scholarly journals Analysis of farm size and resource use efficiency in selected arable crop production in Uruan Local Government Area of Akwa Ibom State, Nigeria

Agro-Science ◽  
2018 ◽  
Vol 16 (2) ◽  
pp. 1
Author(s):  
E.O. Effiong ◽  
C.I. Idiong ◽  
D Emem
Keyword(s):  
Local Government ◽  
Resource Use ◽  
Crop Production ◽  
Local Government Area ◽  
Farm Size ◽  
Resource Use Efficiency ◽  
Arable Crop ◽  
Use Efficiency

Evaluation of resource-use efficiency among rice farmers in Katcha Local Government Area of Niger State, Nigeria

2020 ◽  
Vol 18 (1) ◽  
pp. 9-19
Author(s):  
Y. Muhammed ◽  
M.A. Ojo ◽  
A. Abdullahi ◽  
O.J. Ajayi ◽  
S. Jibrin ◽  
...  
Keyword(s):  
Local Government ◽  
Multiple Regression ◽  
Resource Use ◽  
Rice Production ◽  
Local Government Area ◽  
Farm Size ◽  
Efficiency Ratio ◽  
Resource Use Efficiency ◽  
Rice Farmers ◽  
Use Efficiency

This study evaluated resources–use efficiency among rice farmers in Katcha Local Government Area (LGA) of Niger State, Nigeria. The specific objectives are to; describe socio-economic characteristics of the rice farmers, determine the production inputs influencing rice output, resource–use efficiency in rice production and identify constraints associated with rice production. Two-stage sampling procedure was used for selection of 88 rice farmers on which questionnaire was administered. Data collected was analyzed using descriptive statistics, multiple regression model and resource – use efficiency ratio. Results of the analysis revealed that 76.2% of the respondents were males, while 93.2% were married. The mean age, farming experience and household size of the respondents was 46 years, 23 years and 11 people, respectively. The multiple regression analysis result showed that double-log with R2 value of 0.9571 was chosen as lead equation and farmland (4.83, p<0.01), labour (2.34, p<0.05), seeds (4.04, p<0.01) and fertilizer (3.46, p<0.01) had positive coefficients and statistically significant. The efficiency ratio of resources-use in rice production showed that farm size (15.71) was under-utilized, while labour (0.001), seeds (0.554) and fertilizer (0.056) were over-utilized. Major constraints of rice production identified were inadequate training on resources usage (94.3%), followed by problem of pest and diseases (84.1%) and problem of storage facilities (81.8%). These problems ranked 1st, 2nd and 3rd, respectively. In conclusion, the production inputs were not efficiently utilized by the rice farmers. It was therefore recommended that, extension agents should educate farmers about relevant farm management skills in order to optimally utilize resources in rice production. Keywords: Resource-use efficiency, Rice farmers, Inputs, Production

Resource Use Efficiency of Upland Rice Farmers in Ivo Local Government Area of Ebonyi State

2018 ◽  
Vol 7 (2) ◽  
pp. 1-10
Author(s):  
Ume Smiles Ifeanyichukwu ◽  
Ezeano Caleb Ike ◽  
Edeh Ogochukwu Nnenna ◽  
Udefi Ifeanyi Onochie
Keyword(s):  
Local Government ◽  
Resource Use ◽  
Upland Rice ◽  
Local Government Area ◽  
Resource Use Efficiency ◽  
Rice Farmers ◽  
Use Efficiency

scholarly journals Resource-Use Efficiency of Honey Production in Kachia Local Government Area, Kaduna-State, Nigeria

2015 ◽  
Vol 4 (1) ◽  
pp. 117 ◽  
Author(s):  
Ahmad S. Olohungbebe ◽  
Alabi Olugbenga O. ◽  
Daniel P. O.
Keyword(s):  
Regression Analysis ◽  
Local Government ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Resource Use ◽  
Local Government Area ◽  
Primary Data ◽  
Resource Use Efficiency ◽  
Honey Production ◽  
Use Efficiency

This study examined resource-use efficiency of honey production in Kachia Local Government Area, Kaduna, Nigeria. The primary data used for the investigation were obtained using structured questionnaires administered to 50 producers. The data were analysed using descriptive statistics, farm budget techniques, multiple regression analysis and resource-use efficiency. Multiple regression analysis used to examine factors influencing output of honey in the study area revealed that the coefficient of multiple determinations (R2) of 0.59 which implies that 59% of the dependent variable in the model was explained by the independent variables included in the model. Number of bee hives was significant at (p< 0.01).Estimated resource use efficiency revealed that number of bee hives and family labours were underutilized. This study concluded that the bee farmers in the study area should be given adequate training on rudiments of beekeeping.

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.

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