Determinants of regional resilience to economic crisis: a European perspective

Giannakis, Elias; Bruggeman, Adriana

doi:10.1080/09654313.2017.1319464

Cited by 178 publications

(189 citation statements)

References 48 publications

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“…The majority of authors use univariate indices capturing changes in the level of economic activity (e.g., Crescenzi, Luca, & Milio, ; Fingleton, Garretsen, & Martin, ; Martin, ), even though there are also studies based on the information provided by composite indicators (e.g., Rizzi, Graziano, & Dallara, ; Staníčková & Melecký, ). Against this background, and taking into account the nature of our study, we resort to a widely used measure of regional resistance to recessionary shocks (Giannakis & Bruggeman, ; Lagravinese, ; Martin, Sunley, Gardiner, & Tyler, ):

R E S_{i} = \frac{normalΔ E_{i} - normalΔ E_{E U}}{false| normalΔ E_{E U} false|},

where Δ E i is the change in the employment rate in region i during the crisis period 2008–2013 (see Figure A1 in the online Appendix for further details). In turn, Δ E EU stands for the average variation in the employment rate in the EU regions between 2008 and 2013.…”

Section: Measuring Regional Resilience and Quality Of Governmentmentioning

confidence: 99%

“…The literature on regional economic resilience has considerably grown in recent years. From an empirical perspective, this literature has highlighted the relevance of different factors in shaping regional reactions to external shocks, including the sectoral composition of economic activity and its degree of diversity, the endowment of human capital, the intensity of innovation activities, labour market characteristics, urbanization patterns, or national macroeconomic conditions (e.g., Brakman, Garretsen, & van Marrewijk, ; Crescenzi, Di Cataldo, & Rodríguez‐Pose, ; Davies, ; Martin, ; Giannakis & Bruggeman, ). However, as far as we are aware, the potential influence of the quality of government on regional resilience has received no attention in this literature.…”

Section: Introductionmentioning

confidence: 99%

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Quality of government and regional resilience in the European Union. Evidence from the Great Recession

Ezcurra

Ríos

2019

Papers in Regional Science

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This paper examines the relationship between quality of government and regional resilience in the European Union during the Great Recession. The results show that the quality of government is an important factor when shaping the regional reaction to the crisis. Our estimates reveal that higher quality of government is associated with greater regional resilience over the Great Recession. This is partly due to the role played in this context by spatial spillovers induced by the quality of government in neighbouring regions. The observed link between governance and regional resilience is robust to the inclusion in the analysis of different explanatory variables that may affect both government quality and regional resilience. Likewise, our findings do not depend on the specific dimension of governance considered, the estimation method or the econometric specification employed to capture the nature of spatial spillovers.

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R E S_{i} = \frac{normalΔ E_{i} - normalΔ E_{E U}}{false| normalΔ E_{E U} false|},

Section: Measuring Regional Resilience and Quality Of Governmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Quality of government and regional resilience in the European Union. Evidence from the Great Recession

Ezcurra

Ríos

2019

Papers in Regional Science

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“…Lagravinese () provides evidence for Italian regions that those with a larger share of manufacturing suffered more than regions with a higher share of employment in the service sector. Giannakis and Bruggeman () show for European NUTS 2 regions that those with a high manufacturing share were less resilient, whereas those more specialized in services were more resilient. Cuadrado‐Roura and Maroto () show for Spanish NUTS 2 regions that productive specialization patterns are clearly related to the degree of regional resilience.…”

Section: Determinants Of Local Employment Growthmentioning

confidence: 99%

Local employment growth patterns and the Great Recession: The case of Spain

Holl

2018

Journal of Regional Science

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The 2008 financial and economic crisis has led to widespread destruction of employment in Spain. Using municipality data, I examine employment growth differences between urban cores, urban hinterlands, and rural areas during the pre‐crisis period and the recession period. The data show that patterns of growth and decline have been very uneven across different types of areas. While in the boom years, hinterlands and rural areas experienced higher growth, urban core areas have done better during the recession years. I then test three strands of explanations for local growth differences: (i) the role of the local sectoral composition, (ii) the role of human capital, and (iii) the role of access to urban core areas. Estimations for employment growth in the two periods show that the crisis has altered some of the drivers of local employment growth and that human capital has been a key determinant of local resilience during the Great Recession.

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“…Multilevel modelling is suitable when data are hierarchically structured, i.e., consisting of units grouped at different levels of a hierarchy [26]. Multilevel regression models are being increasingly applied in regional labour market studies [12] and rural development studies [27].…”

Section: Methodsmentioning

confidence: 99%

“…Over the last decade, European countries and regions have experienced a period of severe economic downturn [12]. Cyprus, along with Greece and Spain, experienced the largest losses in employment and economic output among European countries (Figure 1).…”

Section: Introductionmentioning

confidence: 99%

Off-Farm Employment and Economic Crisis: Evidence from Cyprus

2018

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Off-farm employment is an important strategy for complementing farm household income and maintaining rural livelihoods. A multilevel logistic regression model was applied to investigate the effect of farm-level and regional-level factors on off-farm employment in Cyprus during the recent economic crisis period. The performance of nonfarm sectors positively affects off-farm employment; a one-percent increase in the share of the secondary and tertiary sector employment increases the likelihood of off-farm work by 9.5 times. The importance of location was also identified. Farm households located in rural areas are 70% less likely to engage in off-farm work than households located in urban areas. The positive effect of educational attainment and the negative effect of farm training confirmed the importance of human capital characteristics on off-farm labour participation. Farm structural factors are also significant determinants of off-farm employment. A one-hectare increase in the farm size decreases the odds of off-farm labour participation by 50%. Operators of crop farming holdings are 4.2 times more likely to work off the farm than operators of livestock and mixed-farming holdings. The results reveal the importance of adopting a multilevel and integrated approach for the analysis of off-farm employment.

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Determinants of regional resilience to economic crisis: a European perspective

Cited by 178 publications

References 48 publications

Quality of government and regional resilience in the European Union. Evidence from the Great Recession

Quality of government and regional resilience in the European Union. Evidence from the Great Recession

Local employment growth patterns and the Great Recession: The case of Spain

Off-Farm Employment and Economic Crisis: Evidence from Cyprus

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