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  • Search: subject:"Spatial Decomposition"
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Year of publication
Subject
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Asset protection problem 2 China 2 Emergency response vehicles 2 Input-output 2 Math-heuristic 2 Spatial decomposition 2 Wildfires 2 inequality 2 rural 2 spatial decomposition 2 Ländliches Einkommen 1 Northeast region 1 Northeastern Region 1 Regionale Einkommensverteilung 1 Spatial decomposition analysis 1 spatial decomposition analysis 1
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Online availability
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Free 6 CC license 1
Type of publication
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Article 3 Book / Working Paper 3
Type of publication (narrower categories)
All
Article in journal 2 Aufsatz in Zeitschrift 2 Article 1 Working Paper 1
Language
All
English 4 Portuguese 1 Undetermined 1
Author
All
Hearne, John 2 Nuraiman, Dian 2 Ozlen, Melih 2 Wan, Guanghua 2 Domingues, Edson 1 Domingues, Edson Paulo 1 Perobelli, Fernando 1 Perobelli, Fernando Salgueiro 1 Ribeiro, Luiz Carlos 1 Ribeiro, Luiz Carlos de Santana 1
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Institution
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Centro de Desenvolvimento e Planejamento Regional (Cedeplar), Universidade Federal de Minas Gerais 1 World Institute for Development Economic Research (UNU/WIDER), United Nations University 1
Published in...
All
Análise econômica : revista da Faculdade de Ciências Econômicas, Universidade Federal do Rio Grande do Sul 1 Operations Research Perspectives 1 Operations research perspectives 1 Textos para Discussão Cedeplar-UFMG 1 WIDER Research Paper 1 Working Paper Series / World Institute for Development Economic Research (UNU/WIDER), United Nations University 1
Source
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ECONIS (ZBW) 2 EconStor 2 RePEc 2
Showing 1 - 6 of 6
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A spatial decomposition based math-heuristic approach to the asset protection problem
Nuraiman, Dian; Ozlen, Melih; Hearne, John - In: Operations Research Perspectives 7 (2020), pp. 1-8
spatial decomposition based math-heuristic approach for the solution of large-scale APP's. The heuristic exploits the property …
Persistent link: https://www.econbiz.de/10012662801
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Cover Image
A spatial decomposition based math-heuristic approach to the asset protection problem
Nuraiman, Dian; Ozlen, Melih; Hearne, John - In: Operations research perspectives 7 (2020), pp. 1-8
spatial decomposition based math-heuristic approach for the solution of large-scale APP's. The heuristic exploits the property …
Persistent link: https://www.econbiz.de/10012198019
Saved in:
Cover Image
Disparidades intrarregionais na região nordeste do Brasil
Ribeiro, Luiz Carlos de Santana; Perobelli, Fernando … - In: Análise econômica : revista da Faculdade de Ciências … 37 (2019) 73, pp. 121-143
Persistent link: https://www.econbiz.de/10012216219
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Desigualdades intrarregionais na região nordeste: uma análise de decomposição espacial
Perobelli, Fernando; Domingues, Edson; Ribeiro, Luiz Carlos - Centro de Desenvolvimento e Planejamento Regional … - 2013
The aim of this paper is to investigate intraregional inequalities in the brazilian Northeast region, from the differentiation of its productive structure. For this, the analysis applies space decomposition inspired by Feldman et al. (1987) and adapted according to the proposed of Dietzenbacher...
Persistent link: https://www.econbiz.de/10010858853
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Regional income inequality in rural China, 1985 - 2002: Trends, causes and policy implications
Wan, Guanghua - 2007
This paper depicts the trend of regional inequality in rural China for the period 1985-2002. The total inequality is decomposed into the so-called within- and between-components when China is divided into three regional belts (east, central and west). A regression-based accounting framework is...
Persistent link: https://www.econbiz.de/10010284838
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Regional Income Inequality in Rural China, 1985-2002: Trends, Causes and Policy Implications
Wan, Guanghua - World Institute for Development Economic Research … - 2007
This paper depicts the trend of regional inequality in rural China for the period 1985-2002. The total inequality is decomposed into the so-called within- and between-components when China is divided into three regional belts (east, central and west). A regression-based accounting framework is...
Persistent link: https://www.econbiz.de/10005033093
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