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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 research is to explain the financing dilemma of China's strategic emerging industries and improve their financing efficiency, seize the commanding heights of economic science and technology to provide theoretical support.

This paper selects the companies listed under strategic emerging industry during the period of 2010–2017 as the research object and used the data envelopment analysis method (DEA) to evaluate the financing efficiency of China's strategic emerging industries and selects the tobit analysis method to find out the factors affecting its financing efficiency.

The results show that the average financing efficiency of listed companies in strategic emerging industries between 2010 and 2017 is 0.7792, and the level of financing efficiency of strategic emerging industries is still at a low level. Among them, the bio-pharmaceutical industry and the energy-saving and environmental protection industry have the highest comprehensive level, and the high-end equipment manufacturing industry and the new energy industry have the lowest level of financing efficiency. Among the factors affecting the financing efficiency of strategic emerging industries, the asset-liability ratio, financial expenses and cash ratio and financing efficiency are negatively correlated, and the net asset income is positively correlated with the growth rate of the main business income.

This paper measures the financing efficiency of China's strategic emerging industries, then explores the influencing factors of the financing efficiency of strategic emerging industries and tries to provide important reference values for the improvement of the financing efficiency of China's strategic emerging industries at a practical level.

This study aims to validate a potential synergistic venture between cash waqf (Islamic endowment) institutions (CWIs) and financial cooperatives (FCs) in the provision of affordable Islamic home financing (IHF) in Malaysia.

The study adopted semi-structured interviews with ten experts to validate the cash waqf-financial-cooperative-mushārakah mutanāqiṣah (CWFCMM) model. Thematic analysis technique was used to analyse the verbatim texts.

The findings show that the majority of the informants have positive perceptions of the potential of the CWFCMM model to provide financially affordable IHF products in Malaysia. Nevertheless, this study sheds light on the varying degrees of latent issues and challenges that might arise in the implementation of this model. For example, FCs need to practice the correct business model, implement good governance structures and employ the right people. Meanwhile, CWIs need to work on their accountability issues by publishing their audited accounts in mainstream newspapers, much like what is being done by non-governmental organisations such as the widely recognised Malaysian Medical Relief Society (MERCY Malaysia).

This study interviewed a small, industry-specific number of informants in generating its findings. Time and budget constraints are some of the limiting factors in carrying out the study. Because of these factors, the generalisation of the study’s findings will be limited.

First, the CWFCMM model offers an alternative, financially affordable IHF instrument to low- and middle-income households in Malaysia. Second, the involvement of third-sector institutions such as FCs and CWIs in the provision of IHF will reduce the burden of the government in its spending on home financing solutions for civil servants. Third, this model will harness the potential of waqf-based financing beyond the contemporary limited applications to mosques, graveyards and taḥfīẓ (Qurʾan memorization) schools.

This study presents an alternative IHF model that transcends the current institutional framework that is heavily dominated by Islamic commercial banks and government-owned home financing institutions. The study does not focus on a single third-sector institution but on an integration of at least two of them, CWIs and FCs, in implementing the IHF model.

The main objective of this study is to examine whether firms follow the financing hierarchy as suggested by the Pecking Order Theory (POT). The External Funds Needed (EFN) model offers a financing hierarchy that can be used for examining the POT. As far as the EFN considers growth of sales as a driver for changing capital structure, it follows that shall firms plan for a sustainable growth of sales, a sustainable financing can be reached and maintained. This study uses data about the firms listed in two indexes: Dow Jones Industrial Average (DJIA30) and NASDAQ100. The data cover quarterly periods from June 30, 1999, to March 31, 2012. The methodology includes (a) cointegration analysis in order to test for model specification and (b) causality analysis in order to show the generic and mutual associations between the components of EFN. The results conclude that (a) in the majority of the cases, firms plan for an increase in growth sales but not necessarily to approach sustainable rate; (b) in cases of observed and sustainable growth of sales, firms reduce debt financing persistently; (c) firms use equity financing to finance sustainable growth of sales in the long run only, while in the short run, firms use internal financing, that is, retained earnings as a flexible source of financing; and (d) the EFN model is quite useful for examining the hierarchy of financing. This study contributes to the related literature in terms of utilizing the properties of the EFN model in order to examine the practical aspects of the POT. These practical considerations are extended to examine the use of the POT in cases of observed and sustainable growth rates. The findings contribute to the current literature that there is a need to offer an adjustment to the financing order suggested by the POT. Equity financing is the first source of financing current and sustainable growth of sales, followed by retained earnings, and debt financing is the last resort.

The purpose of this paper is to compare the effects of equity financing and debt financing on technological innovation, and prove that the enhancement of a financing system’s risk tolerance for technological innovation can enhance the innovation risk preference of enterprises and thus promote innovation.

This study is based on a transnational sample of 35 developed countries from 1996 to 2015, by using the panel econometric model to empirically examine the effects of two financing modes on innovation.

The findings showed that equity financing, which has higher risk tolerance, has a more positive impact on innovation than debt financing in terms of both economic uptrend and economic downtrend, and that government efficiency plays a significant role in supporting the performance of technological innovation.

The paper provides a research framework for examining how a financing system’s risk tolerance capacity affects the development of technological innovation through promoting risk preference among enterprises. This paper provides transnational and cross-cycle comparative evidence that equity financing with a strong risk tolerance capacity can better support technological innovation, even in periods of economic downtrend. Moreover, the importance of financing system’s risk tolerance capacity for innovation during economic crises is discussed.

This paper aims to empirically examine the financing of small and medium sized enterprises (SMEs) through a financial growth lifecycle model.

Data in publicly available databases are generally unsuitable to examine the financial lifecycle model, thus a questionnaire survey was employed to collect data. Because of the well‐documented reticence of SME owners to reveal detailed financial information, data were requested in percentage form. This innovative methodology was successful, as 92 per cent of respondents disclosed detailed financing data. A response rate of 42.6 per cent across six industry sectors provided data to employ parametric techniques. Reporting and analysing the large primary data set across six age categories, a number of statistical tests were conducted to test the financial growth lifecycle model.

Analysis of respondents' capital structures across age groups indicates distinct changes in sources of finance employed by firms over time. Financing choices are consistent with Myers's pecking‐order hypothesis, and the importance of profitability in financing SMEs is emphasised. Contrary to conventional wisdom, respondents in the youngest age category report a relatively high use of debt financing. This is explained by the provision of firm owners' personal assets to secure firm debt.

The key contribution of this paper is to provide an empirical examination of the financial growth lifecycle model by combining a number of statistical tests. This approach is significantly different to that traditionally adopted in empirical investigations of SME financing, which is to examine the applicability of theories developed in corporate finance on panel data. Additionally, the paper presents data on personal sources of finance employed by firm owners, which is typically not available, even in comprehensive secondary databases.

The purpose of this paper is to develop an investment valuation model using the mezzanine debt mechanism based on blue bonds that explicitly allude to public–private partnerships (P3s) and project finance (PF). Additionally, this study proposes the financial captured value (FCV) theory for measuring how much financial value lenders may capture by becoming sponsors through financing of sustainable infrastructure systems (SIS).

The investment valuation model was validated through the Aguas Claras wastewater treatment plant as a case study.

The empirical results show that lenders may capture financial value by converting outstanding debt into equity shares throughout the operation and maintenance stage. Furthermore, case study results provide new insights into the implications of the debt–equity conversion ratio on the relationship between the sponsors’ internal rate of return and the FCV.

The most significant limitation is the lack of primary and secondary information on blue bonds. Thus, robust statistical analyses to contrast results were not possible.

Researchers and practising professionals can improve their understanding of how mezzanine debt, P3s and PF into an investment valuation model allows financing SIS using a non-conventional financial mechanism. The recommendations will benefit both the academia as well infrastructure industry in bridging the gap between design theory and practice.

Sustainability components have not been addressed explicitly or combined in the financing’s structuring. Therefore, the investment valuation model could be considered a novel methodology for decision making related to financing and investment of SIS.

This paper aims to explore product pricing and green promotion effort policies and further analyzes the influences of financing interest rate, green promotion effort and free-riding behavior on the optimal strategies.

Research will be conducted with the aid of Stackelberg game research method, considering that the manufacturer has financial constraints and financing from e-commerce platform, and consumers have dual preferences, based on the two models of no green promotion effort for physical store and green promotion effort for physical store to explore dual-channel green supply chain strategies.

This research puts forward the following findings, in the two models: the rise in financing interest rate leads to an increase in wholesale and selling prices of dual channels and a decrease in demand of dual channels. The green promotion effort has a positive impact on wholesale prices, selling prices and demand of dual channels. The rise of free-riding rate makes offline wholesale and selling prices fall, whereas online wholesale and selling prices rise.

This research results can provide reference for the decision-making in the context of supply chain financing and free-riding.

This study aimed to improve the financing credit evaluation for small and medium-sized real estate enterprises (SMREEs). A financing credit evaluation model was proposed, and a blockchain-driven financing credit evaluation framework was designed to improve the transparency, credibility and applicability of the financing credit evaluation process.

The design science research methodology was adopted to identify the main steps in constructing the financing credit model and blockchain-driven framework. The fuzzy analytic hierarchy process (FAHP)–entropy weighting method (EWM)–set pair analysis (SPA) method was used to design a financing credit evaluation model. Moreover, the proposed framework was validated using data acquired from actual cases.

The results indicate that: (1) the proposed blockchain-driven financing credit evaluation framework can effectively realize a transparent evaluation process compared to the traditional financing credit evaluation system. (2) The proposed model has high effectiveness and can achieve efficient credit ranking, reflect SMREEs' credit status and help improve credit rating.

This study proposes a financing credit evaluation model of SMREEs based on the FAHP–EWM–SPA method. All credit rating data and evaluation process data are immediately stored in the proposed blockchain framework, and the immutable and traceable nature of blockchain enhances trust between nodes, improving the reliability of the financing credit evaluation process and results. In addition, this study partially fulfills the lack of investigations on blockchain adoption for SMREEs' financing credit.

This study aims to examine the nonlinear threshold effect of female board gender diversity (FBGD) on debt financing (DF) and equity financing (EF) decisions arguing that the effect of FBGD varies/changes depending on the numerical strength of the women on the board.

This study uses seemingly unrelated simultaneous panel equation modeling of 19 listed firms on the Ghana Stock Exchange (GSE) between 2010 and 2021. Although natural logs of equity and debts are used to proxy financing decisions, FBGD is measured as a percentage of total female board members to total board members.

This study reveals a nonlinear inverted U-shape effect of FBGD on EF and DF options. Although this result implies that the positive effects transit to negative effects when FBGD reaches numerical thresholds 34.20% and 35.11%, respectively, it also suggests that the risk averse nature of women on EF and DF usage becomes more visible and intense when the percentage of women on board increases above the mentioned thresholds, respectively. Clearly, the effect gender diversity on DF and EF depends on the numerical strength of the women on a board.

These results suggest that corporate entities and managers must be careful in the formation and implementation of gender diversity policies as gender diversity policies can influence/change debt and EF decisions. In addition, the thresholds show that a smaller number of women on board is required to lower EF compared to debt and this highlights risk-aversion nature women toward riskier financing decision. Also, the nonlinear inverted U-shape nexus from FBGD to EF and DF confirms the inverted U curve theory implying that the numerical strength of females on boards is critical for financing decisions.

This study contributes to the “gender diversity-financing decision” literature by simultaneously conceptualizing and modellng debt and EF structures and providing an emerging economy perspective on how gender diversity nonlinearly affects financing decisions.