Regional Development Reconsidered (Advances in Spatial Science)

leondumoulin.nl: Regional Development Reconsidered (Advances in Spatial Science): Gündüz Atalik, Manfred M. Fischer.
Table of contents

Edward Elgar, Cheltenham, UK, Fratesi, Ugo and Senn, Lanfranco, eds.

Growth and Innovation of Competitive Regions: Advances in spatial science. Springer-Verlag, Berlin, Germany, Czech Journal of Economics and Finance , 59 1. Government and Policy , 26 1. New Directions in Economic Geography.

New horizons in regional science. Corruption and the economic role of the state Governance , 20 2.

Reconsidering Zipf’s law for regional development: The case of settlements and cities in Croatia

Regional Studies , 41 9. Government and Policy , 25 4.

And is it bad? Environment and Planning A , 38 4. World Development , 34 7.

Rodriguez-Pose, Andres

On the social foundations of institutional change and its economic effects Economic Geography , 82 1. Kanbur, Ravi and Venables, Anthony J. Spatial Inequality and Development. Oxford University Press, Oxford, Eurobask, Bilbao, Spain, Environment and Planning A , 36 The impact of European structural funds in objective 1 regions Regional Studies , 38 1. I Sistemi di Produzione Locale in Europa. Il Mulino, Bologna, Italy. Government and Policy , 21 3. Instituto de Estudios Fiscales, Madrid, Spain, Local Production Systems in Europe. Local Production Systems in Europe: Working papers Dipartimento di Scienze Sociali, I.

Dipartimento di scienze sociali, I. Theory and empirical evidence Papers in Regional Science , 80 3. Editorial Complutense, Madrid, Spain, Estudios Territoriales , 31 Cuadrado Roura, Juan R. Hechos, Tendencias y Perspectivas. Government and Policy , 14 1. Sintesis, Madrid, Spain, Lezzi, Cecilia and Trono, Anna, eds. Prospettive Regionali Del Mercato Unico: Lecce, Hotel Tiziano, Visions and reality from a critical perspective Regional Politics and Policy , 4 2. Le cas espagnol Cities and Regions , 5. Cultura, Paisaje y Naturaleza.

01 Geospatial technoligies for Urban and Regional planning

Ediciones Universidad de Salamanca, Salamanca, Agglomeration effects within regional economic development of cities exist in central and south-eastern European countries Romisch The rank-size distribution of settlements and cities, and the analysis of the differences between the city proper and the urban agglomeration aim to provide an insight into these regional development differences. Auerbach was the first to suggest the formula for the size distribution of cities based on the Pareto distribution:. Smaller values of the Pareto coefficient imply that the urban system is highly concentrated.

On the other hand, higher values of the Pareto exponent imply more equality between cities and less hierarchy.

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Gabaix and Ibragimov showed that the previous standard approach for estimating the Pareto exponent provided biased estimations for small samples. This correction is optimal since it minimizes the small-sample bias in the OLS estimator. The corrected formula is presented in equation For the purpose of testing the aforementioned hypothesis, the sizes of settlements and cities were measured based on the administrative definition of the city, which encompassed urban, historical, natural, economic, and social definitions.

Both the city proper and the urban agglomerations were ranked according to their size, that is, by population Jiang and Jia The hypotheses were tested using methods of inferential statistics.

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The sample size comprised of 6, settlements with towns and the city of Zagreb. There was no issue with biased estimation. Rank is a sequential variable, and the size of the city in terms of population is a quantitative variable. The dependent variable in the analysis is the variable RANK, which takes the form of a natural logarithm. Regressions were made with respect to the different sizes of the independent variable SIZE and took the form of a natural logarithm.

Statistics that are available after show that the number of inhabitants in Croatia has been in constant decline Croatian Bureau of Statistics: Census of Population, Households and Dwellings This decline has been caused by the Croatian War of Independence, the low rate of both natural and economic growth, emigration, an aging population, etc.

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Croatian Bureau of Statistics: According to the census there were 6, settlements with cities, as well as the capital city of Zagreb, which holds special urban status in the Republic of Croatia. Settlements are divided up according to population size. There is a total of 6, settlements in Croatia. Of these settlements have no inhabitants; hence, there are 6, settlements with at least one inhabitant in Croatia. The hypotheses were tested on these 6, settlements with at least one inhabitant.

The majority of the settlements were populated by up to 1, inhabitants In comparison, the capital city of Zagreb comprises Table 1 Croatian settlement structure and population. Settlements without populations were not included in the analysis. Miscellanea Geographica 22, 1; Figure 1 shows the concave shape of the curve, especially with respect to the smaller sized settlement. OLS estimates show White heteroskedasticity — consistent standard errors and covariances; t-statistics in parentheses; at a level of 5 percent: The Pareto coefficient is Figure 2 shows the results of the regression analyses in which settlements with less than , , , and inhabitants were omitted consecutively.

R squared is 0. The values of the Pareto coefficients are b —1. The independent variable is significant for all cases at a significance level of 1 percent, while the value of R squared is very high above 0. The values of the Pareto coefficient are slightly higher than 1, which indicates that the concentration of settlements is high and uniformly distributed.

Hypothesis 1 was tested by calculating the Pareto coefficient in relation to different sizes of settlement based on 20 truncation points Figure 3. Figure 3 shows that the values of the Pareto coefficient equal 1 absolute term for settlements whose size is greater than inhabitants and inhabitants.


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For the area in between these two sizes the value of the Pareto coefficient is higher than 1 with a maximum value for settlement size above inhabitants. Therefore, Hypothesis 1 has been confirmed. Figure 3 Pareto coefficient and settlement size in Croatia Source: Rank-size distribution does not hold true for the lower and upper-tail of the settlement size distribution.