scholarly journals Membership in association, gender and adoption of land-enhancing technologies among arable farmers in Ogun state, Nigeria

2020 ◽  
Vol 12 (2) ◽  
pp. 189-201
Author(s):  
R. Adeyemo ◽  
A.D. Kehinde
Keyword(s):  
Sampling Procedure ◽  
Organic Manure ◽  
Descriptive Statistics ◽  
Hurdle Model ◽  
Extension Agents ◽  
Extension Services ◽  
Double Hurdle Model ◽  
Ogun State ◽  
Double Hurdle ◽  
Multistage Sampling

Abstract. This study investigated the effect of membership in farmers’ association on adoption rate of land-enhancing technologies in Ogun State, Nigeria by gender. Specifically, it describes the socio-economic characteristics of the farmers by gender, identifies land-enhancing technologies adopted by farmers in the study area, determines the adoption rates of the technologies by gender, and determines the membership in farmers’ association on the adoption and intensity of use of land-enhancing technologies by gender. Multistage sampling procedure was used to select 120 respondents for the study. The data were analysed using descriptive statistics and the Cragg’s (double-hurdle) model. The results of the descriptive statistics, which are expressed by gender, reveal that the sampled population were majorly comprised of males (58%), than females (42%). The level of association membership was 54% for females and 35.29% for males, and only 33.82% of the respondents had contact with extension agents. The results also show that 17.65% of males and 10% of females did not adopt any technology. The results from the Cragg’s double hurdle model show that extension contact significantly influenced the adoption of most of the technologies. It had a positive relationship with the adoption of all the technologies across both genders, except for organic manure whose adoption was negatively influenced. It is therefore recommended that relevant governments and stakeholders improve extension services, as well as consider farming associations as means of getting across to female famers in order to improve their adoption levels and productivity.

scholarly journals Adoption of improved processing technology among African locust bean processors in south-west, Nigeria

2020 ◽  
Vol 10 (1) ◽  
pp. 123-128
Author(s):  
A Kolapo ◽  
OE Omopariola ◽  
AO Adeoye ◽  
AJ Kolapo
Keyword(s):  
Sampling Procedure ◽  
Processing Technology ◽  
Institutional Factors ◽  
Hurdle Model ◽  
Access To Credit ◽  
Double Hurdle Model ◽  
South West ◽  
Multi Stage ◽  
Locust Bean ◽  
Double Hurdle

The paper investigated the effect of socio-economic and institutional factors on the adoption of improved locust bean processing technology in South-West, Nigeria. Specifically, the study described the socio-economic characteristics of the locust bean processors, examines the level of awareness and adoption of the improved locust bean processing technology in the study area and determines the effect of socio-economic and institutional factors on the adoption and intensity of use of improved locust bean processing technology in the study area. A multi-stage sampling procedure was used to select 360 respondents used for the study. The data were analyzed using descriptive statistics and the Cragg’s (double-hurdle) model. The result of the study showed that majority (84%) of the locust bean processors were female with an average age of 48 (±11.36) years. Majority (97%) of the respondents were married with an average household size of 8.25 (±4.32) persons. The result showed that 44.2% were aware while 55.8% were not aware of the technology in the study area. The results from the Cragg’s double hurdle model show that in the first hurdle, age, experience, access to credit and awareness positively influenced the decision to adopt the improved locust bean processing technology while in the second hurdle, education and income positively influenced the intensity of the use of the improved locust bean processing technology. It is therefore recommended that Relevant stakeholders, agencies and government should made available credit facilities which will enable the locust bean processors acquired the technology in no distant time. Int. J. Agril. Res. Innov. Tech. 10(1): 123-128, June 2020

scholarly journals ANALYSIS OF PROFITABILITY OF SESAME PRODUCTION IN YOBE STATE, NIGERIA

2020 ◽  
Vol 4 (2) ◽  
pp. 46-69
Author(s):  
Samuel E. Jonah ◽  
Baba G. Shettima ◽  
Abba S. S. Umar ◽  
Enan Timothy
Keyword(s):  
Sampling Procedure ◽  
Descriptive Statistics ◽  
The Other ◽  
Gross Margin ◽  
Extension Services ◽  
Socioeconomic Characteristics ◽  
Average Return ◽  
The Government ◽  
Multistage Sampling ◽  
The Right

Purpose: The study examined the profitability of sesame (Sesanum indicum) production in Yobe State, Nigeria. Methodology: One hundred and eighty (180) sesame farmers were sampled from 12 villages spread across three Local Government Areas in Yobe State using multistage sampling procedure.  The descriptive statistics such as frequency, percentages and mean were used to describe the socioeconomic characteristics of farmers and constraints associated with sesame production. The inferential statistics employed was the Gross margin (GM) which was used to estimate the profitability of sesame production. Findings: The result of socioeconomic characteristics revealed that majority (77.77%) of the respondents were aged between 21-60 years old and all (100%) of the respondents had one form of education or the other. The result of profitability of sesame production revealed that the gross margin (GM) was  N157,519.00 and the average return per Naira invested was N2.07. Some of the major constraints faced by farmers in sesame production are inadequate fund (88.7%), inadequate extension services (72.0%), problem of pest and disease (66.1%) among others. Recommendations: the study recommended that strategies to improve profitability should focus on improved farmer access to institutional credits and improved infrastructural facilities such as access roads for easy linkage to markets. Also, In order to cope with the problem of inadequate and high cost of seed, the government and research institute should make improved seed available at the right time and also at subsidies rate to the farmers. Keywords: sesame production, profitability, constraints, gross margin, Yobe State

scholarly journals DETERMINANTS OF UTILIZATION AND PARTICIPATION IN THE COLLECTION AND SALES OF FOREST PLANT LEAVES IN OGUN STATE, NIGERIA

2017 ◽  
Vol 17 (1) ◽  
pp. 25-35
Author(s):  
S. D, IDOWU ◽  
S. A. OLUWALANA ◽  
S. MOMOH ◽  
S. A. OLUWALANA ◽  
A. O. IDOWU
Keyword(s):  
Regression Analysis ◽  
Sampling Procedure ◽  
Descriptive Statistics ◽  
Structure Questionnaire ◽  
Plant Leaves ◽  
Logit Regression ◽  
Ogun State ◽  
Net Profit ◽  
And Gender ◽  
Multistage Sampling

Determinants of participation in the collection and sales of forest plant leaves in Ogun state were investigated. Multistage sampling procedure was employed to select three hundred (300) respondents for the study. A structure questionnaire was used to elicit information from the respondents. Data obtained were analyzed using descriptive statistics, logit regression and budgetary analysis. The logit regression analysis results showed that the likelihood of utilization of the forest plant leaves is significantly determined by nature of the respondents occupation (farming and NTFPs) and their household size while the likelihood of participation in the collection and sales of forest plant leaves is significantly determined by nearness to the forest plant leaves, income realized from the leaves and gender. Sales of leaves were profitable with an average net profit of N14,179.17/month/respondent. Enlighten programs on forest plant leaves activities as means of livelihood and alleviation of poverty should be embarked upon for rural folks.  

scholarly journals AWARENESS, PERCEPTIONS AND WILLINGNESS TO PAY FOR PRO VITAMIN ‘A’ GARRI: EVIDENCE FROM A RURAL AREA OF OYO STATE, NIGERIA

2020 ◽  
Vol 55 (1) ◽  
Author(s):  
Omotoso Oluseye Ogunmola
Keyword(s):  
Vitamin A ◽  
Willingness To Pay ◽  
Nutrition Education ◽  
Vitamin A Deficiency ◽  
Agricultural Extension ◽  
Negative Influence ◽  
Hurdle Model ◽  
Extension Agents ◽  
Double Hurdle Model ◽  
Double Hurdle

The energy exercised at combating Vitamin A deficiency is a crucial feat to public health challenge among vulnerable niche of people in developing nations. Effort to ameliorate the prevalence of vitamin A deficiency, bio-fortified cassava processed to garri which encompasses more pro-vitamin ‘A’ carotenoids than the white cassava has been presented to such areas. This study therefore examined the awareness, perceptions and willingness to pay for Pro-vitamin ‘A’ garri in Oyo state, Nigeria. Multistage sampling procedure was used to collect data from 150 sampled respondents and analysed using descriptive statistics and double-hurdle model. Results revealed that about 47.5% of the respondents are aware of the availability of pro-vitamin ‘A’ garri but have low level of awareness. However, 67.3% of the consumers are aware of pro-vitamin A’’ garri from agricultural extension agents, radio and friends. The maximum, minimum and average amount the consumers were willing to pay for pro-vitamin ‘A’ garri per kilogram was ₦500 ($1.39), ₦160 ($0.44) and ₦220.08 ($0.61) respectively. The double hurdle model showed that income, other income sources and awareness (agricultural extension agents and friends) exerted significant and positive influence on consumers’ willingness to pay for pro-vitamin ‘A’ garri. Similarly, education and radio awareness significantly and positively influenced the amount willing to pay for one kilogram of pro-vitamin ‘A’ garri while household size exerted a significant and negative influence. The study therefore advocate for nutrition education as an important tool in communicating the nutritional and health benefits of bio-fortified crops and also an important factor that affects acceptability of bio-fortified crops.

scholarly journals Economic impact and determinants of adoption of improved maize production technologies

2018 ◽  
Vol 63 (2) ◽  
pp. 217-228
Author(s):  
Abiodun Obayelu ◽  
Damilola Ajayi
Keyword(s):  
Regression Analysis ◽  
Production Technology ◽  
Positive Influence ◽  
Sampling Procedure ◽  
Descriptive Statistics ◽  
Extension Agents ◽  
Maize Production ◽  
Production Technologies ◽  
Multistage Sampling ◽  
Structured Questionnaire

The problem of what production technologies to adopt, and the degree to which farm operations should be improved for attainment of optimum economic benefit have remained undetermined. This study analysed the economics and determinants of adoption of the improved maize (Zea mays) production technology package in Oyo State of Nigeria. A multistage sampling procedure was employed to select one hundred and twenty maize producing farmers for the study in 2016. Data for the study were collected using a structured questionnaire and analysed with descriptive statistics and adoption index, regression analysis and the standard enterprise budgetary analysis. Results from the regression analysis showed that variables such as sex, farming experience, years of education, extension visits, and level of awareness of the technologies had a significant and positive influence on the adoption of improved maize technologies in the study area. Findings from the budgetary analysis revealed that improved maize production technology adopters made N438,367.23 compared to N374,426.44 profits per hectare of maize produced by the non-adopters during the year of survey. The results further revealed that on every naira invested in maize production, the adopters were able to make N7.64 in return compared to N6.00 returns by the non-adopters. There is the need for an increase in awareness of maize production technologies among the farmers, through the extension agents and social networks in order to increase the level of adoption of maize technologies.

scholarly journals Determinants of Inorganic Fertilizer Use Intensity on Cereal Crop among Smallholder Farmers: The Case of Toke Kutaye District, West Shewa Zone, Oromia National Regional State, Ethiopia

2022 ◽  
Author(s):  
Aman Dassa ◽  
Abera Ifa ◽  
Efa Gobena
Keyword(s):  
Inorganic Fertilizer ◽  
Farm Income ◽  
Hurdle Model ◽  
Cereal Crop ◽  
Fertilizer Use ◽  
Explanatory Variables ◽  
Double Hurdle Model ◽  
Small Holders ◽  
Double Hurdle ◽  
Land Size

Abstract The study was aimed to analysis determinants of inorganic fertilizer use intensity on cereal crops among small holders in Toke Kutaye District, West Shewa Zone, Ethiopia. Correctional data were collected from 156 respondents using two stage random sampling methods. Data analyses were carried out using descriptive statistics and Double hurdle model. Result of the first hurdle reveals that out of twelve explanatory variables Sex ,Education, Off/non-farm income, Land size and Improved seed were determine positively whereas Age and Distance from nearest market determine small holders use of inorganic fertilizer negatively. The result of second stage of double hurdle model indicate that, out of twelve explanatory variables Sex, family size and Land size were positively affect extent (intensity) of inorganic fertilizer use whereas Age and Distance of household from nearest market determine use intensity negatively. Therefore, these results implied that there is a room to increase inorganic fertilizer use intensity on cereal crop productions. Hence, Farmers capacity to purchase this input beginning from lower income farmers to model farmers should be acknowledged; and should be designed the means to address those who have no ability to use inorganic fertilizer in their own farm through diverse development interventions.

scholarly journals Environmental Disclosure Modelling in a Developing Economy: Does Corporate Governance Matter? A Double Hurdle Regression Approach

2021 ◽  
Vol 12 (4) ◽  
pp. 111
Author(s):  
Gbenga Ekundayo ◽  
Ndubuisi Jeffery Jamani ◽  
Festus Odhigu
Keyword(s):  
Corporate Governance ◽  
Environmental Information ◽  
Information Criteria ◽  
Annual Reports ◽  
Hurdle Model ◽  
Developing Economy ◽  
Significant Determinant ◽  
Environmental Disclosure ◽  
Double Hurdle Model ◽  
Double Hurdle

The paper examines environmental Disclosure Modelling in a Developing Economy using the Craigg double hurdle model and controlling for the role of corporate governance. This study employs the ex-post research design and investigates firm’s environmental disclosures in Nigeria, by controlling for corporate governance characteristics. The study employs a sample of 35 non-financial firms listed on the Nigerian Stock Exchange using the simple random sampling technique. Secondary data retrieved from the financial statements of the selected companies was used for the study. Both the Tobit and double-hurdle models were estimated but based on the Bayesian and Akaike’s information criteria for model selection, the double-hurdle model is preferred. The result reveals that though Board size is not a significant determinant of probability to disclose environmental information in annual reports (-0.0408, p=0.175), it is a significant determinant of the extent of environmental disclosure reports (0.1943, p=0.00) given that a firm has decided to disclose. Board independence is a significant determinant of both probability to disclose environmental information and extent of disclosure (-2.2373, p=0.00) with a negative coefficient. The Board gender diversity is not a significant determinant of probability to disclose environmental information in annual reports (-0.60076, p=0.461), it is a nevertheless a significant determinant of the extent of environmental disclosure reports (-3.5913, p=0.00) when firms then decide to disclose. Institutional ownership turns out to be a significant determinant of both the probability to disclose environmental information and extent of disclosure (0.0273, p=0.00) when firms choose to disclose. Finally, the truncated model results also reveals that though managerial ownership is not a significant determinant of probability to disclose environmental information in annual reports (-0.01352, p=0.148), it is nevertheless a significant determinant of the extent of environmental disclosure reports (-0.0206, p=0.001) when firms then decide to disclose.

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