European agriculture under immigration effects:
New empirical evidence

https://doi.org/10.17221/69/2018-AGRICECONCitation:Cristea M., Noja G.G. (2019): European agriculture under immigration effects: New empirical evidence. Agric. Econ. – Czech, 65: 112-122.
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European agriculture is widely shaped under the compelling effects of international migration, both economic (labour) immigration and the refugee crisis. This complex endeavour could lead to significant spillover effects also upon the agricultural sectors in neighbouring locations, with different overall economic performances for migrant receiving countries. The research is thus set to assess the outcomes of the European agriculture under the impact of economic and humanitarian migration, focusing on the results achieved by ten EU Member States (most targeted by migrants), during 2000–2016. A balanced panel comprising a complex set of indicators was configured in order to provide accurate credentials for the methodological endeavour that consists of spatial analysis and structural equation modelling (SEM). Estimations show that the agricultural sector will be mainly shaped by economic immigration and less by the humanitarian flows. Major effects are induced through the value added by the agricultural sector, increases in exports of basic foods and agricultural raw materials (spatial analysis). However, a fail to properly manage the EU labour mobility for the following years could lead to a negative downturn on agricultural productivity (SEM).

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Vilija Alekneviciene, Birute Stareviciute, Egle Alekneviciute (2018): Evaluation of the efficiency of European Union farms: a risk-adjusted return approach. Agricultural Economics (Zemědělská ekonomika), 64, 241-255 https://doi.org/10.17221/272/2016-AGRICECON
 
Betz William, Simpson Nicole B (2013): The effects of international migration on the well-being of native populations in Europe. IZA Journal of Migration, 2, 12- https://doi.org/10.1186/2193-9039-2-12
 
ETH Swiss Federal Institute of Technology Zurich (ETH) (2017): Kof Index of Globalization. KOF Swiss Economic Institute. Available at http://globalization.kof.ethz.ch/ (accessed Dec 11, 2017).
 
European Commission (2018): Eurostat Database. Available at http://ec.europa.eu/eurostat (accessed Dec 09, 2017).
 
FAO (2017a): Food and Agriculture: Driving Action across the 2030 Agenda for Sustainable Development. FAO. Available at http://www.fao.org/3/a-i7454e.pdf (accessed Jan 05, 2018).
 
FAO (2017b): The future of Food and Agriculture – Trends and Challenges. FAO. Available at http://www.fao.org/3/a-i6583e.pdf (accessed Jan 05, 2018).
 
International Labour Organization (ILO) (2017): ILOSTAT. International Labour Organization. Available at http://www.ilo.org/global/statistics-and-databases/lang--en/index.htm (accessed May 03, 2018).
 
Nadezda Jankelova, Dusan Masar, Stefania Moricova (2017): Risk factors in the agriculture sector. Agricultural Economics (Zemědělská ekonomika), 63, 247-258 https://doi.org/10.17221/212/2016-AGRICECON
 
Jirasek M. (2017): The influence of national culture on changes in R&D expenses among agrochemical firms. Agricultural Economics – Czech, 63: 524–530.
 
McCarthy N., Carletto G., Davis B., Maltsoglou I. (2006): Assessing the Impact of Massive Out-Migration on Agriculture. FAO, Agricultural and Development Economics Division (ESA), Working Paper Series, Rome.
 
Miluka Juna, Carletto Gero, Davis Benjamin, Zezza Alberto (2010): The Vanishing Farms? The Impact of International Migration on Albanian Family Farming. Journal of Development Studies, 46, 140-161 https://doi.org/10.1080/00220380903197978
 
Noja Graţiela, Cristea Simona, Yüksel Atila, Pânzaru Ciprian, Drăcea Raluca (2018): Migrants’ Role in Enhancing the Economic Development of Host Countries: Empirical Evidence from Europe. Sustainability, 10, 894- https://doi.org/10.3390/su10030894
 
Anna Nowak, Agnieszka Kaminska (2016): Agricultural competitiveness: The case of the European Union countries  . Agricultural Economics (Zemědělská ekonomika), 62, 507-516 https://doi.org/10.17221/133/2015-AGRICECON
 
OECD (2005): Handbook on constructing composite indicators: Methodology and user guide. OECD Publishing, Paris, France.
 
OECD (2017): International Migration Outlook. Trends in migration flows. OECD Publishing, Paris, France. Available at http://dx.doi.org/10.1787/migr_outlook-2017-en (accessed Dec 14, 2017).
 
Marian Reiff, Zlatica Ivanicova, Kvetoslava Surmanova (2018): Cluster analysis of selected world development indicators in the fields of agriculture and the food industry in European Union countries. Agricultural Economics (Zemědělská ekonomika), 64, 197-205 https://doi.org/10.17221/198/2016-AGRICECON
 
Stojanovic-Blab M., Blab D., Spasic D. (2016): Sustainability reporting – a challenge for Serbian companies. Teme, 4: 1349–1366.
 
United Nations Conference on Trade and Development (UNCTAD) (2017): UNCTADstat. United Nations Conference on Trade and Development. Available at http://unctadstat.unctad.org/EN/ (accessed Dec 14, 2017).
 
Un Refugee Agency (UNHCR) (2017): Figures at a Glance 2017. Un Refugee Agency. Available at http://www.unhcr.org/figures-at-a-glance.html (accessed Jan 5, 2018).
 
Un Refugee Agency (UNHCR) (2018): Figures at a Glance 2018. Un Refugee Agency. Available at http://www.unhcr. org/figures-at-a-glance.html (accessed Sept, 2018).
 
Viton P.A. (2010): Notes on Spatial Econometric Models. City and Regional Planning, 870: 9–10.
 
World Bank (2017): World Development Indicators, Agricultural Inputs. World Bank. Available at http://wdi.worldbank.org/table/3.2 (accessed Jan 5, 2018).
 
supplementary materialdownload PDF

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