采用水足迹理论分析江苏省2000-2010年水资源的真实利用情况,同时从投入产出的角度出发,选取农业用水量、工业用水量、生活用水量、COD排放总量、固定资产投资总额和从业人员数作为投入指标,GDP和粮食产量作为产出指标,运用数据包络分析中的C2R和BC2模型对这11a间江苏省的水资源利用效率进行评价.研究表明:2010年江苏省的水足迹为778.28m3,总体呈缓慢上升趋势.农业用水、工业用水和虚拟水贸易是江苏省水资源利用中的主要组成部分.11a间DEA有效年份占64％,投入冗余和产出不足均为0,即投入和产出达到最优状态.在DEA无效年份中存在冗余,存在资源浪费和污染高排放的情况.可以通过DEA投影结果对其进行改进,实现资源的最优配置.

In recent years,the socio-economic development of Jiangsu Province has entered a new period of rapid development,which is accompanied by the high consumption of energy and the enormous emission of GHG.In 2010,the GDP of Jiangsu Province was 4.142 5 trillion yuan,which is 20% higher than 2009.Meanwhile,in the same year Jiangsu Province consumed 257.737 million tons of standard coal equivalent,with 80% of the energy imported from other provinces.Nowadays energy consumption and economic growth are becoming increasingly salient conflicts in Jiangsu Province.At the same time,GHG emissions also become one of the main restrict factors of economic development in Jiangsu Province.Due to high energy consumption,Jiangsu Province produced 621.2 million tons of CO2 emissions,and GDP per capita CO2 emissions were 3.34 tons/ten thousand Yuan in the year 2005.While in the year 2008 the CO2 emissions were 833.4 million tons and GDP per capita CO2 emissions were 2.69 tons/ten thousand Yuan.The GDP per capita CO2 emissions of the year 2008 just fell by 19.8%,compared to that of the year 2005.According to the actual situation in Jiangsu Province,the Long-range Energy Alternative Planning System Model is involved to develop Jiangsu Model in our empirical study.Two scenarios,reference scenario and sustainable development scenario,are set by the potential and vital factors affecting energy demand in Jiangsu Province.The future energy demand and CO2 emission trends in each scenario from 2010 to 2050 are simulated and predicted,and accordingly,the energy development stratagems for Jiangsu Province are put forward as conclusion.The results of our empirical study show that,in two kinds of scenarios,the total energy demand of Jiangsu Province will continue to rise until the year 2045.In the reference scenario,the total energy demand of Jiangsu Province will be 331.075,394.057,482.775 and 472.999 million tons of standard coal equivalent in the year 2020,2030,2040 and 2050,respectively.While the total energy demand in the sustainable development scenario is assumed to fell by 12.50% in the year 2020,7.34% in the year 2030,11.5% in 2040 and 17.9% in the year 2050,compared to that of the reference scenario.In future,the second industry is still energy-intense sector,but on development trends,and its proportion of the total energy demand by the second industry will be reduced.In contrast,the energy consumption by the tertiary industry,ranked the second,is assumed to rise gradually.The primary energy demand in the future will still give priority to coal,but because of treatment costs and other constraints,the coal demand increase slowly,and the proportion of coal demand is assumed to decline.However,the share of renewable energy is assumed to rise steadily,and it may become the important alternative energy sources for coal.Research also shows that the CO2 emission and CO2 emission intensity in sustainable development scenario is lower than that in reference scenario.

This study develops a theoretical framework of green consumer behavior to determine the effects of personal influence, knowledge of green consumption, attitudes toward green consumption, internal and external moderators and examines whether these effects differ significantly among purchasing, using and recycling behaviors. Correlation analysis and multiple regression are applied to assess data collected by a questionnaire survey. The results indicate that attitudes are the most significant predictor of purchasing behavior. Using behavior is mainly determined by income, perceived consumer effectiveness and age, while recycling behavior is strongly influenced by using behavior. These findings have policy implications and improve understanding of green consumer behavior in China.