摘要
提高能源效率是辽宁省突破能源困局的重要途径。本文以辽宁省14个地级市为研究对象,首先采用超效率DEA测算各地级市2000-2012年的能源效率值,分析辽宁省能源效率在时间和空间上的总体分异特征,然后运用ESDA空间分析技术从整体和局部两个方面验证辽宁省能源效率的时空格局演化特征,最后应用马尔科夫链模型获得辽宁省能源效率各区域类型的转移情况。结果表明:①在时空分异特征方面,辽宁各地级市的能源效率总体上呈现逐年上升趋势,能源效率较高的地区主要有沈阳、大连和抚顺;②在时空格局及其演化方面,全省各地级市能源效率具有显著的空间自相关性,整体格局上所呈现的一定的集聚态势显示各地级市能源效率差异正在呈缩小趋势,局部格局上则是"高-高"类型区以沈阳、大连为中心逐步向沿海地区漫延,"低-低"类型区主要集中在葫芦岛、丹东和本溪;③在能源效率各类型区域的转移方面,辽宁省能源效率的稳定性由强到弱表现为中高区域、中低区域、高区域、低区域。
Improving energy efficiency is an important method to solve China's energy predicament,especially in Liaoning province. This article takes 14 prefecture-level cities in Liaoning as the research object and regards energy input,labor input,capital input and expected output as the measurement index. Based on data from 2000 to 2012,we first used super efficiency DEA to measure the value of energy efficiency of Liaoning province. Based on the value of energy efficiency,we analyzed differential characteristics of overall energy efficiency of time and space in Liaoning. We used ESDA spatial analysis function to measure the temporal and spatial pattern evolution characteristics of energy efficiency in Liaoning, then applied Markov modeling to conclude the regional transformation of energy efficiency. We found that regarding temporal and spatial differentiation characteristics,energy efficiency in the cities of Liaoning shows a rising trend year by year except for Fushun. High energy efficiency areas includes Shenyang,Dalian and Fushun. Energy efficiency shows significant spatial correlation and reflects a trend of convergence.The energy efficiency difference of cities in Liaoning is narrowing. Regarding local patterns,Shenyang and Dalian are'H-H'type areas;'H-H'type areas gradually extend to coastal areas.The'L-L'type areas are mainly concentrated in Huludao,Dandong and Benxi. Energy efficiency stability from strong to weak are middle-high areas,middle-lower areas,high areas and low areas.Energy efficiency trends in middle-high areas and middle-low areas are expanding year by year.
出处
《资源科学》
CSSCI
CSCD
北大核心
2015年第4期764-773,共10页
Resources Science
基金
教育部人文社会科学重点研究基地重大项目(14JJD790044)
辽宁省教育厅科学技术研究项目(L2013411)
关键词
能源效率
时空格局
超效率DEA
ESDA
辽宁省
energy efficiency
spatial and temporal patterns
super efficiency DEA
ESDA
Liaoning Province
