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This chapter insists that local cocreation projects need not only good intentions and the hard work of volunteers but also require funding and financing of the design and implementation of new solutions. It draws a conceptual distinction between funding and financing and explains who may help to provide funding and financing and why they may do so. As a part of this discussion, attention is drawn to the importance of writing good and persuasive funding applications and drawing up a strong and convincing business case to secure financing of new solutions. The new and emerging strategy for mobilizing private capital to help finance SDG projects is explained and illustrated, before closing the chapter with a discussion of the need to develop a proper system for fiscal accounting and auditing, which can prevent mismanagement and misconduct that eventually undermine popular support for local SDG projects.

The purpose of this paper is to compare the stringency of different types of public financing institutions' safeguard mechanisms in the financing of large dams in developing countries. It seeks to do so by examining: the institutional strategies and policies currently in place in a set of key public financing institutions; and project‐level case studies of dams financed by these institutions and the stringency with which existing policies are applied by the key financing institutions. It aims then to cite the key factors determining why the “safeguard‐performance” between these types of financing institutions differs and what the implications are for leaders working to effect improvements in these areas.

The study compares the safeguard mechanisms of two types of financing institutions by applying a set of benchmark criteria to both existing strategy and policy documents and to the actual application of those policies at the project level, through correspondence, interviews, and site visits.

The study argues that leaders may make a difference on improving the sustainability performance gap in the financing of large dams – with more difficulty in those cases where the current gap is mainly to be explained by “systemic” factors; and arguably with more ease in cases where the current gap is caused mostly by other factors.

The study leads to the above findings for the case of public financing institutions and large infrastructure projects (with a focus on dams). To make for greater generalisability of the findings, future research should complement this work by focusing on private financing institutions and on the financing of other types of projects.

Large infrastructure projects have massive social and environmental impacts, and public financial institutions have a large stake in determining the sustainability (or otherwise) of these projects. The paper seeks to help make large infrastructure investments more sustainable by providing guidance to leaders as to where and how sustainability aspects could best be integrated in financing decisions for these projects.

The value added lies in helping leaders define where sustainability efforts in large infrastructure finance are warranted – and where, conversely, they represent largely wasted efforts.

An appropriate space allocation among different residence types gives higher profitability and liquidity for cash flow management in real estate projects for developers. Thereby, a balance between debt and equity should be kept for capital formation in developers where high level of cost, profit and risk exists. The purpose of this paper is to provide cash flow optimization under debt and equity financing while providing an appropriate space allocation of residence types via synchronous consideration of profitability and liquidity.

A novel optimization methodology that includes project financing, optimization and experimental design modules is proposed. The first module, project financing, considers the flexibility of utilizing one or both of debt financing and equity financing when making capital. The optimization module addresses space allocation among different residence types for a construction while maximizing profitability and liquidity using two mixed-integer linear programming models in a pre-emptive manner. The experimental design module assesses the effects of decisive parameters within the methodology via multivariate analysis of variance (MANOVA).

The proposed methodology is applied to a real-life residential project in Istanbul. The optimization module yielded 42.5% profitability via the first linear programming model and 2.2% trade-off between liquidity and profitability while minimizing the payback period by the second linear programming model. Meanwhile, MANOVA results showed that profit per square meter and sale rate trends are the most prominent factors considering their significant effects on net present value and payback period.

To the best knowledge of the author, related papers focused only on profitability under equity financing. Liquidity (as an objective) and equity financing (as a financing method) have not been handled. Hence, this paper not only performs profitability and liquidity-oriented cash flow optimization under debt and equity financing but also optimizes space allocation of residences for the first time.

This study aims to identify project funding shortcomings in the existing literature and evaluate the financing channels accordingly.

This paper uses a structured literature review – a content analysis method. Then, the comparative analysis applied to data gathered from the content analysis.

To define the main research topics and establish a focus on hydroelectric power plant (HEPP) financing, a comprehensive structured literature review was conducted. According to the results of this study, there are three main categories of HEPP financing studies in the literature, namely, financing channels and products, factors that complicate financing and financing- risk relationship of HEPP projects. According to these findings, which criteria most affecting HEPP financing and which financing channel is the most suitable are determined.

Among all financing channels, only direct debt sources are selected.

This study is structured as a simple lender selection guide for HEPP investments. Selection criteria are applicable for both lenders and investors. For lenders, those criteria are expected to improve loan performance and optimize financial product selection. For investors, those criteria are expected to help choosing suitable products and improve revenues.

This study will contribute the researchers those intended to work on the topic.

This study will contribute to limited literature on HEPP financing. Project finance literature is limited and narrow even there is no study that investigates hydropower project finance sourcing. In this manner, this study can be considered as a pioneer.

The majority of the literature on green buildings in Ghana focuses on environmental benefits, innovative designs, construction technologies and project management techniques. However, little is known about how such facilities are financed. This issue creates potential knowledge gaps, one of which this study aims to address. This study examines the key drivers for green building project financing in Ghana.

The study uses an explanatory sequential design with an initial quantitative instrument phase, followed by a qualitative data collection phase. An extensive critical comparative review of the literature resulted in the identification of eight potential drivers. One hundred and twenty-seven questionnaire responses based upon these drivers from the Ghanaian construction industry were received. Data were coded with SPSS v22, analysed descriptively (mean, standard deviation and standard error) and via inferential analysis (One Way ANOVA and One-Sample t-Test). These data were then validated through semi-structured interviews with ten industry professionals within the Ghana Green Building Council. Data obtained from the semi-structured validation interviews were analysed through the side-by-side comparison of the qualitative data with the quantitative data.

Though all eight drivers are important, the five key drivers for the Ghanian construction industry were identified as, in order of importance, “high return on investment”, “emerging business opportunity”, “ethical investment”, “conservation of resources” and “mandatory regulations, standards, and policies”. The interviewees agreed to and confirmed the importance of these identified drivers for green building project financing from validating the survey's key findings.

Key limitations of this study are the restrictions regarding the geographical location of the collected data (i.e. Kumasi and Accra); timing of the study and sample size (i.e. the COVID-19 pandemic making it difficult to obtain adequate data).

Though this study was conducted in Ghana, its implications could be useful to researchers, policymakers, stakeholders and practitioners in wider sub-Saharan Africa. For instance, financial institutions can invest in green buildings to expand their green construction and mortgage finance products to build higher value and lower risk portfolios. The findings from this study can provide investors with the enhanced certainty needed to help guide and inform their investment decisions, i.e. what to invest in, and when, by how much and how a scheme being “green” may influence their rate of return. Also, for building developers, it will give them a clearer understanding of the business case for green buildings and how to differentiate themselves in the market to grow their businesses.

This study's findings provide insights into an under-investigated topic in Ghana and offer new and additional information and insights to the current state-of-the-art on the factors that drive green building project financing.

Various factors may influence project finance when a multi-sourced debt financing strategy is used for financing capital investments, in general, and public infrastructure investments, in particular. Traditional indicators lack comprehensive consideration of the influences of many internal and external factors, such as investment structure, financing mode and credit guarantee structure, which exist in the financing decision making of BOT projects. An effective approach is, thus, desired. The paper aims to discuss these issues.

This paper develops a financial model that uses an interval number to represent the uncertain factors and, subsequently, conducts a standardization of the interval number. Decision makers determine the weight of each objective through the analytic hierarchy process. Through the optimization procedure, project investors and sponsors are provided with a strategy regarding the optimal amount of debt to be raised and the insight on the risk level based on the net present value, as well as the probability of bankruptcy for each different period of debt service.

By using an example infrastructure project in China and based on the comprehensive evaluation, comparison and ranking of the capital structures of urban public infrastructure projects using the interval number method, the final ranking can help investors to choose the optimal capital structure for investment. The calculation using the interval number method shows that X2 is the optimal capital structure plan for the BOT project of the first stage of Tianjin Binhai Rail Transit Z4 line. Therefore, investors should give priority to selecting a capital contribution ratio of 45 per cent for this investment.

In this paper, some parameters, such as depreciation life, construction period and concession period, are assumed to be deterministic parameters, although the interval number model has been introduced to analyze the uncertainty indicators, such as total investment and passenger flow, of BOT rail transport projects. Therefore, more of the above deterministic parameters can be taken as uncertainty parameters in future research so that calculation results fit actual projects more closely.

This model can be used to make the optimal investment decision for a project by determining the impact of uncertainty factors on the profitability of the project in its lifecycle during the project financial feasibility analysis. Project sponsors can determine the optimal capital structure of a project through an analysis of the irregular fluctuation of the unpredictable factors in project construction such as construction investment, operating cost and passenger flow. The model can also be used to examine the effects of different capital investment ratios on indicators so that appropriate measures can be taken to reduce risks and maximize profit.

This chapter discusses the opportunity of Islamic project financing implementation for public infrastructure development in Indonesia.

This chapter, firstly, reviewed existing literature on Islamic finance to explore the applicability of Islamic financing in infrastructure development. Interviews were conducted as the first stage of Delphi method approach. This was then followed by reviewing Indonesia’s government policies and regulations in infrastructure industry and Islamic financing.

This chapter enlightens the implementation of Islamic financing on infrastructure project financing in Indonesia. The findings indicate that the government policies and regulations on both infrastructure investment and Islamic financing support the implementation of Islamic project financing, whereas, an improvement is still needed in order to overarch infrastructure business and Islamic financing investment.

Financing framework development for Indonesia infrastructure projects.

The result reported comprises the preliminary study of Islamic project paper written based on published research papers and interviews. Furthermore, the data collected for the study are limited to the case of Indonesian infrastructure projects.

Islamic financing in Indonesia infrastructure projects development has not been optimally implemented. Therefore, this chapter serves as a catalyst to explore alternative financial scheme such as Islamic financing for infrastructure development.

This chapter highlights possibilities and obstacles in applying Islamic scheme to infrastructure project financing. This provides a framework to analyse the steps to implement Islamic financing successfully in infrastructure development.