E. Dumitru, Daniela Voicilă, Laurentiu Ionut Petre
{"title":"ESTIMATES REGARDING THE EVOLUTION OF THE LABOR FORCE IN AGRICULTURE AT THE LEVEL OF ROMANIA","authors":"E. Dumitru, Daniela Voicilă, Laurentiu Ionut Petre","doi":"10.24818/cafee/2020/9/02","DOIUrl":null,"url":null,"abstract":"The labor force in agriculture is an essential component of agriculture. The paper addresses the evolution of the number of employees in the period 2008-2019, at national level and in agriculture, forestry and fishing. Also, the evolution of the net earning in agriculture in the period 2008-2019 was analyzed. The aim of the paper is to identify the trend of the evolution of the number of employees in agriculture, as well as the net earnings in this sector, thus, based on these data we can estimate their evolution by 2030, using the Expert Modeler method (SPSS), and determining the main statistical indicators.","PeriodicalId":269913,"journal":{"name":"Proceedings of the International Conference Competitiveness of Agro-Food and Environmental Economy","volume":"27 23","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the International Conference Competitiveness of Agro-Food and Environmental Economy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24818/cafee/2020/9/02","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The labor force in agriculture is an essential component of agriculture. The paper addresses the evolution of the number of employees in the period 2008-2019, at national level and in agriculture, forestry and fishing. Also, the evolution of the net earning in agriculture in the period 2008-2019 was analyzed. The aim of the paper is to identify the trend of the evolution of the number of employees in agriculture, as well as the net earnings in this sector, thus, based on these data we can estimate their evolution by 2030, using the Expert Modeler method (SPSS), and determining the main statistical indicators.