系统工程理论与实践
繫統工程理論與實踐
계통공정이론여실천
Systems Engineering—Theory & Practice
2014年
7期
1799~1810
,共null页
绿色产业评价 指标筛选 信息含量最大 指标体系
綠色產業評價 指標篩選 信息含量最大 指標體繫
록색산업평개 지표사선 신식함량최대 지표체계
green industry evaluation; index screening; the maximum information content; indicatorssystem
绿色产业评价是发展低碳经济，实现经济、社会与生态环境可持续发展的必要环节，建立合理的指标体系是绿色产业评价的关键．从反映绿色产业内涵的角度出发，从绿色生产、绿色消费、绿色环境三个方面海选指标，依据信息含量最大和冗余信息剔除原则定量筛选指标，构建了绿色产业评价指标体系．文章的创新与特色一是通过变异系数求解指标信息含量，遴选信息含量最大的指标．构建了由绿色生产、绿色消费、绿色环境三个准则层26个指标组成的绿色产业评价指标体系．二是通过变异系数筛选出各个类中变异系数（信息含量）最大的指标，保证了筛选出的指标对绿色产业评价有显著影响．三是通过R聚类将同一准则层内的指标分类，使不同类别的指标反映不同的数据特征．避免了绿色产业评价中不同指标反映的信息重复．四是研究表明最终建立的指标体系用27．7％的指标反映了98．44％的原始信息．
綠色產業評價是髮展低碳經濟，實現經濟、社會與生態環境可持續髮展的必要環節，建立閤理的指標體繫是綠色產業評價的關鍵．從反映綠色產業內涵的角度齣髮，從綠色生產、綠色消費、綠色環境三箇方麵海選指標，依據信息含量最大和冗餘信息剔除原則定量篩選指標，構建瞭綠色產業評價指標體繫．文章的創新與特色一是通過變異繫數求解指標信息含量，遴選信息含量最大的指標．構建瞭由綠色生產、綠色消費、綠色環境三箇準則層26箇指標組成的綠色產業評價指標體繫．二是通過變異繫數篩選齣各箇類中變異繫數（信息含量）最大的指標，保證瞭篩選齣的指標對綠色產業評價有顯著影響．三是通過R聚類將同一準則層內的指標分類，使不同類彆的指標反映不同的數據特徵．避免瞭綠色產業評價中不同指標反映的信息重複．四是研究錶明最終建立的指標體繫用27．7％的指標反映瞭98．44％的原始信息．
록색산업평개시발전저탄경제，실현경제、사회여생태배경가지속발전적필요배절，건립합리적지표체계시록색산업평개적관건．종반영록색산업내함적각도출발，종록색생산、록색소비、록색배경삼개방면해선지표，의거신식함량최대화용여신식척제원칙정량사선지표，구건료록색산업평개지표체계．문장적창신여특색일시통과변이계수구해지표신식함량，린선신식함량최대적지표．구건료유록색생산、록색소비、록색배경삼개준칙층26개지표조성적록색산업평개지표체계．이시통과변이계수사선출각개류중변이계수（신식함량）최대적지표，보증료사선출적지표대록색산업평개유현저영향．삼시통과R취류장동일준칙층내적지표분류，사불동유별적지표반영불동적수거특정．피면료록색산업평개중불동지표반영적신식중복．사시연구표명최종건립적지표체계용27．7％적지표반영료98．44％적원시신식．
Green industry evaluation is a necessary part to develop low-carbon economy and achievingsustainable development in the economic, social and ecological environment. Establishing a reasonableindicators system is the key to green industry evaluation. From the connotation of green industry, this paperchooses green industry evaluation indicators extensively which include green production, green consumptionand green environment. According to the principle of the maximum information content and the principleof eliminating redundant information, it establishes the evaluation indicators system of green industry.The special and contributions of this paper lie on four aspects. Firstly, it uses coefficient of variation tocalculate the information content of each indicator, then the indicator with the highest information contentis screened. At last, the evaluation indicators system of green industry composed of three criterion layersgreen production, green consumption and green environment, which includes 26 indicators, is established.Secondly, it uses coefficient of variation to screen the indicator with the highest information content loadingin each cluster, which ensures that the selected indicator has the greatest influence on the green industryevaluation. Thirdly, it uses R cluster analysis to classify indicators in the same criterion layer, whichensures that different indicators represent the different characteristics of the data and avoids the differentindicators reflect repeated information. Fourthly, the study result reveals that the final indicators systemreflects 98.44% of original information by 27.7% of initial indicators.
