Predispositions and challenges of agriculture from areas particularly facing natural or other specific constraints in Poland in the context of providing environmental public goods under EU policy

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Titel: Predispositions and challenges of agriculture from areas particularly facing natural or other specific constraints in Poland in the context of providing environmental public goods under EU policy
Autoren: Zieliński, Marek, Jadczyszyn, Jan, Sobierajewska, Jolanta
Quelle: Agricultural Economics (AGRICECON), Vol 69, Iss 8, Pp 309-320 (2023)
Verlagsinformationen: Czech Academy of Agricultural Sciences, 2023.
Publikationsjahr: 2023
Schlagwörter: 2. Zero hunger, agri-environment-climate measure (AECM), environmental public goods, logistic regression model, New Institutional Economics (NIE), organic farming measure, agri-environment-climate measure (aecm), new institutional economics (nie), 13. Climate action, 11. Sustainability, 1. No poverty, Agriculture, 15. Life on land
Beschreibung: The study’s main objective is to determine the predisposition and challenges of agriculture to provide environmental public goods to society in areas particularly facing natural or other specific constraints (ANCs) established within their current delimitation in Poland. Its organisational features, economic situation, and the degree of interest in measures specifically serving the protection of the natural environment under the Common Agriculture Policy (CAP) EU were indicated. Statistically significant factors determined farmers’ willingness to participate in these measures. It turned out that farms from ANCs communes with particularly difficult conditions significantly contribute to the total production potential of agriculture in Poland. However, compared to farms with better natural conditions, they are characterised by a lower income per 1 ha of utilised agriculture area (UAA) and a higher share of subsidies, including those for participation in environmental measures, which were implemented to a greater extent. Based on the logistic regression model, it was found that in ANCs communes with particularly difficult conditions, the most important factor of farmers’ greater willingness to implement environmental measures was their higher level of education. On the other hand, this inclination was negatively affected by the higher income adjusted for operating subsidies per 1 ha of UAA.
Publikationsart: Article
ISSN: 1805-9295
0139-570X
DOI: 10.17221/184/2023-agricecon
DOI: 10.5281/zenodo.8223994
DOI: 10.5281/zenodo.8223993
Zugangs-URL: https://doaj.org/article/1a5019b37f884c81aeec1e945ea73c04
Rights: CC BY NC
CC BY
Dokumentencode: edsair.doi.dedup.....ec76c25be89c04cdb1db53ff1ca5d6ff
Datenbank: OpenAIRE
Beschreibung
Abstract:The study’s main objective is to determine the predisposition and challenges of agriculture to provide environmental public goods to society in areas particularly facing natural or other specific constraints (ANCs) established within their current delimitation in Poland. Its organisational features, economic situation, and the degree of interest in measures specifically serving the protection of the natural environment under the Common Agriculture Policy (CAP) EU were indicated. Statistically significant factors determined farmers’ willingness to participate in these measures. It turned out that farms from ANCs communes with particularly difficult conditions significantly contribute to the total production potential of agriculture in Poland. However, compared to farms with better natural conditions, they are characterised by a lower income per 1 ha of utilised agriculture area (UAA) and a higher share of subsidies, including those for participation in environmental measures, which were implemented to a greater extent. Based on the logistic regression model, it was found that in ANCs communes with particularly difficult conditions, the most important factor of farmers’ greater willingness to implement environmental measures was their higher level of education. On the other hand, this inclination was negatively affected by the higher income adjusted for operating subsidies per 1 ha of UAA.
ISSN:18059295
0139570X
DOI:10.17221/184/2023-agricecon