基于扎根理论和文本挖掘的广东省科技金融政策共词网络研究
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摘要
基于已有共词网络研究基础,分析广东省科技金融政策体系的结构特征。选取2006—2018年4月出台的222份广东省科技金融政策文本作为研究对象,综合运用扎根理论、文本挖掘的方法对政策文本进行词频分析、语义网络分析和中心性分析,并结合广东省"一二三多"的科技金融运行模式做进一步验证。研究发现,广东省科技金融政策存在结构不合理、行业监管和退出机制的政策文本缺乏、专用性政策较少等问题。最后,提出积极调整政策结构、加快制定出台行业监管和退出机制的相关政策、完善"通用政策+专用政策"的多维度政策族群的相关建议,为后续广东省甚至全国的科技金融政策体系的完善提供参考。
Based on research of existing common word network, this paper analyzes the structural characteristics of Guangdong's science and technology financial policy system. Selecting 222 copies of Guangdong's science and technology financial policy texts issued in April 2006-2018 as the research object, using the rooted theory and text mining method, the word frequency analysis, semantic network analysis and central analysis of the policy text,and combined with the Guangdong Province "123 more" science and technology finance operation model to do further verification. The study finds that Guangdong's science and technology financial policies have problems such as unreasonable structure, lack of policy texts for industry supervision and exit mechanisms, and less specific policies.Finally, the paper puts forward some suggestions on adjusting the policy structure actively, speeding up the formulation of relevant policies to introduce the industry supervision and exit mechanism, and perfecting the multi-dimensional policy groups of "general policy+ specific policy" for perfecting the policy system of science and technology finance in the future of Guangdong province even the national to provide reference.
Based on research of existing common word network, this paper analyzes the structural characteristics of Guangdong's science and technology financial policy system. Selecting 222 copies of Guangdong's science and technology financial policy texts issued in April 2006-2018 as the research object, using the rooted theory and text mining method, the word frequency analysis, semantic network analysis and central analysis of the policy text,and combined with the Guangdong Province "123 more" science and technology finance operation model to do further verification. The study finds that Guangdong's science and technology financial policies have problems such as unreasonable structure, lack of policy texts for industry supervision and exit mechanisms, and less specific policies.Finally, the paper puts forward some suggestions on adjusting the policy structure actively, speeding up the formulation of relevant policies to introduce the industry supervision and exit mechanism, and perfecting the multi-dimensional policy groups of "general policy+ specific policy" for perfecting the policy system of science and technology finance in the future of Guangdong province even the national to provide reference.
引文
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[11]张永安,闫瑾.基于文本挖掘的科技成果转化政策内部结构关系与宏观布局研究[J].情报杂志,2016,35(2):44-49.
[12]李尚昊,朝乐门.文本挖掘在中文信息分析中的应用研究述评[J].情报科学, 2016, 34(8):153-159.
[13]谌志群,张国煊.文本挖掘与中文文本挖掘模型研究[J].情报科学,2007, 25(7):1046-1051.
[14]GOULDING C. Grounded theory:a practical guide for management,business and market researchers[M].Thousand Oaks:Sage Publications, Inc., 2002:347-378.
[2]饶彩霞,唐五湘,周飞跃.我国科技金融政策的分析与体系构建[J].科技管理研究,2013(20):31-35.
[3]苑泽明,郭景先,侯雪莹.我国科技金融政策评价研究:构建理论分析框架[J].科技管理研究,2015(15):69-75.
[4]曲昭,丁堃,张春博.基于文献计量视角的科技金融政策研究[J].科技进步与对策, 2015(13):123-128.
[5]唐五湘,饶彩霞,程桂枝.北京市科技金融政策文本量化分析[J].科技进步与对策,2013, 30(18):56-61.
[6]KATSURAI M.Bursty research topic detection from scholarly data using dynamic co-word networks:a preliminary investigation[C].Piscataway:IEEE,2017:115-119.
[7]苏敬勤,许昕傲,李晓昂.基于共词分析的我国技术创新政策结构关系研究[J].科技进步与对策,2013,30(9):110-115.
[8]GLASER B G, HOLTON J. Remodeling grounded theory[J].Historical Social Research, 2007,4(19):47-68.
[9]杜根旺,汪涛.中国创新政策的演进:基于扎根理论[J].技术经济,2015,34(7):1-4.
[10]陈慧茹,肖相泽,冯锋.科技创新政策加权共词网络研究:基于扎根理论与政策测量[J].科学学研究,2016,34(12):1769-1776.
[11]张永安,闫瑾.基于文本挖掘的科技成果转化政策内部结构关系与宏观布局研究[J].情报杂志,2016,35(2):44-49.
[12]李尚昊,朝乐门.文本挖掘在中文信息分析中的应用研究述评[J].情报科学, 2016, 34(8):153-159.
[13]谌志群,张国煊.文本挖掘与中文文本挖掘模型研究[J].情报科学,2007, 25(7):1046-1051.
[14]GOULDING C. Grounded theory:a practical guide for management,business and market researchers[M].Thousand Oaks:Sage Publications, Inc., 2002:347-378.