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Economic Dynamics and Sustainable Development – Resources, Factors, Structures and Policies

Proceedings ESPERA 2015 – Part 1 and Part 2

Edited By Luminita Chivu, Constantin Ciutacu, Valeriu Ioan-Franc and Jean-Vasile Andrei

The book is dedicated to the 150th anniversary of the Romanian Academy. It contains the most valuable 100 papers presented at the International Conference «Economic Scientific Research – Theoretical, Empirical and Practical Approaches» (ESPERA 2015). The event is initiated annually by the National Institute for Economic Research «Costin C. Kirițescu» of the Romanian Academy. ESPERA aim to present and evaluate the economic scientific research portfolio as well as to argue and substantiate development strategies, including European and global best practices. ESPERA intend to become a scientific support for the conceptualization and the establishment of policies and strategies and to provide a systematic, permanent, wide and challenging dialogue within the European area of economic and social research.

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Regional Emigration Drivers in Romania. Comparative Analysis of Short- and Long-Term Emigration (Zizi Goschin)


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Zizi Goschin1,2

Regional Emigration Drivers in Romania. Comparative Analysis of Short- and Long-Term Emigration

Abstract: Romania belongs in the top of European emigration countries and, regardless of whether the out-migration is unfolding on long- or short-term, its severe consequences make it a matter of interest for decision-makers and for the Romanian society at large. Empirical research on emigration drivers indicate that attempting to escape poverty and unemployment is at the background of many emigration decisions. Our goal is to explore some major causes of Romanian emigration from the perspective of the migrant’s region of origin (push factors): low development (measured by GDP/capita), unsatisfactory income (captured by average wage), high probability of unemployment (unemployment rate) and education. We include these indicators as explanatory variables in parallel regression models for long- or short-term emigration, using county level data. In order to account for spatial dependence, spatial lag and spatial error, models have been estimated, alongside classical regression. We exploit the new database issued by the National Institute of Statistics, resulting from the latest census, with the aim of finding similarities and dissimilarities between the Romanian long- and short-term emigration.

Keywords: Emigration; push factors; counties; Romania.

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