摘要
通过构建共享投入关联两阶段DEA模型,测度2008—2017年中国30个省份的绿色创新效率,利用动态空间杜宾模型实证分析创新效率的空间溢出效应.结果表明:考察期内,不同区域间两阶段绿色创新效率差异明显,南部地区较高.我国工业企业绿色科技研发效率在地理距离下呈显著空间正相关,成果转化效率在社会经济距离矩阵下呈部分显著空间正相关.科技研发阶段,产业结构、财政分权对本省绿色创新效率具有显著积极影响;成果转化阶段,市场化程度、区域开放度对本省绿色成果转化起明显的促进作用,对邻近省份起阻滞作用.最后为促进南北地区经济、社会和生态环境的绿色协调发展提出建议.
Based on the regional differences between the north and the south,a two-stage DEA model of shared input correlation was built to measure the green innovation efficiency and achievement transformation efficiency in 30 Chinese provinces from 2008 to 2017.The spatial spillover effect of two-stage green innovation efficiency in China's industrial enterprises is empirically analyzed by using dynamic spatial Durbin model.The results show that:from 2008 to 2017,there are obvious differences of green innovation efficiency in two stages between different regions.The two-stage green innovation efficiency is relatively high in the southern region,and the trend shows a slow decline and then an increase.The green R&D efficiency in Chinese industrial enterprises shows significant spatial positive correlation under geographical distance matrix,and the transformation efficiency of results shows significant spatial positive correlation under socio-economic distance matrix.In the stage of R&D,industrial structure and fiscal decentralization have a significant positive impact on the efficiency of green innovation in this province.In the stage of achievement conversion,marketization degree and regional openness play an obvious role in promoting the green achievement conversion of this province.Finally,some countermeasures are provided.
作者
沈路
钱丽
SHEN Lu;QIAN Li(School of Business Administration,Anhui University of Finance&Economics,Bengbu 233030,China)
出处
《湖北文理学院学报》
2020年第5期30-39,共10页
Journal of Hubei University of Arts and Science
基金
国家社会科学基金项目(15CGL010)
安徽省高校优秀青年人才基金重点项目(gxyqZD2016093)
安徽财经大学研究生科研创新基金(ACYC2017095)。
关键词
南北差异
绿色创新效率
空间溢出效应
共享投入关联两阶段DEA模型
动态SDM
north-south difference
green innovation efficiency
spatial spillover effect
a two-stage DEA model of shared input association
dynamic SDM