{"title":"影响收入不平等变量的面板数据分析","authors":"Yeşim KUBAR, Yasemin ÇİÇEK","doi":"10.30520/tjsosci.1332143","DOIUrl":null,"url":null,"abstract":"Income distribution injustice is one of the serious and complex problems in development of a country. In a country, for economic development to spread over social basis, it is necessary for the gains en-gendered by growth to be shared with all society. Thanks to this, a country also provides economic growth as well as welfare increase. Spread of economic growth over social basis is closely related to a fair income distribution. In the study carried out, income distribution injustice is associated with Gini Coefficient. While that Gini Coefficient approaches zero means that country incomes are fairly dis-tributed to every sector of society, that it approaches to one expresses that incomes are collected in certain sectors and that income justice in that country becomes worse. In this study, utilizing the1990-2020 annual data of the countries such as USA, Brazil, Canada, Finland and United Kingdom, it was aimed to identify that income distribution injustice are affected from which of the variables such as employment rate, per capita income, fertility rate, urbanization and investment rate and how. As dependent variable of the study, Gini Coefficient was used. In the study, utilized panel data analysis, according to the results of long term PDOLS predictor analysis, it was concluded that an increase of one unit occurring in per capita income, gross capital formation (investment) and employment rate affected Gini Coefficient in positive direction, that fertility rate was insignificant, and that urbaniza-tion negatively affected it.","PeriodicalId":46877,"journal":{"name":"Innovation-The European Journal of Social Science Research","volume":"40 1","pages":"0"},"PeriodicalIF":1.6000,"publicationDate":"2023-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"GELİR DAĞILIMI ADALETSİZLİĞİNE ETKİ EDEN DEĞİŞKENLER ÜZERİNE PANEL VERİ ANALİZİ\",\"authors\":\"Yeşim KUBAR, Yasemin ÇİÇEK\",\"doi\":\"10.30520/tjsosci.1332143\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Income distribution injustice is one of the serious and complex problems in development of a country. In a country, for economic development to spread over social basis, it is necessary for the gains en-gendered by growth to be shared with all society. Thanks to this, a country also provides economic growth as well as welfare increase. Spread of economic growth over social basis is closely related to a fair income distribution. In the study carried out, income distribution injustice is associated with Gini Coefficient. While that Gini Coefficient approaches zero means that country incomes are fairly dis-tributed to every sector of society, that it approaches to one expresses that incomes are collected in certain sectors and that income justice in that country becomes worse. In this study, utilizing the1990-2020 annual data of the countries such as USA, Brazil, Canada, Finland and United Kingdom, it was aimed to identify that income distribution injustice are affected from which of the variables such as employment rate, per capita income, fertility rate, urbanization and investment rate and how. As dependent variable of the study, Gini Coefficient was used. In the study, utilized panel data analysis, according to the results of long term PDOLS predictor analysis, it was concluded that an increase of one unit occurring in per capita income, gross capital formation (investment) and employment rate affected Gini Coefficient in positive direction, that fertility rate was insignificant, and that urbaniza-tion negatively affected it.\",\"PeriodicalId\":46877,\"journal\":{\"name\":\"Innovation-The European Journal of Social Science Research\",\"volume\":\"40 1\",\"pages\":\"0\"},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2023-09-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Innovation-The European Journal of Social Science Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.30520/tjsosci.1332143\",\"RegionNum\":3,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"SOCIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Innovation-The European Journal of Social Science Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.30520/tjsosci.1332143","RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"SOCIOLOGY","Score":null,"Total":0}
GELİR DAĞILIMI ADALETSİZLİĞİNE ETKİ EDEN DEĞİŞKENLER ÜZERİNE PANEL VERİ ANALİZİ
Income distribution injustice is one of the serious and complex problems in development of a country. In a country, for economic development to spread over social basis, it is necessary for the gains en-gendered by growth to be shared with all society. Thanks to this, a country also provides economic growth as well as welfare increase. Spread of economic growth over social basis is closely related to a fair income distribution. In the study carried out, income distribution injustice is associated with Gini Coefficient. While that Gini Coefficient approaches zero means that country incomes are fairly dis-tributed to every sector of society, that it approaches to one expresses that incomes are collected in certain sectors and that income justice in that country becomes worse. In this study, utilizing the1990-2020 annual data of the countries such as USA, Brazil, Canada, Finland and United Kingdom, it was aimed to identify that income distribution injustice are affected from which of the variables such as employment rate, per capita income, fertility rate, urbanization and investment rate and how. As dependent variable of the study, Gini Coefficient was used. In the study, utilized panel data analysis, according to the results of long term PDOLS predictor analysis, it was concluded that an increase of one unit occurring in per capita income, gross capital formation (investment) and employment rate affected Gini Coefficient in positive direction, that fertility rate was insignificant, and that urbaniza-tion negatively affected it.
期刊介绍:
European integration and enlargement pose fundamental challenges for policy, politics, citizenship, culture and democracy. Innovation: The European Journal of Social Science Research provides a unique forum for discussing these processes. It welcomes articles on all aspects of European developments that contribute to the improvement of social science knowledge and to the setting of a policy-focused European research agenda. Examples of typical subject areas covered include •Policy-Making and Agenda-Setting •Multilevel Governance •The Role of Institutions •Democracy and Civil Society •Social Structures and Integration •Sustainability and Ecological Modernisation •Science, Research, Technology and Society