M. Kranjac, Uglješa Stankov, Jakob Salom, V. Tomašević, Srđan Tomić
{"title":"基于GIS的农业欧盟基金效果评价模型","authors":"M. Kranjac, Uglješa Stankov, Jakob Salom, V. Tomašević, Srđan Tomić","doi":"10.5937/GP23-21328","DOIUrl":null,"url":null,"abstract":"The European Union (EU) is giving significant financial support to member states through Common agricultural policy (CAP). The problem is that the effects of EU funds are not presented in the way that would allow wide auditorium to understand their benefits. This is very important because it explains where the money collected from the EU citizens is spent. The goal of this paper is to present a model of visualisation by using geographic information system (GIS) as an effective tool for simple analysis of administrative EU measures, taking into consideration multiple factors at once. Results gained by using GIS show that there is only 2 of 27 EU countries that present significant positive correlation between invested funds and agricultural outputs.","PeriodicalId":44646,"journal":{"name":"Geographica Pannonica","volume":null,"pages":null},"PeriodicalIF":1.2000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"GIS based model for evaluating effects of agricultural EU funds\",\"authors\":\"M. Kranjac, Uglješa Stankov, Jakob Salom, V. Tomašević, Srđan Tomić\",\"doi\":\"10.5937/GP23-21328\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The European Union (EU) is giving significant financial support to member states through Common agricultural policy (CAP). The problem is that the effects of EU funds are not presented in the way that would allow wide auditorium to understand their benefits. This is very important because it explains where the money collected from the EU citizens is spent. The goal of this paper is to present a model of visualisation by using geographic information system (GIS) as an effective tool for simple analysis of administrative EU measures, taking into consideration multiple factors at once. Results gained by using GIS show that there is only 2 of 27 EU countries that present significant positive correlation between invested funds and agricultural outputs.\",\"PeriodicalId\":44646,\"journal\":{\"name\":\"Geographica Pannonica\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.2000,\"publicationDate\":\"2019-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Geographica Pannonica\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5937/GP23-21328\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"GEOGRAPHY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geographica Pannonica","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5937/GP23-21328","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"GEOGRAPHY","Score":null,"Total":0}
GIS based model for evaluating effects of agricultural EU funds
The European Union (EU) is giving significant financial support to member states through Common agricultural policy (CAP). The problem is that the effects of EU funds are not presented in the way that would allow wide auditorium to understand their benefits. This is very important because it explains where the money collected from the EU citizens is spent. The goal of this paper is to present a model of visualisation by using geographic information system (GIS) as an effective tool for simple analysis of administrative EU measures, taking into consideration multiple factors at once. Results gained by using GIS show that there is only 2 of 27 EU countries that present significant positive correlation between invested funds and agricultural outputs.
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