Publication
Analysis of the inequality into distributions: an alternative approach to the Gini index applied to the spending environmental in EU
| datacite.subject.sdg | 04:Educação de Qualidade | pt_PT |
| datacite.subject.sdg | 08:Trabalho Digno e Crescimento Económico | pt_PT |
| dc.contributor.author | Seijas-Macias, Antonio | |
| dc.contributor.author | Oliveira, Amílcar | |
| dc.contributor.author | Oliveira, Teresa | |
| dc.date.accessioned | 2024-12-11T14:10:55Z | |
| dc.date.available | 2024-12-11T14:10:55Z | |
| dc.date.issued | 2023 | |
| dc.description.abstract | The Gini index is the most common tool to measure inequality into two distributions. Traditionally, the Gini index and the curve of Lorenz are focused on inequalities measures in the income distribution between countries or regions. But, in the last years, several authors have shown some limitations of the Gini index. In particular, it’s less sensitive to inequality at the tail of income distribution. This type of problem in the Gini index could produce two types of reactions: a new reinterpretation of the Gini index and the proposal of some alternative measures to it. In this paper, we follow the previous work using the Csiszar f-divergence to propose using the α-divergences approach to analyze the differences between the Gini index approach and these alternatives. The Gini index has been applied to the measure of resource inequalities. The AR-Gini is an area-based measure of resource inequality that estimates inequalities between neighbourhoods regarding the consumption of specific consumer goods (Druckman and Jackson, 2008). The AR-Gini could be a useful tool to monitor the distributional impacts of resource-related interventions, but this indicator presents the same overcomes as the Gini index. We can use the Gini concentration coefficient as a measure of the concentration of distribution of a random variable, especially applied to time series of data. In recent years, several studies have studied environmental spending in the European Union (EU). We focus our analysis on the distribution of this type of spending between the countries of the EU. The objective of this study is to show the differences in indexes applied to the study of the distribution of the distribution of monetary resources to environmental conservation and the extension of environmental protected areas into the countries of the European Union (EU). In our comparative study, we use the Gini index and the α-divergence measure and compare the results to get the most accurate measure of the equity of the distribution. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10400.2/16939 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.publisher | Universidade de Thessaly | pt_PT |
| dc.relation | Centre of Statistics and its Applications | |
| dc.relation.publisherversion | http://envecon.econ.uth.gr/main/eng/images/9th_conference/ENVECON9Proceedings.pdf | pt_PT |
| dc.relation.publisherversion | https://doi.org/10.54499/UIDB/00006/2020 | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | Gini Index | pt_PT |
| dc.subject | Gini coefficient | pt_PT |
| dc.subject | α-divergences | pt_PT |
| dc.subject | AR-Gini | pt_PT |
| dc.subject | Environmental protected areas | pt_PT |
| dc.subject | Conservation policies | pt_PT |
| dc.title | Analysis of the inequality into distributions: an alternative approach to the Gini index applied to the spending environmental in EU | pt_PT |
| dc.type | conference object | |
| dspace.entity.type | Publication | |
| oaire.awardTitle | Centre of Statistics and its Applications | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00006%2F2020/PT | |
| oaire.citation.conferencePlace | Volos, Grécia | pt_PT |
| oaire.citation.endPage | 286 | pt_PT |
| oaire.citation.startPage | 272 | pt_PT |
| oaire.citation.title | 9th Conference in Economics of Natural Resources and the Environment | pt_PT |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| person.familyName | Seijas-Macias | |
| person.familyName | Oliveira | |
| person.familyName | Oliveira | |
| person.givenName | J. Antonio | |
| person.givenName | Amilcar | |
| person.givenName | Teresa Azinheira | |
| person.identifier | 1155497 | |
| person.identifier.ciencia-id | 3717-BC82-53C2 | |
| person.identifier.ciencia-id | 7110-61B4-B87F | |
| person.identifier.ciencia-id | 8814-A54B-12DE | |
| person.identifier.orcid | 0000-0002-6056-3257 | |
| person.identifier.orcid | 0000-0001-5500-7742 | |
| person.identifier.orcid | 0000-0003-3283-9946 | |
| person.identifier.rid | J-3077-2019 | |
| person.identifier.scopus-author-id | 57194105655 | |
| person.identifier.scopus-author-id | 55675222550 | |
| person.identifier.scopus-author-id | 54403540300 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | conferenceObject | pt_PT |
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