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THE EFFECT OF FARMER BUSINESS SCHOOL ON HOUSEHOLD WELFARE: EVIDENCE FROM COCOA FARMERS IN ATWIMA NWABIAGYA NORTH DISTRICT, GHANA
Views:375Farmer Business School (FBS) is an educational programme aimed at improving the knowledge and skills of farmers in various aspects of agriculture, including financial management and marketing. The purpose of the paper is to examine the effect of FBS on household welfare among cocoa producers in the Atwima Nwabiagya North District of Ghana. Data was collected from a sample of 330 cocoa farmers, 200 of which participated in the FBS programme and 103 who did not. The study employed a range of statistical techniques to investigate the effect of FBS on cocoa growers, thus, independent samples t-test, binary probit model, Kendall's Coefficient of Concordance and perception index. The results of the study suggest that involvement in the FBS programme has a positive significant influence on household welfare. Cocoa farmers who participated in the programme experienced a significant increase in income and yield, as well as improved overall well-being against those who didn't take part. The research's findings offer evidence that FBS programmes can play a vital role in enhancing the welfare of farmers, particularly in developing nations where agricultural livelihoods play a crucial role in economic growth and poverty reduction. The study highlights the importance of investing in education and training programmes for farmers to improve their skills, knowledge, and overall well-being.
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Consumers’ Awareness, Perception and Interest in Labelling of Processed Foods in Ghana: A Case of ‘Sobolo’
Views:750Food labels contain much information that helps consumers to make decisions based on the details which are of much importance to them. The study assessed awareness, perception and factors that influence consumers’ interest in labelling of sobolo in the Kumasi Metropolis of Ashanti region, Ghana. Systematic random sampling was used to select 300 respondents from five randomly selected sub-metros and data were collected using a semi structured questionnaire. Descriptive statistics such as frequencies, tables and percentages were used to summarize the socio-economic characteristics of respondents. Perception index was used to assess the perception statements on the product labelling and the Logistic Regression Model was used to analyze the factors that significantly influence consumers’ interest in labelling of sobolo. Results of the study showed that majority (97.3%) of respondents were not aware of labelled sobolo but 67% was interested, though with low awareness. The estimated perception index (2.8) showed that consumers had positive perception about labelling of sobolo. Among the socio-economic characteristics; age, education, household income and household size and respondents’ perception on health and safety aspects of sobolo were found to significantly influence interest in labelling of sobolo. In conclusion, the study found that, consumers would prefer different information on labels and thus their interests are significantly influenced by different factors. It is recommended that efforts should be made to promote the awareness, education and interest in labelling of food products to enhance production, consumption and sustainability of the food industry.
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Strategy for soil protection in cross-border region of Hungary and Romania
173-175Views:290Within the Hungary-Romania Cross-Border Co-operation Programme for 2007-2013 the University of Debrecen and the University of Oradea is to elaborate a soil strategy for the Nyírség and Bihor Mts region.Project partners expect the strategy will support and strenghten national, regional and local soil policies and contribute to the competitiveness of the region by protecting and developing various soil functions.Project partners also expect to prevent cross-border problems with soil and reduce the competition caused by cost differences.The elaboration of the strategy includes the problems of erosion, deflation, compaction, water-deficiency, inland water-threat, problems induced by the usage of fertilizers, loss and substitution of soil organic matter, amelioration (bentonite, sewage sludge, fermented biogas). Based on summarised data of former examinations and new experiments a concise database will make it possible to calculate and apply the Sustainability Index Model, which may be useful in order to address EU supports properly based on objective calculations,and may be useful to determine the optimal culture. The project also encourages the farmers to keep in mind the cross-compliance, since EU gives financial support to realise sustainable soil strategy based on EU directives. This may enhance the options to initiate the take off of rural areas with shrinking export facilities, to mitigate social tensions and the effect of migration processes.
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AGRIPRENEURSHIP AND WOMEN EMPOWERMENT IN CONFLICT-AFFECTED RURAL NIGERIA: DEVELOPMENT AND VALIDATION OF THE RURAL WOMEN AGRIPRENEURSHIP EMPOWERMENT INDEX (RWAEI)
Views:108The Rural Women Agripreneurship Empowerment Index (RWAEI), a multifaceted instrument for assessing the empowerment results of agripreneurial engagement among rural women in Northeastern Nigerian regions affected by conflict, is introduced in this study. The study examines how access to mechanization, farm production, hired labor, and market engagement contribute to long-term economic inclusion, decision-making authority, and community leadership in addition to job creation. It is framed within Sen's Capability Approach and Gendered Institutions Theory. The study uses confirmatory factor analysis (CFA), mediation analysis, and structural equation modeling (SEM) to validate the empowerment pathways and build the RWAEI model using data from 1,146 rural women in Gombe, Bauchi, and Adamawa. The findings show that the relationship between agripreneurship and empowerment is significantly mediated by labor employment and machine access.The index provides a context-specific metric for evaluating the agency and resilience of rural women, with a Cronbach's alpha of 0.812. The results back up the combination of focused capacity-building initiatives and gender-sensitive agricultural policies to increase the effect of agribusiness. By shifting from output-based models to capability-focused empowerment assessment, the study advances the conversation around agripreneurship and has wide ranging implications for poverty alleviation, post-conflict recovery, and the implementation of the Sustainable Development Goals (SDGs).
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Evaluation of crop and irrigation water requirements for some selected crops in Apulia region -Southern Italy
39-50Views:735Nowadays, nearly 90% of global water consumption is caused by irrigation activities, and more than 40% of the crops are produced under irrigated conditions. This study is an endeavour to estimate the irrigation water requirement (IWR) and crop water requirement (CWR) for some selected crops (Pepper, Eggplant, Potato, Soybean, Maize, Wheat Melon, Lettuce, Sunflower, Broadbean, Citrus, Cherry, Olive tree, Sugarbeet, Artichoke, Wine Grapes, Carrot...etc.) in Sothern Italy. The selected districts (Sant’ Arcangelo) have been taken as a case study area. Demanded meteorologically (rainfall, temperature, humidity, wind speed, sunshine hours) and crop data (crop coefficient and crop calendar) have been collected for 30 years period from 1981 to 2011. FAO CROPWATv8.0 software has been applied for requisite calculation of CWR and IWR along with the developing of cropping patterns. The FAO Penman-Monteith equation is used for estimating the reference evapotranspiration (ET0) by using meteorological data in the framework of CROPWAT model as it regarded as a good evaluator for a wide variety of climatic conditions. The analysis indicates that FAO Penman-Monteith suits very well for the study area and can be successfully used for the estimation of reference evapotranspiration. The important results in this study indicate that the IWR is very low from November to April (wintertime) due to higher rainfall intensity in these months and from month May to October a considerable amount of water is required for irrigation.
JEL Classification: Q25, Q24,Q10
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Using sustainable development tools for solving property rights in Montenegro
127-131Views:263In recent months Montenegro has been faced with serious budget problems , one proposed solution of which has been to reduce the number of employees in state administration. Additionally, the costs of living are above the disposable budget of most households, in particular the high cost of electricity. While the government warns about a lack of electricity, the citizens are hardly in the position to cover these costs. Montenegro is dealing with the double challenge of inefficient use of space (the country features over 100,000 illegal homes)(I don’t understand the link between inefficient use of space and illegal homes) and inefficient energy use (Montenegro needs an average of 8.5 times more energy per unit produced than an average EU country). How can these problems be solved in a way which pleases both sides? In this paper, an approach is presented which links the solving of the problem of illegal construction with increasing the level of energy efficiency in households, businesses and other facilities. There is a model developed by UNDP Montenegro – an integrated policy solution to the double challenge of providing energy efficiency measures to incentivise households to legalise their homes. The legalisation of illegal buildings by the introduction of mandatory energy efficiency measures in them may at the same time result in an increase of revenue to the central and local budgets, the reduction of negative impacts on the environment, an increase in employment, the engagement of the economy, a reduction of electricity consumption and thereby to reduce the need to import electricity, and ultimately the increased welfare of the population.
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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:404This 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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The use of models in optimizing the field crop production in agricultural enterprise - MBA thesis
93-96Views:332The full use of resource capacities of agricultural enterprises favorably affects the general increase in economic efficiency and rational production making them more competitive in the market. This creates the need for constant improvement of business strategies that uses all available resources to create the most profitable production. The main objective of this study was to find the ideal structure of production in agricultural enterprise and to enable the realization of maximum profit using the available production resources (land, mechanization, labor forces). As the basic method of planning, this study used the simplex method of linear programming which gives the most profitable sowing structure after detailed analysis of resources and achieved results, based on the limitations and gross margin. This work showed that the use of modern methods in production planning is one of the cheapest and safest methods for development of agricultural enterprises.
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Analysis of time management and self-management work practice by leaders – a focus group study
133-140Views:938Nowadays excellent leadership is one of the foundations of high organizational performance. Leadership excellence is a complex topic but efficiency and effectiveness are important components of it. These are closely linked to self-management and time management. In our focus group research, we asked senior executives about how they organize their average workday. We used two theoretical models: the Blue Ocean model and the Franklin Covey time-matrix. According to the participants the key component of effective self-management is the time management. In their leadership practice they often use a digital task manager, a workshop, an informal meeting as a tool and they find knowledge sharing also very important. They try to approach their employees empathetically. They would like to reduce the administrative tasks, spend less time on correspondence, travel and “small talks”. They would like to spend more time on automation and communication, further training and team work and dealing with the employees. They think that strategic planning, market analysis, sales, knowledge development and transfer should require more planning.
JEL code: M12
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The political economy of agri-environmental measures: An empirical assessment at the eu regional level
71-82Views:321The paper deals with the political and economic determinants of EU agri-environmental measures (AEMs) applied by 59 regional/country units, during the 2001-2004 period. Five different groups of determinants, spanning from positive and negative externalities, to political institutions, are highlighted and tested using an econometric model. Main results show that AEMs implementation is mostly affected by the strength of the farm lobby, and the demand for positive externalities. At the same time it emerges a prominent role played by political institutions. On the contrary, AEMs do not seem implemented by the willingness to address negative externalities.
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Comparing ols and rank-based estimation techniques for production analysis: An application to Ghanaian maize farms.
125-130Views:334This 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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HOUSEHOLDS’ FOOD CONSUMPTION BEHAVIOUR DURING COVID-19 PANDEMIC: EVIDENCE FROM RURAL HOUSEHOLDS IN SOUTH AFRICA
Views:368The food consumption behaviour of households has been affected by the lockdown restrictions that were implemented to reduce the COVID-19 infection rate. This study was aimed at analysing the food consumption behaviour of rural households during the COVID-19 pandemic in South Africa. To achieve this, a simple random technique was used to collect data from 120 in Merry Pebble (MP) Stream Village. Thereafter, an Ordered Probit Model was used to examine the extent to which households have increased, decreased or maintained the same quantity of food consumed during COVID-19. The results indicated that 46.7% of the rural households had consumed less food during COVID-19 pandemic, 32.5% consumed about the same amount of food, and 20.8% consumed more food. The variables that contributed towards a decrease in food consumption are employment status, household size, loss of income, and social relief grants. On the contrary, bulk buying and food parcels had stabilised food consumption, while the number of employed people in a household and food bought from restaurants contributed towards an increase in food consumption during COVID-19 pandemic. With regard to consumption behaviour per food item, fresh produce, meat, snacks and fast food were consumed less during COVID-19, while there was a constant consumption in dairy products, and an increase in consumption of canned food, frozen food, prepared food, grains and water. The study recommends that the government should continue with the economic and social relief programmes that were created during COVID-19, as they play an important role in increasing and stabilising food consumption by rural households.
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