Assessment of the buffering and adaptive mechanisms underlying the economic resilience of sheep-meat farms
Abstract The sustainability of livestock systems can be assessed through their productive and environmental performance, the ecosystem services they provide or their resilience to hazards. We used a modelling approach to assess how key economic performance indicators respond to technical and market...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Benoit, Marc [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2020 |
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| Schlagwörter: |
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| Anmerkung: |
© INRAE and Springer-Verlag France SAS, part of Springer Nature 2020 |
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| Übergeordnetes Werk: |
Enthalten in: Agronomy for sustainable development - Springer Paris, 2005, 40(2020), 5 vom: 27. Aug. |
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| Übergeordnetes Werk: |
volume:40 ; year:2020 ; number:5 ; day:27 ; month:08 |
| Links: |
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| DOI / URN: |
10.1007/s13593-020-00638-z |
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| Katalog-ID: |
OLC2127427556 |
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| 520 | |a Abstract The sustainability of livestock systems can be assessed through their productive and environmental performance, the ecosystem services they provide or their resilience to hazards. We used a modelling approach to assess how key economic performance indicators respond to technical and market hazards in five different meat-sheep farms, across France and Ireland. Hazards were related to seven technical or economic variables: ewe fertility, prolificacy, lamb mortality, prices of light and heavy lambs, concentrate use and energy use. We used a mechanistic model to simulate farm functioning and assess farm performance over 3000 iterations, based on simultaneous random draws with hazards to the previously mentioned seven variables. We quantified this way (i) the compensatory effects of different types of technical and economic mechanisms that lead to more stable economic performance and (ii) the probability of economic collapse of meat-sheep farms through a diachronic analysis. We showed that variations in technical variables have larger effects on income variability than variations in economic variables. We also showed that the most resilient systems, i.e. those with the lowest coefficient of variation of net income, are those that combine a low level of inputs with at least two lambing periods per year. Short duration of pregnancy in ewes makes multiperiod lambing possible, which can buffer the variability of technical variables and enhance the adaptive capability of the system by offering the possibility to move empty ewes to a new batch for re-mating. We thus analysed for the first time farm economic resilience to combined technical and economic hazards, and highlighted the buffer and adaptive mechanisms of resilience, with a mechanistic model. | ||
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| 700 | 1 | |a Sabatier, Rodolphe |4 aut | |
| 700 | 1 | |a Mosnier, Claire |4 aut | |
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10.1007/s13593-020-00638-z doi (DE-627)OLC2127427556 (DE-He213)s13593-020-00638-z-p DE-627 ger DE-627 rakwb eng 580 630 640 VZ 12 ssgn Benoit, Marc verfasserin (orcid)0000-0001-6190-866X aut Assessment of the buffering and adaptive mechanisms underlying the economic resilience of sheep-meat farms 2020 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © INRAE and Springer-Verlag France SAS, part of Springer Nature 2020 Abstract The sustainability of livestock systems can be assessed through their productive and environmental performance, the ecosystem services they provide or their resilience to hazards. We used a modelling approach to assess how key economic performance indicators respond to technical and market hazards in five different meat-sheep farms, across France and Ireland. Hazards were related to seven technical or economic variables: ewe fertility, prolificacy, lamb mortality, prices of light and heavy lambs, concentrate use and energy use. We used a mechanistic model to simulate farm functioning and assess farm performance over 3000 iterations, based on simultaneous random draws with hazards to the previously mentioned seven variables. We quantified this way (i) the compensatory effects of different types of technical and economic mechanisms that lead to more stable economic performance and (ii) the probability of economic collapse of meat-sheep farms through a diachronic analysis. We showed that variations in technical variables have larger effects on income variability than variations in economic variables. We also showed that the most resilient systems, i.e. those with the lowest coefficient of variation of net income, are those that combine a low level of inputs with at least two lambing periods per year. Short duration of pregnancy in ewes makes multiperiod lambing possible, which can buffer the variability of technical variables and enhance the adaptive capability of the system by offering the possibility to move empty ewes to a new batch for re-mating. We thus analysed for the first time farm economic resilience to combined technical and economic hazards, and highlighted the buffer and adaptive mechanisms of resilience, with a mechanistic model. Modelling Hazards Resilience Economics Joly, Frédéric aut Blanc, Fabienne aut Dumont, Bertrand aut Sabatier, Rodolphe aut Mosnier, Claire aut Enthalten in Agronomy for sustainable development Springer Paris, 2005 40(2020), 5 vom: 27. Aug. (DE-627)483301795 (DE-600)2182736-9 (DE-576)116898356 1774-0746 nnns volume:40 year:2020 number:5 day:27 month:08 https://doi.org/10.1007/s13593-020-00638-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-FRK SSG-OLC-FOR SSG-OLC-ROK AR 40 2020 5 27 08 |
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10.1007/s13593-020-00638-z doi (DE-627)OLC2127427556 (DE-He213)s13593-020-00638-z-p DE-627 ger DE-627 rakwb eng 580 630 640 VZ 12 ssgn Benoit, Marc verfasserin (orcid)0000-0001-6190-866X aut Assessment of the buffering and adaptive mechanisms underlying the economic resilience of sheep-meat farms 2020 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © INRAE and Springer-Verlag France SAS, part of Springer Nature 2020 Abstract The sustainability of livestock systems can be assessed through their productive and environmental performance, the ecosystem services they provide or their resilience to hazards. We used a modelling approach to assess how key economic performance indicators respond to technical and market hazards in five different meat-sheep farms, across France and Ireland. Hazards were related to seven technical or economic variables: ewe fertility, prolificacy, lamb mortality, prices of light and heavy lambs, concentrate use and energy use. We used a mechanistic model to simulate farm functioning and assess farm performance over 3000 iterations, based on simultaneous random draws with hazards to the previously mentioned seven variables. We quantified this way (i) the compensatory effects of different types of technical and economic mechanisms that lead to more stable economic performance and (ii) the probability of economic collapse of meat-sheep farms through a diachronic analysis. We showed that variations in technical variables have larger effects on income variability than variations in economic variables. We also showed that the most resilient systems, i.e. those with the lowest coefficient of variation of net income, are those that combine a low level of inputs with at least two lambing periods per year. Short duration of pregnancy in ewes makes multiperiod lambing possible, which can buffer the variability of technical variables and enhance the adaptive capability of the system by offering the possibility to move empty ewes to a new batch for re-mating. We thus analysed for the first time farm economic resilience to combined technical and economic hazards, and highlighted the buffer and adaptive mechanisms of resilience, with a mechanistic model. Modelling Hazards Resilience Economics Joly, Frédéric aut Blanc, Fabienne aut Dumont, Bertrand aut Sabatier, Rodolphe aut Mosnier, Claire aut Enthalten in Agronomy for sustainable development Springer Paris, 2005 40(2020), 5 vom: 27. Aug. (DE-627)483301795 (DE-600)2182736-9 (DE-576)116898356 1774-0746 nnns volume:40 year:2020 number:5 day:27 month:08 https://doi.org/10.1007/s13593-020-00638-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-FRK SSG-OLC-FOR SSG-OLC-ROK AR 40 2020 5 27 08 |
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10.1007/s13593-020-00638-z doi (DE-627)OLC2127427556 (DE-He213)s13593-020-00638-z-p DE-627 ger DE-627 rakwb eng 580 630 640 VZ 12 ssgn Benoit, Marc verfasserin (orcid)0000-0001-6190-866X aut Assessment of the buffering and adaptive mechanisms underlying the economic resilience of sheep-meat farms 2020 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © INRAE and Springer-Verlag France SAS, part of Springer Nature 2020 Abstract The sustainability of livestock systems can be assessed through their productive and environmental performance, the ecosystem services they provide or their resilience to hazards. We used a modelling approach to assess how key economic performance indicators respond to technical and market hazards in five different meat-sheep farms, across France and Ireland. Hazards were related to seven technical or economic variables: ewe fertility, prolificacy, lamb mortality, prices of light and heavy lambs, concentrate use and energy use. We used a mechanistic model to simulate farm functioning and assess farm performance over 3000 iterations, based on simultaneous random draws with hazards to the previously mentioned seven variables. We quantified this way (i) the compensatory effects of different types of technical and economic mechanisms that lead to more stable economic performance and (ii) the probability of economic collapse of meat-sheep farms through a diachronic analysis. We showed that variations in technical variables have larger effects on income variability than variations in economic variables. We also showed that the most resilient systems, i.e. those with the lowest coefficient of variation of net income, are those that combine a low level of inputs with at least two lambing periods per year. Short duration of pregnancy in ewes makes multiperiod lambing possible, which can buffer the variability of technical variables and enhance the adaptive capability of the system by offering the possibility to move empty ewes to a new batch for re-mating. We thus analysed for the first time farm economic resilience to combined technical and economic hazards, and highlighted the buffer and adaptive mechanisms of resilience, with a mechanistic model. Modelling Hazards Resilience Economics Joly, Frédéric aut Blanc, Fabienne aut Dumont, Bertrand aut Sabatier, Rodolphe aut Mosnier, Claire aut Enthalten in Agronomy for sustainable development Springer Paris, 2005 40(2020), 5 vom: 27. Aug. (DE-627)483301795 (DE-600)2182736-9 (DE-576)116898356 1774-0746 nnns volume:40 year:2020 number:5 day:27 month:08 https://doi.org/10.1007/s13593-020-00638-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-FRK SSG-OLC-FOR SSG-OLC-ROK AR 40 2020 5 27 08 |
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Agronomy for sustainable development |
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Agronomy for sustainable development |
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eng |
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2020 |
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Benoit, Marc Joly, Frédéric Blanc, Fabienne Dumont, Bertrand Sabatier, Rodolphe Mosnier, Claire |
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Benoit, Marc |
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10.1007/s13593-020-00638-z |
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(ORCID)0000-0001-6190-866X |
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580 630 640 |
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assessment of the buffering and adaptive mechanisms underlying the economic resilience of sheep-meat farms |
| title_auth |
Assessment of the buffering and adaptive mechanisms underlying the economic resilience of sheep-meat farms |
| abstract |
Abstract The sustainability of livestock systems can be assessed through their productive and environmental performance, the ecosystem services they provide or their resilience to hazards. We used a modelling approach to assess how key economic performance indicators respond to technical and market hazards in five different meat-sheep farms, across France and Ireland. Hazards were related to seven technical or economic variables: ewe fertility, prolificacy, lamb mortality, prices of light and heavy lambs, concentrate use and energy use. We used a mechanistic model to simulate farm functioning and assess farm performance over 3000 iterations, based on simultaneous random draws with hazards to the previously mentioned seven variables. We quantified this way (i) the compensatory effects of different types of technical and economic mechanisms that lead to more stable economic performance and (ii) the probability of economic collapse of meat-sheep farms through a diachronic analysis. We showed that variations in technical variables have larger effects on income variability than variations in economic variables. We also showed that the most resilient systems, i.e. those with the lowest coefficient of variation of net income, are those that combine a low level of inputs with at least two lambing periods per year. Short duration of pregnancy in ewes makes multiperiod lambing possible, which can buffer the variability of technical variables and enhance the adaptive capability of the system by offering the possibility to move empty ewes to a new batch for re-mating. We thus analysed for the first time farm economic resilience to combined technical and economic hazards, and highlighted the buffer and adaptive mechanisms of resilience, with a mechanistic model. © INRAE and Springer-Verlag France SAS, part of Springer Nature 2020 |
| abstractGer |
Abstract The sustainability of livestock systems can be assessed through their productive and environmental performance, the ecosystem services they provide or their resilience to hazards. We used a modelling approach to assess how key economic performance indicators respond to technical and market hazards in five different meat-sheep farms, across France and Ireland. Hazards were related to seven technical or economic variables: ewe fertility, prolificacy, lamb mortality, prices of light and heavy lambs, concentrate use and energy use. We used a mechanistic model to simulate farm functioning and assess farm performance over 3000 iterations, based on simultaneous random draws with hazards to the previously mentioned seven variables. We quantified this way (i) the compensatory effects of different types of technical and economic mechanisms that lead to more stable economic performance and (ii) the probability of economic collapse of meat-sheep farms through a diachronic analysis. We showed that variations in technical variables have larger effects on income variability than variations in economic variables. We also showed that the most resilient systems, i.e. those with the lowest coefficient of variation of net income, are those that combine a low level of inputs with at least two lambing periods per year. Short duration of pregnancy in ewes makes multiperiod lambing possible, which can buffer the variability of technical variables and enhance the adaptive capability of the system by offering the possibility to move empty ewes to a new batch for re-mating. We thus analysed for the first time farm economic resilience to combined technical and economic hazards, and highlighted the buffer and adaptive mechanisms of resilience, with a mechanistic model. © INRAE and Springer-Verlag France SAS, part of Springer Nature 2020 |
| abstract_unstemmed |
Abstract The sustainability of livestock systems can be assessed through their productive and environmental performance, the ecosystem services they provide or their resilience to hazards. We used a modelling approach to assess how key economic performance indicators respond to technical and market hazards in five different meat-sheep farms, across France and Ireland. Hazards were related to seven technical or economic variables: ewe fertility, prolificacy, lamb mortality, prices of light and heavy lambs, concentrate use and energy use. We used a mechanistic model to simulate farm functioning and assess farm performance over 3000 iterations, based on simultaneous random draws with hazards to the previously mentioned seven variables. We quantified this way (i) the compensatory effects of different types of technical and economic mechanisms that lead to more stable economic performance and (ii) the probability of economic collapse of meat-sheep farms through a diachronic analysis. We showed that variations in technical variables have larger effects on income variability than variations in economic variables. We also showed that the most resilient systems, i.e. those with the lowest coefficient of variation of net income, are those that combine a low level of inputs with at least two lambing periods per year. Short duration of pregnancy in ewes makes multiperiod lambing possible, which can buffer the variability of technical variables and enhance the adaptive capability of the system by offering the possibility to move empty ewes to a new batch for re-mating. We thus analysed for the first time farm economic resilience to combined technical and economic hazards, and highlighted the buffer and adaptive mechanisms of resilience, with a mechanistic model. © INRAE and Springer-Verlag France SAS, part of Springer Nature 2020 |
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Assessment of the buffering and adaptive mechanisms underlying the economic resilience of sheep-meat farms |
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Joly, Frédéric Blanc, Fabienne Dumont, Bertrand Sabatier, Rodolphe Mosnier, Claire |
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Joly, Frédéric Blanc, Fabienne Dumont, Bertrand Sabatier, Rodolphe Mosnier, Claire |
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| up_date |
2024-07-04T10:47:02.870Z |
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