| 浙江省“双创”发展水平的综合评价及其影响因素分析 |
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| 引用本文： | 徐建军,杨晓伟.浙江省“双创”发展水平的综合评价及其影响因素分析[J].科技管理研究,2022,42(9):70-75. |
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| 作者姓名： | 徐建军 杨晓伟 |
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| 作者单位： | 宁波大学科学技术学院,浙江宁波 315300,宁波城市职业技术学院商学院,浙江宁波 315100 |
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| 基金项目： | 国家自然科学基金项目“要素市场扭曲对中国产业结构动态调整的影响及政策取向”(71773057);浙江省科技厅软科学研究计划项目“浙江省创业投资引导基金绩效提升策略研究：基于投资网络的位置与能力视角” (2021C35G2071097);宁波市社会科学研究基地课题“浙江大湾区“双创”能力的综合评价及其时空演化特征分析”(JD5-ZD17) |
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| 摘 要： | 采用嫁接的层次分析法-决策试验与评价实验室方法（AHP-DEMATEL）对浙江省的“双创”发展水平进行综合评价与比较,并采用面板回归方法就其影响因素进行实证分析,研究结果表明,（1）2010—2019年,浙江省整体的“双创”发展水平在不断提升,并且浙江省内各地区的“双创”发展水平呈上升之势。其中,杭州的“双创”综合指数最高,宁波的“双创”综合指数居全省第2位,而舟山的“双创”综合指数最低;浙江大湾区内的“双创”水平要高于全省平均水平,同时也高于浙江大湾区外的平均水平。（2）信贷规模、工资水平、互联网发展水平以及道路基础设施等因素均有利于浙江省“双创”发展水平的提高。相较而言,信贷规模和互联网发展水平更加有利于浙江大湾区内的“双创”发展,工资水平和道路基础设施则更有利于浙江大湾区外的“双创”发展。
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| 关 键 词： | “双创” 浙江省 “双创”发展水平评价 层次分析法 决策试验与评价实验室方法 |
| 收稿时间： | 2021/10/30 0:00:00 |
| 修稿时间： | 2021/11/15 0:00:00 |
Comprehensive Evaluation of the Development Level of |
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| Xu Jianjun,Yang Xiaowei.Comprehensive Evaluation of the Development Level of[J].Science and Technology Management Research,2022,42(9):70-75. |
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| Authors: | Xu Jianjun Yang Xiaowei |
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| Abstract: | This paper first adopts hybrid decision making trial and evaluation laboratory (DEMATEL)-analytical hierarchy process (AHP) and panel regression method to comprehensively evaluate and compare the development level of "mass entrepreneurship and innovation" (MEI) in Zhejiang province and then uses the panel regression method to conduct an empirical analysis of its influencing factors. It further explains the reason for its characteristics. The results show that: (1) during the sample period, the overall development of MEI in Zhejiang province is constantly improving, and the comprehensive evaluation index of MEI in 11 regiond have all increased. Among them, Hangzhou has the highest MEI index, Ningbo comes second, Zhoushan has the lowest MEI index. The MEI index in the Greater Bay Area of Zhejiang is higher than that of MEI index in Zhejiang province, and also higher than the average level of MEI outside the Greater Bay Area of Zhejiang province. (2) It is confirmed that factors such as credit level, salarySincome, the Internet development, as well as factors such as road infrastructure, are beneficial to the MEI development in Zhejiang province. In comparison, the credit level and Internet development are more conducive to the MEI development in the Greater Bay Area of Zhejiang, while the salarySincome and road infrastructure level are more conducive to MEI development outside of the Greater Bay Area of Zhejiang province. |
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| Keywords: | Mass entrepreneurship and innovation (MEI) comprehensive evaluation Dematel-AHP panel regression |
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