宁波市创业投资发展研究
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  • 英文篇名:Venture Capital Development of Ningbo City
  • 作者:马翔 ; 黎贤强
  • 英文作者:MA Xiang;LI Xianqiang;Zhejiang University Ningbo Institute of Technology;Zhejiang Financial College;
  • 关键词:创业投资 ; 政府创业投资 ; 不变弹性效用函数 ; 创新驱动战略 ; 技术创新 ; 高新技术产业
  • 英文关键词:venture capital;;government venture capital;;CES utility function;;innovation-driven strategy;;technological innovation;;high-tech industry
  • 中文刊名:JJDL
  • 英文刊名:Economic Geography
  • 机构:浙江大学宁波理工学院;浙江金融职业学院;
  • 出版日期:2019-07-26
  • 出版单位:经济地理
  • 年:2019
  • 期:v.39;No.257
  • 基金:浙江省哲学社会科学重点研究基地(浙江省区域经济开放与发展研究中心)项目(16JDGH083)
  • 语种:中文;
  • 页:JJDL201907018
  • 页数:7
  • CN:07
  • ISSN:43-1126/K
  • 分类号:160-166
摘要
在供给侧结构性改革、实施创新驱动战略和推进大众创业万众创新的背景下,创业投资与技术创新的高效结合,是实现区域经济转型以及形成经济增长新动能的重要抓手。文章以宁波为例,在回顾国内外相关文献的基础上,系统归纳宁波市创业投资发展历程、发展特征与发展趋势,描述性统计分析宁波市创业投资发展规模、投资流向与投资效果。在Christian Schr?der创业投资供求模型基础上采用不变弹性效用函数(CES)拓展研究创业投资发展理论影响因素,并用宁波数据进行剖析。最后提出促进创业投资持续健康发展的"宁波对策"。
        Under the background of the supply-side structural reform, the implementation of innovation-driven strategy and promotion of mass entrepreneurship and innovation, the efficient combination of venture capital and technological innovation is an important pathway to realize regional economic transformation and form new momentum of economic growth. This paper, on the basis of reviewing the relevant literatures, takes Ningbo as an example, systematically summarizes the development process, characteristics and trends of Ningbo venture capital, and makes a descriptive statistical analysis of its development scale, investment direction and investment effect. Based on the Christian Schr?der's supply-demand model of venture capital, this paper discusses the influencing factors of Ningbo venture capital development using CES utility function. Finally, this paper puts forward"Ningbo Countermeasures"to promote the sustainable and healthy development of venture capital.
引文
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    (1)宁波辖区注册有3 000家各类基金,在梅山保税岛区注册并在中基协备案有368家,在国家发改委备案的有160家,创业投资微观运营数据一方面很难全面挖掘,另一方面基于保密考虑,不方便公开陈述,故选择21家政府创业投资作为分析样本。
    (1)由于篇幅要求,影响创业投资的供给与需求模型推导及模型证明省略,有需要可与作者联系。

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