Resource-use efficiency in okra production among smallholder farmers in Ika south and north east local government areas of Delta state, Nigeria

2017 ◽  
Vol 14 (1) ◽  
pp. 108
Author(s):  
P. A. Ekunwe ◽  
G. O. Alufohai ◽  
C. F. Adolue
Keyword(s):  
Local Government ◽  
Resource Use ◽  
Smallholder Farmers ◽  
Resource Use Efficiency ◽  
North East ◽  
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 as a Climate Smart Approach: Case of Smallholder Maize Farmers in Nyando, Kenya

Environments ◽  
2018 ◽  
Vol 5 (8) ◽  
pp. 93 ◽  
Author(s):  
Mohamud Salat ◽  
Brent Swallow
Keyword(s):  
Soil Carbon ◽  
Technical Efficiency ◽  
Resource Use ◽  
Soil Conservation ◽  
Smallholder Farmers ◽  
Conservation Practices ◽  
Resource Use Efficiency ◽  
Maize Production ◽  
Use Efficiency ◽  
The Impact

To simultaneously enhance agricultural productivity and lower negative impacts on the environment, food systems need to be much more efficient in using resources such as land, water, and fertilizer. This study examines resource use efficiency of maize production among smallholder farmers in Nyando, Kenya. The main objective is to assess the degree of technical efficiency of smallholder farmers and identify the impact of so-called “climate smart practices” on technical efficiency. The method of Stochastic Frontier Analysis is used to simultaneously estimate a stochastic production frontier and a technical inefficiency effect model. Data for 324 subplots farmed by 170 households were available for this analysis. The study reveals that maize production in Nyando is associated with mean technical efficiency of 45% and that soil conservation practices such as residue management, legume intercropping, and improved varieties significantly increase farmers’ technical efficiency. Soil carbon is found to be a critical factor of production. These results imply that there is potential to more than double production using the same resources and that soil conservation practices can be very “climate smart,” at once increasing soil carbon, production, climate resilience, and technical efficiency.

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