|
|
|
| Quantitative Evaluation of China's Mass Innovation Policy from 2015 to 2020 |
| Bu Lingtong1, Xu Yanan2, Zhang Jiawei1, Zhu Yijie1 |
1. School of Business,Nanjing University,Nanjing 210093,China;
2. School of Management Science and Engineering,Chongqing Technology and Business University,Chongqing 400067,China |
|
|
|
|
Abstract Based on the 76 mass innovation space policies issued by the State Council,Ministries and commissions,provinces and cities from 2015 to 2020,the development context and existing problems of mass innovation space policy in China are clarified through policy sample analysis.Then we use the text mining method to extract the frequency of key words,add the progressive and exclusive effectiveness level index into the first level variable,and construct the PMC index model combined with the policy content to quantitatively evaluate and compare the two national level and four local level mass innovation space policies.The results are as follows.The evaluation level of P1 is perfect and PMC index of P2 is 4.25,there is a large room for improvement.The PMC index score of the eastern region is significantly higher than that of the western region,in addition to the impact of the differences in resource conditions,there are deficiencies and improvements in the policies of the western region.
|
|
Received: 19 October 2020
|
|
|
|
|
|
[1]李名梁.职业院校发展众创空间的着力点[J].当代职业教育,2016 (4):1-2.
[2]李燕萍,陈武,李正海.驱动中国创新发展的创客与众创空间培育:理论与实践——2016年首届 “创新发展·创客·众创空间”论坛评述[J].科技进步与对策,2016,33 (20):154-160.
[3]科技部.科技部关于印发 《发展众创空间工作指引》的通知[Z].2015.
[4]HAN S Y,YOO J,ZO H,et al.Understanding makerspace continuance:a self-determination perspective[J].Telematics and informatics,2017,34 (4):184-195.
[5]李燕萍,陈武.中国众创空间研究现状与展望[J].中国科技论坛,2017 (5):12-18.
[6]谢明.公共政策导论[M].北京:中国人民大学出版社,2015.
[7]张永安,郄海拓.国务院创新政策量化评价——基于PMC指数模型[J].科技进步与对策,2017,34 (17):127-136.
[8]李志军.完善重大政策评估制度[N].学习时报,2021-01-11 (1).
[9]吴杰,战炤磊,周海生. “众创空间”的理论解读与对策思考[J].科技创业月刊,2017,30 (1):46-49+53.
[10]陈夙,项丽瑶,俞荣建.众创空间创业生态系统:特征、结构、机制与策略——以杭州梦想小镇为例[J].商业经济与管理,2015 (11):35-43.
[11]王节祥,田丰,盛亚.众创空间平台定位及其发展策略演进逻辑研究——以阿里百川为例[J].科技进步与对策,2016,33 (11):1-6.
[12]吴爱萍,董明,李华. “互联网+”与 “大众创业、万众创新”政策结构分析——基于扎根理论和共词分析法[J].科技管理研究,2018,38 (10):44-52.
[13]范海霞.各地众创空间发展政策比较及启示[J].杭州科技,2015 (3):53-57.
[14]郝君超,张瑜.国内外众创空间现状及模式分析[J].科技管理研究,2016,36 (18):21-24.
[15]张永安,耿喆.中国区域科技创新政策的量化评价——基于PMC指数模型[J].科技管理研究,2015,35 (14):26-31.
[16]高峰.基于政策指数的科技政策实证研究[J].科技进步与对策,2013,30 (19):105-108.
[17]雷良海,贾天明.上海市众创空间扶持政策研究[J].上海经济研究,2017 (3):32-39.
[18]臧维,李甜甜,徐磊.北京市众创空间扶持政策工具挖掘及量化评价研究[J].软科学,2018,32 (9):56-61.
[19]陈章旺,柯玉珍,孙湘湘.中国众创空间产业政策评价与改进策略[J].科技管理研究,2018,38 (6):18-24.
[20]RUIZ ESTRADA M A,YAP S F,NAGARAJ S.Beyond the ceteris paribus assumption:modeling demand and supply assuming omnia mobilis[J].International journal of economics research,2008 (2):185-194.
[21]郝君超,张瑜.国内外众创空间现状及模式分析[J].科技管理研究,2016,36 (18):21-24.
[22]赵作权.西部如何不再遥远:加快中国经济重心西移进程[J].西部论坛,2019,29 (1):64-70.
[23]RUIZ ESTRADA M A.Policy modeling:definition,classification and evaluation[J].Journal of policy modeling,2011,33 (4):523-536.
[24]李晨光,张永安.区域创新政策对企业创新效率影响的实证研究[J].科研管理,2014,35 (9):25-35.
[25]张永安,郄海拓,颜斌斌.基于两阶段DEA模型的区域创新投入产出评价及科技创新政策绩效提升路径研究——基于科技创新政策情报的分析[J].情报杂志,2018,37 (1):198-207.
[26]董纪昌,袁铨,尹利君,等.基于PMC指数模型的单项房地产政策量化评价研究——以我国 “十三五”以来住房租赁政策为例[J].管理评论,2020,32 (5):3-13+75.
[27]刘汉屏.论积极财政政策时效[J].财政研究,2002 (1):31-34.
[28]吴瑞君,朱宝树.中国人口的非均衡分布与 “胡焕庸线”的稳定性[J].中国人口科学,2016 (1):14-24+126.
[29]吴少微,杨忠.中国情境下的政策执行问题研究[J].管理世界,2017 (2):85-96. |
|
|
|
2021, Vol. 2 
