Modifiable Areal Unit Problem (MAUP): Analysis of Agriculture of the State of Paraná-Brazil

The way the researcher groups his research data will influence the result of his work. In the literature, this phenomenon is treated as a Problem of the Modifiable Areal Unit. The objective of this article was to analyze the three spatial levels by Municipalities, Regional Centers and Mesoregions us...

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Bibliographic Details
Main Authors: Cima, E.G (Author), da Rocha-Junior, W.F (Author), Dalposso, G.H (Author), Uribe-Opazo, M.A (Author)
Format: Article
Language:English
Published: Faculty of Economics and Management 2021
Subjects:
Online Access:View Fulltext in Publisher
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008 220427s2021 CNT 000 0 und d
020 |a 18041930 (ISSN) 
245 1 0 |a Modifiable Areal Unit Problem (MAUP): Analysis of Agriculture of the State of Paraná-Brazil 
260 0 |b Faculty of Economics and Management  |c 2021 
856 |z View Fulltext in Publisher  |u https://doi.org/10.7160/aol.2021.130203 
520 3 |a The way the researcher groups his research data will influence the result of his work. In the literature, this phenomenon is treated as a Problem of the Modifiable Areal Unit. The objective of this article was to analyze the three spatial levels by Municipalities, Regional Centers and Mesoregions using the following data: gross domestic product, effective agricultural production, grain production and gross value of agricultural production for the state of Paraná-Brazil in the period since 2012 until 2015. The methodological procedure studied data from the Paranaense Institute for Economic and Social Development of the above-named variables collected on the website of the Paranaense Institute for Economic and Social Development of the 399 municipalities, 23 regional centers and 10 mesoregions. The results found show the presence of the Modifiable Areal Unit Problem, presenting different results for each level of grouping. The study revealed the problem of the modifiable areal unit is a relevant occurrence and it should be disregarded by researchers who work with clusters of spatial data in their studies. The results found allow a better understanding of the scale effect and demonstrate the efficiency of spatial analysis in socioeconomic data. © 2021, Agris On-line Papers in Economics and Informatics. All Rights Reserved. 
650 0 4 |a Aggregation 
650 0 4 |a agribusiness 
650 0 4 |a agricultural production 
650 0 4 |a agroindustry 
650 0 4 |a autocorrelation 
650 0 4 |a autocorrelation 
650 0 4 |a Brazil 
650 0 4 |a decision making 
650 0 4 |a decision making 
650 0 4 |a efficiency measurement 
650 0 4 |a Gross Domestic Product 
650 0 4 |a Parana [Brazil] 
650 0 4 |a research work 
650 0 4 |a scale effect 
650 0 4 |a spatial process 
700 1 |a Cima, E.G.  |e author 
700 1 |a da Rocha-Junior, W.F.  |e author 
700 1 |a Dalposso, G.H.  |e author 
700 1 |a Uribe-Opazo, M.A.  |e author 
773 |t Agris On-line Papers in Economics and Informatics