is also given on ...This paper provides a computation on both the China＇s aggregate CO2 emission volume and the emission of each sector over the period of 2002-2007, based on the input-output analysis. Further analysis is also given on the various determinants of the change in the emission volume, with the aid of structural decomposition analysis （SDA） based on a residual-free method. Based on the input-output table of China in 2002 and 2007, the merge of sectors and the adjustment of price change have been made during the study. The emissions of carbon dioxide in China increased from 2,887.3 million ton to 5,664.6 million ton during 2002-2007. The average rate of increase is 13.3%, faster than the average rate of gross domestic product （GDP） growth 11.6% slightly. According to the process of SDA, the changes in emission are analyzed in terms of four different factors. Among the four factors studied in the paper, it is found that the change of emission intensity and structure of demand are the main reason of the decrease of emission, while production technology and scale effect increase the emission volume. The paper also finds that although the direct emission intensity decreased during the study period, the total emission intensity increased with the annual rate of 3.8%, which reflects the result of energy policy is not equal in different sectors.展开更多
文摘国际上公路交通服务能力皆以道路拥堵情况(V/C值)及行车顺畅程度为评估标准,缺乏对交通安全潜在社会成本、时间成本及环境保护的测量.根据国际社会对绿色经济、绿色交通运输的重视与发展趋势,本文以台湾电子收费系统的数据为基础,针对不同交通流需求量、路段平均行驶速率衍生的时间成本与污染排放、交通安全等因子,分别构建出行时间延滞成本、碳排放增量成本、潜在肇事概率成本等3个参数指标,利用这3个指标构建综合型绿色安全交通服务指标(Green and Safety Index for traffic levels of service,GSI),作为划分交通服务水平的评估标准,并通过实时在线软件,提供出行者道路出行延滞、碳排放及安全等社会成本信息.
基金supported by National Natural Science Foundation of China(No.70941034)"Chinese Environmental Tax" Project of Peking University-Lincoln Institute Center for Urban Development and Land Policy
文摘In this paper we examine the impacts of carbon tax policy on CO2 mitigation effects and economic growth in China by using a dynamic energy-environment-economy computable general equilibrium （CGE） model. The results show that 30, 60, and 90 RMB per ton CO2 of carbon tax rate will lead to a reduction of CO2 emissions by 4.52%, 8.59%, and 12.26%, as well as a decline in the GDP by 0.11%, 0.25%, and 0.39% in 2020, respectively, if carbon tax revenues are collected by the government. Moreover, with energy efficiency improvements the CO2 emission per unit of GDP will equally drop by 34.79%, 37.49%, and 39.92% in 2020, respectively. Negative impacts on sectors and households will be alleviated if carbon tax revenues are returned to these sectors and households.
基金Project supported by the National Natural Science Foundation of China (No.20377042)the Knowledge InnovationProgram of the Chinese Academy Sciences (No.KZCX2-408).
文摘Winter wheat and rice straw produced under ambient and elevated CO2 in a China rice-wheat rotation free-air CO2 enrichment （FACE） experiment was mixed with a paddy soil at a rate of 10 g kg^-1 （air-dried）, and the mixture was incubated under flooded conditions at 25℃ to examine the differences in decomposition as well as the products of crop residues produced under elevated CO2. Results showed that the C/N ratio and the amount of soluble fraction in the amended rice straw grown under elevated CO2 （FR） were 9.8% and 73.1% greater, and the cellulose and lignin were 16.0% and 9.9% lesser than those of the amended rice straw grown under ambient CO2 （AR）, respectively. Compared with those of the AR treatment, the CO2-C and CH4-C emissions in the FR treatment for 25 d were increased by 7.9% and 25.0%, respectively; a higher ratio of CH4 to CO2 emissions induced by straw in the FR treatment was also observed. In contrast, in the treatments with winter wheat straw, the CO2-C and CH4-C emissions, the ratio of straw-induced CH4 to CO2 emissions, and the straw composition were not significantly affected by elevated CO2, except for an 8.0% decrease in total N and a 9.7% increase in C/N ratio in the wheat straw grown under elevated CO2. Correlation analysis showed that the net CO2-C and CH4-C emission from straw and the ratio of straw-induced CH4 to CO2 emissions were all exponentially related to the amount of soluble fraction in the amended straw （P 〈0.05）. These indicated that under flooded conditions, the turnover and CH4 emission from crop straw incorporated into soil were dependent on the effect of elevated CO2 on straw composition, and varied with crop species. Incorporation of rice straw grown under elevated CO2 would stimulate CH4 emission from flooded rice fields, whereas winter wheat straw grown under elevated CO2 had no effect on CH4 emission.
文摘The present paper analyzes historically the relationship between carbon emission and economic development by different stages through adopting elastic decoupling methods and Tapio evaluation criteria along with a comparison with the national Five Year Plans. The analysis shows that the influencing factors to the relationship between carbon emission and economy in China are different, and economic development and carbon emission have less connection in the recent 30 years of reform and opening-up in China. It is a difficult task to realize the promise that we will reduce carbon emission by 40%-50% in 2020 based on the data from historical experience and different expectations for economic development from economists. Through constructing the calcula- tion model of carbon emission intensity gap according to different development scenarios, the analysis shows that economic growth, infrastructure investment and further development of industrial-ization are the main drivers to the increase of carbon emission, technological progress, and particularly, the reduction of energy consumption is the primary means to reduce carbon emission in China. It is imperative to transform the economic growth pattern, and it is a grand task to perform and there is a long way to go for China to maintain economic growth and reduce carbon intensity.
文摘This paper provides a computation on both the China＇s aggregate CO2 emission volume and the emission of each sector over the period of 2002-2007, based on the input-output analysis. Further analysis is also given on the various determinants of the change in the emission volume, with the aid of structural decomposition analysis （SDA） based on a residual-free method. Based on the input-output table of China in 2002 and 2007, the merge of sectors and the adjustment of price change have been made during the study. The emissions of carbon dioxide in China increased from 2,887.3 million ton to 5,664.6 million ton during 2002-2007. The average rate of increase is 13.3%, faster than the average rate of gross domestic product （GDP） growth 11.6% slightly. According to the process of SDA, the changes in emission are analyzed in terms of four different factors. Among the four factors studied in the paper, it is found that the change of emission intensity and structure of demand are the main reason of the decrease of emission, while production technology and scale effect increase the emission volume. The paper also finds that although the direct emission intensity decreased during the study period, the total emission intensity increased with the annual rate of 3.8%, which reflects the result of energy policy is not equal in different sectors.
