The MAUP and the effect of industrial diversity on Brazilian regional economic stability
DOI:
https://doi.org/10.5433/2317-627X.2024.v12.n3.49941Keywords:
industrial diversity, economic stability, MAUP, geographic scales, spatial econometricsAbstract
The correlation between industrial diversity and regional economic stability is theoretically expected to be positive, suggesting that a region with greater industrial diversification will be less affected by exogenous shocks, resulting in less economic instability. Historically, however, empirical studies have produced mixed results, often finding a lack of significance in the correlation. Among the possible reasons that can lead to such divergence, this study focuses on the Modifiable Areal Unit Problem (MAUP), highlighting the importance of changes in geographic scale on the results due to spatial interference of data. To conduct this study, spatial econometrics and data from the RAIS and Demographic Census are used to collect information from Brazilian municipalities, micro-regions, and meso-regions between 2010 and 2019. The results show spatial influence at all geographic levels, as well as variation in the magnitude, significance and direction of the correlation depending on the scale used, confirming the hypothesis of MAUP in the study. Furthermore, the municipal level was the only one that presented results more consistent with the theory in the Brazilian case.
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References
ANSELIN, Luc. Spatial econometrics: methods and models. Springer Science & Business Media, 1988. DOI: https://doi.org/10.1007/978-94-015-7799-1
ANSELIN, Luc. Interactive techniques and exploratory spatial data analysis. 1996.
ANSELIN, Luc. Under the hood issues in the specification and interpretation of spatial regression models. Agricultural economics, v. 27, n. 3, p. 247-267, 2002. DOI: https://doi.org/10.1016/S0169-5150(02)00077-4
ANSELIN, Luc. Spatial externalities, spatial multipliers, and spatial econometrics. International regional science review, v. 26, n. 2, p. 153-166, 2003. DOI: https://doi.org/10.1177/0160017602250972
ATTARAN, Mohsen. Industrial diversity and economic performance in US areas. The Annals of Regional Science, v. 20, n. 2, p. 44-54, 1986. DOI: https://doi.org/10.1007/BF01287240
CARVALHO, A.; DA MATA, Daniel; RESENDE, Guilherme Mendes. Clusterização dos municípios brasileiros. Dinâmica dos municípios, p. 326-368, 2007.
CHEN, Jing. Economic Diversity and Regional Development: Geographical Scale, Structural Measurement, and Modeling Method. West Virginia University, 2018.
CHEN, Yanguang. New approaches for calculating Moran’s index of spatial autocorrelation. PloS one, v. 8, n. 7, p. e68336, 2013. DOI: https://doi.org/10.1371/journal.pone.0068336
CHINITZ, Benjamin. Contrasts in agglomeration: New york and pittsburgh. The American Economic Review, v. 51, n. 2, p. 279-289, 1961.
CONROY, Michael E. The concept and measurement of regional industrial diversification. Southern Economic Journal, p. 492-505, 1975. DOI: https://doi.org/10.2307/1056160
DARK, Shawna J; BRAM, Danielle. DARK, Shawna J.; BRAM, Danielle. The modifiable areal unit problem (MAUP) in physical geography. Progress in physical geography, v. 31, n. 5, p. 471-479, 2007. DOI: https://doi.org/10.1177/0309133307083294
DÍAZ DAPENA, Alberto; FERNÁNDEZ VÁZQUEZ, Esteban; RUBIERA MOROLLÓN, Fernando. Labor density and wages in Spain: Evidence from geographically disaggregated data. Growth and Change, v. 49, n. 1, p. 55-70, 2018. DOI: https://doi.org/10.1111/grow.12233
DELLER, Steven; WATSON, Philip. Spatial variations in the relationship between economic diversity and stability. Applied Economics Letters, v. 23, n. 7, p. 520-525, 2016. DOI: https://doi.org/10.1080/13504851.2015.1085630
DE VREYER, Philippe; SPIELVOGEL, Gilles. Spatial externalities between Brazilian municipios and their neighbours. IAI Discussion Papers, 2005.
DISSART, Jean Christophe. Regional economic diversity and regional economic stability: research results and agenda. International Regional Science Review, v. 26, n. 4, p. 423-446, 2003. DOI: https://doi.org/10.1177/0160017603259083
ELHORST, J. Paul et al. Spatial econometrics: from cross-sectional data to spatial panels. Heidelberg: Springer, 2014. DOI: https://doi.org/10.1007/978-3-642-40340-8
GLEASER, Edward L. et al. Growth in cities. Journal of political economy, v. 100, n. 6, p. 1126-1152, 1992. DOI: https://doi.org/10.1086/261856
GOODCHILD, Michael F. Scale in GIS: An overview. Geomorphology, v. 130, n. 1-2, p. 5-9, 2011. DOI: https://doi.org/10.1016/j.geomorph.2010.10.004
GOODCHILD, Michael F. et al. Toward spatially integrated social science. International Regional Science Review, v. 23, n. 2, p. 139-159, 2000. DOI: https://doi.org/10.1177/016001760002300201
HONG, Saheum; XIAO, Yu. The influence of multiple specializations on economic performance in US Metropolitan Areas. Sustainability, v. 8, n. 9, p. 963, 2016. DOI: https://doi.org/10.3390/su8090963
KEINATH JR, William F. The spatial component of the post-industrial society. Economic geography, v. 61, n. 3, p. 223-240, 1985. DOI: https://doi.org/10.2307/143559
KELEJIAN, Harry H.; PRUCHA, Ingmar R. A generalized spatial two-stage least squares procedure for estimating a spatial autoregressive model with autoregressive disturbances. The journal of real estate finance and economics, v. 17, p. 99-121, 1998.
KORT, John R. Regional economic instability and industrial diversification in the US. Land Economics, v. 57, n. 4, p. 596-608, 1981. DOI: https://doi.org/10.2307/3145674
KRUGMAN, Paul. Increasing returns and economic geography. Journal of political economy, v. 99, n. 3, p. 483-499, 1991. DOI: https://doi.org/10.1086/261763
KRUGMAN, Paul. Urban concentration: the role of increasing returns and transport costs. International Regional Science Review, v. 19, n. 1-2, p. 5-30, 1996. DOI: https://doi.org/10.1177/016001769601900202
KRUGMAN, Paul. What's new about the new economic geography?. Oxford review of economic policy, v. 14, n. 2, p. 7-17, 1998. DOI: https://doi.org/10.1093/oxrep/14.2.7
LESAGE, James P. The theory and practice of spatial econometrics. University of Toledo. Toledo, Ohio, v. 28, n. 11, p. 1-39, 1999.
LESAGE, J.; PACE, R. Introduction to spatial econometrics. crc press, boca raton. Introduction to spatial econometrics, v. 1, p. 01, 2009. DOI: https://doi.org/10.1201/9781420064254
MALIZIA, Emil E.; KE, Shanzi. The influence of economic diversity on unemployment and stability. Journal of Regional Science, v. 33, n. 2, p. 221-235, 1993. DOI: https://doi.org/10.1111/j.1467-9787.1993.tb00222.x
MIZUNO, Keizo; MIZUTANI, Fumitoshi; NAKAYAMA, Noriyoshi. Industrial diversity and metropolitan unemployment rate. The Annals of Regional Science, v. 40, p. 157-172, 2006. DOI: https://doi.org/10.1007/s00168-005-0046-2
NEVES, Mateus de Carvalho REIs; CASTRO, Lucas Siqueira de; FREITAS, Carlos Otávio de. O impacto das cooperativas na produção agropecuária brasileira: uma análise econométrica espacial. Revista de Economia e Sociologia Rural, v. 57, p. 559-576, 2019. DOI: https://doi.org/10.1590/1806-9479.2019.187145
OPENSHAW, Stan. The modifiable areal unit problem. Concepts and techniques in modern geography, 1984.
PORTER, Michael E. The competitive advantage of nations The Free Press. New York, v. 564, 1990. DOI: https://doi.org/10.1007/978-1-349-11336-1
PUGA, Diego; VENABLES, Anthony J. The spread of industry: spatial agglomeration in economic development. Journal of the Japanese and International Economies, v. 10, n. 4, p. 440-464, 1996. DOI: https://doi.org/10.1006/jjie.1996.0025
RESENDE, Guilherme Mendes. Multiple dimensions of regional economic growth: The Brazilian case, 1991− 2000. Papers in Regional Science, v. 90, n. 3, p. 629-662, 2011. DOI: https://doi.org/10.1111/j.1435-5957.2010.00336.x
SIEGEL, Paul B.; JOHNSON, Thomas G.; ALWANG, Jeffrey. Regional economic diversity and diversification. Growth and change, v. 26, n. 2, p. 261-284, 1995. DOI: https://doi.org/10.1111/j.1468-2257.1995.tb00171.x
SOUZA, Helson Gomes de et al. Uma análise espacial de como o crescimento e a desigualdade afetam a pobreza no Brasil. Revista de Administração Pública, v. 55, p. 459-482, 2021.
TOBLER, Waldo R. A computer movie simulating urban growth in the Detroit region. Economic geography, v. 46, n. sup1, p. 234-240, 1970. DOI: https://doi.org/10.2307/143141
TRENDLE, Bernard; SHORNEY, Gianna. The effect of industrial diversification on regional economic performance. Australasian Journal of Regional Studies, v. 9, n. 3, p. 355-369, 2003.
WAGNER, John E. Regional economic diversity: action, concept, or state of confusion. Journal of Regional analysis and policy, v. 30, n. 1100-2016-90005, 2000.
WAGNER, John E.; DELLER, Steven C. Measuring the effects of economic diversity on growth and stability. Land Economics, p. 541-556, 1998. DOI: https://doi.org/10.2307/3146884
WATSON, Philip; DELLER, Steven. Economic diversity, unemployment and the Great Recession. The Quarterly Review of Economics and Finance, v. 64, p. 1-11, 2017. DOI: https://doi.org/10.1016/j.qref.2016.12.003
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