scholarly journals Assessing The Impacts of Climate Variability on Rural Households in Agricultural Land Through The Application of Livelihood Vulnerability Index

2021 ◽  
Vol 6 (1) ◽  
pp. 96
Author(s):  
Ginjo Gitima ◽  
Abiyot Legesse ◽  
Dereje Biru
Keyword(s):  
Climate Variability ◽  
Natural Hazards ◽  
Agricultural Land ◽  
Rural Households ◽  
Composite Index ◽  
Sampling Technique ◽  
Vulnerability Index ◽  
Climatic Data ◽  
Intergovernmental Panel ◽  
Household Heads

Climate variability adversely affects rural households in Ethiopia as they depend on rain-fed agriculture, which is highly vulnerable to climate fluctuations and severe events such as drought and pests. In view of this, we have assessed the impacts of climate variability on rural household’s livelihoods in agricultural land in Tarchazuria district of Dawuro Zone. A total of 270 samples of household heads were selected using a multistage sampling technique with sample size allocation procedures of the simple random sampling method. Simple linear regression, the standard precipitation index, the coefficient of variance, and descriptive statistics were used to analyze climatic data such as rainfall and temperature. Two livelihood vulnerability analysis approaches, such as composite index and Livelihood Vulnerability Index-Intergovernmental Panel on Climate Change (LVI-IPCC) approaches, were used to analyze indices for socioeconomic and biophysical indicators. The study revealed that the variability patterns of rainfall and increasing temperatures had been detrimental effects on rural households' livelihoods. The result showed households of overall standardized, average scores of Wara Gesa (0.60) had high livelihood vulnerability with dominant major components of natural, physical, social capital, and livelihood strategies to climate-induced natural hazards than Mela Gelda (0.56). The LVI-IPCC analysis results also revealed that the rural households in Mela Gelda were more exposed to climate variability than Wara Gesa and slightly sensitive to climate variability, considering the health and knowledge and skills, natural capitals, and financial capitals of the households. Therefore, interventions including road infrastructure construction, integrated with watershed management, early warning information system, providing training, livelihood diversification, and SWC measures' practices should be a better response to climate variability-induced natural hazards. Keywords: Households;  Livelihood Vulnerability Index; climate variability; Tarchazuria District   Copyright (c) 2021 Geosfera Indonesia and Department of Geography Education, University of Jember This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License

scholarly journals Household’s Agricultural Vulnerability to Climate Induced Disasters: A Case on South-west Coastal Bangladesh

2021 ◽  
Author(s):  
Md. Ayatullah Khan ◽  
Kazi Humayun Kabir ◽  
Kamrul Hasan ◽  
Rashmia Sultana ◽  
Sardar Al Imran ◽  
...  
Keyword(s):  
Adaptive Capacity ◽  
Vulnerability Index ◽  
Average Score ◽  
Intergovernmental Panel ◽  
Coastal Bangladesh ◽  
Coastal Adaptation ◽  
Agricultural Vulnerability ◽  
Farm Credit ◽  
Household Heads ◽  
Study Sites

Abstract Climatic events have a significant impact on south-western coastal agriculture in Bangladesh. The purpose of this study was to assess household’s agricultural vulnerability to climate-induced disasters and to identify the sub-indicators of adaptive capacity that determine the agricultural vulnerability to climate-induced disasters of south-western coastal households in Bangladesh. The vulnerability has been calculated by taking the Intergovernmental Panel on Climate Change (IPCC) concept through an Agricultural Vulnerability Index (AVI). Then, the ordered logit model has been employed to identify the key sub-indicators of adaptive capacity that determine the agricultural vulnerability to climate-induced disasters. A survey of 346 household heads from the two villages (181 household’s head from Sutarkhali and 165 household’s head from Nalian) of Sutarkhali Union of Dacope Upazila under Khulna District has been used in this study. Findings reveal that the mean score of Sutarkhali is 0.703 (high) for exposure, 0.762 (high) for sensitivity, 0.397 (low) for adaptive capacity and finally, the AVI is 0.689 (high). In the same fashion, Nalian has an average score of 0.658 (high) for exposure, 0.681 (high) for sensitivity, 0.410 (low) for adaptive capacity, and finally 0.643 (high) for the AVI. Non-farm employment, ownership of livestock, access to irrigation pump, improved crop diversification/ saline tolerant High Yielding Variety (HYV) crops, and access to farm credit have been found statistically significant sub-indicators of adaptive capacity that determine the agricultural vulnerability of both study sites. Finally, it is recommended that the intervention required for coastal adaptation of agriculture should be initiated by respective authorities.

scholarly journals Factors Affecting the Level of Rural Households Livelihood Diversification in Gamo Zone, Southern Ethiopia

2021 ◽  
pp. 19-32
Author(s):  
Wanno Wallole ◽  
Yishak Gecho ◽  
Tewodros Tefera
Keyword(s):  
Rural Households ◽  
Sampling Technique ◽  
Rural Household ◽  
Southern Ethiopia ◽  
Livelihood Diversification ◽  
Chi Square ◽  
Cross Sectional ◽  
Factors Affecting ◽  
Household Livelihood ◽  
Household Heads

Livelihood diversification is enchanting a significant effect in generating household’s income. The livelihood diversification includes:on-farm, non-farm and off-farm strategies which are undertaken to get extra income and moderate hazard and insecurity. The purpose of this study was to examine the factors affecting the level of rural household livelihood diversification in Gamo Zone, Southern Ethiopia. The study was conducted by using a cross-sectional research design. It is a quantitative dominant concurrent mixed research methodology where the qualitative research is complemented with interpretations and triangulation. By applying multi-stage random sampling technique, a sample size of 400 household heads from 6 sample villages was selected and data were collected using interview schedule and via key informant interviews and focus group discussions. Descriptive statistics were analyzed and presented by using tables, graphs and figures while chi-square-test and F-test were employed to make statistical inferences. Tobit model was employed to identify the intensity of factors affecting of rural household’s livelihood diversification. Out of the 14 hypothesized explanatory variables, 6 variables namely age, education, access to extension, media access, distance to urban centers and training were found to have significant effect in rural household livelihood diversification decision. Therefore, the findings of this imply that rural households’ development policies should consider these factors in designing rural household livelihood diversification strategy.

scholarly journals Communities’ Livelihood Vulnerability to Climate Variability in Ethiopia

2019 ◽  
Vol 11 (22) ◽  
pp. 6302 ◽  
Author(s):  
Misganaw Teshager Abeje ◽  
Atsushi Tsunekawa ◽  
Nigussie Haregeweyn ◽  
Zerihun Nigussie ◽  
Enyew Adgo ◽  
...  
Keyword(s):  
Climate Change ◽  
Climate Variability ◽  
Adaptive Capacity ◽  
Policy Development ◽  
Composite Index ◽  
Household Survey ◽  
Kendall Test ◽  
Vulnerability Index ◽  
Relative Difference ◽  
Sustainable Livelihood

Ethiopia has experienced more than 10 major drought episodes since the 1970s. Evidence has shown that climate change exacerbates the situation and presents a daunting challenge to predominantly rain-fed agricultural livelihoods. The aim of this study was to analyze the extent and sources of smallholder famers’ livelihood vulnerability to climate change/variability in the Upper Blue Nile basin. We conducted a household survey (n = 391) across three distinct agroecological communities and a formative composite index of livelihood vulnerability (LVI) was constructed. The Mann–Kendall test and the standard precipitation index (SPI) were employed to analyze trends of rainfall, temperature, and drought prevalence for the period from 1982 to 2016. The communities across watersheds showed a relative difference in the overall livelihood vulnerability index. Aba Gerima (midland) was found to be more vulnerable, with a score of 0.37, while Guder (highland) had a relatively lower LVI with a 0.34 index score. Given similar exposure to climate variability and drought episodes, communities’ livelihood vulnerability was mainly attributed to their low adaptive capacity and higher sensitivity indicators. Adaptive capacity was largely constrained by a lack of participation in community-based organizations and a lack of income diversification. This study will have practical implications for policy development in heterogeneous agroecological regions for sustainable livelihood development and climate change adaptation programs.

scholarly journals Vulnerability of Fishery-based Livelihoods to Climate Variability and Change in a Tropical Island: Insights From Small Scale Fishers in Seychelles

2021 ◽  
Author(s):  
Daniel Etongo ◽  
Lyn Arrisol
Keyword(s):  
Climate Variability ◽  
Value Chain ◽  
Monsoon Season ◽  
Composite Index ◽  
Vulnerability Index ◽  
Small Scale ◽  
Contributing Factors ◽  
Demographic Profile ◽  
Indicator Approach ◽  
Guest House

Abstract An indicator approach based on six major components and their corresponding sub-components was applied in order to assess community vulnerability of small-scale fishers on Mahe and Praslin Island with the framework of the Livelihood Vulnerability Index (LVI). These major major components include socio-demographic profile, livelihood strategies, food, health, social networks, and natural disasters and climate variability from which questionnaires were designed based on expert judgements. Fisher associations on Mahe and Praslin provided guidance for the selection of fishing households and a total of 80 surveys were completed with 40 from each island. Three shared dialogue workshops (SDWs) were conducted to gather additional qualitative data. A composite index was used to aggregate the data and the LVI-IPCC methodology was applied in the calculation of the contributing factors of the sub-components to the major components and the overall vulnerability was deduced for exposure, adaptive capacity and sensitivity. Results showed that the percentage of fishers’ households that depend mainly on fisheries as a source of income was 95% and 97% for Mahe and Praslin respectively with alternative income streams along the fishing value chain such as transportation, fish mongers and processor. Fishers on Mahe Island had a dependency ratio index that was slightly higher than those on Praslin. Overall, fishing households on Mahe showed greater vulnerability on socio-demographic profile index compared to their counterparts on Praslin. However, greater livelihood diversification was recorded for householders on Mahe than Praslin – an indication that the level of development on the former as the largest island and capital of Seychelles offer greater opportunities for diversification. The SDWs revealed that fishers earned income from tourism-related activities such as guest house, car rental, boat ride, and sales of coconuts. While householders on Mahe struggled to find fish for 3 months during the southeast monsoon season, those on Praslin had just 2 months given that they are granted access to fish in the lagoon during this season. More importantly, the voluntary closure of some fishing zones between the months of November to April on Praslin is a sustainability strategy with an increase in size and number observed for rabbit and parrotfish. Further studies are needed in two key areas as follows: the role of subsidies and sustainable fisheries management, and a value-chain approach to vulnerability of small-scale fishers within the fishery sector in Seychelles.

scholarly journals Rural households’ livelihood vulnerability to climate variability and extremes: a livelihood zone-based approach in the Northeastern Highlands of Ethiopia

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Abebe Arega Mekonen ◽  
Arega Bazezew Berlie
Keyword(s):  
Climate Variability ◽  
Adaptive Capacity ◽  
Rural Households ◽  
Vulnerability Index ◽  
Moderate Level ◽  
Policy Implications ◽  
Population Pressure ◽  
Assessment Approach ◽  
Climate Vulnerability Index ◽  
High Level

Abstract Background The adverse effects of climate variability and extremes exert increasing pressure on rural farm households whose livelihoods are dependent on nature. However, integrated and area-specific vulnerability assessments in Ethiopia in general and the study area, in particular, are scarce and insufficient for policy implications. Therefore, this study aims to quantify, map, classify, and prioritize the level of vulnerability in terms of the components of exposure, sensitivity, and adaptive capacity in the Northeastern Highlands of Ethiopia. The study area is divided into six livelihood zones, namely, Abay-Beshilo Basin (ABB), South Wollo and Oromia eastern lowland sorghum and cattle (SWS), Chefa Valley (CHV), Meher-Belg, Belg, and Meher. A total of 361 sample households were selected using proportional probability sampling techniques. Survey questionnaire, key informant interview, and focus group discussions were used to collect the necessary data. Rainfall and temperature data were also used. Following the IPCC’s climate change vulnerability assessment approach, the climate vulnerability index (CVI) framework of Sullivan and Meigh’s model was used to assess the relative vulnerability of livelihoods of rural households. Twenty-four vulnerability indicators were identified for exposure, sensitivity, and adaptive capacity components. In this regard, Iyengar and Sudarshan’s unequal weighting system was applied to assign a weight to indicators. Results The results revealed that Belg and Meher were found to be the highest exposure livelihood zones to vulnerability with an aggregated value of 0.71. Equally, SWS, ABB, Belg, and CHV livelihood zones showed moderate level of sensitivity to vulnerability with an aggregated value between 0.45 and 0.60. The study noted that livelihood zone of Belg (0.75) was found to be at high level of livelihood vulnerability. ABB (0.57) and CHV (0.45) were at a moderate level of livelihood vulnerability while Meher-Belg (0.22) was the least vulnerable livelihood zone due to a high level of adaptive capacity such as infrastructure, asset accumulation, and social networks. Conclusion It was identified that disparities of livelihood vulnerability levels of rural households were detected across the study livelihood zones due to differences in the interaction of exposure, sensitivity, and adaptive capacity components. The highest levels of exposure and sensitivity combined with low level of adaptive capacity have increased households’ livelihood vulnerability. More importantly, the biophysical and socioeconomic sensitivity to livelihood vulnerability were exacerbated by slope/topography, soil erodibility, and population pressure. Therefore, designing livelihood zone-based identifiable adaptation strategies are essential to reduce the exposure and sensitivity of crop-livestock mixed agricultural systems to climate calamity.

scholarly journals Household’s Agricultural Vulnerability to Climate Induced Disasters: A Case on South-west Coastal Bangladesh

2021 ◽  
Author(s):  
Md. Ayatullah Khan ◽  
Kazi Humayun Kabir ◽  
Kamrul Hasan ◽  
Rashmia Sultana ◽  
Sardar Al Imran ◽  
...  
Keyword(s):  
Adaptive Capacity ◽  
Vulnerability Index ◽  
Average Score ◽  
Intergovernmental Panel ◽  
Coastal Bangladesh ◽  
Coastal Adaptation ◽  
Agricultural Vulnerability ◽  
Farm Credit ◽  
Household Heads ◽  
Study Sites

Abstract Climatic events have a significant impact on south-western coastal agriculture in Bangladesh. The purpose of this study was to assess household’s agricultural vulnerability to climate-induced disasters and to identify the sub-indicators of adaptive capacity that determine the agricultural vulnerability to climate-induced disasters of south-western coastal households in Bangladesh. The vulnerability has been calculated by taking the Intergovernmental Panel on Climate Change (IPCC) concept through an Agricultural Vulnerability Index (AVI). Then, the ordered logit model has been employed to identify the key sub-indicators of adaptive capacity that determine the agricultural vulnerability to climate-induced disasters. A survey of 346 household heads from the two villages (181 household’s head from Sutarkhali and 165 household’s head from Nalian) of Sutarkhali Union of Dacope Upazila under Khulna District has been used in this study. Findings reveal that the mean score of Sutarkhali is 0.703 (high) for exposure, 0.762 (high) for sensitivity, 0.397 (low) for adaptive capacity and finally, the AVI is 0.689 (high). In the same fashion, Nalian has an average score of 0.658 (high) for exposure, 0.681 (high) for sensitivity, 0.410 (low) for adaptive capacity, and finally 0.643 (high) for the AVI. Non-farm employment, ownership of livestock, access to irrigation pump, improved crop diversification/ saline tolerant High Yielding Variety (HYV) crops, and access to farm credit have been found statistically significant sub-indicators of adaptive capacity that determine the agricultural vulnerability of both study sites. Finally, it is recommended that the intervention required for coastal adaptation of agriculture should be initiated by respective authorities.

scholarly journals Relationship between Rural Finance Institution Services and Standard of Living of Rural Farming Households in Anambra State, Nigeria

2020 ◽  
pp. 102-109
Author(s):  
Chizoba P. Anunobi ◽  
Nneamaka O. T. Nwankwo ◽  
Cynthia Obi-Nwandikom
Keyword(s):  
Rural Households ◽  
Sampling Technique ◽  
Standard Of Living ◽  
Rural Finance ◽  
Anambra State ◽  
High Extent ◽  
Before And After ◽  
Household Heads ◽  
Almost All ◽  
Farming Households

This study aimed at examining the relationship between Rural Finance Institution (RUFIN) services and standard of living of rural farming households in Anambra State, Nigeria. The study specifically ascertained the RUFIN credit services rendered to the rural households, compared the rural households’ standard of living before and after accessing RUFIN credit services and identified the challenges faced by the rural households in accessing the services of RUFIN. The method of judgmental sampling technique was used in selecting 367 farming household heads that benefitted from RUFIN credit services in Anambra State. Data collected were analyzed using descriptive statistics while ANOVA was used to test the hypothesis. Results showed that majority of the RUFIN services were accessible to rural farming households, the rural households were operating at a very high extent and high extent in almost all aspects of their livelihood after benefitting from RUFIN credit delivery services. It is recommended that Rural Finance Institution services should give more attention to monitoring and supervision of credit utilization among farming households.

scholarly journals ATTITUDE OF RURAL HOUSEHOLDS OF SOUTH WESTERN NIGERIA TOWARDS UTILIZATION OF WATER SANITATION FACILITIES

2021 ◽  
Vol 9 (3) ◽  
pp. 291-300
Author(s):  
W.A. Adewole ◽  
A.R. Ayoade ◽  
O.E Oladapo
Keyword(s):  
Regression Analysis ◽  
Water Supply ◽  
Rural Households ◽  
Sampling Technique ◽  
Income Level ◽  
Sampling Procedure ◽  
Rural Household ◽  
Analysis Model ◽  
Ondo State ◽  
Household Heads

The study examined the Attitude of rural households of south west Nigeria towards utilization of water sanitation facilities the study specifically described the socio-economic characteristics of the rural household heads; identified various sources of water supply and their providers; determined the attitude of respondents to the utilization of water sanitation facilities and identified the constraints to water sanitation facilities utilization. The population of the study comprised of all the rural households in Ondo and Oyo States in Southwestern of Nigeria. The sampling procedure employed was multistage sampling technique to select 355 household heads comprising a total of 167 rural household considered out of 278 rural households from the selected cells in Oyo state while a total of 188 rural household heads selected out of 314 rural household heads from the selected cells in Ondo State for the study. The data for the study were analyzed with descriptive statistics such as frequency count, percentage, mean and standard deviation while inferential statistical tools such as logistic regression analysis model and Pearson Product Moment Correlation analysis.       The result revealed a mean age of the respondents from Ondo State was 47 years while that of respondents from Oyo State was 45 years. Rain water collection was the major source of improved water supply from Ondo State (87.4%) and Oyo State (86.7%). Majority had favourable attitude towards utilization of water sanitation facilities while the level of utilization of water sanitation facilities is still on moderate level. The result of the Regression analysis model indicated that years of schooling (t=-3.758***; p=0.000) and households’ size (t=-2.089**; p=0.037) were significantly related to utilization of water sanitation facilities. It was therefore concluded that the utilization of water sanitation facilities was influenced by income level, household size and people’s attitude/disposition towards water sanitation facilities. Since income level is a strong determinant of utilization of water sanitation facilities, there is need to make credit available to the rural households in case of breakdown of the facilities to enable immediate repairs thereby enhancing their health and utilization level

Climate Change and Land Use Change of Rural Households in The Red River Delta, Vietnam

2013 ◽  
pp. 79-94
Author(s):  
Ngoc Luu Bich
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Agricultural Land ◽  
Rural Households ◽  
River Delta ◽  
Red River ◽  
Red River Delta ◽  
Sea Levels ◽  
Main Production ◽  
Farming Households

Climate change (CC) and its impacts on the socio-economy and the development of communities has become an issue causing very special concern. The rise in global temperatures, in sea levels, extreme weather phenomena, and salinization have occurred more and more and have directly influenced the livelihoods of rural households in the Red River Delta – one of the two regions projected to suffer strongly from climate change in Vietnam. For farming households in this region, the major and traditional livelihoods are based on main production materials as agricultural land, or aquacultural water surface Changes in the land use of rural households in the Red River Delta during recent times was influenced strongly by the Renovation policy in agriculture as well as the process of industrialization and modernization in the country. Climate change over the past 5 years (2005-2011) has started influencing household land use with the concrete manifestations being the reduction of the area cultivated and the changing of the purpose of land use.

Adoption Decision and Sustainable Utilization of Soil Conservation Technologies: Empirical Evidence from North West Ethiopia

2019 ◽  
Vol 10 ◽  
pp. 1853-1863
Author(s):  
Kassaye Gurebiyaw Legese ◽  
Taye Melese ◽  
Tadie Mire ◽  
Abebe Birara ◽  
Kefale Eniyew
Keyword(s):  
Water Conservation ◽  
Soil Conservation ◽  
Sampling Technique ◽  
Household Survey ◽  
Ecological Processes ◽  
Related Factors ◽  
Severe Problem ◽  
North West ◽  
Household Heads ◽  
North Gondar Zone

Soil is a crucial and precious natural resource that govern numerous ecological processes. However, in Ethiopia particularly in north Gondar zone, soil erosion is a severe problem and a major cause of the decline of agricultural productivity. The adoption and diffusion of soil and water conservation practices (SWC), as a way to tackle this challenge, has become an important issue in the development policy agenda in the zone. Therefore, this study was to identify factors affecting Soil conservation investments in the North Gondar zone. Data was collected through interviewed schedule, filed observation and focus group discussion. The multistage sampling technique was employed to select 206 sample households.  Both descriptive and econometrics model was used to analyze the collected data. A multivariate profit (MPV) model was used to analyze the effect of demographic, socioeconomic, market, institutional and biophysical related factors on the interdependent investment decisions of SWC practices using household survey. The MPV model analysis indicates that farmers invest a combination of practices at parcel level by considering substitution and complementarity effects of the practices. The results also revealed that age of household heads, literacy status of household heads, off-farm activity, distance of farmlands from homesteads, tropical livestock unit, and access to training were influence farmers’ investments in SWC practices. The overall results indicate that the identified physical, socioeconomic, and institutional factors influence promote or hinder investments in SWC practice so, policymakers should take into consideration these various factors in designing and implementing SWC policies and Programmers.

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