商业研究

• 产业经济 • 上一篇    下一篇

冰雪旅游产业集群网络性风险与治理 ——基于刻画产业集群网络关系委托-代理模型的分析

陆丰刚1,陈寅平1,2   

  1. (哈尔滨商业大学 1.经济学院;2. 经管综合实践中心,哈尔滨 150028)
  • 收稿日期:2018-07-13 出版日期:2018-11-10
  • 作者简介:陆丰刚(1982-),男,山东临沂人,哈尔滨商业大学经济学院副教授,经济学博士,研究方向:宏观经济;陈寅平(1982-),本文通讯作者,女,山东泰安人,哈尔滨商业大学经济学院博士研究生,研究方向:国际经济合作。
  • 基金资助:
    国家社会科学基金项目“跨越中等收入陷阱与我国产业结构调整、优化关联研究”,项目编号:15BJL042;哈尔滨商业大学青年创新人才培养计划项目 “黑龙江省冰雪旅游产业集群多重委托-代理问题产生机理与解决路径研究”,项目编号:18XN011。

The Network Risk and Governance of Ice and Snow Tourism Cluster: An Analysis based on the Principal-Agent Model Capturing Network Relationship

LU Feng-gang1,CHEN Yin-ping1,2   

  1. (1. School of Economics, Harbin University of Commerce, Harbin 150028, China;2. Experimental Center of Economics and Administration, Harbin University of Commerce, Harbin 150028, China)
  • Received:2018-07-13 Online:2018-11-10

摘要: 由于网络关系的作用,产业集群内任一网络节点出现问题都可能迅速且严重危及整个产业发展。冰雪旅游产业集群发展中由于存在多重委托-代理问题,极易发生网络性风险。本文从协调冰雪旅游参与主体利益关系与解决信息不对称两个问题入手,从利益机制与监督体系两方面研究设计克服多重委托-代理的影响,减少冰雪旅游产业集群网络性风险发生的治理对策;通过建立以黑龙江省人民政府为委托人,以冰雪旅游经营主体为代理人的理论分析模型来刻画冰雪旅游产业集群网络关系,分析问题生成机理。

关键词: 冰雪旅游, 产业集群网络性风险, 委托-代理模型, 冰雪旅游信息平台

Abstract: Because of the role of network relations, any network node in industrial clusters can quickly and seriously endanger the development of the entire industry. In the development of ice and snow tourism industry cluster, there are multiple principal-agent problems, which easily lead to network risks.Starting from coordinating the interests of participants in ice and snow tourism and solving the problem of information asymmetry, this paper studies and designs the countermeasures to overcome the influence of multiple principal-agent and reduce the network risk of ice and snow tourism industry cluster from two aspects of interest mechanism and supervision system.By establishing a theoretical analysis model with the People′s Government of Heilongjiang Province as the principal and the main body of ice and snow tourism as the agent, this paper describes the formation mechanism of network relationship analysis of ice and snow tourism industry cluster.

Key words: ice and snow tourism, industrial cluster network risk, principal-agent model, ice and snow tourism information platform