{"data":{"id":"10.17026/dans-x8f-v2yx","type":"dois","attributes":{"doi":"10.17026/dans-x8f-v2yx","prefix":"10.17026","suffix":"dans-x8f-v2yx","identifiers":[{"identifier":"easy-dataset:256940","identifierType":":unav"}],"alternateIdentifiers":[{"alternateIdentifierType":":unav","alternateIdentifier":"easy-dataset:256940"}],"creators":[{"name":"SHEN S Suyan SHEN","nameType":"Organizational","affiliation":["Nanjing Agricultural University"],"nameIdentifiers":[]},{"name":"XUE M Mengying XUE","nameType":"Personal","givenName":"XUE","familyName":"M Mengying XUE","affiliation":["Nanjing Agricultural University"],"nameIdentifiers":[]},{"name":"LI F Fang LI","nameType":"Personal","givenName":"LI Fang","familyName":"g LI","affiliation":["Nanjing Agricultural University"],"nameIdentifiers":[]}],"titles":[{"title":"Social Security Participation Behavior and Socio - Economic Equity Perceptions of the Mobile Population: An Examination of the Differences between “Rural - Urban” and “Urban - Urban” Group"},{"title":"社会保障参保行为与流动人口的社会经济公平感知——基于“乡城”与“城城”群体差异的考察","titleType":"AlternativeTitle"}],"publisher":"DANS Data Station Social Sciences and Humanities","container":{},"publicationYear":2022,"subjects":[{"subject":"Social Sciences"}],"contributors":[{"name":"皎露 王","nameType":"Personal","affiliation":["南京农业大学"],"contributorType":"ContactPerson","nameIdentifiers":[]}],"dates":[{"date":"2022-09-18","dateType":"Issued"},{"date":"2022-03-15","dateType":"Created"},{"date":"2022-09-18","dateType":"Submitted"},{"date":"2022-09-20","dateType":"Available"},{"date":"2026-07-19","dateType":"Updated"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[],"relatedItems":[],"sizes":["16336","1773500"],"formats":["application/zip","application/pdf"],"version":"1.1","rightsList":[{"rightsUri":"info:eu-repo/semantics/openAccess"},{"lang":"en","rights":"Creative Commons Zero v1.0 Universal","rightsUri":"https://creativecommons.org/publicdomain/zero/1.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc0-1.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"\u0026lt;p\u0026gt;In the context of accelerated new urbanization, it is particularly important to re-examine equity. Based on functional theory and social cognitive theory, this paper uses the 2015 China General Social Survey (CGSS) data to analyze the impact of social security participation on the mobile population’s perception of socio-economic equity using the propensity score matching method, and further explores its impact mechanism. The study found that social security participation can effectively improve the mobile population’s perception of socio-economic equity by about 14%. Among them, the increase in the perception of socio-economic equity was greater for the rural-urban mobile population, at about 22%; however, the test results for the urban-urban mobile population failed to be significant. At the same time, institutional evaluation plays a mediating role in the impact of social security participation on the socio-economic equity perceptions of the mobile population. In general and the rural-urban mobile population. In this regard, the government needs to pay due attention to the function of social security in promoting social equity, improve the mobile population’s sense of socio-economic equity and reasonably guide the movement of the population between rural-urban and urban-urban areas.\u0026lt;/p\u0026gt;","descriptionType":"Abstract"},{"description":"The Python package langdetect was used to semi-automatically identify the languages used in the metadata. Human curators verified and corrected the results. If you notice any inaccuracies, please contact DANS.","descriptionType":"TechnicalInfo"}],"geoLocations":[],"fundingReferences":[],"xml":"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