Optimal design of culling compensation policy under the African swine fever — Based on simulations of typical pig farms in China
This paper aims to optimize the culling compensation policy from a micro perspective through scenario simulation. Based on an investigation of 273 pig farms in eight regions, four typical pig farms were constructed according to farm size and breeding mode, representing the swine producers in China....
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-02-01
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| Series: | Journal of Integrative Agriculture |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2095311922002866 |
| _version_ | 1811176444507717632 |
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| author | Shi-juan GUO Xin-ye LÜ Xiang-dong HU |
| author_facet | Shi-juan GUO Xin-ye LÜ Xiang-dong HU |
| author_sort | Shi-juan GUO |
| collection | DOAJ |
| description | This paper aims to optimize the culling compensation policy from a micro perspective through scenario simulation. Based on an investigation of 273 pig farms in eight regions, four typical pig farms were constructed according to farm size and breeding mode, representing the swine producers in China. Besides, a decision objective function of pig farms facing suspected African swine fever (ASF) outbreaks was constructed. This study used a mathematical programming model to design and simulate scenarios based on compensation standards and local implementation levels, aiming to incentivize pig farms to report epidemics. The results show that the optimal decisions on epidemic reports differed among typical farms and by herd daily age. The results suggest the following adjustments for optimizing culling compensation policies: (1) to set culling compensation standards based on the market value and (2) to maintain a high level of epidemic surveillance capability in the animal husbandry and veterinary sector. |
| first_indexed | 2024-04-10T19:51:34Z |
| format | Article |
| id | doaj.art-4c83d50ddbed43ca82582f642d245f5b |
| institution | Directory Open Access Journal |
| issn | 2095-3119 |
| language | English |
| last_indexed | 2024-04-10T19:51:34Z |
| publishDate | 2023-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Integrative Agriculture |
| spelling | doaj.art-4c83d50ddbed43ca82582f642d245f5b2023-01-28T04:07:40ZengElsevierJournal of Integrative Agriculture2095-31192023-02-01222611622Optimal design of culling compensation policy under the African swine fever — Based on simulations of typical pig farms in ChinaShi-juan GUO0Xin-ye LÜ1Xiang-dong HU2Institute of Agricultural Economics and Development, Chinese Academy of Agricultural Sciences, Beijing 100081, P.R.China; Institute of Agricultural Information and Economy, Shandong Academy of Agricultural Sciences, Jinan 250000, P.R.ChinaInstitute of Agricultural Economics and Development, Chinese Academy of Agricultural Sciences, Beijing 100081, P.R.ChinaInstitute of Agricultural Economics and Development, Chinese Academy of Agricultural Sciences, Beijing 100081, P.R.China; Correspondence HU Xiang-dongThis paper aims to optimize the culling compensation policy from a micro perspective through scenario simulation. Based on an investigation of 273 pig farms in eight regions, four typical pig farms were constructed according to farm size and breeding mode, representing the swine producers in China. Besides, a decision objective function of pig farms facing suspected African swine fever (ASF) outbreaks was constructed. This study used a mathematical programming model to design and simulate scenarios based on compensation standards and local implementation levels, aiming to incentivize pig farms to report epidemics. The results show that the optimal decisions on epidemic reports differed among typical farms and by herd daily age. The results suggest the following adjustments for optimizing culling compensation policies: (1) to set culling compensation standards based on the market value and (2) to maintain a high level of epidemic surveillance capability in the animal husbandry and veterinary sector.http://www.sciencedirect.com/science/article/pii/S2095311922002866culling compensationAfrican swine feverepidemic reportmathematical programming model |
| spellingShingle | Shi-juan GUO Xin-ye LÜ Xiang-dong HU Optimal design of culling compensation policy under the African swine fever — Based on simulations of typical pig farms in China Journal of Integrative Agriculture culling compensation African swine fever epidemic report mathematical programming model |
| title | Optimal design of culling compensation policy under the African swine fever — Based on simulations of typical pig farms in China |
| title_full | Optimal design of culling compensation policy under the African swine fever — Based on simulations of typical pig farms in China |
| title_fullStr | Optimal design of culling compensation policy under the African swine fever — Based on simulations of typical pig farms in China |
| title_full_unstemmed | Optimal design of culling compensation policy under the African swine fever — Based on simulations of typical pig farms in China |
| title_short | Optimal design of culling compensation policy under the African swine fever — Based on simulations of typical pig farms in China |
| title_sort | optimal design of culling compensation policy under the african swine fever based on simulations of typical pig farms in china |
| topic | culling compensation African swine fever epidemic report mathematical programming model |
| url | http://www.sciencedirect.com/science/article/pii/S2095311922002866 |
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