ANALYSIS OF DEVELOPMENT OF LOCAL SELF-GOVERNMENT UNITS IN VOJVODINA
Discriminant analysis and logistic regressions were applied in this research for the purpose of analyzing the development of autonomous province (AP) Vojvodina local self-government units, which are classified as developed and underdeveloped. The aim of the study is to identify population economic...
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| Format: | Article |
| Language: | English |
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Naučno društvo agrarnih ekonomista Balkana, Beograd; Institut za ekonomiku poljoprivrede, Beograd i Akademija ekonomskih nauka, Bukurešt
2020-06-01
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| Series: | Ekonomika Poljoprivrede (1979) |
| Subjects: | |
| Online Access: | https://www.ea.bg.ac.rs/index.php/EA/article/view/1747 |
| _version_ | 1797825210159726592 |
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| author | Dragana Tekić Beba Mutavdžić Tihomir Novaković Maja Pokuševski |
| author_facet | Dragana Tekić Beba Mutavdžić Tihomir Novaković Maja Pokuševski |
| author_sort | Dragana Tekić |
| collection | DOAJ |
| description |
Discriminant analysis and logistic regressions were applied in this research for the purpose of analyzing the development of autonomous province (AP) Vojvodina local self-government units, which are classified as developed and underdeveloped. The aim of the study is to identify population economic and social characteristics as the one with the most influence on the existence of differences between the observed categories of local self-government units. Based on the results of the discriminatory analysis, number of employed inhabitants per 1,000 inhabitants and number of highly educated inhabitants per 1000 inhabitants were found to have the greatest influence on the development of the local self-government unit, while based on logistic regression results, number of employed inhabitants per 1000 inhabitants and natural increase are the most influential factors. Both models have good data classification power, the discriminant analysis model successfully classifies 90.9% of all cases, and the logistic regression model successfully classifies 88.6% of cases.
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| first_indexed | 2024-03-13T10:50:41Z |
| format | Article |
| id | doaj.art-d42940d6c6a94c009b3f0862d451ccf1 |
| institution | Directory Open Access Journal |
| issn | 0352-3462 2334-8453 |
| language | English |
| last_indexed | 2024-03-13T10:50:41Z |
| publishDate | 2020-06-01 |
| publisher | Naučno društvo agrarnih ekonomista Balkana, Beograd; Institut za ekonomiku poljoprivrede, Beograd i Akademija ekonomskih nauka, Bukurešt |
| record_format | Article |
| series | Ekonomika Poljoprivrede (1979) |
| spelling | doaj.art-d42940d6c6a94c009b3f0862d451ccf12023-05-17T16:56:35ZengNaučno društvo agrarnih ekonomista Balkana, Beograd; Institut za ekonomiku poljoprivrede, Beograd i Akademija ekonomskih nauka, BukureštEkonomika Poljoprivrede (1979)0352-34622334-84532020-06-0167210.5937/ekoPolj2002431TANALYSIS OF DEVELOPMENT OF LOCAL SELF-GOVERNMENT UNITS IN VOJVODINADragana Tekić0Beba Mutavdžić1Tihomir Novaković2Maja Pokuševski3University of Novi Sad, Faculty of Agriculture, Novi SadUniversity of Novi Sad, Faculty of Agriculture, Novi SadUniversity of Novi Sad, Faculty of Agriculture, Novi SadMaster student, University of Novi Sad, University center of applied statistics, Novi Sad Discriminant analysis and logistic regressions were applied in this research for the purpose of analyzing the development of autonomous province (AP) Vojvodina local self-government units, which are classified as developed and underdeveloped. The aim of the study is to identify population economic and social characteristics as the one with the most influence on the existence of differences between the observed categories of local self-government units. Based on the results of the discriminatory analysis, number of employed inhabitants per 1,000 inhabitants and number of highly educated inhabitants per 1000 inhabitants were found to have the greatest influence on the development of the local self-government unit, while based on logistic regression results, number of employed inhabitants per 1000 inhabitants and natural increase are the most influential factors. Both models have good data classification power, the discriminant analysis model successfully classifies 90.9% of all cases, and the logistic regression model successfully classifies 88.6% of cases. https://www.ea.bg.ac.rs/index.php/EA/article/view/1747municipalitieslogistic regressiondiscriminant analysisprediction |
| spellingShingle | Dragana Tekić Beba Mutavdžić Tihomir Novaković Maja Pokuševski ANALYSIS OF DEVELOPMENT OF LOCAL SELF-GOVERNMENT UNITS IN VOJVODINA Ekonomika Poljoprivrede (1979) municipalities logistic regression discriminant analysis prediction |
| title | ANALYSIS OF DEVELOPMENT OF LOCAL SELF-GOVERNMENT UNITS IN VOJVODINA |
| title_full | ANALYSIS OF DEVELOPMENT OF LOCAL SELF-GOVERNMENT UNITS IN VOJVODINA |
| title_fullStr | ANALYSIS OF DEVELOPMENT OF LOCAL SELF-GOVERNMENT UNITS IN VOJVODINA |
| title_full_unstemmed | ANALYSIS OF DEVELOPMENT OF LOCAL SELF-GOVERNMENT UNITS IN VOJVODINA |
| title_short | ANALYSIS OF DEVELOPMENT OF LOCAL SELF-GOVERNMENT UNITS IN VOJVODINA |
| title_sort | analysis of development of local self government units in vojvodina |
| topic | municipalities logistic regression discriminant analysis prediction |
| url | https://www.ea.bg.ac.rs/index.php/EA/article/view/1747 |
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