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机构地区:[1]江西财经大学协同创新中心,南昌330013 [2]江西财经大学信息管理学院,南昌330013
出 处:《管理评论》2016年第1期42-52,155,共12页Management Review
基 金:国家自然科学基金资助项目(71263020);江西省科技落地计划项目(KJLD12064);江西省高校人文社科重大招标项目(ZDGG201305)
摘 要:国家级高新技术开发区是各地区创新生产的排头兵和领头羊,其创新生产的效果直接影响地区的技术创新和经济发展。本文运用三阶段DEA模型对2012年我国高新区的创新效率进行了研究。不仅研究了环境变量对各高新区创新效率的影响,而且通过传统DEA模型和三阶段DEA模型结果对比,分析了高新区创新效率情况。研究结果表明:技术效率、纯技术效率和规模效率最高的是长三角和珠三角地区,其次为东北和环渤海地区,最差的是西部和中部地区。环境因素严重制约了中西部地区高新区的创新效率。环境变量的作用表现在:改善宏观经济环境,加大政策支持力度,优化产业结构,提高市场开放程度都有利于高新区创新效率的改善,这些也是提高落后地区创新效率的有效选择;National high-tech development zones are the pioneers of regional innovation production and their innovative production effects directly influence the technological innovation and economic development in the region. In this paper, using the three stage DEA model, the innovation efficiency of China' s high-teeh zones in 2012 is studied. The authors not only study the effect of innovation efficiency by the environment variables, but also assess the innovation efficiency by the traditional DEA model and the three stage DEA model. The re- suits show that the technical efficiency, pure technical efficiency and scale efficiency are the highest for the Yangtze river delta region and the Pearl river delta region, followed by the Northeast and Circum-Bohai sea region, and the worst is the Western region and Central region. The environmental factor is a key constraint to the high-tech zone innovation efficiency of central and western regions. The environment variables play their roles in improving the macroeconomic environment, intensifying policy support and optimizing the industrial structure, all of which are helpful for more efficient innovation in both high-tech areas and underdeveloped areas. And given that market openness on the efficiency of the high-teeh innovation effect is not obvious, the improvement of the infrastructure for high-tech innovation efficiency has a certain delay.
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