Households’ Livelihood Vulnerability to Climate Change and Climate Variability: A Case Study of the Coastal Zone, The Gambia

Amuzu, Joshua; Bah, Amos T. Kabo; Jallow, Bubu P.; Yaffa, Sidat

doi:10.13140/rg.2.2.36057.42081

Cited by 7 publications

(3 citation statements)

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“…Diversifying the number of crops grown (also referred to as increasing the crop portfolio) can play a central role in improving food security and reducing production risk [ 18 , 52 ]. Others have found a link between increasing crop portfolio and the generation of non-farm employment [ 53 , 54 ] and promoting economic transformation and structural changes [ 55 ].…”

Section: Resultsmentioning

confidence: 99%

Agricultural extension service, technology adoption, and production risk nexus: Evidence from Bangladesh

Alam,

Sarma,

Begum

et al. 2024

Heliyon

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Section: Resultsmentioning

confidence: 99%

Agricultural extension service, technology adoption, and production risk nexus: Evidence from Bangladesh

Alam,

Sarma,

Begum

et al. 2024

Heliyon

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“…The integrated indicators approach established by Hahn et al (2009) was used to measure it. Based on previous research (Hahn et al, 2009;Gerlitz et al, 2017;Adu et al, 2018;Amuzu and Kabo-bah, 2018;Parker et al, 2019), the LVI was derived from five major components, including social capital (group membership, access to NGOs, access to banks, access to agricultural offices, access to input dealers, etc. ), human capital (Hahn et al, 2009) as follows in Equation ( 6):…”

Section: Econometric Methodsmentioning

confidence: 99%

The effect of total factor productivity on the food security and livelihood vulnerability of farm households in Bangladesh

Sarma,

Alam,

Begum

et al. 2024

Front. Sustain. Food Syst.

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Food security and livelihood vulnerability are important issues for the economic sustainability of developing countries like Bangladesh. This study examines the influence of total factor productivity (TFP) on the livelihood vulnerability and food security of rice farming households in Bangladesh. Data from 1,841 rice farming households were extracted from the Bangladesh Integrated Household Survey (2015 and 2018) conducted by the International Food Policy Research Institute. Various statistical methods, such as the stochastic frontier model, principal component analysis, path analysis using structural equation modeling, and multivariate regression, were employed to analyze the data. The study utilizes a multivariate modeling approach that combines the stochastic frontier model to determine TFP and sophisticated methodologies to estimate the livelihood vulnerability index (LVI) and women’s empowerment in agriculture index (WEAI). The LVI, household dietary diversity Score (HDDS), TFP, and WEAI scores were 0.454, 10.72, 0.703, and 0.717, respectively. The results indicate a significant relationship between TFP and both LVI and HDDS. Higher TFP is associated with lower LVI and higher HDDS among rice farming households, suggesting that improving TFP can enhance food security and reduce vulnerability. The multivariate regression analysis reveals that TFP, household wealth index, women’s empowerment in agriculture index, per capita food expenditure, household level welfare, and household size have a positive significant impact on HDDS, while TFP is negatively associated with LVI, per capita food expenditure and household size. The findings underscore the importance of increasing TFP to improve food security, reduce livelihood vulnerability, and achieve sustainable development goals in countries like Bangladesh. Higher TFP yields positive outcomes regarding household dietary diversity and livelihood vulnerability, highlighting the need for agricultural policies that prioritize TFP enhancement. Policymakers and professionals can use these findings as a roadmap to implement advanced agricultural policies to achieve food security and reduce livelihood vulnerability. Improving household dietary diversity and reducing livelihood vulnerability can be achieved by focusing on increasing TFP, enhancing household wealth, women’s empowerment, per capita food expenditure, household welfare, and household size. Therefore, increasing TFP should be considered in the design of policies aiming to achieve SDGs Goal 2.

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“…Хүн ам зүйн ачаалал гэдэг нь хөдөлмөрийн насны 100 хүнд ногдох тэжээгдэгчдийн тоо буюу хөдөлмөрийн бус насны хүн амын нийгэмд үзүүлж буй ачааллыг илэрхийлнэ [39]. Хүн ам зүйн ачаалал өндөр байх тусам идэвхтэй хөдөлмөр эрхлэх хүний тоо цөөн болж, эдийн засгийн хувьд хүндрэл үүсэх магадлал өндөр болно [40]. Тиймээс тухайн сумын хүн амын ачаалал өндөр байх нь уур амьсгалын өөрчлөлтөд илүү эмзэг гэж үзэв.…”

Section: хүн амын насны бүтэцunclassified

Determining variables of social, economic, and ecological vulnerability to climate change

Galtbayar

Myagmarsuren²,

Munkhbat³

et al. 2022

Mong. J. Geogr. Geoecol.

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Mongolia is sensitive to climate change due to its geographic location, ecosystems, and socioeconomic condition. Climate change in the last forty years has impacted desertification, water supply, and frequency and intensity of the natural disasters in Mongolia. Moreover, the livestock sector is more vulnerable to climate change due to its high dependence on weather and climatic conditions. The purpose of this study was to identify and categorize the most important, pressing, and measurable variables that directly and indirectly affect the social, economic, and ecological vulnerability of rural people, especially herders, to climate change. Based on the literature review, which was conducted on research reports and articles on the social, economic, and ecological impact, vulnerability, and adaptation of climate change in Mongolia and foreign countries, we identified 26 variables determining the vulnerabilities of Mongolia's rural population, including herders. The variables included 3 variables of climate hazard (drought, dzud, and aridity), 5 variables of exposure (vegetation change, pasture use, pasture water supply, four seasons of pasture availability, and desertification), 12 variables for sensitivity (number of livestock, livestock mortality, migration, female-headed households, dependency ratio, herder education level, poverty, unemployment, loans, savings, non-performing loans, and deaths from cardiovascular disease), and 6 variables of adaptive capacity (number of doctors, prepared hay and fodder, indexed livestock insurance, health insurance, social insurance, and number of cooperative members). In the future, there is a need to analyze the interlinkage between these variables as positive and negative, indirect and direct to determine the relationship and overlaps of the variables, conduct vulnerability assessment in different ecological regions and areas using the variables, and identify the causes for vulnerability. Уур амьсгалын өөрчлөлтөд нийгэм, эдийн засаг, экологийн эмзэг байдлыг үнэлэх хувьсагчуудыг тодорхойлох нь ХУРААНГУЙ Монгол орон нь газарзүйн байршил, экосистем болон нийгэм, эдийн засгийн онцлогоос шалтгаалан уур амьсгалын өөрчлөлтөд эмзэг орон юм. Сүүлийн 40 жилийн хугацаанд уур амьсгалын өөрчлөлт нь цөлжилт, усны нөөц, болон байгалийн гамшигт үзэгдлийн давтамж болон эрчимшилд нөлөөлж байна. Ялангуяа мал аж ахуйн салбар нь цаг агаар, уур амьсгалын нөхцөлөөс ихээхэн хараат байдгаас уур амьсгалын өөрчлөлтөд илүү өртөмтгий, эмзэг салбар юм. Энэхүү судалгааны зорилго нь уур амьсгалын өөрчлөлтөд хөдөөгийн иргэд, тэр дундаа малчдын нийгэм, эдийн засгийн эмзэг байдалд шууд болон дам байдлаар нөлөөлж буй хүчин зүйлсээс хамгийн нөлөө ихтэй, тулгамдсан, хэмжигдэхүйц хувьсагчийг тодорхойлох, тэдгээрийг шинж чанарын хувьд ангилахад оршино. Уур амьсгалын өөрчлөлтийн нийгэм, эдийн засагт үзүүлэх нөлөө, эмзэг байдал, дасан зохицох чиглэлээр Монголд болон гадаад орнуудад хийгдсэн судалгааны тайлан, өгүүлэлд дүн шинжилгээ хийсний үндсэнд бид Монгол орны хөдөөгийн иргэд, ялангуяа малчдын эмзэг байдлыг нөхцөлдүүлж буй 26 хувьсагчийг тодорхойлов. Үүнд, уур амьсгалын гамшигт үзэгдлийн 3 хувьсагч (ган, зуд, хуурайшил), өртөмтгий байдлыг илэрхийлэх 5 хувьсагч (ургамлын нөмрөгийн өөрчлөлт, бэлчээр ашиглалт, бэлчээрийн усан хангамж, 4 улирлын бэлчээрийн талбай, цөлжилт), мэдрэмтгий байдлыг илэрхийлэх 12 хувьсагч (малын тоо, малын хорогдол, хүн амын шилжих хөдөлгөөн, өрх толгойлсон эмэгтэйчүүд, хүн амын насны бүтэц, малчдын боловсролын түвшин, ядуурал, ажилгүйдэл, зээл, хадгаламж, чанаргүй зээл, зүрх судасны өвчнөөр нас баралт), дасан зохицох чадавхыг илэрхийлэх 6 хувьсагч (эмч мэргэжилтнүүдийн тоо, бэлтгэсэн хадлан тэжээл, малын индексжүүлсэн даатгал, эрүүл мэндийн даатгал, нийгмийн даатгал, хоршооны гишүүдийн тоо) байна. Цаашид эдгээр хувьсагчуудын эмзэг байдалд нөлөөлөх байдлыг эерэг болон сөрөг, дам болон шууд гэсэн байдлаар ангилж, хоорондын давхцал болон уялдааг тодорхой болгох, мөн экологийн харилцан адилгүй бүс, орон зайн хувьд эмзэг байдлыг нарийвчлан үнэлэх, түүний учир шалтгааныг гүнзгийрүүлэн судлах хэрэгцээ байна. Түлхүүр үгс: Уур амьсгалын өөрчлөлт, Эмзэг байдал, Мал аж ахуй, Хувьсагч

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Households’ Livelihood Vulnerability to Climate Change and Climate Variability: A Case Study of the Coastal Zone, The Gambia

Cited by 7 publications

References 0 publications

Agricultural extension service, technology adoption, and production risk nexus: Evidence from Bangladesh

Agricultural extension service, technology adoption, and production risk nexus: Evidence from Bangladesh

The effect of total factor productivity on the food security and livelihood vulnerability of farm households in Bangladesh

Determining variables of social, economic, and ecological vulnerability to climate change

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