Climate shocks and fertilizer responses: Field-level evidence for rice production in Bangladesh
The fertilizer response of yield has been one of the major indicators of agricultural productivity in both developed and developing countries. Filling the evidence gap remains vital regarding fertilizer response in Asia, particularly in South Asia, given the evolution and emergence of new challenges...
| Main Authors: | , , |
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| Format: | Conference Paper |
| Language: | Inglés |
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International Association of Agricultural Economists
2024
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/151515 |
| _version_ | 1855541701655920640 |
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| author | Takeshima, Hiroyuki Kishore, Avinash Kumar, Anjani |
| author_browse | Kishore, Avinash Kumar, Anjani Takeshima, Hiroyuki |
| author_facet | Takeshima, Hiroyuki Kishore, Avinash Kumar, Anjani |
| author_sort | Takeshima, Hiroyuki |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The fertilizer response of yield has been one of the major indicators of agricultural productivity in both developed and developing countries. Filling the evidence gap remains vital regarding fertilizer response in Asia, particularly in South Asia, given the evolution and emergence of new challenges, including intensifying climate shocks. We aim to partly fill this knowledge gap by investigating the associations between climate shocks and fertilizer response in Bangladeshi rice production. Using three rounds of nationally representative farm household panel data with plot- level information, we assess fertilizer response functions regarding rice yield and how the shapes of these response functions are heterogeneous in relation to anomalies in temperatures, droughts, and rainfall. We find robust evidence that climate anomalies have adverse effects on fertilizer responses, including higher temperatures for the Boro and the Aman irrigated systems and higher temperatures and droughts for the Aman rainfed systems. These findings hold robustly under various fertilizer response function forms, i.e., polynomial function and stochastic Linear Response Plateau. Furthermore, results for stochastic Linear Response Plateau are also consistent for both switching regression type models and Bayesian regression models.
JEL Codes: Q01, Q12, Q01, Q19 |
| format | Conference Paper |
| id | CGSpace151515 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | International Association of Agricultural Economists |
| publisherStr | International Association of Agricultural Economists |
| record_format | dspace |
| spelling | CGSpace1515152025-04-08T18:30:03Z Climate shocks and fertilizer responses: Field-level evidence for rice production in Bangladesh Takeshima, Hiroyuki Kishore, Avinash Kumar, Anjani climate change crop production fertilizers rice The fertilizer response of yield has been one of the major indicators of agricultural productivity in both developed and developing countries. Filling the evidence gap remains vital regarding fertilizer response in Asia, particularly in South Asia, given the evolution and emergence of new challenges, including intensifying climate shocks. We aim to partly fill this knowledge gap by investigating the associations between climate shocks and fertilizer response in Bangladeshi rice production. Using three rounds of nationally representative farm household panel data with plot- level information, we assess fertilizer response functions regarding rice yield and how the shapes of these response functions are heterogeneous in relation to anomalies in temperatures, droughts, and rainfall. We find robust evidence that climate anomalies have adverse effects on fertilizer responses, including higher temperatures for the Boro and the Aman irrigated systems and higher temperatures and droughts for the Aman rainfed systems. These findings hold robustly under various fertilizer response function forms, i.e., polynomial function and stochastic Linear Response Plateau. Furthermore, results for stochastic Linear Response Plateau are also consistent for both switching regression type models and Bayesian regression models. JEL Codes: Q01, Q12, Q01, Q19 2024-08-04 2024-08-02T14:16:42Z 2024-08-02T14:16:42Z Conference Paper https://hdl.handle.net/10568/151515 en https://doi.org/10.1016/j.foodpol.2017.03.007 https://doi.org/10.1016/j.gfs.2020.100464 https://doi.org/10.1111/agec.12073 Open Access International Association of Agricultural Economists Takeshima, Hiroyuki; Kishore, Avinash; and Kumar, Anjani. 2024. Climate shocks and fertilizer responses: Field-level evidence for rice production in Bangladesh. 32nd International Conference of Agricultural Economists Conference, August 2-7, 2024, New Delhi, India. https://doi.org/10.22004/ag.econ.344280 |
| spellingShingle | climate change crop production fertilizers rice Takeshima, Hiroyuki Kishore, Avinash Kumar, Anjani Climate shocks and fertilizer responses: Field-level evidence for rice production in Bangladesh |
| title | Climate shocks and fertilizer responses: Field-level evidence for rice production in Bangladesh |
| title_full | Climate shocks and fertilizer responses: Field-level evidence for rice production in Bangladesh |
| title_fullStr | Climate shocks and fertilizer responses: Field-level evidence for rice production in Bangladesh |
| title_full_unstemmed | Climate shocks and fertilizer responses: Field-level evidence for rice production in Bangladesh |
| title_short | Climate shocks and fertilizer responses: Field-level evidence for rice production in Bangladesh |
| title_sort | climate shocks and fertilizer responses field level evidence for rice production in bangladesh |
| topic | climate change crop production fertilizers rice |
| url | https://hdl.handle.net/10568/151515 |
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