A dynamic adoption model with Bayesian learning: An application to U.S. soybean farmers
| Main Authors: | , |
|---|---|
| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Wiley
2015
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/150872 |
| _version_ | 1855526589677174784 |
|---|---|
| author | Ma, Xingliang Shi, Guanming |
| author_browse | Ma, Xingliang Shi, Guanming |
| author_facet | Ma, Xingliang Shi, Guanming |
| author_sort | Ma, Xingliang |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| format | Journal Article |
| id | CGSpace150872 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2015 |
| publishDateRange | 2015 |
| publishDateSort | 2015 |
| publisher | Wiley |
| publisherStr | Wiley |
| record_format | dspace |
| spelling | CGSpace1508722024-11-15T08:52:34Z A dynamic adoption model with Bayesian learning: An application to U.S. soybean farmers Ma, Xingliang Shi, Guanming agricultural technology technology transfer farmers soybeans innovation adoption structural dynamics genetically modified organisms structural change bayesian theory seed technology 2015-01-01 2024-08-01T02:54:07Z 2024-08-01T02:54:07Z Journal Article https://hdl.handle.net/10568/150872 en Limited Access Wiley Ma, Xingliang; and Shi, Guanming. 2015. A dynamic adoption model with Bayesian learning: An application to U.S. soybean farmers. Agricultural Economics 46(1): 25-38. https://doi.org/10.1111/agec.12124 |
| spellingShingle | agricultural technology technology transfer farmers soybeans innovation adoption structural dynamics genetically modified organisms structural change bayesian theory seed technology Ma, Xingliang Shi, Guanming A dynamic adoption model with Bayesian learning: An application to U.S. soybean farmers |
| title | A dynamic adoption model with Bayesian learning: An application to U.S. soybean farmers |
| title_full | A dynamic adoption model with Bayesian learning: An application to U.S. soybean farmers |
| title_fullStr | A dynamic adoption model with Bayesian learning: An application to U.S. soybean farmers |
| title_full_unstemmed | A dynamic adoption model with Bayesian learning: An application to U.S. soybean farmers |
| title_short | A dynamic adoption model with Bayesian learning: An application to U.S. soybean farmers |
| title_sort | dynamic adoption model with bayesian learning an application to u s soybean farmers |
| topic | agricultural technology technology transfer farmers soybeans innovation adoption structural dynamics genetically modified organisms structural change bayesian theory seed technology |
| url | https://hdl.handle.net/10568/150872 |
| work_keys_str_mv | AT maxingliang adynamicadoptionmodelwithbayesianlearninganapplicationtoussoybeanfarmers AT shiguanming adynamicadoptionmodelwithbayesianlearninganapplicationtoussoybeanfarmers AT maxingliang dynamicadoptionmodelwithbayesianlearninganapplicationtoussoybeanfarmers AT shiguanming dynamicadoptionmodelwithbayesianlearninganapplicationtoussoybeanfarmers |