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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.

The main purpose of this research is to examine the impact of institutional quality and sectoral employment on environmental degradation in developing countries. This paper also re-examined the validity of the Environmental Kuznets Curve (EKC) hypothesis and estimated the long run impact of explanatory variables on CO₂ emissions.

In this paper, the balanced panel data for the period 2002–2016 was used based on data availability and applied two-step SYS-GMM estimators.

The results showed that institutional quality such as government effectiveness (GE) and the rule of law (RL) reduce CO₂ emissions and promote environmental quality in developing countries. Interestingly, the authors found new evidence that employment in agriculture and industry has a positive impact on pollution, while employment in the service sector was negatively associated with CO₂ emissions, and the validity of the EKC hypothesis was confirmed. In addition, the research suggests that strong institutional frameworks and their effective implementation are the most important panacea and should be treated as a top priority to counteract environmental degradation and achieve the UN Sustainable Development Goals.

This is the first study to examine the short run and long run effects of institutional quality and sectoral employment on environmental degradation using the balanced panel data for a large sample of developing countries. This paper also used a special technique of Driscoll and Kraay standard error approach to confirm the robustness results and showed the different roles of sectoral employment on environmental quality.

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.

The purpose of this paper is to examine the determinants of capital structure using a dataset of firms in Malaysia.

This paper carries out a panel data analysis of 8,270 observations from 827 listed non-financial firms on the Malaysia stock market over the period 2008–2017. To estimate the model and analyse the data collected from the DataStream and World Bank databases, the authors use static panel estimation techniques as well as two-step difference and system dynamic GMM estimator.

The results show that profitability, growth opportunity, tax-shield, liquidity and cash flow volatility have a negative and significant impact on debt measures. However, the effects of collateral, non-debt tax and earnings volatility on measures of debt are positive and significant. In addition, firm size, firm age, inflation rate and interest rate are important determinants of the present value of debt. The results also show a significant inverse U-shaped relationship between the firm's age and its capital structure. In general, the results support the proposition advocated by the pecking order and trade-off theories.

The results of this study necessitate formulation of various policy measures that can counter the effects of debt on firms.

The present study is among the earliest to use both the book and market value measures of capital structure. It also uses three proxies for each: total debt, long-term debt and short-term debt. It incorporates earning volatility and cash flow volatility as new independent variables in the model. These variables have not previously been used together with both book and market value measures of capital structure. The study also examines the non-monotonic relationship between firm's age and capital structure using a quadratic regression method. It applies both static panel techniques and dynamic GMM estimation techniques to analyse the data.

The paper attempts to empirically examine the difference in the foreign direct investment (FDI) – private investment relationship between developed and developing countries over the period 2000–2013.

The paper uses the two-step GMM Arellano-Bond estimators (both system and difference) for a group of 25 developed countries and a group of 72 developing ones. Then, the PMG estimator is employed to check the robustness of estimates.

First, there is a clear difference in the FDI – private investment relationship between developed countries and developing ones. Second, governance environment, economic growth and trade openness stimulate private investment. Third, the effect of tax revenue on private investment in developed countries is completely opposite to that in developing ones.

The paper is the first to provide empirical evidence to confirm the dependence of FDI – private investment relationship on governance environment. In fact, contrary to the view (arguments) in Morrissey and Udomkerdmongkol (2012), the paper indicates that FDI crowds out private investment in developed countries (good governance environment), but crowds in developing countries (poor governance environment).

As a coastal emerging country, export-led marine economy has been the development model of Vietnam over the past decades since The Renovation 1986. Given the rise of globalization, regional economic integration and logistics enhancement have been identified as key engines for economic sustainability by Vietnamese government. Nevertheless, little sectoral and sub-sectoral evidence has been given for the platform shaped by policies relevant to export, logistics performance and regional economic integration. The paper employs the trade gravity model to study the relationship between seafood export, logistics performance and regional economic integration in the case of Vietnam. Sectoral and sub-sectoral trade gravity models are employed. Logistics performance from the exporter-side and importer-side is included in the estimations. Membership to effective regional trade agreements of Vietnam are proxies for regional economic integration. Zero trade issue is resolved by the Pooled Ordinary Least Squares (POLS), Poisson Pseudo-Maximum Likelihood (PPML) and Heckman Sample Selection estimations, while endogeneity is tackled by the difference and system Generalized Method of Moments (GMM) models. Findings vary by estimation methods, data levels, product groups, and whether which side is considered. In addition, theoretical contributions and some seafood export-driving policy recommendations relevant to regional economic integration and logistics performance development are discussed.

Numerous researchers have developed theories and studies to uncover the issues pertinent to dividend policy dynamics, but it is still one of the unresolved problems of finance. The purpose of this paper is to focus on a new dimension, i.e., financial expertise on the corporate board for explaining the dividend policy dynamics in the emerging equity markets of China and Pakistan.

The study employs static (fixed effect (FE) and random effect (RE)) and dynamic models – two-step generalized method of moments (GMM) estimation techniques by Arellano and Bond (1991) and Arellano and Bover (1995) – during the timespan from 2009 to 2014. Further, this study re-estimated FE, RE and GMM two-step estimation techniques by excluding the non-dividend-paying companies, and also employed instrumental variable regressing by using two instrumental variables – industry average financial expertise of the board and board size – as proxies for board financial expertise to control the possible endogeneity.

The study reveals that Chinese firms having more financial expertise on the board do not take dividends as a control mechanism (substitution hypothesis), while Pakistani firms support the compliment hypothesis and use dividends as a control mechanism to mitigate agency conflict to protect shareholders’ interests and keep additional funds from the manager’s opportunism. Further robustness models also confirm the presence of a significant association between dividend policy and board financial expertise in both equity markets.

This study introduces the financial expertise on a board as a determinant of dividend policy. To the best of the authors’ knowledge, no previous studies have focused on board-level financial expertise as a contributing factor toward dividend policy.

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.

Information and communication technology (ICT) is a general-purpose technology, which plays an important role in improving the efficiency of a business firm. Nowadays, investment on ICT has become necessary for every business firm in different sectors of the economy. However, firms need to be very cautious while investing on a particular ICT, which is suitable for their businesses. Thus, it becomes necessary for the firm to understand its internal organizational characteristics to invest better on ICT. Therefore, the objective of the present study is to understand the organizational factors, which influence investment on ICT at the firm level.

The technology–organization–environment (TOE) framework is adopted to understand the organizational factors which influence a firm's ICT investment. The sample for the study is the firms belonging to bakery and sugar confectionery sector, which is one of the important sub-sectors of processed food industry in India. The data for analysis is extracted from a secondary source, namely the Prowess Database. The study uses two-step system GMM, a method of generalized method of moment (GMM), to identify the organizational determinants of ICT investment at the firm level.

The study finds that previous-year investment on ICT has a significant impact on firms' present-year investment on ICT. The result of the econometric method also shows that firms which are larger, labour-intensive and highly liquidated are the ones investing more on ICT in the present study.

As mentioned, the study examines the ICT investment determinants of firms belonging to one of the important sub-sectors of processed food industry of the Indian economy. However, the result of the study is not to be generalized since it is related only to a specific industry. Further, the data used in the study is limited by secondary sources and therefore, requires data from primary sources for in-depth investigation of ICT investment determinants at the firm level.

This paper bridges a research gap by examining the determinants of ICT investment of one of the important industry sectors in particular to developing countries. The paper contributes to the growing research on information technology adoption by using factors within the TOE framework to explain a processed food firm's investment on ICT.

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.