Urban-Rural Labour Markets
Springer International Publishing (Verlag)
978-3-032-17591-5 (ISBN)
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Bridging theory and empirical analysis, this book offers a comprehensive and data-driven exploration of urban-rural labour markets across advanced economies, shedding light on their structure, efficiency, and evolving dynamics.
Through an extensive literature review and comparative statistical analysis, the book examines key indicators such as labour force participation, unemployment, productivity, and wages. It highlights regional disparities and convergence trends in advanced economies, while emphasizing the critical role of entrepreneurship in balancing labour supply and demand exploring both Schumpeterian innovation and necessity-driven enterprise.
A standout feature is a unique empirical study using Eurofound data, which investigates whether living in rural areas increases the likelihood of becoming an entrepreneur offering valuable insights into the potential for rural-urban convergence.
Concluding with forward-looking reflections and directions for future research, this volume is essential reading for scholars and students in economics, geography, sociology, and planning. It also serves as a vital resource for policymakers, regional planners, and practitioners engaged in shaping the future of spatial labour markets.
Luca Salvati is Associate Professor of Applied Economics at Sapienza University of Rome (Italy), where he also earned his Ph.D. in Economics. He has held research positions at Council for Research in Agriculture and the Analysis of Agricultural Economics (CREA), National Institute of Statistics (ISTAT), and collaborated with institutions such as National Research Council (CNR) and Higher Institute for Environmental Protection and Research (ISPRA). His expertise spans official and spatial statistics, GIS, remote sensing, and sustainable development. He has taught at several Italian universities and supervised numerous theses. With over 700 publications and a strong international research profile, he ranks among the top 2% of scientists globally in urban and regional planning.
Alessandro Muolo is a Ph.D. candidate and research fellow at Gran Sasso Science Institute, L Aquila, working closely with Luca Salvati. He holds an M.Sc. in Economics and has already published over 10 articles in peer-reviewed journals. His research focuses on spatial economics and environmental statistics, and he is quickly establishing himself as a promising scholar in the field.
Chapter 1. Unraveling the intrinsic complexity of regional labor markets.- Chapter 2. The labor market: a theoretical overview.- Chapter 3. The labor market: an empirical overview.- Chapter 4. The European labor market: stylized facts.- Chapter 5. Regional labor markets and the uneven growth of economic districts: fundamentals.- Chapter 6. Urban-rural labor markets: a theoretical perspective.- Chapter 7. Urban-rural labor markets: facts and findings.- Chapter 8. Regional labor markets, efficiency indicators, and the challenge of (local) official statistics.- Chapter 9. The role of self-employment in labor markets: a theoretical perspective.- Chapter 10. The role of self-employment in labor markets: an empirical perspective.- Chapter 11. Being self-employee in urban and rural areas: data sources and methodological approaches.- Chapter 12. Being self-employee in urban and rural areas: logical approach.- Chapter 13. Being self-employee in urban and rural areas: an empirical analysis.
| Erscheint lt. Verlag | 31.3.2026 |
|---|---|
| Reihe/Serie | Contributions to Economics |
| Zusatzinfo | Approx. 180 p. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Wirtschaft ► Volkswirtschaftslehre ► Makroökonomie |
| Schlagworte | Entrepreneurship • participation rate • Regional Economics • regional labour markets • Self-Employment • spatial labour disparities • Unemployment rate • urban-rural gradient • urban-rural labour markets |
| ISBN-10 | 3-032-17591-7 / 3032175917 |
| ISBN-13 | 978-3-032-17591-5 / 9783032175915 |
| Zustand | Neuware |
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