摘要
基于社会嵌入性视角重新划分了能源效率影响因素,概括了能源效率影响因素的社会嵌入性;应用超效DEA方法测算了泛珠三角区域的能源效率;实证分析了嵌入性视角下泛珠三角区域能源效率的影响因素。结果表明:能源效率的整体差异中,高达73.7%的份额是由各省能源效率的社会嵌入性不同造成的。直接显著性因素为第二产业比重、水核使用比重等;间接显著性因素为物流关系嵌入;兼具直接与间接显著因素为政治嵌入、资金流关系嵌入等。
Based on the perspective of social embedding, this paper divided energy efficiency influencing factor and outlines the social embedded factors influencing energy efficiency. And then, it calculated the provincial energy efficiency using su- per-efficient DEA method. Finally, it empiricaily analyzed the factors influencing the provincial energy efficiency from the perspective of embeddednes. Result shows that, there was 73.7% of the difference stems which caused by social embed- dednes. Significant direct impact factors included the proportion of the secondary industry, the proportion of water nuclear use, and so on. Significant indirect influence factors included logistics relation embedding. Both significant direct and indi- rect influence factors were political embedding, cash flow relation embedding, and so on.
出处
《软科学》
CSSCI
北大核心
2017年第4期80-84,共5页
Soft Science
基金
国家自然科学基金项目(71261004)
关键词
能源效率
社会嵌入性
多层统计模型
超效DEA
energy efficiency
social embedding
muhi|evel statistical model
super-efficiency DEA