Impact of adoption of fall armyworm and stemborer pest control practices on maize yields in Rwanda: A multinomial endogenous switching regression approach
The use of push-pull technologies (PPT) as an alternative control method for fall armyworms and stemborer pests amongst maize farmers has recently received considerable global attention. However, the impact of adoption of PPT on the maize productivity remains largely unexplored. This study used a mu...
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Elsevier
2025-08-01
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| Series: | Journal of Agriculture and Food Research |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666154325003795 |
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| author | Vincent Gadamba Misango Jonathan Makau Nzuma Patrick Irungu Menale Kassie |
| author_facet | Vincent Gadamba Misango Jonathan Makau Nzuma Patrick Irungu Menale Kassie |
| author_sort | Vincent Gadamba Misango |
| collection | DOAJ |
| description | The use of push-pull technologies (PPT) as an alternative control method for fall armyworms and stemborer pests amongst maize farmers has recently received considerable global attention. However, the impact of adoption of PPT on the maize productivity remains largely unexplored. This study used a multinomial endogenous switching regression (MESR) to evaluate the impact of adoption of PPT on smallholder maize farmer's yields in Rwanda. The MESR model was estimated on a sample of 398 households operating 967 maize plots selected using a stratified random sampling technique. Overall, 25, 20, and 14 percent of the households used traditional methods, PPT and pesticides respectively in isolation to control the two maize pests in Rwanda. Another 8 and 7 percent of the households used a combination of pesticides and traditional methods and a mix of PPT and traditional methods respectively. Adoption of PPT was significantly affected by the perceived technological benefits and farmers' demographic characteristics. Moreover, adoption of PPT in the control of FAW and stemborer pests significantly improved maize yields in Rwanda. Development initiatives should therefore focus on awareness creation of the perceived technology benefits and avail the technology to smallholder farmers in Rwanda. |
| format | Article |
| id | doaj-art-4cafa81f747d4aaaa0d302fa272be5ac |
| institution | Kabale University |
| issn | 2666-1543 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Agriculture and Food Research |
| spelling | doaj-art-4cafa81f747d4aaaa0d302fa272be5ac2025-08-20T03:56:04ZengElsevierJournal of Agriculture and Food Research2666-15432025-08-012210200810.1016/j.jafr.2025.102008Impact of adoption of fall armyworm and stemborer pest control practices on maize yields in Rwanda: A multinomial endogenous switching regression approachVincent Gadamba Misango0Jonathan Makau Nzuma1Patrick Irungu2Menale Kassie3Department of Agricultural Economics, University of Nairobi, Kenya; Corresponding author.Department of Agricultural Economics, University of Nairobi, KenyaDepartment of Agricultural Economics, University of Nairobi, KenyaInternational Centre of Insect Physiology and Ecology (icipe), KenyaThe use of push-pull technologies (PPT) as an alternative control method for fall armyworms and stemborer pests amongst maize farmers has recently received considerable global attention. However, the impact of adoption of PPT on the maize productivity remains largely unexplored. This study used a multinomial endogenous switching regression (MESR) to evaluate the impact of adoption of PPT on smallholder maize farmer's yields in Rwanda. The MESR model was estimated on a sample of 398 households operating 967 maize plots selected using a stratified random sampling technique. Overall, 25, 20, and 14 percent of the households used traditional methods, PPT and pesticides respectively in isolation to control the two maize pests in Rwanda. Another 8 and 7 percent of the households used a combination of pesticides and traditional methods and a mix of PPT and traditional methods respectively. Adoption of PPT was significantly affected by the perceived technological benefits and farmers' demographic characteristics. Moreover, adoption of PPT in the control of FAW and stemborer pests significantly improved maize yields in Rwanda. Development initiatives should therefore focus on awareness creation of the perceived technology benefits and avail the technology to smallholder farmers in Rwanda.http://www.sciencedirect.com/science/article/pii/S2666154325003795AdoptionMultinomial endogenous switching regressionImpactPest controlPush-pull technologies |
| spellingShingle | Vincent Gadamba Misango Jonathan Makau Nzuma Patrick Irungu Menale Kassie Impact of adoption of fall armyworm and stemborer pest control practices on maize yields in Rwanda: A multinomial endogenous switching regression approach Journal of Agriculture and Food Research Adoption Multinomial endogenous switching regression Impact Pest control Push-pull technologies |
| title | Impact of adoption of fall armyworm and stemborer pest control practices on maize yields in Rwanda: A multinomial endogenous switching regression approach |
| title_full | Impact of adoption of fall armyworm and stemborer pest control practices on maize yields in Rwanda: A multinomial endogenous switching regression approach |
| title_fullStr | Impact of adoption of fall armyworm and stemborer pest control practices on maize yields in Rwanda: A multinomial endogenous switching regression approach |
| title_full_unstemmed | Impact of adoption of fall armyworm and stemborer pest control practices on maize yields in Rwanda: A multinomial endogenous switching regression approach |
| title_short | Impact of adoption of fall armyworm and stemborer pest control practices on maize yields in Rwanda: A multinomial endogenous switching regression approach |
| title_sort | impact of adoption of fall armyworm and stemborer pest control practices on maize yields in rwanda a multinomial endogenous switching regression approach |
| topic | Adoption Multinomial endogenous switching regression Impact Pest control Push-pull technologies |
| url | http://www.sciencedirect.com/science/article/pii/S2666154325003795 |
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