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Gross domestic product (GDP) is an important indicator to measure a country's economic development. If the future development trend of a country's GDP can be accurately predicted, it will have a positive effect on the formulation and implementation of the country's future economic development policies. In order to explore the future development trend of China's GDP, the purpose of this paper is to establish a new grey forecasting model with time power term to forecast GDP.

Firstly, the shortcomings of the traditional grey prediction model with time power term are found out through analysis, and then the generalized grey prediction model with time power term is established (abbreviated as PTGM (1,1, α) model). Secondly, the PTGM (1,1, α) model is improved by linear interpolation method, and the optimized PTGM (1,1, α) model is established (abbreviated as OPTGM (1,1, α) model), and the parameters of the OPTGM (1,1, α) model are solved by the quantum genetic algorithm. Thirdly, the advantage of the OPTGM (1,1, α) model over the traditional grey models is illustrated by two real cases. Finally the OPTGM (1,1, α) model is used to predict China's GDP from 2020 to 2029.

The OPTGM (1,1, α) model is more suitable for predicting China's GDP than other grey prediction models.

A new grey prediction model with time power term is proposed.

A new method for forecasting wind turbine capacity of China is proposed through grey modelling technique.

First of all, the concepts of discrete grey model are introduced into the NGBM(1,1) model to reduce the discretization error from the differential equation to its discrete forms. Then incorporating the conformable fractional accumulation into the discrete NGBM(1,1) model is carried out to further improve the predictive performance. Finally, in order to effectively seek the emerging coefficients, namely, fractional order and nonlinear coefficient, the whale optimization algorithm (WOA) is employed to determine the emerging coefficients.

The empirical results show that the newly proposed model has a better prediction performance compared to benchmark models; the wind turbine capacity from 2019 to 2021 is expected to reach 275954.42 Megawatts in 2021. According to the forecasts, policy suggestions are provided for policy-makers.

By combing the fractional accumulation and the concepts of discrete grey model, a new method to improve the prediction performance of the NGBM(1,1) model is proposed. The newly proposed model is firstly applied to predict wind turbine capacity of China.

In the current literature, there is little systematic research on the relationship among adjustment of the income distribution, change in economic structure and improvement of macroeconomic efficiency.

This paper expands Marx's reproduction schema into the “Marx–Sraffa” three-department structure table comprising fixed capital, general means of production and means of consumption and employs China's input–output table from 1987 to 2015 to portray the relationship between income distribution and macroeconomic efficiency under investment-driven growth.

This paper calculates the wage–profit curve of China's economy and evaluates the space of macroeconomic efficiency improvement in China based on the deviation between actual and potential income distribution structure.

The results show that there is a downward trend of the profit rate, which meets Marx's theoretical prediction, and the decline in the profit rate is mainly attributed to an increase in the organic composition of capital arising from the rapid growth of fixed capital investment under extended growth. The analysis of macroeconomic efficiency shows that the space for improving macroeconomic efficiency is extremely limited under traditional growth pattern and that China must transform its economic development pattern and foster new economic growth drivers.

This chapter investigates the presence of a difference in the systemic risk level between Islamic and conventional banks in Bangladesh. The authors compare systemic resilience of three types of banks: fully fledged Islamic banks, purely conventional banks (CB), and CB with Islamic windows. The authors use the market-based systemic risk measures of marginal expected shortfall and systemic risk to identify which type is more vulnerable to a systemic event. The authors also use ΔCoVaR to identify which type contributes more to a systemic event. Using a sample of observations on 27 publicly traded banks operating over the 2005–2014 period, the authors find that CB is the least resilient sector to a systemic event, and is the one that has the highest contribution to systemic risk during crisis times.

The most crucial challenge facing Islamic Financial Institutions (IFIs) is the full compliance of their activities with shari'ah principles. The complexity of IFIs requires Otoritas Jasa Keuangan (OJK, Indonesian Financial Services Authority) to adopt a good shari'ah governance framework to address shari'ah risks of Islamic banking and financial institutions (IBFIs). However, the current shari'ah governance structure in Indonesia is far from ideal compared to the international best practice. This chapter proposes a new shari'ah governance framework by involving shari'ah supervisory board authority (Otoritas Dewan Pengawas Syariah) under the commissioners of OJK to oversight, regulate, and supervise the shari'ah matters for IBFIs in Indonesia. The chapter discusses the challenges in adopting this new framework. The chapter concludes that the current shortcomings of the proper shari'ah governance framework for shari'ah supervision and regulation requires a new shari'ah board authority under the commissioners of OJK who has full authority over shari'ah matters.

The majority of economic crises impact the wealth of people which in turn affect their financial capacity to purchase residential properties. However, the home financing method may also have an impact on the behaviour of house prices. This chapter intends to test argued resilience of Islamic finance to situations of financial crisis by using an Islamic home financing product called Enhanced Musharakah Mutanaqisah (EMM) which was proposed by Asadov and Ibrahim (2018) as an example and compare its performance to conventional mortgage. Two different models of home financing, conventional and EMM based ones are developed with the former reflecting basic features of conventional mortgage and the latter using rental rates and house price indices for product pricing. Both models are compared using aggregate data for the US housing market for the past 30 years in order to demonstrate the resilience of the EMM model. The findings of the study show that EMM is more flexible in terms of reflecting real situations in both the housing market and aggregate economy as compared to the conventional model. Its pricing is more accommodating particularly during times of economic downturns, and it can potentially provide the solution to numerous mortgage defaults arising from such conditions. Despite the proposed models being tested using data only from the United States, the analysis can be generalized for other countries as well. The implementation of the EMM model, as an example of Shariah-based Islamic financial product, is expected to bring fairness and justice in the relationship between financial institutions and its clients. To the best of our knowledge, this is the first attempt of simulating a Musharakah Mutanaqisah based home financing using both actual rental rates and house prices for product pricing.

We revisit the performance of seasoned equity offerings (SEOs) in Japan against the backdrop of the Tokyo Stock Exchange's historical nine-year run up from 1980 to 1989, with the time period chosen for the purpose of comparison to previous studies. We analyze the long-run performance of 427 issues or 387 Japanese firms that conducted SEOs from 1980–1990. Initial results indicate that SEOs firms underperform standard benchmarks over subsequent 3- and 5-year periods after issuing. The results from value-weighted portfolios, however, show that SEOs outperform three out of five benchmarks. The results from the Fama-French three factor model show that all of the 16 SEO portfolios (formed by size and book-to-market quartiles) have positively significant intercepts, and most loadings are significant. The size loadings from time series three-factor model of value-weighted portfolio show that SEO sample firm returns exhibit characteristics of large firms as opposed to those of small firms under equally weighted portfolios. Our results support the arguments that (1) the returns of issuing firms are not idiosyncratic, but rather covary with the common factors of nonissuing firms and that (2) the underperformance of SEOs is sensitive to the precise test specifications.

The purpose of this chapter is to examine how the broader characteristics of Pakistan’s public policies reflect Islamic law, how the financial crime rate has been affected by policy rules, and if the policies do indeed reflect Islamic law, how do they help the process?

It is a qualitative exploratory study where structured interviews have been conducted with experts and practitioners in Islamic Ideological Council and Parliament.

The findings constitute a threadbare discussion of financial crimes which policy takes into account under Islamic law; along with the relevant ramifications and recommendations.

It is suggested that the laws of Pakistan be studied taking Shariah density into consideration. Future research can focus on implementation of laws and policies as a factor improving governance.

This study is pertinent because financial crimes in light of Islamic law and public policy are not discussed in detail in previous research.

The objective of the chapter is to discuss the role of wa’d (promise) to mitigate risk in different Islamic banking products. The chapter will illustrate the element of wa’d in different Islamic banking products in Malaysia.

The study has adopted the document review method to get information on different banking products. Moreover, it conducted semi-structured interviews with bankers to get in-depth information.

The study finds out that wa’d plays a vital role in structuring several products including retail products, trade financing products, and treasury products. Along with the unilateral wa’d there is a usage of double wa’d (wa’dan) in some product structures. In most of the products, wa’d is included as a risk mitigation instrument along with other major underlying Shari’ah contracts. Some Shari’ah issues are involved with these products namely the Shari’ah rulings related to wa’dan, “form over substance,” etc.

This is an in-depth field study which adds new knowledge on wa’d-based products. The experience of Malaysia might be a lesson for other countries to minimize risk in their Islamic banking products.

This research examines the bidirectional relationship between Environmental, Social and Governance (ESG) voluntary disclosure engagement and financial performance of a panel of banks extracted from the Gulf Cooperation Council (GCC) banking industry, covering a period of 11 years (2007–2017). We find that GCC banks, and in particular Islamic banks, voluntarily disclose low level of information related to ESG activities. Using system GMM methodology, we provide evidence that ESG disclosure adversely affects bank performance, regardless of the bank performance measure used. Thus spending on ESG turns out to be costly for GCC banks, a result that is consistent with the agency problem, where managers are likely to reduce long-term expenditures related to ESG actions in order to boost short-term profits. As managers' compensations often relate to short-term financial performance, managers tend to reduce their spending on ESG activities. Furthermore, contrary to previous research, our results indicate that the relationship between ESG and financial performance is bidirectional and dynamic. We also find evidence that ESG disclosure positively affects performance only for well-diversified banks. Finally, although conventional banks disclose significantly more information related to ESG activities, we do not find any significant differences between the two types of banks in the relationship between ESG disclosure and performance. Our suggestion is that these results are consistent with what we call “clientele” and “gravitation” effects, where a customer tends to choose to deal with the bank that reflects his religious beliefs (gravitation effect) and with the bank that provides him with the best services (clientele effect) regardless of its ESG disclosure.