Coping with negative shocks and the role of the farm input subsidy programme in rural Malawi

Ajefu, Joseph B.; Efobi, Uchenna; Beecroft, Ibukun

doi:10.1017/s1355770x20000285

Cited by 7 publications

(5 citation statements)

References 36 publications

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“…From Table 3, the findings reveal the interplay between using mobile money services and the food security indicators. The use of these outcome variables in Table 3 as food security indicators is consistent with the existing literature on food security, and it also follows Ajefu and Abiona (2020) and Ajefu et al (2021). Based on the results in columns (1), ( 2) and (3), using mobile money is positively linked to the dependent variables reported in Table 3column (1), household dietary diversity; column (2), food consumption score; and column (3), total food expenditure.…”

Section: Resultssupporting

confidence: 85%

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Exploring how mobile money adoption affects nutrition and household food security

Ajefu,

Uchenna,

Adeoye

et al. 2024

J of Intl Development

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This paper explores how using mobile money services affects food security and nutritional status of households in Tanzania. This study uses data obtained from three waves of the Tanzanian National Panel Surveys and the instrumental variable (IV) approach. The evidence from this paper shows that using mobile money services resulted in household's enhanced nutritional and food security status paper. Households' receipt of remittances is the main pathway in which using mobile money services influences the food security and nutritional outcomes among households in Tanzania.

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Section: Resultssupporting

confidence: 85%

“…5 5 For the indicators of food security used in this paper, we followed studies such as Ajefu and Abiona (2020) and Ajefu et al (2021). …”

mentioning

confidence: 99%

Exploring how mobile money adoption affects nutrition and household food security

Ajefu,

Uchenna,

Adeoye

et al. 2024

J of Intl Development

Self Cite

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“…Several driving forces affect the profitability of livelihood strategies. Examples are agricultural technologies (Angelsen and Kaimowitz, 2001), levels of natural resource use (Coomes et al, 2004), historical conditions (Coomes et al, 2016), soil fertility (Heger et al, 2020) and the availability of other ecosystem services (Junqueira et al, 2016), environmental variability (Börner et al, 2015b;Ajefu et al, 2020;Alfani et al, 2021;Girard et al, 2021), farm/forest output level (i.e., productivity) (Klemick, 2011), market prices (e.g., the decline in Brazil nut retail prices) (Ubiali and Alexiades, 2022), and institutional constraints (e.g., land tenure insecurity, encroaching) (Tseng et al, 2021).…”

Section: Metric Of Forest Cover and Lucc Extend And Patchinessmentioning

confidence: 99%

Describing complex interactions of social-ecological systems for tipping point assessments: an analytical framework

Froese,

Andrino,

Giudice

et al. 2023

Front. Clim.

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Humans play an interconnecting role in social-ecological systems (SES), they are part of these systems and act as agents of their destruction and regulation. This study aims to provide an analytical framework, which combines the concept of SES with the concept of tipping dynamics. As a result, we propose an analytical framework describing relevant dynamics and feedbacks within SES based on two matrixes: the “tipping matrix” and the “cross-impact matrix.” We take the Southwestern Amazon as an example for tropical regions at large and apply the proposed analytical framework to identify key underlying sub-systems within the study region: the soil ecosystem, the household livelihood system, the regional social system, and the regional climate system, which are interconnected through a network of feedbacks. We consider these sub-systems as tipping elements (TE), which when put under stress, can cross a tipping point (TP), resulting in a qualitative and potentially irreversible change of the respective TE. By systematically assessing linkages and feedbacks within and between TEs, our proposed analytical framework can provide an entry point for empirically assessing tipping point dynamics such as “tipping cascades,” which means that the crossing of a TP in one TE may force the tipping of another TE. Policy implications: The proposed joint description of the structure and dynamics within and across SES in respect to characteristics of tipping point dynamics promotes a better understanding of human-nature interactions and critical linkages within regional SES that may be used for effectively informing and directing empirical tipping point assessments, monitoring or intervention purposes. Thereby, the framework can inform policy-making for enhancing the resilience of regional SES.

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“…First, public policies are likely to influence the coping capacity of agricultural households. Ajefu et al (2020) show how input subsidies may help households deal with the negative impact of rainfall shocks and smooth their consumption and food intake. When it comes to private adaptation, Girard et al (2021) provide a comprehensive description of the risk-management and risk-coping strategies that may be put in place by agricultural households, and how the economic context may influence the choice of those strategies.…”

Section: Climate Change Adaptation Practicesmentioning

confidence: 99%

Introduction: special issue on weather and climate impacts in developing countries

2021

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Shocks related to weather variations have strong effects on developing countries’ economies. Climate change is expected to increase the occurrence and magnitude of extreme weather events such as droughts, floods or hurricanes that strongly affect agriculture and other activities. This special issue gathers literature reviews and case studies that aim to better understand heterogeneous impacts and their transmission channels, as well as to evaluate the impact of such weather shocks on developing economies, including Sub-Saharan African countries, India and Brazil.

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Coping with negative shocks and the role of the farm input subsidy programme in rural Malawi

Cited by 7 publications

References 36 publications

Exploring how mobile money adoption affects nutrition and household food security

Exploring how mobile money adoption affects nutrition and household food security

Describing complex interactions of social-ecological systems for tipping point assessments: an analytical framework

Introduction: special issue on weather and climate impacts in developing countries

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