Analysis on the Development of Digital Economy in Guangdong Province Based on Improved Entropy Method and Multivariate Statistical Analysis

The lack of adequate indicators in the research of digital economy may lead to the shortage of data support on decision making for governments. To solve this problem, first we establish a digital economy indicator evaluation system by dividing the digital economy into four types: “basic type”, “tech...

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Main Authors: Xue Deng, Yuying Liu, Ye Xiong
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/22/12/1441
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spelling doaj-bd7edbe06fd841fda4970e060af4b5652020-12-21T00:01:53ZengMDPI AGEntropy1099-43002020-12-01221441144110.3390/e22121441Analysis on the Development of Digital Economy in Guangdong Province Based on Improved Entropy Method and Multivariate Statistical AnalysisXue Deng0Yuying Liu1Ye Xiong2School of Mathematics, South China University of Technology, Guangzhou 510640, ChinaSchool of Mathematics, South China University of Technology, Guangzhou 510640, ChinaSchool of Mathematics, South China University of Technology, Guangzhou 510640, ChinaThe lack of adequate indicators in the research of digital economy may lead to the shortage of data support on decision making for governments. To solve this problem, first we establish a digital economy indicator evaluation system by dividing the digital economy into four types: “basic type”, “technology type”, “integration type” and “service type” and select 5 indicators for each type. On this basis, the weight of each indicator is calculated to find the deficiencies in the development of some digital economic fields by the improved entropy method. By drawing on the empowerment idea of Analytic Hierarchy Process, the improved entropy method firstly compares the difference coefficient of indicators in pairs and maps the comparison results to the scales 1–9. Then, the judgment matrix is constructed based on the information entropy, which can solve as much as possible the problem that the difference among the weight of each indicator is too large in traditional entropy method. The results indicate that: the development of digital economy in Guangdong Province was relatively balanced from 2015 to 2018 and will be better in the future while the development of rural e-commerce in Guangdong Province is relatively backward, and there is an obvious digital gap between urban and rural areas. Next we extract two new variables respectively to replace the 20 indicators we select through principal component analysis and factor analysis methods in multivariate statistical analysis, which can retain the original information to the greatest extent and provide convenience for further research in the future. Finally, we and provide constructive comments of digital economy in Guangdong Province from 2015 to 2018.https://www.mdpi.com/1099-4300/22/12/1441digital economyindicator systemimproved entropy methodprincipal component analysisfactor analysis
collection DOAJ
language English
format Article
sources DOAJ
author Xue Deng
Yuying Liu
Ye Xiong
spellingShingle Xue Deng
Yuying Liu
Ye Xiong
Analysis on the Development of Digital Economy in Guangdong Province Based on Improved Entropy Method and Multivariate Statistical Analysis
Entropy
digital economy
indicator system
improved entropy method
principal component analysis
factor analysis
author_facet Xue Deng
Yuying Liu
Ye Xiong
author_sort Xue Deng
title Analysis on the Development of Digital Economy in Guangdong Province Based on Improved Entropy Method and Multivariate Statistical Analysis
title_short Analysis on the Development of Digital Economy in Guangdong Province Based on Improved Entropy Method and Multivariate Statistical Analysis
title_full Analysis on the Development of Digital Economy in Guangdong Province Based on Improved Entropy Method and Multivariate Statistical Analysis
title_fullStr Analysis on the Development of Digital Economy in Guangdong Province Based on Improved Entropy Method and Multivariate Statistical Analysis
title_full_unstemmed Analysis on the Development of Digital Economy in Guangdong Province Based on Improved Entropy Method and Multivariate Statistical Analysis
title_sort analysis on the development of digital economy in guangdong province based on improved entropy method and multivariate statistical analysis
publisher MDPI AG
series Entropy
issn 1099-4300
publishDate 2020-12-01
description The lack of adequate indicators in the research of digital economy may lead to the shortage of data support on decision making for governments. To solve this problem, first we establish a digital economy indicator evaluation system by dividing the digital economy into four types: “basic type”, “technology type”, “integration type” and “service type” and select 5 indicators for each type. On this basis, the weight of each indicator is calculated to find the deficiencies in the development of some digital economic fields by the improved entropy method. By drawing on the empowerment idea of Analytic Hierarchy Process, the improved entropy method firstly compares the difference coefficient of indicators in pairs and maps the comparison results to the scales 1–9. Then, the judgment matrix is constructed based on the information entropy, which can solve as much as possible the problem that the difference among the weight of each indicator is too large in traditional entropy method. The results indicate that: the development of digital economy in Guangdong Province was relatively balanced from 2015 to 2018 and will be better in the future while the development of rural e-commerce in Guangdong Province is relatively backward, and there is an obvious digital gap between urban and rural areas. Next we extract two new variables respectively to replace the 20 indicators we select through principal component analysis and factor analysis methods in multivariate statistical analysis, which can retain the original information to the greatest extent and provide convenience for further research in the future. Finally, we and provide constructive comments of digital economy in Guangdong Province from 2015 to 2018.
topic digital economy
indicator system
improved entropy method
principal component analysis
factor analysis
url https://www.mdpi.com/1099-4300/22/12/1441
work_keys_str_mv AT xuedeng analysisonthedevelopmentofdigitaleconomyinguangdongprovincebasedonimprovedentropymethodandmultivariatestatisticalanalysis
AT yuyingliu analysisonthedevelopmentofdigitaleconomyinguangdongprovincebasedonimprovedentropymethodandmultivariatestatisticalanalysis
AT yexiong analysisonthedevelopmentofdigitaleconomyinguangdongprovincebasedonimprovedentropymethodandmultivariatestatisticalanalysis
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