基于效能评价的创新型产业集群成长模式研究
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摘要
创新型产业集群发展是推动区域创新的重要途径,集群效能影响区域产业转型升级路径。通过三阶段DEA测度创新型产业集群效率,运用基于突变级数法的三力模型评价创新型产业集群效率。结果表明,传统DEA模型凸显创新型产业集群性,三阶段DEA更侧重于创新型产业集群创新性,集群效率存在空间分异,南部沿海地区各项效率值较高。创新型产业集群自主创新力与国际竞争力同步发展,但因各创新型产业集群行业异质性,效益贡献力与同步发展的其它两力非均衡异化。创新型产业集群效能由沿海到内陆层级递减,效能模式呈现强能强效、强能弱效、弱能强效、弱能弱效4类。
This paper uses the three-stage DEA to measure efficiency of innovative industrial clusters, and the three-force model based on catastrophe progression method is used to evaluate the ability of innovative industrial clusters. The results show that traditional DEA model highlights the cluster of innovative industries, while three-stage DEA focuses more on the innovation of innovative industrial clusters. Efficiency of clusters is spatially differentiation, and the values of efficiency of southern coastal areas are higher. Ability of independent innovation of innovative industrial clusters is developing in parallel with international competitiveness, however, due to the heterogeneity of innovative industrial clusters, contribution of benefits and the other two forces of simultaneous development are unbalanced abnormal. Effectiveness of innovative industrial clusters is declining from the coastal to the inland, effectiveness models are in four types: strong force with strong effect,strong force with week effect,weak force with strong effect,weak force with weak effect.
This paper uses the three-stage DEA to measure efficiency of innovative industrial clusters, and the three-force model based on catastrophe progression method is used to evaluate the ability of innovative industrial clusters. The results show that traditional DEA model highlights the cluster of innovative industries, while three-stage DEA focuses more on the innovation of innovative industrial clusters. Efficiency of clusters is spatially differentiation, and the values of efficiency of southern coastal areas are higher. Ability of independent innovation of innovative industrial clusters is developing in parallel with international competitiveness, however, due to the heterogeneity of innovative industrial clusters, contribution of benefits and the other two forces of simultaneous development are unbalanced abnormal. Effectiveness of innovative industrial clusters is declining from the coastal to the inland, effectiveness models are in four types: strong force with strong effect,strong force with week effect,weak force with strong effect,weak force with weak effect.
引文
[1] 科技部火炬中心.创新型产业集群建设工程实施方案[Z].国科火字[2011]153号,2011.
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[3] 沈小平,李传福.创新型产业集群形成的影响因素与作用机制[J].科技管理研究,2014,34(14):144-148.
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[5] 李进兵.集群内部文化生态变迁与我国创新型产业集群发展[J].科技进步与对策,2016,33(5):73-77.
[6] 唐勇,周霞,张骁.基于DEA-SBM/Malmquist的广东省创新型产业集群的创新效率研究[J].工业工程,2015,18(2):100-107.
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[11] 刘伟.中国高新技术产业研发创新效率测算——基于三阶段DEA模型[J].数理统计与管理,2015,34(1):17-28.
[12] 白俊红,蒋伏心.考虑环境因素的区域创新效率研究——基于三阶段DEA方法[J].财贸经济,2011(10):104-112+136.
[13] 张玉喜,张倩.基于突变级数法和动态模型的区域企业柔性评价[J].科学学与科学技术管理,2017,38(12):97-108.
[14] 文畅平,肖宏彬,曾娟娟.基于突变级数法的滑坡稳定性评价[J].自然灾害学报,2015,24(2):68-73.
[15] 陈晓红,彭佳,吴小瑾.基于突变级数法的中小企业成长性评价模型研究[J].财经研究,2004(11):5-15.
[16] 李柏洲,苏屹.基于改进突变级数的区域科技创新能力评价研究[J].中国软科学,2012(6):90-101.
[17] 胡树华,兰飞.产业评价的“三力”模型分析[J].工业技术经济,2009,28(4):73-74.
[18] 胡树华,解佳龙.基于“三力模型”的国家高新区非均衡异化评价研究[J].中国科技论坛,2011(7):80-86.
[19] 罗登跃.三阶段DEA模型管理无效率估计注记[J].统计研究,2012,29(4):104-107.
[2] 李佐军.创新型产业集群事关经济后续动力[J].中国制造业信息化,2009,38(2):53-56.
[3] 沈小平,李传福.创新型产业集群形成的影响因素与作用机制[J].科技管理研究,2014,34(14):144-148.
[4] 孙智慧,孙静,王伟.创新型产业集群发展绩效提升研究[J].东北大学学报:社会科学版,2014,16(4):366-370+376.
[5] 李进兵.集群内部文化生态变迁与我国创新型产业集群发展[J].科技进步与对策,2016,33(5):73-77.
[6] 唐勇,周霞,张骁.基于DEA-SBM/Malmquist的广东省创新型产业集群的创新效率研究[J].工业工程,2015,18(2):100-107.
[7] COELLI T,D S PRASADA RAO,G E BATTESE.An introduction to efficiency and productivity analysis[M].Boston:Kluwer Academic Publishers,1998.
[8] KAO C,HWANG S N.Efficiency decomposition 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.
[9] FRIED H O,LOVELL C A K,SCHMIDIT S S,et al.Accounting for environment effects and statistical nosie in data envelopment analysis[J].Journal of Productivity Analysis,2002,17(1):157-174.
[10] 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].管理评论,2016,28(1):42-52+155.
[11] 刘伟.中国高新技术产业研发创新效率测算——基于三阶段DEA模型[J].数理统计与管理,2015,34(1):17-28.
[12] 白俊红,蒋伏心.考虑环境因素的区域创新效率研究——基于三阶段DEA方法[J].财贸经济,2011(10):104-112+136.
[13] 张玉喜,张倩.基于突变级数法和动态模型的区域企业柔性评价[J].科学学与科学技术管理,2017,38(12):97-108.
[14] 文畅平,肖宏彬,曾娟娟.基于突变级数法的滑坡稳定性评价[J].自然灾害学报,2015,24(2):68-73.
[15] 陈晓红,彭佳,吴小瑾.基于突变级数法的中小企业成长性评价模型研究[J].财经研究,2004(11):5-15.
[16] 李柏洲,苏屹.基于改进突变级数的区域科技创新能力评价研究[J].中国软科学,2012(6):90-101.
[17] 胡树华,兰飞.产业评价的“三力”模型分析[J].工业技术经济,2009,28(4):73-74.
[18] 胡树华,解佳龙.基于“三力模型”的国家高新区非均衡异化评价研究[J].中国科技论坛,2011(7):80-86.
[19] 罗登跃.三阶段DEA模型管理无效率估计注记[J].统计研究,2012,29(4):104-107.