%0 Journal Article %A QIN Yao-Chen %A ZHANG Li-Jun %T Advancement of the Methods of Regional Leading Industry Selection %D 2009 %R 10.11820/dlkxjz.2009.01.018 %J PROGRESS IN GEOGRAPHY %P 132-138 %V 28 %N 1 %X

The regional leading industry has become an interesting topic in economics and geography. Various kinds of selection methods are widely used to establish and train leading industry in different levels of district unit, from town, county, city to province. In the context of globalization and regional integration, the perspective on region has changed, preferring to study the interconnection between economic activities and territories instead of region itself. And regional leading industry shows a new feature, the selection methods appear fast and their approach system is forming. The article summarized the different development stages of regional leading industry, summed up 13 kinds of regional leading industry selection methods and described their functions and structures, including location quotient method, input-output method, shift-share method, date environment analysis, principal component analysis, factor analysis, BP neural network and so on. Then, the paper classified them into single-criterion model and multi-criteria model, and identified some typical models such as DEA model, Diamond Theory model, Gray Cluster model and AHP model with case analysis. It concluded that DEA model is more scientifically objective, Diamond Theory model is a breakthrough and a new direction in theory, ray Cluster model and AHP model are more accurate and reasonable methods in analyzing regional leading industry. But the regional leading industry selection theoretical studies and approach applications haven't been well formed until now. In the future, the theory research based on the plan and policy for development priority zones should be enhanced, and the application of GIS technology will be strengthened.

%U https://www.progressingeography.com/EN/10.11820/dlkxjz.2009.01.018