Canonical Correlation Analysis Between Residents’ Living Standards and Community Management Service Levels in Rural Areas: An Empirical Analysis Based on Municipal Data in Anhui Province
Improving the rural community management service level can effectively optimize the rural community living condition, provide a better social environment for rural residents to start up business and promote the living standard of rural residents. This paper presents quantitative research on the corr...
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Veröffentlicht in: | Computational economics 2018-12, Vol.52 (4), p.1053-1068 |
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description | Improving the rural community management service level can effectively optimize the rural community living condition, provide a better social environment for rural residents to start up business and promote the living standard of rural residents. This paper presents quantitative research on the correlation between rural residents’ living standards and rural community management service levels on the basis of 16 municipalities’ data in Anhui province in 2015. The results of the study are as follows: road mileage per every ten thousand people, rural water improvement profitability and rural sanitary toilet penetration have a decisive influence on the improvement of living standards in Anhui rural areas; specifically, the first pair of canonical variables has a fairly accurate predictive ability in road mileage per every ten thousand people, rural water improvement profitability, rural sanitary toilets penetration, per capita disposable income and per capita consumption expenditure but has a poor predictive ability in the enrollment rate of the new rural cooperative medical system. Additionally, the first pair of canonical variables can explain and predict the corresponding variables quite well, and the rural community management service level has an evident interaction effect with the living standard of rural residents. |
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This paper presents quantitative research on the correlation between rural residents’ living standards and rural community management service levels on the basis of 16 municipalities’ data in Anhui province in 2015. The results of the study are as follows: road mileage per every ten thousand people, rural water improvement profitability and rural sanitary toilet penetration have a decisive influence on the improvement of living standards in Anhui rural areas; specifically, the first pair of canonical variables has a fairly accurate predictive ability in road mileage per every ten thousand people, rural water improvement profitability, rural sanitary toilets penetration, per capita disposable income and per capita consumption expenditure but has a poor predictive ability in the enrollment rate of the new rural cooperative medical system. Additionally, the first pair of canonical variables can explain and predict the corresponding variables quite well, and the rural community management service level has an evident interaction effect with the living standard of rural residents.</description><identifier>ISSN: 0927-7099</identifier><identifier>EISSN: 1572-9974</identifier><identifier>DOI: 10.1007/s10614-017-9791-4</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Behavioral/Experimental Economics ; Community living ; Community management ; Computer Appl. in Social and Behavioral Sciences ; Consumption ; Correlation analysis ; Disposable income ; Economic Theory/Quantitative Economics/Mathematical Methods ; Economics ; Economics and Finance ; Empirical analysis ; Management ; Math Applications in Computer Science ; Municipalities ; Operations Research/Decision Theory ; Penetration ; Predictions ; Profitability ; Quantitative analysis ; Rural areas ; Rural communities ; Rural environments ; Rural roads ; Social environment ; Standard of living ; Start up ; Toilets ; Variables ; Water</subject><ispartof>Computational economics, 2018-12, Vol.52 (4), p.1053-1068</ispartof><rights>Springer Science+Business Media, LLC, part of Springer Nature 2018</rights><rights>Computational Economics is a copyright of Springer, (2018). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c2964-17cb7e7e5a9d78cd2b2ac3dbb7752c8cb1e1ec74f56a0209ad71f34dd038c6753</citedby><cites>FETCH-LOGICAL-c2964-17cb7e7e5a9d78cd2b2ac3dbb7752c8cb1e1ec74f56a0209ad71f34dd038c6753</cites><orcidid>0000-0001-8303-3040</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10614-017-9791-4$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10614-017-9791-4$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Chen, Deyou</creatorcontrib><creatorcontrib>Wang, Lei</creatorcontrib><creatorcontrib>Su, Tao</creatorcontrib><creatorcontrib>Zhang, Youtao</creatorcontrib><title>Canonical Correlation Analysis Between Residents’ Living Standards and Community Management Service Levels in Rural Areas: An Empirical Analysis Based on Municipal Data in Anhui Province</title><title>Computational economics</title><addtitle>Comput Econ</addtitle><description>Improving the rural community management service level can effectively optimize the rural community living condition, provide a better social environment for rural residents to start up business and promote the living standard of rural residents. This paper presents quantitative research on the correlation between rural residents’ living standards and rural community management service levels on the basis of 16 municipalities’ data in Anhui province in 2015. The results of the study are as follows: road mileage per every ten thousand people, rural water improvement profitability and rural sanitary toilet penetration have a decisive influence on the improvement of living standards in Anhui rural areas; specifically, the first pair of canonical variables has a fairly accurate predictive ability in road mileage per every ten thousand people, rural water improvement profitability, rural sanitary toilets penetration, per capita disposable income and per capita consumption expenditure but has a poor predictive ability in the enrollment rate of the new rural cooperative medical system. Additionally, the first pair of canonical variables can explain and predict the corresponding variables quite well, and the rural community management service level has an evident interaction effect with the living standard of rural residents.</description><subject>Behavioral/Experimental Economics</subject><subject>Community living</subject><subject>Community management</subject><subject>Computer Appl. in Social and Behavioral Sciences</subject><subject>Consumption</subject><subject>Correlation analysis</subject><subject>Disposable income</subject><subject>Economic Theory/Quantitative Economics/Mathematical Methods</subject><subject>Economics</subject><subject>Economics and Finance</subject><subject>Empirical analysis</subject><subject>Management</subject><subject>Math Applications in Computer Science</subject><subject>Municipalities</subject><subject>Operations Research/Decision Theory</subject><subject>Penetration</subject><subject>Predictions</subject><subject>Profitability</subject><subject>Quantitative analysis</subject><subject>Rural areas</subject><subject>Rural communities</subject><subject>Rural environments</subject><subject>Rural roads</subject><subject>Social environment</subject><subject>Standard of living</subject><subject>Start up</subject><subject>Toilets</subject><subject>Variables</subject><subject>Water</subject><issn>0927-7099</issn><issn>1572-9974</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp1kcFOGzEYhC3USqSUB-jNUs_b2s5u_phbCJRWCqICerb-tf8Eo11vau-myq2vwY0n6YFH6ZPUUUA9cZrLfDMjDWMfpPgkhYDPSYqJLAshodCgZVEesJGsQBVaQ_mGjYRWUIDQ-pC9S-leCFFJpUbszxxDF7zFhs-7GKnB3neBzwI22-QTP6X-F1Hg15S8o9Cnv78f-MJvfFjxmx6Dw-gSz5rxth2C77f8EgOuqM1ufkNx4y3xBW2oSdznoCHmrlkkTCe5hp-3ax93_U-PL6VPj6eYyPG84zInWr_OxBn2uONn4W7w_Hvs8gRL79nbJTaJjp_1iP34cn47_1osri6-zWeLwio9KQsJtgYCqlA7mFqnaoV27OoaoFJ2amtJkiyUy2qCQgmNDuRyXDonxlM7gWp8xD7uc9ex-zlQ6s19N8S8NxklxBQESCmzS-5dNnYpRVqadfQtxq2RwuxuMvubTL7J7G4yZWbUnknZG1YU_ye_Dv0DGlCbVQ</recordid><startdate>20181201</startdate><enddate>20181201</enddate><creator>Chen, Deyou</creator><creator>Wang, Lei</creator><creator>Su, Tao</creator><creator>Zhang, Youtao</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>8AO</scope><scope>8BJ</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FQK</scope><scope>FRNLG</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JBE</scope><scope>JQ2</scope><scope>K60</scope><scope>K6~</scope><scope>K7-</scope><scope>L.-</scope><scope>M0C</scope><scope>P5Z</scope><scope>P62</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><orcidid>https://orcid.org/0000-0001-8303-3040</orcidid></search><sort><creationdate>20181201</creationdate><title>Canonical Correlation Analysis Between Residents’ Living Standards and Community Management Service Levels in Rural Areas: An Empirical Analysis Based on Municipal Data in Anhui Province</title><author>Chen, Deyou ; 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This paper presents quantitative research on the correlation between rural residents’ living standards and rural community management service levels on the basis of 16 municipalities’ data in Anhui province in 2015. The results of the study are as follows: road mileage per every ten thousand people, rural water improvement profitability and rural sanitary toilet penetration have a decisive influence on the improvement of living standards in Anhui rural areas; specifically, the first pair of canonical variables has a fairly accurate predictive ability in road mileage per every ten thousand people, rural water improvement profitability, rural sanitary toilets penetration, per capita disposable income and per capita consumption expenditure but has a poor predictive ability in the enrollment rate of the new rural cooperative medical system. 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subjects | Behavioral/Experimental Economics Community living Community management Computer Appl. in Social and Behavioral Sciences Consumption Correlation analysis Disposable income Economic Theory/Quantitative Economics/Mathematical Methods Economics Economics and Finance Empirical analysis Management Math Applications in Computer Science Municipalities Operations Research/Decision Theory Penetration Predictions Profitability Quantitative analysis Rural areas Rural communities Rural environments Rural roads Social environment Standard of living Start up Toilets Variables Water |
title | Canonical Correlation Analysis Between Residents’ Living Standards and Community Management Service Levels in Rural Areas: An Empirical Analysis Based on Municipal Data in Anhui Province |
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