scholarly journals Determinants of Adoption of New Agricultural Technologies by Cooperative Farmers in Nigeria

2021 ◽  
pp. 66-75
Author(s):  
Onuoha, Onyekachi Chibueze ◽  
Umebali, Emmanuel
Keyword(s):  
Agricultural Development ◽  
Sampling Technique ◽  
Farm Size ◽  
Primary Data ◽  
Farm Income ◽  
Extension Agents ◽  
Agricultural Technologies ◽  
Institutional Factor ◽  
Factors Affecting ◽  
Frequency Of Contact

Globally, advanced technologies are invented or discovered for the improvement of farming activities. In Nigeria, such technologies are gradually being available from research institutes and imported technologies. The low outputs of farms suggest that these technologies seem not to be highly adopted in Nigeria and the factors that determine the adoption of these technologies are yet to be explored. The study examined the socio-economic and institutional determinants of the adoption of new agricultural technologies by cooperative farmers in Nigeria. A descriptive survey research design was adopted. Multistage random sampling technique was used to select three hundred and twenty farmers (160 individual farmers and 160 co-operative farmers), statistically derived using the Taro Yamane formula. The data used for this study were sourced from primary data. Descriptive and inferential statistics were deployed in the analysis of data. Findings revealed that sex, marital status, farm size and annual farm income socio-economic are the socioeconomic factors affecting the adoption of new agricultural technologies while the frequency of contact with extension agents is the key institutional factor affecting the adoption of agricultural technologies. Recommendations made include that extension services should be improved by the Agricultural Development Programme. There should be at least two extension agents to each community who should visit the farms regularly and expose the farmers to the latest agricultural technologies through Small Plots Adoption Trials (SPATS) and On-Farm Adaptive Research. The extension service workers in ADP should enjoin individual farmers to form effective groups (Co-operative Societies) for easy diffusion of the agricultural technological innovations.

scholarly journals Tribal womens involvement with pig farming in Bangladesh: an evidence of Moulvibazar district

2018 ◽  
Vol 16 (1) ◽  
pp. 115-127
Author(s):  
R Khanum ◽  
MSA Mahadi ◽  
MS Islam
Keyword(s):  
Low Income ◽  
Farm Size ◽  
Primary Data ◽  
Farm Income ◽  
Cost Ratio ◽  
Gross Margin ◽  
Factors Affecting ◽  
Model Average ◽  
Pig Farming ◽  
Benefit Cost

The study examined the profitability and factors affecting farm income from pig farming in Moulvibazar district of Bangladesh. A multistage sampling technique was followed to select 70tribal women entrepreneurs involved with pig farming. Primary data were collected through structured questionnaire and analyzed using descriptive statistics, independent sample t-test, benefit-cost analysis, and linear regression model. Average age of pig entrepreneurs was 39.47 years which indicates that they are young and agile. About 71% of Garo entrepreneurs had experience for pig farming. The cost and return analysis showed that in one year, the gross margin was Tk. 56743.70, while the benefit-cost ratio (BCR) was 1.19 indicating that the enterprise is profitable. Regression analysis revealed that three variables namely farm size, age of the respondent and experience of pig farming are significant factors affecting farm income. Thus, it was recommended that tribal women should be encouraged to practice pig farming to overcome their low income and unemployment situation.SAARC J. Agri., 16(1): 115-127 (2018)

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.

Water Saving Technologies: A Measure to Avert Fluoride Contamination in Tamil Nadu

2020 ◽  
pp. 431-436
Keyword(s):  
Tamil Nadu ◽  
Sampling Technique ◽  
High Water ◽  
Water Saving ◽  
Primary Data ◽  
Farm Income ◽  
Agricultural Technologies ◽  
Fluoride Contamination ◽  
Education Experience ◽  
Education Activity

Over abstraction of groundwater and over use of phosphatic fertilizer in the farmer's field, one of the cause of fluoride contamination in groundwater. In India, many studies have reported that the groundwater contaminated with fluoride. Tamil Nadu is one among fluoride contaminated state. Farmers are irrigating the crops through groundwater for high water consumption crops such as paddy, maize and sugarcane. Water saving technologies shifted the production function up and also reduced the abstraction of groundwater. An attempt was made to study the level of adoption of agricultural technologies among fluoride affected farmers for major crops and analysed the factors influencing water saving technologies in fluoride affected locales. Primary data was collected from 184 farmers through multistage random sampling technique. Technology adoption index and logit model was used. The results showed that most of the farmers were non adopters of water saving technologies compared to adopters of technologies in fluoride affected locales. Age, education, experience of farmers, farm income, depth of well, awareness about fluoride contamination and contact with extension personnel were significantly influenced the water saving technologies adoption. Therefore, the efforts are required to intensify the extension education activity to increase awareness among the farmers so as to accelerate the process of adoption as it is one of the measure to avert fluoride contamination.

scholarly journals Farmers Contribution to Agriculture in Rural Development of Fufore Local Government Area of Adamawa State, Nigeria

2020 ◽  
pp. 156-167
Author(s):  
M. R. Umar ◽  
I. J. Suleiman
Keyword(s):  
Local Government ◽  
Rural Development ◽  
Multiple Regression ◽  
Sampling Technique ◽  
Education Level ◽  
Local Government Area ◽  
Farm Size ◽  
Primary Data ◽  
Farm Income ◽  
Access To Credit

This study was carried out to access farmer’s contribution to Agriculture in Rural Development of Fufore LGA of Adamawa State, Nigeria. Seven wards within the LGA were selected (Ribadu, Gurin, Farang, Mayo-ine, Pariya, Karlahi and Yadim). Thirty (30) questionnaires were randomly distributed to the household in each ward selected through multi-state random sampling technique as primary data. A total of Two Hundred and Ten (210) farmers were selected for the study. Data were analyzed with the aid of descriptive statistics and multiple regression models. Results show that Age, Marital status, Farm size, Family size, Education level have percentage ranging from 10-28.6, 13.3-31, 4-69, 5.2-31 and 15.2-37.6% respectively while Primary occupation, Access to credit, Number of extension visit and farm income percentage values ranged from 3.8-43.9, 15.7-25.7, 5.7-53.4 and 8.1-35.7% respectively.  The result further shows that the majority of the respondents are still in their youthful stage and 31% of them were married. The study further reveals that 69% of the respondents cultivate on 1-5 hectares of land, the result of the multiple regression analysis indicates that farm size was negative and significant at 5% level; Education level has a positive coefficient and significant at 1% level while access to credit coefficient was positive and significant at 5% level. The findings of the regression equation determine the manner towards farmer’s contribution to agriculture in rural development and examine the constraints militating farmer’s contributions to agriculture in the study area. Cob-Douglas function with R­2 value of 0.813 was chosen as the lead equation. Low price of farm output poor extension visits, market distance, is some of the major problems affecting the contribution of agriculture to the development of the study area. It was therefore recommended that there is need to train and provide farming equipment’s, agricultural credit should also provide the needed environment to foster rural development facilities in Fufore Local Government Area of Adamawa State.

scholarly journals Factors Affecting Ginger Production in Surkhet District, Nepal

2019 ◽  
Vol 7 (2) ◽  
pp. 269-273
Author(s):  
Sudip Mahat ◽  
Sundar Sapkota ◽  
Sanjib Sapkota ◽  
Krishna Katuwal
Keyword(s):  
Group Discussion ◽  
Sampling Technique ◽  
Positive Association ◽  
Simple Random Sampling ◽  
Farm Size ◽  
Primary Data ◽  
Chi Square ◽  
Factors Affecting ◽  
Chi Square Test ◽  
Labor Crisis

Ginger is a high value crop belongs to family Zingiberaceae. Ginger has multiple health benefits and can be easily grown in mid-hill regions of Nepal. The major challenge is the limited availability of information on factors affecting ginger yield. The objective of this project was to analyze different factors influencing ginger production. The study was conducted in Surkhet district of Nepal in 2018. A total of 100 farmers (60 and 40 from Barahtal and Chingad rural municipalities respectively) were selected using simple random sampling technique. Primary data were collected using interview schedule, focus group discussion and key informant interview. Data were analyzed using Statistical Package for the Social Sciences (SPSS) and Microsoft Excel. The descriptive statistics, chi-square test and correlation were used to derive conclusion. The average age and land under ginger cultivation were 41 years and 0.093 hectare respectively. Average ginger production in the study area was 980 kg per ropani. There was a strong positive relationship between farm size and ginger production. Training, subsidy and labor crisis had positive association with ginger production. However, family size and years of schooling were not significant but positively correlated. It is recommended that concerned authorities should give emphasis on farmer training, extension services, and subsidy to enhance ginger production. Int. J. Appl. Sci. Biotechnol. Vol 7(2): 269-273  

scholarly journals Awareness and Constraints of Aquaculture Biosecurity Among Fish Farmers in Ekiti State, Nigeria

2021 ◽  
Vol 21 (2) ◽  
pp. 83-92
Author(s):  
Siyanbola A. Omitoyin ◽  
Kemisola D. Osakuade
Keyword(s):  
Sampling Technique ◽  
Juvenile Stage ◽  
Descriptive Statistics ◽  
Farm Size ◽  
Primary Data ◽  
Small Scale ◽  
Extension Agents ◽  
Fish Diseases ◽  
Multi Stage ◽  
Scale Of Operation

The study investigated the level of awareness and constraints the farmers were facing in adopting effective biosecurity measures in Ekiti State. Primary data were collected using multi-stage sampling technique to randomly select 150 fish growers, out of which 144 questionnaires were recovered. Analysis was carried out using descriptive statistics, four-point Likert scale and multiple regression. The result showed that 76.4% of the fish farmers with mean age of 40.48±10.28years were married, 61.1% owned the land on which they farm their fish, 73.6% operated as small scale fish farmers with farm size of <1 hectare. About 91.0% knew about fish diseases, the main source of pollution on the farm was flooding while some (61.1%) experienced outbreak of fish diseases at juvenile stage. High cost of facilities, lack of financial assistance, poor knowledge on biosecurity, expensive laboratory charges and inadequate monitoring by extension agents was perceived as the major constraints. The farmers need financial help to get adequate facilities and to enlarge their scale of operation. Adequate extension services to enlighten them on the effective biosecurity measures should be adopted.

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 Economics of pineapple production in Awgu Local Government Area of Enugu State, Nigeria

2020 ◽  
Vol 8 (11) ◽  
pp. 245-252
Author(s):  
David Okechukwu Enibe ◽  
◽  
Chinecherem Joan Raphael ◽  
Keyword(s):  
Local Government ◽  
Scale Up ◽  
Sampling Technique ◽  
Local Government Area ◽  
Farm Size ◽  
Primary Data ◽  
Farm Income ◽  
Access Road ◽  
Enugu State ◽  
New Farmers

The study analyzed the economics of pineapple production in Awgu Local Government Area (LGA) of Enugu State, Nigeria. Data for the study were collected from 50 respondents from Amoli and Ihe communities of the LGA through a simple random sampling technique. The communities were purposively selected because they contain higher concentration of pineapple farmers. Primary data were collected using interview schedule administered to the respondents. Data were realized with descriptive statistics, enterprise budgeting techniques and multiple regression analysis. The study revealed that (36%) of the farmers had farming experience of 1 to 10 years’ experience in pineapple production, indicating that new farmers entered the crop’s production sector within the last decade. The enterprise proved profitable with farmers’ net return on investment value of 1.7. Farm size, cost of input, level of education and household size significantly determined net farm income. It was further revealed that poor access road and high transportation cost were the main constraints of the pineapple producers. The study concluded that profitable production opportunities exist on the crop. The study recommends that extension agencies should encourage more new farmers to exploit pineapple production potentials while encouraging its existing farmers to scale up production through farm size increment, reinvestment of their gains and production knowledge increase.

Determinants of Diversification in Relation to Farm Size and other Socio-economic Characteristics for Sustainable Hill Farming in Himachal Pradesh

2020 ◽  
pp. 418-424
Keyword(s):  
Agricultural Development ◽  
Low Cost ◽  
Insect Pest ◽  
Empirical Relationship ◽  
Sampling Technique ◽  
Price Policy ◽  
Farm Size ◽  
Primary Data ◽  
Crop Diversification ◽  
Tobit Regression

Crop diversification is an important issue for agricultural development in the Himalayan region, where an abundant amount of natural resources are available. Diversification is a frequently used risk management strategy that involves participation in more than one activity. It has the advantage of mitigating diseases problem, weeds problem, insect-pest problems and price risk as well as fluctuations in output. The present investigation was an attempt to identify the empirical relationship within a static framework, between crop diversification and selected socio-economic variables and these relationships were sensitive to different diversification measures used. The study is based on primary data collected from the selected respondents with the help of multistage random sampling technique. The acreage and gross income diversification Index i.e., index of maximum proportion (0.45, 0.58), Herfindahl index (0.30, 0.42) and entropy index (0.64, 0.52) showed that farms were diversified. For determining the effect of different factors on diversification, a censored Tobit regression model was used. The results showed that distance from the market (Km), experience (years), cropping intensity, crop yield index, literacy rate, literacy index, farm size and dependency ratio the to family size was significantly affecting the diversification index. It is the present need to motivate the farmers to diversify farming through providing facilities such as price policy, proper market and disseminating market information at the appropriate time and providing low-cost agricultural technology, etc. in order to get benefited by diversifying the farm.

scholarly journals Drivers of Cooperation Activity in Kosovo’s Agriculture

Agriculture ◽  
2019 ◽  
Vol 9 (5) ◽  
pp. 96 ◽  
Author(s):  
Shyhrete Muriqi ◽  
Maria Fekete-Farkas ◽  
Zsolt Baranyai
Keyword(s):  
Rural Areas ◽  
Binary Logistic Regression ◽  
Sampling Technique ◽  
Farm Size ◽  
Primary Data ◽  
Binary Logistic Regression Analysis ◽  
Factors Affecting ◽  
Level Of Education ◽  
Cooperative Institutions ◽  
High Level

This research aims to determine the demographic and economic factors affecting agriculture cooperation activity in Kosovo. Primary data was collected from 249 farmers in Kosovo through structured questionnaires using the random sampling technique. The results show that the level of cooperation among farmers in Kosovo is low due to the lack of trust in the cooperative institutions. The binary logistic regression analysis used in the study shows that location, gender, age, education level, trust, and farm size have significantly influenced the cooperation activity. Findings also highlight that the farmers who live in rural areas, as well as those who are young and have got a higher level of education and trust, show a higher level of activity associated with cooperation, whereas farms managed by (older) men with lower level of education are less likely to cooperate. Estimation indicates that medium sized farms show a high level of cooperation, which can be statistically verified, and only the type of farming has nonsignificant influence in cooperation.

Sign in / Sign up

Export Citation Format

Share Document