Your search found 3 records
1 Tran, T. A.; Pittock, J.; Tuan, L. A. 2019. Adaptive co-management in the Vietnamese Mekong Delta: examining the interface between flood management and adaptation. International Journal of Water Resources Development, 35(2):325-341. [doi: https://doi.org/10.1080/07900627.2018.1437713]
Water management ; Flood control ; Adaptation ; Co-management ; Water policy ; Local government ; Stakeholders ; Corporate culture ; Farmers ; Households ; Case studies ; Deltas / Vietnam / Mekong Delta / An Giang / Dong Thap / Can Tho
(Location: IWMI HQ Call no: e-copy only Record No: H049090)
(0.89 MB)
The rural landscapes of the Vietnamese Mekong Delta have undergone a dramatic change, where flood management and adaptation are at the forefront. This article investigates how these synergies facilitate policy change. Drawing on qualitative information from the literature, focus group discussions, and interviews, the article argues that there are confrontational but complementary effects between them, which evolve towards adaptive co-management. Collaborative learning between local governments and farmers enables shared understanding of water management drawbacks, leading to policy change. The article recommends that more attention be given to this approach to guide strategic water policy development in the region.
2 Ho, T. D. N.; Kuwornu, J. K. M.; Tsusaka, T. W. 2022. Factors influencing smallholder rice farmers’ vulnerability to climate change and variability in the Mekong Delta Region of Vietnam. European Journal of Development Research, 34(1):272-302. [doi: https://doi.org/10.1057/s41287-021-00371-7]
Climate change ; Climate variability ; Rice ; Smallholders ; Farmers ; Vulnerability ; Livelihoods ; Natural disasters ; Rain ; Socioeconomic aspects ; Farm income ; Households ; Economic activities ; Social networks ; Deltas / Vietnam / Mekong Delta Region / Can Tho / Dong Thap / Tien Giang
(Location: IWMI HQ Call no: e-copy only Record No: H050878)
(1.37 MB)
This study analyzed the effects of climate change on rice farmers’ livelihoods vulnerability by using primary data elicited from 405 rice farming households in Can Tho, Dong Thap, and Tien Giang provinces in the Mekong Delta Region (MDR) of Vietnam. The Livelihood Vulnerability Index (LVI) showed that Can Tho province was the most vulnerable to climate change, followed by Dong Thap and Tien Giang provinces. In particular, the social index sub-indicator showed high vulnerability. The beta regression analysis identified seventeen significant factors influencing the susceptibility of rice farming households in the study area, such as weather information, flood occurrence, drought occurrence, access to extension services, access to credit, and cooperative membership as well as demographic variables and livelihoods related factors. The LVI result suggests the need for the government to consider raising the priority on households in Can Tho province through adaptation support to improve the resilience and adaptive capacity, especially by enhancing the social network in this area to stimulate support from local authorities and farmer groups. The regression results imply that extension services should provide adequate and timely weather information to equip the farmers to be more prepared for climatic shocks. Moreover, credit facilities with low interest rates should be made available, especially to those who are members of agricultural cooperatives.
3 Silva, J. V.; Pede, V. O.; Radanielson, A. M.; Kodama, W.; Duarte, A.; de Guia, A. H.; Malabayabas, A. J. B.; Pustika, A. B.; Argosubekti, N.; Vithoonjit, D.; Hieu, P. T. M.; Pame, A. R. P.; Singleton, G. R.; Stuart, A. M. 2022. Revisiting yield gaps and the scope for sustainable intensification for irrigated lowland rice in Southeast Asia. Agricultural Systems, 198:103383. [doi: https://doi.org/10.1016/j.agsy.2022.103383]
Irrigated rice ; Sustainable intensification ; Crop yield ; Yield gap ; Lowland ; Food security ; Smallholders ; Crop management ; Cropping systems ; Fertilizers ; Dry season ; Wet season ; Socioeconomic aspects ; Sustainability ; Crop modelling ; Stochastic models / South East Asia / Myanmar / Indonesia / Thailand / Vietnam / Mekong Delta / Bago / Can Tho / Nakhon Sawan / Yogyakarta
(Location: IWMI HQ Call no: e-copy only Record No: H051066)
https://www.sciencedirect.com/science/article/pii/S0308521X22000191/pdfft?md5=29c07ab1e430a194fc17de50b1e72574&pid=1-s2.0-S0308521X22000191-main.pdf
https://vlibrary.iwmi.org/pdf/H051066.pdf
https://vlibrary.iwmi.org/pdf/H051066.pdf
(7.40 MB) (7.40 MB)
CONTEXT: Recent studies on yield gap analysis for rice in Southeast Asia revealed different levels of intensification across the main ‘rice bowls’ in the region. Identifying the key crop management and biophysical drivers of rice yield gaps across different ‘rice bowls’ provides opportunities for comparative analyses, which are crucial to better understand the scope to narrow yield gaps and increase resource-use efficiencies across the region.
OBJECTIVE: The objective of this study was to decompose rice yield gaps into their efficiency, resource, and technology components and to map the scope to sustainably increase rice production across four lowland irrigated rice areas in Southeast Asia through improved crop management.
METHODS: A novel framework for yield gap decomposition accounting for the main genotype, management, and environmental factors explaining crop yield in intensive rice irrigated systems was developed. A combination of crop simulation modelling at field-level and stochastic frontier analysis was applied to household survey data to identify the drivers of yield variability and to disentangle efficiency, resource, and technology yield gaps, including decomposing the latter into its sowing date and genotype components.
RESULTS AND CONCLUSION: The yield gap was greatest in Bago, Myanmar (75% of Yp), intermediate in Yogyakarta, Indonesia (57% of Yp) and in Nakhon Sawan, Thailand (47% of Yp), and lowest in Can Tho, Vietnam (44% of Yp). The yield gap in Myanmar was largely attributed to the resource yield gap, reflecting a large scope to sustainably intensify rice production through increases in fertilizer use and proper weed control (i.e., more output with more inputs). In Vietnam, the yield gap was mostly attributed to the technology yield gap and to resource and efficiency yield gaps in the dry season and wet season, respectively. Yet, sustainability aspects associated with inefficient use of fertilizer and low profitability from high input levels should also be considered alongside precision agriculture technologies for site-specific management (i.e., more output with the same or less inputs). The same is true in Thailand, where the yield gap was equally explained by the technology, resource, and efficiency yield gaps. The yield gap in Indonesia was mostly attributed to efficiency and technology yield gaps and yield response curves to N based on farmer field data in this site suggest it is possible to reduce its use while increasing rice yield (i.e., more output with less inputs).
SIGNIFICANCE: This study provides a novel approach to decomposing rice yield gaps in Southeast Asia's main rice producing areas. By breaking down the yield gap into different components, context-specific opportunities to narrow yield gaps were identified to target sustainable intensification of rice production in the region.
OBJECTIVE: The objective of this study was to decompose rice yield gaps into their efficiency, resource, and technology components and to map the scope to sustainably increase rice production across four lowland irrigated rice areas in Southeast Asia through improved crop management.
METHODS: A novel framework for yield gap decomposition accounting for the main genotype, management, and environmental factors explaining crop yield in intensive rice irrigated systems was developed. A combination of crop simulation modelling at field-level and stochastic frontier analysis was applied to household survey data to identify the drivers of yield variability and to disentangle efficiency, resource, and technology yield gaps, including decomposing the latter into its sowing date and genotype components.
RESULTS AND CONCLUSION: The yield gap was greatest in Bago, Myanmar (75% of Yp), intermediate in Yogyakarta, Indonesia (57% of Yp) and in Nakhon Sawan, Thailand (47% of Yp), and lowest in Can Tho, Vietnam (44% of Yp). The yield gap in Myanmar was largely attributed to the resource yield gap, reflecting a large scope to sustainably intensify rice production through increases in fertilizer use and proper weed control (i.e., more output with more inputs). In Vietnam, the yield gap was mostly attributed to the technology yield gap and to resource and efficiency yield gaps in the dry season and wet season, respectively. Yet, sustainability aspects associated with inefficient use of fertilizer and low profitability from high input levels should also be considered alongside precision agriculture technologies for site-specific management (i.e., more output with the same or less inputs). The same is true in Thailand, where the yield gap was equally explained by the technology, resource, and efficiency yield gaps. The yield gap in Indonesia was mostly attributed to efficiency and technology yield gaps and yield response curves to N based on farmer field data in this site suggest it is possible to reduce its use while increasing rice yield (i.e., more output with less inputs).
SIGNIFICANCE: This study provides a novel approach to decomposing rice yield gaps in Southeast Asia's main rice producing areas. By breaking down the yield gap into different components, context-specific opportunities to narrow yield gaps were identified to target sustainable intensification of rice production in the region.
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