Quantifying Farm Household Resilience and the Implications of Livelihood Heterogeneity in the Semi-Arid Tropics of India

Ramilan, Thiagarajah; Kumar, Surendra; Haileslassie, Amare; Craufurd, Peter; Scrimgeour, Frank; Byjesh, K.; Whitbread, Anthony

doi:10.3390/agriculture12040466

Cited by 11 publications

(9 citation statements)

References 43 publications

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“…As a result, this study could show that irrigation availability improves the overall welfare of rural households by improving food access, nonfood consumption, and asset accumulation. is nding is consistent with the ndings of [55][56][57], who discovered that irrigation availability improves the commune's resilience to drought and improves user assistance.…”

Section: Irrigation-improved Household Consumptionsupporting

confidence: 90%

Determinants of Small-Scale Irrigation Use for Poverty Reduction: The Case of Offa Woreda, Wolaita Zone, Southern Ethiopia

Zemarku¹,

Abrham²,

Bojago

et al. 2022

Advances in Agriculture

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Small-scale irrigation is one of the agricultural activities used by rural farmers to improve the overall livelihood of the rural community by increasing income, securing food, meeting social requirements, and reducing poverty. The main objective of this study was to look into the factors that influence small-scale irrigation for poverty reduction among small-holder farmers in the Offa Woreda, Wolaita Zone. Government and nongovernmental organizations supplied small-scale irrigation and training to small-holder farmers in the study area at various times; however, the key determinants impacting small-scale irrigation use were not fully identified in the study area. The study location was chosen for this study purpose because no prior in-depth research had been conducted. Simple random sampling was used to select the three kebeles for the study. A total of 134 people were included in the study sample frame. The sample was chosen using simple random sampling and the proportional probability-to-size (pps) method, which was proportional to the size and used multistage sampling procedure. The primary data were collected using the interview schedule. Both quantitative and qualitative data were analyzed using descriptive and econometric analyzes in SPSS version 21. Qualitative data were also collected through focus groups and key informant interviews. A factor that influences small-scale irrigation use was investigated using a binary logistic regression model. The binary logistic regression model revealed that both the irrigation participants (37.3%) and the nonparticipant (62.7%) families had a combination of personal and demographic, economic, institutional, and social influencing factors that hinder their likelihood of using irrigation. HH age, annual income of the household, distance from the closest farm sight, farm experience, participation in training, access to irrigation, and sex of HH were positively and significantly influencing factors in the model, while total ownership of livestock of households and health status of households were negatively significant variables. As a result, the Agricultural and Natural Resources Development Office, as well as the Water Mining and Energy Offices, should devote scientific attention to the significant factors that influence irrigation use to boost farm family production and productivity.

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Section: Irrigation-improved Household Consumptionsupporting

confidence: 90%

Determinants of Small-Scale Irrigation Use for Poverty Reduction: The Case of Offa Woreda, Wolaita Zone, Southern Ethiopia

Zemarku¹,

Abrham²,

Bojago

et al. 2022

Advances in Agriculture

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“…A weakness of weighting is the subjectivity of experts; refs. [168][169][170] warned that respondents are influenced by their values, interests, and knowledge, and could bias responses by giving greater or lesser weight to indicators. A strategy proposed by [171] is to establish limits or guidelines to subjectivity, to effectively take advantage of the knowledge of experts.…”

Section: Discussionmentioning

confidence: 99%

A Method to Assess Agroecosystem Resilience to Climate Variability

2022

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Agroecosystems are influenced by climate variability, which puts their productivity at risk. However, they tend to maintain a functional state through their resilience. The literature presents several methods for assessing general resilience, but for specific resilience to climate variability, there are very few methods. An index is proposed that assesses the resilience of agroecosystems to climate variability, based on approaches and indicators that consider the interrelationships of agricultural systems with the environment. The index is made up of a set of multidimensional indicators, which give weight to the role that these play in the resilience of an agroecosystem. As a result, decision-making is assisted in the attempt to adapt or modify components of a farm, technology, and the culture of farmers. This index conceptually introduces structural and linkage indicators that assess ecological connections within farms and between farms and their environment. To demonstrate the effectiveness of the method, an application was implemented to evaluate the resilience to climate variability of fifty-one farms, located in Colombia, dedicated to citrus production, and it was verified that the most resilient farms were those that have the best qualified indicators, as well as being the ones with the highest level of production and profitability.

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“…To comprehensively measure economic resilience, household farm assets, alongside traditional indicators like expenditure and assets, are vital, particularly in an agrarian country like Indonesia (Ansah et al, 2022;Peng et al, 2022). Additionally, the index incorporates food security (Vaitla et al, 2020) and the education level of the household head (Ramilan et al, 2022).…”

Section: Conceptual Framework: Indicators Of Household Economic Resil...mentioning

confidence: 99%

Economic resilience and childhood growth: the construction of a household economic resilience index in Indonesia

Meliasari,

Sahadewo

2024

Preprint

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In the face of rising economic uncertainty, household economic resilience is a pivotal concern, particularly in developing countries. Concurrently, child stunting and cognitive impairment stand as critical developmental challenges, significantly impacting the prospects of low socioeconomic status households. This study seeks to establish a comprehensive and valid measure of household economic resilience, employing multidimensional household characteristics for index construction. Leveraging data from the 2014 Indonesian Family Life Survey (IFLS), the study forms a latent variable for household economic resilience through factor analysis. This variable encompasses indicators of economic welfare, living conditions, social protection, and financial literacy, each of which is itself a latent variable assembled from multiple constituent variables. Furthermore, we investigated the influence of household resilience on child growth, utilizing rainfall as an instrumental variable (IV). The results indicate a noteworthy decrease in stunting likelihood with an increase in the resilience index. Nevertheless, although positive, the effects on HAZ, WAZ, and WHZ did not yield statistical significance. Notably, an elevation in children’s total cognitive z-score and math cognitive z-score was observed, while encounters with economic shocks in the past five years did not yield significant results. The resilience index stands poised to aid policymakers in targeting vulnerable groups, and channeling resources, and social protection programs to those most in need.

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Quantifying Farm Household Resilience and the Implications of Livelihood Heterogeneity in the Semi-Arid Tropics of India

Cited by 11 publications

References 43 publications

Determinants of Small-Scale Irrigation Use for Poverty Reduction: The Case of Offa Woreda, Wolaita Zone, Southern Ethiopia

Determinants of Small-Scale Irrigation Use for Poverty Reduction: The Case of Offa Woreda, Wolaita Zone, Southern Ethiopia

A Method to Assess Agroecosystem Resilience to Climate Variability

Economic resilience and childhood growth: the construction of a household economic resilience index in Indonesia

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