基于三阶段DEA模型的我国高新技术开发区创新效率研究

›› 2016, Vol. 28 ›› Issue (1): 42-52,155.

基于三阶段DEA模型的我国高新技术开发区创新效率研究

刘满凤¹, 李圣宏²

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

收稿日期:2014-07-30 出版日期:2016-01-30 发布日期:2016-02-01
作者简介:刘满凤,江西财经大学信息管理学院教授,博士生导师,博士;李圣宏,江西财经大学信息管理学院副教授,博士研究生。
基金资助:
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)。

Innovation Efficiency Evaluation of Hi-Tech Development Zones Based on the Three-stage DEA Model

Liu Manfeng¹, Li Shenghong²

1. Collaborative Innovation Center, Jiangxi University of Finance and Economics, Nanchang 330013;
2. School of Information Management, Jiangxi University of Finance and Economics, Nanchang 330013

Received:2014-07-30 Online:2016-01-30 Published:2016-02-01

摘要/Abstract

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;而基础设施的改善对高新区创新效率的提高具有一定的延迟。

关键词: 高新技术开发区, 三阶段DEA, 创新效率, 环境变量

Abstract:

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[DK]'s high-tech 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 results 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-tech innovation effect is not obvious, the improvement of the infrastructure for high-tech innovation efficiency has a certain delay.

Key words: hi-tech development zones, three-stage DEA, innovation efficiency, environment variables

刘满凤, 李圣宏. 基于三阶段DEA模型的我国高新技术开发区创新效率研究[J]. , 2016, 28(1): 42-52,155.

Liu Manfeng, Li Shenghong. Innovation Efficiency Evaluation of Hi-Tech Development Zones Based on the Three-stage DEA Model[J]. , 2016, 28(1): 42-52,155.

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