Asset vulnerability analytical framework and systems thinking as a twin methodology for highlighting factors that undermine efficient food production

Food production in developing countries has been highly susceptible to both climatic and non-climatic stressors. To identify the factors that prevent the rural poor from producing food efficiently, various participatory methodologies have been utilised. However, most methodologies have implicitly illustrated how vulnerable the livelihood activities of the poor are from an asset-based perspective. As assets give people the capability to thrive, we make a case for the asset vulnerability analytical framework (AVAF) and systems thinking (ST) as an integrated methodological framework. Data for this study were obtained from the rural Delta State of Nigeria through the principles and traditions of participatory research, which include Venn (or institutional) diagrams, transect walks, brainstorming, community risk mapping and historical timelines. Findings indicate that the AVAF, on the one hand, will make it relatively easier for development practitioners to effectively identify the factors that undermine the poor’s ability to maximise their livelihood assets during food production. The ST, on the other hand, will enable development practitioners to visualise the long-term consequences of the continued inability of the poor to maximise their livelihood assets. This article argues that the utilisation of both AVAF and ST will simplify the complex challenges of decision-making. This, in turn, will facilitate the implementation of appropriate policy interventions to protect the crucial assets necessary for the rural poor to produce their food efficiently and sustainably

Financial inclusion

Financial inclusion has been noted as a key driver of poverty alleviation and growth. Yet, most of the scholarly work that exists lacks a comprehensive discussion of how the poor interact with financial services and the channels through which such services can affect their livelihoods. This book offers researchers who focus on financial inclusion and African economies a one stop resource for understanding the channels of transmission for financial inclusion as well as an application of these channels through original country specific empirical papers. The book provides a back-to-basics presentation of the transmission of financial services to growth and poverty. This theoretical discussion is complemented by an empirical presentation of the various services used by the poor, with a focus on Africa. Case studies of financial inclusion in six African countries cover a broad range of topics most important to African countries and highlight the unique African setting. These empirical papers provide important learning points. Firstly, hybrid financial institutions such as cooperative financial institutions and financial social entrepreneurs are the best way to increase financial inclusion in Africa. They provide important vehicles to circumventing the restrictive and exclusive bank-based financial markets typical of African economies. Secondly, digital finance is a potent tool in improving financial access and usage in Africa, and its impact on poverty operates through both traditional and nontraditional financial instruments. Thirdly, investment in infrastructure which supports complementary markets is critical and is likely to have a greater effect on credit rationing than direct provision of credit to small businesses

Financial inclusion

Financial inclusion has been noted as a key driver of poverty alleviation and growth. Yet, most of the scholarly work that exists lacks a comprehensive discussion of how the poor interact with financial services and the channels through which such services can affect their livelihoods. This book offers researchers who focus on financial inclusion and African economies a one stop resource for understanding the channels of transmission for financial inclusion as well as an application of these channels through original country specific empirical papers. The book provides a back-to-basics presentation of the transmission of financial services to growth and poverty. This theoretical discussion is complemented by an empirical presentation of the various services used by the poor, with a focus on Africa. Case studies of financial inclusion in six African countries cover a broad range of topics most important to African countries and highlight the unique African setting. These empirical papers provide important learning points. Firstly, hybrid financial institutions such as cooperative financial institutions and financial social entrepreneurs are the best way to increase financial inclusion in Africa. They provide important vehicles to circumventing the restrictive and exclusive bank-based financial markets typical of African economies. Secondly, digital finance is a potent tool in improving financial access and usage in Africa, and its impact on poverty operates through both traditional and nontraditional financial instruments. Thirdly, investment in infrastructure which supports complementary markets is critical and is likely to have a greater effect on credit rationing than direct provision of credit to small businesses

The Association between Household Socioeconomic Position and Prevalent Tuberculosis in Zambia: A Case-Control Study

BACKGROUND: Although historically tuberculosis (TB) has been associated with poverty, few analytical studies from developing countries have tried to: 1. assess the relative impact of poverty on TB after the emergence of HIV; 2. explore the causal mechanism underlying this association; and 3. estimate how many cases of TB could be prevented by improving household socioeconomic position (SEP). METHODS AND FINDINGS: We undertook a case-control study nested within a population-based TB and HIV prevalence survey conducted in 2005-2006 in two Zambian communities. Cases were defined as persons (15+ years of age) culture positive for M. tuberculosis. Controls were randomly drawn from the TB-free participants enrolled in the prevalence survey. We developed a composite index of household SEP combining variables accounting for four different domains of household SEP. The analysis of the mediation pathway between household SEP and TB was driven by a pre-defined conceptual framework. Adjusted Population Attributable Fractions (aPAF) were estimated. Prevalent TB was significantly associated with lower household SEP [aOR = 6.2, 95%CI: 2.0-19.2 and aOR = 3.4, 95%CI: 1.8-7.6 respectively for low and medium household SEP compared to high]. Other risk factors for prevalent TB included having a diet poor in proteins [aOR = 3.1, 95%CI: 1.1-8.7], being HIV positive [aOR = 3.1, 95%CI: 1.7-5.8], not BCG vaccinated [aOR = 7.7, 95%CI: 2.8-20.8], and having a history of migration [aOR = 5.2, 95%CI: 2.7-10.2]. These associations were not confounded by household SEP. The association between household SEP and TB appeared to be mediated by inadequate consumption of protein food. Approximately the same proportion of cases could be attributed to this variable and HIV infection (aPAF = 42% and 36%, respectively). CONCLUSIONS: While the fight against HIV remains central for TB control, interventions addressing low household SEP and, especially food availability, may contribute to strengthen our control efforts

Cross-Location Analysis of the Impact of Household Socioeconomic Status on Participation in Urban and Peri-Urban Agriculture in West Africa

This study explores the relation between household socioeconomic status (SES) and participation in urban and periurban agriculture (UPA) in three West African cities. We used a structured questionnaire to survey 700 randomly selected households: 250 in Kano, Nigeria, 250 in Bobo Dioulasso, Burkina Faso, and 200 in Sikasso, Mali. Multiple correspondence analysis was applied on household asset variables to create an index of assets which was used as a proxy for household SES. The results showed no significant differences in households’ rate of participation in UPA across socioeconomic groups. Participation in UPA was rather significantly (P < 0.001) and positively related to household size. Interestingly, the analysis revealed that field crop cultivation and gardening were more common among households in the low and medium SES groups while those in the high SES group were more likely to keep livestock

Predicting youth participation in urban agriculture in Malaysia: insights from the theory of planned behavior and the functional approach to volunteer motivation

This study examines factors associated with the decision of Malaysian youth to participate in a voluntary urban agriculture program. Urban agriculture has generated significant interest in developing countries to address concerns over food security, growing urbanization and employment. While an abundance of data shows attracting the participation of young people in traditional agriculture has become a challenge for many countries, few empirical studies have been conducted on youth motivation to participate in urban agriculture programs, particularly in non-Western settings. Drawing on the theories of planned behavior and the functional approach to volunteer motivation, we surveyed 890 students from a public university in Malaysia about their intention to join a new urban agriculture program. Hierarchical regression findings indicated that the strongest predictor of participation was students’ attitude toward urban agriculture, followed by subjective norms, career motives and perceived barriers to participation. The findings from this study may provide useful information to the university program planners in Malaysia in identifying mechanisms for future students’ involvement in the program

A non-parametric assessment of efficiency of South African public universities

This article seeks to assess the efficiency of 23 South African public universities using a Data Envelope Analysis (DEA) model for the period 2009–2016. A recent study on this subject matter found a decline in the average TE score of the South African public universities from 83 per cent in 2009 to 78 per cent in 2013. However, the study did not account for non-academic staff among other input variables that are assumed to potentially influence performance outcomes of the universities. We believed that a biased conclusion on the subject matter is likely if academic staff are assumed to dominate efficiency of public universities in South Africa, while the effort of non-academic staff is not considered. In this respect, our model incorporates both academic and non-academic staff as input variables among others. Our findings show that over the study period 2009–2016 the average Technical Efficiency (TE) of the South African public universities increased from 91 per cent to 95 per cent. For this result in particular, we deduce that in assessing efficiency of South African public universities, academic and non-academic staff can be deemed as mutually inclusive variables and therefore, neglecting either of the two can lead to biased estimated average TE scores. In addition to this empirical contribution, we also estimate scale and pure efficiency. Our findings show that on average South African public universities are relatively better off in scale efficiency (at 97%) as compared to pure technical efficiency (at 96%). The efficiency levels provided in this study can be used as performance benchmarks for identifying potential improvements required to reach a satisfactory level of efficiency