Binary Probit Regression Model Research Articles

Assessment of Willingness to Pay for Wetlands Protection in Ondo State, Nigeria

Wetlands provide numerous kinds of advantages and functions, making them vital ecosystems. However, the exploitation of these resources has led to their significant depletion. Engaging communities who rely on wetlands in their sustainable management is crucial to stem the degradation of these critical habitats. This research investigated the willingness of individuals to donate financially to the conservation of wetlands in Ondo State, Nigeria. It aimed to identify the factors influencing the community's willingness to pay (WTP) and to measure the financial commitment made to wetland restoration. A systematic multi-phase sample method was used to survey 124 people who lived close to wetlands. The Binary Probit Regression Model (BPRM), the Contingent Valuation Method (CVM), and descriptive statistics were all included in the analysis. The results show that the majority of respondents (64.5%) were men, with an average age of 60 and a typical household size of six people. The importance of wetlands as water reserves was emphasized by more than half of the respondents (52%) to the survey. Moreover, 53% of respondents said that they would be willing to contribute financially to the conservation of wetlands, with an average monthly payment of ₦1038.68. Gender, household size, proximity to wetlands, and yearly income were found to be significant predictors of WTP for wetland preservation in the BPRM analysis. The study highlights the community's overall willingness to contribute to wetlands protection. It promotes laws and initiatives meant to raise regional revenues and encourage more community participation in wetland preservation.

Cocoa Farmers' Participation in Public and Private Agricultural Extension Delivery in Amenfi Central District, Ghana

Agricultural extension and knowledge management have become key blocks in driving sustainable food systems and rural development, especially in periods of dealing with the complexities surrounding climate change and sustainable food systems in localised systems. This study assessed cocoa farmers' participation in public and private agricultural extension services in Ghana. Using descriptive and inferential statistics and collecting data from 385 farmers, the study reveals that private extension services stand out in various indices: access to information (3.72), communication (3.96), and support and follow-up (3.45), while public extension services excel in social and environmental impact (3.54), and knowledge transfer (3.86). Intricate extension programme dynamics also reveal a clear preference for private extension in citizen power (23.6% vs. 7.3%), delegated power (33.2% vs. 8.6%), and partnership (39.2% vs. 13.5%). Using the binary probit regression model, this study examines how various socio-economic factors influence farmers' participation in extension programmes. Results indicate that key determinants for participation in public extension include gender, level of education, land size, availability of labour, and access to credit. Conversely, factors influencing participation in private extension programmes include membership in farmer groups, land ownership, land size, the availability of labour, and access to credit. Policymakers and extension workers can make extension services more useful and open to everyone by focusing on these socioeconomic factors and creating programmes that meet the unique needs and limitations of various farmer groups. This will ultimately lead to higher agricultural productivity, better livelihoods, and better rural development.

Research on Online Sales of Low-Carbon Agricultural Products by New Urban Agricultural Business Entities: Evidence from Shanghai, China

Traditional agricultural business entities present environmental problems such as high energy consumption and high pollution. To achieve goals such as carbon capping and carbon neutrality, governments should encourage urban agricultural operators to sell low-carbon agricultural products online. This could play an important role in smoothing the connection between production and marketing, achieving industrial prosperity and promoting low-carbon agricultural development. This paper explores the formation and behavioral transformation of online sales intention by combining the theory of planned behavior, the Motivation–Opportunity–Ability (MOA) model, and the binary Probit regression model using data from 106 questionnaires. The study found that economic expectations and social norms can significantly improve online sales intention during the formation stage of online sales intention. Behavior control is not conducive to improving online sales intention. In addition, we found a gap between the willingness of urban agricultural operators to sell online and their behavior. This gap requires activation and adjustment of the opportunity and capability factors in the behavior transformation phase. Finally, we found that the strengthening of policy conditions and management capacity facilitated the transformation of urban agricultural operators’ willingness to sell online into behavior. This paper provides recommendations for the online sales of low-carbon agricultural products. While we continue to deepen urban agricultural operators’ knowledge of online sales, we should also pay attention to the creation of external opportunities that are suitable for the development of online sales, and identify differences in capacity among operators. This will provide precise services.

Farmers’ willingness to pay for metal silo cereal storage technology in northeast Ethiopia

In Ethiopia, cereal crops play a significant role in food security and income for most smallholder farmers. In the Gubalafto district, the environment is ideal for growing vital cereal crops such as sorghum, maize, and teff. However, various factors such as weevils, rodents, mold infestation, and lack of suitable storage materials were blamed for a post-harvest loss of cereal at the storage stage in the district. Hence, this research study was intended to identify factors affecting households' willingness to pay for metal silo cereal storage technology and the maximum willingness to pay for the technology. The study used both primary and secondary sources to gather the data. A total of 385 sample households were selected using a systematic random sampling technique. The semi-structural questionnaire was used to collect the primary data during a face-to-face interview, and double-bounded questions were also followed by open-ended questions. Combinations of data analysis methods such as descriptive, inferential statistics, and econometrics models were used. a binary probit regression model was used to identify factors that influenced farmers' willingness to pay for metal silo cereal storage technology. A bivariate probit regression model was also used to estimate the household's willingness to pay for metal silo cereal storage technology. The survey results showed that the majority (71.69%) of the sample households were willing to pay for metal silo cereal storage technology due to the severity of cereal post-harvest loss. Moreover, the binary probit model results revealed that household educational status, total household annual income, market accessibility, and extension service positively and significantly affected the household's willingness to pay decisions. The mean willingness to pay of households in open-ended and double-bounded methods was 4157 Ethiopian birr and 5147 Ethiopian Birr (ETB), respectively. In general, the result of the study revealed that farmers were more willing to adopt metal silo cereal storage technology due to its high-storage quality. Therefore, as a part of the recommendations, there should be great integration among farmers, metal manufacturing factories, local and regional governments to supply and offer metal silos technology for farmers at a reasonable price and time. Moreover, training should be arranged on how to use the metal silo technology to prevent post-harvesting loss during the storage time.

Drivers of Health Insurance Coverage in Low Income Settlements: A Case of Kibera Informal Settlement, Nairobi County, Kenya

Insurance is critical for any country's economic growth and development to be sustainable. In rural areas of Kenya, among the illiterate, unemployed, poor, and vulnerable in society, health insurance adoption is extremely low. This paper focuses on determining the drivers for health insurance uptake among low-income populations in Kibera, Nairobi County. Semi structured questionnaires were administered to households located in Kibera informal settlements to collect data. The Yamane (1967) formula was used to select the sample size. Simple random sampling was adopted in selecting 399 respondents. Both descriptive and inferential analysis were conducted. The binary probit regression model was employed. Health insurance ownership was used as the dependent variable while age, gender, marital status, household size, school attainment, occupation, income levels, religion, cultural beliefs, frequency of hospital visits, cost of premiums, and pre-existing illness were used as the independent variables. Findings revealed that only 27.6 percent of the respondents had health insurance coverage. The findings further revealed that occupation, income levels, and religion significantly influence health insurance ownership among low-income populations in Kibera, Nairobi. Public health insurance cover was the most owned type of health insurance scheme. Recommendations were highlighted for the ministry of health and other relevant stakeholders to raise knowledge on the various health insurance options available and improve flexibility of the products to drive insurance uptake. In addition, national and county governments need to develop programmes and policies that could empower households in the informal settlements. Further, it is necessary for the government to subsidise the cost of acquiring public health insurance covers since this would encourage uptake among low-income families. The ministry of health should also work in conjunction with various religious denominations to campaign for uptake of health insurance among the poor.

Modeling COVID-19 Binary Data in the Aspect of Neoplasms as a Potential Indicator of Cancer by Logit and Probit Regression Models

In this study, the effects of disability-adjusted life years (DALYs) from neoplasms and concomitant non-communicable diseases (NCDs) on total deaths from the COVID-19 pandemic until 21 July 2021 are examined globally for 179 countries. For this purpose, the explanatory variables are taken as DALYs as a measure of total burden of diseases in life lost years and lived with a disability years from neoplasm and NCDs. In this study, the total number of deaths caused by the COVID-19 pandemic has been made categorical with the help of the indicator variable and then taken as the response variable. Thus, in this study, the effects of neoplasms and concomitant NCDs on the COVID-19 pandemic are investigated by using binary logit and binary probit regression models in the family of generalized linear models (GLMs) as statistical methods. Specific to this study, the superiority of the probit model which is based on the assumption that the errors have a normal distribution in the statistical sense over the logit model which is based on the assumption that the errors have a logistic distribution is emphasized. As principle results and major conclusion from this study, neoplasms, cirrhosis and other chronic liver diseases, cardiovascular diseases, skin and subcutaneous diseases and other non-communicable diseases have been found to have statistically significant effects on deaths due to the COVID-19 pandemic.

DETERMINANTS OF CONSUMERS PERCEPTIONS REGARDING FRESH AND TETRA PACK MILK IN FAISALABAD, PAKISTAN

Pakistan is the fourth largest producer of milk in the world. Milk is consumed in both fresh and tetra pack form in the country. This study explores the socioeconomic factors that affect the consumer’s preferences towards tetra pack and fresh milk consumption. Primary data were collected from a number of 130 randomly selected consumers using a well-structure questionnaire from Faisalabad district of Punjab, Pakistan. For analytical purpose, binary probit regression model was used, where multiple factors were identified that influence the consumer decision of buying milk. Results revealed that income, education, milk price, age and gender of consumer, reason of milk preference and advertisement were significant determinants that affected the consumers’ preferences towards milk. Income and price of milk were considered dominant factors that affected the consumer’s preferences of milk type. The probit regression estimates indicated that the price was negatively related to tetra pack milk, where one PKR increase in price of milk decreased the probability of tetra pack milk consumption by 21.3 percent. The fresh milk is inferior goods in regarding to income level. For one PKR increase in income the likelihood of consumer buying decision towards tetra pack milk increased by 14 percent. The effect of education level of the household on the probability of buying milk has been found to be significant. Another important factor was ‘health and hygienic consideration’, the consumers who believe that the tetra pack milk is hygiene and healthy are 8.7 percent more likely to prefer tetra pack milk instead of fresh milk. The study suggests government to reduce price difference of fresh milk and tetra pack milk in order to enhance the assurance of quality milk to consumers. Milk processing and marketing stakeholders need to meet quality standards and provide milk at fair price to customers.

Do Ultra-Orthodox Israeli Jews Suffer more than Secular Israeli Jews from Obesity? Gender, Cohort Effect and the Yule-Simpson Paradox.

The Yule-Simpson paradox indicates contradicting statistical outcomes for the pooled sample and for each stratified group separately. The objective of the current study is to demonstrate this paradox. The sample is based on a 2015-2016 longitudinal survey carried out by the Israeli Central Bureau of Statistics. The sample includes 1194 individuals, where the responses of 1140 individuals were assessed twice (in 2015 and 2016) and the responses of 54 individuals were recorded only once. This gives a total sample of 2334 observations × years. The sample includes 609 females and 585 males. We use the limited dependent binary probit regression model. The dependent variable is a dummy variable that equals 1 if the individual is obese (BMI ≥ 30, where BMI = WEIGHT ÷ (HEIGHT2), WEIGHT is measured in kilograms and HEIGHT is measured in meters) and zero otherwise. The independent variables are the denomination (secular vs. ultra-Orthodox) and age in years. Findings suggest that on the one hand, for the pooled sample of 21-50-year-old females and males, results clearly support the conclusion that compared with secular Israeli Jews, projected probability of obesity (BMI ≥ 30) among ultra-Orthodox Israeli Jews is higher (p = 0.0128). On the other hand, when stratified by gender, one cannot reject the opposite conclusion, according to which projected probability of obesity is equal for all cohorts among ultra-Orthodox and secular Israeli Jews. Research findings thus stress the importance of cautious and rigorous statistical analysis and robustness tests prior to statistical inference.

Covid-19 vaccination intensions among literate Ghanaians: Still the need to dissipate fear and build trust on vaccine efficacy?

PurposeThe study examined Covid-19 vaccinations intentions among literate Ghanaians and how it is been influenced by vaccine mistrust and the fear of the unforeseen side effects.Design/Methodology/ApproachWe used cross sectional data collected from 223 respondents by means of questionnaire disseminated through social media from 16th to 20th April, 2021. Likert-scale questions were asked regarding the knowledge, attitudes and perceptions of literate Ghanaians towards COVID-19 vaccines. Kruskal-Wallis and sample t-test were performed to ascertain the differences in vaccination intentions between key socioeconomic variables. A pairwise correlation was performed to examine the relationship between vaccination intensions and fear of the unforeseen, mistrust of the vaccine and concerns of profiteering. Finally, a binary probit regression model was fitted to examine the predictive effect of key variables on respondent’s vaccination intentions.FindingsThe results revealed a relatively low level of knowledge about the safety and efficacy of the COVID-19 vaccines. The sample t-test showed that males have a relatively positive attitude towards the COVID-19 vaccines than females at 5% level of significance. Mistrust of vaccine safety and efficacy have a significant negative influence on vaccination intensions at 1% significance level.Originality/ValueThis study provides the Ghanaian government and other stakeholders with useful information to aid in educational campaigns on the safety and effectiveness of the COVID-19 vaccine. More campaign efforts towards females could help increase uptake given their relatively poor attitudes towards the vaccine.

Socioeconomic Disparities in Health Care Consumption: Using the 2018-China Family Panel Studies.

The existing research on residents’ health care consumption mostly covers medical care consumption and seldom regards residents’ health care consumption as an independent research object. This article takes residents’ healthcare consumption as the research object and aims to explore the impact of socioeconomic status on healthcare consumption and its mechanisms. The data of this study came from the 2018-China Family Panel Studies (CFPS). The binary probit regression model and the Tobit model explored the impact mechanism of residents’ income, education, occupation, and physical activity on health care consumption decision-making and health care expenditure, respectively. The research results showed that, from the perspective of the direct influence mechanism, residents’ work income (0.029, p < 0.01) and education level (811.149, p < 0.01) had a significant positive impact on health care consumption. Residents whose occupations (−99.697, p < 0.01) tend to be more skilled and also have higher health care consumption. From the perspective of the mediating mechanism, residents’ physical exercise duration had a significant positive impact on their participation in healthcare consumption (0.005, p < 0.01) but had a weaker impact on healthcare consumption expenditure (21.678, p < 0.1). In general, socioeconomic status represented by income, education, and occupation had a significant positive impact on residents’ health care consumption. The duration of physical exercise also played an important mediating role.

Contract farming scheme for rubber production in Western region of Ghana: why do farmers side sell?

ABSTRACT Contract farming guarantees smallholder farmers a reliable market, allow them to access inputs and technical support, and thus improve their welfare. However, side selling is a major threat to the promotion and development of contract farming in Sub-Saharan Africa, including in Ghana. While there is growing interest in addressing this issue for food crops and other tree crops, particularly coffee, there is limited literature on this subject for rubber. Against this background, our paper contributes to filling this knowledge gap by answering the research question “Why do smallholder farmers engage in side selling?” using primary data from 370 rubber farmers participating in an outgrower scheme in Western region of Ghana. A binary Probit regression model is applied in the empirical analysis. We find that 20% of the rubber farmers engaged in contract farming are involved in side selling. The results show that contractor’s delays in payment, delays in weighing latex and farmers’ difficulty in getting truck to transport latex to sale point are positively correlated with side selling behaviour while farmers’ age and access to extension services decrease their likelihood of engaging in side selling. To curb side selling behaviour among rubber farmers, it is important that the contractor addresses the transaction related challenges faced by farmers.

Adaptation of smallholder farmers to climate risks: Remittances and irrigation investment in the Republic of Moldova

Drought is one of the main limiting factors affecting crop production in many areas in the world. Pressurized irrigation systems enable more efficient use of water compared to surface irrigation systems but are rarely used by small farmers due to higher initial investment and energy costs. The main question investigated in the study is if remittances affect investment in pressurized irrigation (drip or sprinkler irrigation systems). A quantitative questionnaire survey was conducted among 234 small-scale farmers in the Republic of Moldova in 2016. The main result of the binary probit regression model revealed that remittances increased the likelihood of utilization of pressurized irrigation facilities in the study region. This study further contributes to a better understanding of factors that affect farmers’ adoption of pressurized irrigation systems. This knowledge helps policy makers and development organizations shape proper measures to increase the diffusion of this technology and thus the adaptation of smallholder farmers to climate risks. • The use of pressurized irrigation among small farmers is limited in the study area. • High investment and maintenance costs are unaffordable for the majority of farmers. • Remittances facilitate the adoption of pressurized irrigation infrastructure. • Remittances replace a not very well functioning credit market.

Alone or a combination: Ascertaining factors associated with choice of pig health management strategies amongst smallholder farmers in northern Uganda

Pig production is an important farm enterprise for an increasing number of smallholder farmers due to its potential for improving household incomes. The sector is however faced with high burden of health issues that limit most farmers from realizing the benefits. In order to improve management of pig health for smallholder farmers, an understanding of the major health issues and factors associated with farmers’ choice of the pig health management strategies are paramount. Using a cross-sectional survey of 240 smallholder pig farmers in northern Uganda, this study assessed the factors associated with the use of different pig health management practices adopted by smallholder pig farmers. Data analysis involved descriptive statistics and two different regression models. Binary Probit Regression model was used to assess factors associated with the use of a single pig health management strategy, while, Generalized Poisson Regression model was used to assess the factors associated with the number of pig health management strategies used by the farmers. Results showed that the common health issues were African Swine Fever, lice, worms and mange, while the common strategies for health management involved self-administering antibiotics, consulting veterinarians, deworming, spraying with acaricides, selling the sick pigs, treatment with local herbs, and burying dead pigs. These pig health management strategies were influenced by farmers location, experience, age, access to extension, use of information and communication technologies, and use of processed feeds. This study recommends improving farmers’ access to relevant information and expanding veterinary extension services by promoting the use of radio and mobile phones in pig health management.

Dampak Usia, Struktur Keluarga, dan Tingkat Pendidikan Terhadap Perilaku Konsumen (Pengunjung) Destinasi Wisata di Kabupaten Tangerang

One of the important issues as a generator of the world economy is the tourism sector. It can reflected in fluctuations in the number of visitors to tourist destinations that tend to increase, so it becomes a discussion material by both researchers and policy makers. This study investigate the determinants of consumer behavior in determining tourist destinations in Tangerang Regency, namely age, family structure, and education level. This study used a cross-sectional survey approach and analyzed it with a binary probit regression model. Sample sizes were 395 respondents from an infinite population. The sampling technique used an accidental sampling technique. The primary data was obtained using questionnaires that had been tested for validity and reliability. Probit regression analysis showed that the age and level of education have a significant effect on consumer behaviour (visitors) in the selection of tourist destinations, while the family structure was not significant. The contribution of this research provides an alternative model of analysis and improves the consistency of the results of previous research. The current study also contributed to the importance of managing tourist destinations, in order to provide greater benefits for visitors and increased regional revenues from the retribution.

A Quantitative Examination of the Phenomenon of Soli and Public Relations Practice in Ghana

Public Relations (PR) practitioners are cited as being among the top three sources that perpetuate brown envelope journalism (Soli) in their dealings with journalists. The practice, thus, appears to have become a norm among PR practitioners and journalists (reporters) without recourse to the ethical implications of the practice. This study investigates the factors PR practitioners in Ghana consider when they engage in the phenomenon of Soli. The paper adopted the quantitative research approach and the survey design to investigate this phenomenon. Findings of the study were tested using the Binary and Ordered Probit regression models. The results showed no significant relationship between PR practitioners’ knowledge of IPR (Ghana) code of ethics and the payment of Soli by PR practitioners. The results also showed a positive significant relationship between PR practitioners desire to obtain positive media coverage and payment of Soli by PR practitioners. The study recommended the promotion and enforcement of professional and organisational policies on inducement and a redefinition of the media relations function of PR practitioners.

Detecting Risk Factors of Road Work Zone Crashes from the Information Provided in Police Crash Reports: The Case Study of Portugal

Several studies have shown that European police crash reports provide different detail degrees of work zone crash-related data. In this sense, the present study aims to verify the possibility of identifying significant risk factors involved in the occurrence of road work zone crashes with casualties, based on the official data usually available, through a descriptive, binary logistic, and probit regression statistical analysis. To accomplish the analysis, a total of 2597 police-reports related to 1767 Portuguese work zone crashes that occurred during the 2013–2015 period were considered and binary logistic and probit regression models were estimated by the main type of crash, contributing factor, and driver age group. Fifteen explanatory variables, selected based on the literature review and crash data provided in police crash reports, were considered in the analysis. The results obtained for the estimated coefficients and goodness-of-fit test values were found very similar for both link functions (logit and probit) and it was possible to identify risk factors. The modeling results pointed to excessive speed, disregard for vertical signs, luminosity, intersections, and motorcycle and heavy vehicle involvement as the most significant risk factors. Given the results, it is possible to conclude that binary logistic regression can be used in the statistical analysis of the available police official work zone crash data to identify and get some insight into the risk factors involved in work zone crashes. Data analysis also revealed the need to promote adequate and complete crash report filling by police officers. While police crash reports are not revised and standardized to incorporate more detailed work zone crash information, this approach can be used to support a more efficient road operation decision making and the review of some aspects related to work zone layout design.

Factors influencing adoption of high tunnels for tomato production in northeast district, Botswana

The study was carried out to investigate constraints and determinants of high tunnels adoption for tomato production in the North-East District of Botswana, using household survey data sourced directly from 116 horticultural farmers during the months of May and June 2017. Descriptive statistics and a binary probit regression model were employed to analyze constraints and determinants of high tunnels adoption for tomato production. The prohibitive cost of high tunnels, inadequate knowledge on high tunnels, inadequate capital and markets were identified as major constraints that hinder high tunnels adoption. The adoption of high tunnels was found to be positively influenced by years of education, access to extension services and farm size. The findings suggest that encouraging tunnel designers to consider constructing the structure using local materials could be ideal to cut down on the startup cost. Strengthening extension service and re-engineering of the current extension system is necessary to improve the adoption rate of the technology.&#x0D; Int. J. Agril. Res. Innov. Tech. 10(2): 100-109, December 2020

Social Capital and Vulnerability to Extreme Climate in a Semi-urban Fishing Community in Laguna de Bay, Philippines

The study looked into the risks associated with extreme climate events in the case of a semi-urban fishing community surrounding Laguna Lake in the Philippines. A survey was undertaken to determine the economic effects (loss of assets, foregone income, and changes in consumption patterns) of strong typhoons and torrential rains on fishing households. Vulnerability, estimated as the perceived probability of lower consumption after flooding or typhoons, was used to assess the economic impact on households. Household characteristics, including social capital, that may influence consumption vulnerability, were analyzed using a binary probit regression model. Social capital, a multi-dimensional concept consisting of social networks and skills possessed and used by household members to facilitate actions, was modeled using four indicators – two associational (membership in a formal organization and usefulness of informal social networks) and two behavioral (trust and cooperativeness). Regression results revealed that fishing income and household size significantly affect vulnerability. The higher the fish catch and the smaller the household, the less vulnerable is the household to strong storms and torrential rains. Social capital indicators do not significantly affect consumption vulnerability of households.

Factors influencing consumption of street vended local foods (SVLFs) in Urban Ghana

Street foods are important in meeting dietary and nutritional needs of growing urban populations, contributing to their food security needs. In spite of concerns of nutritional value, affordability and localness of street foods, street food vending enterprise is prolific in urban places with consumers of different socio-cultural and economic statuses. This is because several factors inform people on their food choices. These may include their socio-cultural and economic status and not just the food characteristics. This study was to examine the factors influencing consumption of Hausa koko, Waakye and Ga kenkey referred to as street vended local foods (SVLFs) associated with specific ethnic groups in Ghana. Data was collected from a cross section of 631 urban consumers of SVLFs in Accra, Kumasi and Tamale. Binary probit regression models were used to estimate factors influencing SVLFs consumption. Results showed that consumers were from different social, cultural and economic backgrounds. Food characteristics (such as safety, nutritional value, affordability, convenience and closeness to vendor), social status (including, age, educational level and work status), and cultural factors (like consumer coming from place of food origin and consumption of food from infancy) positively influenced consumption of SVLFs. Food vendors should be aware of these factors to promote consumers’ continual patronage of healthy, nutritious and affordable SVLFs in urban Ghana. Key words: Food choices, Hausa Koko, Waakye, Ga Kenkey.

BRANDED RADIO PROGRAM AND ADOPTION OF UNDERUTILISED INDIGENOUS VEGETABLES INNOVATIONS IN SOUTHWESTERN NIGERIA

Purpose: This study assessed the influence of Micro-Veg radio program tagged “Ramo-Elefo” on the awareness and adoption of the innovations introduced as well as its effects on adoption of the innovations among the listeners in south-western Nigeria. &#x0D; Methodology: Data was collected through structured pretested questionnaire administered on 383 respondents who were randomly selected in two states (Oyo and Osun) in south-western Nigeria. Descriptive statistics as well as the binary probit regression model were used to analyse the data.&#x0D; Findings: Results show that more females listen and therefore are more aware of the program and the innovations. Of all those who are aware, most are simply satisfied. Most of the respondents that got aware of innovations on land selection and bed preparation through the radio program eventually adopted them. The innovation that most respondents created interest in was value addition. Most adopted the innovation on harvesting techniques. Membership of MicroVeg group, assistance from family members as well as depth of exposure to the program encourages the likelihood of adoption of the UIV innovations while awareness and satisfaction with the contents of the program are also important motivators of adoption.&#x0D; Theoretical implications: Results from the study shows that the presumed theoretical linkage between awareness and adoption of innovations may not hold in all circumstances, but a series of exposure to the message will encourage adoption.&#x0D; Originality: The study establishes the usefulness of the Radio as a means of propagating beneficial agricultural innovations among the rural populace especially in developing countries.