scholarly journals Factors influencing households’ vulnerability to desertification in rural communities of Northern Katsina, Nigeria

2021 ◽  
Vol 13 (3) ◽  
Author(s):  
Olanrewaju Yusuf Yahaya ◽  
Nurudeen Adesola Malik
Keyword(s):  
Rural Communities ◽  
Crop Yields ◽  
Group Discussion ◽  
Sampling Technique ◽  
Farm Households ◽  
Vulnerable Groups ◽  
Farm Income ◽  
Full Time ◽  
Factors Influencing ◽  
Household Heads

Rural livelihood and economic development in northern Nigeria has been characterised by the devastating effects of desertification. This paper provides an avenue to examine the peculiar factors influencing vulnerability to desertification among farm households of rural communities in desertification prone areas of Katsina State.  Data was collected from both primary and secondary sources. A systematic random sampling technique was employed to select 633 respondents in 18 rural communities from the six local government areas chosen for the study. The research instruments used were questionnaire, key informant interview and focus group discussion. Findings revealed that 93% of the respondents were from male-headed farm households, 71% were above 45 years of age and 80% have no basic primary education. Millet was the most important crop grown and 73% were full time farmers. The main perceived causes of desertification are climate change, deforestation, acts of God and environmental mismanagement. Effects of desertification were manifested in declining crop yields, loss of farmlands as well as the extinction of flora and fauna species. The factors influencing vulnerability of farm households to desertification were the ages of household heads, farming status, size of the households, access to non-farm income, migration and improved seed varieties (p < 0.05). The study, therefore, recommended the need to promote adult education, increase access to improved seed varieties and farm input, encourage livelihood diversification, intensified efforts towards effective management of environmental resources, and the involvement of vulnerable groups in the formulation and implementation of policies aimed at combating desertification.

scholarly journals Determinants of Rural Out-Migration in Habru District of Northeast Ethiopia

2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Beneberu Assefa Wondimagegnhu ◽  
Mesfin Eshetu Zeleke
Keyword(s):  
Rural Communities ◽  
Sampling Technique ◽  
Positive Outcome ◽  
Individual Characteristics ◽  
Primary Data ◽  
Scarce Resources ◽  
Northeast Ethiopia ◽  
Household Heads ◽  
Nonfarm Employment ◽  
Land Size

Migration has become a cause of concern at the global, regional, and national levels. Like the case of many developing countries, Ethiopia has been facing increasing challenges related to rural out-migration. This study aimed to analyze factors that determine rural communities’ decision to migrate to internal and international destinations in Habru district of Northeast Ethiopia. Stratified sampling technique has been employed to select a total of 200 household heads in three agroecologies of the study area. Structured questionnaires have been used as a principal primary data collection method and logistic regression has been employed for analysis. The results of the study showed that intravillage conflict, absence of relief assistant, livestock ownership, farm land size, access to information, and household and individual characteristics including family size, sex, and age of the migrants are the dominant determinant factors for rural out-migration. Migration can have a positive outcome in improving livelihoods if comprehensive and holistic policies and strategies are in place. There is also a need to strengthen the link between rural development policy and the disadvantaged groups by designing and implementing different livelihood alternatives including reducing pressure on scarce resources particularly land, integrating health and education services, and creating nonfarm employment opportunities.

scholarly journals The Impact Of Agricultural Extension Contact On Crop Income In Bangladesh

2013 ◽  
Vol 38 (2) ◽  
pp. 321-334 ◽  
Author(s):  
Abu Zafar Mahmudul Haq
Keyword(s):  
Random Sampling ◽  
Field Survey ◽  
Sampling Technique ◽  
Agricultural Extension ◽  
Farm Income ◽  
Extension Services ◽  
Factors Affecting ◽  
Factors Influencing ◽  
Crop Income ◽  
The Impact

The impact of extension contact on crop income is examined with a view to evaluating the agricultural extension in Bangladesh. The scope of the study was ten villages of Gazipur district. The objectives of the study are to i) determine the factors influencing the benefit of extension services in terms of farm income, ii) determine the factors affecting the extension contact of farmers, and iii) suggest some policy guidelines to improve the extension services in Bangladesh. The sample of the study consists of 1000 farmers. Data came from field survey and multistage random sampling technique was used in order to collect data. The results indicated that the impact of extension contact coefficient on crop income is positive and significant. Evidence shows that the influence of extension contact coefficient is strongly positive and significant in the comparatively nearer villages to upazila headquarters, while this effect is weaker for those villages, which are comparatively away from upazila headquarters. It is found that many farmers did not receive extension contact and the effect of extension contact is weak on crop income compared to other factors such as irrigation and chemical fertilizer. It is assumed that there was enough scope to increase extension contact in the study areas. Some determinants of extension contact were also examined. The study concludes that agricultural extension is necessary to increase among the farmers. Bangladesh J. Agril. Res. 38(2): 321-334, June 2013 DOI: http://dx.doi.org/10.3329/bjar.v38i2.15893

scholarly journals Forestland-dependent households: a primary agent of deforestation in Nigeria?

2019 ◽  
Vol 52 (1) ◽  
pp. 19-25
Author(s):  
Ayoade Matthew Adetoye
Keyword(s):  
Land Use ◽  
Sampling Technique ◽  
Household Survey ◽  
Continuous Cultivation ◽  
Quantitative Information ◽  
Farm Households ◽  
Farm Income ◽  
Probit Regression ◽  
Land Use Pattern ◽  
Primary Agent

Abstract Despite global concerns on environment particularly, issues on deforestation, there is a lack of quantitative information on deforestation drivers. The study investigates the role of farm households in deforestation process in Nigeria. Household survey data were obtained from 300 farm households with the aid of personally administered questionnaire through a multistage sampling technique. The data were used to answer a question on how farmers contribute to deforestation process in Nigeria. The data were analysed using descriptive statistics and Probit regression model. The results show that 64 % of the farmers gain access to cultivate already opened forestland through uncoordinated harvesting of forest trees while others still maintain sustainable forest land use practice – agroforestry. Sex (P < 0.05; β = 2.34), land security (P < 0.01; β = 2.94), personal preference for tree on farm land (P < 0.05; β = −2.45), and non-farm income (P < 0.05; β = 2.50) are factors influencing land use pattern among farm households. The study revealed that most farmers cultivate open forestland, but their continuous cultivation further enhanced forestland use change. The study concludes that rural farm households though one of the agents of forestland use change were found as opportunist and not mostly the primary agent initiating forestland use change in Nigeria. The study negates the conception of several past studies.

Social Capital and Community Development

2015 ◽  
pp. 153-168
Author(s):  
Adejoke C. Babalola
Keyword(s):  
Social Capital ◽  
Rural Communities ◽  
Local Government ◽  
Community Development ◽  
Informal Learning ◽  
Group Discussion ◽  
Research Work ◽  
Sampling Technique ◽  
Development Projects ◽  
Southwestern Nigeria

This chapter explores the types of informal learning that take place as women participate in adult literacy programs, community development projects, and as they use social capital in three states in south-western Nigeria. The data used for this study were extracted from a recent research work titled “Effect of Literacy Education and Social Capital on Rural Women's Involvement in Community Development in Southwestern Nigeria.” Three states were selected from the southwestern Nigeria, two Local Government Areas (LGAs) were selected from each of the three states, and two rural communities were also selected from each of the selected local government areas by random sampling technique. From each of the rural communities, 60 rural women were randomly selected, making a total number of 720 respondents. A structured questionnaire, an in-depth interview guide, and focus group discussion were used to collect data. The women attributed the informal learning documented to the relationship they formed during the period they attended literacy classes and participated in community development projects.

Residents vulnerability analysis and explanation of development-induced disasters in a Sub-Saharan African city

2019 ◽  
Vol 11 (1) ◽  
pp. 71-84
Author(s):  
Olasunkanmi Habeeb Okunola
Keyword(s):  
Disaster Preparedness ◽  
Quantitative Research ◽  
Sampling Technique ◽  
African City ◽  
Content Type ◽  
Factors Influencing ◽  
Resilient Communities ◽  
Sub Saharan ◽  
Household Heads ◽  
Major Factors

Purpose The purpose of this paper is to identify and analyze indicators for measuring residents’ level of social and physical vulnerability to human-induced disasters in disaster-prone communities of Lagos, Nigeria. Design/methodology/approach The study adopted the quantitative research method. Questionnaires were administered to household heads in three disaster-prone communities of Lagos, Nigeria. Using systematic random sampling technique, household heads’ opinions were sampled in 10 per cent of the buildings. This effort culminated in the sampling of 288 household heads in the three communities. Findings The study identified flood, fire outbreak and environmental pollution as the most prevalence disasters in the communities. State of infrastructure, housing conditions and residents’ socioeconomic characteristics were identified as the major factors influencing residents’ level of vulnerability to disasters in the communities. Research limitations/implications The study could be strengthened by looking at other disaster-prone communities in Nigeria with different cultural and political settings. Hence, the view presented in this paper may not be considered generalizable to other parts of the country with different cultural settings. Originality/value To build resilient communities in cities of developing countries, the paper of this nature is important to determine factors influencing residents’ level of vulnerability to disasters. This will aid in strengthening community-disaster preparedness in these countries.

scholarly journals Analysis of Household Participation in Urban Agriculture: Empirical Evidence from Urban Households in Kogi State, Nigeria

2020 ◽  
pp. 23-31
Author(s):  
M. K. Ibrahim ◽  
M. Haruna ◽  
U. M. Shaibu
Keyword(s):  
Urban Agriculture ◽  
Household Income ◽  
Sampling Technique ◽  
Simple Random Sampling ◽  
Primary Data ◽  
Easy Access ◽  
Farm Income ◽  
Urban Farm ◽  
Household Heads ◽  
Sufficient Food

The study analysed household participation in urban agriculture in Kogi State, Nigeria. It specifically; described the socioeconomic characteristics of the respondents; determined the factors that influence household participation in urban agriculture; and determined the effect of urban agriculture on household income. Simple random sampling technique was used to select 60 respondents each from four purposively selected peri-urban/urban centres in Kogi State: Lokoja (Zone A), Anyigba (Zone B), Okene (Zone C), and Idah (Zone D). Primary data obtained through questionnaire administration were analysed using descriptive and inferential statistical tools. Findings from the study revealed that 61.7% of the respondents were males and a mean age of 43 years was recorded. Married (90%) household heads dominated the respondents with a mean household size of 7 members. Education (β = -0.862), dependent (β = 1.904), marital status (β = 2.544), access to sufficient food (β = -2.495), employment status (β = 1.307) and access to land (β = 0.505) statistically influenced household participation in urban agriculture, while the OLS output indicated that urban farm income (β = 17.539) and non-farm income (β = 848.798) had significant effect on total household income. The study concluded that urban agriculture has the potential of improving the livelihood of urban dwellers. The study therefore recommends the integration of urban agriculture into urban development plan; easy access to land and other production inputs.

scholarly journals Nexus between Poverty and Child Labor: A Case Study in Narayanganj Area of Bangladesh Using Binary Logistic Regression

2021 ◽  
Vol 7 (11) ◽  
pp. 194
Author(s):  
Shamima Akter ◽  
Wasim Akram
Keyword(s):  
Logistic Regression ◽  
Child Labor ◽  
Odds Ratio ◽  
Group Discussion ◽  
Binary Logistic Regression ◽  
Sampling Technique ◽  
Drop Out ◽  
Poor People ◽  
Binary Logistic Regression Model ◽  
Household Heads

<p>The purpose of the study is to see how poverty influences child labor. To carry out the study, moderate poor people have been considered as respondents. Kalibazar and Langalband regions of Narayanganj district have been selected. Random sampling technique and Focused Group Discussion with children have been taken to conduct the study. Data has been collected from 50 Household Heads and 50 Children (male and female). For economic analysis, the Binary Logistic Regression model has been undertaken to see the relationship between poverty and child labor.  The analysis shows that the odds ratio indicates that drop-out children from school are 11.34 times more likely to go for taking the occupation of child labor due to poverty (major cause) than those children who have been dropped out due to other reasons (reference category). The study also shows that the families having no loan are 0.444 times less likely to go for child labor due to major causes (poverty) than that of the families having a loan. Moreover, the odds ratio corresponding to the children who use their income to help their families is 3.26. It means that the children who use their income for family purposes go 3.26 times more likely to take the occupation of child labor due to a major cause (poverty) than those children who do not use their income for family purposes. At the same time, the children who use their income for treatment purposes go 1.45 times more likely to take the occupation of child labor due to poverty (a major cause) than those children who do not use their income for treatment purposes.</p>

scholarly journals Market chain analysis of smallholder coffee producers in debub ari district of south omo zone, SNNPR, Ethiopia

2022 ◽  
Vol 11 (2) ◽  
pp. 61-68
Author(s):  
Y Alemayehu
Keyword(s):  
Group Discussion ◽  
Secondary Data ◽  
Sampling Technique ◽  
Price Setting ◽  
Market Chain ◽  
Multi Stage ◽  
Chain Analysis ◽  
Household Heads ◽  
Marketing Chain ◽  
Structured Questionnaire

This study mainly aimed at analyzing market chain analysis of coffee in the Debub Ari District. The descriptive and S-C-P model was used. Both primary and secondary data were collected from the study area. The multi-stage sampling technique employed for this study. A total of 194 coffee producer household heads have been randomly selected and interviewed with the help of pre-tested structured questionnaire. The focus group discussion and key informants interviews were conducted to supplement the formal data. The results of S-C-P model indicated that the four firms concentration ratio (CR4) result in the study area was found to be tight oligopolistic for both red and dry coffee which accounts 89.2 and 80.0%, respectively. About 72% of price setting was done by buyers, 27% negotiation and 1% by the producers. There are seven market channels, which have been identified in the study area. The computed marketing margin among different actors and channels indicated that the total gross marketing margin (TGMM) of coffee is high in channel I, II, III whereas the producers marketing margin (GMMp) was highest in channel VII. Therefore, the intervention is needed to improve coffee marketing chain through promoting cooperatives, infrastructural development and timely market information for efficient marketing system in the study area. Int. J. Agril. Res. Innov. Tech. 11(2): 61-68, Dec 2021

scholarly journals Analysis of Indigenous Communication Channels for Disseminating Agricultural Information: The case of North Gondar Zone

2018 ◽  
Vol 6 (07) ◽  
Author(s):  
Birhanu Melesse ◽  
Yenesew Sewnet ◽  
Beyene Derso ◽  
Tigst Petros
Keyword(s):  
Rural Communities ◽  
Focus Group ◽  
Information Dissemination ◽  
Group Discussion ◽  
Effective Means ◽  
Communication Channels ◽  
Household Survey ◽  
Educational Status ◽  
Household Heads ◽  
North Gondar Zone

In Ethiopia, information reaches to farmers mainly through indigenous and exogenous communication channels which include social gatherings, training, meetings, and conferences followed by learning through direct observation. Indigenous communication channels provides an effective means for rural communities to access various types of information related to their farming and day-to-day life. However, the practices and prospects of indigenous communication channels need policy-oriented research to analyze and facilitate meaningful interventions in the areas of agricultural information dissemination.  This study was initiated with the objective of identifying existing indigenous Communication Channels used by farm households, assess farmers perception of indigenous Communication Channels utilization to exchange agricultural innovation, analyze the challenges related to exchanging and disseminating of agricultural information with respect to indigenous knowledge and assess indigenous agricultural knowledge preservation practices in the North Gondar Zone. Data were collected from 120 sample household heads, 30 focus group discussants and key informants and both primary and secondary data were used for the study. Household survey, focus group discussion and key informant interview were used to triangulate and strengthen the data collected sample household heads. For the purpose of data analysis, descriptive statistics (frequency & percentage), and inferential statistics (chi-square test T-test) were used. The results of the study showed that 70% of the respondents highly preferred indigenous communication channels than exogenous communication channels. The most regularly preferred and utilized channel was Church (47.5%), followed by public meeting organized by the community (22.5%) where as village meeting  organized by the community (11.7%) and neighbors (6.7%) occupied the third and fourth position in the ranking. It was also indicated that the utilization of indigenous communication channels determined by age and educational status of respondents. In this regard elder and illiterate household heads preferred and utilized indigenous communication channels than exogenous communication channels. Based on the findings, the researchers recommended that indigenous communication channels utilization should be incorporated in the plan of Agricultural Extension Agents,  indigenous communication channels should be form as part of agricultural information dissemination package to encourage and facilitate exchanging of information by rural people, Policies, strategies and good practices with respect to indigenous communication channels have to be developed with active participation of primary stakeholders to utilize it effectively.

scholarly journals Assessment of Farm Households’ Vulnerability to Desertification in Rural Dry Lands of Katsina State, Nigeria

2021 ◽  
Vol 47 (3) ◽  
pp. 1007-1019
Author(s):  
Olanrewaju Y Yahaya
Keyword(s):  
Rural Communities ◽  
Random Sampling ◽  
Sampling Technique ◽  
Vulnerability Index ◽  
Farm Households ◽  
Vegetative Cover ◽  
Dry Land ◽  
Systematic Random Sampling ◽  
Dry Lands ◽  
Vulnerable Households

The purpose of this study was to use a Vulnerability Index (VI) to assess farm households' vulnerability to desertification in Northern Katsina's dry land ecosystem. The specific objectives were to identify socio-economic characteristics of farm households; and determine the degree of their vulnerability to desertification. A systematic random sampling technique was used to select 633 respondents from 18 rural communities across six Local Government Areas (LGAs). Data from 21 indicators for the three components of vulnerability (exposure, sensitivity and adaptive capacity) were used to measure the degree of vulnerability and thus, classify households into less, moderate and highly vulnerable. The study found that households in Jibia LGA were less vulnerable, with a VI of 1.228, while Kaita, Mashi, and Mai'adua LGAs were moderately vulnerable with VI of 0.523, 0.756, and 0.685, respectively. Households in Zango and Baure LGAs were found to be highly vulnerable due to poor biophysical conditions, with indices of 1.629 and -1.405, respectively. Furthermore, while 49% of the total households sampled were moderately vulnerable to desertification, 30% were less vulnerable and 21% were found to be highly vulnerable. As a result, the study recommended that the need for vegetative cover regeneration, soil quality rehabilitation, increased irrigation use, and biomass stability that take into account the vagaries of climate be prioritized in order to support, rescue, and increase the resilience of vulnerable households. Keywords: Adaptation; Desertification; Dry lands; Farm Households; Vulnerability Index

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