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The purpose of this paper is to calculate the local guaranteed fiscal revenue with the local fiscal revenue of 31 provinces, and predict their guaranteed fiscal revenue in 2018 with the artificial neural network (ANN).

The principal components analysis (PCA), particle swarm optimization (PSO) and extreme learning machine (ELM) model was designed to produce the inputs of KMV model. Then the KMV model was used for obtaining the default probabilities under different issuance scales. Data were collected from Wind Database. MATLAB 2018b and SPSS 22 were used in the field of modeling and results analysis.

This study’s findings show that PCA–PSO–ELM proposed in this research has the highest accuracy in terms of the prediction compared with ELM, back propagation neural network and auto regression. And PCA–PSO–ELM–KMV model can calculate the secure issuance scale of local government bonds effectively.

The sustainability forecast in this study can help local governments effectively control the scale of debt issuance, strengthen the budget management of local debt and establish the corresponding risk warning mechanism, which could make local governments maintain good credit ratings.

This study sheds new light on helping local governments avoid financial risks effectively, and it is conducive to establish a debt repayment reserve system for local governments and the proper arrangement for stock debt.

The equation of unified knowledge says that S = f (A,P) which means that the practical solution to a given problem is a function of the existing, empirical, actual realities and the future, potential, best possible conditions of general stable equilibrium which both pure and practical reason, exhaustive in the Kantian sense, show as being within the realm of potential realities beyond any doubt. The first classical revolution in economic thinking, included in factor “P” of the equation, conceived the economic and financial problems in terms of a model of ideal conditions of stable equilibrium but neglected the full consideration of the existing, actual conditions. That is the main reason why, in the end, it failed. The second modern revolution, included in factor “A” of the equation, conceived the economic and financial problems in terms of the existing, actual conditions, usually in disequilibrium or unstable equilibrium (in case of stagnation) and neglected the sense of right direction expressed in factor “P” or the realization of general, stable equilibrium. That is the main reason why the modern revolution failed in the past and is failing in front of our eyes in the present. The equation of unified knowledge, perceived as a sui generis synthesis between classical and modern thinking has been applied rigorously and systematically in writing the enclosed American‐British economic, monetary, financial and social stabilization plans. In the final analysis, a new economic philosophy, based on a synthesis between classical and modern thinking, called here the new economics of unified knowledge, is applied to solve the malaise of the twentieth century which resulted from a confusion between thinking in terms of stable equilibrium on the one hand and disequilibrium or unstable equilibrium on the other.

Cryptoassets have recently attracted the attention of national and international financial regulators. Since the mid-2010s blockchains have increasingly been adapted to automate and replace many aspects of financial intermediation, and by 2015 Ethereum had created the smart contract language that underpins the digitization of real assets as asset-backed tokens (ABTs). Those were initially issued by FinTech companies, but more recently banks active on international capital and financial markets, and even central banks, for example, the Bank of Thailand, have developed their own digital platforms and blockchains. A wide variety of real and financial assets underpins ABTs, viz., real-estate, art, corporate and sovereign bonds, and equity. Consequently, owing to the significant market capitalization of cryptocurrencies, the Basel Committee on Banking Supervision (BCBS) published two consultative papers delineating its approach on cryptoasset regulation. In this study, the authors analyze the mechanics of ABTs and their potential risks, relying on case studies of recent issuance of tokens in equity, real-estate, and debt markets, to highlight their main characteristics. The authors also investigate the consequences of the increasingly oligopolistic structure of blockchain mining pools and Bitcoin exchanges for the integrity and security of unregulated distributed ledgers. Finally, the authors analyze the BCBS’ regulatory proposals, and discuss the reaction of international financial institutions and cryptocurrency interest groups. The main findings are, firstly, that most ABTs are akin to asset-backed securities. Secondly, nearly all ABTs are “off-chain/on-chain,” that is, the underlying is a traditional asset that exists off-chain and is subsequently digitized. The main exception is the World Bank’s bond-i that is genuinely native to the blockchain created by the Commonwealth Bank of Australia, and has no existence outside it. Thirdly, all ABTs are issued on permissioned blockchains, where anti-money laundering/anti-terrorist funding and know-your-customer regulations are enforced. From a prudential regulatory perspective, ABTs do not appear to pose serious systemic risks to international financial markets. This may account for the often negative reactions of banks, banking associations, and cryptocurrency interest groups to the BCBS’ 2021 proposals for risk-weighted capital provisions for cryptoassets, which are viewed as excessive. Finally, we found that issuance of ABTS and other smart contracts on permissionless blockchains such as Bitcoin and Ethereum could potentially generate financial instability. A precedent involving Ethereum and The DAO in 2016 shows that (i) there is a significant accountability gap in permissionless blockchains, and (ii) the core developers of blockchains and smart contract technology, and Bitcoin mining pools, exercise an unexpectedly high- and completely unregulated-amount of power in what is supposedly a decentralized network.

This paper focuses on Ṣukūk issuance determinants in Gulf Cooperation Council (GCC) countries. Given the dual characteristic of debt and equity of Ṣukūk as well as their unique benefits of social responsibility, the author questions whether the theories of capital structure, the trade-off and the pecking order are able to well explain the Ṣukūk issuance.

First, the author verifies these theories using capital structure determinants and regresses the Ṣukūk change on these determinants. Second, the author tests the trade-off theory with the target debt model and third, verifies the pecking order theory using the fund flow deficit model.

The empirical results show that capital structure determinants fail to explain both theories. The author confirms that the Ṣukūk change is significatively linked to the deviation from a Ṣukūk target. So, issuing firms balance the marginal costs of Ṣukūk and their benefits of religiosity and social responsibility toward a target debt. The author finds no evidence of the pecking order theory.

This study contributes to corporate finance theory and corporate social responsibility. It verifies if capital structure theories proved in conventional financing can well explain Islamic bonds issuance given their social responsibility benefits.

Managers and investors would pay attention to the social factors explaining Ṣukūk issuance in their finance and investment decisions. They would be enhanced to use this financing tool knowing its social unique benefits. This also should encourage governments to enhance this socially responsible financing. Rating agencies would be motivated to evaluate Ṣukūk and firms would improve the quality and relevance of disclosure to get the best rating.

The author highlights the social factors explaining Ṣukūk issuance and enhances corporate social responsibility (CSR).

The author extends the few literature testing capital structure theories for Islamic bonds and highlights the specific social responsible features of Ṣukūk that would bridge their issuance to capital structure theories. So the author enhances the concept of Islamic CSR. Tying capital structure theories to CSR would also help developing Islamic finance theory as a unique social responsible framework.

The purpose of this paper is to investigate how the innovative firm’s proprietary information has an impact on its debt financing preference. This study also examines the impact of industry-level competition on the debt financing orders and investigates how two exogenous shocks impacted on innovative firms’ financing policies.

This paper uses the three types of debt data, including bonds, private debt placements and bank loans and patent application data, in the USA from 1987–2008. The number of patents applications and industry-level competition are used as proxies for a firm’s innovation and industry-level sensitivity. In addition, to minimize endogenous concern, this study uses the propensity score matching analysis and difference-in-differences.

The patents are the primary determinants for innovative firms to choose the debt types. The paper shows that innovative firms have the debt preference order – public debt, private placement and bank loans. However, as competition increases, innovative firms devise the order reverse. Finally, the paper provides evidence that the American Inventor’s Protection Act (AIPA) and the tech bubble crash made investors depend more on firms with more patents.

This paper is the first to study the impact of the AIPA on innovative firms’ financial policies using the propensity score matching analysis. The findings imply that both patents and industry-level competition are important factors to understand the capital structures for innovative firms.

This paper analyzes the impact of economic downturns on the revenue and expense sides of city financing for the period 2003 to 2009 using a convenience sample of the audited end of year financial reports for thirty midsized US cities. The analysis focuses on whether and how quickly and how extensively revenue and spending directions from past years are altered by recessions. A seven year series of Comprehensive Annual Financial Report (CAFR) data serves to explore whether citiesʼ revenues and spending, especially the traditional property tax and core functions such as public safety and infrastructure withstood the brief 2001 and the persistent 2007 recessions? The findings point to consumption (spending) over stability (revenue minus expense) for the recession of 2007, particularly in 2008 and 2009.

COVID-19 pandemic was a health crisis that plunged the world into economic turmoil due to its resultant national lockdowns across economies which brought business and market activities to a standstill. In order to adapt to ensuing restrictions owing to the pandemic, forge ahead in a new way of living, work and interactions with one another (new normal), digitizing business and market operations is considered a necessary option. Sukuk is an essential Islamic capital market product whose operations involve multiple parties/intermediaries alongside some technical financial, administrative and legal/shariah processes. On this note, this chapter aims to study and examine the need for digitizing and automating sukuk operations and related activities to pave way for innovation, development and better continuity of sukuk market. In conducting the study, a review of literature approach is employed where relevant works on sukuk and fintech were examined. Using content analysis, the chapter explored digitization of sukuk in the Islamic capital market via fintech and blockchain and associated benefits, including peculiar challenges therein. An interview was also conducted to better understand the Wethaq case study. The chapter reveals that digitizing sukuk issuance adds value to sukuk and remedies certain inadequacies associated with sukuk transactions; can increase transparency of underlying sukuk assets and cash flows and can reduce costs due to lesser number of intermediaries. Digitization is the future of sukuk issuance and will promote sukuk well through the COVID-19 crisis and beyond.

Green sukuk is a tool to finance climate change which has garnered considerable attention. However, having only recently come into existence has its own set of challenges for this tool that require immediate identification and government intervention to intensify its growth. This study aims to explore the challenges encountered by green sukuk issuers and the structure of a reconciled green sukuk issuance framework to speed up the market’s growth with the right interventions.

The study engaged a qualitative approach via multiple case study interviews with green sukuk issuers and used expert views for data triangulation to generate the findings. A total of four green sukuk issuers participated in the interviews, and for data triangulation purposes, four expert’s opinions and views were considered. The thematic analysis technique is used to report the findings.

It was revealed that amongst the challenges encountered in the green sukuk market are shoddy green taxonomy, difficulty in identifying green assets, it is time-consuming and costly, no compelling benefits and exposure to higher-risk profiles.

This study may be influenced by observer error and observer bias. However, the researchers have taken cautious steps to overcome these issues by following strict case study methodology procedures and triangulating the qualitative research findings with views from green sukuk experts. These interventions increased the rigour and trustworthiness of the results.

This study is amongst the pioneer in Malaysia, exploring challenges in the green sukuk market. The results are relevant to governments, regulators, institutions and central banks to structure the right interventions to counter the challenges. Greater government involvement is required to strengthen the green sukuk market and to spearhead the green agenda.