Search results

The purpose of this paper is to analyze the effect of the different components of off-farm income on multi-dimensional poverty. Furthermore, the study aims to measure multi-dimensional poverty and also identify the determinants of multi-dimensional poverty in Nigeria. The paper reveals the different contributions of the dimensions of education, health and living standard.

The study focuses on rural farm households in Nigeria. Data are obtained from the Nigeria General Household Survey, 2013. The survey covers both urban and rural areas of the 36 states of Nigeria. Owing to the interest of this study in the rural farm household’s sub-sector, a nationally representative sample of 836 rural farm households are selected for the study after the data merging process. Rural farm households in this paper earn 50 percent of their total income from crop and livestock production. The paper employs the Multi-dimensional Poverty Index (MPI) to measure multi-dimensional poverty across the six different geographical zones of Nigeria. The probit regression model is used to estimate and analyze the effect of off-farm income components on multi-dimensional poverty and also to identify the determinants of multi-dimensional poverty.

The results of the study show that among the off-farm income components, the non-farm wage income and non-farm self-employment income have negative association with multi-dimensional poverty. Findings show that multi-dimensional poverty is high in Nigeria with deprivations in health contributing the most. Northern Regions have a higher estimate. Results reveal that sex, age, number of adults, formal credit access, access to extension services and location characteristics are key determinants of multi-dimensional poverty. The MPI for Nigeria averaged 47 percent. Across regions, deprivation in the health dimension contributes about 44 percent to multi-dimensional poverty. Deprivation in living standards contributes 40.5 percent, while deprivation in education contributes 15.5 percent to multi-dimensional poverty.

Due to the nature of the data used, the health indicators (nutrition and child mortality) are absent but proxies are used instead. Future research could introduce gender dimensions.

Improving the involvement of rural farm households in non-farm self-employment sector could improve their livelihoods and prevent migration to urban centers, especially among the youths.

Improving the quality of health, education and living standards will lead to lower poverty levels in Nigeria. Farmers can best reduce their multi-dimensional poverty by engaging in more off-farm jobs.

This paper provides information to policy makers on the effect of different components of income from the off-farm sector on multi-dimensional poverty alongside with the determinants of multi-dimensional poverty at a national level for the rural farm households. By using MPI, the contribution of the different dimensions used in computing the MPI across the six geographical regions within the country is revealed. This provides policy makers with more information for development purposes.

This paper aims to present a multi‐dimensional measure of poverty. The proposed method has been applied to the Panel Set of Belgian Households dataset for Belgium for the years between 1994 and 2000.

First, a common model is decided upon by exploratory factor analysis, and applied by confirmatory factor analysis. Cluster analysis (CA) is then used to separate the multi‐dimensional poor. Finally, the possible causes of multi‐dimensional poverty are surfaced by estimating a discrete duration model.

The proposed method reveals three dimensions of poverty: “material deprivation”, “social deprivation” and “psychological health”. Between 9 and 11 per cent of the representative sample of Belgian individuals are poor. The paper also identifies causes of poverty, including not having a job, not having the Belgian nationality, having a poor health or a disability, being lower educated, experiencing financial poverty, being divorced or widowed, living in the Walloon or Brussels regions, and having a bad psychological health.

Research implications include the use of polychoric and tetrachoric correlations as a starting point of factor analysis, as well as the combination of factor analysis and CA.

The paper proposes an alternative multi‐dimensional measure of poverty. It argues that previous measures may suffer from categorisation errors and suggests a solution to this problem. The advantages of the proposed method are that all information is used to disentangle the poor from the non‐poor and that dimensions of poverty are defined using the correlations between deprivations. Finally, the paper identifies “psychological health” as one of the dimensions of poverty.

The purpose of this study was threefold: (1) to measure farmers' health poverty, (2) to examine the effect of health vulnerability on health poverty and (3) to identify countermeasures that may alleviate health poverty in rural China.

This study built a health poverty measurement model based on the multi-dimensional poverty framework to evaluate farmers' health vulnerability. Further, this paper used an econometric model to assess the impact of health vulnerability on health poverty. The sample for this study comprised 1,115 rice farmers from Hubei province, China.

The medical affordability poverty ratio was 17.95%, where farmers in the low-income group faced severe medical affordability poverty (27.46%). Results from the multi-dimensional analysis showed that, the health poverty ratios were 17.95 and 30.50%, respectively. Our results indicated that climate change vulnerabilities, living habits, medical facilities and medical accessibility were positively related to health poverty, whereas the regular physical examinations reduced mental health poverty.

Based on this study's findings, we proposed that: (1) to address illness-induced poverty among members of the agricultural community, national and provincial strategies and programs grounded on a multi-dimensional health poverty framework ought to be formulated and implemented, (2) mechanisms of health knowledge exchange may facilitate the improvement of farmers' health status, (3) robust and comprehensive metrics should be employed to understand and improve farmers' ability to absorb and mitigate the negative health impacts and (4) the improvement in both quality and quantity for medical facilities and medical affordability in the rural areas should be key priorities in governmental-wide initiatives.

Existing studies for alleviating poverty caused by disease mainly focus on medical service support to those economic vulnerabilities after a disease happens. However, few studies have focused on the root causes of poverty caused by disease, particularly from the preventive perspective of health vulnerability. To fill this gap, this study, therefore, proposes the health poverty index and analyzes the impact of health vulnerability on health poverty.

This paper aims to measure multi-dimensional poverty in Lagos State slums. This study is relevant because slums are becoming a present-day reality for urban cities and it is now paramount to understand the dynamics of deprivations suffered under various dimensions in the slums.

A multi-stage sampling technique is used to sample 400 respondents from five slums (Makoko, Iwaya, Ilaje, IjoraBadia and Amukoko) in Lagos State and information have gotten using a structured questionnaire. The fuzzy set approach to measuring multi-dimensional poverty index (MPI) is used in estimating the MPI for the slums.

The findings from the study show that although all the slums have varying MPI; however, the average MPI for the slums is 0.49. Further findings show that majority of the households are largely deprived in the education dimension, proceeded by the living standards dimension and finally, health dimension.

The current study focused on a few selected slums in Lagos State and findings show that it may be erroneous to absolutely adopt policy implications derived for other major slums in cities around the world.

This study advances the frontier of slum studies in Nigeria by following an analytical path in understanding the degree of poverty in the slums.

The purpose of this paper is to identify the hardcore poor, moderately poor and just poor among zakat recipients in southwest Nigeria. It seeks to explain the criteria and basis used in determining the most deprived among zakat recipients considering the multi-dimensional nature of poverty and modern-day situations.

Out of 200 questionnaires that were randomly distributed among the recipients of zakat from Al-Hayat Relief Foundation and Zakat and Sadaqat Foundation in southwest Nigeria, only 150 were completed. Headcount poverty index, poverty gap index, multi-dimensional index on standard of living, income ranges and monthly per-capita household expenditures using the national workers’ minimum wage as poverty threshold were adopted for analyzing the data collected.

On the basis of the income range of the recipients, 128 out of 150 recipients were found to be poor, whereas on using the MMPCHE 93 out of 150 recipients were found to be poor. Both results were further classified into hardcore poor, moderately poor and just poor recipients. The multi-dimensional index on standard of living was also used to capture poverty in terms of deprivation in standard of living, such as non-availability of electricity, drinking water, cooking fuel, sanitation, flooring and assets.

A limited number of recipients were evaluated in this study, and hence it would be difficult to generalize. Also, some recipients had difficulty in answering the survey questionnaire used in this study, which reduced the amount of information derived. Thus, an in-depth interview method coupled with a survey can be used in future studies.

The implication of this result is either that the threshold and measures adopted are not capturing the poor and the needy or that the zakat institutions are not reaching out enough to the poor and the needy eligible to receive zakat. This paper suggests the introduction of a more uniform and comprehensive zakat-based poverty threshold for the poor and the needy that will continuously be examined by Shariah scholars and researchers to best engage with the modern-day situation.

This paper examines the measures of poverty and concludes on the introduction of a well-comprehensive threshold that is Shariah compliant and based on the plight of the modern-day poor and needy, which can go a long way in achieving the objectives of zakat.

This study recommends a more comprehensive zakat-based poverty threshold that will capture the multi-dimensional nature of poverty in the present day for better outreach to the most deprived needy and poor.

As an alternative poverty analysis approach, the purpose of this paper is to map the patterns of multiple deprivation in all 13 administrative regions of Namibia using the National Household Income and Expenditure Survey data.

Unsupervised statistical learning methods including the principal component analysis, k-means clustering and bivariate analysis were applied.

The results show that the multiple deprivation approach is a useful alternative in characterising poverty dynamics in the country. Specifically, the mapping shows that other dimensions of poverty such as access to utilities and services among other things are equally useful welfare indicators as they scored higher than income and consumption on discriminant ability.

Unpacking the multi-dimensionality aspect of poverty has drawn significant attention from development economists and continues to play a major role in policy formulation for developing countries. The study recommends buttressing of conventional income poverty measures with multiple deprivation approaches for a comprehensive picture on poverty issues.

The purpose of the present study is to examine the inter-relationship between the multi-dimensional poverty and water poverty using household level data for Indian states.

A modified water poverty index (MWPI) for both rural and urban households was created using the five components approach and various quantifiable proxies. Principal component analysis (PCA) has been used for the construction of MWPI. Multidimensionality of poverty (MPI) is measured using the Alkire and Foster methodology. Further, the study has utilized correlation and Tobit regression analysis to show the relationship between MWPI and MPI.

The empirical findings suggest that there is a positive and significant relationship between multidimensional poverty and water poverty, with the extent of relationship being greater in rural areas. The results show that in rural areas all the components of water poverty has significant impact on multidimensional poverty, whereas in urban areas except use component all others have significant impact on multidimensional poverty. Further, components of multidimensional poverty were also found to be significantly impacting water poverty.

The study suggests that policymakers cannot treat both forms of poverty in isolation. If India aims to reduce poverty, then it needs to pay significant attention to improving water conditions.

This is a pioneering attempt to construct water poverty index at the household level while accounting for micro-level differences for Indian economy. It highlights that water poverty leads to multi-dimensional poverty and vice-versa.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-12-2021-0731.

This study aims to understand whether poverty alleviation can be realized in tourism via tourism cooperatives. As a fast growing industry in the world, tourism has accelerated economic development in many participating places. A large number of tourism cooperatives have emerged to capture conspicuous economic benefits from tourism in many rural areas of China. The role of tourism cooperatives has not yet been explored from the poverty alleviation perspective.

Two field trips to Yuhu Village, Lijiang, China, which included in-depth interviews, were conducted during August and December 2011, aiming at understanding the roles of tourism cooperatives in poverty alleviation. In-depth interviews with villagers (45) and mangers of tourism cooperative (5) were conducted. A systematic coding procedure including open, axial and selective coding was conducted with the software assistance of ATLAS.TI6.2.

Evidence from Yuhu suggested that resources and power changes, both of which are further divided into both individual and collective levels, are the main contributors to substantial improvements of the poor. Material and social resources were significantly accumulated. In addition, empowerment, referring to the improvements in status, legitimacy and capability/knowledge, facilitated villagers to obtain favorable policies. By embracing a more broad understanding of poverty, the tourism cooperative is proven to effectively alleviate the poverty suffering of Yuhu villagers.

Understanding poverty from a multi-dimensional perspective is deemed to be critical to reveal the actual story, as evidenced in this study, with analyzing resource flows and power changes at different stages of tourism development. By embracing a more broad understanding of poverty, the role of tourism cooperatives in poverty alleviation was able to be noticed and emerged from in-depth interviews. A systematic scrutiny has been carried out to examine the pro-poor effects brought about by tourism cooperatives.

The purpose of this paper is to examine the key sources of poor urban households’ relative success (or failure) in reducing poverty by income generation activities. It specifically investigates the conditions of informal employment in order to understand how and to what extent they affect households’ chances of success.

The data were drawn from interviews with 17 low-income households randomly selected from an informal gecekondu settlement based in the capital city of Turkey.

The research challenges the dominant viewpoint, which attributes success to having fewer dependants or more resources. It shows that success depends more on the benefit delivery capacity of resources and this depends largely on wider structural factors. Informal employment is found to constitute one key structural factor, which limits households’ chances of success to a greater extent than formal employment not only through condemning them to low pay but also through imposing more restrictions upon their access to state welfare.

The case study has significant implications for poverty research and measurement since it reinforces the idea that an improved understanding of poverty and its causes requires a multi-dimensional approach that takes into account the conditions of work extending beyond pay.

The study shows that substantial improvement upon the lives of poor households requires changes at the macro-level, and the adoption of an employment-centred approach where the priority is given to the creation of jobs with decent working conditions, tighter labour market regulation and effective enforcement of these regulations.

Through a qualitative as well as quantitative exploration of low-income households living in the periphery of the Turkish capital, the study empirically challenges the conventional wisdom about urban survival which overemphasises the resilience of poor people. It also contributes to the less developed parts of the research literature on informal employment through demonstrating its poverty-inducing effects. Furthermore, the study makes a theoretical contribution by developing a new conceptual framework that places informal employment within the wider context of household resources, livelihoods and poverty.

The analysis of poverty is fundamentally focused on examining the well-being condition of the poor. We usually neglect the information provided by the rich. Nevertheless, perhaps the non-considered information indicating the determinants of non-poverty is also useful for fighting against poverty. The purpose of this paper is to analyze poverty under a new angle i.e. focusing on the information provided by the non-poor instead of the poor. For that a richness index is calculated in order to estimate econometric models regressing both indices i.e. poverty and richness indices on same selected characteristics. Thus, the comparison of the determinants of poverty and non-poverty for Tunisian case have allowed the classification of the selected explanatory variables with significant effect into four categories: the variables having significant effect on both sides (permanent effect), the variables having significant effect on the poor but not on the non-poor (transitory effect), the variables having significant effect on the non-poor but not on the poor (insurance effect) and the variables without any effect on both cases (neutral effect). This procedure is thus important given that it provides additional information and new way to enhance the targeting efficiency of the poor and fighting against poverty.

Using Tunisian data, an original procedure is proposed for calculating a richness index, defined based on the common formula of calculating the poverty index. Next econometric models are estimated regressing both the indices i.e. poverty and richness index on same selected characteristics.

The comparison of the determinants of poverty and non-poverty have allowed the classification of the selected explanatory variables with significant effect into four categories: the variables having significant effect on both sides (permanent effect), the variables having significant effect on the poor but not on the non-poor (transitory effect), the variables having significant effect on the non-poor but not on the poor (insurance effect) and the variables without any effect on both cases (neutral effect).

The analysis and the classification of the determinants of poverty according to the determinants of non-poverty is never made before in the litterature. This procedure is important given that it provides additional information and a new way to enhance the efficiency of targeting the poor and fighting against poverty.