Disproportionality Measures of Concentration, Specialization, and Localization

Bickenbach, Frank; Bode, Eckhardt

doi:10.1177/0160017608319589

Cited by 63 publications

(59 citation statements)

References 38 publications

(51 reference statements)

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“…In order to study the structural convergence/specialization, different dedicated indices may be used, such as the Krugman specialization index, the location quotient, structural coefficients, and other disproportionality measures [114][115][116]. Different trends in the European industries were revealed by empirical studies, such as the increase in regional industrial concentration of both declining traditional industries and the growing advanced sectors or the increase in regional specialization in manufacturing.…”

Section: In the European Union An Index Of Competitiveness Of The Rementioning

confidence: 99%

Some Perpetually Old and New Development Issues in the EU Regions: Competitiveness, Resilience, and Convergence: Where Do the New Member States Stand?

Iordan¹,

Chilian²

2017

Management of Cities and Regions

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Competitiveness, resilience, and convergence were topics that for decades were listed among the hot issues that have animated the scientific and political debates in the area of economic growth and economic development. For the new member states (NMS) of the European Union, which have accessed the Union since 2004, competitiveness and cohesion became from the first days of their EU membership key topics on their national policy agendas, both as directives of the EU policies to be transposed and implemented nationally and as genuine domestic concerns to be addressed by each of the NMS, while resilience revealed its importance a little bit later, on the occasion of the global economic crisis of 2008-2010 and subsequent recession. Considering their importance for the current and future socioeconomic development of the new member states, the authors present and briefly analyze the topics of competitiveness, resilience, and cohesion in a joint framework, at regional level, based on their common roots within the economic growth and development theories, with the help of a minimal, but powerful, set of relevant indicators, over three significant recent periods: ante-crisis, crisis, and post-crisis. The findings point toward both different and similar competitiveness, resilience, and convergence developments within the new member states and across countries, regions, and periods, also revealing growth and adaptation patterns similar to those found in the more developed regions and countries of the EU, especially in the wake of the global economic crisis.

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Section: In the European Union An Index Of Competitiveness Of The Rementioning

confidence: 99%

Some Perpetually Old and New Development Issues in the EU Regions: Competitiveness, Resilience, and Convergence: Where Do the New Member States Stand?

Iordan¹,

Chilian²

2017

Management of Cities and Regions

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“…Extensive overviews of different measures are given by Bickenbach and Bode (2008) and Fratesi (2008). All measures deal with relative concentration, as absolute concentration simply involves an employment count and cannot be compared in a meaningful way across areas (that differ in size).…”

Section: Literature On the Measurement Of Spatial Concentrationmentioning

confidence: 99%

“…All a-spatial measures share two well-known problems (Bickenbach and Bode, 2008), namely the modifiable areal unit problem (MAUP)and the checkerboard problem. Both result from the division of the total region into predefined areas.…”

Section: Literature On the Measurement Of Spatial Concentrationmentioning

confidence: 99%

Identification of Employment Concentration Areas

Heuvel

Langen

Donselaar

et al. 2012

European Planning Studies

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“…Second, the suitability of the specialization index selected has been discussed by several authors when determining specialization levels (Combes & Overman, 2004;Bickenbach & Bode, 2008). According to Bickenbach & Bode (2008), three features unambiguously define an inequality measure: regional weights, the reference distribution and the projection function.…”

Section: Introductionmentioning

confidence: 99%

“…According to Bickenbach & Bode (2008), three features unambiguously define an inequality measure: regional weights, the reference distribution and the projection function. However, the authors also note that in any empirical investigation, the specification of each feature should be determined by the research goal and should take into consideration the specificities of the available data.…”

Section: Introductionmentioning

confidence: 99%