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CYBER MATURITY AMONG EUROPEAN SMES: A TIME-SERIES AND CLUSTER-BASED ANALYSIS
Views:91medium-sized enterprises (SMEs) between 2015 and 2025, with particular focus on trends in cyber threat exposure, defensive investment patterns, and the regulatory impact of the NIS2 Directive. Given the limited availability of long-term firm-level microdata, the research combines aggregated EU-level time-series data (Eurostat, ENISA, IBM) with a calibrated synthetic SME dataset (N = 100) to model maturity dynamics. Time-series forecasting was conducted using Prophet models to analyze the development of incident frequency (INCID_FREQ) and cybersecurity investment intensity (SPEND_RATIO), treating NIS2 as an exogenous regulatory shock. In parallel, K-Means clustering was applied across three maturity dimensions (investment ratio, NIS2 compliance level, and incident response time) to identify distinct cybersecurity profiles. The results indicate that cyber threat exposure has increased at a faster pace than defensive expenditures, particularly between 2015 and 2020. While the anticipated NIS2 effect in 2025 generates a measurable surge in security spending, it does not ensure long-term convergence between risk growth and investment intensity. The cluster analysis identifies three maturity groups (Ad-hoc, Managed, and Optimized) corresponding to consolidated CMMI and NIST-CSF levels. These findings suggest that regulatory pressure can accelerate short-term adaptation, but sustainable cybersecurity maturity among SMEs requires structural capability development, governance improvements, and strategic investment alignment
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Investment analysis of a piglet producer farm – a Hungarian case study
141-152Views:698The pig population in Hungary was about 8 million in 1990, while this number dropped to only 2.8 million by 2018. The previously so successful integrated domestic pig farming has almost completely disappeared and most of the smaller farms still operating in the 1990s are no longer functioning. At present, a process of concentration can be observed, which was accompanied by the further specialization of pig farming. The main profile of most pig farms is fattening, but there is a smaller number of farms in Hungary today specialized for piglet production, the successful operation of which requires significantly more expertise and more complex technology.
The main aim of this study is to present the production and economic indicators of a pig farm specialized in piglet production in Hungary as a result of a greenfield investment in the current economic environment, on a case study basis. For this purpose, an economic simulation was prepared based on primary data collection, operating on a deterministic basis, modelling the production and economic processes of the farm. The performed calculation does not derive the economic indicators of the activity from accounting records, but assigns the prices of natural inputs used on the basis of technological data. Primary data and information collection (e.g. technological data, input and output prices, unit cost items, etc.) took place between 2018-2019.
At the purchase prices of pigs in the last two years, which have increased significantly due to the African Swine Fever (ASF), the majority of pig farms in Hungary have an outstanding profit-making capacity. The physical efficiency indicators of the analysed pig farm are almost identical to the average data of such farms in the Netherlands, which has one of the most developed pig industry. The income of the examined pig farm at farm level is about 734 thousand EUR, i.e. 232 EUR per sow. Moreover, this activity is profitable even without subsidies. As a result, the greenfield investment pays off in the 8th year by default (average scenario). The investment has a Net Present Value (NPVr=3%) of EUR 2,609 thousand for 10 years, an Internal Rate of Return of 8.5%, and a Profitability Index (PIr=3%) of 1.3. At the same time, risk factors such as sales prices, output and capacity utilization, and feed costs should be taken into consideration as in extreme cases the return on investment may be unfavourable (pessimistic scenario).
JEL code: D24, M11, Q12
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THE EFFECT OF FARMER BUSINESS SCHOOL ON HOUSEHOLD WELFARE: EVIDENCE FROM COCOA FARMERS IN ATWIMA NWABIAGYA NORTH DISTRICT, GHANA
Views:446Farmer 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:841Food 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:316Within 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:256The 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:821Nowadays, 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:301In 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:473This 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:362The 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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Comparing ols and rank-based estimation techniques for production analysis: An application to Ghanaian maize farms.
125-130Views:402This 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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DETERMINANTS OF SMALL-SCALE MACADAMIA NUT PRODUCTIVITY IN ZIMBABWE: AN ORDINAL REGRESSION MODEL ANALYSIS
Views:109This 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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Analysis of time management and self-management work practice by leaders – a focus group study
133-140Views:996Nowadays 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:361The 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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HOUSEHOLDS’ FOOD CONSUMPTION BEHAVIOUR DURING COVID-19 PANDEMIC: EVIDENCE FROM RURAL HOUSEHOLDS IN SOUTH AFRICA
Views:419The 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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Measuring technical, economic and allocative efficiency of maize production in subsistence farming: evidence from the central rift valley of Ethiopia
63-73Views:842This study measured the technical, allocative and economic efficiencies of maize production in the central rift valley of Ethiopia using cross sectional data collected from randomly selected 138 sample households. The estimated result showed that the mean technical, allocative and economic efficiencies were 84.87%, 37.47% and 31.62% respectively. Among factors hypothesized to determine the level of efficiency scores, education was found to determine allocative and economic efficiencies of farmers positively while the frequency of extension contact had a positive relationship with technical efficiency and it was negatively related to both allocative and economic efficiencies. Credit was also found to influence technical and economic efficiencies positively and distance to market affected technical efficiency negatively. The model output also indicated that soil fertility was among significant variables in determining technical efficiency in the study area. The result indicated that there is a room to increase the efficiency of maize producers in the study area.
JEL Classifications: C67, D24, D61, L23, Q12, Q18
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An Agro-Food Waste Commercial Utilisation Behaviour Lens among Urban Agro-producer Households in a Developing Economy
Views:372Small-urban farm businesses utilise agro-food waste emanating from own production and other levels of food supply chain activities to supplement conventional inputs. Out of these, the food produce surplus from agro-producer households is offloaded to the urban market. As such, the aim of the study was to assess the determinants of agro-food waste commercial utilisation behaviour among urban agro-producer households. An electronically-designed research tool was administered to 456 agro-producer households to collect self-reported estimates of their agro-food waste utilisation behaviour. Results indicated higher budget share towards conventional inputs (0.73) compared to agro-food waste (0.27) but the observed suboptimal production intensification could be rectified with increased use of agro-food waste. Structural equation modelling results indicated that attitude, environmental awareness and concern, motivation and perceived moral obligation had positive significant influence on commercial utilisation intention. The adopted constructs for the model could explain 79.1% of the commercial utilisation behaviour variance. Furthermore, commercial utilisation intention, risk perceptions and perceived behavioural control had significant influence on the commercial utilisation behaviour. Findings are an indicator that agro-food waste commercial utilisation intentions among small-urban farm businesses would likely transition to commercial utilisation behaviour. Since behaviour can be learnt and developed, aspects that contribute to commercial utilisation intentions and behaviour would need to be stimulated. As a strategy of reducing the collectible waste, urban authorities may introduce tailor-made programs meant to stimulate commercial utilisation intention and behaviour in small-urban farm businesses. In valuation of agro-food waste, methodologies that could factor in utility would provide more precise insights in its commercial utilisation.
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Strategy for soil protection in cross-border region of Hungary and Romania
135-137Views:311Within 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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OPTIMISING PUBLIC HEALTH OPEX: A CONCEPTUAL SYSTEMATIC REVIEW OF HEALTH SECTOR AND RURAL DEVELOPMENT STAKEHOLDER MANAGEMENT IN KENYA
Views:451The African Health ecosystem is yet to optimize multi-stakeholder collaborative efforts for desired outcomes in health-care interventions. Despite heavily relying on multiple sectors and developing progressive engagement frameworks, challenges in harnessing diverse stakeholder contributions to meet evolving health-care priorities persist within the sector. This situation exacerbates the challenge of health disparities, especially regarding regional and rural development. We seek to focus on Reversing the Hierarchical Overview of Public Health Stakeholders in Kenya by redesigning it to fit - a community and related stakeholders-centred Approach. We used the Conceptual Systematic Review to conceptualize the complexity of stakeholders’ ecosystem coordination. We use peer-reviewed literature and reports covering the stakeholders in public health. We coded the literature findings following the CSR stages. The study develops a proposed ecosystem map of stakeholders that incorporates suggested changes for improved local stakeholders’ coordination and local ownership of health investment activities in Kenya. The structuring and layering of the stakeholders will be informed by the tenets of the stakeholder salience model, thus advancing theoretical discourse in the area.
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A note on the Dutch disease
34-38Views:472Many resource rich countries are poor, where many resource poor countries are rich. One of the possible explanations of this paradox called the ‘resource curse’ is the Dutch Disease. This paper aims to analyse this phenomenon with the help of a simple macroeconomic trade model. It presents a number of Dutch Disease Cases of which the ‘Norwegian Case’ provides an example containing an effective policy against the negative impact of Dutch Disease on the national economy.
JEL Classification: O11, O24, Q33
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