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The purpose of this paper is to study an innovative rice value chain financing system (VCFS) established in Benin, to identify the determinants of producers and processors access to formal credit, both at intensive and extensive margins. It focuses on multi-stakeholder platforms (MSP) which connect producers and processors in need of credit to potential financial lenders.

The empirical analysis uses rich cross-sectional survey data collected in Northern Benin in 2018. The sample consists of 215 rice producers and 217 rice processors randomly selected through a multi-stage sampling and interviewed with structured questionnaires. The empirical models analyze the determinants of the likelihood to receive a credit and the amount of credit received. To account for the sample selection and censored nature of the main outcome variable, the study considers a Heckman two-stage model coupled with a Tobit model for robustness checks.

The study finds that the MSP are effective in increasing access to formal credit and the amount borrowed. Producers and processors who are members of the MSP are more likely to receive credit and, conditional on being approved for credit borrower, a larger amount. Other key factors that significantly explain access to credit include the use of soft guarantee for securing a loan, the degree of participation in the platform and demographic characteristics. These findings are consistent across the Heckman and Tobit models.

The study attempts to rigorously analyze the factors explaining producers and processors access to credit using cross-sectional survey data. But it has some limitations. The main limitation is the type of data used. Ideally, one would like to run a randomized control trial (RCT) to randomly assign participation in the MSP to causally estimate its impact of access to credit. The second-best option would be to have a panel data covering the period before and after the establishment of the platform. However, in the absence of an RCT or panel data, the study resorts to cross-sectional data and empirical models that account for sample selection bias and the censored nature of the credit received.

One of the key findings of the study is that participation in the MSP (through different value chain stages associations) increases access to formal credit. This highlights an important and effective mechanism, a well-coordinated value chains that integrated lenders, that policymakers can leverage to facilitate access to credit in the agricultural sector.

Access to credit is important to boost agricultural productivity and income. Hence, the findings of the study have social implications in terms of poverty reduction in rural areas.

The study contributes to earlier theories and empirical studies on the demand for credit. It focuses on an innovative VCFS, increasingly adopted in many developing countries, adds originality and value to the understanding of mechanisms to unlock agricultural actors’ access to credit in low-income countries.

The purpose of this study is to examine the effect of loans provided by Benin's largest microlender.

A pipeline design and matching techniques contribute for identifying the causal effect. The loan treatment considered is loan experience. It includes program entry timing, take-up frequency and the amount obtained over six years. The study uses a cluster analysis to create comparison groups.

Experience with agricultural loans has a statistically significantly positive effect on recipients' farm income, food security and women's empowerment. Though unusual, these positive results can be credited to the very low rate of loan repurposing and mostly to the lender's rigorous loan implementation strategy.

The study results validate the hypothesis underlying development strategies that target women regarding loan programs. The study provides a simple yet valuable lesson for future credit impact evaluations: the context of the loan program as well as the evaluation indicators is essential.

This study’s findings suggest that microcredit, when offered judiciously and with support, can improve farmers' conditions.

Given the relatively long period studied, the analysis has been innovative in defining loan treatment and creating reliable treatment groups. Also to the best of the authors’ knowledge, this study is the first of its kind in Benin.

This paper aims to systematically expound the theory and development background of supply chain finance and blockchain, design a railway freight supply chain financial platform based on blockchain, determine the risk management system and business support system of supply chain finance business and analyze the value generated by the combination of supply chain finance business and blockchain.

Investigation and research method; Prototype method; Model method; Value analysis.

The business model integrating supply chain finance and blockchain technology will bring great changes to freight industry. The development of supply chain finance is beneficial to the healthy development of the core participants of railway freight transport business and its upstream and downstream ecosystems. It links commerce, logistics, warehousing and financial services together and builds an industry-integrated ecological service platform through information technology platform and supporting system, taking data as the basis and combining information technology such as blockchain as innovative means.

This paper will provide important reference value for related research. This paper innovatively designs the supply chain financial platform of freight transportation industry-integrating blockchain technology and analyzes its business model, technical system, risk management and control system and value system in detail, which will provide technical support for the innovative reform of freight information technology and realize the stable and high-speed development of freight logistics informationization.

The purpose of this research is to investigate how to introduce a financing scheme to tackle the manufacturer's capital constraint problem, discuss the effects of data-driven marketing (DDM) quality, cross-channel-return (CCR) rate and financing interest rate on the members' pricing and delivery-lead-time decisions and optimal performances, and analyzes `how to achieve the coordination within a dual-channel supply chain (DSC) by contract coordination.

This work establishes a DSC model with DDM, and the offline retailer can provide internal financing to the capital-constrained online manufacturer. The demand under the price is determined based on DDM quality, customer channel preference and delivery lead time. Then, combined with the Stackelberg game, the optimal pricing and delivery-lead-time decisions are discussed under the inconsistent and consistent pricing strategies with decentralized and centralized systems. Furthermore, it designs a manufacturer-revenue sharing contract to coordinate the members under the two pricing strategies.

(1) The increase of DDM quality will reduce the delivery-lead-time under the inconsistent or consistent pricing strategy and will push the selling prices; (2) The growth of the CCR rate will raise selling prices and extend the delivery-lead-time under the decentralized decision; (3) Under price competition, the offline selling price is higher than the online selling price when customers prefer the offline channel and vice versa; (4) The retailer and the manufacturer can achieve a win-win situation through a manufacturer-revenue sharing contract.

This paper contributes to the studies related to DSC by investigating pricing and delivery-lead-time decisions based on DDM, CCR, internal financing and supply chain contract and proposes some managerial implications.

The global demand for food is expected to increase by 60 percent by 2050 when the world’s population reaches 9.1 billion. To meet this challenge significant investment in the agricultural sector is required to embrace innovative financing mechanisms that can benefit sustainable agricultural development, food security and nutrition. The purpose of this paper is to analyze the agricultural value chain (AVC) financing approaches and tools in India. It presents a proper understanding of the different case studies of Indian AVC financing models and related instruments. It also offers some useful recommendations to improve their efficiency.

The authors employ the multiple case studies approach to research which allows for a purposive sample and the potential for generalizability of findings. This provides a more rigorous and inclusive approach than a single case study research due to the triangulation of evidence. Subsequently, the authors offer an explicit description of AVC financing models. In the next phase, a thorough assessment of these models is made. Finally, the authors formulate some useful policy recommendations based on the findings of the analysis.

There is a need to review the value chain models that exist in the context of – lead actors, business model and sustainability strategy. Determining actual and critical points of finance such as the current flows of funds and their sources of financing, what is needed and in what point in time is significant to enhance the effectiveness of the models. Further, there is a need to analyze and compare financing options such as their relative strengths, risks and costs of financing for each level of participant in the chain. The authors observe that rather than investing in one component of the chain, the financial institution can grow expertise in the chain, share this knowledge and provide financing to support services. This not only benefits clients, but also expands lending opportunities while lowering the risks.

The study primarily focusses on AVC financing approaches and tools in India and attempts to analyze the inadequacies in the value chain models. The case study approach is adopted as the accurate data on value chain financing are not available for the analysis.

The study has come out with the following policy recommendations: the governments (union government as well as state governments) – in partnership with the private sector need to spearhead and develop measures aimed at making the operation of the value chain efficient, fair, profitable and sustainable; governments have to focus on creating an enabling policy and regulatory environment and, providing the necessary support services in order to attract more investments. These will lower the transaction costs, facilitate the smooth flow of finance along the chain and ultimately increase value-added; financing for processing and marketing is particularly crucial for growth and expansion of the chain; bank finance should not be limited to short-term production loans, but also include big-ticket loans with longer maturities to finance investments in farming equipment and machinery, transportation, storage, mills and other processing/post-harvest facilities.

This study is the first of its kind as it is based on a multiple case studies approach in understanding and analyzing the efficiency and effectiveness of AVC financing models in India by evaluating eight of such models. Besides, it offers quite useful policy recommendations to improve their efficiency.

The purpose of this paper is to synthesize lessons from the agricultural value chain models and their associated financing mechanisms in China and India as to provide policy recommendations on how best to facilitate development of efficient and inclusive value chains.

The paper builds on a review of the existing literature on agricultural value chains and their financing mechanisms, and draws lessons from it for strengthening interface between product and financial markets in order to enable smallholders capture benefits of the value addition.

From the comparative review of value chain financing mechanisms and current policy contexts the authors find dominance of internal financing of value chains (in terms of provision of inputs, technology and services) in both the countries. Value chain finance from commercial banks and other financial institutions is limited and mainly through tripartite agreements among the financing institutions, lead firms and farmers.

The lessons drawn from various value chain models and their financing mechanisms provide feedback to financial institutions and policymakers to take measures to strengthen value chain finance in smallholder agriculture.

The paper undertakes a rigorous review of the existing value chain models and their financing mechanisms in light of the most recent research on emerging innovations and development strategies, in order to glean key lessons for policy recommendations on strengthening linkages between financial and product markets.

This study aims to describe in detail, a system dynamics-based study that was used to show how a large vertically integrated aquaculture company should approach its stepwise capacity expansion program, without undermining its financial performance or affecting the performance of the value chain.

The company and its aquaculture value chain are used as case study. A system dynamics model is developed on the basis of generic end-to-end agribusiness and aquaculture supply chain models. The model includes the unique dynamics relating to an aquaculture supply chain. Also modelled is the working capital management rules of the company, with the effects of the capacity expansion program on its working capital, market share and its supply chain obligations. The model is used to determine the long-term impact of the company’s working capital management under different modes of financing and rate of expanding the capacity.

For a large vertically integrated company that wants to increase its capacity, there is a systematic approach to working capital management that can be used to avoid financial distress or value chain distortion.

Extended the scope of system dynamics modelling within multiple disciplines, namely, agribusiness supply chain finance, supply chain capacity investment, financial management in large companies, supply chain working capital management and aquaculture value chain.

The developed model can be used to manage supply chain working capital in large vertically integrated agribusinesses, and also to assess supply chain financial risk.

To enhance the model build, discrete event simulation was used to model aspects of the system. The eventual system dynamics-discrete event simulation model is a form of hybrid simulation modelling that was used to provide a deeper understanding of how supply chain financial decisions affect an entire value chain system.

In the current era of technological advancement, it is becoming essential for financial institutions to serve through financial technology (Fintech). This study aims to integrate Fintech with value chain in existing system of Islamic financial institutions (IFIs) and to determine the adoption of Fintech value chain financing (FVCF) by IFIs in the presence of mediators.

This paper examines a conceptual model by performing a self-administration survey for 393 sample size. After the completion of data collection 263 suitable responses are used for analysis. The hypotheses are tested by applying algorithm, bootstrapping and blindfolding techniques.

The findings of structural model demonstrate that trust, information sharing (IS) and information and communication technology (ICT) are important for adoption of FVCF in the perspective of IFIs. Secondly, innovativeness is partially mediating the relationship of trust, IS and ICT for adoption of FVCF. Thirdly, competitiveness is fully mediating the relationship of trust, IS and ICT with agility for adoption of FVCF by IFIs.

Theoretically, this research is developing a conceptual model that is providing a new way to integrate value chain partners. This study is demonstrating the sequential mediation for the adoption of FVCF. Practically, this research is giving meaningful insight to policymakers of IFIs by suggesting a way forward to adopt FVCF. However, there is need to know the perception of other stakeholders that may involve in FVCF.

Because there exists limited work in the context of integration and adoption of Fintech by organizations, this study is a pioneer that is taking the perspective of financial institutions for FVCF.

The purpose of this paper is to demonstrate the relationship between value chain financing and access to finance of small‐scale farmers in Rwanda. The authors propose two models of access to finance and their correlation with improved productivity and therefore profit for producers was obvious. Value chain financing products in Mukunguli, southern Rwanda have improved the life of small‐scale farmers tremendously.

The paper is based on documentary reviews on value chain financing and direct interviews conducted with 122 farmers and staff from the microfinance institution. SPSS was used to analyze results from the field and actions are recommended for future prospects.

It was evident from the data collected from selected respondents that impact of the access to value chain financing products had a straight link to the levels of profit and production.

Access to basic documentation was among the limitations of this paper. Furthermore, reliability of data collected from interviewers was open to question as it required deep analysis on some of the samples.

The paper includes implications of access to finance in agriculture sector through value chain financing products. The feasibility of the tested products had been approved, by both the financial institution and farmers. Value chain finance has improved the productivity and profits of farmers as well as the profit of the microfinance institution.

The well being of small‐scale farmers has improved tremendously.

The paper is original in proving that value chain finance products can work in Rwanda – the first experience being in Mukunguli. It also proves that a microfinance institution can solve problems faced by small‐scale farmers in remote areas.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.