Research on assessment of the economic and social development based on a two-stage grey cluster method

Abstract

4 first-grade indicators and 13 second-grade indicators, which are selected by a two-stage grey cluster method from numerous factors such as those influencing the development of economy and society, infrastructure construction, and related industry development, constitute an assessment indicator system for evaluating regional economic and social development. Data was collected from 14 cities and prefectures of Xinjiang, a province of China, as a sample, and then an improved center points mixed triangle whitenization weight function was deployed to divide 14 cities and prefectures of Xinjiang into 4 groups, which provides the basis for economic and social development orientation of cities and prefectures in Xinjiang under the background of “the New Silk Road Economic Belt”. Finally, reasons for development lag of economic circles are analyzed and constructive suggestions are put forward accordingly.