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.

scholarly journals Determinants of forest land use decisions among rural farm households in south-western Nigeria

2018 ◽  
Vol 51 (2) ◽  
pp. 83-91
Author(s):  
Ayoade Matthew Adetoye ◽  
Samuel Ayodele Adewuyi ◽  
Dare Akerele
Keyword(s):  
Land Use ◽  
Land Tenure ◽  
Sampling Technique ◽  
Sustainable Land Use ◽  
Farm Households ◽  
Primary Data ◽  
Forest Land ◽  
Land Use Decisions ◽  
Choice Proportion ◽  
Multistage Sampling

Abstract The study examined factors determining forest land use decisions among rural farm households in south-western Nigeria. Primary data on socio-economic and community characteristics as well as land use systems were obtained from 300 farm households using a structured questionnaire through a multistage sampling technique. The study revealed that marital status (P < 0.01), gender (P < 0.01), land tenure security (P < 0.01), dominant crop type (P < 0.05), and preference for tree on farm land (P < 0.01) are factors influencing forest land use decision in either agroforestry, pure cultivation or in both practices. Land use choice proportion estimation shows that 63 % are still willing to retain their existing land use practice (pure cultivation). A total of 32 % are willing to shift completely from their existing land use practice while 4 % of the respondents are willing to practice both “agroforestry and pure cultivation” simultaneously. The study therefore suggests the need for a change in forest land use policy, particularly, with a view influence the pattern of use, limitation on type of crop that can be grown, and compliance to sustainable land use practice. This would go a long way in driving forest land use towards agroforestry – a practice identified as a means of ensuring food security while ensuring safe environment.

scholarly journals Factors influencing the change in purpose of land use of households at Lac Duong district, Lam Dong province

2019 ◽  
Vol 02 ◽  
pp. 19-26
Keyword(s):  
Land Use ◽  
Farm Households ◽  
Probit Regression ◽  
Large Area ◽  
Production Methods ◽  
The Status ◽  
Current Context ◽  
Household Members ◽  
Advanced Production ◽  
The Impact

The article aimed to investigate the effects of socio-economic and demographic characteristics of the households, the land area, and the occupation of household members in Lac Duong district, Lam Dong province, on the change in purpose of land use. The data for this analysis were collected in 2016 by surveying of 340 farm households in two administrative divisions (Dasar commune and Lac Duong town, Lac Duong district). The paper used the Probit regression method to measure the impact of independent variables on the probability of farm households changing land use purposes. The results showed that other production potentials on the land were maintained despite the limited use of land and income, which directly affected the decision to change the land use of farmers. The status of Lac Duong district affected the purpose of land use. The current context of the district suggested that this district is still a rural area, not strongly affected by urbanization, although the location is very close to Da Lat city and this district has large area of farmland. It is not necessary to change the land use purpose. Farmers can use advanced production methods such as hi-tech agriculture, urban agriculture, and agro-tourism. The further confirmation of results presented here from future studies is necessary.

Economic Analysis of Non-Farm and Off-Farm Income Sector: A Way Ahead in Making Farmers Income Profitable

2021 ◽  
pp. 112-119
Keyword(s):  
Public Investment ◽  
Rural Households ◽  
Sampling Technique ◽  
Farm Households ◽  
Farm Income ◽  
Small Farmers ◽  
Income Diversification ◽  
Agricultural Income ◽  
Income Sources ◽  
Multi Stage

Income diversification is an important strategy to augments income among small and marginal farmers. This study evaluated the income diversification among farm households in the Ariyalur district. A multi-stage sampling technique was used, and 115 rural households were selected by applying Arkin and Colton formula. The data collected were analyzed using the Herfindahl index and Gini-coefficient. The results showed that the average number of income sources accessed by all marginal farmers is about 1.81, and small farmers are about 1.90, and small farmers had an income diversification range of 0.64 to 0.65, which is a medium diversification category. When the non-farm and off income were considered together with agricultural income, the overall income inequality dropped. The results suggested that the local government should take serious steps to create employment avenues for smallholders outside agriculture that provide credit, training, and necessary inputs to rural households and recommended for public investment in rural infrastructures, such as roads and bridges, telecommunications, education, energy, and water.

scholarly journals Analyzing the Determinants of Non-farm Income Diversification of Farm Households in Peshawar District of Pakistan

2016 ◽  
Vol 9 (1) ◽  
pp. 33-48 ◽  
Author(s):  
Nazish Kanwal ◽  
Muhammad Ammad Khan ◽  
Zhihao Zheng
Keyword(s):  
Agricultural Sector ◽  
Full Employment ◽  
Sampling Technique ◽  
Ordinary Least Squares ◽  
Farm Households ◽  
Living Standard ◽  
Farm Income ◽  
Least Squares Regression ◽  
Income Diversification ◽  
Statistical Measures

Abstract The agricultural sector in Pakistan is not well-established to provide full employment opportunities and sufficient income for needed living standard to the rural population. Stagnant agricultural productivity and low returns in farming have led rural residents to look for alternative livelihoods, especially non-farm employment. With this background, the present study is an endeavor to empirically determine the factors of non-farm income diversification of rural farm households in Peshawar district of Pakistan. The study was undertaken in four villages and data was amassed from 196 small farming households by using the multi-stage sampling technique. The data were analyzed using the descriptive statistical measures, the mean of income shares approach and the ordinary least squares regression analysis. The results indicate that in all the selected villages, the pattern of non-farm employment was more or less the same; however, the income from non-farm employment activities had an important contribution towards incrementing the absolute income of farm households. Non-farm income diversification is hence crucial for sustaining livelihoods and an integral dimension for invigorating rural economies. Therefore, the study recommends the promotion of non-farm employment as a good strategy for supplementing the income of small farmers without shifting attention from agriculture.

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 forest land use decisions among rural farm households in south-western Nigeria

2018 ◽  
Vol 51 (2) ◽  
pp. 83-91
Author(s):  
Ayoade Matthew Adetoye ◽  
Samuel Ayodele Adewuyi ◽  
Dare Akerele
Keyword(s):  
Land Use ◽  
Land Tenure ◽  
Sampling Technique ◽  
Sustainable Land Use ◽  
Farm Households ◽  
Primary Data ◽  
Forest Land ◽  
Land Use Decisions ◽  
Choice Proportion ◽  
Multistage Sampling

Abstract The study examined factors determining forest land use decisions among rural farm households in south-western Nigeria. Primary data on socio-economic and community characteristics as well as land use systems were obtained from 300 farm households using a structured questionnaire through a multistage sampling technique. The study revealed that marital status (P < 0.01), gender (P < 0.01), land tenure security (P < 0.01), dominant crop type (P < 0.05), and preference for tree on farm land (P < 0.01) are factors influencing forest land use decision in either agroforestry, pure cultivation or in both practices. Land use choice proportion estimation shows that 63 % are still willing to retain their existing land use practice (pure cultivation). A total of 32 % are willing to shift completely from their existing land use practice while 4 % of the respondents are willing to practice both “agroforestry and pure cultivation” simultaneously. The study therefore suggests the need for a change in forest land use policy, particularly, with a view influence the pattern of use, limitation on type of crop that can be grown, and compliance to sustainable land use practice. This would go a long way in driving forest land use towards agroforestry – a practice identified as a means of ensuring food security while ensuring safe environment.

scholarly journals Adoption of agricultural practices with climate smart agriculture potentials and food security among farm households in northern Nigeria

2020 ◽  
Vol 5 (1) ◽  
pp. 751-760
Author(s):  
Funminiyi Peter Oyawole ◽  
Adewale Oladapo Dipeolu ◽  
Adebayo Musediku Shittu ◽  
Abiodun Elijah Obayelu ◽  
Thomas Oladeji Fabunmi
Keyword(s):  
Food Security ◽  
Agricultural Practices ◽  
Farm Households ◽  
Farm Income ◽  
Northern Nigeria ◽  
Probit Regression ◽  
Long Term Effects ◽  
Cross Sectional ◽  
Food Security Status ◽  
Smart Agriculture

AbstractDespite the conceptual promise and attractiveness of Climate Smart Agriculture (CSA) in ensuring farmers’ resilience and food security, empirical evidence of its success are observed to be scanty and mixed in terms of results, thus prompting further research. In this article, we analyzed the effect of adopting six Agricultural Practices with CSA Potentials (AP-CSAPs) on food security status using recent cross-sectional data on 238 maize farmers from Northern Nigeria. Data were analyzed using descriptive statistics and Probit regression. The results showed that 92.4% of the maize farmers were male, with a mean age and household size of 44 years and nine persons, respectively. We find that 37.0% of the farm households were food insecure, and adoption of the AP-CSAPs was generally low. However, while refuse retention and agroforestry influenced food security, the remaining four practices considered did not. In addition, we find that land fragmentation, off-farm income and age influence the likelihood of being food secure. We recommend further research on the medium- to long-term effects of AP-CSAPs and suggest that policies aimed at consolidating landholdings to promote monocropping among rural farmers be discouraged.

scholarly journals Off-farm income diversification among rural farm households in Nigeria

2019 ◽  
Vol 52 (3-4) ◽  
pp. 149-156
Author(s):  
Ifeoluwa Damilola Adeoye ◽  
Wayo Seini ◽  
Daniel Bruce Sarpong ◽  
Ditchfield Amegashie
Keyword(s):  
Rural Areas ◽  
Formal Education ◽  
Household Survey ◽  
Farm Households ◽  
Farm Size ◽  
Farm Income ◽  
Tobit Regression ◽  
Income Diversification ◽  
Rural Space ◽  
Major Factors

AbstractThis paper aims to analyze the extent of off-farm income diversification of farm households in rural areas of Nigeria by age, gender, educational qualification, farm size, household size and across the different regions in the country. The determinants of such diversification were also identified. Data for this study were obtained from 836 rural farm households using the Nigeria General Household Survey, 2013. The Herfindahl Index was employed to analyze the share of income from different income generating activities, extent of off-farm income diversification. Tobit Regression Model was used to identify the determinants of such diversification.An estimate of 0.28 was observed for the Nigerian rural farm households with a higher extent of diversification in the Northern regions. Males, older farmers, and farmers without formal education had a higher extent of diversification. The results show that having higher landholdings, post-primary education, access to electricity and location are major factors. Identifying the extent of diversification into the different off-farm sectors is relevant to inform policy and provide opportunities for promoting the different off-farm sectors with an ultimate goal of improving rural farm households’ livelihoods. This has its resultant effect on development of the entire rural space.

scholarly journals Impact of introducing low lift pump on improving income of farm households in some areas of Bhola district in Bangladesh

2012 ◽  
Vol 9 (2) ◽  
pp. 233-240
Author(s):  
MK Majumder ◽  
MS Rahman
Keyword(s):  
Household Head ◽  
Sampling Technique ◽  
Farm Households ◽  
Primary Data ◽  
Farm Income ◽  
Cropping Pattern ◽  
Cropping Patterns ◽  
On Farm ◽  
The Impact ◽  
Average Educational Level

This study focuses the impact of low lift pump (LLP) on farm income and cropping patterns followed by the selected farmers in Bhola district. A random sampling technique was used for the study. Primary data were collected from 60 LLP users from January to March, 2010 through two set of pre-tested questionnaires. Descriptive statistics and profit function were used in the study. Most of the farmers are well experience in farming. The average age of the household head is 47 for owner, 45 for tenant, 44 for owner cum tenant and 41 for LLP owners. The average educational level is 6 for owner, 4 for cash tenant, 5 for owner cum tenant and 5 for LLP Owners. Household size is the largest for cash tenant which is 5.36. Mug – Fallow - B.Aman was the main cropping patterns before using LLP and it was 39.22%. On the other hand, Boro – Fallow -T.Aman was the main cropping pattern after introducing LLP and it was 53.22% in the study area. The income increased in all categories of farmers due to the introduction of LLP. Cash tenant earned more and owner cultivators earned less among the farmer’s categories.   DOI: http://dx.doi.org/10.3329/jbau.v9i2.11035   J. Bangladesh Agril. Univ. 9(2): 233–240, 2011

Socio-economic Characteristics of Peasantry of Sub-mountainous Punjab

2021 ◽  
Keyword(s):  
Sampling Technique ◽  
Farm Households ◽  
Farm Size ◽  
Farm Income ◽  
Mountainous Region ◽  
Consumption Expenditure ◽  
Total Consumption ◽  
Agricultural Households ◽  
Food Expenditure ◽  
Average Size

The paper presents the socio-economic profile of agricultural households in the sub-mountainous region of Punjab. There are six districts in the sub-mountainous region from which the Gurdaspur district was selected randomly. Four villages and 80 farm households were selected using multistage random sampling technique two blocks. The data on various socio-economic parameters were collected for 2019-20. Most of the farmers (71percent) were in the age group of 40-60 years in the district. The literacy rate was reasonably good as only five percent of heads of the farm households were illiterate in the region. Most agricultural households lived as nuclear families (79.00percent) with an average family size of 4.81 members. The average size of the operational holdings was around 8.0 acres. The main crops grown in the region were wheat (38.23percent), paddy permal (21.95percent), paddy basmati(16.46percent), and sugarcane (13.79percent). The average income of the agricultural household in the Gurdaspur district was around six lakhs per annum. The main source of income of the agricultural households was crop cultivation (61.65percent), followed by income from off-farm sources (22.82percent) and livestock income (15.53percent). Across different farm-size categories, off-farm income was the major source of income among marginal farmers. For the rest of the farm-size categories, income from crops was the main source of household income. Average consumption expenditure was worked out to be 3.55 lakh per annum. In total consumption expenditure, the share of food expenditure was 23.62 percent, non-food expenditure was 63.41, and social ceremonies was 21.12 percent. The share of food expenditure in total expenditure decreased with an increase across different farm-size categories, while the share of non-food expenditure increased with an increase in farm size. Total consumption expenditure was around three times higher for large farm-size households than marginal households.

Sign in / Sign up

Export Citation Format

Share Document