| 我国高技术产业R＆D效率的随机前沿函数分析——基于2002-2011年27个省市面板数据 |
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| 引用本文： | 徐俊杰,汪浩瀚.我国高技术产业R＆D效率的随机前沿函数分析——基于2002-2011年27个省市面板数据[J].科技与管理,2014(5):65-70. |
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| 作者姓名： | 徐俊杰 汪浩瀚 |
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| 作者单位： | 宁波大学商学院,浙江宁波315211 |
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| 摘 要： | 基于随机前沿函数,考查了2002-2011年我国各省市高技术产业的研发活动,分别对R＆D中间产出效率和R＆D最终产出效率进行衡量,进而分析各种影响因素对产出效率的具体效应.研究发现：我国高技术产业R＆D投入未形成规模经济,且R＆D资本投入比R＆D人员投入效率高;各省市高技术产业R＆D效率差异明显,具体呈东部领先,中西部和东北地区落后的现状;企业规模、政府政策影响、市场化程度、市场结构以及时间因素对高技术产业R＆D中间产出效率和R＆D最终产出效率的作用差异显著.
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| 关 键 词： | 高技术产业 R&D效率 随机前沿函数 |
Chinese Hi-tech industry R＆D efficiency by using stochastic frontier function analysis：based on panel data of 27 province from 2002-2011 |
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| XU Jun-jie,WANG Hao-han.Chinese Hi-tech industry R＆D efficiency by using stochastic frontier function analysis：based on panel data of 27 province from 2002-2011[J].Science-Technology and Management,2014(5):65-70. |
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| Authors: | XU Jun-jie WANG Hao-han |
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| Institution: | (Business School, Ningbo University, Ningbo 315211, China) |
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| Abstract: | Based on tochastic frontier function, this article examine R＆D activity of every province＇ s Hi-tech industry from 2002 to 2011. Then this paper evaluates R＆D intermediate output efficiency and R＆D final output efficiency. After that, it analyses every kind of element which affects output efficiency. The research finds： Chinese Hitech industry＇ s R＆D input doesn＇ t form economies of scale. R＆D capital input is more efficient than R＆D person input ; Hi-tech industry＇ s R＆D efficiency of each province is different. The east area keeps ahead of the middle area, the west area and the northeast area; The enterprise scale, the policy efficiency, the marketization process, the market structure, and time element have different significant effects on R＆D intermediate output efficiency and R＆D final output efficiency. |
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| Keywords: | Hi-tech industry R＆D efficiency stochastic frontier function |
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