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Purpose – The purpose of this paper is to describe the practice of inequality in access to fish resources that occurred in Kuala Langsa. In sociology, ownership of the means of production have strong linkages with economic productivity. The problems that arise in Kuala Langsa is the existence of gaps in the ownership of the means of production, thus giving birth to the practice of inequality in the production arena of fishermen. On the other hand, the efforts of government intervention through the help of the means of production lead to internal conflict among the community of fishermen in Kuala Langsa.

Methodology Approach – This article uses the sociology paradigm in looking at economic development efforts through the help of production equipment for fishermen in Kuala Langsa. Data was collected through interviews with qualified local fishermen communities and city governments. The observations were made to see in practice the use of production equipment such as ships, where fish auctions were held, and fuel aboard.

Finding – This article concludes that the practice of fishery production is divided into two types: first, fisherman workers who depend on the production of production tools owned by investors; second, traditional fishermen who depend on production from government aid equipment.

Research Implications – The authors argue that these two production practices have led to the practice of inequality in access to fishermen production in Kuala Langsa. In the first case, the means of production is controlled by the investors so that the fishermen of the workers experience marginalization of access to fish resources. In the second case, government aid production programs also resulted in the internal conflicts of traditional fishing groups in terms of control of production equipment.

Originality/Value – This article contributes to the concept of economic development of the fishing communities in Aceh.

The purpose of this study is to examine the impact of access to credit on technical efficiency (TE) of maize farmers in a developing country, Ghana.

The study employed an instrumental variable approach and the stochastic frontier analysis (SFA) method for the estimation of the results.

The study found that farmers who have access to agricultural credit stand the chance of increasing TE by a margin of 8%, which also influences the maize production than those who did not have access to credit. The average TE score of the farmers was 74%. The study also found out that factors like membership, gender, farmers' access to credit, age and social network determine farmers' possibility of accessing agricultural credit. The study finds out that returns to size are increasing among the maize farmers and that significant improvement in efficiency can be realized by increasing the level of input used in production. Also, factors such as farm size, labor, seeds and fertilizer are the essential determinants of maize production output. Also, gender, extension, age, off-farm income, access to credit and membership were significant factors influencing technical inefficiency (TI).

The paper contributes to the existing literature on agricultural credit on rural agricultural development. The problem of endogeneity associated with access to credit, which has been considered by other researchers, is dealt with this study. This paper also provides information to government policymakers, practitioners and all other stakeholders in the maize sub-sectors and also will benefit small farmers outside the study area.

The purpose of this paper is to compare technical efficiency and metatechnology ratios (MTR) in three production systems confronted with different technological and resource endowments in Bangladesh to identify the suitable production systems for increasing productivity.

The primary data collected by authors from 180 dairy farmers were sampled and modeled in a stochastic metafrontier framework due to its ability to estimate and compare the efficiency of firms among various groups with possibly different group-specific technologies and heterogeneous production environments.

The empirical results show that farms from intensive system were closer to their production frontier than extensive and traditional system. Regarding productivity differences among systems, the MTR is by far highest for intensive, indicating the technological advantage of this system over others two systems. The estimation of farm-specific inefficiency model revealed that farmers’ access to extension and credit services are assumed to be significant determinants in reducing inefficiency.

This study concludes that the ability of the farmers to increase productivity vary depending on the production systems due to variation in resource endowments and access to various inputs and support services. Thus, improving productivity depends on effective policy design on harmonizing access to resources and delivery of extension and credit services.

The empirical analysis of data representing different production endowments by stochastic metafrontier make it possible to identify the efficiency level as well as technology gap, thus, ways to identify the possible policy options reducing those gaps and improving productivity.

The purpose of this study is to estimate the profitability of rice production for irrigated and rain-fed farmers; determine the factors that influence farmers' decision to participate in irrigation and the impact of irrigation on rice farmers' profitability in northern Ghana.

Using cross-sectional data collected from 543 rice farmers in northern Ghana, the study employed both non-parametric (cost benefit analysis) and parametric (endogenous switching regression) approaches to analyse the data.

The empirical results reveal a significant difference between the profits of irrigated (GHS 2442.30) and rain-fed farmers (GHS 576.20), as well as the cost-benefit ratios between irrigators (2.53) and rain-fed farmers (1.37). Also, participation in irrigation was found to be influenced by relatively small farm size and off-farm income; while profitability was influenced by membership in a farmer-based organization, access to agricultural extension services and perception of decreasing rainfall intensity. Irrigation also had a positive significant net impact on profitability of rice production.

The results provide justification for development partners and the government of Ghana through the “one-village-one-dam” policy, to invest in irrigation in northern Ghana in order to improve household welfare as well as build resilience for sustainable production systems.

This study is the first of its kind to provide a robust analysis of the difference in profits of rain-fed and irrigated rice farmers while estimating the determinants of Ghanaian farmers' choice of either of the regimes within a bias-corrected framework.

The purpose of this paper is to define supply chain information utilisation and explore how its antecedents impact shared information utilisation in information receiver’s planning processes.

The analysis is based on a literature review and exploratory case study of three supplier dyads of original equipment manufacturers. This study presents a four-phase model of supply chain information utilisation, and identifies how information sharing, information quality, and intended information usage are antecedents of actual usage of information shared in supply chains. In the dyads, 35 potential information utilisation situations are analysed.

Inter- and intra-organisational factors are antecedents of information utilisation, by their effects on the four phases of utilisation. Composite information sharing, social network governance, human process involvement, and formal planning processes are important antecedents, which are not much emphasised in the literature.

The study focusses on routinised sharing of formal demand-related planning information in supply chain dyads. The analysis is based on three case dyads which are chosen to be complementary in several respects, and where there is access to rich data.

Understanding phases and antecedents could support managers in developing information sharing strategies.

The literature does not explicitly consider information utilisation, or related antecedents or effects. However, by defining information utilisation and proposing a multi-phase utilisation model, this study can explain the performance effect of information sharing. In addition, the composite information variable is defined. This is the first attempt to conceptualise and explore antecedents of information utilisation in supply chains.

The purpose of this study was to examine socio-demographic factors influencing the use of mobile phones in accessing rice information on climate change adaptation by rain-fed farmers in Tanzania with reference to Morogoro region.

A cross-sectional research design was used to collect data from 400 randomly selected rain-fed rice farmers owning mobile phones. Semi-structured questionnaires were used for data collection in eight selected wards in two districts of Kilombero and Kilosa districts in Morogoro Region, Tanzania.

The findings of the study showed that the use of mobile phones to access rice information on climate change adaptation was statistically significantly influenced by respondents’ sex, age, education level, marital status, farm size, farming experience, radio ownership and off-farm incomes. Furthermore, the use of mobile phones in accessing rice information on climate change adaptation among the study districts was not statistically significant.

This paper provides practical recommendations on how to improve accessibility of rice information through mobile phones on climate change adaptation. Implementation of information delivery system to farmers using mobile phones without ascertaining farmers’ socio-demographic characteristics leads to resource underutilization.

The paper provides appropriate knowledge that is needed in improving access to information through mobile phones by Tanzanian farmers and in other communities in developing countries with the aid of the additional theoretical moderators of unified theory of acceptance and use of technology as the research findings suggest. Moderators’ variables have high influence on farmers’ use of mobile phones on accessing rice information on climate change adaptation.

The purpose of this paper is to examine the impact of agricultural credit on technical efficiency of Ghanaian maize farmers using a unique dataset drawn from the database of Sub-Saharan Africa’s intensification of food crops agriculture (Afrint II) in 2008 period.

In this study, a two-stage estimation procedure is employed to determine impact of agricultural credit on technical efficiency of Ghanaian maize farmers. The first stage utilized probit model while the second stage utilized stochastic frontier approach to estimate impact of credit on technical efficiency of Ghanaian maize farmers.

The study found that farmers are producing below the frontier with average technical efficiency of 47 percent. Policy variables such as credit access; education, extension access and farm size played a stronger role in technical efficiency. Agricultural credit in particular increased technical efficiency by 3.8 percent.

The results should not be extended to the impact of agricultural credit on economic efficiency since the allocative efficiency component is not considered in this study. Also, caution should be taken in the interpretation of these results because the data could not permit the incorporation of all variables that might affect technical efficiency.

The originality of the paper and its contribution to existing literature largely lies from the use of a unique dataset to find evidence of the impact of credit on efficiency in Ghana.

This study examined the impact of the Input Credit Scheme (ICS) by the Integrated Water Management and Agriculture Development (IWAD) on the productivity and food security of smallholder rice farmers in Ghana.

Cross-sectional data from 250 rice farming households in the Mamprugu Moagduri district of the North East Region obtained from a multi-stage sampling technique were used for the study. Inverse Probability Weighted Regression Adjustment (IPWRA), Propensity Score Matching (PSM) and Kendall's coefficient of concordance were the methods of analysis employed.

Empirical results show that education, rice farming experience, dependency ratio, FBO membership, farm size and farm age were the significant factors influencing participation in the input credit scheme (ICS). Also, participants had an average rice productivity of 1,476.83 kg/ha, whereas non-participants had 1,131.81 kg/ha implying that participants increased their productivity by about 30%. In addition, the study revealed that participant households increased their household dietary diversity (HDDS) by 0.45 points amounting to about 8% diversity in their diets. High-interest rates associated with credit received, the short periods of credit repayment and the high cost of inputs provided under the scheme were the most challenging constraints associated with partaking in the ICS.

The available literature on agricultural interventions have predominantly emphasized input credit as a key factor for improving cropt productivity and food security of smallholders. This study provides compelling evidence that participation in ICSs can result in substantial benefits for agricultural development, as evidenced by increased productivity leading to improved food security. The significance of these findings is highlighted by the fact that, through participation in input credit schemes, smallholder rice farmers in many developing countries see substantial improvement in their capacity to access productive resources, thereby improving their productivity, while simultaneously reducing food insecurity.

Leveraging on the improved productivity of participants in the ICS, this study advocates that such input credit schemes should scale up to more food-insecure farming communities in Ghana.

The study uses a doubly robust econometric approach to evaluate the impact of ICS on smallholder rice farmers' productivity and food security in Ghana, making it the first of its kind. The findings offer a solid basis for future research and provide guidance for policymakers looking to boost agricultural development in Ghana.

The aim of this paper is to analyze the impact of an entrepreneur's social capital on their access to information, and how such access improves the performance of their entrepreneurial project.

A structural equations model (SEM) is estimated and validated from a database including information from 282 Argentinean entrepreneurs who answered a questionnaire specifically designed for this research. The analysis of this model allowed the impact of dependent latent variables on the performance of the start‐up to be determined.

The performance of an entrepreneurial project depends on an entrepreneur's access to finance, markets and information. Specific dimensions of social capital facilitate access to these resources: the relational dimension facilitates access to information; the resources dimension makes access to finance easier; the structural dimension helps the entrepreneur to access markets.

The sample is not large enough to analyze differences among specific types of entrepreneurial projects: for instance, the role of social capital in industrial and service entrepreneurship (activity sector), the differences between the federal capital, Buenos Aires, and the rest of the country (location), and between female and male entrepreneurs (gender).

The results help in understanding which dimensions of an entrepreneur's social capital facilitate access to information and how these specific dimensions enhance the performance of the project. Hence, this paper has managerial and policy implications for the generation of dynamic entrepreneurial projects capable of becoming development drivers.

The purpose of this paper is to examine the impact of informal credit access on agricultural productivity in rural Ghana.

Data sets from the Ghana Feed the Future baseline survey involving a total sample of 2,437 rural farm households were used. In order to address the problem of endogeneity and sample selectivity bias, the endogenous switching regression (ESR) model was employed to examine whether rural farm households’ with access to informal credit and those without access differ in terms of their productivity levels and whether access to informal credit affects agricultural productivity.

Estimates from the ESR show that access to informal credit significantly promotes agricultural productivity. Specifically, farmers with access to informal credit were able to achieve a yield of 48.42 kg/ha more than their counterparts without informal credit access. In terms of the counterfactual, farmers without informal credit access would have increased their yield by 57.61 kg/ha if they were to have access to informal credit.

The study was restricted to the savannah ecological zone of Ghana. This limits the extent of generalisation of results.

This study provides a rigorous econometric analysis of the impacts of access to informal credit on agricultural productivity in rural Ghana. The study contributes to the current debate on the link between access to informal credit and agricultural productivity and provides valuable input for policymakers.