scholarly journals Effect of Deforestation on Rural Household Income in Selected Forest Dependent Commuinities in Odeda Local Council Area of Ogun State, Nigeria

2019 ◽  
pp. 1-10
Author(s):  
A. E. Osoba ◽  
T. A. Atanda ◽  
T. S. Bola
Keyword(s):  
Rural Communities ◽  
Household Income ◽  
Forest Products ◽  
Poverty Line ◽  
Household Size ◽  
Rural Household ◽  
Significant Variable ◽  
Low Literacy ◽  
Local Council ◽  
Ogun State

This study was carried out to examine deforestation and rural household income with a view to ensuring conservation. A multistage sampling procedure with a 3-stage design was used for this study. Questionnaire was used to elicit information from 120 respondents in Odeda local council area of Ogun State, Nigeria. Data collected were analyzed using descriptive and inferential statistics. The Foster-Greer-Thorbecke indices of poverty metrics was used to determine the poverty line of households. Smith’s saliency was used to determine the livelihood activities in selected communities. The result showed that respondents were gender sensitive, majority (58.3%) were male and (41.7%) female. On age, 41 – 50 (45.8%) years recorded the highest. The mean age was 50 years. Most of the respondents were married (68.6%) while majority, (52.5%) have low literacy level attaining only secondary education. Household size 1 - 5 recorded the highest, (76.7%) of the total population. Mean household size was 5. The study area was dominated by Yoruba (77.5%). Major occupation income recorded a mean of N17, 000 Naira while minor occupation income recorded a mean of N4308.37 Naira. Poverty line of N122, 700 Naira was determined with poverty incidence (P0) of (21.67%). The poverty gap (P1), (5.09%) indicating that an average respondent requires N6, 245.43 Naira to reach the poverty line. The poverty severity (P2) was (0.02) showing that the respondents were not poor because the value is far from 1. Socio economic factors promoting deforestation were identified among the respondents with marital status as the only significant variable (P<0.05) and a negatively coefficient value of -2.281. Conclusively, deforestation was identified with livelihood activities of the people such as hunting, farming and trading of forest products. Therefore, it is recommended that forestry extension programmes should be intensified in rural communities to minimize deforestation activities and promote eco-consciousness among the local people.

Rural household participation in markets for non-timber forest products in Zambia

2013 ◽  
Vol 19 (4) ◽  
pp. 487-504 ◽  
Author(s):  
Brian P. Mulenga ◽  
Robert B. Richardson ◽  
Gelson Tembo ◽  
Lawrence Mapemba
Keyword(s):  
Rural Communities ◽  
Household Income ◽  
Sustainable Forest Management ◽  
Crop Yields ◽  
Rural Livelihoods ◽  
Forest Products ◽  
Safety Net ◽  
Rural Household ◽  
Development Policies ◽  
Non Timber Forest Products

AbstractNon-timber forest products (NTFPs) support livelihoods in rural communities through provision of food, fuel, materials, medicines and income from sales. We estimated the contribution of NTFPs to rural household income in Zambia, and used a two-stage tobit alternative model to identify the factors associated with participation in NTFP markets. NTFPs accounted for 35 per cent of household income for participating households, second only to trading. Human capital variables and the value of assets were found to be significant determinants of both participation in business activities related to NTFPs and the associated household income, and the poor were more dependent on NTFPs than wealthier households. The effect of average rainfall underscores the role that NTFPs play in providing a safety net during periods of low crop yields. Rural development policies should recognize the role played by NTFPs in rural livelihoods and the need to balance welfare improvement and sustainable forest management.

What Is Wrong with the Poverty Line

2017 ◽  
Author(s):  
Yue Chim Richard Wong
Keyword(s):  
Life Cycle ◽  
Income Inequality ◽  
Household Income ◽  
Poverty Line ◽  
Household Size ◽  
Age Cohort ◽  
Line P

Using household income to measure income inequality and define poverty has many flaws. Comparing individuals and households of the same age cohort is far more likely to be meaningful, because it is comparing households with their peers who are at the same stage of their life cycle, have grown up in the same era, and have the same vintage of schooling. Age is the better choice for anchoring the poverty line, not household size.

scholarly journals Decomposition Analysis of Poverty among Rural Farming Household in Oyo State, Nigeria

2021 ◽  
pp. 77-85
Author(s):  
Adeleye Ifeoluwa A. ◽  
Obabire Ibikunle E. ◽  
Fasuan Yetunde O. ◽  
Babadiji Abike O.
Keyword(s):  
Poverty Reduction ◽  
Decomposition Analysis ◽  
Poverty Line ◽  
Structured Interview ◽  
Sampling Procedure ◽  
Household Size ◽  
Farm Size ◽  
Income Poverty ◽  
Low Literacy ◽  
Farming Households

The incidence of poverty in Nigeria is worrisome, and it has constituted a national menace. The occurrence of poverty incidence had been found to be more pronounced among Rural farming households in the country. However, paucity of data exists in terms of decomposition of household poverty into relevant subgroups using their socio-economic characteristics. Therefore, this paper assessed the decomposition analysis of poverty among rural farming Households in Oyo State, Nigeria using the data collected through a well-structured interview schedule from 170 respondents who were selected through a multi-stage sampling procedure. Data collected were described using frequency counts and percentage while poverty Indices was analyzed using Foster-Greer Thorbecke model and Decomposition analysis. The findings revealed that higher proportion (73.5%) of the respondents were above 40 years, 65.3% were male, 78.2% were married and 27.6% had secondary education, while 62.4% had household size of between 5 and 9 persons. Majority (79.4%) had farm size of more than 1.5 hectares and 62.9% had no access to remittance. Poverty incidence (P0) was 40.59%, Poverty depth/gap (P1) was 16.11% and Poverty severity (P2) was 0.09%, among the respondents using income-poverty line measure. Decomposition analysis showed that Poverty was high among households that were headed by male, young with low literacy level, and large household size. The severity of poverty was higher among households headed by labour of other farms. Effective poverty reduction strategies should therefore focus on education, livelihood diversification and control of household size.

scholarly journals Socio-economic contributions of forest products to livelihoods in Yewa north local government ogun State Nigeria

2021 ◽  
Vol 9 (1) ◽  
pp. 001-011
Author(s):  
Akinyode Olawumi ◽  
Esward Adeseye Alademerin ◽  
Sikiru Oluwole Banjo ◽  
Rachel Ijisekan
Keyword(s):  
Logistic Regression ◽  
Local Government ◽  
Forest Products ◽  
Household Size ◽  
Wild Plants ◽  
Farm Size ◽  
Ogun State ◽  
Medical Facilities ◽  
Household Assets ◽  
Forest Foods

The study assessed contributions of forest products to nutrition and livelihoods in Yewa North Local Government of Ogun State, Nigeria. The main objective of the study found out the socio-economic contributions of the forest foods towards livelihoods in Yewa North Local Government Area of Ogun State, Nigeria. The specific objectives; identified and described the socio-economic characteristics of the respondents, identified the available edible forest/wild plants and animals in the study area, determined the socio-economic factors influencing the use of forest foods in the study area as well as described major problems facing forest food collection, processing, marketing and consumption in the study area. Three hundred and fifty (350) respondents randomly selected from major communities were interviewed with questionnaire.  Data generated were analysed using descriptive statistics and logistic regression. Majority (65%) were males (88%) between 21 and 60 years. The principal household size was 6-10 (60%) persons; major occupation is farming (41%). Farm sizes were below a hectare. Majority (75%) lived in concrete houses and mud houses (22%). About half (45%) of the respondents uses water closets, pit latrines (32%) while 20% defecated in nearby bushes. Ninety percent possessed mobile phones for communication and 68% indicated availability of conventional medical facilities. Drinkable water was sourced from private boreholes (31%), public water (46%), streams (27%) and wells (12%). The source of energy is national grid (91%), kerosene stoves (56%) and firewood (28%). The respondents indicated high assets index in terms of household assets (81%) and farm assets (92%). Twenty-two plant species were identified of which 95% were eaten and twenty animal species were identified. Logistic regression model showed that sex and household size tended to increase the odds in favor of consumption of forest foods while age, educational farm size and tools owned tended to decrease consumption of forest foods. The principal problems confronting respondents were lack of storage facilities, poor transportation and shortage of wild foods during off seasons. The study concluded that forest products contribute significantly to livelihoods and recommends domestication and conservation.

scholarly journals Contributions of some non-timber forest products to household income of rural dwellers in Onigambari Forest Reserve, Oyo State, Nigeria

2021 ◽  
Vol 25 (9) ◽  
pp. 1587-1590
Author(s):  
E.O. Oladipupo-Alade ◽  
M.D. Oyedele ◽  
S.O. Rufai ◽  
T.A. Adebisi-Fagbohungbe ◽  
N.O. Haastrup ◽  
...  
Keyword(s):  
Household Income ◽  
Formal Education ◽  
Forest Products ◽  
Rural Household ◽  
Forest Reserve ◽  
Dependent Variables ◽  
Non Timber Forest Products ◽  
Household Heads ◽  
Rural Dwellers ◽  
The Relationship

The communities surrounding the forest reserve get their daily income from the sales of some of the non-timber forest products (NTFPs) as a means of survival for them and their house hold without proper documentation. The study described the socio-economic characteristics of the rural dwellers in the study area and determined the income made from some of these NTFPs. Data was generated through the use of structured questionnaires administered to 120 randomly selected rural household heads. Data obtained were described using frequency counts, percentages and mean scores; the relationship between dependent variables and independent variables of the study was tested using binomial test and logistic regression. Finding reveal that, non-timber forest products gathering in Onigambari was male dominated (72.3%), 78.1% were married and 38.1% had formal education. Contribution of income from non-timberforest products to total income of respondents in the State was 59.46%. It was concluded that the non-timber forest products  contribute significantly to rural household income at Onigambari forest Reserve Area of Oyo State, Nigeria

scholarly journals Contributions of non-wood forest products to household livelihood and poverty reduction among farmers in Enugu State, Nigeria

2020 ◽  
Vol 24 (1) ◽  
pp. 95-105
Author(s):  
Onyia Chukwuemeka Chiebonam ◽  
Anthonia Ifeyinwa Achike ◽  
Ogochukwu Gabriella Onah
Keyword(s):  
Food Security ◽  
Household Income ◽  
Poverty Reduction ◽  
Forest Products ◽  
Reticulitermes Flavipes ◽  
Household Size ◽  
Persea Americana ◽  
Household Food Security ◽  
Household Food ◽  
Bush Mango

The study analysed the contributions of species of NWFPs to farm household’s livelihood and poverty reduction. One hundred and twenty respondents were selected through multistage sampling procedure. Frequency, mean and likert scale and probit model were used for the analysis. The results indicated that the majority were male (63.33 %) and had mean age of 56 years. The most commonly collected plant species of NWFPs were bitter kola (Garcina kola), breadfruit (Treculia africana), bush mango (I.gabonenesis and wombulu), kola nut (Cola nitida), cashew nut (Anacardium occidentale), Icheku (Dalium guinese), African star apple (Chrysophylum albidium), Avocado pear (Persea americana), African bush mango (Dacryodes edulis) and Oil bean (Pentaclethra macrophylla) while the most commonly collected animal species of NWFPs were bee products (Apis mellifera linneaeus 1758), flying termites (Reticulitermes flavipes) and fish (Ictalurus punctatus). Wealth category and occupation positively and significantly increased the contributions of NWFPs to household food security. Educational level had negative and significant effect on the contributions of NWFPs to household food security. Household size and occupation positively and significantly increased the contributions of NWFPs to household income. Household size and occupation positively and significantly increased the contributions of NWFPs to household income. The result of the proportion of household income from NWFPs shows that 54.43% indicated that species of NWFPs constituted over 50% of their household income.Keywords: Non wood forest products, household income

scholarly journals Scissors Difference of Socioeconomics, Travel and Space Consumption Behavior of Rural and Urban Households and Its Impact on Modeling Accuracy and Data Requirements

2019 ◽  
Vol 11 (19) ◽  
pp. 5534
Author(s):  
Ming Zhong ◽  
Qi Tang ◽  
Xiaofeng Ma ◽  
John Douglas Hunt
Keyword(s):  
Household Income ◽  
Household Size ◽  
Rural Household ◽  
Travel Distance ◽  
Urban Households ◽  
Rural And Urban ◽  
Study Results ◽  
Household Mobility ◽  
Modeling Accuracy ◽  
Data Requirements

It is believed that the “scissors difference” of socioeconomics between rural and urban households in typical municipalities of China is significant. This may result in differences in their behavior and has important implications for urban land use and transportation planning policies, as well as related modeling accuracy and data requirements. However, detailed analyses regarding such “scissors differences” between rural and urban groups in China have not been done before. In this study, travel survey data collected from the City of Wuhan in 2008 is used to study if rural and urban households are statistically different in terms of household income, household size, space consumption, highest household mobility and travel distance. A set of statistical tests, such as the Kolmogorov–Smirnov test, Mann–Whitney U test and Kruskal–Wallis H test, are applied to the study data. The study results show that the “scissors difference” is found to be statistically significant in terms of household size (HS), household income (HI), building area (BA) consumed and household mobility (except for travel distance) between rural and urban households. Conversely, analyses applied to travel distance of urban and rural household subgroups (categorized by HS and HI) reveal that the urban and rural counterparts show almost exactly opposite behavior. The study results also suggest that such differences should be explicitly considered in relevant modeling exercises by separately setting up urban and rural household groups, but the number of household groups used should be determined based on a balance between modeling accuracy and data required/modeling workload.

scholarly journals Impact of COVID-19 on Smallholder Poultry Farmers in Nigeria

2021 ◽  
Vol 13 (20) ◽  
pp. 11475
Author(s):  
Oladeji Bamidele ◽  
Tunde Adegoke Amole
Keyword(s):  
Food Security ◽  
Rural Communities ◽  
Production Systems ◽  
Poverty Line ◽  
Household Size ◽  
Sub Saharan Africa ◽  
Poultry Production ◽  
Monthly Income ◽  
Poultry Farmers ◽  
The Impact

In sub-Saharan Africa, most households in rural communities keep smallholder poultry, and are exposed to harsh socio-economic conditions caused by COVID-19 pandemic due to the vulnerability of their production systems to crisis. This study assessed the impact of COVID-19 on 525 smallholder poultry farmers in five states of Nigeria. The study was conducted 15 months after the onset of the pandemic in Nigeria using structured questionnaires focused on socio-demography, income, production systems, markets, and food security. Average household size increased from 6.9 before COVID-19, to 8.3 during COVID-19, representing a 20.3% increase in population growth. Over half (52.6%) of this increase was due to childbirths. Average monthly income before and during the pandemic was reduced from NGN 22,565 (USD 62.70) to NGN15,617 (USD 38.10), respectively. During the pandemic, there was a 28.4% increase in the number of farmers living below the international poverty line of USD 1.90 per day. In addition, reliance on chickens for food and income was significantly (p < 0.05) impacted by gender, location, household size, and monthly income. These results show that the COVID-19 pandemic had a significant effect on the livelihoods and food security of farmers, and the findings are essential in developing appropriate post-COVID-19 interventions for smallholder poultry production in Nigeria.

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