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The study examined the impact of financial development, foreign direct investment, market size and trade openness on domestic investment for 119 countries divided into four panels that are low-income countries (LIC), lower middle-income countries (LMIC), upper middle-income countries (UMIC) and high-income countries (HIC) between 1995 and 2019.

The present study bases its empirical procedure on the bases of the data mix. To this end, based on the presence of cross-sectional dependence, covariate-augmented Dickey–Fuller unit root and Westerlund cointegration second-generation tests were employed to validate the stationarity and cointegration of the variables, respectively. The novel Dynamic Common Correlation Effects estimator was employed to estimate the heterogeneous parameters while the Dumitrescu and Hurlin test was used to test for causality direction of the highlighted variables.

The empirical results show that market size and trade openness had a positive and statistically significant effect on domestic investment for all the income groups. Results also show that financial development had a positive and statically significant effect on domestic investment only for LMIC and HIC economies, while a positive and statistically insignificant effect was obtained for LIC, UMIC and the global panel. The causality results revealed a bidirectional relationship between domestic investment and the exogenous variables – financial development, foreign direct investment, market size and trade openness.

It is therefore, recommended that LIC and LMIC need to consider harmonising the financial system to lower credit limitations and adopt business-friendly policies. HIC and UMIC should seek more outward FDI policies and harmonise their trade policy, to reap more benefits from FDI and international trade.

On novelty, previous studies have been criticised for the effect on technical innovation of bank financing and institutional quality. This research tackles the deficiency using systematic institutional quality indicators and by taking other variables into account.

The purpose of this paper is to identify whether any financial integration exists among ASEAN+5 members and some East Asian countries, including China, Japan, Korea, Hong Kong, and Taiwan, through interest rate, exchange rate, level of prices, and real output.

Therefore, the authors intend to identify any long-term relationship among these variables utilizing the data in the most efficient manner via panel cointegration and panel unit root tests. The study likewise uses a panel-based vector error correction (panel-vec) model for comparison and also short-run relationship analysis. The long-run relationship is estimated using dynamic ordinary least square technique and a panel multi-layer perceptron (MLP) neural network.

For the ten countries under consideration, the empirical result supports the long-run equilibrium relationship among real output, exchange rate, interest rate, and level of prices, and that the cointegration relationship implies unidirectional causality from exchange rate to real output. This result is favorable to a model that contains real output as a dependent variable and exchange rate, interest rate, and level of prices as explanatory variables. Panel-vec results indicate no evidence of short-run causality from exchange rate to real output. Furthermore, the comparison result of long-run equation estimation shows the superiority of neural networks over econometric models.

This paper adds to the literature by examining the financial cointegration using a panel model that contains real exchange rate, interest rate, real output, and inflation rate in ASEAN+5. Additionally this paper applied the MLP neural network to yield a robust estimation of the long-run equation obtained among the variables.

The purpose of this paper is to examine whether the purchasing power parity (PPP) holds for countries in the West African Monetary Zone (WAMZ).

The author uses time series and panel data techniques.

Overall, the evidence is inconclusive. The time series and panel unit root tests rejected the PPP. The time series cointegration test supported it. The panel cointegration tests are, however, inconclusive.

The inconclusive evidence implies that the appropriateness of the PPP-based policies which have been implemented in the WAMZ may be difficult to assess. Moreover, the question of whether the WAMZ agenda may face trade obstacles is still widely open. Perhaps fractional unit root and cointegration techniques may help pin down conclusive evidence. Future studies may consider this direction.

The paper is original in the sense that it is the first to utilize a mixture of time series and panel data techniques to examine the PPP hypothesis for these countries.

Leadership assessment programs are intended to ensure that the organization retains or hires high-quality leadership. Among the many skills that must be included, executive communication is a cornerstone of effective leadership. However, there are many techniques to assessing executive communication that impose numerous advantages and disadvantages. The purpose of this study is to explore several techniques for evaluating executive communication skills in leadership assessment programs.

Building upon case studies from novel commanding officer selection efforts in the military, the current study outlines three possible areas of executive communication for leadership assessment programs: panel-based interviews, guided discussion and executive writing.

Although each technique offers some advantages, the best technique depends upon the context. Panel-based interviews can provide excellent depth in evaluating candidates, whereas executive writing focuses more upon crafting a deliberate and clear message without the ability to clarify or use nonverbal cues. Selecting an appropriate technique depends greatly upon the workload imposed on the leadership assessment team and the number of candidates available.

Leadership selection programs are often done piecemeal or based on local experience. By building upon novel efforts in military commanding officer selection, the goal is to promulgate effective executive communication techniques that will enhance leadership selection through more effective communication across all levels of leadership positions.

The purpose of this paper is to examine the relationship between financial development and rural-urban income inequality (INQ) in South Asian Association for Regional Cooperation (SAARC) countries using panel data from 1986-2012.

The stationarity properties are checked by the LLC and IPS panel unit root tests. The paper applied the Pedroni’s panel co-integration test to examine the existence of the long-run relationship and coefficients of co-integration are examined by fully modified ordinary least squares. The short-term and long-run causality is examined by panel Granger causality.

The results of Pedroni co-integration test indicate that there exists a long-run relationship among the variables. The findings suggest that financial development increases rural-urban inequality whereas trade openness reduces rural-urban inequality. The empirical results of panel Granger causality indicate evidence of short-run causality confirms that economic growth and financial development causes rural-urban INQ.

The present study recommends for appropriate economic and financial reforms focusing on financial inclusion to reduce rural-urban INQ in SAARC countries. Financial policies geared toward agriculture and rural population should be adopted to reduce the prevailing rural-urban INQ in SAARC region.

Till date, there is hardly any study exploring the causal relationship between financial development and rural-urban INQ for SAARC countries by using panel co-integration and causality techniques. So the contribution of the paper is to fill these research gaps in the literature.

The purpose of this study is to validate the impact of economic and financial development along with energy consumption on environmental degradation using dynamic panel data models for the period 1980-2010. The study uses three sub-panels constructed on the basis of income level to make panel data analysis more meaningful.

Larsson et al. panel cointegration technique, fully modified ordinary least squares and vector error correction model causality analysis are applied for empirical estimation.

Main empirical findings demonstrate that financial development reduces environmental degradation in the high-income panel and increases environmental degradation in the middle- and low-income panels. Hypothesis of the environmental Kuznets curve is accepted in all income panels. Granger causality results show the evidence of bidirectional causality between financial development and CO₂ emission in the high-income panel, and unidirectional causality from financial development to CO₂ emission in the middle- and low-income panels.

In empirical literature, only a few studies explain the effect of financial development on environment. The present study is an effort to fill this gap by exploring the effect of economic and financial development on environmental degradation.

The purpose of this case study is to investigate inefficiency and downtime factors within a panel lamination process cell at a timber component manufacturing company. Areas of concern related predominantly to the manual trimming or finishing of a range of laminated timber panels for the caravan and leisure industry. The intermittent feeding of inputs and material outputs was also investigated during this case study.

The case study was conducted over a six-month period using the Six Sigma defining, measuring, analysing, improving and controlling (DMAIC) construct. But was equally supported through a combination of tools both applied in lean manufacturing and statistical properties commonly assigned to Six Sigma projects.

This paper provides insights about the identification of the root causes for poor productivity and overall equipment effectiveness issues experienced by manual trimming/finishing operations in a laminated timber panel production cell. It also identifies solutions to overcome these issues and benefits (such as improved OEE, reduced downtime and savings in staffing costs) that were obtained due to the application of these solutions. This study contributes to understanding the interconnections of fork-lift truck movements with staff members working within manual finishing areas connected to a panel lamination cell.

This paper contributes new knowledge into the root causes of poor productivity and process performance within manual finishing operations in a laminated timber panel production cell at a small medium enterprise. By applying elements of Six Sigma' quality focussed analytical methods within the DMAIC structure, and simultaneously applying the waste reduction method of lean manufacturing, this paper provides useful perspective on why both these quality improvement-based ideologies are applied to overcome process issues in manufacturing.

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.

This paper aims to empirically explore the influences of Tobin’s Q and CEO compensation of 249 US companies on their stock returns.

Heterogeneous panel data for these companies over 2004-2012 are used invoking panel cointegration techniques.

Panel unit root tests and Pedroni cointegration tests confirm nonstationarity of each variable and cointegration among the above three variables. The panel vector error-correction model (VECM) estimates reveal long-run convergence with tepid adjustment. The short-run net interactive feedback effects are positive. The panel generalized method of moments estimates lend further support to the panel VECM inferences.

The topic is unique and the existing literature on this topic is scant. Relatively new econometric techniques have been applied for estimation using panel data. The results are quite insightful, in the authors’ view.

The objective is to assess the relationship between financial inclusion and bank profitability in emerging economies, i.e. “Bangladesh, Egypt, Indonesia, Mexico, Nigeria, Pakistan, Philippines, and Vietnam”.

The second-generation econometrics of panel data has been applied to examine the cross-section independence and control the heterogeneity between cross sections. Additionally, the authors employ the following tests for the analysis: “the unit root test, Westerlund's (2007) bootstrap cointegration, Pedroni cointegration, fully modified ordinary least square (FMOLS), and heterogeneous panel causality techniques”. The annual data consist of the period from 2000 to 2019.

The findings reveal that financial inclusion fosters bank profitability. Therefore, easier access to financial services and products will maximize banks' profitability. Additionally, the association between financial inclusion and bank profitability is unidirectional.

This research is a first attempt to bring a novel contribution to the subject of emerging economies by investigating the association between financial inclusion and bank profitability. Another unique addition to the literature is the use of a novel financial inclusion index. At last, a panel cointegration technique, FMOLS and heterogeneous panel non-causality tests are taken into consideration for the in-depth analysis.