软科学
軟科學
연과학
Soft Science
2015年
3期
74~78
,共null页
能源效率 碳排放效率 影响因素 STIRPAT模型
能源效率 碳排放效率 影響因素 STIRPAT模型
능원효솔 탄배방효솔 영향인소 STIRPAT모형
energy efficiency; carbon emission efficiencies; influential factors; STIRPAT model
采用DEA方法测度中国1995～2011年间能源和碳排放效率,并拓展STIRPAT模型,通过Tobit回归分析中国能源和碳排放效率的影响因素。研究表明：整体上中国能源和碳排放效率呈下降趋势,东部能源和碳排放效率最高,中部其次,西部最低。经济增长和节能技术是影响能源和碳排放效率的关键因素,其中经济增长会降低中国能源和碳排放效率。工业化水平对能源和碳排放效率的影响存在区域差异,不过统计上不显著。人口规模与能源和碳排放效率负相关。
採用DEA方法測度中國1995～2011年間能源和碳排放效率,併拓展STIRPAT模型,通過Tobit迴歸分析中國能源和碳排放效率的影響因素。研究錶明：整體上中國能源和碳排放效率呈下降趨勢,東部能源和碳排放效率最高,中部其次,西部最低。經濟增長和節能技術是影響能源和碳排放效率的關鍵因素,其中經濟增長會降低中國能源和碳排放效率。工業化水平對能源和碳排放效率的影響存在區域差異,不過統計上不顯著。人口規模與能源和碳排放效率負相關。
채용DEA방법측도중국1995～2011년간능원화탄배방효솔,병탁전STIRPAT모형,통과Tobit회귀분석중국능원화탄배방효솔적영향인소。연구표명：정체상중국능원화탄배방효솔정하강추세,동부능원화탄배방효솔최고,중부기차,서부최저。경제증장화절능기술시영향능원화탄배방효솔적관건인소,기중경제증장회강저중국능원화탄배방효솔。공업화수평대능원화탄배방효솔적영향존재구역차이,불과통계상불현저。인구규모여능원화탄배방효솔부상관。
Using DEA method,the paper measures Chinese energy and carbon emission efficiencies from 1995 to 2011. Extending STIRPAT model and applying Tobit regression,it analyzes influential factors of Chinese energy and carbon emission efficiencies. It indicates that,on the whole,Chinese energy and carbon emission efficiencies have a declining tendency.Energy and carbon emission efficiencies are the highest in the eastern region,followed by the central and western regions.Economic growth and energy-saving technology are the key factors that affect energy and carbon emission efficiencies. Economic growth will reduce energy and carbon emission efficiencies. There are regional differences in the effects of industrialization level on energy and carbon emission efficiencies,which is not significant statistically. There is a negative correlation between population size and energy and carbon emission efficiencies.
