基于机器学习的我国城市“双创”水平的评价研究
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摘要
[目的 /意义]依托科技创新相关开放数据,针对全国城市"双创"水平建立评价体系与指数。[方法/过程]运用机器学习算法建立国内城市的"双创"排名,并通过各项指标和城市集聚特征分析城市"双创"能力优劣。[结果 /结论 ]我国城市的"双创"水平与经济资源、人才储备、政策环境等有着密切的联系。北京市持续领跑中国"双创"发展,各区域中心城市紧随其后发展,各有优势,发展差距小。各城市的不足与短板也十分清晰,如何针对各自的不足做出合理的应对措施,扬长补短,是持续发展城市创新力的根本。
[Purpose/significance] Based on the open data related to scientific and technological innovation, this paper establishes the evaluation system and index for public entrepreneurship and innovation of the cities in China. [Method/process] By the machine learning algorithm, this paper established the Double-Innovation rank of domestic cities, and analyzed the Double-Innovation ability of the cities through various indicators and urban agglomeration characteristics. [Result/conclusion] The results show that the level of DoubleInnovation in our country is closely related to economic resources, talent pool and policy environment. Beijing continues to lead Chinese dual-development, and the regional central cities are closely following it, these cities have their own advantages, and the development gap among them is small. The shortcomings of each city are also very clear. How to make reasonable countermeasures against their respective shortcomings, make up for the weaknesses, is the basis for the continuous development of urban innovation.
[Purpose/significance] Based on the open data related to scientific and technological innovation, this paper establishes the evaluation system and index for public entrepreneurship and innovation of the cities in China. [Method/process] By the machine learning algorithm, this paper established the Double-Innovation rank of domestic cities, and analyzed the Double-Innovation ability of the cities through various indicators and urban agglomeration characteristics. [Result/conclusion] The results show that the level of DoubleInnovation in our country is closely related to economic resources, talent pool and policy environment. Beijing continues to lead Chinese dual-development, and the regional central cities are closely following it, these cities have their own advantages, and the development gap among them is small. The shortcomings of each city are also very clear. How to make reasonable countermeasures against their respective shortcomings, make up for the weaknesses, is the basis for the continuous development of urban innovation.
引文
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[15]何舜辉,杜德斌,焦美琪,等.中国地级以上城市创新能力的时空格局演变及影响因素分析[J].地理科学,2017,37(7):1014-1022.
[2]A C S Z J,S Z E R B L,A U T I O E.T h e g l o b a l entrepreneurship and development index[J].Regional studies,2015,49(12):1977-1994..
[3]FAIRLIE R W.Kauffman index of entrepreneurial activity by veteran status 1996-2011[J].Ssrn electronic journal,2012(21):28.
[4]CHEN X,LIU Z,MA C.Chinese innovation-driving factors:regional structure,innovation effect,and economic development-empirical research based on panel data[J].The annals of regional science,2017,59(1):43-68.
[5]胡平.“大众创业,万众创新”评价体系与评价方法探讨[J].科学与管理,2017,37(5):14-21.
[6]周立,吴玉鸣.中国区域创新能力:因素分析与聚类研究--兼论区域创新能力综合评价的因素分析替代方法[J].中国软科学,2006(8):96-103.
[7]何健文.广东区域创新能力分析报告--基于《中国区域创新能力报告2015》[J].广东科技,2017,26(2):47-52.
[8]白嘉.中国区域技术创新能力的评价与比较[J].科学管理研究,2012,30(1):15-18.
[9]中国科技发展战略研究小组.2003中国区域创新能力报告[M].北京:经济管理出版社,2004.
[10]中华人民共和国国家统计局[EB/OL].[2018-01-25].http://www.stats.gov.cn/.
[11]中国经济与社会发展统计数据库[EB/OL].[2018-01-27].http://tongji.cnki.net/kns55/index.aspx.
[12]中华人民共和国教育局[EB/OL].[2018-01-27].http://www.moe.gov.cn/.
[13]国信宏数[EB/OL].[2018-01-27].http://www.ndrcbd.org/.
[14]臧鸣.双创促升级壮大新动能|上海已有7家全国双创示范基地[EB/OL].[2018-01-20].http://www.thepaper.cn/newsDetail_forward_1794996.
[15]何舜辉,杜德斌,焦美琪,等.中国地级以上城市创新能力的时空格局演变及影响因素分析[J].地理科学,2017,37(7):1014-1022.