数字经济支持政策工具的量化评价——基于省际层面政策的文本分析

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Abstract With the help of relevant policy design,digital economy has gradually become the new direction,new driving force and key driving force of industry transformation and economic development.In this paper,we use Rostcm6.0 software to mine the policy samples,and construct the PMC index model,combined with the PMC surface,the regional attribute of our country's digital economy policy is analyzed.It is found that the digital economy policy plays an important role in promoting the development of digital economy and the integration of digital economy and real economy.Of the 62 policy samples from 31 regions,87.1% of provinces have“Excellent”and“Perfect”digital economy policies,among which 25 regions are classified as“Excellent”and 4 regions are classified as“Perfect”.The remaining 12.9% is“Acceptable”.This means that the digital economic policy in most areas of our country is at a relatively established level,no matter from the aspects of policy nature,policy objective,policy content or policy effect.In the future,the policy design of regional digital economy should not only stimulate the spillover and network of digital economy,but also take into account the resource endowment and technology development characteristics of different regions to optimize the policy system dynamically.

Key words： Digital economic PMC Index model Quantitative analysis

Received: 18 June 2021

PACS:

F019.6

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	Articles by authors
	Wang Weiguang
	Song Hongling

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Wang Weiguang,Song Hongling. Quantitative Evaluation of Policy Tools for Digital Economy Support:Text Analysis Based on Inter-Provincial Level Policy[J]. , 2023, 4(6): 97-107.

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http://www.zgkjlt.org.cn/EN/ OR http://www.zgkjlt.org.cn/EN/Y2023/V4/I6/97

[1]刘淑春.中国数字经济高质量发展的靶向路径与政策供给[J].经济学家,2019(6):52-61.
[2]WAN G H.Inequality and growth in modern china[M].Oxford:Oxford University Press,2008.
[3]郭家堂,骆品亮.互联网对中国全要素生产率有促进作用吗[J]管理世界,2016(10):34-49.
[4]裴长洪,倪江飞,李越.数字经济的政治经济学分析[J].财贸经济,2018(9):5-22.
[5]荆文君,孙宝文.数字经济促进经济高质量发展:一个理论分析框架[J].经济学家,2019(2):66-73.
[6]柏培文,喻理.数字经济发展与企业价格加成:理论机制与经验事实[J].中国工业经济,2021(11):59-77.
[7]EISENMAN N,PARKER G G,VAN A M.Strategies for two-sided markets[J].Harvard business review,2006,84(10):92-101.
[8]王佑镁,宛平,柳晨晨.培养负责任的数字公民——国际数字公民教育政策文本的多维比较[J].比较教育研究,2021,43(3):8-14,23.
[9]赵瑾.数字贸易壁垒与数字化转型的政策走势:基于欧洲和OECD数字贸易限制指数的分析[J].国际贸易,2021(2):72-81.
[10]樊轶侠.数字经济下的城乡融合发展财政政策取向研究[J].人民论坛·学术前沿,2021(2):52-58.
[11]VEDUNG E.Public policy and program evaluation[M].London:Transaction Publishers,1997.
[12]FLYNN B.Environmental policy in the EU:actors,institutions and processes[J].Environmental politics,2013,22(4):1044-1045.
[13]PATTON M Q.Theevaluator's responsibility for utilization[J].Evaluation practice,1988,9(2):5-24.
[14]SANDERSON I.Evaluation,policy learning and evidence-based policy making[J].Public admin,2002,80(1):1-22.
[15]HILDEN M.The evolution of climate policies-the role of learning and evaluations[J].Journal of cleaner production,2011,19(16):1798-1811.
[16]黄萃,苏竣,施丽萍,等.政策工具视角的中国风能政策文本量化研究[J].科学学研究,2011,29(6):876-882,889.
[17]杨东亮,王皓然.东北振兴政策效果的再评价:基于灯光数据和PSM-DID模型的分析[J].商业研究,2021(5):35-44.
[18]孙锐,孙雨洁.我国地方创新创业人才引进政策量化研究[J].科学学与科学技术管理,2021,42(6):29-44.
[19]童玉芬,阳圆,张欣欣.我国特大城市人口调控政策的量化研究——以北京市为例[J].人口与经济,2021(1):25-36.
[20]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.
[21]王霆,刘玉.农民工就业政策量化评价[J].华南农业大学学报(社会科学版),2021,20(1):71-83.
[22]潘子纯,马林燕,朱玉春.基于特征分析的中国河长制政策量化评价[J/OL].软科学:1-16[2022-11-17].http://kns.cnki.net/kcms/detail/51.1268.g3.20220804.1306.010.html.
[23]宋大成,焦凤枝,范升.我国科学数据开放共享政策量化评价:基于PMC指数模型的分析[J].情报杂志,2021,40(8):119-126.
[24]卜令通,许亚楠,张嘉伟,等.2015—2020年中国众创空间政策量化评价[J].中国科技论坛,2021(7):46-56.
[25]刘国佳,韩玮,陈安.基于三维分析框架的突发公共卫生事件应对政策量化研究——以新冠肺炎疫情为例[J].现代情报,2021,41(7):13-26,48.
[26]吴卫红,盛丽莹,唐方成,等.基于特征分析的制造业创新政策量化评价[J].科学学研究,2020,38(12):2246-2257.
[27]RUIZ E M A.Policy modeling:definition,classification and evaluation[J].Policy model,2011,33:523-536.
[28]张永安,郄海拓.“大众创业、万众创新”政策量化评价研究——以2017的10项双创政策情报为例[J].情报杂志,2018,37(3):158-164,186.
[29]何江,闫淑敏,谭智丹,等.“人才争夺战”政策文本计量与效能评价——一个企业使用政策的视角[J].科学学与科学技术管理,2020,41(12):52-70.
[30]张永安,耿喆.我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.
[31]杜宝贵,陈磊.基于PMC指数模型的科技服务业政策量化评价:辽宁及相关省市比较[J].科技进步与对策,2022,39(1):132-140.
[32]胡峰,温志强,沈瑾秋,等.情报过程视角下大数据政策量化评价——以11项国家级大数据政策为例[J].中国科技论坛,2020(4):30-41,73.
[33]朱震,卢春天.“十三五”以来我国单项碳减排政策量化评价与优化研究[J/OL].软科学:1-14[2022-11-17].http://kns.cnki.net/kcms/detail/51.1268.G3.20220306.1749.002.html.