Vol. 20 No. 1 (2026): APSTRACT Current Issue
Full Issue
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Articles
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THE ROLE OF DIGITALIZATION IN SUSTAINABLE AGRICULTURE
Views:0ICT, digital and smart tools are an integral part of a competitive agriculture in the 21st century. The world's population is growing, which also means that demand for food will increase, so there is a need to increase agricultural productivity (increasing output/input factor efficiency), for which technological innovation is essential. An important aspect is that some factors of production in agriculture are limited (land, water, etc.), so a fundamental issue for farmers in agriculture is how to carry out their agricultural activities in a sustainable and cost-effective way. Innovative and modern solutions are needed to increase productivity in agriculture in a sustainable way. Digitalisation, of which data and the information derived from data are an integral part, is the basis for these innovative solutions. Technological progress and digitalisation are making a major contribution to the emergence of sustainable agriculture. The aim of the present study is to briefly describe the development and milestones of agriculture, based on a literature review, and to highlight the importance of agricultural digitisation, especially from the perspective of sustainable agriculture.
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THE PLACE OF AGRICULTURE IN YOUNG PEOPLE'S LIVELIHOOD ASPIRATIONS
Views:0This 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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ASSESSMENT OF FACTORS INFLUENCING THE CONSUMPTION OF LOCAL DRINKS IN RURAL OSUN STATE, NIGERIA: POLICY RECOMMENDATIONS FOR SMALL-SCALE FOOD BUSINESS DEVELOPMENT
Views:0Locally produced drinks play a significant role in the cultural, economic and culinary lives of rural dwellers in Nigeria. However, factors influencing their consumption remain poorly understood. This study investigated these critical factors among local drink consumers in rural areas of Osun State, Nigeria with a view to suggesting policy recommendations for the development of small-scale local food business. It employed a multistage sampling procedure to select 205 respondents. Primary data collected with a structured interview schedule and in-depth interview guide were analysed using descriptive statistics and factor analysis. The study revealed that many (52.1% and 83.0%%) of the respondents were male and married, respectively, mean age was 40±12 years while mean household size was 6 persons. Zobo (100%), palm wine (99.5%), and soymilk (95.6%) were the most available local drinks in the study area. The sensory characteristics (63.45%), production (66.96%), and functional characteristics (74.03%) of the drinks were mostly considered by the consumers. The factors influencing consumption were the characteristics of the drinks, the educational background, and the economic status of the consumers. The study concluded that the identified factors were essential to the development of the local drinks industry and the small-scale food business in the study area. Policy recommendations that could provide a framework for this development were suggested based on the findings of the study.
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SOCIO‑ECONOMIC DRIVERS AND INSTITUTIONAL CHALLENGES OF TOBACCO CONTRACT FARMING PARTICIPATION IN SVOSVE COMMUNAL AREA, ZIMBABWE
Views:0Tobacco 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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DETERMINANTS OF SMALL-SCALE MACADAMIA NUT PRODUCTIVITY IN ZIMBABWE: AN ORDINAL REGRESSION MODEL ANALYSIS
Views:0This 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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CYBER MATURITY AMONG EUROPEAN SMES: A TIME-SERIES AND CLUSTER-BASED ANALYSIS
Views:0medium-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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THE INFLUENCE OF GOVERNANCE ON FOOD LOSS AND WASTE: A TANZANIAN PINEAPPLE VALUE CHAIN PERSPECTIVE
Views:0Food loss and waste remain a substantial challenge in agricultural value chains, particularly in developing countries. This study examines the influence of governance of food loss and waste within the pineapple value chain in Tanzania. Using qualitative methods, data were collected in Dar es Salaam. Geita, Morogoro, and Pwani regions through focus group discussions, interviews, and observations. The study mapped actors and explored the role of governance, power dynamics, and coordination, drawing on resource dependence and institutional theories to explain how actor relationships, power imbalances, and institutional influences shape food loss and waste. Three types of governance structures were revealed- Spot market, captive, and relational structures, affecting food loss differently. In the captive governance structures, pre-finance arrangements lock farmers into selling only to specific traders, often leading to significant on-farm losses when market conditions shift. Spot markets, on the other hand, generate losses when harvested fruits do not meet the informal standards set by buyers, such as size, ripeness, and other physical attributes, due to limited market information. Weak coordination, information asymmetry, and power imbalances among value chain actors contribute to substantial food loss and waste. Main challenges faced by farmers include poor access to markets, financial constraints, and weak bargaining power. Institutional gaps, including weak regulatory frameworks and inadequate support from government and private sector, exacerbate inefficiencies. The study emphasizes that governance plays a central role in shaping food loss and waste. Strengthening farmers' associations, improving market linkages, and addressing institutional gaps are critical for reducing food loss and waste and increasing value chain resilience.
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DISTRESS SALES AS LIVELIHOOD STRATEGY: COMMERCIALIZATION AND THE PERSISTENCE OF POVERTY AMONG WIDOWED FARMERS IN CONFLICT-AFFECTED NIGERIA
Views:0Widowhood is a catastrophic event for women farmers at any stage of their lives, with serious implications for their well-being. We examines the effect of household commercialization on poverty of widowed cowpea farmers in North-east Nigeria. Multistage dsampling procedure was employed which arrived at 525 respondents. The Data were collected using structured questionnaire and analysed using both descriptive and inferential statistic (muliple regression). The result revealed that Household commercialization index (HCI) was 55.44% and 54.19% of the IDPs and host communities respectively. The average progress out of poverty index (PPI) score was lower for IDP farmers (33.55) compared to host community farmers (42.96) with homogeneity in both. Explanatory variables influencing PPI explained 35.30% of its variation, Legume farming experience and value harvest were found to be improving PPI, Household size and IDP status were reducing the PPI. The HCI was explaining 4.7% of Poverty of widowed cowpea farmers, and the HCI had inverse relationship with poverty. All in all, widowed cowpea farmers’ household commercialization increases poverty by 0.126, with heterogeneity among households with higher legume farming experience, lower household sizes, IDPs host communities and higher value of cowpea which experienced less poverty in the study area. Strengthening cooperative development, promoting value addition of cowpea products, expanding access to financial services and targeted support for widowed farmers is hence recommended.
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DETERMINANTS OF UTILIZATION AND OPTIMUM USE OF FARMER FIELD BUSINESS SCHOOL RECOMMENDATIONS AMONG MAIZE FARMERS IN NORTH WEST NIGERIA
Views:0This 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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ARE AGRICULTURAL EXTENSION SERVICES ACCESSIBLE TO GHANAIAN FARMERS? PROBABILITIES AND EXPECTATIONS FROM CORNER SOLUTION RESPONSES
Views:0Agricultural extension services play a vital role in Ghana’s vegetable sector modernization and growth agenda. The Government of Ghana has made efforts to enhance extension delivery by improving the Agricultural Extension Agent (AEA)-farmer ratio from 1:1,906 in 2016 to 1:709 in 2020. However, access to extension services remains limited, raising concerns about their reach and effectiveness. This study examines the socio-economic factors influencing farmers’ access to extension services in Ghana, focusing on the role of credit, farmer-based organizations (FBOs), and experience. Specifically, it analyzes the determinants of access using the Tobit model to predict probabilities and expectations associated with corner solution responses. Cross-sectional data were collected from 400 vegetable farmers across selected regions of Ghana. Findings revealed that, on average, a randomly selected vegetable farmer had about a 33% probability of accessing extension services. Key socio-economic factors influencing access included credit availability, FBO membership, household size, and farming experience. The study recommends strengthening and expanding FBOs to improve access, enhancing collaboration between government and financial institutions to facilitate credit, and providing adequate logistical and operational support to district extension directorates to ensure timely and effective service delivery across Ghana.
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DECODING THE BLOCKCHAIN PRODUCTIVITY PARADOX IN SMES: A QUALITATIVE INVESTIGATION OF COGNITIVE BARRIERS AND INSTITUTIONAL PRESSURES
Views:0While blockchain technology (BCT) has emerged as a disruptive force capable of redefining trust and transparency in global supply chains, its adoption among Small and Medium-sized Enterprises (SMEs) remains critically low, resulting in a severe digital productivity paradox. Existing literature predominantly attributes this technological lag to financial constraints and complex technical requirements. This study challenges the traditional cost-centric paradigm by exploring the underlying cognitive, organizational, and institutional factors driving SME decision-making. Utilizing a qualitative, exploratory research design, 22 semi-structured in-depth interviews were conducted with strategic decision-makers across five SME sectors in Hungary. The theoretical framework synthesized the Technology Acceptance Model (TAM), the Unified Theory of Acceptance and Use of Technology (UTAUT), and Institutional Theory. An innovative "negative proof" thought experiment—assuming 100% external funding—was applied to rigorously isolate cognitive barriers from financial constraints. The findings reveal that the primary barrier to adoption is a fundamental cognitive gap: the lack of technological awareness, profound fears regarding transparency (e.g., GDPR conflicts, trade secrets), and exceptionally low perceived business usefulness. Furthermore, SME innovation strategies regarding decentralized networks are structurally reactive. Adoption intentions are almost exclusively driven by coercive institutional isomorphism—specifically, the mandates of dominant multinational partners and regulatory compliance—rather than internal innovativeness. These insights emphasize that BCT must be treated as a socio-technical system, necessitating proactive mentoring from large corporate integrators and targeted regulatory frameworks to bridge the technological divide.
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INFORMATION AND COMMUNICATION TECHNOLOGIES’ USE EXPERTISE AND THE UTILISATION BY FRUIT VEGETABLE FARMERS IN NIGERIA
Views:0Information and Communication Technologies (ICTs) represent veritable tools for developing farmers’ capabilities in production resource optimisation. The study assessed fruit and vegetable farmers’ expertise and utilisation of ICT for cucumber and watermelon production. Members of the Osun State Exotic Fruit Farmers’ Group were randomly sampled (90 of 102 farmers) for the study. Data were collected using an interview schedule and analysed using descriptive statistics and multivariate regression analysis. Results reveal the farmers’ mean age was 43.8±10.33 years, and two-thirds (66.67%) were male. Low proportions (19.2% and 14.81%) were good and excellent in ICT use expertise, while many (42.96%) were poor. Some (18.89%) explored social media for linking high-value markets, and 16.67% searched online pages or links in learning about artificial pollination. Farmers’ ICT use expertise and extent of utilisation for cucumber and watermelon production purposes were significantly influenced by their familiarity with ICT tools (b = 1.29 and 1.47) and years of ICT use experience (b = 0.09 and 0.16), respectively, at p≤0.05 significance level. Experience and familiarity with ICT usage spurred farmers to greater proficiency and consequent increased utilisation to optimise cucumber and watermelon production. Specialised ICT training should be prioritised for farmers’ capacity building in intervention programmes
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THE ECONOMIC STRUCTURAL IMPACTS OF THE INDUSTRIALIZATION WAVE IN DEBRECEN
Views:0Over the past decade, an intensive industrialization process has unfolded in Debrecen, driven primarily by foreign direct investment (FDI). Large-scale industrial investments—particularly projects in the automotive and battery industries—are fundamentally transforming the city’s economic structure. The aim of the research is to examine how new industrial investments are altering Debrecen’s manufacturing structure, as well as to what extent the emerging industrial structure differs from the previous economic structure. The empirical basis of the study is the manufacturing production database of the Central Statistical Office, as well as land-use data from companies operating in or relocating to Debrecen’s two main industrial zones (the Southern Economic Zone and the Northwestern Economic Zone). During the research, I applied several empirical methods: the Herfindahl–Hirschman concentration index, shift–share analysis, and finally, the Location Quotient assessment. The results show that the new wave of industrialization is leading to significant industrial concentration. More than ninety percent of the manufacturing area in the industrial zones examined is linked to two industries—vehicle manufacturing and electrical equipment manufacturing. The significant increase in concentration indices indicates that Debrecen’s economy is shifting toward a specialized industrial model. This process holds significant potential for economic growth, but it also increases the risk of economic vulnerability.
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