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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.

This paper aims to empirically explore the nexus between Islamic finance and economic growth across Southeast Asia based on the perception of the endogenous growth model.

This paper applied the dynamic panel one-step system GMM as an optimum estimation approach to study the influence of Islamic finance on economic growth in Southeast Asia from 2013Q4 to 2019Q4. This paper used total Islamic financing as the major exogenous explanatory factor inside the endogenous growth model, whereas the gross domestic product was used as the measurement of economic growth. The sample consisted of all complete Islamic banks operating in Southeast Asia (Malaysia, Brunei Darussalam and Indonesia).

The findings demonstrated that Islamic finance is promoting economic growth in Southeast Asia, which reflects the weighty role of Islamic finance as an energetic contributor to economic growth.

This paper would enrich the literature by studying the nexus between Islamic finance and economic growth in Southeast Asia based on the perception of endogenous growth model, as the results of this paper assist as an attendant for financial scholars, decision-makers and policymakers to expand Islamic finance globally as an alternative funding source for the best involvement to economic growth.

Despite the existing studies on the nexus between Islamic finance and economic growth, this paper is the first that explores empirically the nexus between Islamic finance and economic growth in Southeast Asia based on the theoretical background of the endogenous growth model to obtain solid information on this nexus.

This paper aims to examine and compare the impact of foreign direct investment (FDI) inflows on bank deposits in aggregate as well as at the level of conventional and Islamic banks in Middle East and North Africa (MENA) countries. The study also tests hypotheses of direct and indirect impacts of FDI flow and FDI stock on bank deposits.

Static and dynamic panel generalized methods of moments (GMM) estimation techniques are applied to analyze a large data set of 491 commercial banks (422 conventional banks and 69 Islamic banks) across 18 MENA countries between 1993 and 2017 (12,275 year observations).

Empirical results indicate that inflowing FDI flow and FDI stock have a significant negative direct impact on deposits of MENA banks. The results lend support for the direct channel hypothesis for the effect of FDI on bank deposits and find no evidence in support of the indirect channel hypothesis. FDI inflows affect bank deposits directly via increased FDI-related excessive competition in the banking market. Deposits from conventional banks appear to be more affected than those from Islamic banks. The variation may due to the fact that Islamic banks have fewer multinational corporations (MNC) customers than conventional banks and therefore are less sensitive to fluctuations in FDI.

From this analysis, this study concludes that foreign investments have a higher productivity than local investments in MENA region. Attracting more FDI is aimed at increasing overall national productivity through competition. However, governments would be wise to enact such a policy to maximize benefits and minimize potential harm to local industry. Furthermore, FDI policy should encourage small to medium-size banks and firms (SMEs)’ participation and linkage with multinational banks and MNCs, while upgrading research and development institutions and innovation activities to help SMEs to benefit from potential spillovers from foreign presence in the industry. In addition, the linkage and connection between SMEs and foreign firms should be strengthened and promoted by government policy.

This study is the first of its kind to examine the effect of FDI inflows on bank deposits. It also provides an in-depth quantitative analysis of the impact of FDI flow and FDI stock, separately, on bank deposits for both conventional and Islamic banks. It distinguishes between direct and indirect channels through which FDI inflows may affect bank deposits. The study analyzes 25 years of panel data for 491 banks (12,275 year observations) and uses both static and dynamic panel GMM estimation techniques to analyze the data.

The purpose of this paper is to investigate the potential determinants of FDI, in developed and developing countries.

This paper investigates FDI determinants based on panel data analysis using static and dynamic modeling for 20 countries (11 developed and 9 developing), over the period 2004-2013. For static model estimations, Hausman (1978) test indicates the applicability of fixed effect/random effect, while generalized moments of methods (GMM) (dynamic model) is used to capture endogeneity and unobserved heterogeneity.

The outcome across different countries depicts diverse results. In developed countries, FDI seeks policy-related determinants (GDP growth, trade openness, and freedom index), and in developing country FDI showed positive association for economic determinants (gross fixed capital formulation (GFCF), trade openness, and efficiency variables).

The destination of FDI is limited to 20 countries in the present paper. The indicator of the institutional environment, namely economic freedom index, used in this paper has received some criticism in calculations.

The paper enlists recommendations for future FDI policies and may assist government in providing a tactical framework for skill development, thereby increasing manufacturing growth rate. The paper also throws light on vertical and horizontal capital inflows considering resource, strategy, and market-seeking FDI.

FDI may bring significant benefits by creating high-quality jobs, introducing modern production and management practices. It highlights how multinational corporations and government contribute to better working conditions in host countries.

The paper uncovers important features like macroeconomic variables, especially country-wise efficiency scores, policy variables, GFCF, and freedom index, for determining FDI inflows in 20 countries using panel data methods and provides a roadmap for developed and developing countries. The study highlights endogeneity and unobserved heteroscedasticity by applying GMM one- and two-step procedure.

This paper investigates and compares the impact of foreign direct investment (FDI) inflows (flow and stock) on bank off-balance sheet (OBS) activities in aggregate as well as at the level of conventional and Islamic banks in GCC countries. It also tests hypotheses of direct and indirect impacts of FDI flow and FDI stock on OBS activities.

This paper uses both static and dynamic panel generalized methods of moments (GMM) estimation techniques to analyze the data of 70 GCC banks (45 conventional and 25 Islamic banks) over the period 1995–2017.

Empirical results indicate that FDI flow and FDI stock have a significant negative direct impact on OBS activities of GCC banks. The results lend support for the direct channel hypothesis for the effect of FDI on OBS activities and find no evidence in support of the indirect channel hypothesis. OBS activities from conventional banks appear to be more affected than those from Islamic banks.

The results of this study are expected to trigger appropriate policy response from the central banks of the respective GCC countries as well as their governments.

It is widely recognized that FDI inflows are of great importance to the economic development of emerging and developing countries. However, their impact on bank OBS activities has so far not been subject to accurate empirical assessment. This paper aims to fill this gap by providing an in-depth quantitative analysis of the impact of FDI flow and FDI stock separately, on bank OBS activities for both conventional and Islamic banks in GCC countries. It distinguishes between direct and indirect channels through which FDI flow and FDI stock may affect OBS activities for banks as a whole and both conventional and Islamic banks separately. It also uses both static and dynamic panel GMM estimation techniques to analyze the data.

The purpose of this study is to investigate the effect of government expenditure on economic growth in 15 Economic Community of West African States (ECOWAS) countries over the period of 2005–2017. More precisely, this paper investigates whether institutional environment influences the effect of government spending on economic growth.

This study adopts the generalized method of moments-system method of estimation to address the problem of dynamic endogeneity inherent in the relationship. Similarly, unlike previous studies which assume that the disturbances of a panel model are cross-sectionally independent, we account for cross-section dependency and cross-country heterogeneity inherent in empirical modeling using Driscoll and Kraay's nonparametric covariance matrix estimator, adjusted for use with both balanced and unbalanced panels along with Monte Carlo simulations.

The authors find that though, government spending has a positive impact on economic growth but the level of institutional quality adversely affect that positive impact. This suggests that the institutional environment in ECOWAS countries is a drag and not a push factor for government fiscal operations and/policies. Thus, the results provide empirical evidence that there is a conditional relationship between government spending and economic growth in African countries. That is, the effect of government spending on economic growth is dependent on the quality of institutions. Lastly, these findings suggest that in order for government spending to contribute to economic growth, African countries must develop a strong institutional environment.

Unlike previous time series studies for African countries which concentrated on the two variable case, we include institutional quality as a third variable to underline the potential importance of institutional quality for economic growth in ECOWAS countries.

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.

Although various studies have investigated the corporate political activity (CPA), however, there is no definite report which shows its effect on the public policy outcome or the organization’s performance. Hence, the political effects of the corporate social responsibility (CSR) have garnered a lot of recent interest since the CSR included activities which have an intended or an unintended effect on the CPA–corporate financial performance (CFP) link. We use data made available by the 1995 Lobbying Disclosure Act, while the CSR indices were gathered from the Fortune Magazine’s most admired companies from 2007 to 2016. We analyzed the relationship between the organization’s CPA and CFP, with the help of the dynamic panel data system generalized method of moment (GMM) estimation. Their results showed that the CPA did not improve the firm’s performance. Moreover, CPA and CSR are substitute in affecting financial performance, because they are essentially exclusive investments that require resources but do not have synergies.

The purpose of this paper is to investigate and compare the impact of FDI inflows on bank loans in aggregate as well as at the level of conventional and Islamic banks in GCC countries. The paper also tests hypotheses of direct and indirect impacts of FDI inflow and FDI stock on bank loans.

The sample comprises a total of 70 banks (45 conventional and 25 Islamic banks). The period under consideration is 1995–2017. Static panel and dynamic panel GMM estimation techniques are applied.

Empirical results indicate that inflowing FDI and FDI stock have a significant negative direct impact on loans of GCC banks. The results lend support to the direct channel hypothesis for the effect of FDI on bank loans and find no evidence in support of the indirect channel hypothesis. FDI inflows affect bank loans directly via increased FDI-related liquidity, business activity or excessive competition in the banking market; they are not channeled through macro variables. Loans from conventional banks appear to be more affected than those from Islamic banks.

Given the attractiveness of the GCC economies to foreign investment, the potential volatility of investment-induced instability to the financial system in these economies should be on the radar of the central banks. Attracting more FDI is expected to increase overall national productivity through competition. However, government would be wise to enact a policy to maximize benefits and minimize potential harm to local industry. In addition, to achieve the goal of the new economic model, in turning the GCC economies into high-income and knowledge-driven economies by 2030, enhancement of efficiency and the quality of the workforce will contribute to creating productivity-driven economies.

It is widely recognized that FDI inflows are of great importance to the financial performance development of emerging and developing countries. However, their impact on bank loans has so far not been subject to accurate empirical assessment. This paper aims to fill this gap by providing an in-depth quantitative analysis of the impact of FDI inflow and FDI stock, separately, on bank loans for both conventional and Islamic banks in GCC countries. It distinguishes between direct and indirect channels through which FDI inflows may affect bank loans. The study uses both static and dynamic panel GMM estimation techniques to analyze the data.

The objective of this research is to examine empirically the effects of digital maturity (DM) on the firm's financial performance as measured by return on assets (ROA), return on equity (ROE) and Tobin's Q.

The authors use a panel data sample of 92 observations collected from 23 listed firms on Sweden's stock exchange over four years, 2015–2018. The authors hand collect DM from the digital leader's reports and collect financial data from DataStream. Using both static and dynamic panel (generalized method of moments (GMM) estimation) regression models to perform endogeneity problem, the authors explore the impact of the DM index on ROA, ROE and Q of Tobin.

The results show that DM has a negative effect on ROA and ROE but a positive effect on Q of Tobin. This negative relationship can be explained, by the fact that information technology (IT) investment and the DM could take years to be materialized and to be captured by performance indicators. Company investment in IT will increase and basically the ROA will be negatively affected because the higher value of IT assets is not amortized. Nevertheless, in the long term, company can maximize its performance. The positive effect on Q of Tobin captures the long-run effect of digital transformation.

This research can be helpful for firms in their process of digital transformation to succeed with the change, create value and to understand the challenges they have to face. In the short term, firms undertaking digital transformation will face some financial difficulties which affect negatively their ROA and ROE, but in the long term they can maximize their performance (captured by Tobin’s Q) and improve their market value.

In previous research, the impact of digital transformation on performance has been measured in terms of revenue growth, profit margins and in terms of earnings before interest and taxes (EBIT). Even if the authors have sufficient evidence of the positive effect of digital transformation on organizational performance, there is no support of the positive effect on financial performance. So, the authors try to fill this gap. This research has also the merit of examining this relationship empirically through a dynamic panel data estimation two-step system GMM, while the majority of previous studies are qualitative in nature based on interviews and questionnaires or simple correlations.