国际区域经济韧性研究进展——基于演化论的理论分析框架介绍①

doi:10.18306/dlkxjz.2017.11.012

摘要/Abstract

摘要：

区域韧性在中国已成为新兴研究热点,然而国内学者依然将韧性研究局限于均衡论的认识论范畴内。本文首先通过回顾国际最新研究动态从认识论层面辨析均衡论和演化论这两种韧性认知视角的本质区别,由此介绍西方经济韧性的演化论转向。然后从宏观和微观角度阐述演化论视角下区域韧性的形成机制,介绍相关定量测度方法;在此基础上形成系统的西方最新有关研究经济韧性的理论分析框架。未来研究应该在演化论视角基础上强化演化经济地理、创新地理(区域知识网络)和区域韧性这三个研究分支的联系,还应该加强产业历史演化过程的案例研究,并利用专利数据等开放数据源构建产业空间基础数据库。

关键词: 区域韧性, 演化经济地理, 缄默知识, 网络分析

Abstract:

Regional resilience has become a trendy research branch. However, traditional Chinese research of resilience had been limited within the equilibrium-based epistemology. This article, based on a review of international literature, clarifies different definitions of economic resilience: engineering resilience, ecological resilience, and evolutionary resilience. The article rejects equilibrium-based epistemology of resilience and argues instead the evolutionary perspective. Then, it introduces the formation mechanism of economic resilience from macro and micro aspects; and introduces quantitative measurement of network analysis. This article concludes that resilience should be extended to the economic field and evolutionary-based perspective. Chinese researchers should notice connections between three research branches — namely evolutionary economic geography, innovation geography, and regional resilience. Future research should focus on case studies of urban and regional economies. They should also explore the existing open patent data source to establish the quantitative database of industry space.

Key words: regional resilience, evolutionary economic geography, tacit knowledge, network analysis

陈梦远. 国际区域经济韧性研究进展——基于演化论的理论分析框架介绍^①[J]. 地理科学进展, 2017, 36(11): 1435-1444.

Mengyuan CHEN. An international literature review of regional economic resilience: Theories and practices based on the evolutionary perspective[J]. PROGRESS IN GEOGRAPHY, 2017, 36(11): 1435-1444.

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区域网络结构名称	优点	劣势
随机网络：高度相关性为0,知识网络节点随机分布	无论是由均衡视角还是演化视角,该区域知识网络都有很高的韧性	缺乏联系紧密的核心,而缺乏专业化生产效率
核心—边缘网络：高度相关性为正值,区域节点之间联系呈现出高联系节点—高联系节点,低联系节点—低联系节点的特征	具备紧密的核心,和较强生产效率	区域边缘网络和核心联系不够紧密,区域演化到其他路径的能力不足,区域韧性较弱
韧性网络：高度相关性为负值,区域节点之间联系呈现出高联系节点—低联系节点,低联系节点—高联系节点的特征	既具有紧密的核心,又具备演化到其他发展路径的能力