Nicholas Tyack, Aminou Arouna, Rachidi Aboudou, Marie Noelle Ndjiondjop
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引用次数: 0
摘要
基因库既是育种计划宝贵性状的提供者,也是代表社会农业遗产的各种作物遗传材料的储存库。在本研究中,我们利用贝克尔-德格鲁特-马沙克机制,了解科特迪瓦水稻种植者对非洲水稻生物多样性中心(Rice Biodiversity Center for Africa)基因库所保存的少量非洲水稻(Oryza glaberrima)陆稻品种以及利用基因库材料培育的新开发的非洲水稻品种种子的支付意愿。通过田间试验,我们还调查了随机接触和试验少量非洲水稻陆稻种子或非洲水稻中心开发的先进水稻品种种子如何影响小农对这些新型遗传资源的价值。令人惊讶的是,我们发现农民对获得非洲水稻陆稻品种种子的价值普遍与获得先进水稻品种种子的价值大致相同(远高于改良种子的市场价格),而且在淡季种植陆稻品种种子的农民比不种植陆稻品种种子的农民愿意支付更高的价格。我们的研究结果表明,保护非洲水稻陆稻品种(除用于育种外)具有额外价值,并强调了在采用过程中进行试验的重要性。
An experimental approach to farmer valuation of African rice genetic resources
Genebanks serve as both providers of valuable traits for breeding programs and repositories of diverse crop genetic material representing society's agricultural heritage. In this study, we use a Becker-DeGroot-Marschak mechanism to elicit the willingness-to-pay of rice farmers in Côte d'Ivoire for small amounts of African rice (Oryza glaberrima) landraces held by the genebank of the Rice Biodiversity Center for Africa, and for seed of newly developed ARICA rice varieties bred using genebank materials. Using a field experiment, we additionally investigate how randomized exposure to and experimentation with small amounts of African rice landrace seed or seed of advanced rice varieties developed by AfricaRice affect how smallholder rice farmers value these novel genetic resources. Surprisingly, we find that farmers generally value having access to African rice landraces at approximately the same level as for advanced rice varieties (and far above market rates for improved seed), and that those farmers who grew landrace seed in the offseason were willing to pay more than those who did not. Our results demonstrate the additional value provided by the conservation of African rice landrace varieties (apart from their use in breeding) and highlight the importance of experimentation in the adoption process.
期刊介绍:
Agricultural Economics aims to disseminate the most important research results and policy analyses in our discipline, from all regions of the world. Topical coverage ranges from consumption and nutrition to land use and the environment, at every scale of analysis from households to markets and the macro-economy. Applicable methodologies include econometric estimation and statistical hypothesis testing, optimization and simulation models, descriptive reviews and policy analyses. We particularly encourage submission of empirical work that can be replicated and tested by others.