Assessing and understanding the drivers of farm income risk: Evidence from Slovenia

The heterogeneity in income variability across Slovenian farms and time is explained by subsidies received by farm, off-farm income received by farm, and farm characteristics. Unbalanced and balanced farm-level panel data from the Slovenian farm accountancy data network are used to estimate coeffici...

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Main Authors: RACHA RAMADAN, RANA HOSNI
Format: Article
Language:English
Published: Bologna University press 2018-09-01
Series:New Medit
Subjects:
Online Access:https://newmedit.iamb.it/2018/09/15/assessing-and-understanding-the-drivers-of-farm-income-risk-evidence-from-slovenia/
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author RACHA RAMADAN
RANA HOSNI
author_facet RACHA RAMADAN
RANA HOSNI
author_sort RACHA RAMADAN
collection DOAJ
description The heterogeneity in income variability across Slovenian farms and time is explained by subsidies received by farm, off-farm income received by farm, and farm characteristics. Unbalanced and balanced farm-level panel data from the Slovenian farm accountancy data network are used to estimate coefficients of variation for gross farm revenues in less favoured areas (LFAs) and non-LFAs over the period 2004 to 2013. Gross farm income slightly increased over time with cyclical oscillations and an increase in the role of subsidies. Our estimations suggest that subsidies and off-farm income for non-LFA farms and farm specialisation for both LFA and non-LFA farms reduce farm income risk, whilst subsidies and farm size for LFA farms, and financial immobility for both LFA and non-LFA farms increase farm income risk. There is a non-linear relationship between farm size and income risk for LFA farms.
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spelling doaj.art-450a7c23d3f24982bd67e0a3cae0d2402023-12-02T17:47:21ZengBologna University pressNew Medit1594-56852611-11282018-09-0117310.30682/nm1803cAssessing and understanding the drivers of farm income risk: Evidence from SloveniaRACHA RAMADANRANA HOSNIThe heterogeneity in income variability across Slovenian farms and time is explained by subsidies received by farm, off-farm income received by farm, and farm characteristics. Unbalanced and balanced farm-level panel data from the Slovenian farm accountancy data network are used to estimate coefficients of variation for gross farm revenues in less favoured areas (LFAs) and non-LFAs over the period 2004 to 2013. Gross farm income slightly increased over time with cyclical oscillations and an increase in the role of subsidies. Our estimations suggest that subsidies and off-farm income for non-LFA farms and farm specialisation for both LFA and non-LFA farms reduce farm income risk, whilst subsidies and farm size for LFA farms, and financial immobility for both LFA and non-LFA farms increase farm income risk. There is a non-linear relationship between farm size and income risk for LFA farms.https://newmedit.iamb.it/2018/09/15/assessing-and-understanding-the-drivers-of-farm-income-risk-evidence-from-slovenia/governmental supportincome riskless-favoured areaoff-farm incomeslovenia
spellingShingle RACHA RAMADAN
RANA HOSNI
Assessing and understanding the drivers of farm income risk: Evidence from Slovenia
New Medit
governmental support
income risk
less-favoured area
off-farm income
slovenia
title Assessing and understanding the drivers of farm income risk: Evidence from Slovenia
title_full Assessing and understanding the drivers of farm income risk: Evidence from Slovenia
title_fullStr Assessing and understanding the drivers of farm income risk: Evidence from Slovenia
title_full_unstemmed Assessing and understanding the drivers of farm income risk: Evidence from Slovenia
title_short Assessing and understanding the drivers of farm income risk: Evidence from Slovenia
title_sort assessing and understanding the drivers of farm income risk evidence from slovenia
topic governmental support
income risk
less-favoured area
off-farm income
slovenia
url https://newmedit.iamb.it/2018/09/15/assessing-and-understanding-the-drivers-of-farm-income-risk-evidence-from-slovenia/
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