scholarly journals Factors Influencing Economic Viability of Small and Marginal Farms in Rayalaseema Region of Andhra Pradesh, India

2021 ◽  
pp. 48-57
Author(s):  
M. Ramakrishna ◽  
I. Bhavani Devi ◽  
S. Rajeswari ◽  
P. V. Satyagopal ◽  
G. Mohan Naidu
Keyword(s):  
Andhra Pradesh ◽  
Sampling Technique ◽  
Farm Size ◽  
Farm Income ◽  
Net Income ◽  
Economic Surplus ◽  
Factors Influencing ◽  
Live Stock ◽  
Multistage Sampling ◽  
Selection Of

This study was conducted to estimate the factors influencing the viability of small and marginal farms in Rayalaseema region of Andhra Pradesh. Multistage sampling technique was employed for selection of samples at different levels (districts, mandals and villages) in the present study. A sample of 120 farmers was selected from two districts, six mandals and six villages. The farmers were categorized according to their land holding size into marginal (<1 ha) and small (1-2 ha) category. On the basis of economic surplus left, the sample farmers were grouped as viable and nonviable farmers. The farmers having positive economic surplus are viable farmers and the farmers with negative economic surplus are non-viable farmers. Out of 120 sample farmer’s only 37 farmers were viable and 83 remained non-viable. It is found that net income from live stock and dairy and net income from crops were the major significant discriminating factors that discriminate viable and non-viable farmers. Other significant factors were off farm income, farm size and family expenditure.

scholarly journals AN ANALYSIS OF YIELDS OF KOLA-NUT PRODUCTION, PROCESSING AND MARKETING IN SAGAMU LGA, OGUN STATE, NIGERIA

2017 ◽  
Vol 11 (1) ◽  
pp. 90-105
Author(s):  
E. O. A. OLUWALANA ◽  
L. O. OKOJIE ◽  
F. O ASHAOLU ◽  
V. O. OLANIRAN
Keyword(s):  
Descriptive Analysis ◽  
Sampling Technique ◽  
Farm Size ◽  
Farm Income ◽  
Net Income ◽  
Gross Margin ◽  
Ogun State ◽  
Unit Increase ◽  
Nut Production ◽  
Selection Of

This study on Kola nut production in Ogun State was aimed at describing the socio-economic characteristics of the farmers, net farm income, marketing channels and factors influencing output of kola nut for its impact on food security. Multistage sampling technique was used in the study; the first stage involves the purposive selection of Sagamu Local Government as largest Kola nut farming with 4 communities; namely; Agbowa; Sagamu; Igodo, and Odelemo. The second stage involves simple random selection of 100 kola nut farmers, 25 per community. A structured questionnaire was administered subject to descriptive analysis, multiple regressions, and budgetary analysis. The results revealed that male 82% and female 18% were involved in kola nut production, processing and marketing. Average household size of 6 members with a minimum of 25 years farming experiences. The study revealed that 51% of the farmers sold directly to wholesalers, 37% sold to processors, and 12% sold to retailers. Also, 83%, of the producers and marketers were married 16% were widowed and only 1% divorced. Average age was 58years and average farm size of 2.71 hectares. Average farm net income was ₦208,680.40 per annum with the total revenue of ₦291,149 and a gross margin of ₦237,789.50 per annum. The average total cost incurred was calculated as ₦82,468.40 being cost of labour, transportation and items such as cutlass, hoes and files. Regression analysis used to determine the factors affecting the output of kola nut showed that farm size, age of kola nut plantation and the age of farmers were significant at 10%, 5% and 1% respectively using double log equation and the model was significant at 1%. The age of farmers (x1) was negatively significant which implies that as farmers reach old age, this may serve as hindrance due to physical inability to undertake vigorous farm activities hence reduction in output occurs by 13.3%. Farming experience (x2) was negatively correlated with output of kolanut indicating that a unit increase in experience of kolanut farmers will decrease output by 12.3%. Farm size was found to positively significant which implies that a unit increase in farm size will increase output by 83.1%.The result revealed that kola nut business is a profitable venture and male dominated. The women could be encouraged to invest in the business to increase their income and livelihood. 

scholarly journals Risks and determinants of risk management strategies among rural cassava-based farmers in Imo State

2020 ◽  
Vol 17 (2) ◽  
pp. 100-115
Author(s):  
C.E. Ahaneku ◽  
S.U.O. Onyeagocha ◽  
C.C. Eze ◽  
N.M. Chidiebere-Mark ◽  
G.O. Ellah ◽  
...  
Keyword(s):  
Risk Management ◽  
Management Strategies ◽  
Sampling Technique ◽  
Farm Size ◽  
Farm Income ◽  
Imo State ◽  
Resistant Species ◽  
Risk Management Strategies ◽  
Multistage Sampling ◽  
Logit Regression Model

Cassava-based farmers are faced with a lot of risks and uncertainties and this results to low agricultural output and hinders the rural farmers from  pursuing their farming activities as an enterprise. The study assessed the risks and determinants of risk management strategies among rural cassava-based farmers in Imo State. A multistage sampling technique was used in the selection of respondents. Data were collected with the use of structured questionnaire administered to 180 respondents. Multinomial logit regression model was used to determine the factors influencing the choice of risk management strategies among rural cassava-based farmers in the study area. Results of the study showed that the farmers were of middle-age, fairly educated and have average farm size of one hectare. Majority of the farmers identified loss of crop due to disease (76.11%) and loss due to erosion (73.89%) as sources of risk farmers were exposed to. Also greater number of the respondents adopted practicing of mixed  cropping and planting of disease resistant species as risk management strategies. The result of the study also confirmed that age, gender, educational level and farm income were the major determinants of the farmers’ choice of risk management strategies. It was recommended that  government should make extension services functional and provide policies that will help boost the socio-economic welfare of farmers as this will significantly propel an increase in the choice effective risk management strategies in the area. Keywords: Risk management, risk management strategies, cassava based farmers.

scholarly journals Determinants of Agroforestry Practitioners Income in Semi-Arid Region of Nigeria

2020 ◽  
pp. 67-72
Author(s):  
B. D. Zira ◽  
M. A. Gupa
Keyword(s):  
Regression Analysis ◽  
Skill Acquisition ◽  
Arid Region ◽  
Linear Regression Analysis ◽  
Sampling Technique ◽  
Farm Size ◽  
Farm Income ◽  
Semi Arid Region ◽  
Multistage Sampling ◽  
Semi Arid

This study examined the determinants of farm income among Agroforestry Practitioners in Semi-arid region of Nigeria. Using a multistage sampling technique, 300 Practitioners were randomly selected from six purposive selected semi-arid region of Nigeria. The data were analyzed using descriptive statistics and multiple regression analysis. The study revealed an income of between N301,000 and N400,000 among the Agroforestry Practitioners in the study area. Result on the linear regression analysis revealed that the coefficients of Agroforestry farm output (p<0. 01), farm size (p<0. 01, household size (p<0. 05,) and education (p<0. 05,) were found to positively and statistically influence Agroforestry farm income in the study area. It is recommended that multifaceted interventions through infrastructural development that supports access to education and land, skill acquisition and empowerment program should be implemented in the study area.

Adoption of African indigenous vegetables into agro-pastoral livelihoods for income and food security

2016 ◽  
Vol 6 (2) ◽  
pp. 110-126 ◽  
Author(s):  
Patience Mlongo Mshenga ◽  
Mwanarusi Saidi ◽  
Agnes O. Nkurumwa ◽  
Juma Riziki Magogo ◽  
Shem Ipomai Oradu
Keyword(s):  
Food Security ◽  
Diffusion Theory ◽  
Sampling Technique ◽  
Farming Systems ◽  
Farm Size ◽  
Farm Income ◽  
Content Type ◽  
Factors Influencing ◽  
African Indigenous Vegetables ◽  
Indigenous Vegetables

Purpose The purpose of this paper is to determine the factors influencing adoption of African indigenous vegetables (AIVs) into the agro-pastoral farming systems aiming at improving livelihoods. Design/methodology/approach The paper is based upon the diffusion theory which is linked to the random utility theory. A survey of 205 agro-pastoral households obtained through multistage sampling technique was used. Factors influencing adoption of AIVs were estimated using a logit model. Findings Findings indicate that the acreage under AIVs was still very low compared to other crop enterprises with the most common types of AIVs grown being Solanum nigrum, Amaranthus spp., Cucurbita maxima, Vigna unguiculata, Basella alba and Cleome gynandra. Factors influencing adoption were found to be gender, age, farm size, education level, off-farm income and number of visits to extension officer. Research limitations/implications Limitations include reliance on respondents’ willingness to provide correct information. Originality/value This paper adds value in its contribution to literature on diversifying agro-pastoral livelihoods through production of AIVs for income and food security.

scholarly journals SENSITIVITY ANALYSIS AND FUTURE FARM SIZE PROJECTION OF BIO-FORTIFIED CASSAVA PRODUCTION IN OYO STATE, NIGERIA

2020 ◽  
Vol 5 (2) ◽  
pp. 61-66
Author(s):  
Kolapo Adetomiwa ◽  
Ojo Christianah Funmilayo ◽  
Lawal Adebayo Morenikeji ◽  
Abayomi Tajudeen Sarumi ◽  
Muhammed Opeyemi Abdulmumin
Keyword(s):  
Return On Investment ◽  
Sampling Technique ◽  
Farm Size ◽  
Primary Data ◽  
Farm Income ◽  
Questionnaire Data ◽  
Cassava Production ◽  
Multistage Sampling ◽  
Structured Questionnaire ◽  
Cassava Varieties

The study examined the costs and returns to bio-fortified cassava production and forecast the future farm size of bio-fortified cassava production in Oyo State, Nigeria. A multistage sampling technique was used to select our respondents. Primary data were used for the study which were collected through a well-structured questionnaire. Data collected were analyzed using descriptive, Markov chain, and budgetary analysis. The result of the study showed that TMS 01/0593, TMS 01/0539 and TMS 01/0220 were the mostly grown varies of bio-fortified cassava varieties in Oyo State, Nigeria. The result of the budgetary analysis showed that the average net return (net farm income) from the production of bio-fortified cassava was ₦196710.95 with RORI of 224.95%. The result revealed that at 35% increase in cost of production, the rate of return on investment dropped to 140.70% in which the investment will not be viable. The bio-fortified cassava farmers have a great potential to boost production through increases in farm sizes of the bio-fortified cassava famers until the year 2026 when equilibrium would be attained at about 2.85ha. In order to adequately achieve these goals, more improved varieties of bio-fortified cassava should be provided. Consequently, infrastructures should be put in place to help boost farmers moral in their cause of production.

scholarly journals Factors Influencing Economic Viability of Small Farmer of Rice Production in Bangladesh

2018 ◽  
pp. 1-9
Author(s):  
Farzana Yeasmin ◽  
Ismat Ara Begum ◽  
Fardous Ara Happy ◽  
Dilshad Zahan Ethen
Keyword(s):  
Function Analysis ◽  
Rice Production ◽  
Farm Size ◽  
Farm Income ◽  
Small Farmers ◽  
Net Income ◽  
Fixed Investment ◽  
Economic Surplus ◽  
Small Farmer ◽  
Rice Farmers

The focus of this study was to conduct research on small rice farmers and to identify the factors and their influence in viability of rice production in Bangladesh. The study was conducted using a longitudinal survey made under the Village Dynamics in South Asia (VDSA) project of International Crops Research Institute for the Semi-Arid Tropics (ICRISAT). A total of 179,179,156 and 177 small rice farms were selected as a sample for the years of 2009, 2010, 2011 and 2012, respectively. Among 691 small farmers, 562 farmers were viable farmer and 129 farmers were non-viable farmers who were producing rice in the study area. The small farmers lived in the same socio-economic environment. The economic surplus of small farmer was 11018.5 tk. 12205 tk., 6006 tk. and 4461 tk. in different years. To achieve the objective discriminant function analysis was used. For this analysis eight discriminant factors were selected i.e. family size, farm size, education, value productivity from crops, net income from dairy, off-farm income, total fixed investment and domestic expenditure. It is found that off-farm income was the most significant discriminat factor among the eight factors related to the discriminating of viable and non- viable of small farmers of rice production Besides value from crops, total fixed investment and domestic expenditure were the other significant factors found during all the years.

An Economic Analysis of Tomato Production in South Gujarat

2020 ◽  
pp. 161-164
Keyword(s):  
Crop Insurance ◽  
Sampling Technique ◽  
Economic Viability ◽  
Production Economics ◽  
Net Income ◽  
Insurance Scheme ◽  
Tomato Production ◽  
Input Ratio ◽  
Selection Of ◽  
High Output

ABSTRACT The study was conducted in South Gujarat for examining the production economics of tomato in the study area. Multistage random sampling technique was employed for the selection of 120 tomato farmers from Kaparada, Mandvi and Vyara talukas of Valsad, Surat and Tapi district, respectively. The net income of 1.57 lakh/ha showed the economic viability of the crop in the study area with a high output-input ratio of 3.25. It was suggested that the timely supply of credit and crop insurance scheme could further encourage growers for tomato production.

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 Profitability Analysis and Factors Influencing Profit Level of Small-Scale Broiler Farmers in Nigeria

2020 ◽  
pp. 127-135
Author(s):  
Afodu Osagie John ◽  
Shobo Bolatito Adenike ◽  
Ayo-Bello Taofeek Ayodeji ◽  
Abasilim Chinwe Frances
Keyword(s):  
Sampling Technique ◽  
Educational Status ◽  
Study Data ◽  
Small Scale ◽  
Factors Affecting ◽  
Logit Regression ◽  
Profitability Analysis ◽  
Cost Of Drugs ◽  
Multistage Sampling ◽  
Selection Of

Broiler birds are widely praised for its palatability and nutritious values which are mainly for meat purpose, and also serves as source of income to many households in Nigeria. The broiler industry is faced with high cost of production thereby reducing the farmers profit. The study was conducted in three Geopolitical zones in Nigeria. A multistage sampling technique was adopted for this study for the selection of 540 broilers farmers out which 392 returned a well filled questionnaire where data were extracted for the study. Data for this study were analysed using descriptive (frequency and percent) budgetary analysis and inferential (Logit regression) statistics. Factors affecting the profit level of broiler farmers were age (γ1= -0.145, p= 10%), households size (γ3= -5.477, p=10%), educational status of the farmers (γ4= 0.228, p= 5%), number of birds (γ7= 0.575, p= 5%), cost of feed (γ8= -1.022, p= 1%), cost of water (γ9= -1.277, p= 1%), cost of drugs (γ10= -1.640, p= 5%) and cost of chick (γ11= -7.104, p= 1%). Young people should be encouraged to be involved in production of broiler, since agriculture has aging population and help in employment creation. Farmers should maintain a low number of households so as to increase their profit. The farmers should have some forms of education on the production of broilers so as to enhance their profit.

scholarly journals DETERMINANTS OF AGRICULTURAL LOAN DECISION MAKING PROCESS FOR RICE (ORYZA SATIVA) FARMERS IN ABUJA, NIGERIA. APPLICATIONS OF HECKMAN TWO-STAGE MODEL AND FACTOR ANALYSIS

2021 ◽  
Vol 59 (1) ◽  
Author(s):  
Olugbenga Omotayo Alabi ◽  
Ayoola Olugbenga Oladele ◽  
Mohammed Bello Usman
Keyword(s):  
Rice Production ◽  
Farm Size ◽  
Farm Income ◽  
Decision Making Process ◽  
Stage Model ◽  
Gross Margin ◽  
Two Stage ◽  
Rice Farmers ◽  
Factors Influencing ◽  
Socio Economic Factors

This study focuses on determinants of the agricultural loan decision-making process of rice (Oryza sativa) farmers in Abuja, Nigeria, using the Heckman two-stage model and factor analysis. This study was designed specifically to achieve the following objectives: determine the socio-economic profiles or characteristics of rice farmers, analyze the costs and returns of rice production, evaluate factors influencing rice farmers’ decision to obtain an agricultural loan, evaluate socio-economic factors influencing the amount of the agricultural loan, and determine the constraints or problems facing rice farmers. A multi-stage sampling design was employed. A total sample of one hundred (100) rice farmers was included, and primary data were utilized. Data were obtained through the use of a well-structured and well-designed questionnaire. Statistical and econometric tools used in analyzing data included descriptive statistics, gross margin analysis, financial analysis, the Heckman two-stage model, and principal component analysis. The results show that 63% of rice farmers were between the age of 31–50 years. The mean age was 41.90 years. About 65% of rice farmers were male, and 54% of them were married. Also, 93% of rice farmers had formal education and were literate. The household sizes were large, with an average of six persons per household. An average of 71,550 nairas was the loan amount granted to rice farmers by financial institutions. The average farm size amounted to 1.49 hectares. Factors influencing the decision of rice farmers to obtain agricultural loan included age (P < 0.01), marital status (P < 0.05), household size (P < 0.10), educational level (P < 0.05), farm size (P < 0.05), farm and non-farm income (P < 0.10), farm experience (P < 0.05), collateral property (P < 0.05), extension services (P < 0.10), and awareness of loan or credit facilities (P < 0.05). Rice production was profitable with a net farm income of 744,300 nairas. The gross margin ratio of 0.95 means that 95 kobos covered profits, taxes, expenses, interest, and depreciation for every naira invested in rice production activities. Socio-economic factors statistically and significantly influencing the amount of agricultural loan obtained by rice farmers included (P < 0.05) sex (P < 0.01), household size (P < 0.05) and educational level (P < 0.01). The constraints facing rice farmers in obtaining the agricultural loan and production activities included lack of collateral property, lack of fertilizer input, poor-quality feeder roads, lack of credit facilities, inadequate labor input, and complicated and costly administrative procedures to obtain a loan. It is recommended that agricultural loans be made available to rice farmers in sufficient amounts and at low-interest rates. Also, farm inputs, fertilizer inputs, improved seeds, and chemicals should be made available to rice farmers

Sign in / Sign up

Export Citation Format

Share Document