我国省级绿色创新能力评价及实证  

Evaluation on Provincial Green Innovation Capability:Based on Index Screening Model of Collinearity-Coefficient of Variation

作　　者：曹慧[1,2] 石宝峰[1] 赵凯[1,2] 

机构地区：[1]西北农林科技大学经济管理学院 [2]西北农林科技大学应用经济研究中心

出　　处：《管理学报》2016年第8期1215-1222,共8页Chinese Journal of Management

基　　金：国家社会科学基金资助西部项目(15XJY010);国家自然科学基金资助青年项目(71503199);教育部人文社会科学研究规划基金资助项目(13YJA630141);中央高校基本科研业务费人文社会科学专项基金资助项目(2015RWYB09);陕西省社会科学基金资助一般项目(2014P21);西北农林科技大学软科学研究资助项目(RKX20160515)

摘　　要：从界定绿色创新能力的内涵出发,在初步构建绿色创新能力评价指标的基础上,运用共线性和变异系数方法对所构建的指标体系进行定量筛选,最终确定了区域绿色创新能力评价指标体系及其评价方法,并以我国31个省、市、自治区为例进行了实证分析。研究发现,运用共线性-变异系数指标筛选模型所构建的区域绿色创新能力评价指标体系具有可行性,其信息贡献率高达99.74%;从创新投入、创新产出、绿色发展3个方面构建了区域绿色创新能力评价指标体系;我国省级绿色创新能力分布不均衡,整体水平偏低。根据绿色创新能力综合得分,运用聚类分析方法将我国31个省(市、自治区)聚类成五大类,其中北京、上海和广东分别位于前3名,河北、河南和贵州依次为最后3名。By defining the regional green innovation capability （RGIC） and putting forward the primary index system of evaluating the RGIC, a systematical index system of evaluating the RGIC was established after using the screening model of collinearity-coefficient of variation, and an evaluating model was built. Finally, an empirical study of 31 provinces in China was conducted. The results showed, 1） the index system of evaluating the RGIC based on the screening model of collinearity-coef- ficient of variation is feasible, in which the information contribution rate is 99.74%. 2） The index system of evaluating the RGIC is consisted of innovation input, innovation output and green develop- ment. 3）The characteristics of RGIC in China were unbalance and relatively low. 31 provinces were classified into five categories by clustering analysis, in which Beijing, Shanghai and Guangdong loca- ted on top three and Hebei, Henan and Guizhou ranked as bottom three respectively, on the basis of the total score of RGIC.

关 键 词：绿色创新能力 指标筛选模型 评价指标体系 可持续发展 

分 类 号：C93[经济管理—管理学]