Vuk GaraÄ a, Svetlana Vukosav, Danka Curaković, Milan Bradić, B. Kalenjuk
{"title":"伏伊伏丁那(塞尔维亚)旅游业雇员的工资作为一项性别不平等指标","authors":"Vuk GaraÄ a, Svetlana Vukosav, Danka Curaković, Milan Bradić, B. Kalenjuk","doi":"10.18509/gbp.2019.59","DOIUrl":null,"url":null,"abstract":"The position of men and women in the area of employment and work has a chain of specificities, which differ depending on the type of job. Tourism is a part of economy where the female workforce is more dominant, but the researches have shown that men and women are not equally distributed on all workplaces. Practice shows that men in most cases are employed in higher and better-paid positions. That is how the significant differences in average salaries of men and women in this part of economy. However, this difference is especially expressed according to level of education of men and women, where women’s salaries with the same level of education are lower than men’s salaries with the same level of education. Now, these salaries are the most significant indicator of gender inequality, even in developed western democracies of Europe and America, where men and women on same working positions and with the same level of education have different salaries in favour of men. The aim of this paper is to determine quantitative differences in salaries according to gender and level of professional qualification in the tourism industry of Vojvodina (Serbia). The main methods used in this paper are: statistical, analytically synthetic and descriptive. The correlation analysis was very important, which was used to draw a connection between the ten-year statistical series in the period from 2008 to 2018.","PeriodicalId":9293,"journal":{"name":"BSAVA Congress Proceedings 2019","volume":"27 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"THE SALARIES OF EMPLOYEES IN TOURISM INDUSTRY OF VOJVODINA (SERBIA) AS A GENDER INEQUALITY INDICATOR\",\"authors\":\"Vuk GaraÄ a, Svetlana Vukosav, Danka Curaković, Milan Bradić, B. Kalenjuk\",\"doi\":\"10.18509/gbp.2019.59\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The position of men and women in the area of employment and work has a chain of specificities, which differ depending on the type of job. Tourism is a part of economy where the female workforce is more dominant, but the researches have shown that men and women are not equally distributed on all workplaces. Practice shows that men in most cases are employed in higher and better-paid positions. That is how the significant differences in average salaries of men and women in this part of economy. However, this difference is especially expressed according to level of education of men and women, where women’s salaries with the same level of education are lower than men’s salaries with the same level of education. Now, these salaries are the most significant indicator of gender inequality, even in developed western democracies of Europe and America, where men and women on same working positions and with the same level of education have different salaries in favour of men. The aim of this paper is to determine quantitative differences in salaries according to gender and level of professional qualification in the tourism industry of Vojvodina (Serbia). The main methods used in this paper are: statistical, analytically synthetic and descriptive. The correlation analysis was very important, which was used to draw a connection between the ten-year statistical series in the period from 2008 to 2018.\",\"PeriodicalId\":9293,\"journal\":{\"name\":\"BSAVA Congress Proceedings 2019\",\"volume\":\"27 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-08-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"BSAVA Congress Proceedings 2019\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18509/gbp.2019.59\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"BSAVA Congress Proceedings 2019","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18509/gbp.2019.59","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
THE SALARIES OF EMPLOYEES IN TOURISM INDUSTRY OF VOJVODINA (SERBIA) AS A GENDER INEQUALITY INDICATOR
The position of men and women in the area of employment and work has a chain of specificities, which differ depending on the type of job. Tourism is a part of economy where the female workforce is more dominant, but the researches have shown that men and women are not equally distributed on all workplaces. Practice shows that men in most cases are employed in higher and better-paid positions. That is how the significant differences in average salaries of men and women in this part of economy. However, this difference is especially expressed according to level of education of men and women, where women’s salaries with the same level of education are lower than men’s salaries with the same level of education. Now, these salaries are the most significant indicator of gender inequality, even in developed western democracies of Europe and America, where men and women on same working positions and with the same level of education have different salaries in favour of men. The aim of this paper is to determine quantitative differences in salaries according to gender and level of professional qualification in the tourism industry of Vojvodina (Serbia). The main methods used in this paper are: statistical, analytically synthetic and descriptive. The correlation analysis was very important, which was used to draw a connection between the ten-year statistical series in the period from 2008 to 2018.