演化经济学视角下政府治理创新与区域智造产业协同发展研究——基于SIENA模型的实证分析
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摘要
地方政府治理体系创新给区域智造产业带来了全新的机遇与挑战。基于演化经济学理论,以珠海、深圳临港经济区先进制造产业集群为研究对象,利用173家规模以上智能制造企业2015-2017年政府治理创新前后的工业经济指标数据,运用SIENA模型,从动态演化视角对大数据监管下的政府治理创新与区域智造产业协同发展路径进行实证研究。结果表明:运用大数据监管创新政府治理对区域智造产业发展的促进效果显著,且在发展周期上表现为治理创新、工业经济发展与地方社会贡献的协同演化稳定性。据此,给出有利于政府现代治理创新与区域智造产业协同发展的政策启示。
The innovation of local government governance system has brought new opportunities and challenges to the regional "intelligent" industry.Based on the theory of evolutionary economics, taking the intelligent industrial cluster of Zhuhai, Shenzhen Port industrial zone as the research object, using the data of industrial economic index before and after the innovation of government governance in the 2015-2017 of 173 above-scale intelligent manufacturing enterprises as samples, this paper creatively uses the SIENA model to make an empirical evolution study on the cooperative development path of government governance innovation and regional "intelligent" industry under the supervision of big data from a dynamic perspective.The results show that the promotion effect of government governance using big data supervision and innovation on the development of regional "intelligent" industry is more obvious, and in the development cycle is manifested as the synergistic evolution stability of governance innovation, industrial economic development and local social contribution.Therefore, it gives the policy enlightenment which is beneficial to the government's modern governance innovation and the regional "intelligent" industry's cooperative development.
The innovation of local government governance system has brought new opportunities and challenges to the regional "intelligent" industry.Based on the theory of evolutionary economics, taking the intelligent industrial cluster of Zhuhai, Shenzhen Port industrial zone as the research object, using the data of industrial economic index before and after the innovation of government governance in the 2015-2017 of 173 above-scale intelligent manufacturing enterprises as samples, this paper creatively uses the SIENA model to make an empirical evolution study on the cooperative development path of government governance innovation and regional "intelligent" industry under the supervision of big data from a dynamic perspective.The results show that the promotion effect of government governance using big data supervision and innovation on the development of regional "intelligent" industry is more obvious, and in the development cycle is manifested as the synergistic evolution stability of governance innovation, industrial economic development and local social contribution.Therefore, it gives the policy enlightenment which is beneficial to the government's modern governance innovation and the regional "intelligent" industry's cooperative development.
引文
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[15] 吕可文,苗长虹,王静,等.协同演化与集群成长——河南禹州钧瓷产业集群的案例分析[J].地理研究,2018,37(7):1320-1333.
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[2] 罗胤晨.生命周期视角下的工业集聚及其演化研究[D].上海:华东师范大学,2016.
[3] 魏诚.智能制造的内涵、技术路径与实现[J].现代工业经济和信息化,2018(7):40-41,44.
[4] 谭建荣,刘达新,刘振宇,等.从数字制造到智能制造的关键技术途径研究[J].中国工程科学,2017,19(3):39-44.
[5] 戴祥玉.我国地方政府治理创新的主要差异与共性要素检视——基于七届“中国地方政府创新奖”获奖项目的分析[J].长白学刊,2018(6):67-72.
[6] MARSHALLA.1961,Principles of economics[M].London :Macmillan,Capital,1961.
[7] 约瑟夫·熊彼特.经济发展理论:对于利润、资本、信贷、利息和经济周期的考察[M].北京:商务印书馆,2009.
[8] 孟祥宁,张林.多重异质性与经济演化关系的系统化研究[J].南方经济,2018(3).
[9] SILVERBERG G,LEHNERT D.Long waves and 'evolutionary chaos' in a simple schumpeterian model of embodied technical change[J].Structural Change & Economic Dynamics,1993,4(1):9-37.
[10] COHEN W M,MALERBA F.Is the tendency to variation a chief cause of progress[J].Industrial & Corporate Change,2001,10(3):587-608.
[11] 李琳,张宇.地方社会贡献率与认知邻近下企业产业发展水平伙伴选择的影响机制——基于SIENA模型的实证研究[J].工业技术经济,2015,34(4):27-35.
[12] 陈道江,周红.演化经济理论的渊源与发展[J].商业研究,2003(24):21-24.
[13] 王俊,王树春.“技术-制度”互动视阈下中国经济转型的特殊性——一个演化经济学的分析框架[J].贵州社会科学,2018(4):117-125.
[14] 道格拉斯·C,诺思,杭行.制度、制度变迁与经济绩效[J].2008(22):136-136.
[15] 吕可文,苗长虹,王静,等.协同演化与集群成长——河南禹州钧瓷产业集群的案例分析[J].地理研究,2018,37(7):1320-1333.
[16] SNIJDERS T A B.Actor-based models for network dynamics[J].Social Networks,2010,32(1):44-60.
[17] RIPLEY R,SNIJDERS T,PRECIADO P.Manual for RSIENA[J].2013,15(2):95-119.
[18] LOSPINOSO J A,SCHWEINBERGER M,SNIJDERS T A,et al.Assessing and accounting for time heterogeneity in stochastic actor oriented models.[J].Advances in Data Analysis & Classification,2011,5(2):147-176.
[19] 林洲钰,林汉川,邓兴华.什么决定国家标准制定的话语权:技术创新还是政治关系[J].世界经济,2014(12):140-161.