The Efficiency of Poultry Farms: A Dynamic Analysis Based on a Stochastic Frontier Approach and Panel Data
EU production is important for global poultry markets and is concentrated in a few countries, including Italy. The aim of this study is to investigate the technical efficiency of Italian poultry farms in 2019–2022, characterized by the COVID-19 pandemic and avian influenza, which occurred almost sim...
| Published in: | Animals |
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| Main Authors: | , , , , |
| Format: | Article |
| Language: | English |
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MDPI AG
2025-09-01
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| Online Access: | https://www.mdpi.com/2076-2615/15/19/2806 |
| _version_ | 1848757799616512000 |
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| author | Maria Bonaventura Forleo Paola Di Renzo Luca Romagnoli Vincenzo Giaccio Alfonso Scardera |
| author_facet | Maria Bonaventura Forleo Paola Di Renzo Luca Romagnoli Vincenzo Giaccio Alfonso Scardera |
| author_sort | Maria Bonaventura Forleo |
| collection | DOAJ |
| container_title | Animals |
| description | EU production is important for global poultry markets and is concentrated in a few countries, including Italy. The aim of this study is to investigate the technical efficiency of Italian poultry farms in 2019–2022, characterized by the COVID-19 pandemic and avian influenza, which occurred almost simultaneously and presented poultry farms with important economic challenges. In particular, this study aims to observe how efficiently poultry farms utilized their inputs with regards to controllable or managerial factors and exogenous shocks and factors beyond the firm’s control. Data was retrieved from the RICA database, the Italian section of the EU Farm Accountancy Data Network. After a descriptive analysis, a stochastic frontier model was applied to the panel data to estimate production frontier and firm-specific inefficiency factors. Results reveal the relevance of certain cost categories (feed, water, fuel, and electricity) and their increase over the observed period. Current and capital costs have positive and significant impacts on the value of production. As regards the determinants of technical efficiency, a greater endowment of some inputs (labor and farm area) and the sizes of farms in terms of livestock units are correlated with an improvement in the technical efficiency of farms. |
| format | Article |
| id | doaj-art-42eefc8094df4d4e8d0937f2dab23ff1 |
| institution | Directory of Open Access Journals |
| issn | 2076-2615 |
| language | English |
| publishDate | 2025-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| spelling | doaj-art-42eefc8094df4d4e8d0937f2dab23ff12025-10-15T12:42:53ZengMDPI AGAnimals2076-26152025-09-011519280610.3390/ani15192806The Efficiency of Poultry Farms: A Dynamic Analysis Based on a Stochastic Frontier Approach and Panel DataMaria Bonaventura Forleo0Paola Di Renzo1Luca Romagnoli2Vincenzo Giaccio3Alfonso Scardera4Department of Economics, University of Molise, Via De Sanctis, 86100 Campobasso, ItalyDepartment of Economics, University of Molise, Via De Sanctis, 86100 Campobasso, ItalyDepartment of Economics, University of Molise, Via De Sanctis, 86100 Campobasso, ItalyDepartment of Economics, University of Molise, Via De Sanctis, 86100 Campobasso, ItalyCouncil for Agricultural Research and Economics (CREA), Via G. Vico, 4, 86100 Campobasso, ItalyEU production is important for global poultry markets and is concentrated in a few countries, including Italy. The aim of this study is to investigate the technical efficiency of Italian poultry farms in 2019–2022, characterized by the COVID-19 pandemic and avian influenza, which occurred almost simultaneously and presented poultry farms with important economic challenges. In particular, this study aims to observe how efficiently poultry farms utilized their inputs with regards to controllable or managerial factors and exogenous shocks and factors beyond the firm’s control. Data was retrieved from the RICA database, the Italian section of the EU Farm Accountancy Data Network. After a descriptive analysis, a stochastic frontier model was applied to the panel data to estimate production frontier and firm-specific inefficiency factors. Results reveal the relevance of certain cost categories (feed, water, fuel, and electricity) and their increase over the observed period. Current and capital costs have positive and significant impacts on the value of production. As regards the determinants of technical efficiency, a greater endowment of some inputs (labor and farm area) and the sizes of farms in terms of livestock units are correlated with an improvement in the technical efficiency of farms.https://www.mdpi.com/2076-2615/15/19/2806poultry sectorfinancial itemstechnical inefficiencyfixed effectspanel dataFADN |
| spellingShingle | Maria Bonaventura Forleo Paola Di Renzo Luca Romagnoli Vincenzo Giaccio Alfonso Scardera The Efficiency of Poultry Farms: A Dynamic Analysis Based on a Stochastic Frontier Approach and Panel Data poultry sector financial items technical inefficiency fixed effects panel data FADN |
| title | The Efficiency of Poultry Farms: A Dynamic Analysis Based on a Stochastic Frontier Approach and Panel Data |
| title_full | The Efficiency of Poultry Farms: A Dynamic Analysis Based on a Stochastic Frontier Approach and Panel Data |
| title_fullStr | The Efficiency of Poultry Farms: A Dynamic Analysis Based on a Stochastic Frontier Approach and Panel Data |
| title_full_unstemmed | The Efficiency of Poultry Farms: A Dynamic Analysis Based on a Stochastic Frontier Approach and Panel Data |
| title_short | The Efficiency of Poultry Farms: A Dynamic Analysis Based on a Stochastic Frontier Approach and Panel Data |
| title_sort | efficiency of poultry farms a dynamic analysis based on a stochastic frontier approach and panel data |
| topic | poultry sector financial items technical inefficiency fixed effects panel data FADN |
| url | https://www.mdpi.com/2076-2615/15/19/2806 |
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