Regional Differentiation and Farm Exit: A Hierarchical Model for Tuscany
We analyse the exit behaviour of Tuscan farms during the period 2000–2007 both at the farm and the territorial level. The study combines data from the 2000 National Census of Agriculture and three waves of the ‘Farm Structure Surveys’. The exit probability of the resulting sample, composed of 3,187...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Stefani, Gianluca [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2016 |
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| Rechteinformationen: |
Nutzungsrecht: © 2015 The Agricultural Economics Society |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Journal of agricultural economics - Oxford : Wiley-Blackwell, 1954, 67(2016), 1, Seite 208-230 |
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| Übergeordnetes Werk: |
volume:67 ; year:2016 ; number:1 ; pages:208-230 |
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| DOI / URN: |
10.1111/1477-9552.12130 |
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OLC197175773X |
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| 520 | |a We analyse the exit behaviour of Tuscan farms during the period 2000–2007 both at the farm and the territorial level. The study combines data from the 2000 National Census of Agriculture and three waves of the ‘Farm Structure Surveys’. The exit probability of the resulting sample, composed of 3,187 farms, is estimated through a Bayesian hierarchical probit model. Our results show that exits reflect the size and type of holdings. Likelihood of exit is higher in areas of higher population density that are not classified as ‘urban’ areas. | ||
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10.1111/1477-9552.12130 doi PQ20160307 (DE-627)OLC197175773X (DE-599)GBVOLC197175773X (PRQ)c1750-2f959830cc5ae83e92ffeaae82568cdf737d9483a419f61a1c0352267d7253390 (KEY)0038539520160000067000100208regionaldifferentiationandfarmexitahierarchicalmod DE-627 ger DE-627 rakwb eng 630 ZDB Stefani, Gianluca verfasserin aut Regional Differentiation and Farm Exit: A Hierarchical Model for Tuscany 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier We analyse the exit behaviour of Tuscan farms during the period 2000–2007 both at the farm and the territorial level. The study combines data from the 2000 National Census of Agriculture and three waves of the ‘Farm Structure Surveys’. The exit probability of the resulting sample, composed of 3,187 farms, is estimated through a Bayesian hierarchical probit model. Our results show that exits reflect the size and type of holdings. Likelihood of exit is higher in areas of higher population density that are not classified as ‘urban’ areas. Nutzungsrecht: © 2015 The Agricultural Economics Society hierarchical probit model Farm exit farms and territorial data Farms Landi, Chiara oth Lombardi, Ginevra Virginia oth Rocchi, Benedetto oth Giampaolo, Sabina oth Enthalten in Journal of agricultural economics Oxford : Wiley-Blackwell, 1954 67(2016), 1, Seite 208-230 (DE-627)129971499 (DE-600)410345-2 (DE-576)015535258 0021-857X nnns volume:67 year:2016 number:1 pages:208-230 http://dx.doi.org/10.1111/1477-9552.12130 Volltext http://onlinelibrary.wiley.com/doi/10.1111/1477-9552.12130/abstract http://search.proquest.com/docview/1755402781 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-WIW SSG-OPC-FOR GBV_ILN_26 GBV_ILN_62 AR 67 2016 1 208-230 |
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10.1111/1477-9552.12130 doi PQ20160307 (DE-627)OLC197175773X (DE-599)GBVOLC197175773X (PRQ)c1750-2f959830cc5ae83e92ffeaae82568cdf737d9483a419f61a1c0352267d7253390 (KEY)0038539520160000067000100208regionaldifferentiationandfarmexitahierarchicalmod DE-627 ger DE-627 rakwb eng 630 ZDB Stefani, Gianluca verfasserin aut Regional Differentiation and Farm Exit: A Hierarchical Model for Tuscany 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier We analyse the exit behaviour of Tuscan farms during the period 2000–2007 both at the farm and the territorial level. The study combines data from the 2000 National Census of Agriculture and three waves of the ‘Farm Structure Surveys’. The exit probability of the resulting sample, composed of 3,187 farms, is estimated through a Bayesian hierarchical probit model. Our results show that exits reflect the size and type of holdings. Likelihood of exit is higher in areas of higher population density that are not classified as ‘urban’ areas. Nutzungsrecht: © 2015 The Agricultural Economics Society hierarchical probit model Farm exit farms and territorial data Farms Landi, Chiara oth Lombardi, Ginevra Virginia oth Rocchi, Benedetto oth Giampaolo, Sabina oth Enthalten in Journal of agricultural economics Oxford : Wiley-Blackwell, 1954 67(2016), 1, Seite 208-230 (DE-627)129971499 (DE-600)410345-2 (DE-576)015535258 0021-857X nnns volume:67 year:2016 number:1 pages:208-230 http://dx.doi.org/10.1111/1477-9552.12130 Volltext http://onlinelibrary.wiley.com/doi/10.1111/1477-9552.12130/abstract http://search.proquest.com/docview/1755402781 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-WIW SSG-OPC-FOR GBV_ILN_26 GBV_ILN_62 AR 67 2016 1 208-230 |
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10.1111/1477-9552.12130 doi PQ20160307 (DE-627)OLC197175773X (DE-599)GBVOLC197175773X (PRQ)c1750-2f959830cc5ae83e92ffeaae82568cdf737d9483a419f61a1c0352267d7253390 (KEY)0038539520160000067000100208regionaldifferentiationandfarmexitahierarchicalmod DE-627 ger DE-627 rakwb eng 630 ZDB Stefani, Gianluca verfasserin aut Regional Differentiation and Farm Exit: A Hierarchical Model for Tuscany 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier We analyse the exit behaviour of Tuscan farms during the period 2000–2007 both at the farm and the territorial level. The study combines data from the 2000 National Census of Agriculture and three waves of the ‘Farm Structure Surveys’. The exit probability of the resulting sample, composed of 3,187 farms, is estimated through a Bayesian hierarchical probit model. Our results show that exits reflect the size and type of holdings. Likelihood of exit is higher in areas of higher population density that are not classified as ‘urban’ areas. Nutzungsrecht: © 2015 The Agricultural Economics Society hierarchical probit model Farm exit farms and territorial data Farms Landi, Chiara oth Lombardi, Ginevra Virginia oth Rocchi, Benedetto oth Giampaolo, Sabina oth Enthalten in Journal of agricultural economics Oxford : Wiley-Blackwell, 1954 67(2016), 1, Seite 208-230 (DE-627)129971499 (DE-600)410345-2 (DE-576)015535258 0021-857X nnns volume:67 year:2016 number:1 pages:208-230 http://dx.doi.org/10.1111/1477-9552.12130 Volltext http://onlinelibrary.wiley.com/doi/10.1111/1477-9552.12130/abstract http://search.proquest.com/docview/1755402781 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-WIW SSG-OPC-FOR GBV_ILN_26 GBV_ILN_62 AR 67 2016 1 208-230 |
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10.1111/1477-9552.12130 doi PQ20160307 (DE-627)OLC197175773X (DE-599)GBVOLC197175773X (PRQ)c1750-2f959830cc5ae83e92ffeaae82568cdf737d9483a419f61a1c0352267d7253390 (KEY)0038539520160000067000100208regionaldifferentiationandfarmexitahierarchicalmod DE-627 ger DE-627 rakwb eng 630 ZDB Stefani, Gianluca verfasserin aut Regional Differentiation and Farm Exit: A Hierarchical Model for Tuscany 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier We analyse the exit behaviour of Tuscan farms during the period 2000–2007 both at the farm and the territorial level. The study combines data from the 2000 National Census of Agriculture and three waves of the ‘Farm Structure Surveys’. The exit probability of the resulting sample, composed of 3,187 farms, is estimated through a Bayesian hierarchical probit model. Our results show that exits reflect the size and type of holdings. Likelihood of exit is higher in areas of higher population density that are not classified as ‘urban’ areas. Nutzungsrecht: © 2015 The Agricultural Economics Society hierarchical probit model Farm exit farms and territorial data Farms Landi, Chiara oth Lombardi, Ginevra Virginia oth Rocchi, Benedetto oth Giampaolo, Sabina oth Enthalten in Journal of agricultural economics Oxford : Wiley-Blackwell, 1954 67(2016), 1, Seite 208-230 (DE-627)129971499 (DE-600)410345-2 (DE-576)015535258 0021-857X nnns volume:67 year:2016 number:1 pages:208-230 http://dx.doi.org/10.1111/1477-9552.12130 Volltext http://onlinelibrary.wiley.com/doi/10.1111/1477-9552.12130/abstract http://search.proquest.com/docview/1755402781 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-WIW SSG-OPC-FOR GBV_ILN_26 GBV_ILN_62 AR 67 2016 1 208-230 |
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10.1111/1477-9552.12130 doi PQ20160307 (DE-627)OLC197175773X (DE-599)GBVOLC197175773X (PRQ)c1750-2f959830cc5ae83e92ffeaae82568cdf737d9483a419f61a1c0352267d7253390 (KEY)0038539520160000067000100208regionaldifferentiationandfarmexitahierarchicalmod DE-627 ger DE-627 rakwb eng 630 ZDB Stefani, Gianluca verfasserin aut Regional Differentiation and Farm Exit: A Hierarchical Model for Tuscany 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier We analyse the exit behaviour of Tuscan farms during the period 2000–2007 both at the farm and the territorial level. The study combines data from the 2000 National Census of Agriculture and three waves of the ‘Farm Structure Surveys’. The exit probability of the resulting sample, composed of 3,187 farms, is estimated through a Bayesian hierarchical probit model. Our results show that exits reflect the size and type of holdings. Likelihood of exit is higher in areas of higher population density that are not classified as ‘urban’ areas. Nutzungsrecht: © 2015 The Agricultural Economics Society hierarchical probit model Farm exit farms and territorial data Farms Landi, Chiara oth Lombardi, Ginevra Virginia oth Rocchi, Benedetto oth Giampaolo, Sabina oth Enthalten in Journal of agricultural economics Oxford : Wiley-Blackwell, 1954 67(2016), 1, Seite 208-230 (DE-627)129971499 (DE-600)410345-2 (DE-576)015535258 0021-857X nnns volume:67 year:2016 number:1 pages:208-230 http://dx.doi.org/10.1111/1477-9552.12130 Volltext http://onlinelibrary.wiley.com/doi/10.1111/1477-9552.12130/abstract http://search.proquest.com/docview/1755402781 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-WIW SSG-OPC-FOR GBV_ILN_26 GBV_ILN_62 AR 67 2016 1 208-230 |
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Regional Differentiation and Farm Exit: A Hierarchical Model for Tuscany |
| abstract |
We analyse the exit behaviour of Tuscan farms during the period 2000–2007 both at the farm and the territorial level. The study combines data from the 2000 National Census of Agriculture and three waves of the ‘Farm Structure Surveys’. The exit probability of the resulting sample, composed of 3,187 farms, is estimated through a Bayesian hierarchical probit model. Our results show that exits reflect the size and type of holdings. Likelihood of exit is higher in areas of higher population density that are not classified as ‘urban’ areas. |
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We analyse the exit behaviour of Tuscan farms during the period 2000–2007 both at the farm and the territorial level. The study combines data from the 2000 National Census of Agriculture and three waves of the ‘Farm Structure Surveys’. The exit probability of the resulting sample, composed of 3,187 farms, is estimated through a Bayesian hierarchical probit model. Our results show that exits reflect the size and type of holdings. Likelihood of exit is higher in areas of higher population density that are not classified as ‘urban’ areas. |
| abstract_unstemmed |
We analyse the exit behaviour of Tuscan farms during the period 2000–2007 both at the farm and the territorial level. The study combines data from the 2000 National Census of Agriculture and three waves of the ‘Farm Structure Surveys’. The exit probability of the resulting sample, composed of 3,187 farms, is estimated through a Bayesian hierarchical probit model. Our results show that exits reflect the size and type of holdings. Likelihood of exit is higher in areas of higher population density that are not classified as ‘urban’ areas. |
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Regional Differentiation and Farm Exit: A Hierarchical Model for Tuscany |
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http://dx.doi.org/10.1111/1477-9552.12130 http://onlinelibrary.wiley.com/doi/10.1111/1477-9552.12130/abstract http://search.proquest.com/docview/1755402781 |
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false |
| author2 |
Landi, Chiara Lombardi, Ginevra Virginia Rocchi, Benedetto Giampaolo, Sabina |
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Landi, Chiara Lombardi, Ginevra Virginia Rocchi, Benedetto Giampaolo, Sabina |
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129971499 |
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oth oth oth oth |
| doi_str |
10.1111/1477-9552.12130 |
| up_date |
2024-07-03T20:39:39.063Z |
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1803591802227261440 |
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