摘要
为了评价节约型社会建设水平,根据建设节约型社会的内涵,遵循指标体系构建的一般原则,借鉴相关研究成果,采用专家咨询法,构建了由生产成本型节约、消费适度型节约、效率提高型节约、循环利用型节约、环境保护型节约、资源储备型节约、文化制度型节约7个准则层共47个指标组成的评价指标体系,并用该指标体系对全国各省市区进行了横向比较应用研究。用因子分析法计算了各省份各准则层节约分值及综合节约分值。用聚类分析法将各省份分成3种节约类型:相对高度节约类型、相对中度节约类型、相对低度节约类型。研究结果表明,属于相对高度节约和相对中度节约类型的省份位于东部沿海地区。经济增长正向集约型转变,产业结构向高级化转变,人们的节约意识较强;属于相对低度节约类型的省份位于中西部地区,经济增长方式仍是粗放型,产业结构仍处低水平状态。最后,提出了一些政策建议。
In order to evaluate the level of resource-saving society construction, following common principles for establishment of indicator system, and using experts consultation method,an indicator system consisting of 7 criterion layers and 47 indicators was established based on the connotation of resourceaving society. The 7 criterion layers included such saving types as production-cost saving, suitable consumption saving, ef- ficiency enhancement,circular utilization, environmental protection, resources reserve, and civilization system. Then the indicator system was applied to compare the saving level of Chinese provinces and cities horizontally. Saving scores of each criterion layer and general saving scores of all provinces were calculated by adopting the method of factor analysis. According to the calculation results, all provinces were divided into three types-high-level saving type, mid-level saving type and low-level saving type. The results indicated that,provinces in eastern China are comparatively more economical, with economic growth type transforming toward intensive economic growth direction, the structure of production improving toward highgrade,and people having strong consciousness of saving. But the central and western China are not economical-the mode of economic growth is still extensive,and the production structure is still at low-level. Several suggestions were put forward at last.
出处
《长江流域资源与环境》
CAS
CSSCI
CSCD
北大核心
2008年第1期6-9,共4页
Resources and Environment in the Yangtze Basin
基金
"十一五"国家重点图书出版规划课题
湖南省社会科学院重点课题
国土资源部信息中心全球资源战略研究开发实验室资助课题"我国资源节约战略与管理机制研究"阶段性成果.
关键词
节约型社会
评价指标体系
因子分析
聚类分析
节约类型
resource-saving society
indicator system for evaluation
factor analysis
cluster analysis
saving type
