<p>Improved rice varieties play a critical role in enhancing food security, strengthening climate resilience, and achieving multiple Sustainable Development Goals (SDGs). Despite these benefits, their adoption remains limited in many rice-growing regions. This study examines the adoption likelihood and intensity of Hybrid (HV), High-Yielding (HYV), and Traditional (TV) rice varieties by analyzing data from 2,673 rice-farming households in Bangladesh, the world’s third-largest rice-producer. Descriptive results show that HYV is the most widely adopted variety (88.85%), followed by HV (16%) and TV (13%). Methodological Triangulation - simultaneous incorporation of Multivariate Probit, Multivariate Tobit and Double Hurdle models was employed to analyze adoption behavior with ensuring the validity of the results. The findings reveal that drought-vulnerability increases the adoption probability of HYV, while exposure to storm and cyclone raises both the likelihood and intensity of HYV adoption. In contrast, flood-depth and salinity vulnerability boost the probability and intensity of HV adoption, indicating that farmers adjust varietal choices based on specific climate risks. Better infrastructure and information access—such as concrete roads, extension services, and NGO contacts—encourage HV adoption. Female-headed households are less likely to adopt HYV, although higher level of female education increases HV adoption probability. Additionally, larger-farms and commercialization enhance adoption of improved varieties - HV and HYV. The study highlights the importance of climate hazard- and context-specific policy measures, including, provision of targeted stress-tolerant varieties’ seeds based on climate-hazard context, expanding information-dissemination through strengthening rural infrastructure and extension systems, and improvement in female education and gender-inclusive agricultural support programs.</p>

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Adoption of Hybrid, High-yielding and Traditional Rice Varieties and their Adoption Drivers in Climate-hazardous Locations

  • Shaima Chowdhury Sharna,
  • Md Jaber Rana,
  • Tek Maraseni

摘要

Improved rice varieties play a critical role in enhancing food security, strengthening climate resilience, and achieving multiple Sustainable Development Goals (SDGs). Despite these benefits, their adoption remains limited in many rice-growing regions. This study examines the adoption likelihood and intensity of Hybrid (HV), High-Yielding (HYV), and Traditional (TV) rice varieties by analyzing data from 2,673 rice-farming households in Bangladesh, the world’s third-largest rice-producer. Descriptive results show that HYV is the most widely adopted variety (88.85%), followed by HV (16%) and TV (13%). Methodological Triangulation - simultaneous incorporation of Multivariate Probit, Multivariate Tobit and Double Hurdle models was employed to analyze adoption behavior with ensuring the validity of the results. The findings reveal that drought-vulnerability increases the adoption probability of HYV, while exposure to storm and cyclone raises both the likelihood and intensity of HYV adoption. In contrast, flood-depth and salinity vulnerability boost the probability and intensity of HV adoption, indicating that farmers adjust varietal choices based on specific climate risks. Better infrastructure and information access—such as concrete roads, extension services, and NGO contacts—encourage HV adoption. Female-headed households are less likely to adopt HYV, although higher level of female education increases HV adoption probability. Additionally, larger-farms and commercialization enhance adoption of improved varieties - HV and HYV. The study highlights the importance of climate hazard- and context-specific policy measures, including, provision of targeted stress-tolerant varieties’ seeds based on climate-hazard context, expanding information-dissemination through strengthening rural infrastructure and extension systems, and improvement in female education and gender-inclusive agricultural support programs.