Analysis and Research on Economic Management Statistics Based on SPSS

Yun Peng Duan; Li Min Si; Xin Wang

doi:10.4028/www.scientific.net/AMM.687-691.5157

Paper Titles

Analysis on Influence Factors of Coal Mine Capital Construction Investment Efficiency
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Research on Effectiveness of Production Resource Allocation Based on Extended Information Entropy
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Solving Portfolio Investment Model Based on Trade Data Stream in the Stock Market
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Based on Perspective of the Owner of the Design Change Control of the Construction Project
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Analysis and Research on Economic Management Statistics Based on SPSS
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Study on Vehicle Logistics Routing Path Problem with Time Windows Based on Particle Swarm Optimization
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The Application of Grey Relational Analysis Model in the Performance Evaluation of Agricultural Product Logistics Companies
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Study on Prediction of the Peasants’ Income Based on SVM
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Game Analysis of Logistics Enterprises Default in Financial Logistics
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 687-691Analysis and Research on Economic Management...

Analysis and Research on Economic Management Statistics Based on SPSS

Abstract:

Economic development is one of the targets of the whole human society. In macroeconomic theory, the developments of the economy are largely driven by consumption, investment, government purchases. In economic theory, we usually use to describe the development of economy, GDP and GDP will be affected by the price level. To measure the price level, we generally use the consumer price index, commodity retail price index to describe; Investment is usually measured with fixed asset investment and gross value of industrial output. In this article, through nearly 20 years in China's gross domestic product (GDP) and gross domestic product (GDP) of some important indicators, such as the residents' consumption level, the fiscal expenditure, gross value of industrial output and commodity retail price index, the consumer price index, urban residents' income, rural residents income, such as the total energy consumption data, using SPSS software to provide the descriptive analysis, factor analysis, regression analysis and other methods of data carried on the thorough analysis, and analysis the problems reflected by some targeted Suggestions are given.