资源型城市主导产业选择方法研究*——以新疆巴州为例  

Research on Methodology of Resource-Based Cities Leading Sector Selection——A Case Study of Bayingolin Mongol Autonomous Prefecture, Xinjiang

作　　者：艾尔肯江.阿布力提甫 石勇[1,2] 曲艺[1,2] 

机构地区：[1]中国科学院经济与管理学院,北京100190 [2]中国科学院虚拟经济与数据科学研究中心,北京100190

出　　处：《科技促进发展》2018年第3期175-181,共7页Science & Technology for Development

基　　金：国家自然科学基金重点项目(编号:71331005):大数据环境下的管理决策创新研究;负责人:石勇;国家自然科学基金重大研究计划(编号:91546201):面向管理决策的非结构化大数据分析方法与关键技术;负责人:石勇

摘　　要：主导产业对区域经济发展有着巨大的带动作用,结合区域具体情况构建主导产业选择方法论,对区域经济政策的制定具有极其重要的参考价值。本文结合资源型城市情况,从产业运行效率、产业发展规模、产业能耗污染3个维度,综合运用数据包络分析、层次分析法等构建了ESEP资源型城市主导产业选择方法,为资源型城市主导产业选择提供了新的方法和视角,并以新疆巴州为例进行了实证研究,为巴州产业政策的制定提供了导向和依据。Leading sector plays a significant role in promoting regional economic development. Building a methodology of leading sector selection based on the specific situation of regions will be of great value to regional economic policies. Considering the specific characteristics of resource-based cities, this paper comprehensively uses Data Envelopment Analysis and Analytic Hierarchy Process to establish ＂ESEP methodology＂ for leading sector selection from three perspectives, which are Industrial Efficiency（E）, Industrial Development Scale（S）, Industrial Energy Consumption and Pollution（EP）. This approach provides a new sight for choosing the leading industry in resource-based areas. Taking Bayingolin Mongol Autonomous Prefecture as an example, we also carried out an empirical research, which provides guidance and basis for the arrangement of industrial policy.

关 键 词：资源型城市 主导产业选择 ESEP DEA 

分 类 号：F127[经济管理—世界经济]