2009Anhui nongye kexueRequires access

Urban Economic Development Level Evaluation of Central China Economic District Based on Factor Analysis

Jixian Zhang

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Abstract

By using the multi-factors principal component analysis synthetically,the indices that could reflect the economic development level of each city were chosen from the newest statistical data of Central China Economic District.And the data were disposed by using statistic analysis software SPSS.The economic development levels of the cities in Central China Economic District were listed.And the reasons of the differences between the cities were analyzed.According to the evaluation results,some countermeasures of the development of the economic district were put forward.

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What this paper is about

By using the multi-factors principal component analysis synthetically,the indices that could reflect the economic development level of each city were chosen from the newest statistical data of Central China Economic District.And the data were disposed by using statistic analysis software SPSS.The economic development levels of the cities in Central China Economic District were listed.And the reasons of the differences between the cities were analyzed.According to the evaluation results,some countermeasures of the development of the economic district were put forward.

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Available abstract

By using the multi-factors principal component analysis synthetically,the indices that could reflect the economic development level of each city were chosen from the newest statistical data of Central China Economic District.And the data were disposed by using statistic analysis software SPSS.The economic development levels of the cities in Central China Economic District were listed.And the reasons of the differences between the cities were analyzed.According to the evaluation results,some countermeasures of the development of the economic district were put forward.

Key concepts: Statistic, China, Principal component analysis, Statistical analysis, Economic analysis, Central city, Regional science, Geography

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