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《科研管理》2017第3期封面文章摘要

2017-03-22 编辑部 科研管理


产学研合作中网络惯例对创新绩效的影响

 

卢艳秋,叶英平

 吉林大学 管理学院,吉林 长春 130022)

摘要:网络惯例是影响产学研合作创新绩效的关键因素。在对相关文献进行梳理的基础上,以组织间学习为中介变量,构建网络惯例、组织间学习影响合作创新绩效的理论模型,并利用收集的数据进行了规范的实证研究。研究结果表明:在产学研合作中网络惯例对合作创新绩效的影响呈现倒U型,即网络惯例存在“门槛效应”;同时组织间学习在网络惯例和合作创新绩效之间起到显著的中介作用。

关键词:产学研合作   网络惯例   组织间学习   合作创新绩效

Impact of network routines on the innovation performance in industry-university-institute innovation

Lu Yanqiu, Ye Yingping

(Management School, Jilin University, Changchun 130022, Jilin, China)

Abstract: Network routine is the key factor that influences cooperative innovation performance. By reviewing related literature and taking organizational learning as an intermediary variable, this paper builds up a theoretical model which proves that network routine and organizational learning influences performance of cooperative innovation, and makes an empirical study with the data collected. The study results show that the impact of network routine on cooperation innovation performance is inverted U-shaped, namely the network routine has a “threshold effect” while organizational learning plays a significant intermediary role between network routine and cooperative innovation performance.

Keywords: industry-university-institute cooperation; network routine; organizational learning; cooperative innovation performance



区域专利密集型产业创新效率评价及提升路径研究

—以浙江省为例


王黎萤,王佳敏,虞微佳

(浙江工业大学中国中小企业研究院, 浙江 杭州310023)

摘要:大力发展专利密集型产业是形成产业竞争优势的重要举措。由于各地区经济发展不均衡且主导产业各异,区域专利密集型产业依然面临科技投入产出不匹配、技术转化投资市场不活跃等问题,亟需开展创新效率评价及提升路径研究。研究首先构建了区域专利密集型产业,然后基于创新价值链对区域专利密集型产业创新过程按科技产出、物化产出和价值产出三阶段开展创新效率评价,运用DEA分别考察各阶段区域专利密集型产业和非专利密集型产业创新效率差异。结果表明区域专利密集型产业创新效率优于非专利密集型产业,但并非各环节均DEA有效,在物化产出和价值产出环节资源投入与产出不匹配,投入冗余现象严重。研究提出了区域专利密集型产业创新效率的提升路径和促进产业发展的对策建议。

关键词:专利密集型产业;创新效率;创新价值链;DEA;提升路径;对策


A study of innovation efficiency evaluation and promotion path of regional patent intensive industries by taking Zhejiang Province as an example

Wang Liying, Wang Jiamin, Yu Weijia

(China Institute for Small and Medium Enterprises, Zhejiang University of Technology, Hangzhou 310023,Zhejiang, China)

Abstract:Developing patent intensive industries is an important strategy to promote industrial competitive advantage. Due to unbalanced development of economy and differences in leading industry of different regions, regional patent intensive industries are still faced with problems of mismatch between technology input and output, inactive technical transformation investment market and other problems, so it is urgent to do some researches on innovation efficiency evaluation and promotion path. Based on construction of regional patent intensive industries and from the perspective of innovation value chain, the paper divides innovation processes into three stages,including science and technology output, commodity output and value output,and studies by using DEA to differences in innovation efficiency of regional patent intensive industries and non-patent intensive industries at different stages. The paper indicates that innovation efficiency of regional patent intensive industries are better than non-patent intensive industries,but they are not DEA effective in every stages, and innovation input and output for some of the industries do not match and the input redundancy of these industries are serious in the stages of commodity output and value output. Then the paper puts forward the promotion path for innovation efficiency on regional patent intensive industries, and some countermeasures are suggested to promote industrial development.

Keywords: patent-intensive industries; innovation efficiency; innovation value chain; DEA; promotion path; countermeasure


纳米能源领域技术发明能力比较研究


毛荐其1,2,李新秀1,陈雷2

(1 山东工商学院工商管理学院,山东 烟台264005;

2 山东能源经济协同创新中心,山东 烟台264005)

摘要:鉴于能源短缺和环境问题,纳米能源科技备受世界各国关注。本文将纳米能源技术划分为八个领域,基于德温特专利数据库收集了1991-2015年间的纳米能源各领域的专利数据,采用专利计量的方法进行分析,探讨纳米能源各技术领域技术的总体分布、结构分布、时间序列分布、地域分布以及技术热点等。研究发现:纳米能源各领域的技术活动呈现不均衡性发展;中国、美国、日本和韩国是纳米能源各领域技术活动的强国;各领域技术能力分布存在差异且技术热点不同。在未来的发展中,中国应巩固和增强现有的技术优势,实现各领域均衡协调发展。

关键词:纳米能源;专利计量;技术能力


Comparison of technological invention capacities in nano-energy field

Mao Jianqi1,2, Li Xinxiu1, Chen Lei2

(1. School of Business Administration, Shandong Technology and Business University, Yantai 264005, Shandong, China;

2. Shandong Collaborative Innovation Center of Energy Economy, Yantai 264005, Shandong, China)

Abstract:Given energy shortage and environmental issues, nano-energy has attracted many attentions worldwide. This article divides nano-energy technology into eight sub-fields and explores the overall distribution, structural distribution, temporal distribution, geographical distribution and hotspot technologies of each nano-energy sub-field using patentometric method based on nano-energy patent data during 1991-2015 collected from Derwent Innovation Index database. We find that technological activities in each subfield present imbalance development, and China, USA, Japan and South Korea are technological leaders, but there are differences in technological capacities and hotspot technologies in each field. China needs to consolidate and enhance existing technological advantages to achieve balanced progress in nano-energy field in the future.

Keywords: nano-energy; patentometric; technological capacities


政府R&D补贴对双寡头R&D投入产出的动态影响分析—基于有限理性的视角


赵骅,姚韵

(重庆大学经济工商管理学院,重庆400030)

摘要:基于双寡头企业R&D竞争模型,利用动力系统分支理论和混沌经济学原理,构建一个带有政府研发补贴的有限理性双寡头企业动态博弈模型,分析离散动态系统中政府研发补贴系数对R&D竞争均衡条件的限制作用及对整个双寡头市场运作状态的动态影响,并进行数值仿真。研究表明:1)Nash均衡条件下,合理的补贴系数取值范围应受到市场需求函数、有限理性企业R&D投入调速以及产品成本的约束。适当的补贴率有助于系统维稳,而不适当的补贴率则会使得R&D竞争进入混沌状态。2)补贴政策实行初期,市场会呈现出短暂的不均衡状态。双寡头企业前期R&D投入波动幅度大于利润波动幅度,且两者皆与补贴力度正相关。3)双寡头市场中,政府R&D补贴能够刺激企业加大R&D投入,并使得R&D投入调速较快的企业将取得更高的利润,而调速较慢的企业则会处于相对劣势。文章最后通过讨论给出政策层面上的相关建议,以期为相关研发补贴政策的制定提供参考。

关键词:R&D补贴;有限理性;混沌


An analysis of government R&D subsidies’ dynamic impacts on duopoly R&D inputs and outputs based on the perspective of bounded rationality

Zhao Hua, Yao Yun

(School of Economic and Business Administration, Chongqing University, Chongqing 400030, China)

Abstract:Based on the classic duopoly games and branch theory of dynamic system and chaos economics principle, this paper creates a dynamic model of R&D competition with government R&D subsidy, analyzing the effects of R&D subsidy on the R&D competition’s Nash equilibrium and the whole market operation, while a numerical simulation is carried out. The research shows that: (1) Appropriate subsidy rates are largely limited by market demand function, adjustment speed of R&D investment and product costs. Keeping R&D subsidy rates within certain range helps system maintain equilibrium states. In other words, bifurcation or chaos could happen if R&D subsidy coefficient falls out of range. (2) In the early stage of subsidy policy, the market could be in a short unstable state, in which the fluctuation range of R&D investment is larger than that of profit margin, and both of them have a positive relationship with government R&D subsidy rates. (3) Public R&D subsidies encourage corporations to increase R&D investment and enable corporations with faster adjustment speed to obtain higher return in dynamic duopoly games. At last, suggestions of subsidy strategies at policy level are given to provide reference for relevant R&D subsidy policy formulation.

Keywords: R&D competition; bounded rationality; chaos

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