“边疆”再探:概念、类型与治理路径
发布时间：2019-05-05 13:09
【摘要】："边疆"的本质属性涉及人口及其密度,也涉及经济社会发展程度。从"边疆"的人类社会属性上讲,社会安全程度和经济发展程度则是衡量边疆特性的基本维度。根据边疆社会属性的两大维度——安全与发展程度的高低,通过2×2矩阵可以划分为四种类型:纯粹型、控制型、相对型和中心型。在此基础上,总结抽象出边疆治理的基本路径:安全优先模式、发展导向模式、"钟摆"模式和安全发展并重模式。
[Abstract]:The essential attribute of Frontier is not only population and its density, but also the degree of economic and social development. The degree of social security and the degree of economic development are the basic dimensions to measure the characteristics of frontier from the point of view of human social attribute of "frontier". According to the two dimensions of frontier social attribute-the level of security and the degree of development, the 2 脳 2 matrix can be divided into four types: pure type, control type, relative type and central type. 2 脳 2 matrix can be divided into four types: pure type, control type, relative type and central type. On this basis, summarized the basic path of border governance: security priority mode, development-oriented model, "pendulum" mode and security development mode.
【作者单位】： 四川大学中国西部边疆安全与发展协同创新中心、国际关系学院;四川大学公共管理学院;
【基金】：中国博士后科学基金资助项目(2016M600737)
【分类号】：D633
本文编号：2469590
[Abstract]:The essential attribute of Frontier is not only population and its density, but also the degree of economic and social development. The degree of social security and the degree of economic development are the basic dimensions to measure the characteristics of frontier from the point of view of human social attribute of "frontier". According to the two dimensions of frontier social attribute-the level of security and the degree of development, the 2 脳 2 matrix can be divided into four types: pure type, control type, relative type and central type. 2 脳 2 matrix can be divided into four types: pure type, control type, relative type and central type. On this basis, summarized the basic path of border governance: security priority mode, development-oriented model, "pendulum" mode and security development mode.
【作者单位】： 四川大学中国西部边疆安全与发展协同创新中心、国际关系学院;四川大学公共管理学院;
【基金】：中国博士后科学基金资助项目(2016M600737)
【分类号】：D633
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