Analysis Of The Effects Of Farm Size, Labour And Capital Resources On Sweet Potato Output In The Central And Northern Senatorial Districts Of Cross River State

2009 ◽  
Vol 5 (1) ◽  
Author(s):  
MO Onaiah ◽  
VE Enya ◽  
OA Agba ◽  
SO Odey
Keyword(s):  
Sweet Potato ◽  
Farm Size ◽  
Cross River ◽  
Cross River State

scholarly journals Profit Efficiency and Poverty Status of Farmers in Selected Rice Growing Communities in Cross River State, Nigeria

2019 ◽  
pp. 1-12
Author(s):  
Idiong C. Idiong ◽  
Michael A. Iko
Keyword(s):  
Educational Level ◽  
The State ◽  
Farm Size ◽  
Rice Farming ◽  
Profit Efficiency ◽  
Cross River ◽  
Cross River State ◽  
Rice Farmers ◽  
Poverty Status ◽  
Farming Households

Aim: This study analyzed the profit efficiency and poverty status of rice farmers in selected rice growing communities in Cross River State, Nigeria. Methodology: The multistage random sampling was used to select rice farming households in the study area. Primary data were collected by means of questionnaire. The mean per capita household expenditure (MPCHHE) and the P-alpha measures of poverty were used for the measurement of poverty while the Stochastic Profit Frontier (SPF) was used to obtain the efficiency estimates and determinants among the rice farming households. The logit regression model was also used to show the effect of some factors on poverty status of the rice farmers. Results and Discussion: The results showed that, out of the 64.32% of the farmers who were generally poor, 40.85% and 23.47% of them were assessed to extremely and moderately poor respectively. The incidence, depth and severity of poverty were 65.32%, 27.84% and 16.38% respectively. The study further showed that profit efficiency ranged between 0.34 and 1.0 with mean efficiency of 0.73, suggesting that there are opportunities for rice farmers in the State to increase their farm income with a view of reducing their poverty levels. The result indicate that educational level, farm size and efficiency negatively influenced poverty while sex, age, educational level, farm size, household size and farming experience were the main determinants of profit efficiency. Inadequate credit access, capital and supply of farm inputs; high cost of labour, poor marketing outlets, and near absence of modern processing facilities were the rice production constraints. Conclusion and Recommendations: The study has shown that rice farmers in the State were majorly poor and relatively efficient with opportunities for improvement. To improve the profit efficiency of rice farmers and reduce their household poverty status would require addressing some vital policy indicators that influenced them. Such policies should encourage experienced rice farmers to remain in production, the raising of the level of education of the poor through adult education, and provision of single digit interest loans and input subsidies to enable the farmers increase their farm sizes.

scholarly journals DETERMINANTS OF AGRICULTURAL LOAN ACCESS FROM FORMAL SOURCES IN CROSS RIVER STATE CENTRAL AGRICULTURAL ZONE, NIGERIA

2018 ◽  
Vol 6 (5) ◽  
pp. 1-8
Author(s):  
Ettah O. I. ◽  
Ebu B. O.
Keyword(s):  
Regression Model ◽  
Rural Areas ◽  
Educational Level ◽  
Agricultural Development ◽  
Occupational Status ◽  
Sampling Technique ◽  
Farm Size ◽  
Farm Income ◽  
Cross River ◽  
Cross River State

Formal agricultural loan is an important tool in agricultural development and key to agricultural modernization.  This is because this source of loans enables farmers to have access to production inputs as well as adopt modern farm technologies. For agricultural development to be achieved and sustained, agricultural loan is required especially in the rural areas where majority of the populace are engaged in agriculture. The study set out to analyse the determinants of agricultural loan access from formal sources in Cross River State central agricultural zone, Nigeria and proffer policy recommendations based on the findings. A three-stage random sampling technique was employed to get a total of 100 respondents with the use of a detailed structured questionnaire. Descriptive statistics and multiple regression model were used to analyse the data. Result of the analysis showed that socio-economic characteristics of farmers such as: age, gender, occupational status, household size, educational level, farming experience, farm size, farm income, off- farm income, and labour use by respondents determined farmers access or otherwise to loan from formal sources and result of the logit regression model showed that age, education, farm size, collateral, farm income and cooperative membership all affected access of loan from formal sources positively, while farm experience do not determine access of loan from formal sources. The following recommendations were made: farmers in the area should be encouraged by government to enhance their educational level, more farmland should also be made available to increase their farm size and cooperative society’s membership should be encouraged by government.

scholarly journals Availability and estimation of crop by-product yields for small ruminant production in Cross River State, Nigeria

2020 ◽  
Vol 40 (1) ◽  
pp. 117-122
Author(s):  
G. A. Kalio ◽  
L. N. Agunwobi ◽  
A. A. Ayuk ◽  
C. A. Eneji
Keyword(s):  
Local Government ◽  
Sweet Potato ◽  
Small Ruminant ◽  
Small Ruminants ◽  
Food Crops ◽  
Cross River ◽  
Cross River State ◽  
Potato Peels ◽  
Cassava Peels ◽  
By Products

A study was carried out in some Local Government Areas of Cross River State of Nigeria to identify and ascertain the availability, level of production and the yields of crop by-products derived from commonly cultivated crops that can serve as feed for small ruminants. The results show that the various staple crops commonly grown in Cross River State produce the following crop by-products in a decreasing order of yields- cassava peels> yam peels> corn cobs> maize sheaths> plantain peels> maize offal> rice offal> cassava sievets> banana peels> fried garri sievets> groundnut haulms> sweet potato peels. The annual yield of crop by-products per Local Government Area is estimated as follows: cassava peels 89,226.40, yam peels 32,318.80, maize sheaths and offal 358,050.00, rice 0ffal 37,140.00, cowpea haulms 34,064.00, groundnut haulms 41,872.00, banana peels and rejects 18,420.00, plantain peels 7,598.40, cocoyam peels 11,944.00, sweet potato peels and rejects 8,024.00 tonnes per selected LGA.The total amount of crop by-products (638,657.60 tonnes) generated each year from the staple food crops will go a long way in solving the problem of feed scarcity for ruminants during dry season.

Teachers Characteristics, Related factors and Environmental Education Curriculum Implementation in Secondary Schools in Cross River State, Nigeria

GIS Business ◽  
2020 ◽  
Vol 15 (2) ◽  
pp. 136-158
Author(s):  
Eneji Chris-Valentine Ogar ◽  
Petters Janet Sunday ◽  
Onnoghen Usang Nkanu ◽  
Asuquo Edung Etim
Keyword(s):  
Regression Analysis ◽  
Environmental Education ◽  
Secondary Schools ◽  
Classroom Management ◽  
Curriculum Implementation ◽  
Education Curriculum ◽  
Related Factors ◽  
Significance Level ◽  
Cross River ◽  
Cross River State

This study assessed the influence of teacher’s characteristics and other related factors in the implementation of Environmental Education curriculum in secondary schools in Cross River State, Nigeria. Two research designs were used, survey inferential and Expost facto research design. The study is located in the department of Environmental Education, University of Calabar, Nigeria. Two research questions converted into two hypotheses were formulated for the study.  A sample of three hundred (300) respondents were selected using the multistage random sampling technique comprising of twenty five (25) lecturers and two hundred and seventy five (275) postgraduate and final year undergraduate students in the department of Environmental Education, University of Calabar. Data was collected using a structured questionnaire, the instrument administration was done by the researchers and same were collected 100%. Pearson Product Moment Correlation Analysis and regression analysis were used to test the hypotheses at 0.05 significance level and 298 and 290 degrees of freedom respectively. The result shows that teacher’s characteristics do significantly influence Environmental Education curriculum implementation in secondary schools. The regression analysis also shows that 6 factors listed impedes the implementation of Environmental Education curriculum, while four were not significant factors influencing Environmental Education curriculum in secondary schools. It was however recommended that teachers with competence in pedagogic knowledge of Environmental Education with classroom management skill should be employed to drive the process, while arrangement should be put in place to make Environmental Education a subject for students to offer and write in final senior secondary school examination among other.

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