Convergence as a heterogeneous process: what can be learnt about convergence in EMU from regional experiences?

Firgo, Matthias; Huber, Peter

doi:10.1007/s10663-013-9242-y

Cited by 12 publications

(8 citation statements)

References 17 publications

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“…This variable has been recently identified as predictor for high regional performance in Crespo Cuaresma et al (2014) and Firgo -Huber (2014). OBJECTIVE_1 is equal to one if a region was an Objective 1 region during (part) of the period observed.…”

Section: Relating Outcome Competitiveness To Its Determinantsmentioning

confidence: 99%

Regional Competitiveness Under New Perspectives

Aiginger

Firgo

2015

SSRN Journal

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Section: Relating Outcome Competitiveness To Its Determinantsmentioning

confidence: 99%

Regional Competitiveness Under New Perspectives

Aiginger

Firgo

2015

SSRN Journal

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“…The quality of human capital and the specifics of the labour market (Hurju, 2015;Próchniak & Witkowski, 2013); 3. The complexity of economics and the structure of the economy (Mora, 2008;Mikulić et al, 2013;Firgo & Huber, 2014); 4. The resources of the natural environment (Salvati, 2014); 5.…”

Section: Theoretical Frameworkmentioning

confidence: 99%

Reducing the Development Gaps Between Regions in Poland With the Use of European Union Funds

Czudec

Kata

Wosiek

2019

Technological and Economic Development of Economy

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The paper evaluates the processes of regional income convergence in Poland. This new research approach involves an attempt to assess the process of convergence from the point of view of development gaps. Six key development gaps were considered in the region of Eastern Poland, which is a singular case, significantly different from other regions. A dynamic panel data model was applied to investigate the impact of EU funds on the progress made towards closing these development gaps. Among the analysed development gaps, only the structural gap was not reduced in the period 2004–2015. Studies have also revealed the different impact of structural funds on each category of development gaps (a positive impact on reducing the regional transport accessibility gap and the investment gap, but negative – on reducing the innovation gap). Research has suggested the need for a change in the structure of using EU funds in the period 2014–2020 to favour stronger support for entrepreneurship and the creation of new jobs. Greater stimulation of the economic structure of peripheral regions has been proposed as the prerequisite for the future reduction in the discrepancies between regions and for the intensification of convergence.

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“…The important role of initial real GDP per capita in shaping growth and convergence dynamics in the form of, for example, convergence clubs has been documented in many papers dealing with EU regions including Azomahou et al . (), Basile (), Firgo and Huber (), Fotopoulos (), or Petrakos et al . (). We use two measures for traffic accessibility of the region, one for accessibility via rail (accessrail) and one via the road network (accessroad).…”

Section: Datamentioning

confidence: 99%

“…Azomahou et al (2011),Basile (2008),Firgo and Huber (2014),Fotopoulos (2012), or Petrakos et al (2011.…”

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confidence: 99%

Heterogeneity and Spatial Dependence of Regional Growth in the EU: A Recursive Partitioning Approach

Wagner

Zeileis

2019

German Economic Review

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We use model‐based recursive partitioning to assess heterogeneity of growth and convergence processes based on economic growth regressions for 255 European Union NUTS2 regions from 1995 to 2005. Spatial dependencies are taken into account by augmenting the model‐based regression tree with a spatial lag. The starting point of the analysis is a human‐capital‐augmented Solow‐type growth equation similar in spirit to Mankiw et al. (1992, The Quarterly Journal of Economics, 107, 407–437). Initial GDP and the share of highly educated in the working age population are found to be important for explaining economic growth, whereas the investment share in physical capital is only significant for coastal regions in the PIIGS countries. For all considered spatial weight matrices recursive partitioning leads to a regression tree with four terminal nodes with partitioning according to (i) capital regions, (ii) non‐capital regions in or outside the so‐called PIIGS countries and (iii) inside the respective PIIGS regions furthermore between coastal and non‐coastal regions. The choice of the spatial weight matrix clearly influences the spatial lag parameter while the estimated slope parameters are very robust to it. This indicates that accounting for heterogeneity is an important aspect of modeling regional economic growth and convergence.

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Convergence as a heterogeneous process: what can be learnt about convergence in EMU from regional experiences?

Cited by 12 publications

References 17 publications

Regional Competitiveness Under New Perspectives

Regional Competitiveness Under New Perspectives

Reducing the Development Gaps Between Regions in Poland With the Use of European Union Funds

Heterogeneity and Spatial Dependence of Regional Growth in the EU: A Recursive Partitioning Approach

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