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Comparing ols and rank-based estimation techniques for production analysis: An application to Ghanaian maize farms.
125-130Views:384This paper introduces the rank-based estimation method to modelling the Cobb-Douglas production function as an alternative to the least squares approach. The intent is to demonstrate how a nonparametric regression based on a rank-based estimator can be used to estimate a Cobb-Douglas production function using data on maize production from Ghana. The nonparametric results are compared to common parametric specification using the ordinary least squares regression. Results of the study indicate that the estimated coefficients of the CobbDouglas Model using the Least squares method and the rank-based regression analysis are similar. Findings indicated that in both estimation techniques, land and Equipment had a significant and positive influence on output whilst agrochemicals had a significantly negative effect on output. Additionally, seeds which also had a negative influence on output was found to be significant in the robust rank-based estimation, but insignificant in the ordinary least square estimation. Both the least squares and rank-based regression suggest that the farmers were operating at an increasing returns to scale. In effect this paper demonstrate the usefulness of the rank-based estimation in production analysis.
JEL CODE: Q18, D24, Q12, C1 and C67
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The connenction between global innovation index and economic well-being indexes
87-92Views:987We study the connection of innovation in 126 countries by different well-being indicators and whether there are differences among geographical regions with respect to innovation index score. We approach and define innovation based on Global Innovation Index (GII). The following well-being indicators were emphasized in the research: GDP per capita measured at purchasing power parity, unemployment rate, life expectancy, crude mortality rate, human development index (HDI). Innovation index score was downloaded from the joint publication of 2018 of Cornell University, INSEAD and WIPO, HDI from the website of the UN while we obtained other well-being indicators from the database of the World Bank. Non-parametric hypothesis testing, post-hoc tests and linear regression were used in the study.
We concluded that there are differences among regions/continents based on GII. It is scarcely surprising that North America is the best performer followed by Europe (with significant differences among countries). Central and South Asia scored the next places with high standard deviation. The following regions with significant backwardness include North Africa, West Asia, Latin America, the Caribbean Area, Central and South Asia, and sub-Saharan Africa. Regions lagging behind have lower standard deviation, that is, they are more homogeneous therefore there are no significant differences among countries in the particular region.
In the regression modelling of the Global Innovation Index, it was concluded that GDP per capita, life expectancy and human development index are significant explanatory indicators. In the multivariable regression analysis, HDI remained the only explanatory variable in the final model. It is due to the fact that there was significant multicollinearity among the explanatory variables and the HDI aggregates several non-economic indicators like GII.JEL Classification: B41, I31, O31, Q55
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DETERMINANTS OF UTILIZATION AND OPTIMUM USE OF FARMER FIELD BUSINESS SCHOOL RECOMMENDATIONS AMONG MAIZE FARMERS IN NORTH WEST NIGERIA
Views:51This study examined the predictors of utilization and intensity of use of Farmer Field Business School (FFBS) recommendations among maize farmers in North West Nigeria. A structured questionnaire was administered to 231 FFBS participants in Kaduna and Kano States. Data were analysed using weighted mean scores, a Utilization Index, Probit regression for the binary utilization decision, and Tobit regression for intensity of use. Results showed that 95.7% of participants utilized FFBS recommendations, yielding a mean Utilization Index of 0.7415. Intensity of use varied widely across practice areas: planting and fertilizer application recorded the highest intensity (WM = 2.49 each), while use of Aflasafe and field measurement returned low scores (WM = 1.39 and 1.58). The Probit model identified sex (p < 0.10), age (p < 0.10), household size (p < 0.05), and land acquisition mode (p < 0.01) as significant determinants of the utilization decision. The Tobit model showed that marital status (p < 0.05), household size (p < 0.10), frequency of extension visits (p < 0.01), and the Perception Index of FFBS (p < 0.01) significantly influenced optimum use. These findings underscore the importance of targeted extension engagement and positive programme perception in deepening practice uptake among smallholder farmers.
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Urban consumers’ attitude towards organic food in Sri Lanka
5-14Views:797This research investigation aims to examine the urban consumers’ attitude towards organic food, and the factors affecting for their attitude. A consumer survey consisting of a sample of 600 consumers was conducted, using a pre-tested questionnaire, in major cities of six main districts of Sri Lanka during November 2016 - May 2018. Data were analyzed using descriptive statistics, factor analysis, and multiple linear regression analysis. Results revealed that majority of the consumers were married females. Most of them were of 18-40 years of age category and were educated up to the GCE advanced level. The sample’s monthly income ranged from Sri Lankan Rupees 58000 – 85000. Although the majority of the consumers (75.2%) were aware of organic food, only 11.5% possessed a good knowledge about them. As per the mean analysis, the consumers had a positive attitude towards most aspects of organic food. According to factor analysis, four factors (environmental factors, quality factors, health factors, and marketing factors) were extracted as they are influenced to the consumer attitude for purchasing of organic foods. Results of multiple linear regression analysis revealed a positive relationship between consumers’ attitude and the extracted four factors which were based on the consumers’ attitude on purchasing of organic foods. Main problems faced by consumers in buying organic food were the high price, unavailability of organic food, lack of trust, and lack of market information on organic food. It can be concluded that by providing the necessary conditions such as arranging better marketing facilities with useful market information, a continuous supply of organic foods with reasonable price levels, and enhancing consumer knowledge, will motivate the consumers to purchase more organic food. As relatively low is known about consumers’ purchasing pattern of organic foods in Sri Lanka, findings of this study would be beneficial to the traders and policy makers to formulate effective strategies designed to marketing of organic foods in the country.
JEL CODE: Q13
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DETERMINANTS OF SMALL-SCALE MACADAMIA NUT PRODUCTIVITY IN ZIMBABWE: AN ORDINAL REGRESSION MODEL ANALYSIS
Views:65This study determines the factors influencing macadamia nut productivity among smallholder farmers in Zimbabwe's Chipinge District. Despite favourable agro-ecological conditions, smallholder productivity (1.89t/ha) significantly lags behind commercial farmers (3.9t/ha) and global benchmarks (7.17t/ha). Using cross-sectional data from 284 registered smallholder farmers collected in 2023-2024, ordinal regression analysis identified critical productivity determinants. Results revealed that farming experience significantly increases productivity, with each additional year of experience raising the log odds of achieving higher productivity by 18.4% (p<0.05). Labour availability positively influences productivity (p<0.05), particularly during labour-intensive operations like pruning and harvesting. Farm resilience score, capturing innovations that reduce field losses and improve market access, exhibited a strong positive effect (p<0.01). Unexpectedly, financial management skills (FMS) and risk management skills (RMS) demonstrated significant negative effects (p<0.05), suggesting a "formalization penalty" where sophisticated management systems incur overhead costs that fail to yield proportional returns in contexts of pervasive market failure, price volatility, and liquidity constraints. The study concludes that while farm experience, labour capacity, and resilience-building investments enhance productivity, the effectiveness of formal management skills is constrained by fundamental market structure failures. Policy recommendations emphasize capacity building in experiential learning, labour skill development, resilience-enhancing technologies, and most critically the market structure reforms to enable formal management systems to function effectively. Addressing transaction costs, information asymmetry, and capital access constraints must precede investments in sophisticated farm management training.
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SOCIOECONOMIC DETERMINANTS OF THE INTENSITY OF MUSHROOM COMMERCIALISATION IN GREATER ACCRA REGION, GHANA
Views:471Fungi, such as mushrooms, have the unique ability to decompose and convert obstinate organic substances into protein, thereby improving nutrition, increasing food security, fostering sustainable agricultural production, and generating income for farmers. Since the 1990s, the Ghanaian government, through the Mushroom Unit of the Food Research Institute of Ghana, has promoted the cultivation and commercialization of (oyster) mushrooms in Ghana as an additional source of income for the urban poor. This study used a cross-sectional survey design, questionnaires, and validated structured interview schedule instruments to collect data from 153 mushroom farmers in the Ga East and Adentan Municipalities of the Greater Accra Region to determine the intensity, degree, characterisation, and factors that influence the intensity of oyster mushroom. The Crop Commercialization Index, frequency, mean, standard deviation, Two Stage Least Square regression and Ordinary Least Square regression were used to analyze the data. The results showed a low intensity (GHC 10202.20) but a high degree (75%)of oyster mushroom commercialization in the study area. The vast majority of oyster mushroom farmers (95%) were highly commercialized, selling more than half of their oyster mushroom output. Except for age, farmers' level of formal education, land ownership, and production volume of oyster mushroom all positively influenced the intensity of oyster mushroom commercialization. The Food Research Institute, the Ministry of Food and Agriculture, and development organizations should step up efforts to increase oyster mushroom production and attract educated, young, and unemployed people to oyster mushroom ventures.
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FACTORS INFLUENCING FEMALE YOUTH PARTICIPATION IN AGRICULTURAL LIVELIHOOD GENERATING ACTIVITIES FOR SELF-CARE IN GWAGWALADA AREA COUNCIL, ABUJA, NIGERIA
Views:392This study examines female youth participation in agricultural livelihood generating activities for self-care in Gwagwalada Area Council, Abuja. The objectives were to: examine the extent of female youth participation in agricultural livelihood generating activities and the income generated, determine the levels of female youth self-care responsibilities and perceived contribution of participation in agricultural livelihood activities on their wellbeing, determine factors influencing female youth participation in agricultural livelihood activities in the study area. A multistage sampling procedure was used to select 133 female youths from 13 registered youth associations. Structured questionnaire was used to collect data while descriptive statistics and Logit regression model were used to analyze the data. The results showed that 30.1% of the respondents were engaged in crop production and generated an average income of ₦420,093.02 while only 3.0% were engaged in crop produce processing and generated ₦29,250.74. Also, almost half (47.4) of them spent money to take care of themselves of between 3-4 self-care responsibilities and about 41.5 spent an average of 130,078.95 on food per day. It also showed The logit regression results indicated that factors influencing female youth participation in agricultural livelihood generating activities include age, educational status, household size, income, occupation, and distance. While the study indicates that a significant portion of female youths is engaged in crop and poultry production, their overall participation in agricultural activities is limited. The study provides critical insights into the potential of agriculture as a viable solution to youth unemployment and is an instrument of female vulnerability reduction in Nigeria. The study recommends implementing policies to improve land access for female youths, including land reform initiatives that prioritize youth ownership and leasing options. Additionally, it suggests exploring strategies to reduce production costs through input subsidies, partnerships with agricultural suppliers, and community-based resource-sharing initiatives.
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Occupational choice and agricultural labour efficiency in Nigeria: Impact of ICTs
111-117Views:386Increased labour efficiency is imperative in the developing world and particularly in Nigerian Agriculture which should be in its leaping phase. The interaction between labour efficiency and ICTs is inevitable in the realisation of the nation’s agribusiness potentials. Following a vivid descriptive statistics on main occupations and access to ICTs among the Nigerian populace, this study assessed effects of ICTs on the probability that a working aged Nigerian chose agricultural occupation over non-agricultural occupations. In doing so, the study analysed the effects of access to ICTs on agricultural labour efficiency in Nigeria. Data used for the analysis were drawn from the Nigerian General Household Survey-Panel held in 2010-2011 period. Analytical framework for the study include: Logistic Regression and Multiple Regression Models. Results show that access to mobile phones, using the internet to obtain information, and using the internet to send or receive mails were significant factors of the probability that a Nigerian chose agriculture or its related activities as a main occupation. Again, access to personal computers, use of the internet for e-banking, e-learning and for reading e-newspapers had significant impact on agricultural labour efficiency in Nigeria. The study recommends that labour policies should find a place for the role of ICTs, particularly the internet.
JEL. Code: Q12
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LAND CONTROL AND POVERTY STATUS OF FARMING HOUSEHOLDS IN NIGERIA
Views:392Poverty is pervasive among the majority of farming households in Nigeria, particularly affecting small-scale farmers. Having gained access to land, control over the land held is very important in improving the quality of life as it plays a vital role in poverty reduction among small scale farmers. This study examined the relationship between land control and poverty status of farming households in Nigeria. The Nigeria General Household Survey (GHS) 2018 was used. Analytical tools used include descriptive statistics, Land Control Index (LCI), Ordered probit regression and Logit regression models. From the results, majority of the Nigerian farmers were male (84.6%) with a mean age of 50±15years, and 81.1% were married, having a mean household size of 7±4 persons. The mean farm size held by the households was 4.42±14.9ha. Farming households had access to the highest proportion (62.79%) of their plots by inheritance, still showing the dominance of inheritance as a means of land access in Nigeria. Also, households had access to 11.80% of the plots by outright purchase, 11.20% by rent in cash or kind (farm produce), and 0.64% by sharecropping; these underscore the growing rural land market in Nigeria. Majority (88.8%) of the households had no control over all the plots of farmlands held (LCI=0) while 6.03% had total control of the plots of farmlands held (LCI=1). This implies that majority can only carry out farming activities (having use right) on the farmland and did not possess legal documents for the land (not able to dispose of the land). The mean household expenditure on food and non-food were ₦8,609.37 and ₦12,587.08, respectively. The mean total expenditure was ₦18,809.20(±10444.45) and the poverty line was ₦8,433.34. The poverty incidence was 41.03%; 41.03% were poor while 58.97% were non-poor. Location of household in the rural sector, especially in the North East, South West, and South East, was significantly positive in determining the level of land control by farming households at 1%. At 10% level of significance, low land control (HCI≤0.25) and medium land control (HCI=0.51-0.75) would significantly increase the likelihood of the household being non-poor by 27.4% and 33.6%, respectively. Land control positively influences the poverty status of the farming households in Nigeria; farming households with low land control can increase their chances of being non-poor. Rural farmers should be encouraged to obtain legal documents on their land to facilitate higher level of control.
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Urban Food Crop Farming and Farm Households’ Food Security Status in Oyo State, Nigeria
23-28Views:373Food production and supply has been on the decline in Nigeria with a consequent impact on household food security. This study examined the influence of urban farming on household food security in Oyo State, Nigeria. Multi-stage sampling procedure was used to select 159 farm households in a cross-sectional survey. Structured questionnaire was used to obtain data on socio-economic characteristics, determine the food security status of urban crop farming households in the study area, and examine the effects of urban crop production on households’ food security status. Data were analysed using descriptive statistics while the statistical tools were Food Security Index (FSI) and Probit Regression Model (PRM). Results revealed that 84.9% of the respondents was male, 81.2% married. The average age, household size, and farm size were 49.6 years, 6 persons, 1.1 hectares respectively. Most (75.5%) of the respondents did not have access to consumption credit and 62.3% did not belong to any farmers association. Based on minimum daily energy requirement per adult equivalent of N230.8, 90.6% of the farm households was food secure.
The PRM showed that age (β = -0.1, p<0.05), household size (β= -0.4, p<0.01) and economic efficiency (β = -61.6, p<0.05) reduced the probability of household food security while access to consumption credit (β= 1.7, p<0.05) and allocative efficiency (β = 67.9, p<0.05) increased the probability of household food security. The study concluded that urban farming significantly influence household food security.
JEL Classification: Q11
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Willingness to pay for locally produced organic foods by urban consumers in Sri Lanka
15-22Views:736Organic food consumption is gradually increasing among Sri Lankan consumers due to an increased awareness on healthy food. Some consumers ready to pay more for organic food, but it varies according to many factors. Therefore, the main objective of this study was to evaluate the urban consumers’ willingness to pay (WTP) for organically produced food in Sri Lanka. The specific objectives of the research were to investigate the socio-economic factors, the level of awareness on organic food, the present situation of buying, and the level of additional price ready to pay and analyze the impact of socio-economic factors on consumers’ willingness to pay. The research was conducted in urban Sri Lanka, covering capital cities of six urban districts of the country; Colombo, Galle, Gampaha, Kandy, Kurunegala, and Rathnapura. Data were collected from November 2016 to May 2018, from 600 consumers, by selecting 100 consumers per city. Data analyses employed were a descriptive analysis and binary logistic regression. Results revealed that, the most of the consumers were females, married, and with a comparatively higher level of education and monthly income. Most consumers had a significant level of awareness about organic food. A lesser proportion of consumers (24%) buys organic food at present, while the majority (52.4%) was willing to pay an extra price. Out of these consumers, the highest percentage (29.3%) prefers to pay 26% to 50% premium prices. As per the results of logistic regression, age, gender, monthly income, and education were the deciding factors for consumers’ willingness to pay a premium price for organic food. Results of this research are helpful for the development of production and marketing strategies and awareness programs for urban consumers on local organic food products.
JEL CODE: Q1, Q13
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Off-farm participation and technical efficiency among smallholder farmers in the Northern Region, Ghana
35-43Views:484The study aimed at investigating the effects of off-farm participation on technical efficiency of maize production in the Tolon district of the Northern Region, Ghana. The Logit regression model was used to analyze the determinants of off-farm participation while the stochastic frontier production function was used to model the determinants of maize output and technical efficiency. The empirical results from the logistic regression model indicate that age of farmer, educational attainment, farming experience, farm size, and previous farm income are significant drivers of farmers’ participation in off-farm activities. Farmers’ average technical efficiency level was 90.7% suggesting a 9.3% potential loss to inefficiency. Moreover, participation in off-farm activities had a negative influence on farmers’ technical efficiency level. The study, therefore, recommends that farm-level policy should be directed towards making the agricultural sector attractive by promoting investment and agricultural employment opportunities in the rural areas so as to ensure full commitment to farming activities.
JEL code: Q22
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Intensity and Profitability of Smallholder Cassava Farmers’ Participation in Value Addition in Afijio Local Government Area of Oyo State, Nigeria
Views:450This study investigated the intensity and profitability of smallholder cassava farmers’ involvement in cassava value addition in Afijio Local Government Area of Oyo State, Nigeria. Data were collected from 150 cassava farming households through the use of a well-structured questionnaire and employing a simple random sampling procedure. The data collected included information on the socioeconomic characteristics of the respondents, intensity of value addition among the respondents, factors influencing their decisions to add value as well as the extent of value addition, profitability of cassava value addition and the factors that determined the profitability level of the enterprises. The data were analyzed using the descriptive statistics for profiling the socioeconomic characteristics of the respondents, gross margin was used to measure profitability, and ordinary least squares regression model was used to determine the factors influencing the decisions of smallholder cassava farmers to add value to cassava as well as the extent of value addition among them. The results revealed that majority of the respondents were females (52.7%) with average age between 31-40 years of age while the average household size (52.7%) is between 6-10 members. Regression analysis of the determinants of the intensity of value addition revealed that the decisions to add value to cassava as well as the extent to which value was added were influenced positively by educational attainment, household size, and years of experience in cassava value addition. Results of the gross margin analysis revealed a positive return on variable costs thus indicating that the cassava value adding enterprise is a profitable one. These findings presented the need for all the stakeholders concerned to focus their attentions on proffering solutions to the challenges faced by cassava processors within the minimum time possible.
JEL code: L11, M11, M21, Q13, R32
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ACCESS TO CREDIT AND ITS INFLUENCE ON COCOA FARMERS’ WILLINGNESS TO PAY FOR EU-APPROVED PESTICIDES IN ONDO AND OSUN STATES
Views:248This study investigated the effect of credit access on cocoa farmers’ willingness to pay for EU-approved pesticides in Osun and Ondo State, Nigeria. A multi-stage sampling procedure was employed to select 240 cocoa farmers for the study. Data collected were analyzed with the aid of descriptive statistics, contingent valuation method and logit regression model. The results for the entire respondents showed average values of 46 years for age, 23 years for years of experience, 7 persons for household size, and 8.54 hectares for farm size. The majority (83.3%) of the farmers used Redforce. Given the current standard mean price of N365 per litre, the majority (62.5%) of the cocoa farmers are willing to pay 25% (price between N 365 – N 466) more on the actual price of the EU-approved pesticides. Logit regression estimates showed that gender, age, marital status, education, extension visit, access to credit, household size, farm size, and quantity of pesticide used significantly influenced cocoa farmers’ willingness to pay for EU-approved pesticides. This study concluded that credit access is an important variable affecting cocoa farmers’ willingness to pay for EU-approved pesticides. This suggests that policy strategies aimed at improving the cocoa farmers’ willingness to pay for EU-approved pesticides must consider their credit access. Based on the findings of the study, it was recommended that Government and agricultural-related organisations should provide credit to farmers to boost their willingness to pay for the approved pesticides.
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Determinants of credit access of cocoa farmers
73-78Views:565Access to credit is one of the critical areas that are of prime interest to development practitioners, agribusiness entrepreneurs and agricultural economists, mainly access to credit by farmers in order to increase their production and also reduce poverty. This study sought to analyze the determinants of credit access among cocoa farmers in the Asunafo North of the Ahafo Region of Ghana. The multistage sampling procedure was used to collect data from 100 cocoa farmers with the aid of a questionnaire. Sources of credit, factors influencing access to credit, and constraints to credit were analyzed with the aid of descriptive statistics, multiple linear regression, and Kendall’s coefficient of concordance respectively. The results of multiple linear regression revealed that, age, marital status, education, experience, and family size were significant factors that influenced access to credit. The constraints analysis with the aid of Kendall’s coefficient of concordance showed that, high interest rate was highly ranked with a mean score of 1.93 whilst the need for a guarantor was least ranked with a mean score of 7.40. Based on the results, the study recommended that a policy aimed at expanding formal and semi-formal financial institutions credit portfolio to embrace cocoa farmers by finding alternative to collaterals and also reducing the interest rate will improve credit access with a positive externality effect of poverty reduction among cocoa farmers in the study area.
JEL Classification: Q14
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Economic issues of duck production: A case study from Hungary
61-67Views:454The Hungarian waterfowl sector is characterised by export orientation, as 55-57% of the revenue comes from exports, so its importance is high in the national economy. The production of slaughter animals in the duck sector has doubled in the last decade. The objective of the study is to examine production parameters, as well as the cost and profit situation of broiler duck production and to reveal the correlations between the factors with a case study through the example of a Hungarian company. The production parameters and cost data of the investigated farm (2014-2016, 96 production cycles) were analysed using descriptive statistical methods, correlation and regression analysis. The results show that the average cost of the duck produced in intensive, closed farming system was between 72.6 and 101.7 eurocent kg-1. The most significant cost items were feed (52-63%) and chicken cost (14-19%). The sales price decreased from 112.9 eurocent kg-1 to 98.4 eurocent kg-1 during the examined period, resulting in a profit from -3.3 to 25.7 eurocent kg-1, and overall profitability was decreasing. The study also revealed that there was no correlation between average cost and final bodyweight, while the correlation between average cost and reared period was weak. At the same time, the relationship between average cost and average daily weight gain, mortality, feed conversion ratio was moderate. In addition, the European Production Efficiency Factor (EPEF) can be adapted to the duck sector as strong, positive relationship can be scientifically verified between the indicator and average cost. There is a close correlation between the sold live weight per m2 and the amount of feed used per m2, as well as between the final bodyweight and the amount of feed used to rear a duck, while the correlation between average cost and the sold live weight per m2 is weak.
JEL Code: Q13, Q19
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SOCIO‑ECONOMIC DRIVERS AND INSTITUTIONAL CHALLENGES OF TOBACCO CONTRACT FARMING PARTICIPATION IN SVOSVE COMMUNAL AREA, ZIMBABWE
Views:49Tobacco remains Zimbabwe's Leading agricultural export crop, increasingly produced under contract farming arrangements. While contract farming offers inputs, technical assistance and assured markets, concerns persist that benefits are skewed towards merchancts rather than smallholder farmers. This study investigates the determinants of smallholder participation in tobacco contract farming in ward 22, Svosve communal area, Marondera District, Mashonaland East Province. Guided by the New Institutional Economics(NIE) theory, which emphasises the role of institutions in reducing transaction cost under market imperfections, a mixed methods approach was employed. Quantitative data were from 246 communal tobacco farmers using qestionnaires, while qualitative insights were gathered from 10 key informant interviews with agricultural business advisory officers(ABAO), tobacco merchants and farmer leaders. Multistage sampling was used select 5 villages;Mere 1, Mere 2, Mere 3, Neshamba and Bonda. Data were analysed using descriptive statistics and multiple linear regression in SPSS version 25. The statistics revealed that contracted farmers had higher education levels(10 years), larger landholding(mean 2.1 hacters) and greater access to irrigation(65%) than their counterparts. The regression model was statistically significant (F = 24.73, p < 0.001) with a strong explanatory power (R² = 0.68; Adjusted R² = 0.65). Results showed that landholding size (β = 0.62) and years in contract farming (β = 0.45) were the strongest positive predictors of participation, followed by irrigation access (β = 0.38), household income (β = 0.31), and education level (β = 0.29). In contrast, multiple income sources (β = -0.27) and years in general agriculture (β = -0.27) negatively influenced participation, indicating that diversified and highly experienced farmers were less inclined to join contracts. The discussion highlighted that resource endowments and institutional support drive participation, while lack of collateral and financial literacy hinder broader inclusion. The study concludes that contract farming remains a viable pathway for smallholder integration into value chains but requires reforms to ensure equitable benefits. Policy implications emphasize collateral support, farmer training, and resource provision particularly land development and irrigation infrastructure to enhance participation and productivity among smallholder farmers.
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THE PLACE OF AGRICULTURE IN YOUNG PEOPLE'S LIVELIHOOD ASPIRATIONS
Views:56This study examines the dynamics of youth livelihood choices and aspirations in agriculture, focusing on how combined socio-economic, individual, and household characteristics in Bure Zuria Woreda, a rural community in West Gojjam, Northwest Ethiopia, influence youths' future-oriented livelihood decision-making. In the study, we employed a sample survey of 232 randomly selected young farmers, purposively selected 12 focus group discussions (FGD), 12 in-depth interviews (IDI), and 16 key informant interviews (KII). Using both individual and household data, we conducted a multi-stage analysis to understand the impacts of socioeconomic factors on youth livelihood choices. The study used a mixed method to triangulate the qualitative and quantitative analysis, specifically descriptive statistics and a multinomial logistic regression model along with thematic analysis for qualitative data. We contextualize young people in agriculture by exploring how changing access to land, educational levels, gender, the conditions of agriculture, the economic viability of the agricultural sector, and the perceptions of the status of agriculture influence livelihood decision-making. The result shows that youth livelihood choices and aspirations in agriculture are affected by socio-demographic factors at the individual, household, and societal levels. Farming land size, educational level, gender, the conditions of agriculture in the locality, the economic viability of agriculture, and nearby family career preferences were found among the factors that determine the aspirations and livelihood of young people in agriculture. Therefore, targeted interventions are essential to improve youth livelihood options in agriculture.
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The role of mental budgeting in healthy financial behavior: a survey among self-employed entrepreneurs
15-25Views:683Self-employed entrepreneurs (without personnel) manage their business and household finances at the same time. Both domains tend to interact with each other. In this study, it is studied whether and how self-employed entrepreneurs manage their finances. More specifically, the role of mental budgeting and time orientation in healthy financial behavior is studied. Mental budgeting is a way to manage expenses. It entails setting budgets, making reservations on budgets, compensating after too much spending on a budget, and non-fungibility (treating money as earmarked and categorized). It can be expected that self-employed entrepreneurs using mental budgeting strategies behave in a more healthy financial manner. Survey data were collected among self-employed people without personnel in The Netherlands. The survey contained, among others, questions about the company, time orientation, financial management, tax attitude, reported tax compliance, and concern or worry about the future. Questions were factor analyzed using principal component analyses. The resulting scales were used for further analyses. Regression analyses were performed to predict concern or worry about finances, financially restricting to and exceeding budgets, and reporting tax compliance. In this paper, two components of time orientation are distinguished: awareness of consequences and carelessness about the future. From these components, four orientation types of self-employed people were obtained. The orientation type focusing on long-term consequences shows more healthy financial behavior, whereas the orientation type focusing on the present and less on consequences shows less healthy financial behavior. Responsible and healthy financial behavior of self-employed entrepreneurs is related to focusing on long-term consequences, using mental budgeting, and keeping one’s budgets. Aspects of mental budgeting are predicting worry about business finances. Differential effects of mental budgeting were found on restricting one’s budgets, and exceeding budgets, respectively. Of two measures of future circumstances (work disability, pension), only pension measures were predicting worrying about finances. Mental budgeting was not related to tax compliance, except for fungibility. Past tax behavior is predictive of other (past) tax behaviors. Fiscal history measures prove to be correlated with present measures.
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MARKET CONCENTRATION AND DEMAND FOR ALCOHOLIC BEVERAGES IN MAJOR MOTOR PARKS WITHIN IBADAN METROPOLIS, OYO STATE, NIGERIA
Views:418The value addition to alcoholic beverages through packaging in small nylon and increase in the introduction of new brands has led to its high demand and many Nigerians earning their means of livelihood through the sales. The study showed that the average consumption per day was 6.1 sachets per week. The study revealed that 28.6% of the consumers’ monthly income was spent on alcoholic beverages per month. Seaman brand had the highest market share (73.4%); this was followed by Chelsea (66.2%). The study affirmed that 62.9% of the consumers based their choice on high alcoholic content while 3.1% claimed the choice was based on the medicinal (cures pile) value. Also, Captain Jack had the highest market concentration (0.35). The age of respondents, marital status, household size, and the quantity consumed per week were the factors that influenced consumers’ monthly expenditure on alcoholic beverages. It is recommended that efforts should be made by the government to reduce the rate of consumption of alcoholic beverages at the motor parks by enforcing the existing (FRSC Act cap 141 Laws of the Federation of Nigeria) law banning/regulating the sales or increasing tax on the brands to make it out of reach for most consumers.
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Total Quality Management in the food industry – Current situation and potential in Germany
83-87Views:719The requirements in terms of information availability, risk precaution and control in the food industry continue to increase. In this context the interest of companies in the Total Quality Management (TQM) approach is also increasing. This development attracts notice to Business Excellence and connected systems. Similarly, various quality management tools and techniques are available. In this regard a research project analyzed to what extent the companies in the food industry apply different activities of the TQM scheme. The research calculates the importance that the companies attach to different requirements of TQM and how they implement them. Additionally, statistical analysis provides evidence that there is a positive correlation between the implementation of the activities of TQM and the medium- to longterm success of a company. In this article the methodology and major findings of this research project are presented.
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A Quantitative Assessment of the Rurality and an Efficiency Analysis of Emigration in Romania
39-46Views:380In Romania, as in many other Eastern European countries, the early 1990s were marked by a significant emigration from the countryside as a consequence of the transition from a centralised economy to an open one and due to key changes in the political framework. The permanent emigration has predominantly been concentrated in rural areas where multiple socio-economic variables such as GDP per capita, unemployment, and public financial subsidies aimed at supporting people at risk of severe deprivation and poverty have all had a direct effect on rural depopulation. The rurality is a complex theoretical construct comprising many items and variables and is, therefore, difficult to define in a concise manner. The aim of this paper is to assess the evolution of emigration in Romania between 2001 and 2016 through a quantitative approach, estimating an index of rurality for the same period composed of a set of socio-economic variables having a direct or indirect nexus to it. In the first phase of research, a matrix of correlation and a multiple regression model has been used in order to estimate the direct links among all investigated variables. Following the quantitative methodology, in the second phase Partial Least Square Structural Equation Modelling (PLS-SEM) has been used in order to assess the main cause-effect relationships among a few selected endogenous variables and a set of socio-economic items. Furthermore, using a non-parametric Data Envelopment Analysis (DEA) output-oriented model, this research has assessed the efficiency in terms of permanent emigration from Romania estimated as an output to minimise and not as an output to maximise, as investigated by traditional efficiency approaches. In terms of efficiency, financial subsidies allocated by national authorities and the level of per capita Gross Domestic Product have acted directly on the level of emigration. The index of rurality in 2016 has been influenced in particular by he pluriactivity in farms in terms of agritourism, the dimension of farms in terms of land capital endowment, and the level of GDP per capita.
JEL Classification: Q10; Q18
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Empowerment of rural women farmers and food production in Rathnapura district in Sri Lanka: a household level analysis
105-112Views:455Women empowerment and gender equity are two significant aspects of the sustainable development of a country. As Sri Lanka is on the way towards sustainable development, this study was conducted to assess the situation of women farmers’ empowerment and food production in Rathnapura district of the country. A sample of 300 women farmers was randomly selected for the study, from two selected Divisional Secretariat (DS) of Rathnapura district. Data was collected from a field survey using a pre-tested, self-administered questionnaire survey from April to July 2019. Empowerment was analyzed using the empowerment framework used by RAHMAN AND NAOZORE in 2007 in the study of “Women Empowerment through Participation in Aquaculture” with necessary modifications. Data analysis was conducted using descriptive statistics, correlation analysis and multiple linear regression analysis. Results revealed that majority of the women farmers were middle aged, married and had children. Furthermore, most of them had education up to secondary level. While average family size was four, average farm size was 1.25 acres. They had around 16 years of farming experience. The average monthly income of them was 25,000.00 LKR whereas 20% of it was from agriculture. The main sources of empowerment of women farmers were the Agrarian Service Center (55%) followed by village organizations/societies (30%) and microfinance institutions (26%). Furthermore, women empowerment index was 0.65. It is a moderate level of empowerment. However, there were women farmers under three categories of empowerment levels: low empowerment (4.1%), medium empowerment (58.5%) and high empowerment (36.1%). Out of the socio-economic factors; age, education, family size, land size, number of training programs participated, monthly income, experience in agriculture and number of organizations participated, education and number of training programs attended had significant and positive effect for the empowerment. Accessibility of credit facilities and agricultural extension program participation showed that there was a considerable impact on food production rather than the cultivable land size and utilization of modern farming technologies for food production. Therefore, proving of timely important agricultural education and training programs, enhance awareness level of modern farming technology utilization, better micro finance programs and agricultural credit facilities will be able to enhance the empowerment level of the women farmers of this area furthermore.
JEL CODE: Q01, Q12
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INTEGRATING SERVICE VALUE CHAIN GOVERNANCE ON SMALL SUNFLOWER PROCESSING INDUSTRIES IN DODOMA, TANZANIA
Views:239Small-scale sunflower oil processors dominate Tanzania’s sunflower value chain but face persistent performance challenges. This study examines how service value chain governance – defined by factors such as transaction complexity, service characteristics, technological capabilities, market transparency, market structure, and institutional frameworks – influences the capabilities and performance of small sunflower processing industries in Dodoma. Drawing on global value chain and transaction cost economics theories, we hypothesize that high transaction complexity and service intangibility negatively impact processors’ technological and human resource capabilities, while robust technological capacity and market transparency improve logistics and marketing performance. A cross-sectional survey of 275 sunflower oil processors in Dodoma was conducted, and six multiple regression models were used to test each specific hypothesis. Results show that all six governance factors significantly affect the processors’ operational capabilities in the expected directions. High transaction complexity and service heterogeneity are associated with lower technological competency and workforce efficiency, whereas greater technological capability and market transparency yield improved logistical coordination and market access. Fragmented market structures (many small suppliers) correlate with weaker financial performance, and a strong institutional framework is linked to better regulatory compliance. These findings highlight critical governance-related barriers and enablers for small agro-processors. We discuss practical and managerial implications for improving value chain integration – including investing in technology, training, and policy support – and outline theoretical contributions.
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PERCEPTIONS, PROFITABILITY AND DETERMINANTS OF GRANULATED CASSAVA PACKAGING IN KUMASI METROPOLIS, GHANA
Views:523Packaging does not only protect a product but also provides directions for using the product, as well as relevant information about its content and nutritional value. This study was undertaken to assess Granulated Cassava (Gari) sellers’ perception, profitability and determinants of packaging in Ashanti Region. The study area was purposively selected because of the active participation and contribution of marketing activities. A structured questionnaire was administered in the form of interview to obtain primary data from the respondents. Data was generated using binary and multinomial logit regression model and Garret ranking technique. The results showed that there is 0.11% difference in the gross margin of both ventures which is also statistically significant at 1%. Years of education, legal requirement, and durability of the packaging material and cost of packaging material were the significant factors that influence sellers’ choice of packaging. Lack of technical know-how, cost of capital equipment and lack of knowledge on packaging equipment and/or material were the most limiting constraints affecting Gari packaging. The study recommends that investors should invest in the Gari packaging business since it has a relatively higher rate of returns as compared to the unpackaged one.
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