Contribution of Maize-based Products to the Livelihood of Smallholder Processors in Rural Northern Nigeria

2021 ◽  
pp. 097300522199824
Author(s):  
Ojide Gabriel Makuachukwu ◽  
Maziya-Dixon Busie ◽  
Abdoulaye Tahirou
Keyword(s):  
Rural Communities ◽  
Purchase Power Parity ◽  
Poverty Line ◽  
Poverty Trap ◽  
Northern Nigeria ◽  
Power Parity ◽  
Poverty Level ◽  
Group Discussions ◽  
Maize Production ◽  
Cycle Of Poverty

In the smallholder value chains of maize, diversification of utilisation is an essential strategy towards enhancing the benefits drivable from the increase in maize production. This article identifies the contribution of maize-based products on poverty level among smallholder processors. The study, which was conducted in 30 rural communities in northern Nigeria, involved Focus Group Discussions and survey of 300 smallholder processors of maize-based products. Descriptive and inferential analyses were used. The results show that average annual profit among the interviewed smallholder processors of maize-based products was approximately N425,506 (about US$1,400). These processors faced several constraints which tend to keep them under poverty trap (vicious cycle of poverty). The result of the estimated two-step Tobit model shows that, with necessary interventions, profit from maize-based products has the capacity of keeping these processors out of poverty trap. The result indicates that as profit from maize-based products increases, the poverty probability index that household is not below poverty line of $1.90/day at 2011 purchase–power parity increases ( p < 0.05). Thus, household poverty among rural smallholder processors of maize-based product could be reduced drastically through interventions targeted at mitigating the identified constraints.

scholarly journals EXPLORING FARMERS’ PERCEPTIONS OF CLIMATE SMART AGRICULTURE: EVIDENCE FROM NORTHERN NIGERIA

2020 ◽  
Vol 4 (3) ◽  
pp. 121-131
Author(s):  
Fanen Terdoo
Keyword(s):  
Rural Communities ◽  
Climate Impacts ◽  
Northern Nigeria ◽  
Group Discussions ◽  
Target Groups ◽  
Increase Productivity ◽  
Smart Agriculture ◽  
Older Farmers ◽  
Published Research ◽  
Local Farmers

The aim of climate-smart agriculture (CSA) is to help farmers increase productivity, adapt their methods, become resilient to climate impacts and reduce their greenhouse gas emissions. However, there has been little published research on the perceptions and knowledge of farmers as to how this approach can fulfill its potential, especially in Africa. This paper presents a study based on interviews and group discussions conducted among farmers in some rural communities in Northern Nigeria. It reveals that the strength of CSA lies in its ability to integrate agricultural productivity with environmental targets and address the livelihood needs and cultural biases of local farmers. It also identified differences in the perception of different groups within society. For example, the younger farmers who possess little farmland showed optimism in the potential of the CSA approach to address livelihood and environmental challenges while the older farmers with larger farmlands were generally uncertain and suspicious. The analysis of interviews presented could be used to identify target groups on which to focus CSA, assuming that groups with a significantly greater proportion of farmlands could have more impact on the environment. The study suggests a continuous effort is made to develop knowledge and build capacity of local farmers and experts. Lessons from this study are important in developing the knowledge and capacities that will make CSA a reality. Further studies across Africa which take local specificities and priorities into consideration are needed.

scholarly journals Economics of healthcare access in low-income and middle-income countries: a protocol for a scoping review of the economic impacts of seeking healthcare on slum-dwellers compared with other city residents

BMJ Open ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. e045441
Author(s):  
Noemia Teixeira de Siqueira-Filha ◽  
Jinshuo Li ◽  
Eliud Kibuchi ◽  
Zahidul Quayyum ◽  
Penelope Phillips-Howard ◽  
...  
Keyword(s):  
Economic Impact ◽  
Scoping Review ◽  
Low Income ◽  
Purchase Power Parity ◽  
Healthcare Access ◽  
Well Being ◽  
Power Parity ◽  
Middle Income ◽  
Slum Dwellers ◽  
Scoping Reviews

IntroductionPeople living in slums face several challenges to access healthcare. Scarce and low-quality public health facilities are common problems in these communities. Costs and prevalence of catastrophic health expenditures (CHE) have also been reported as high in studies conducted in slums in developing countries and those suffering from chronic conditions and the poorest households seem to be more vulnerable to financial hardship. The COVID-19 pandemic may be aggravating the economic impact on the extremely vulnerable population living in slums due to the long-term consequences of the disease. The objective of this review is to report the economic impact of seeking healthcare on slum-dwellers in terms of costs and CHE. We will compare the economic impact on slum-dwellers with other city residents.Methods and analysisThis scoping review adopts the framework suggested by Arksey and O’Malley. The review is part of the accountability and responsiveness of slum-dwellers (ARISE) research consortium, which aims to enhance accountability to improve the health and well-being of marginalised populations living in slums in India, Bangladesh, Sierra Leone and Kenya. Costs of accessing healthcare will be updated to 2020 prices using the inflation rates reported by the International Monetary Fund. Costs will be presented in International Dollars by using purchase power parity. The prevalence of CHE will also be reported.Ethics and disseminationEthical approval is not required for scoping reviews. We will disseminate our results alongside the events organised by the ARISE consortium and international conferences. The final manuscript will be submitted to an open-access international journal. Registration number at the Research Registry: reviewregistry947.

scholarly journals The Role of Human Capital Factors on Poverty in Informal Settlement: Informal Settlement of Sheikh-Hasan, Mashhad City, Iran

2017 ◽  
Vol 10 (4) ◽  
pp. 22
Author(s):  
Javad Barati ◽  
Sahar Soltani ◽  
Simin Froogh-Zadeh ◽  
Farzaneh Razaghian
Keyword(s):  
Human Capital ◽  
Urban Poverty ◽  
Informal Settlement ◽  
Household Head ◽  
Informal Settlements ◽  
Poverty Line ◽  
Education Level ◽  
Poverty Level ◽  
Mashhad City ◽  
Household Members

This paper investigates the determinants of multi-dimension poverty in informal settlements of Mashhad City. It specially analyzes human capital factors, among factors that influence poverty level. Education, skills, experience and knowledge have important role in promoting income level and in access to sustainable jobs, especially in informal settlements that have lower human capital level than the urban areas other. Mashhad city has most marginal settlements in Iran. Sheikh-Hasan Neighborhood in Mashhad Municipality region 4 has been selected as case study. This study is based on information gathered from household level in 2016 and the ordered logit model is employed to estimate factors influencing urban poverty. Data were obtained from 300 households using the questionnaire Through the Systematic Random technique. Calculation of poverty indexes reveals that nearly 87% of households are below absolute poverty line and 20% of households are below extreme poverty line. Marginal effects show variables of “job stability”, “Ownership”, “Household size” and “Education of household head” have the greatest impact on poverty alleviation. Also, variables of “Education level” and “highest level of education of household members” have positive effect and significant on poverty. Results represent that poverty in informal settlements of Mashhad is strongly linked to factors such as human capital. In addition, with increasing the level of knowledge of household heads and creation of favorable conditions for increasing of the education level of household members can reduce poverty.

scholarly journals The economics the correlation issues in EU-28

2016 ◽  
Vol 5 (1-2) ◽  
pp. 77-82
Author(s):  
Yaser Mueeth A. Alkahtani ◽  
Zoltán László Szabó ◽  
Gan Quan
Keyword(s):  
Social Protection ◽  
Purchase Power Parity ◽  
Strong Correlations ◽  
Power Parity ◽  
Member States ◽  
Average Value ◽  
Bartlett’S Test ◽  
Statistical Program ◽  
The Eu

In this case study the analyses focus on the some correlation compares among EU-28 member states. Also the analyses focus on the wide side overview for the EU-28 member states using eight variances of three principal components for EU-28. The economic growing rate of EU-28 member states concerning some economic issues as GDP growing rate, employment, unemployment accompanying with social protection and government debt, price fluctuating, purchase power parity of consumers and also probably lifelong learning. The eight numbers according to each variance give the average value of KMO, which shows in the first line of T able T. KMO and Bartlett's Test, namely 0.628. In this case all of other variances expect RisPov2014 have strong correlations with themselves. The LLeam2014 has the strongest correlations by value of 0.767 (76%), also the GovDebt2014 has strong one, by 0.744 (74%), HICPan2014 has 0.731 (73%), the GDPcap2014 has value of 0.706 (70.6%). This SPSS statistical program can help to make clear overview for the correlations and differences among EU-28 member states from different issues and approaches, as variances. Also it is important, when the researchers choose these variances; they should know that the correlations among variances based on the principle components. These last one can select variances into different components, which mostly can explain the role and importance of each variance.

scholarly journals Food security issues in the economic security system of the Republic of Armenia

2021 ◽  
Vol 36 ◽  
pp. 08004
Author(s):  
M.G. Manucharyan
Keyword(s):  
Food Security ◽  
Rural Communities ◽  
Agricultural Production ◽  
Food Production ◽  
Food System ◽  
Raw Materials ◽  
Economic Security ◽  
Security Level ◽  
Poverty Level ◽  
The Republic

One of the most important components of national security is food security. The country's food security is mainly ensured through the development of agriculture, food production and food import systems. The main problems of the development of the agri-food system of the republic were the increase of the level of provision of the population with food, the increase of the level of economic protection of the country, which, first of all, requires an increase of agricultural production to provide the population with locally produced food products, raw materials to the processing industry as much as possible, as well as to increase export volumes. The main goal of the research is to develop and outline the ways of further development of the RA food self-sufficiency based on the development of agricultural production. Based on the analysis of the current situation in the agricultural market, to propose a set of economic development measures, which will contribute to the increase of the food security level, the development of the agri-food system, the reduction of the poverty level of the rural communities. The research substantiated the preconditions for further growth of agricultural production, as a result of comprehensive studies and analyzes, the main directions of improving food production and increasing efficiency were outlined, which conditioned the scientific novelty.

scholarly journals Effect of Extension Training on Technical Efficiency of Maize Farmers in Ogbomoso Agricultural Zone of Oyo State, Nigeria

2021 ◽  
Vol 8 (9) ◽  
pp. 210-217
Author(s):  
Akintonde J. Oluwole ◽  
Akintaro O. Segun ◽  
Rahman S. Bayonle
Keyword(s):  
Rural Communities ◽  
Technical Efficiency ◽  
Crop Production ◽  
Sampling Procedure ◽  
Interview Schedule ◽  
Extension Services ◽  
Maize Production ◽  
The Mean ◽  
Multistage Sampling ◽  
Selection Of

The efficiency of any entrepreneur is a function of personal production skill, knowledge and experience acquired over time and exposure via training in the field of his or her enterprise focus. It is on this premise that this study examined the effect of extension training on technical efficiency of maize farmers in Ogbomoso Agricultural Zone, Oyo State, Nigeria. Multistage sampling procedure was adopted for the selection of One-hundred and Eighty-One (181) maize farmers, while structured and validated interview schedule was used to obtain necessary information from the sampled respondents. Data collected were analyzed using both descriptive and inferential statistical tools. The mean age of sampled farmers was 48 years and majority (80.1%) of the farmers was male. The farmers with extension contact have access to different extension trainings on maize production in the study area. The average household sizes were 7 and 8, with the average farm sizes of 1.423ha and 1.417ha for both contact and non-contact maize farmers respectively. Those farmers with extension contact were found to be technically efficient than non-contact farmers. Significant relationship existed between some selected socio-economic characteristics of both sampled maize farmers and their maize output. The study therefore suggests the need to create more awareness on the roles of extension services on crop production among farmers and the authorities concern with extension service delivery should improve on the frequency of extension contact in order to encourage farmers' participation in extension activities in the study area and rural communities in Nigeria at large. Keywords: Extension training, technical efficiency, contact and non-contact maize farmers.

scholarly journals Does Agricultural Performance Contribute to Rural Poverty Reduction in Indonesia?

JEJAK ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 69-83
Author(s):  
Muhammad Amir Arham ◽  
Ahmad Fadhli ◽  
Sri Indriyani Dai
Keyword(s):  
Rural Communities ◽  
Income Distribution ◽  
Government Policy ◽  
Rural Areas ◽  
Poverty Reduction ◽  
Agricultural Sector ◽  
Rural Poverty ◽  
Poor People ◽  
Poverty Level ◽  
Agricultural Performance

Agriculture is the primary sector in many provinces in Indonesia. In fact, most of the rural communities work in the agricultural sector. Nevertheless, the poverty level in rural areas remains high. Therefore, this study was aimed at investigating the performance of the agricultural sector in reducing the rural poverty level in Indonesia, and to investigate factors that contribute as a determinant in reducing rural poverty level in Indonesia. This study was significant, considering that the result was to contribute to government policy evaluation in the agricultural sector, especially in reducing poverty in rural areas. This study used quantitative analysis through multiple regressions with data panel from 2014 to 2017 from 33 provinces in Indonesia. This study revealed that the increase of agricultural sector share and the widening of the income distribution had caused an increase in poor people in a rural area. This finding also revealed that the income distribution gap was a determinant to the severity of rural poverty. The growth in the agricultural sector to contribute toward the economy could reduce rural poverty level in Indonesia. Meanwhile, agricultural financing, economic growth, inflation, and the farmer exchange rate had not significantly contributed to reducing the poverty level.

Changes over Time in Individual Countries

2018 ◽  
pp. 173-184
Author(s):  
Gary S. Fields
Keyword(s):  
Purchasing Power Parity ◽  
Poverty Line ◽  
Practical Experience ◽  
Job Security ◽  
Power Parity ◽  
Employment Creation ◽  
Successful Employment ◽  
Changes Over Time ◽  
Sizeable Number ◽  
Over Time

Of the world’s 6.7 billion people (as of 2008), 1.3 billion lived on less than $1.25 Purchasing Power Parity dollars per person per day and another 1.7 billion lived on between $1.25 and $2.50 PPP dollars. The scourge of absolute economic misery among billions of the world’s people is one of the most serious problems facing humankind today. Unemployment (defined below) befalls about 200 million of the world’s people - a sizeable number but small compared to the three billion people who are poor using the $2.50 PPP dollar poverty line. A much larger number – 900 million – are employed but earning so little that they and their families are unable to reach even $2 per person per day. They are working hard and they are the working poor. To achieve more and better employment (where “better” depends on such factors as rate of pay, job security, employment protections, and type of work), analysts and donors need to understand better how employment, growth, poverty, and other factors interact, how unemployment is caused, and how employment can be improved. At the same time, drawing on practical experience, research can identify knowledge gaps that to date pose limits to successful employment creation policy.

scholarly journals Poverty Measure Based on Hesitant Fuzzy Decision Algorithm under Social Network Media

Symmetry ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 384 ◽  
Author(s):  
Suwei Gao ◽  
Kaiyang Sun
Keyword(s):  
Fuzzy Set ◽  
Rural Areas ◽  
Poverty Line ◽  
Poverty Level ◽  
Nutrition Survey ◽  
Decision Algorithm ◽  
Poverty Measure ◽  
Line Method ◽  
Health And Nutrition ◽  
Fuzzy Function

This study aims to solve the problem that the traditional method of measuring the poverty level in rural and urban areas of China from a purely monetary perspective can’t comprehensively analyze and reflect the poverty. In this study, a multidimensional poverty measurement model with non-monetary indicators is proposed, the data of families and their members provided by the China Health and Nutrition Survey (CHNS) of a certain year’s health and nutrition survey in China are used for analysis, and a fuzzy set method is adopted to analyze the poverty situation in various regions of China. First, the fuzzy function set method is used to calculate the one-dimensional poverty index. On the basis of income, the multi-dimensional poverty fuzzy index is calculated from five dimensions, including education, health, assets, and living standard. The calculation results of the single-dimensional poverty and the multi-dimensional poverty are compared to further analyze the reasons of the family poverty of rural residents. Second, the poverty rate of each dimension in each region is calculated by referring to the appropriate measurement indexes of each dimension of the message passing interface (MPI) team. The results show that the concept of measuring poverty by the fuzzy set method is more sensitive to the overall distribution of population in the poverty dimension than the poverty line method. Compared with the poverty line method, the fuzzy set method can better consider the overall distribution of population in poverty dimension. Accordingly, China should strengthen the infrastructure construction in rural areas, increase the investment in education in rural areas, and improve the overall quality of the poor population.

Measuring Global Poverty

2017 ◽  
Author(s):  
Shatakshee Dhongde
Keyword(s):  
Purchasing Power Parity ◽  
Karl Marx ◽  
Adam Smith ◽  
Multidimensional Poverty ◽  
Poverty Line ◽  
Common Belief ◽  
Global Poverty ◽  
Power Parity ◽  
The World ◽  
Development Goals

Economists have long been preoccupied with trying to understand the nature and causes of poverty. From Adam Smith to David Ricardo, Thomas Malthus, Karl Marx, and John Stuart Mill, a common belief among economists is that the benefits of economic growth are rarely experienced by the poorer sections of society. An important issue is how to measure global poverty accurately. International organizations such as the United Nations and the World Bank have endeavored to measure global poverty since the adoption of the Millennium Development Goals (MDG), stated in the UN’s Millennium Declaration which was adopted in 2000 by 189 nations. However, measuring global poverty is far from simple. Estimates of poverty and particularly of global poverty are very sensitive to the underlying assumptions, such as the notion of poverty itself, the choice of welfare indicator, the unit of measurement used, and purchasing power parity rates. One of the significant advances in global poverty studies was the World Bank’s introduction of a poverty line in the 1990 World Development Report (WDR). Despite these efforts, the precise number of poor in the world remains ambiguous. Nevertheless, emerging frontiers in poverty analysis indicate new interest in measuring poverty more broadly. Some ideas that may dominate the future of poverty research include multidimensional poverty, vulnerability to poverty, and chronic poverty.

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