Design of Homogeneous Territorial Units: A Methodological Proposal

One of the main questions to solve when analysing geographically added information consists of the design of territorial units adjusted to the objectives of the study. This is related with the reduction of the effects of the Modifiable Areal Unit Problem (MAUP). In this paper an optimisation model to solve regionalisation problems is proposed. This model seeks to reduce some disadvantages found in previous works about automated regionalisation tools.contiguity constraint, zone design, optimisation, modifiable areal unit problem

The modifiable areal unit problem in regional economics

There is a very well known fundamental problem in spatial data analysis namely that all results of quantitative methods are potencially influenced by the way of spatial delimitation. This problem is mostly called modifiable areal unit problem (MAUP). However, beside the rich tradition in the empirical spatial data analysis, the effect of MAUP on putting forward and testing a theory and the effect on model-building is an issue rarely investigated. The MAUP creates the need for the investigation of the connection between theories and data and the micro-macro dualism. My paper presents the epistemological background of the problem and gives illustrations of the negative consequences of ignoring them in regional macroeconomics.

The modifiable areal unit problem in regional economics

There is a very well known fundamental problem in spatial data analysis namely that all results of quantitative methods are potencially influenced by the way of spatial delimitation. This problem is mostly called modifiable areal unit problem (MAUP). However, beside the rich tradition in the empirical spatial data analysis, the effect of MAUP on putting forward and testing a theory and the effect on model-building is an issue rarely investigated. The MAUP creates the need for the investigation of the connection between theories and data and the micro-macro dualism. My paper presents the epistemological background of the problem and gives illustrations of the negative consequences of ignoring them in regional macroeconomics

The Geography of Urban Poverty

The Census Bureau reports poverty statistics annually based on American Community Survey (ACS) data. For the past two years this has included listing the ten places with the highest poverty rates and the ten with the lowest poverty rates. This study considers the interpretation of these statistics when different geographies form the analytical framework. As expected, interpretation of these statistics is influenced by the Modifiable Areal Unit Problem (MAUP) in geography

Dots to boxes: Do the size and shape of spatial units jeopardize economic geography estimations?

This paper evaluates, in the context of economic geography estimates, the magnitude of the distortions arising from the choice of zoning system, which is also known as the Modifiable Areal Unit Problem (MAUP). We consider three standard economic geography exercises (the analysis of spatial concentration, agglomeration economies, and trade determinants), using various French zoning systems differentiated according to the size and shape of spatial units, which are the two main determinants of the MAUP. While size matters a little, shape does so much less. Both dimensions seem to be of secondary importance compared to specification issues.MAUP ; concentration ;agglomeration ;wage equations ;gravity

DOTS TO BOXES: DO THE SIZE AND SHAPE OF SPATIAL UNITS JEOPARDIZE ECONOMIC GEOGRAPHY ESTIMATIONS?

This paper evaluates, in the context of economic geography estimates, the magnitude of the distortions arising from the choice of zoning system, which is also known as the Modifiable Areal Unit Problem (MAUP). We consider three standard economic geography exercises (the analysis of spatial concentration, agglomeration economies, and trade determinants), using various French zoning systems differentiated according to the size and shape of spatial units, which are the two main determinants of the MAUP. While size matters a little, shape does so much less. Both dimensions seem to be of secondary importance compared to specification issues.MAUP, concentration, agglomeration, wage equations, gravity

Testing for Clustering of Industries - Evidence from micro geographic data

We present a new statistical method that describes the localization patterns of industries in a continuous space. The proposed method does not divide space into subunits whereby it is not affected by the Modifiable Areal Unit Problem (MAUP). Our method fulfils all five criteria for a spatial statistical test of localization proposed by Duranton and Overman (2005) and improves them with respect to the significance of its results. Additionally, our test allows inference to the localization of highly clustered firms. Furthermore, the algorithm is efficient in its computation, which eases the usage in research

Detecting Spatial Clustering Using a Firm-Level Index

We present a new statistical method that detects industrial clusters at a firm level. The proposed method does not divide space into subunits whereby it is not affected by the Modifiable Areal Unit Problem (MAUP). Our metric differs both in its calculation and interpretation from existing distance-based metrics and shows four central properties that enable its meaningful usage for cluster analysis. The method fulfills all five criteria for a test of localization proposed by Duranton and Overman (2005)