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This paper aims to examine the effectiveness of monetary policy on bank loans in Egypt using generalized method of moments (GMM) model. Also, it investigates the impact of bank level variables, namely, total assets, liquidity, capital and income on bank loans. It develops the equation of loans, which is introduced by Ehrmann et al. (2002) using bank level variables such as income and the interaction between income and interest rate.

This paper examines the impact of monetary policy shocks on bank loans in Egypt by applying the GMM technique and panel data from 1996 to 2014.

The results reveal that real interest rate has a significant impact on bank loans, which indicates that the bank lending channel is effective in Egypt. Furthermore, the bank level variables, namely, banks’ size, liquidity and income have significant effects on bank loans in Egypt, which sustains the heterogeneous effect of monetary policy on bank loans. Therefore, the Central Bank of Egypt (CBE) can adjust interest rate to influence the bank loans and total demand.

It does not examine the effect of monetary policy on small and large banks in Egypt.

The policy implications from this paper indicate that the monetary authority in Egypt should adjust interest rate to stabilize the bank loan supply. By stabilizing the bank loans, the monetary authority is able to stabilize investment, consumption and total demand.

The relevance of bank lending channel indicates that the role of commercial banks is very important in transmitting monetary policy shocks to the real sector.

It is important for the CBE, banks and people because it shows the effectiveness of bank lending channel and the effect of global financial crisis on the Egyptian economy.

This study aims to examine the effects of institutions on private investment (PI) using panel data analysis, where the sample countries consist of 100 countries around the world and the time period is covering from 2007 to 2016. The system generalized method of moments (GMM) estimator, introduced by Arellano and Bond (1991) and further developed by Blundell and Bond (1998) is used to analyze the data sets.

This study uses the panel data approach to estimate the empirical model due to the panel nature of the data. In particular, due to the presence of lagged dependent variables and the ability to capture individual country-specific effects, the system GMM estimator, introduced by Arellano and Bond (1991) and further developed by Blundell and Bond (1998), is adopted to analyze the roles of institutions in PI. The system GMM is developed specifically to solve the problems of weak instruments and persistency (Blundell and Bond, 1998). Jointly, they suggest to adopt additional moment conditions where lagged difference of the dependent variable is orthogonal to the level form of the disturbances. The system GMM estimator is able to combine the moment conditions for the different models, as well as the level model, thereby (is capable of) generate consistent and efficient parameters. Due to the dynamic nature of the data, this study uses one-step and two-step system GMM to investigate the roles of institutions in PI.

The empirical results based on the two-step system GMM demonstrate that the quality of institutions plays an important role in stimulating PI. The finding is reinforced by the analysis of the institutional sub-components’ effects on PI.

This study is unique as its measurement of institutions is multi-dimensional (including law and order, rules and regulation, government stability, bureaucratic quality, control of corruption, socio-economic condition, etc.), and hence are more comprehensive. Second, it is different than the previous studies as its sample of countries includes both democracies and non-democracies, as well as both developed and non-developed economies in which policy implications are widely acceptable. Third, this study contributes to the policymakers especially those in the debt-ridden economies where governments are budget-tightening (limited capacity for public investment), as to which practical direction should be focused on so as to attract PI and eventually sustainable growth can take place.

The purpose of this paper is to examine the relevance of the bank lending channel (BLC) of monetary policy and the bank efficiency in Egypt.

This paper examines the effectiveness of bank lending channel using generalized method of moments GMM model during the period from 1996 to 2014. Also, it uses stochastic frontier approach (SFA) to examine the bank efficiency in Egypt.

This study supports the relevance of the BLC using panel data. Moreover, applying SFA, this paper computes cost efficiency taking account of both time and country effects directly. The finding suggests that banks with low inflation and high GDP tend to perform more efficiently.

The limitation of the study is examining one country only.

The finding signals that the Central Bank of Egypt (CBE) should adjust interest rate in order to stabilize the bank loan supply.

It is important for the CBE and Egyptian banks because it highlights the importance of BLC.

It examines one channel of monetary policy and bank efficiency in Egypt.

The study aims to examine the non-linear relationship between self-employment and economic growth (growth) in the context of developing countries.

Data from a sample of 83 developing countries covering a period 2002–2015 is used. The empirical analysis is based on the dynamic panel data estimation, and the results are estimated using the two-step system GMM technique. Non-linearity between self-employment and growth is validated using Sasabuchi (1980) and Lind and Mehlum (2010) (SLM) test.

The empirical analysis suggests a non-linear and a U-shaped relationship between self-employment and growth, confirmed by the SLM test. The threshold levels for total self-employment, female self-employment and male self-employment are 57.49%, 58.86 and 55.81%. The findings are also robust to alternate estimation technique and alternate measure of the dependent variable.

Policy implications of the findings include the need for policies that foster and channel self-employment properly as the higher level of self-employment is found to benefit growth.

This study is the first attempt to examine the empirical relationship between self-employment and growth. As such, it makes a novel contribution to the extant literature on the relationship between the two variables.

The purpose of this paper is twofold: first, to investigate the relationship between ownership concentration and firm performance and, second, to determine the moderating role of investor protection quality on the ownership concentration-performance relationship from a dynamic perspective.

The study is based on secondary financial data of 236 Indian manufacturing firms obtained from CAPITALINE database, pertaining to a period of five years. This study uses ordinary least squares, fixed effects and two-step generalized method of moments (GMM) techniques to arrive at results.

Results of the study confirm the inverted U-shaped relationship between ownership concentration and firm performance and a significant positive effect of investor protection quality on firm performance. With regard to moderating role of investor protection quality on ownership concentration–performance relationship, results show that investor protection quality would significantly moderate the ownership concentration–performance relationship.

The study is a pioneer in proving that an inverted U-shaped relationship exists between ownership concentration and firm performance in an emerging market in general and India in particular. This study extends the corporate governance literature by examining ownership concentration–performance relationship in a dynamic perspective and in an unexplored market.

This paper investigates the two-way relationship between foreign direct investment (FDI) inflows and higher education across 36 Organisation for Economic Co-operation and Development (OECD) countries for 1998–2019 periods. To demonstrate this relationship, the authors take into account the total number of graduates as well as the number of graduates from different fields. Accordingly, the authors gathered graduates in four groups which are education, social sciences, technical sciences (tech) and health. In addition to investigating two-way relationship between FDI and graduates, the authors also examined the contribution of primary and secondary level education to FDI.

The authors use two models to investigate the bidirectional relationship between FDI inflows and graduates from four fields. In the first model, the dependent variable is FDI inflows, and in the second model, graduates from each field are the dependent variable. To investigate the dual relationship, the authors employ ordinary least squares (OLS) and two-step system generalized method of moments (GMM) developed by Arellano Bover (1995) and Blundell Bond (1998).

For the first model, the results show that secondary level and higher education have a positive impact on FDI. In terms of graduates by fields, it is seen that education and health graduates contributed the most to FDI. For the second model in which the authors analysed the effect of FDI on total graduates and graduates from different fields, the authors find that FDI positively affects the number of graduates from all fields, and the strongest effect is on graduates from the social science field.

Based on the results, the authors can say that well-educated people promote FDI inflows to OECD countries, and FDI is also a driving force in raising highly educated people. So, the authors think that the results will help design higher education policies in accordance with FDI and higher education connection.

To the best of the authors’ knowledge, this paper is the first to examine the impact of FDI inflows on graduates by fields and also to investigate the impact of graduates by fields on FDI.

The purpose of this paper is to examine the impact of the Yemen War on banking services (deposits and loans) at the aggregate and at the level of conventional and Islamic banks in GCC countries. The author also tests hypotheses of direct and indirect impacts of the Yemen War on bank services.

The sample comprises a total of 70 banks (45 conventional and 25 Islamic banks) over the period 2000–2018. The static and dynamic panel generalized methods of moments (GMM) estimation techniques are applied.

Empirical results indicate that the Yemen War has a significant negative direct impact on deposits and loans of GCC banks. The results lend support for the direct channel hypothesis, but not for the indirect channel hypothesis. The negative direct impact is most prominent on banks in GCC countries that are directly involved in the Yemen War, although the war has an asymmetric effect on conventional and Islamic banks, the former being more vulnerable. The overall conclusion is that the Yemen War exerts an asymmetric impact on the GCC region, across both banks and countries.

These results are a warning to policymakers to be cautious when formulating a strategy for macroeconomic stability.

It is widely recognized that the Yemen War has a significant impact on the economies of the GCC countries. However, the possible impact of the war on GCC bank services has not so far been subjected to robust empirical analysis. This paper therefore seeks to fill this gap by providing an in-depth quantitative analysis of this impact. It distinguishes between direct and indirect channels through which the Yemen War may affect bank services. It is also the first to examine the asymmetric impact of the Yemen War on the GCC region, across both banks (Islamic and conventional banks) and countries (whether or not involved in the war). The study uses both static panel and dynamic panel GMM estimation techniques to analyze the data.

The purpose of this paper is to establish the empirical link between real exchange rate (RER) undervaluation and sectoral growth in South Africa between 1984 and 2014.

The study employs a dynamic panel data approach estimated by the system generalised method of moments technique in a bid to control for endogeneity.

The authors find a significant positive impact of undervaluation on sectoral growth which increases with capital accumulation. Also, the authors confirm that undervaluation promotes sectoral growth up to a point where further increases in undervaluation retards growth.

The results confirm the importance of policies that keep the domestic currency weaker to foster sectoral growth.

The originality of this paper lies in establishing the impact of exchange rate undervaluation on growth at a sector level in the context of South Africa using a dynamic panel data approach.

The purpose of this study is to explain the rapid growth of urban residents' sugar consumption in China from the perspective of habit formation.

Using the provincial panel data of Chinese urban households from 1995 to 2012, this study uses the two-step System Generalized Moment Method (GMM) to test the habit formation effect on residents' sugar expenditure in urban China. We also use system GMM and the recursive estimated method to explore the changes of the habit formation coefficients in different years.

We find a significant habit formation effect on overall residents' sugar expenditure and different types of sugary foods expenditure. The habit formation effect on total residents' sugar expenditure and different types of sugary foods is decreasing over the years. The patterns of the changes of the habit formation effect on different types of sugar foods are slightly different.

Due to data limitations, we are not able to do household-level analysis and to examine the heterogeneity of the habit formation effect.

This is the first study that examines changes in the habit formation effect on residents' sugar expenditure in urban China. Our findings provide a reasonable explanation for the rapid growth of residents' sugar consumption in urban China. The result helps to formulate targeted policies for future interventions to control the growth of sugar consumption.

This study aims to estimate the regulatory compliance impact on the risk of banks operating in Pakistan. The direct and indirect regulatory compliance of conventional banks with Islamic operations in terms of risk from 2009 to 2017 are estimated.

This study used a two-step system generalized method of moment (GMM) (dynamic panel) to examine the relationship between regulatory compliance, Islamic operations and the bank risk and tested the direct and indirect impacts of regulatory compliance and Islamic operations on the said risk.

Regulatory compliance has a significant and positive relation with bank risk, whereas the Islamic bank operations have a significant and negative relationship. Thus, regulatory compliance creates pressure on banks, but the Islamic operations of conventional banks reduce this pressure in direct and indirect ways.

Per the policy of State Bank of Pakistan (SBP), banks shall pursue Islamic operations to reduce regulatory pressure and widen their scope. The results suggest that regulatory compliance creates pressure on bank risk irrespective of the type of the bank. Thus, the SBP should seek the appropriate measure for this occurrence.

To the best of the authors’ knowledge, this work is the very first study that has considered the unique Islamic operations of conventional banks and estimated its impact on risk. Moreover, this work examined two types of bank risk instead of employing stability and market measure. This research is also the first to implement a two-step system GMM for the methodology.