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The goal of this study was to determine the impact of access to credit facilities on financial performance among farmers of cooperative societies. The study also tested the predictive power of financial literacy.

The descriptive survey research design was used for the study while the sample size was 240 farmers of cooperative societies from South-East Nigeria. The farmers were categorised into those with access to credit facilities and those without access to credit facilities. A structured questionnaire was used to collect data for the study. Data were analysed using multiple analyses of variance (MANOVA) and multiple regression analysis.

Farmers with access to credit facilities reported higher financial performance such as return on investment, working capital, net profit, profit margin and sales. However, those without access to credit facilities reported lower mean scores on financial performance. Also, financial literacy, like financial knowledge, attitude and awareness, significantly predicts the impact of access to credit facilities on financial performance. It was also found that the duration of repayment of credit facilities, like medium and long term, contributes more to improving financial performance.

This study has shown that even though access to credit facilities impacts financial performance, financial literacy is an important consideration. Also, the duration of repayment is a crucial factor.

This study aims to discover the key performance indicators (KPIs) of the agricultural cold supply chain (ACSC) and analyze their consequences on the performance of ACSC within the bounds of Indian topography.

The KPIs have been explored based on the literature review both in global and Indian context and domain expert's opinions. The interdependency characteristics and cause–effect relationship among the KPIs have been analyzed using a fuzzy decision-making trial and evaluation laboratory (f-DEMATEL) approach.

The findings extracted from the empirical assessment of the problem find strong compliance with the notions of theoretical model assessment. The results highlight that the cost of product waste and operating and performance costs are the two most important performance indicators of an Indian ACSC. Furthermore, governmental policies and regulations and the effectiveness of cold chain (CC) equipment also have a high degree of influencing characteristics on ACSC performance.

To connect the study with practicalities, the assessment of the KPIs is allied with real-time practices by clustering the beliefs of Indian professionals. Therefore, the decision-making behavior of the experts might be influenced by geographical constraints. However, the key findings provide advantages to the ACSC players, a bright hope for future food security and a significant profit for farmers.

The presented paper encompasses various aspects of the ACSC, including theoretical and empirical perspectives exercised to contemplate the system dynamics, which inculcates the essence of the associated practicalities. Thus, this study has various practical contributions relevant to managerial and societal perspectives.

There seems to be no controversy about Nigeria being an agricultural country with food sufficiency up till the late 1970s. However, in recent times the country is finding it very difficult to provide sufficient food for the teeming population which has resulted in the majority of the country’s citizens slipping into poverty. The ability of the country to provide sufficiently for the citizens was a result of a lack of reliable and effective developmental and transformational strategies in the agricultural sector of the country which is a major employer of labour in the rural community. To this end, this chapter mainly focuses on factors inhibiting the development of agricultural companies in Nigeria and how to overcome the developmental barriers in the agricultural sector in Nigeria. The findings from the review show that the bane of the agricultural sector in Nigeria is due to the lack of an agricultural regulatory framework and policy transmission mechanism and over-dependence on oil revenue amongst other things (Adams, 2016). It is therefore imperative for the country to embark on the development of a reliable agricultural framework and model that will aid food sufficiency in the country.

Primary agricultural cooperative credit societies (PACSs) in India are considered to be the backbone of the last mile delivery of rural credit for landless and marginal farmers and the poorest sections of the society. Contribution of PACS in social welfare is well documented. However, in spite of being such important form of organization at the grass root level, the authors find a typical baffling phenomenon which is fluctuating growth of PACS. Given that PACS have not been able to establish a consistent growth rate, thus hindering its trajectory to become a strong and consolidated organizational form, it is natural to investigate and identify those success factors that are critical for a newly formed PACS to survive and sustain. Hence it is necessary to undertake a strategic assessment of the function of PACS and hence identify those critical success factors (CSFs). This paper aims to address this issue.

The authors review the existing literature and conduct interview with experts and other stakeholders with the purpose to gain a view of the strategic situation of PACS in India, especially with respect to their birth and death processes and identify a set of factors that are critical to the survival and sustenance of PACS. Based on the inputs from the experts, we modelled the interrelationships amongst these CSFs using interpretive structural modelling (ISM). Further, fuzzy Matriced’ Impacts Croise's Multiplication Appliquée a UN Classement (MICMAC) analysis is performed to cluster these CSFs into four quadrants based on their influence and dependence in the system.

The findings point out that a hierarchical interconnected structure exists amongst the CSFs that influence the survival and sustenance of the PACSs. “Quality and Motivation of Management” was found to be driving all other factors so far the survival of any PACS is considered. Also the authors have found that “Loan Recovery” is the most sensitive factor that needs to be taken care of for the sustenance of PACS. These findings are in the expected line and commensurate with the conventional wisdom yet to be documented till date.

It is a forward-looking analysis that tries to find out the CSFs for the survival of PACS in order to face the changing economic scenario of India which is still agrarian in nature. Both in terms of research question as well as methodology, to the best of the authors’ knowledge, this is first of its kind so far PACS are concerned being one of the most important but neglected entities in India; so far the last mile rural agricultural credit delivery is concerned, this study will help the policy makers to develop a holistic viewpoint in relation to long term sustenance of PACS.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-05-2022-0331

The cost of agricultural loans is a major constraint to the growth of the agriculture sector. This paper examines agricultural loan pricing by banks in Ghana using panel data analysis.

Data were obtained from audited financial reports of 15 agricultural loan lending banks from 2010 to 2017. The study applies the random-effect model and the fixed-effect model in the analysis and uses the system generalized system method of moment to check the robustness of the results from the baseline models.

The study found that agricultural loan pricing by banks is significantly influenced by risk premium, cost of funds, loan impairment, agricultural growth rate and food inflation. Banks should leverage emerging technologies to de-risk agriculture loan pricing to allay the fear of default. Farmers should look for long-term and relatively cheaper funds to support agricultural loans. Increasing credit to the agricultural sector could increase output, thereby reducing food inflation uncertainty for competitive pricing of agricultural loans.

Agriculture employs about 52% of Ghana's labor force, contributing about 20% to GDP. But it is “under” financed. This study leads the way in unraveling the factors accounting for the high prices of agricultural loans in Ghana. This study further contributes to policy development toward increasing credit to the agricultural sector.

This study aims to examine the effect of structural transformation on poverty alleviation in Sub-Saharan Africa (SSA) countries with a higher share of services as a percentage of gross domestic product (GDP). The study specifically focuses on the value-added share as a percentage of GDP in the agricultural, manufacturing, industrial, and service sectors using time series data from 1988 to 2019.

The study utilizes the autoregressive distributive lag (ARDL) bound test framework for estimation, based on the conclusions drawn from the augmented Dickey-Fuller and Phillips–Perron unit root tests, which provide evidence of a mixed order of integration.

The result reveals that agriculture value-added (AVA), manufacturing value-added (MVA), industrial value-added (IVA), and services value-added (SVA) have a positive and significant impact on poverty alleviation in both the short and long run. However, the agriculture sector is found to be more effective in reducing poverty compared to the other sectors examined in this study. Additionally, this study challenges the notion that SSA countries have undergone an immature structural transformation. Instead, it reveals a pattern of stagnant structural transformation, as indicated by the lack of growth in the industrial and manufacturing value-added shares of GDP.

To enhance productivity and reduce poverty, SSA economies should adopt a development strategy that prioritizes heavy manufacturing and industrial sectors, leading to a transition from the agricultural to the secondary and tertiary sectors.

The study contributes to the emerging literature on structural transformation by investigating which sector is more efficient in reducing poverty in SSA countries, using the value-added share as a percentage of GDP for agricultural, manufacturing, industrial, and service sectors. The study also aims to determine if SSA countries have experienced immature structural transformation due to the growing share in the service sector.

Family farms are seen as a powerful force for rural development, and they are gaining more and more research attention. This study aims to explore the relationship between the social networks of family farms and the dual innovation of the family farm business model from the perspective of entrepreneurial orientation.

Using a questionnaire survey of 169 family farms in Qingdao, China, descriptive and inferential statistics were used to analyze the data collected. The study hypothesis was tested using inferential tests (regression analysis).

The study results show that innovative, efficiency- and novelty-based business models facilitated by social networks have a favorable and significant impact on the performance of family farms. Furthermore, the relationship between social networks and new business model creation is positively influenced by an entrepreneurial orientation.

This study is distinctive in that it examines the mechanisms underlying family farm growth from an entrepreneurial standpoint, classifying family farm social networks for the first time into social, market and governmental categories and looking at their impact on the creation of new business models. In addition, it looks into the relationship between the innovation and social network aspect of the family farm business model from an entrepreneurial perspective, offering fresh insight into this connection. It also examines the family farm business model’s connection to innovation and social networks from an entrepreneurial standpoint, providing new insight into this relationship.

The purpose of this paper is to propose a model that will demonstrate how the integration of Salam (exclusive agricultural commodity trade) with Takaful (micro-Takaful – a subdivision of Islamic insurance) and value chain can address major challenges facing the agricultural sector in Kano State, Nigeria.

The study conducted a thorough and critical analysis of relevant literature and existing models of financing agriculture in Nigeria to come up with the proposed model.

The findings indicate that measures undertaken to address the major challenges fail. In view of this, this study proposed Bay-Salam with Takaful and value chain model to solve a number of challenges such as poor access to financing, poor marketing and pricing, delay, collateral requirement and risk issues in order to avail farmers with easy access to finance and provide effective security to financial institutions.

The paper is limited to using secondary data. Therefore, empirical investigation can be carried out to strengthen the validation of the model.

The study outcome seeks to improve the productivity of the farmers through enhancing their access to finance. This will increase their level of production and provide more employment opportunities. In addition, it will boost financial inclusion, income generation, poverty alleviation, standard of living, food security and overall economic growth and development.

The novelty of this study lies in the integration of classical Bay-Salam with Takaful and value chain and create a unique model structure which the researchers do not come across in any research that presented it in Nigeria.

The purpose of this study is to look at the factors that influence the success of Indonesian cooperatives.

This study employs a two-stage quantitative approach. Exploratory factor analysis (EFA) is used to determine the factors in the first step. The next step is to conduct a multivariate regression analysis to determine the impact of these factors on the cooperative success variable in Indonesia.

The components produced include Member Participation, Membership, Cooperative Governance Structure, Board of co-ops, Vertical Integration, Collective Action and Transaction Cost, according to the EFA results. A further study utilizing multiple regression techniques reveals that four elements, namely Member Participation, Board of Coops, Vertical Integration and Collective Action, have a major impact on the performance of Indonesian cooperatives.

Generalizations are impossible because of the small sample size and restricted responders. More studies are required, using a broader range of respondents and approaches.

The results of the study contributed both to the stakeholders of cooperatives and to the development of cooperative science specifically in the context of Indonesian cooperatives. Cooperative stakeholders in Indonesia must realize that members are owners and customers of their cooperative. This awareness must continue to be echoed by cooperatives to its members in various ways, so that commitment arises to members to be willing to participate and cooperate. Awareness of members to participate and cooperate ultimately affects the sustainability of cooperative businesses and impacts improving members' welfare beds.

The study's novelty lies in a more comprehensive model of Indonesian cooperative success.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-02-2022-0078.

The aim of this paper is to analyse the moderating effect of digital transformation (DT) on the relationship between innovation capacity and the performance of agrifood businesses.

Based on a structured questionnaire, data on 98 agrifood small and medium-sized enterprises operating in Spain were collected. The data were analysed using partial least squares structural equation modelling to test the proposed model and study the moderating effect of DT on the relationship between the innovation capacity and performance of agrifood businesses.

The study finds support for the hypotheses and shows the existence of a direct positive relationship between the DT and performance of agrifood businesses. Developing new practices focussed on customer service and performing actions such as improving sales, promoting a new product or service and including a post-sales service influence the capacity of a business to undertake DT.

Future studies should include other factors in the analysis. For example, the impact of knowledge transfer and research and development (R&D) on agrifood businesses' performance should be studied. Education and training, as well as having a diverse network, can help develop and boost businesses' capacity to use and apply the required innovation. Networks play an important role in learning how to apply DT.

This quantitative study is the first to examine the moderating effect of DT in the Spanish agrifood sector on the relationship between innovation capacity and performance. The study examines the role of the DT of companies and explores the competitiveness and efficiency tools that digitalisation offers. Innovation capacity is crucial for the application of these tools.