Income and Employment Dynamics in Europe

Cosci, Stefania; Sabato, Valentina

doi:10.1080/00343400600928376

Cited by 5 publications

(3 citation statements)

References 12 publications

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“…National-level factors affect regional economic resilience [55,56]; thus, a multilevel logistic regression was used in this study to assess determinants of regional economic resilience and regional resilience variance caused by disparities between provinces. This study used a nested structure, i.e., 284 cities (level 1) nested within 30 provinces (level 2).…”

Section: Methodsmentioning

confidence: 99%

Determinants of Regional Economic Resilience to Economic Crisis: Evidence from Chinese Economies

Wang

2022

Sustainability

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The severity of the 2007–2008 economic crisis and the spatial heterogeneity of its impact have accelerated the study of regional economic resilience. The economic crisis has affected most parts of the world, and its impact is highly heterogeneous within China. The aim of this study was to explore the determinants of regional economic resilience across 284 Chinese cities from 2003–2018. Both nation-based and province-based regional economic resilience were examined. A multilevel logistic regression model was established, finding a disparity of provincial effects on regional performance during the economic crisis. Regional economic resilience is significantly affected by provincial trajectories, economy size, and resources. There are five significant determinants of economic resilience: income inequality, innovation, government intervention, human capital, and financial development. The results provide evidence for the government to design region-based policies, taking into consideration the size and the resources of the region’s economy to build a resilient wall to defend against external shocks and to form a basis for sustainable development.

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Section: Methodsmentioning

confidence: 99%

Determinants of Regional Economic Resilience to Economic Crisis: Evidence from Chinese Economies

Wang

2022

Sustainability

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“…Regional economic resilience is affected by national-level effects (Cosci & Sabato, 2007; Ezcurra & Rapún, 2006), therefore, this study used multilevel logistic regression to explore influencing factors of economic resilience and resilience variance caused by disparities between provinces. The empirical framework of this study uses the nested structure of data set, that is, 284 cities (level 1) are nested within 30 provinces (level 2).…”

Section: Methodsmentioning

confidence: 99%

How Regions React to Economic Crisis: Regional Economic Resilience in a Chinese Perspective

Wang

2022

SAGE Open

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The severity of the 2007–2008 global financial crisis and the spatial heterogeneity of its impact have accelerated the study of regional economic resilience. However, few have investigated whether pre-crisis determinants impact regional economic resilience. This study explores the factors influencing regional economic resilience across 284 Chinese cities from 2003 to 2019. We use data from the National Bureau of Statistics in China and apply a multilevel logistic regression model. The results indicate the magnitude of the province effects on regional performance during the financial crisis. The results show that regional economic resilience is significantly shaped by provincial trajectories and region size. Furthermore, economic agglomeration, manufacturing, education, infrastructure, and financial development make regions less susceptible to external shocks and more resilient to financial crises. The results provide supportive evidence for governments to adopt region-based policies and thereby improve their performance.

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“…The main interest of research on employment in EU regions has been to test convergence theories and assess how change in economic structure and sectoral specialisation affects regional employment (e.g. Martin and Tyler, 2000;Marelli, 2004), or to link unemployment to increasing regional polarisation (Martin and Tyler, 2000;Overman and Puga, 2002;Cosci and Sabato, 2007).…”

Section: Research On Employment Generation In Eu Regionsmentioning

confidence: 99%

What drives employment growth and social inclusion in the regions of the European Union?

Cataldo

Rodríguez‐Pose

2017

Regional Studies

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The European Union promotes development strategies aimed at producing growth with "a strong emphasis on job creation and poverty reduction". However, whether the economic conditions in place in EU regions are ideal for the generation of high-and low-skilled employment and labour market inclusion is unclear. This paper assesses how the key factors behind EU growth strategiesinfrastructure, human capital, innovation, quality of governmentcondition employment generation and labour market exclusion in European regions. The findings indicate that the dynamics of employment and social exclusion vary depending on the conditions in place in a region. While higher innovation and education contribute to overall employment generation in some regional contexts, low-skilled employment grows the most in regions with a better quality of government. Regional public institutions, together with the endowment of human capital, emerge as the main factors for the reduction of labour market exclusionparticularly in the less developed regionsand the promotion of inclusive employment growth across Europe.

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Income and Employment Dynamics in Europe

Cited by 5 publications

References 12 publications

Determinants of Regional Economic Resilience to Economic Crisis: Evidence from Chinese Economies

Determinants of Regional Economic Resilience to Economic Crisis: Evidence from Chinese Economies

How Regions React to Economic Crisis: Regional Economic Resilience in a Chinese Perspective

What drives employment growth and social inclusion in the regions of the European Union?

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