Impacts of Climate Variation on Rural Populations: Evidence from Vietnam

Hien, Nguyen Minh; Kien, Nguyen D.; Kawabata, Koji

doi:10.1080/21665095.2023.2202823

Cited by 1 publication

(1 citation statement)

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“…Various studies highlighted how respondents' household characteristics influence willingness to participate in and pay for water-based ecosystem services. Characteristics such as age, gender, education level of the household head, and cultivated land area are key predictors of willingness to pay (Biswas & Venkatachalam, 2015;Gebretsadik & Romstad, 2020;Phan, Bertone, Pham, & Pham, 2021;Rodríguez-Tapia et al, 2017;Tang et al, 2022;Hien, Kien, & Koji, 2023). For instance, older individuals show more concern about water quality and are willing to pay for improvements, while higher education levels correlate with increased willingness to pay for urban domestic water supply (Rodríguez-Tapia, 2017;Bui et al, 2022).…”

Section: Literature Reviewmentioning

confidence: 99%

Co-financing irrigation water services: farmers' perspectives in the Mekong Delta, Vietnam

Kien,

Hung,

et al. 2024

JAEID

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Insufficient financial resources pose a considerable obstacle to Vietnam's endeavors to alleviate the repercussions of climate change. The adverse impacts of extreme weather events, particularly drought and water scarcity, have inflicted severe consequences on rice production across diverse regions, imperiling both the livelihoods of farmers and the nation's food security. While international aid is crucial, involving farmers in co-financing irrigation water services is essential for addressing these challenges in the long run. This study employs a blended approach encompassing quantitative and qualitative methodologies to investigate the determinants influencing farmers' willingness to participate in co-financing irrigation water services. Data were meticulously gathered through direct interviews with 289 farmers in An Giang province within the Mekong Delta, Vietnam. The findings underscore that the majority of respondents (86.16%) reported encountering water-related stresses in rice production, with 76.47% experiencing productivity losses attributable to extreme weather events. The results of the binary logistic regression model reveal significant factors associated with a farmer's decision to engage in co-financing irrigation services, including household income, participation in non-farm employment, farmers' perceptions of water scarcity, the adverse impact of water scarcity on rice yields, and the assessment of associated risks. Based on these discernments, we offer several policy recommendations aimed at facilitating the efficacious implementation of the irrigation water service co-financing initiative.

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