Search results

A series of environmental pollution issues and economic improvement go hand in hand. Since financial listed companies contribute significantly to the national economic development, China has been paying increasing attention to the development of the financial industry. The purpose of this paper is to explore the relationship among the development level of the financial industry, over-investment of the listed companies and environmental pollution through a macro-level and micro-level mechanism.

In this study, we adopt the 2011–2017 panel data of listed companies in the manufacturing industry to study the impacts of the financial industry on environmental pollution. Meanwhile, the paper uses a mediator model, and over-investment is introduced to the econometric model as a mediator to explore whether the development of the financial industry can affect the environmental pollution through over-investment.

A U-shaped relationship between financial industry development and environmental pollution was observed through a macro-perspective; additionally, over-investment of the listed companies significantly increased environmental pollution, along with a significant mediator effect of over-investment. A significant positive correlation was observed between financial industry development and environmental pollution in the East region of China, while the correlation was negative in the Central and West regions. The mitigation effect of financial industry development on environmental pollution was more significant in the low-end manufacturing industry, compared with basic and high-end manufacturing industries.

Strengthening the incentives and supervision toward company managers, reducing over-investment behaviors, encouraging suitable financial industry development to reduce financial risks, improving environmental conservation laws and regulations, and implementing stringent penalty mechanisms for environmental conservation are necessary.

This paper aims to examine how financial development affects the growth of industries that are more dependent on external finance, demystifying the roles played by the banks, stock and bond markets.

The authors apply panel fixed-effects and dynamic panel generalized methods of moments on disaggregated industry-level data of the Indian manufacturing sector for the period of 2001-2015 to examine the relationship between financial development, banking market structure and economic growth.

The study finds that financial development has a significant impact on the growth process by reducing cost of external finance. Among the three sources of finance, the study finds that while the banking sector has been the most preferred source of external finance, increasing concentration and selective disbursement of credit have continued to dent the prospects of the industry. This paradoxical result explains the dismal performance of the Indian manufacturing sector.

The effect of financial development (encompassing banking market structure) on economic growth has received sparing attention. Related literature is unclear regarding the impact of banking market structure on the growth process in the context of emerging economies. The authors attempt to fill this important gap in the literature. Moreover, they add novelty to the literature by calculating the external dependence at the firm level, diverging from using US industry as a proxy for calculation of external dependence.

This study aims to investigate the influence of the financial system (financial development and financial structure) on firms' innovation efficiency in China.

This study employs country level data of capital markets and financial institutions along with innovation data from 18 high-tech industries in China spanning the 2009–2016 period, and the stochastic frontier analysis (SFA) is applied to explore how financial development and financial structure affect the innovation efficiency of these industries.

Results show that financial development influences firms' innovation efficiency positively and the capital-market-based financial structure has a positive impact on innovation efficiency of high-tech industries. Furthermore, when the high-tech industries are grouped into five sub-industries, the results show that financial structure had different effects on the innovation efficiency in each sub-industry.

This work contributes to the empirical research on considering the influential factors of innovation efficiency from the perspective of financial system. This paper also extends the existing literature by the different influences of financial system on innovation efficiency in each sub-industry of Chinese high-tech industries.

This study examines the extent to which regulatory policy uncertainty, macroeconomic risk, banking industry innovations, etc. influence variability in financial sector development among emerging economies in sub-Sahara Africa (SSA).

Data for the empirical inquiry were compiled from a sample of 25 economies from the subregion from 2010 to 2020. Empirical estimates examining the relationships noted above were carried out using the two-step system generalized method of moments estimation technique.

Results the empirical estimates suggest that regulatory policy uncertainty and macroeconomic risk adversely influence or constrain financial sector development among the economies examined in the study. Banking industry innovations on the other hand is found to positively influence the development of the financial sector in these economies. Furthermore, moderating empirical analysis suggests that effective governance positively moderates the relationship between banking industry innovations and financial development among economies in the subregion.

This study’s approach to the mechanics of financial development among economies in SSA is designed to offer different perspectives to those found in the existing literature on financial development in three fundamental ways. First, although the verification of the role of banking industry innovations in financial development may not be new, it is important to point out that the approach used in this study is based on an index for innovations with different constituents or principal components in its construction; making the variable significantly different from what has been examined in the literature. In addition, the review of regulatory policy uncertainty and macroeconomic risk (both variables are multifaceted constructs using the principal component analysis procedure) further brings into this study’s analysis, a different approach to examining conditions influencing variability in financial development among developing economies.

The purpose of this paper is to empirically investigate the effect of rural finance on industrial integration of rural primary, secondary and tertiary industries.

Using household-level data collected by Third National Agricultural Census and the provincial-level data collected from Wind database, the authors estimated the impacts of rural finance on rural industrial integration using Logit and Probit regression models. Further, the authors examined how the effect of rural finance varies with the age and education of householders, and with household and provincial characteristics by investigating the moderating effect.

The findings show that rural finance has a significant and positive effect on promoting farmers’ participation in new agricultural management organizations. This effect is more obvious in families whose householders are 40–50 years old, or families that have more educated members. This is because the middle-aged or educated people are more willing to accept and take part in industrial integration. The results further indicate that rural finance has a greater effect on industrial integration in provinces with a high degree of marketization, and in provinces with the high output value of industries and services in agricultural intermediate input.

The authors investigated the impact of rural finance on rural industrial integration empirically, and this topic is rarely covered before. The findings of this study also enrich the literature on financial development and economic growth as well as provide policy suggestions on how to promote rural industrial integration.

The level of financial development is a key factor influencing long-term economic growth. A high level of financial development allows for the effective diversification of risk and allocation of capital, which, in the long run, improves the growth prospects of an economy. Schumpeter (1911) was one of the first to highlight the importance of financial development as a determinant of economic growth. Recent empirical work supports this relationship (see Beck & Levine, 2002; Levine, 2004; Mishkin, 2007). For example, Levine (2004) summarizes the empirical evidence on financial development and economic growth and states that “the level of financial development is a good predictor of future rates of economic growth, capital accumulation and technological change” (Levine, 1997, p. 689).² Thus, stock and forward markets spread knowledge about market expectations of factors and changes that are important for economic development (Lachmann, 1978).

The purpose of this paper is to elaborate and elucidate the experience of Malaysia in developing the Islamic financial system by explaining the different developments and methods that has been deployed since its inception in 1963 until now and how best these experience can be used in developing Islamic financial industry.

The objectives are achieved by analyzing the different materials gathered through library research. The sources of the materials includes books, statistics, reports, presentations and conference papers. The scope of the study is limited to the Malaysian financial industry development.

The paper found that Malaysia has a very encouraging history of Islamic banking and has big potential to succeed in this area. However, some areas need to be improved, as suggested in the paper. It also found that the Malaysian model in developing Islamic financial industry can be taken as a benchmark in the development of such industry in other countries.

The originality of the paper lies in the in‐depth analysis of the different steps of development that Malaysia has gone through in the development of Islamic financial market, including banking, capital market and Takaful.

At present, financial agglomeration tendency in domestic and foreign countries is increasingly evident. Therefore, from a comparative perspective, this paper aims to assess and predict the financial agglomeration degree in central five cities.

According to the diversity of evaluating indexes and the uncertainty of financial agglomeration, this paper constructs a set of indexes of evaluating the financial agglomeration degree, comprehensively evaluates the financial agglomeration degree of the five cities – Wuhan, Changsha, Zhengzhou, Nanchang and Hefei – in China's middle region from 2001 to 2010 by using the multiple dimension grey fuzzy decision-making model, and predicts their development tendency by using the GM (1, 1, β) model.

The results show that the multiple dimension grey fuzzy decision-making pattern cannot only be used to determine the weights of evaluating indexes, but also get the fuzzy partition and ranking order of the financial agglomeration in central five cities. The grey prediction results can objectively reflect the development tendency of the financial agglomeration in central five cities.

From the results, it is necessary for any competitive city to clarify their relative strengths and weaknesses in order for the accurate location and scientific development, and it also provides a reference for the government decision-making.

The paper succeeds in using the multiple dimension grey fuzzy decision-making model to measure the financial agglomeration degree of the five central cities and the grey prediction model to predict future trends.

Achieving sustainable development goals (SDGs) demands mobilising finance and aligning it with elements of sustainability. This study, thus, aims to investigate the impact of financial development of an economy on the achievement of SDGs.

The authors analyse a sample of 35 Asian countries based on their SDG trends and representative SDG indicators. An ordered probit model is employed for analysing the impact of financial development on the SDG trend. Subsequently, pairwise Granger causality test is employed for investigating the causality between the SDG and the financial development.

The findings indicate that financial development positively impacts the progress towards SDG achievement in the areas: (1) gender equality, (2) economic growth, (3) industry, innovation and infrastructure and (4) sustainable cities and communities; and adversely impacts the climate action. The causality test indicates a bidirectional causality for financial development and industry, infrastructure and innovation, financial development and sustainable cities and communities and financial development and climate action, and unidirectional causality from gender equality to financial development.

The findings have implications for the government of a nation as well as the private businesses. The goals allow businesses to implement well-articulated strategies which pay attention to the SDGs.

The novelty of the paper is that the authors provide evidence supporting the view that focusing on building a resilient and robust financial system is of importance for the achievement of SDGs.

This study aims to analyze Islamic financial institutions’ (IFIs) current financial engineering and product development procedures.

The paper is quantitative in nature and the survey questionnaire were collected from managers and IF experts working for Islamic Banks, Takaful and other IFIs in Turkey, Malaysia and UAE. Two-stage structural equation modeling was used to test the hypothesis.

The findings highlighted that the Shari’ah Supervisory Board, Strategy and Planning of IFIs, Legal and Regulatory framework, pricing of a new product and financial performance positively impact the new product development (NPD) process. At the same time, Islamic values have no significant positive impact.

When generalizing the research results, data collection from the right departments was the main limitation of the current study. Future research may opt to collect data only from Product Development Departments.

The findings of this study will allow IFIs to reflect on their present methods, procedures and Shari’ah compliance framework for the NPD process.

Factors affecting the product development and financial engineering process are discussed in the literature. The findings of this study can be regarded as building blocks for future academic research on product development and financial engineering in Islamic finance.