| 基于环境因素对中国软件产业集群效率的地区差异研究 |
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| 引用本文： | 廖名岩,曹兴,屈静晓.基于环境因素对中国软件产业集群效率的地区差异研究[J].科研管理,2018,39(4):74-82. |
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| 作者姓名： | 廖名岩 曹兴 屈静晓 |
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| 作者单位： | 1中南大学 商学院，湖南 长沙410083;
2湖南第一师范学院，湖南 长沙410205;
3湖南农业大学 商学院，湖南 长沙410128 |
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| 基金项目： | 国家自然科学基金项目“新兴技术“多核心”创新网络形成及企业成长机制研究”(71371071，2014.01-2017.12)；国家自然科学基金项目“新兴技术创新网络液态化及其跨界创新研究”（71771083，2018.01-2021.12）；湖南省哲学社会科学基金项目“湖南省战略性新兴产业技术赶超方式与路径研究”(16YBA088，2016.09-2018.12)。 |
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| 摘 要： | 摘要：将四阶段DEA模型引入到软件产业集群效率的研究框架中，以2013年中国国家级35个软件产业园的数据为样本，测算了软件产业集群的技术效率、制度效率和规模效率。研究发现：外生环境因素对软件产业集群效率具有促进作用，这导致中国软件产业集群效率存在被高估的现象；控制考虑环境因素影响后，绝大多数软件园的技术效率均有所下降（32个，91.43%）；对调整后的技术效率进行分解发现，大多数软件园（23个，65.17%）的技术效率无效源于纯技术无效，这进一步说明，代表着决策与管理水平的制度效率不高是制约中国软件产业集群效率提升的主要因素。东部软件园应该以合理安排资源配置、加强制度创新、技术创新、研发创新等科学化等措施为软件园建设的侧重点。中西部软件园应该加大规模投入力度，充分吸收东部投入要素的冗余。
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| 关 键 词： | 四阶段DEA模型 产业集群 效率 环境 |
| 收稿时间： | 2016-11-16 |
| 修稿时间： | 2017-11-21 |
A study of regional difference of environmental factors for software industry cluster efficiency |
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| Liao Mingyan,Cao Xing,Qu Jingxiao.A study of regional difference of environmental factors for software industry cluster efficiency[J].Science Research Management,2018,39(4):74-82. |
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| Authors: | Liao Mingyan Cao Xing Qu Jingxiao |
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| Institution: | 1. Business School, Central South University, Changsha 410083, Hunan, China; ;
2. Hunan First Normal University, Changsha 410205, Hunan, China; ;
3. College of Business, Hunan Agricultural University, Changsha 410128, Hunan, China |
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| Abstract: | Abstract: the four stage DEA model is introduced into the research framework, the efficiency of software industry cluster to 35 in 2013, the China national software industrial park of data as sample, estimates the technical efficiency of the software industry cluster, the system efficiency and scale efficiency. Study found: exogenous environment factors on the efficiency of software industry cluster has a promoting effect, resulting in China's software industry cluster efficiency is overrated phenomenon; After control considering environmental factors, most of the dalian software technical efficiency are decreased (32, 91.43%); Decomposition of technical efficiency of adjusted, found that most software park (23. 65.17%) technology is invalid from the pure technical efficiency is invalid, it further suggests that represents the decision and management level of the system efficiency is not high is the main factor of restricting China's software industry cluster efficiency. East software park should be arranged with reasonable allocation of resources, strengthen the innovation of system innovation, technological innovation, research and development emphasis of the scientific measures for software park construction. Midwest software park should enlarge investment scale, fully absorb the redundant inputs as eastern. |
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| Keywords: | four-stage DEA model industrial cluster efficiency environment |
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