Modelling Lithuanian family farms’ participation in agri-environmental subsidy schemes: a Neural Network Approach
Properly targeted agri-environmental subsidies (AES) can ensure the implementation of the European Green Deal goals. Hence, it is important to know what factors encourage family farms to participate in the AES schemes in order to select appropriate political tools and properly use the allocated subs...
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| Format: | Article |
| Language: | English |
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Universitat Politècnica de València
2023-12-01
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| Series: | Economía Agraria y Recursos Naturales |
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| Online Access: | https://polipapers.upv.es/index.php/EARN/article/view/19156 |
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| author | Kristina Gesevičienė Erika Besusparienė |
| author_facet | Kristina Gesevičienė Erika Besusparienė |
| author_sort | Kristina Gesevičienė |
| collection | DOAJ |
| description | Properly targeted agri-environmental subsidies (AES) can ensure the implementation of the European Green Deal goals. Hence, it is important to know what factors encourage family farms to participate in the AES schemes in order to select appropriate political tools and properly use the allocated subsidies. We propose a Multilayer Perceptron neural network to examine 34 Lithuanian crop family farms and identify the factors affecting their participation in the AES. The results indicate that the decision by the Lithuanian family farms regarding the participation mainly depends on a few factors, including the agricultural production output of the farm and farmers’ education, while other factors, such as farmer age and farm size, were less important. |
| format | Article |
| id | doaj-art-5ed74f400c304c6cb4c6713f265d4767 |
| institution | Kabale University |
| issn | 1578-0732 2174-7350 |
| language | English |
| publishDate | 2023-12-01 |
| publisher | Universitat Politècnica de València |
| record_format | Article |
| series | Economía Agraria y Recursos Naturales |
| spelling | doaj-art-5ed74f400c304c6cb4c6713f265d47672025-02-03T10:26:40ZengUniversitat Politècnica de ValènciaEconomía Agraria y Recursos Naturales1578-07322174-73502023-12-0123211714210.7201/earn.2023.02.0518348Modelling Lithuanian family farms’ participation in agri-environmental subsidy schemes: a Neural Network ApproachKristina Gesevičienė0https://orcid.org/0000-0002-1547-858XErika Besusparienė1https://orcid.org/0000-0001-5111-1307Vytautas Magnus UniversityVytautas Magnus University Properly targeted agri-environmental subsidies (AES) can ensure the implementation of the European Green Deal goals. Hence, it is important to know what factors encourage family farms to participate in the AES schemes in order to select appropriate political tools and properly use the allocated subsidies. We propose a Multilayer Perceptron neural network to examine 34 Lithuanian crop family farms and identify the factors affecting their participation in the AES. The results indicate that the decision by the Lithuanian family farms regarding the participation mainly depends on a few factors, including the agricultural production output of the farm and farmers’ education, while other factors, such as farmer age and farm size, were less important.https://polipapers.upv.es/index.php/EARN/article/view/19156agri-environmental subsidyagricultural practicescommon agricultural policyneural networkmultilayer perceptron |
| spellingShingle | Kristina Gesevičienė Erika Besusparienė Modelling Lithuanian family farms’ participation in agri-environmental subsidy schemes: a Neural Network Approach Economía Agraria y Recursos Naturales agri-environmental subsidy agricultural practices common agricultural policy neural network multilayer perceptron |
| title | Modelling Lithuanian family farms’ participation in agri-environmental subsidy schemes: a Neural Network Approach |
| title_full | Modelling Lithuanian family farms’ participation in agri-environmental subsidy schemes: a Neural Network Approach |
| title_fullStr | Modelling Lithuanian family farms’ participation in agri-environmental subsidy schemes: a Neural Network Approach |
| title_full_unstemmed | Modelling Lithuanian family farms’ participation in agri-environmental subsidy schemes: a Neural Network Approach |
| title_short | Modelling Lithuanian family farms’ participation in agri-environmental subsidy schemes: a Neural Network Approach |
| title_sort | modelling lithuanian family farms participation in agri environmental subsidy schemes a neural network approach |
| topic | agri-environmental subsidy agricultural practices common agricultural policy neural network multilayer perceptron |
| url | https://polipapers.upv.es/index.php/EARN/article/view/19156 |
| work_keys_str_mv | AT kristinageseviciene modellinglithuanianfamilyfarmsparticipationinagrienvironmentalsubsidyschemesaneuralnetworkapproach AT erikabesuspariene modellinglithuanianfamilyfarmsparticipationinagrienvironmentalsubsidyschemesaneuralnetworkapproach |