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 Assessment of the Risk Management Strategies among Arable Crop Farmers in Owerri West Local Government Area of Imo State, Nigeria

2019 ◽  
pp. 1-10
Author(s):  
O. B. Ibeagwa ◽  
N. C. Ehirim ◽  
G. N. Ben-Chendo ◽  
I. I. Ukoha ◽  
E. C. Osuji ◽  
...  
Keyword(s):  
Risk Management ◽  
Local Government ◽  
Crop Production ◽  
Management Strategies ◽  
Household Size ◽  
Local Government Area ◽  
Farm Size ◽  
Imo State ◽  
Arable Crop ◽  
Risk Management Strategies

The increased incidences of farming risks have been a challenge among smallholder farmers in Nigeria. This study set out to assess risk management strategies among arable crop farmers in Owerri West Local Government Area of Imo State, Nigeria. The proportion of risk in arable crop production and the factors that influence risk in arable crop production in the study area were specifically estimated. Primary data used for the study were collected with the aid of well-structured questionnaire from eighty-four farmers in the study area. Data were analyzed using descriptive and inferential statistics. The result revealed that majority of the arable crop farmers (52.4%) were females. The average age and household size were 54 years and 5 persons respectively. Educational level, age, farming experience, farm size, household size and farm income were the factors influencing the estimated output of the farmers due to the prevalence of risk in arable crop production. The study recommended the continuous education of arable crop farmers in the area so as to increase their capacity to deal with risk on their farms.

The management of risk in a dryland environment

2011 ◽  
pp. 13-21
Author(s):  
D.I. Gray ◽  
J.I. Reid ◽  
D.J. Horne
Keyword(s):  
Risk Management ◽  
Service Providers ◽  
Management Strategies ◽  
Subterranean Clover ◽  
Farming Systems ◽  
Market Risk ◽  
Farm Size ◽  
Forage Crops ◽  
Risk Management Strategies ◽  
Upside Risk

A group of 24 Hawke's Bay hill country farmers are working with service providers to improve the resilience of their farming systems. An important step in the process was to undertake an inventory of their risk management strategies. Farmers were interviewed about their farming systems and risk management strategies and the data was analysed using descriptive statistics. There was considerable variation in the strategies adopted by the farmers to cope with a dryland environment. Importantly, these strategies had to cope with three types of drought and also upside risk (better than expected conditions), and so flexibility was critical. Infra-structure was important in managing a dryland environment. Farmers chose between increased scale (increasing farm size) and geographic dispersion (owning a second property in another location) through to intensification (investing in subdivision, drainage, capital fertiliser, new pasture species). The study identified that there may be scope for further investment in infra-structural elements such as drainage, deeper rooting alternative pasture species and water harvesting, along with improved management of subterranean clover to improve flexibility. Many of the farmers used forage crops and idling capacity (reduced stocking rate) to improve flexibility; others argued that maintaining pasture quality and managing upside risk was a better strategy in a dryland environment. Supplementary feed was an important strategy for some farmers, but its use was limited by contour and machinery constraints. A surprisingly large proportion of farmers run breeding cows, a policy that is much less flexible than trading stock. However, several farmers had improved their flexibility by running a high proportion of trading cattle and buffer mobs of ewe hoggets and trade lambs. To manage market risk, the majority of farmers are selling a large proportion of their lambs prime. Similarly, cattle are either sold prime or store onto the grass market when prices are at a premium. However, market risk associated with the purchase of supplements and grazing was poorly managed.

scholarly journals Risk Management Strategies to Reduce Net Income Variability for Farmers

1985 ◽  
Vol 17 (1) ◽  
pp. 117-130 ◽  
Author(s):  
Hamid Falatoonzadeh ◽  
J. Richard Conner ◽  
Rulon D. Pope
Keyword(s):  
Risk Management ◽  
Crop Production ◽  
Management Strategies ◽  
Farm Income ◽  
Net Income ◽  
Combination Strategy ◽  
Management Tools ◽  
Risk Management Strategies ◽  
Price Risks ◽  
The Many

AbstractThe most useful and practical strategy available for reducing variability of net farm income is ascertained. Of the many risk management tools presently available, five of the most commonly used are simultaneously incorporated in an empirically tested model. Quadratic programming provides the basis for decisionmaking in risk management wherein expected utility is assumed to be a function of the mean and variance of net income. Results demonstrate that farmers can reduce production and price risks when a combination strategy including a diversified crop production plan and participation in the futures market and the Federal Crop Insurance Program (FCIP) is implemented.

scholarly journals Produce certification and income risk management strategies of cocoa farming households in South-West Nigeria

2015 ◽  
Vol 9 (3) ◽  
pp. 75-79
Author(s):  
A. B. Oreyemi ◽  
R. A. Sanusi ◽  
L. O. Okojie ◽  
A. O. Olaiya ◽  
D. Akerele
Keyword(s):  
Risk Management ◽  
Management Strategies ◽  
Farm Income ◽  
Income Risk ◽  
Chi Square ◽  
South West ◽  
Risk Management Strategies ◽  
Cocoa Production ◽  
Chi Square Analysis ◽  
Farming Households

Agricultural produce certification is synonymous to farm assurance of which cocoa certification is an example; dealing with issues of Good Agricultural, Environmental and Social Practices (GAP, GEP and GSP) in cocoa production. Essentially, GAP, GEP and GSP packages had in-built mechanism that can aid farmers mitigate factors that could lead to farm income risks in cocoa production. Consequently, this study examined the influence of cocoa certification on income risks of cocoa farming households in South-west Nigeria. A multistage sampling technique was used to select 180 cocoa farming households from whose heads data were obtained with interview schedule in Southwest Nigeria. Data were analyzed with Chi-square Statistic, Income Risk Management Diversification Index (IRD) and Mann-Whitney-U Test Statistic. Chi-square analysis shows that (52.3%) certified cocoa farming households employed more risk management strategies than (94.2%) uncertified cocoa farming households (p<0.01). The Mann-Whitney-U test revealed a significant difference (p>0.05) between the income risk management practices of certified and uncertified cocoa farming households. Therefore, produce certification has been helping cocoa farming households in mitigating farm income risk in cocoa production through the employment of diverse (risk) management strategies. Hence, stakeholders should intensify efforts in encouraging farming households to embrace (cocoa) produce certification.

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.

scholarly journals Analysis of Price Risk Management Strategies in Dairy Farming Using Whole-Farm Simulations

2013 ◽  
Vol 45 (2) ◽  
pp. 313-327 ◽  
Author(s):  
James Neyhard ◽  
Loren Tauer ◽  
Brent Gloy
Keyword(s):  
Risk Management ◽  
Management Strategies ◽  
Farm Income ◽  
Reference Scenario ◽  
Net Income ◽  
Dairy Farmers ◽  
Risk Management Strategies ◽  
Marketing Procedure ◽  
Cash Basis ◽  
Price Risk Management

Combinations of futures and options contracts on milk and feed were simulated to determine their influence on a representative dairy farm's ability to meet cash flow requirements and reduce the variance of net income. Compared with the reference scenario of selling milk and procuring inputs on a monthly cash basis, the risk management activities did not result in a significant change in either the level or variance of net farm income. The results suggest that on average the current marketing procedure of monthly cash milk pricing and monthly feed purchases (and pricing) produces a strong built-in natural hedge for dairy farmers.

scholarly journals Perception and risk management strategies for ranchers and their determinants: a case study from Turkey

2021 ◽  
Vol 51 (6) ◽  
Author(s):  
Seyit Hayran ◽  
Murak Külekçi ◽  
Aykut Gül
Keyword(s):  
Risk Management ◽  
Management Strategies ◽  
Farm Income ◽  
Least Squares Regression ◽  
Data Set ◽  
Income Uncertainty ◽  
Perceptions Of Risk ◽  
Risk Management Strategies ◽  
Risk Sources ◽  
The Government

ABSTRACT: In this study, beef cattle farmers’ perceptions of risk and risk management strategies, and their determinants were analyzed using factor analysis and partial least squares regression analysis. The data set used in this study came from a survey conducted in Erzurum Province. The results demonstrated that variability in fodder price, insufficient farm income, uncertainty in government policies were perceived as the most important risks. Clean cattle shelter, off-farm income, monitoring and preventing livestock diseases were perceived as the most important risk management strategies. Results, also, demonstrated that some characteristics of farmers affected farmers’ perceptions. In this study, it was identified that the most important risk sources were economics-based. So, it was recommended that the government policy should be focused on preventing the fluctuations in input/output prices.

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 Determinants of farmers’ access to microcredit from cooperative societies in Ondo state, Nigeria

2022 ◽  
Vol 11 (2) ◽  
pp. 103-107
Author(s):  
A Kolapo ◽  
AS Ogunleye ◽  
AD Kehinde ◽  
AA Adebanke
Keyword(s):  
Sampling Technique ◽  
Descriptive Statistics ◽  
Farm Size ◽  
Primary Data ◽  
Logit Regression ◽  
Cooperative Society ◽  
Consumer Cooperative ◽  
Ondo State ◽  
Multistage Sampling ◽  
Logit Regression Model

The study examined the determinants of farmers’ access to microcredit from cooperative societies in Ondo state. A multistage sampling technique was used to obtain data from 100 respondents. Primary data was collected for the purpose of the study. We used descriptive statistics and logit regression model to analyses the data collected. Result showed that the farmers were mostly male farmers (64%) while majority of the farmers had a mean age of 44.10 ± 14.70. It was also revealed that consumer cooperative society, producer cooperative society, marketing cooperative society, cooperative farming society and credit and thrift cooperative society were the major forms of cooperative used by the farmers. The result also shows that age, marital status, farm size, farming experience, credit from another source and number of years in the cooperative significantly influenced farmers’ access to microcredit from cooperative society. Int. J. Agril. Res. Innov. Tech. 11(2): 103-107, Dec 2021

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.

Sign in / Sign up

Export Citation Format

Share Document