An econometric approach to factors affecting crop insurance in Romania

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dc.contributor.author Dragos, Simona Laura
dc.contributor.author Mare, Codruta
dc.contributor.other Ekonomická fakulta cs
dc.date.accessioned 2014-03-04
dc.date.available 2014-03-04
dc.identifier.issn 12123609
dc.identifier.uri https://dspace.tul.cz/handle/15240/6763
dc.description.abstract Crop insurance is a very well implemented mechanism in the economic and agricultural sectors of the developed countries. In the developing countries there are yet in practice traditional local systems of helping the other in the case of natural disasters. The transition to an organized system, based on buying insurance policies, is a very slow process and is, for the moment, used and accepted only by big land owners. The study based on a sample of 308 small farmers in Romania analyzes the factors influencing the decision of buying an insurance policy: age, education, size of the village, the proximity to a city, the type of culture, etc. The sampling method aimed at ensuring representativity on several levels: regional – villages from different counties; education – different levels of education for farmers and different fields of study; type of village – villages of different sizes and situated at various distances from towns; type of crop – farmers that mainly deal with vegetables, pomiculture, vine and field crops. Through two econometric models, Ordered Logit and Binary Logit, both the decision of buying an insurance policy and the type of insurance chosen (partial or full) are assessed. Results show a higher propensity towards using the insurance system in the case of younger farmers who have had access to tertiary education (especially in the field of economics and business), who live in big villages near important cities and who cultivate vegetables. Even though the study is regional, the emphasized mechanisms are universally valid and can be used by policymakers from developing economies. en
dc.format text
dc.format.extent 93-103 s. cs
dc.language.iso en
dc.publisher Technická Univerzita v Liberci cs
dc.publisher Technical university of Liberec, Czech Republic en
dc.relation.ispartof Ekonomie a Management cs
dc.relation.ispartof Economics and Management en
dc.relation.isbasedon ALMAJANU, F. Crop Insurance Market – between Potential and Reality. In Proceedings of Conference: The Development of the Romanian Agriculture. Bucharest, Romania: Romanian Banking Institute, 2011.
dc.relation.isbasedon BECIU, S., POPA, O., NISTOR, S. and OLTEANU, V. The socio-economic dimension of rural development for the North-East Region of Romania. African Journal of Agricultural Research. 2011, Vol. 6, Iss. 28, pp. 6042-6051. ISSN 1991-637X.
dc.relation.isbasedon BIELZA, M., CONTE, C., DITTMANN, CH., GALLEGO, J. and STROBLMAIR, J. Agricultural Insurance Schemes. Final Report. European Commission. Institute for the Protection and Security of the Citizen. Agriculture and Fishing. 2008. Unit: 517-569.
dc.relation.isbasedon BINSWANGER-MKHIZE, H.P. Is There Too Much Hype about Index-based Agricultural Insurance? Journal of Development Studies. 2012, Vol. 48, Iss. 2, pp. 187-200. ISSN 0022-0388.
dc.relation.isbasedon BOYD, M., PAI, J., QIAO, Z. and KE, W. Crop Insurance Principles and Risk Implications for China. Human and Ecological Risk Assessement: An International Journal. 2011, Vol. 17, Iss. 3, pp. 554-565. ISSN 1080-7039.
dc.relation.isbasedon BUENO-AGUILAR, G., ARJONA-SUAREZ, E. and SANTIAGO-ZARAGOZA, L. A simulation model for the analysis of new operating policies in a corn flour production plant. Agrociencia-Mexico. 2011, Vol. 45, Iss. 2, pp. 207-220. ISSN 1405-3195.
dc.relation.isbasedon CLIPICI, E. and FRANT, F. The Evolution of Agricultural Insurance Market. Agricultural Management. Banat’s University of Agricultural Science and Veterinary Medicine from Timisoara. 2013, Vol. 15, Iss. 3, pp. 1-8. ISSN 1453-1410.
dc.relation.isbasedon CRISTEA, M., DRACEA, R. and BUZIERNESCU, R. Possible Risk Coverage in Agriculture through Agricultural Insurances. Bulletin of University of Agricultural Sciences and Veterinaty Medicine Cluj-Napoca. Horticulture. 2006, Vol. 63, Iss. 1-2, pp. 157-162. ISSN 1843-5254.
dc.relation.isbasedon DICK, W.J.A. and WANG, W. Government Interventions in Agricultural Insurance. Agriculture and Agricultural Science Procedia. 2010, Vol. 1, pp. 4-12. ISSN 2210-7843.
dc.relation.isbasedon DINCĂ, D. Rural Administration in Romania: Evaluation of Current State. Transylvanian Review of Administrative Sciences. 2012, No. 36E, pp. 71-91. ISSN 1842-2845.
dc.relation.isbasedon DINU, V., SCHILERU, I. and ATANASE, A. Attitude of Romanian Consumers Related to Products’ Ecological Labelling. Amfiteatru Economic. 2012, Vol. 14, Iss. 31, pp. 8-24. ISSN 1582-9146.
dc.relation.isbasedon DRAGOS, C., VERES, V. Romanian Farmer’s Market. A Multinomial Logit Model Approach. Proceedings of Rijeka Faculty of Economics, Journal of Economics and Business. 2007, Vol. 25, Iss. 2, pp. 291-308. ISSN 1331-8004.
dc.relation.isbasedon ENJOLRAS, G. and SENTIS, P. Crop insurance policies and purchases in France. Agricultural Economics. 2011, Vol. 42, Iss. 4, pp. 475-486. ISSN 1574-0862.
dc.relation.isbasedon FURDU, I., TOMOZEI, C. and PANDELE, I. Improving Management of Risks and Natural Disasters by Regional GIS Distributed Application. Environmental Engineering and Management Journal. 2013, Vol. 12, Iss. 1, pp. 11-16. ISSN 1582-9596.
dc.relation.isbasedon GARDNER, B.L. and KRAMER, R.A. Experience with Crop Insurance Programs in the United States. In HAYELL, P., POMAREDA, C., VALDES, A. (Eds.). Crop Insurance for Agricultural Development. Baltimore: Johns Hopkins University Press, Maryland. 1986. pp. 195-222.
dc.relation.isbasedon GIRDZIUTE, L. and SLAVICKIENE, A. Decision making in agriculture and insurance as a risk management tool. Zemes Ukio Mokslai. 2012, Vol. 19, Iss. 1, pp. 45-52. ISSN 1392-0200.
dc.relation.isbasedon GOMEZ-LIMON, J., ARRIAZA, M. and RIESGO, L. An MCDM analysis of agricultural risk aver-sion. European Journal of Operational Research. 2003, Vol. 151, Iss. 3, pp. 569–585. ISSN 0377-2217.
dc.relation.isbasedon HARDAKER, J.B., RICHARDSON, J.W., LIEN, G. and SCHUMANN, K.D. Stochastic efficiency analysis with risk aversion bounds: a simplified approach. Australian Journal of Agricultural in Resource Economics. 2004, Vol. 48, Iss. 2, pp. 253-270. ISSN 1467-8489.
dc.relation.isbasedon MAKKI, S.S. Crop Insurance: Inherent Problems and Innovative Solutions. In TWEETEN, L. and THOMPSON, S.R. (Eds.). Agricultural Policy for the 21st Century. Ames, Iowa: Iowa State Press, 2008. ISBN 978-0813808994.
dc.relation.isbasedon MAKRIDAKIS, S., WHEELWRIGHT, S.C. and HYNDMAN, R.J. Forecasting – methods and application. 3rd ed. Chichester: John Wiley & Sons Inc, 1998. 656 p. ISBN 978-0471532330.
dc.relation.isbasedon MARE, C. Scenarios and Prospective Regarding the Euro Introduction on the Romanian Market. Gorizia, 2010. 250 p. Disertation Thesis (PhD.). International University Institute for European Studies. Available also from: http://hdl.handle.net/10077/3485.
dc.relation.isbasedon MITU, E.N. Agricultural Insurances in Romania: Present and Future Aspects [online]. Munich Personal RePEc Archive, 2007. Paper no. 10773. [cit 2013-11-10]. Available from: http://mpra.ub.uni-muenchen.de/10773/.
dc.relation.isbasedon NIEUWOUDT, W.L. An economic evaluation of a crop insurance programme for small-scale commercial farmers in South Africa. Agrekon. 2000, Vol. 39, Iss. 3, pp. 269-291. ISSN 0303-1853.
dc.relation.isbasedon NJEGOMIR, V. and STOJIC, D. Determinants of Non-Life Insurance Market Attractiveness for Foreign Investments: Eastern European Evidence. Economic Research – Ekonomska istraživanja. 2012, Vol. 25, Iss. 2, pp. 297-310. ISSN 1331-677X.
dc.relation.isbasedon RAHMAN, M.W., LUO, J. and CHENG, E. Policies and performances of agricultural/rural credit in Bangladesh: what is the influence on agricultural production? African Journal of Agricultural Research. 2011, Vol. 6, Iss. 31, pp. 6440-6452. ISSN 1991-637X.
dc.relation.isbasedon RAMIREZ-VALVERDE, G., ISLAS-MONROY, J.C. and RAMIREZ-VALVERDE, B. Spurious association in logistic time series binary regression models. Agrociencia-Mexico. 2011, Vol. 45, Iss. 5, pp. 583-591. ISSN 1405-3195.
dc.relation.isbasedon SAHAT, M. and PASARIBU, S.M. Developing rice farm insurance in Indonesia. Agriculture and Agricultural Science Procedia. 2010, Vol. 1, pp. 33-41. ISSN 2210-7843.
dc.relation.isbasedon SAI, T., YULIAN, W. and XIAOFENG, H. An empirical study of agricultural insurance – evidence from China. Agriculture and Agricultural Science Procedia. 2010, Vol. 1, pp. 62-66. ISSN 2210-7843.
dc.relation.isbasedon SAIKIA, D. Analyzing inter-sectoral linkages in India. African Journal of Agricultural Research. 2011, Vol. 6, Iss. 33, pp. 6766-6775. ISSN 1991-637X.
dc.relation.isbasedon SIFUENTES-AMAYA, R. and RAMIREZ-VALVERDE, G. Effects of specifying an incorrect model for logistic regression, with two independent correlated variables. Agrociencia-Mexico. 2010, Vol. 44, Iss. 2, pp. 197-207. ISSN 1405-3195.
dc.relation.isbasedon ȘTEFĂNESCU, F. A. D. Xenopol on the Means of Improving Agriculture and the Romanian Villages. Transylvanian Review. 2010, Vol. 3, pp. 50-61. ISSN 1221-1249.
dc.relation.isbasedon TOLEDO, R. and ENGLER, A. Risk preferences estimation for small raspberry producers in the Bio-Bio Region, Chile. Chilean Journal of Agricultural Research. 2008, Vol. 68, Iss. 2, pp. 175-182. ISSN 0365-2807.
dc.relation.isbasedon TURVEY, C.G. An Economic Analysis of Alternative Farm Revenue Insurance Policies. Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie. 1992, Vol. 40, Iss. 3, pp. 403-426. ISSN 1744-7976.
dc.relation.isbasedon VARGAS-LEITON, B. and CUEVAS-ABREGO, M. Stochastic model to estimate economic values of production and functional traits in diary cattle. Agrociencia-Mexico. 2009, Vol. 43, Iss. 8, pp. 881-893. ISSN 1405-3195.
dc.relation.isbasedon VASILE, E., BALAN, M., MITAN, D. and CROITORU, I. The restructuring of Romanian agriculture. Romanian Agricultural Research. 2011, Vol. 28, pp. 263-270. ISSN 1222-4227.
dc.relation.isbasedon VIDICAN, G. Assessing land reallocation decisions during transition in Romania. Land Use Policy. 2009, Vol. 26, pp. 1080-1089. ISSN 0264-8377.
dc.relation.isbasedon XU, P., KONG, X., ZHONG, Z. and WILLIAMS, L. Agricultural assistance in China: An analysis of farmers’ opinions. African Journal of Agricultural Research. 2011, Vol. 6, Iss. 30, pp. 6377-6386. ISSN 1991-637X.
dc.rights CC BY-NC
dc.subject Central and Eastern Europe en
dc.subject Stock market returns en
dc.subject Wavelets en
dc.subject Comovement en
dc.subject.classification C25
dc.subject.classification Q12
dc.subject.classification G22
dc.title An econometric approach to factors affecting crop insurance in Romania en
dc.type Article en
dc.date.defense 2014-03-04
dc.publisher.abbreviation TUL
dc.relation.isrefereed true
dc.identifier.doi 10.15240/tul/001/2014-1-008
dc.identifier.eissn 2336-5604
local.relation.volume 17
local.relation.issue 1
local.relation.abbreviation E&M en
local.relation.abbreviation E+M cs
local.faculty Faculty of Economics
local.citation.spage 93
local.citation.epage 103
local.access open
local.fulltext yes


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