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Auteur S. Coderoni |
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Are rural regions prioritizing knowledge transfer and innovation? Evidence from Rural Development Policy expenditure across the EU space / A. Bonfiglio in Journal of rural studies, vol. 53 (01/07/2017)
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Titre : Are rural regions prioritizing knowledge transfer and innovation? Evidence from Rural Development Policy expenditure across the EU space Type de document : objet à 3 dimensions, artefacts, ... Auteurs : A. Bonfiglio ; S. Coderoni ; B. Camaioni Année de publication : 2017 Article en page(s) : p. 78-87 Langues : Anglais (eng) Langues originales : Anglais (eng) Catégories : F POPULATIONS - ETUDES DE CAS:D SOCIOLOGIE - ETHNOLOGIE - ANTHROPOLOGIE :4.45 Etablissements humains et utilisation des terres:Développement rural Mots-clés : KNOWLEDGE TRANSFER TRANSFERT DE CONNAISSANCES INNOVATION INNOVATION RURAL DEVELOPMENT REGIONAL ANALYSIS ANALYSE REGIONALE SPATIAL DISTRIBUTION DISTRIBUTION SPATIALE EUROPEAN UNION COUNTRIES PAYS DE L'UNION EUROPEENNE 05 - DEVELOPPEMENT RURAL 5.1 - Développement Résumé : Knowledge transfer and innovation (KT&I) are vital for sustainable rural development. European Rural Development Policy (RDP) has a long tradition of stimulating innovation in the rural space. In particular, in the 2007–2013 programming period, some measures have been explicitly targeted to support KT&I in agriculture and in rural economies. This paper aims to analyse the spatial distribution of the actual expenditure for measures promoting KT&I across the EU over the 2007–2011 period. In order to describe the main differences affecting the territorial allocation of this support, differences at rural development programming level are firstly taken into account. Then, the paper assesses “local” differences, i.e. those concerning the expenditure intensity at the NUTS 3 level. Findings point to an uneven and sometime low uptake of available opportunities. Imbalances come from both top-down political decisions and bottom-up capacity to attract and spend EU funds. In contrast with RDP objectives, the remotest and the most agricultural EU regions tend to show a lower expenditure intensity for KT&I measures. En ligne : https://doi.org/10.1016/j.jrurstud.2017.05.005 Permalink : https://cs.iut.univ-tours.fr/index.php?lvl=notice_display&id=248111
in Journal of rural studies > vol. 53 (01/07/2017) . - p. 78-87[article] Are rural regions prioritizing knowledge transfer and innovation? Evidence from Rural Development Policy expenditure across the EU space [objet à 3 dimensions, artefacts, ...] / A. Bonfiglio ; S. Coderoni ; B. Camaioni . - 2017 . - p. 78-87.
Langues : Anglais (eng) Langues originales : Anglais (eng)
in Journal of rural studies > vol. 53 (01/07/2017) . - p. 78-87
Catégories : F POPULATIONS - ETUDES DE CAS:D SOCIOLOGIE - ETHNOLOGIE - ANTHROPOLOGIE :4.45 Etablissements humains et utilisation des terres:Développement rural Mots-clés : KNOWLEDGE TRANSFER TRANSFERT DE CONNAISSANCES INNOVATION INNOVATION RURAL DEVELOPMENT REGIONAL ANALYSIS ANALYSE REGIONALE SPATIAL DISTRIBUTION DISTRIBUTION SPATIALE EUROPEAN UNION COUNTRIES PAYS DE L'UNION EUROPEENNE 05 - DEVELOPPEMENT RURAL 5.1 - Développement Résumé : Knowledge transfer and innovation (KT&I) are vital for sustainable rural development. European Rural Development Policy (RDP) has a long tradition of stimulating innovation in the rural space. In particular, in the 2007–2013 programming period, some measures have been explicitly targeted to support KT&I in agriculture and in rural economies. This paper aims to analyse the spatial distribution of the actual expenditure for measures promoting KT&I across the EU over the 2007–2011 period. In order to describe the main differences affecting the territorial allocation of this support, differences at rural development programming level are firstly taken into account. Then, the paper assesses “local” differences, i.e. those concerning the expenditure intensity at the NUTS 3 level. Findings point to an uneven and sometime low uptake of available opportunities. Imbalances come from both top-down political decisions and bottom-up capacity to attract and spend EU funds. In contrast with RDP objectives, the remotest and the most agricultural EU regions tend to show a lower expenditure intensity for KT&I measures. En ligne : https://doi.org/10.1016/j.jrurstud.2017.05.005 Permalink : https://cs.iut.univ-tours.fr/index.php?lvl=notice_display&id=248111 The farm-by-farm relationship among carbon productivity and economic performance of agriculture / S. Coderoni in Science of the Total Environment, vol. 819 (1 May 2022)
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Titre : The farm-by-farm relationship among carbon productivity and economic performance of agriculture Type de document : objet à 3 dimensions, artefacts, ... Auteurs : S. Coderoni ; S. Vanino Année de publication : 2022 Article en page(s) : p. 1-10 Langues : Anglais (eng) Langues originales : Anglais (eng) Catégories : A HISTOIRE - Pays et ensemble de pays:Histoire de l'Europe:Europe occidentale:Italie ; C ECONOMIE - ECONOMIE SOCIALE ET SOLIDAIRE:Economie:Conditions économiques:Comportement économique:Production:Productivité Mots-clés : 06 - AGRICULTURE. FORÊTS. PÊCHES 6.4 - Production Agricole. Système de Production COMPANY'S PERFORMANCE PERFORMANCE DE L'ENTREPRISE PRODUCTIVITY FARMS EXPLOITATION AGRICOLE GREENHOUSE GAZES GAZ A EFFET DE SERRE FARMING SYSTEM SYSTEME DE PRODUCTION ECONOMIC PERFORMANCE PERFORMANCE ECONOMIQUE IMPACT ASSESSMENT EVALUATION DE L'IMPACT ITALY Résumé : The mitigation of agricultural greenhouse gases emissions is a globally relevant environmental and policy issue. For efficient mitigation, it is important to appraise whether and how much these emissions are linked to the economic performance of farms. This study aims to reconstruct a Carbon Productivity (CP) indicator at the farm level to analyse its eventual relationship with the farm's economic performance as measured by its Farm Net Value Added (FNVA). This assessment could allow emerging win-win situations where more emission-efficient farms are also more economically viable. This study is conducted at the micro-level using individual farm data extracted from the Italian Farm Accountancy Data Network from 2008 to 2017. The estimation procedure is based on a dynamic panel model that exploits the wide heterogeneity of farms using structural and policy variables. Results show that the relationship between CP and FNVA is non-linear and changes among farm types. Overall, absolute higher levels of CP seem to be associated with better economic performance, suggesting a double-dividend path of green growth for agricultural production. Policy implications drawn suggest tailored intervention according to farm type. En ligne : https://doi.org/10.1016/j.scitotenv.2022.153103 Permalink : https://cs.iut.univ-tours.fr/index.php?lvl=notice_display&id=279742
in Science of the Total Environment > vol. 819 (1 May 2022) . - p. 1-10[article] The farm-by-farm relationship among carbon productivity and economic performance of agriculture [objet à 3 dimensions, artefacts, ...] / S. Coderoni ; S. Vanino . - 2022 . - p. 1-10.
Langues : Anglais (eng) Langues originales : Anglais (eng)
in Science of the Total Environment > vol. 819 (1 May 2022) . - p. 1-10
Catégories : A HISTOIRE - Pays et ensemble de pays:Histoire de l'Europe:Europe occidentale:Italie ; C ECONOMIE - ECONOMIE SOCIALE ET SOLIDAIRE:Economie:Conditions économiques:Comportement économique:Production:Productivité Mots-clés : 06 - AGRICULTURE. FORÊTS. PÊCHES 6.4 - Production Agricole. Système de Production COMPANY'S PERFORMANCE PERFORMANCE DE L'ENTREPRISE PRODUCTIVITY FARMS EXPLOITATION AGRICOLE GREENHOUSE GAZES GAZ A EFFET DE SERRE FARMING SYSTEM SYSTEME DE PRODUCTION ECONOMIC PERFORMANCE PERFORMANCE ECONOMIQUE IMPACT ASSESSMENT EVALUATION DE L'IMPACT ITALY Résumé : The mitigation of agricultural greenhouse gases emissions is a globally relevant environmental and policy issue. For efficient mitigation, it is important to appraise whether and how much these emissions are linked to the economic performance of farms. This study aims to reconstruct a Carbon Productivity (CP) indicator at the farm level to analyse its eventual relationship with the farm's economic performance as measured by its Farm Net Value Added (FNVA). This assessment could allow emerging win-win situations where more emission-efficient farms are also more economically viable. This study is conducted at the micro-level using individual farm data extracted from the Italian Farm Accountancy Data Network from 2008 to 2017. The estimation procedure is based on a dynamic panel model that exploits the wide heterogeneity of farms using structural and policy variables. Results show that the relationship between CP and FNVA is non-linear and changes among farm types. Overall, absolute higher levels of CP seem to be associated with better economic performance, suggesting a double-dividend path of green growth for agricultural production. Policy implications drawn suggest tailored intervention according to farm type. En ligne : https://doi.org/10.1016/j.scitotenv.2022.153103 Permalink : https://cs.iut.univ-tours.fr/index.php?lvl=notice_display&id=279742