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http://hdl.handle.net/1942/35894
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DC Field | Value | Language |
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dc.contributor.author | LENAERTS, Bert | - |
dc.contributor.author | DE MEY, Yann | - |
dc.contributor.author | Demont, M | - |
dc.date.accessioned | 2021-11-25T15:13:59Z | - |
dc.date.available | 2021-11-25T15:13:59Z | - |
dc.date.issued | 2022 | - |
dc.date.submitted | 2021-09-13T15:01:49Z | - |
dc.identifier.citation | Journal of agricultural economics, 73 (1) , p. 277-300 | - |
dc.identifier.uri | http://hdl.handle.net/1942/35894 | - |
dc.description.abstract | Adoption of new plant varieties has played a significant role in eradicating global hunger. Previous research has mainly focused on farmer adoption and impact of new crop varieties, although upstream adoption of technologies in plant breeding can generate substantial multiplier effects on downstream impacts. This study moves upstream in the innovation system to generate policy advice on adoption and transfer of accelerated rice breeding technologies. More specifically, we assess the determinants of global adoption of rapid generation advance (RGA) through a sample of 158 rice breeders operating in various research institutes worldwide. Moving upstream in the innovation system has important theoretical and empirical implications due to the smaller number of decision-making units in the adoption process and the increasing role of institutional and managerial factors that may overrule individual adoption motivations. We revisit multi-stage models and devise the most robust estimation method that can be used in this situation. To generate insights on the impact of individual versus institutional adopter characteristics on upstream technology adoption, we juxtapose the response curves of the determinants of RGA adoption in rice breeding among alternative adoption stages, levels of conditionality and model specifications. Our findings confirm the importance of institutional and managerial factors and suggest that adoption and transfer of breeding technologies require breeding institutes to provide an enabling environment in which breeders are encouraged to take risks and are given sufficient freedom to experiment with and implement new technologies. | - |
dc.description.sponsorship | Bill and Melinda Gates Foundation, Grant/Award Number: OPP1076488 and OPP1194925. Financing from the Bill and Melinda Gates Foundation, Seattle, WA, USA (Grants no. OPP1076488 and OPP1194925) and the CGIAR Research Program on Rice is gratefully acknowledged. The authors would like to thank Bert C.Y. Collard, Joshua N. Cobb and Jauhar Ali for their great research support. Our thanks are also due to the editor and three anonymous reviewers for their constructive comments on earlier drafts. | - |
dc.language.iso | en | - |
dc.publisher | WILEY | - |
dc.rights | 2021 The Authors. Journal of Agricultural Economics published by John Wiley & Sons Ltd on behalf of Agricultural Economics Society. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. | - |
dc.subject.other | accelerated breeding | - |
dc.subject.other | innovation system | - |
dc.subject.other | rice | - |
dc.subject.other | selection model | - |
dc.subject.other | triple-hurdle | - |
dc.title | Revisiting multi-stage models for upstream technology adoption: Evidence from rapid generation advance in rice breeding | - |
dc.type | Journal Contribution | - |
dc.identifier.epage | 300 | - |
dc.identifier.issue | 1 | - |
dc.identifier.spage | 277 | - |
dc.identifier.volume | 73 | - |
local.bibliographicCitation.jcat | A1 | - |
local.publisher.place | 111 RIVER ST, HOBOKEN 07030-5774, NJ USA | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
dc.identifier.doi | 10.1111/1477-9552.12450 | - |
dc.identifier.isi | 000669312400001 | - |
local.provider.type | Web of Science | - |
local.uhasselt.international | yes | - |
item.fullcitation | LENAERTS, Bert; DE MEY, Yann & Demont, M (2022) Revisiting multi-stage models for upstream technology adoption: Evidence from rapid generation advance in rice breeding. In: Journal of agricultural economics, 73 (1) , p. 277-300. | - |
item.validation | ecoom 2023 | - |
item.accessRights | Open Access | - |
item.fulltext | With Fulltext | - |
item.contributor | LENAERTS, Bert | - |
item.contributor | DE MEY, Yann | - |
item.contributor | Demont, M | - |
crisitem.journal.issn | 0021-857X | - |
crisitem.journal.eissn | 1477-9552 | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
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J Agricultural Economics - 2021 - Lenaerts - Revisiting multiāstage models for upstream technology adoption Evidence from.pdf | Published version | 1.2 MB | Adobe PDF | View/Open |
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