Comprehensive Evaluation of Regional Economic Development in Shandong Based on Principle Component Analysis
Zou Songqing
Abstract
Zou Songqing
Abstract
Using principle component analysis to 10 indicators from 17 regions in Shandong province,the paper ranks of the principal component and the composite component in SPSS19.0 statistical analysis software.The results showed that Shandong regional economic development is unbalanced and the development level is divided into five levels.The differences are mainly due to natural environment,geographical location,historical conditions,cultural environment and many other factors.Therefore,the government should attach great importance to differences of economic development,increase investment and promote the harmonious development of the economy combined with features and advantages of each region in Shandong.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Using principle component analysis to 10 indicators from 17 regions in Shandong province,the paper ranks of the principal component and the composite component in SPSS19.0 statistical analysis software.The results showed that Shandong regional economic development is unbalanced and the development level is divided into five levels.The differences are mainly due to natural environment,geographical location,historical conditions,cultural environment and many other factors.Therefore,the government should attach great importance to differences of economic development,increase investment and promote the harmonious development of the economy combined with features and advantages of each region in Shandong.
Key concepts: Principal component analysis, Investment (military), Component (thermodynamics), Government (linguistics), Regional science, Economic growth, Business, Geography