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作 者:钟祖昌[1]
机构地区:[1]广东外语外贸大学国际工商管理学院,广东广州510006
出 处:《财经研究》2011年第9期80-90,共11页Journal of Finance and Economics
基 金:国家自然科学基金(71003100);广东省哲学社会科学“十一五”规划课题(090-24);广州市哲学社会科学“十一五”规划课题(08Y35);2011年度哲学社会科学规划课题“电子商务与网络经济”研究基地项目(2011JD22)
摘 要:文章将SBM模型与三阶段DEA模型相结合,考虑外部环境因素和随机冲击对效率测量的影响,实证评估了2001-2008年30个OECD国家和中国的创新效率。研究结果显示,各国环境外生变量和随机冲击,包括人均GDP、产业结构、对外开放度和政府干预对创新SBM效率有显著影响。剔除环境因素和随机因素之后,各国平均创新SBM效率由0.563上升到0.646,提高了约14.74%,但在样本期内没有明显的逐年升高或者逐年下降的趋势。从区域来看,调整后日、韩创新SBM效率最高,北美洲次之,欧洲最低。从年度波动情况来看,各国创新SBM效率的差距有不断缩小的趋势。By combing SBM model and three-stage DEA model, this pa- per takes the effects of external environmental factors and random shocks on efficiency measurement into account, and empirically evaluates the innova- tion SBM efficiency of 30 OECD members and China from 2001 to 2008. The results show that external environmental factors and random shocks such as GDP per capita, industrial structure, opening-up degree, government inter- vention have significant effects on innovation SBM efficiency. After elimina- ting the exogenous environmental variables and random shocks, the average innovation SBM efficiency increases by 14. 74~, from 0. 563 to 0. 646, but during the sample period, it has no significant upward or downward trend yearly. From the regional angle, the innovation SBM efficiency of Japan and South Korea is the highest, followed by North America and Europe in or- der. From the angle of annual fluctuations, the gap of innovation SBM effi- ciency between countries is constantly shortening.
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