中国高技术产业研发创新效率研究——基于资源约束型两阶段DEA模型的新视角

冯志军, 陈伟

系统工程理论与实践 ›› 2014, Vol. 34 ›› Issue (5) : 1202-1212.

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系统工程理论与实践 ›› 2014, Vol. 34 ›› Issue (5) : 1202-1212. DOI: 10.12011/1000-6788(2014)5-1202
论文

中国高技术产业研发创新效率研究——基于资源约束型两阶段DEA模型的新视角

    冯志军1,2, 陈伟2
作者信息 +

R&D innovation efficiency of Chinese high-tech industries——Based on two-stage network DEA model with constrained resources

    FENG Zhi-jun1,2, CHEN Wei2
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文章历史 +

摘要

针对传统数据包络分析(DEA)模型的不足,结合高技术产业研发创新过程的特征,将其研发创新过程分解为技术开发和经济转化两个前后相续的子阶段,考虑“子阶段之间的关联关系”和“初始投入在两个子阶段间的分配结构”,构建了资源约束型两阶段DEA模型,从而实现了对高技术产业研发创新效率测算方法的改进,运用该模型实证测评了中国高技术产业17个细分行业研发创新的整体及各子阶段的效率,并同时得到初始投入的配置信息. 与现有研究相比,该模型突破了传统DEA模型无视高技术产业研发创新系统内部组织结构的限制. 实证结果表明:中国高技术产业17个细分行业不论是从研发创新整体上,还是从研发创新的两个子阶段,效率值都偏低,均有很大的提升空间;根据高技术产业研发创新两阶段效率矩阵图可知,除了电子计算机外部设备制造业等3个细分行业属于高效集约型研发创新,大部分行业表现为两个子阶段效率双差或一强一差;根据17个细分行业所隶属的5个产业大类来分析,电子计算机及办公设备制造业研发创新过程的整体效率最高、航空航天器制造业最低.

Abstract

Aiming at the deficiency of traditional data envelopment analysis (DEA) model, combined with the characteristics of high-tech industry R&D innovation process, the R&D innovation process is decomposed into technological development and economic transformation sub stage, considering "relationship of the sub stage" and "distribution structure of the initial input in the sub stage", this paper constructs two-stage network DEA model with constrained resources, so it realizes the improvement of high-tech industry R&D innovation efficiency measurement method, and this model is applied to empirically evaluate the efficiency of R&D innovation and sub stage for 17 Chinese high-tech industries, and get initial input configuration information. Compared with the existing researches, this model breaks through constraints which traditional DEA models ignore the high-tech industry R&D innovation system internal structure. The empirical results show that: From both the whole and two sub stage, the efficiency of 17 Chinese high-tech industries are low, which have considerable improvement room; according to efficiency matrix diagram, only ECPEM 3 subdivision industries belong to efficient intensive innovation, the most industries are characterized by double weak or a strong and a weak; according to the 5 kinds which 17 industries belong to, the overall R&D innovation efficiency of ECOEI is the highest, AAMI is the lowest.

关键词

高技术产业 / 研发创新效率 / 两阶段DEA模型 / 资源约束 / 效率矩阵图

Key words

high-tech industries / R&D innovation / two-stage network DEA model / constrained resources / efficiency matrix

引用本文

导出引用
冯志军 , 陈伟. 中国高技术产业研发创新效率研究——基于资源约束型两阶段DEA模型的新视角. 系统工程理论与实践, 2014, 34(5): 1202-1212 https://doi.org/10.12011/1000-6788(2014)5-1202
FENG Zhi-jun , CHEN Wei. R&D innovation efficiency of Chinese high-tech industries——Based on two-stage network DEA model with constrained resources. Systems Engineering - Theory & Practice, 2014, 34(5): 1202-1212 https://doi.org/10.12011/1000-6788(2014)5-1202
中图分类号: F276.44   

参考文献

[1] 白俊红, 江可申, 李婧. 应用随机前沿模型评测中国区域研发创新效率[J]. 管理世界, 2009, 25(10): 51-61. Bai Junhong, Jiang Keshen, Li Jing. Application of stochastic frontier model for evaluating the efficiency of Chinese regional innovation[J]. Management World, 2009, 25(10): 51-61.
[2] 张海洋. 中国省际工业全要素R&D效率和影响因素: 1999~2007[J]. 经济学(季刊), 2010, 9(3): 1029-1051. Zhang Haiyang. On the provincial total factor R&D efficiency and its determinants in China: 1999~2007[J]. China Economic Quarterly, 2010, 9(3): 1029-1051.
[3] Raab R A, Kotamraju P. The efficiency of the high-tech economy: Conventional development indexes versus a performance index[J]. Journal of Regional Science, 2006, 46(3): 545-562.
[4] Chen C J, Wu H L, Lin B W. Evaluating the development of high-tech industries: Taiwan's science park[J]. Technological Forecasting and Social Change, 2006, 73(4): 452-465.
[5] 吴瑛, 杨宏进. 基于R&D存量的高技术产业科技资源配置效率DEA度量模型[J]. 科学学与科学技术管理, 2006, 27(9): 28-32.Wu Ying, Yang Hongjin. DEA model of high technology industry science and technology resources allocation efficiency based on the R&D stock[J]. Science of Science and Management of S&T, 2006, 27(9): 28-32.
[6] 张纯, 葛幼松. 中国高技术产业投入产出有效性地区差异分析[J]. 地理与地理信息科学, 2007, 23(3): 59-63.Zhang Chun, Ge Yousong. The regional differences of effectiveness of Chinese high technology industry input output[J]. Geography and Geo-Information Science, 2007, 23(3): 59-63.
[7] 薛娜, 赵曙东. 基于DEA的高技术产业创新效率评价——以江苏省为例[J]. 南京社会科学, 2007, 28(5): 135-141.Xue Na, Zhao Shudong. Evaluation of innovation efficiency of high tech industry based on DEA in Jiangsu province[J]. Social Sciences in Nanjing, 2007, 28(5): 135-141.
[8] 谢伟, 胡玮, 夏绍模. 中国高新技术产业研发效率及其影响因素分析[J]. 科学学与科学技术管理, 2008, 29(3): 144-149.Xie Wei, Hu Wei, Xia Shaomo. Study on R&D efficiency and its determinants of Chinese high-tech industry[J]. Science of Science and Management of S&T, 2008, 29(3): 144-149.
[9] 吴和成. 高技术产业R&D效率分析[J]. 研究与发展管理, 2008, 20(10): 83-89.Wu Hecheng. Analysis of R&D efficiency in high tech industry[J]. R&D Management, 2008, 20(10): 83-89.
[10] 官建成, 陈凯华. 我国高技术产业技术创新效率的测度[J]. 数量经济技术经济研究, 2009, 26(10): 19-33.Guan Jiancheng, Chen Kaihua. Measuring innovation performance of Chinese high-tech industries[J]. The Journal of Quantitative Technical Economics, 2009, 26(10): 19-33.
[11] 方福前, 张平. 我国高技术产业的投入产出效率分析[J]. 中国软科学, 2009, 24(7): 48-55.Fang Fuqian, Zhang Ping. Analyzing input-output efficiency of the high-tech industries based on DEA[J]. China Soft Science, 2009, 24(7): 48-55.
[12] 冯缨, 滕家佳. 江苏省高技术产业技术创新效率评价[J]. 科学学与科学技术管理, 2010, 31(8): 107-112.Feng Ying, Teng Jiajia. Evaluation on technology innovation efficiency of high-tech industry in Jiangsu province[J]. Science of Science and Management of S&T, 2010, 31(8): 107-112.
[13] 李向东, 李南, 白俊红, 等. 高技术产业研发创新效率分析[J]. 中国软科学, 2011, 26(2): 52-61.Li Xiangdong, Li Nan, Bai Junhong, et al. Study on the R&D innovation efficiency of high-tech industry in China[J]. China Soft Science, 2011, 26(2): 52-61.
[14] Guan J C, Chen K H. Measuring the innovation production process: A cross-region empirical study of China's high-tech innovations[J]. Technovation, 2010, 30(5-6): 348-358.
[15] 郑坚, 丁云龙. 高技术产业技术创新的边际收益特性及效率分析[J]. 科学学研究, 2008, 26(5): 1090-1097.Zheng Jian, Ding Yunlong. The analysis of marginal revenue characteristics and efficiency of technological innovation in high-tech industry[J]. Studies in Science of Science, 2008, 26(5): 1090-1097.
[16] 余泳泽. 我国高技术产业技术创新效率及其影响因素研究——基于价值链视角下的两阶段分析[J]. 经济科学, 2009, 31(4): 62-74.Yu Yongze. Study on the factors of technology innovation efficiency of high tech industry in China and its effect on the two stage of the value chain perspective[J]. Economic Science, 2009, 31(4): 62-74.
[17] 黄舜, 管燕. 基于过程的高技术产业技术创新效率测度[J]. 工业技术经济, 2010, 29(1): 7-8.Huang Shun, Guan Yan. Technology innovation efficiency of high tech industry measure based on process[J]. Industry Technology Economic, 2010, 29(1): 7-8.
[18] 余泳泽, 武鹏, 林建兵. 价值链视角下的我国高技术产业细分行业研发效率研究[J]. 科学学与科学技术管理, 2010, 31(5): 60-65.Yu Yongze, Wu Peng, Lin Jianbing. The R&D efficiency of China's fractionized high technology industry based on the angle of value chain[J]. Science of Science and Management of S&T, 2010, 31(5): 60-65.
[19] 黄#
[38] , 葛虹, 冯英浚. 基于链形系统的关联网络DEA模型: 以我国14家商业银行为例[J]. 系统工程理论与实践, 2009, 29(5): 106-114.Huang Yi, Ge Hong, Feng Yingjun. Relational network DEA model based on series system: Application of 14 commercial banks in China[J]. Systems Engineering——Theory & Practice, 2009, 29(5): 106-114.
[20] 冯锋, 马雷, 张雷勇. 两阶段链视角下我国科技投入产出链效率研究——基于高技术产业17个子行业数据[J]. 科学学与科学技术管理, 2011, 32(10): 21-26.Feng Feng, Ma Lei, Zhang Leiyong. Research on efficiency of China's S&T input-output in two-stage chain perspective: Based on the data from 17 sub-industries of high-tech industry[J]. Science of Science and Management of S&T, 2011, 32(10): 21-26.
[21] 肖仁桥, 钱丽, 陈忠卫. 中国高技术产业创新效率及其影响因素研究[J]. 管理科学, 2012, 25(5): 85-98.Xiao Renqiao, Qian Li, Chen Zhongwei. Research on the innovation efficiency and its affecting factors in China's high-tech industries[J]. Journal of Management Science, 2012, 25(5): 85-98.
[22] Kao C. Efficiency decomposition in network data envelopment analysis: A relational model[J]. European Journal of Operational Research, 2009, 192(3): 949-962.
[23] 程大友, 冯英浚. 基于两阶段关联DEA模型的企业效率研究——以财产保险公司为例[J]. 预测, 2008, 27(3): 55-61.Cheng Dayou, Feng Yingjun. Measuring firm efficiency based on two-stage correlative DEA: An application to property insurance companies in China[J]. Forecasting, 2008, 27(3): 55-61.
[24] Kao C, Hwang S N. Efficiency development in two-stage data envelopment analysis: An application to non-life insurance companies in Taiwan[J]. European Journal of Operational Research, 2008, 185(1): 418-429.
[25] 黄薇. 中国保险机构资金运用效率研究: 基于资源型两阶段DEA模型[J]. 经济研究, 2009, 55(8): 37.Huang Wei. Efficiency of insurance fund utilization in China's insurance companies: A resource-based two-stage DEA model[J]. Economic Research Journal, 2009, 55(8): 37.
[26] 陈伟, 冯志军, 姜贺敏, 等. 中国区域创新系统创新效率的评价研究——基于链式关联网络DEA模型的新视角[J]. 情报杂志, 2010, 30(12): 24-29.Chen Wei, Feng Zhijun, Jiang Hemin, et al. Evaluation research on the innovation efficiency of regional innovation systems of China: A new view based on chain relational network DEA model[J]. Journal of Information, 2010, 30(12): 24-29.
[27] 李邃, 江可申, 郑兵云. 基于链式关联网络的区域创新效率研究——以江苏为研究对象[J]. 科学学与科学技术管理, 2011, 32(11): 131-137.Li Sui, Jiang Keshen, Zheng Bingyun. Evaluation research on the regional innovation efficiency based on chain relational network DEA model-Evidence from Jiangsu province[J]. Science of Science and Management of S&T, 2011, 32(11): 131-137.
[28] 庞瑞芝, 李鹏. 中国工业创新: 过程、效率与模式——基于2001-2008年大中型工业企业的数据[J]. 产业经济研究, 2011, 10(2): 1-7.Pang Ruizhi, Li Peng. Chinese industrial innovation: Process, efficiency and mode——Based on the 2001-2008 data of large and medium-sized industrial enterprises[J]. Industrial Economics Research, 2011, 10(2): 1-7.
[29] Furman J L, Porter M E, Stern S. The determinants of national innovative capacity[J]. Research Policy, 2002, 31(6): 899-933.
[30] Moon H S, Lee J D. A fuzzy set theory approach to national composite S&T indices[J]. Scientometrics, 2005, 64(2): 67-83.
[31] Zabala-Iturriagagoitia J, Voigt P, Gutierrez-Gracia A, et al. Regional innovation systems: How to assess performance[J]. Regional Studies, 2007, 41(5): 661-672.
[32] Sharma S, Thomas V J. Inter-country R&D efficiency analysis: An application of data envelopment analysis[J]. Scientometrics, 2008, 76(3): 483-501.
[33] 官建成, 何颖. 科学-技术-经济的联结与创新绩效的国际比较研究[J]. 管理科学学报, 2009, 12(5): 61-77.Guan Jiancheng, He Ying. Linkage amongst science, technology and economy and international comparison of innovation performance[J]. Journal of Management Sciences in China, 2009, 12(5): 61-77.
[34] 唐清泉, 卢博科, 袁莹翔. 工业行业的资源投入与创新效率——基于中国大中型工业部门的研究[J]. 数量经济技术经济研究, 2009, 26(2): 6-7.Tang Qingquan, Lu Boke, Yuan Yingxiang. Industrial firm resources input and innovation efficiency[J]. The Journal of Quantitative & Technical Economics, 2009, 26(2): 6-7.
[35] 冯根福, 刘军虎, 徐志霖. 中国工业部门研发效率及其影响因素实证分析[J]. 中国工业经济, 2006, 24(11): 46-51.Feng Genfu, Liu Junhu, Xu Zhilin. Study on the factors on Chinese industries R&D efficiency[J]. China Industrial Economics, 2006, 24(11): 46-51.
[36] 吴延兵. 用DEA方法评测知识生产中的技术效率与技术进步[J]. 数量经济技术经济研究, 2008b, 25(7): 67-79.Wu Yanbing. Evaluating technical efficiency and technical progress of knowledge production by using DEA[J]. The Journal of Quantitative & Technical Economics, 2008b, 25(7): 67-79.

基金

国家软科学基金(2010GXS513173);高等学校博士点基金(20102304110008);广东高校优秀青年创新人才培养计划项目(2013WYM_0081);教育部人文社科青年基金(13YJC790002)
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