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The purpose of this paper is to empirically analyse how different exchange rate regimes affect the links between monetary fundamentals and exchange rates in Sub-Saharan Africa.

Using the Pedroni method for panel cointegration, mean group and pooled mean group and the panel vector autoregressive technique, this study empirically investigates whether monetary fundamentals impact exchange rates similarly in both regimes. Thus, the author acquires needed and credible empirical data.

The result suggests that the impact is dissimilar. In the floating regime, an increase in relative money supply and relative real output depreciates and appreciates the nominal exchange rate in the long run whereas in the non-floating regime, the evidence is mixed. Thus, exchange rates bear a theoretically consistent relationship with monetary fundamentals across SSA countries with floating regimes but fails under non-floating regimes. This provides evidence that regime choice is important if the relationship between monetary fundamentals and exchange rates in SSA are to be theoretically consistent.

This study empirically incorporates the dissimilarities in exchange rate regimes in a panel framework and study the links between exchange rates and monetary fundamentals. The focus on how exchange rate regimes might alter the equilibrium relationships between exchange rates and monetary fundamentals in SSA is a pioneering experiment.

This paper aims to examine the influence of key macroeconomic factors on the inward and outward acquisition activities of six ASEAN (ASEAN: Association of Southeast Asian Nations) countries, namely, Indonesia, Malaysia, the Philippines, Singapore, Thailand and Vietnam, over the 1996-2015 period.

The study uses alternative panel data methods, including pooled mean group, mean group and dynamic fixed-effect estimators.

The results indicate that gross domestic product (GDP), interest rate, exchange rate, money supply and inflation rate are the most important macroeconomic factors explaining the trends of cross-border mergers and acquisition outflows of the ASEAN-6 countries. Specifically, GDP, money supply and inflation rate have significant positive relationships with acquisition outflows, while interest rate and exchange rate exert significant negative influence. On the other hand, the authors find four significant macroeconomic factors explaining the trends of the inward acquisitions. Essentially, GDP, money supply and inflation rate have significant positive impacts on inward acquisitions, while the impact of exchange rate is negatively significant.

Unavailability of data limits this study to pool six sample countries from ASEAN, instead of ten representative member countries.

The results of this study can signal to firms or investors, involving in cross-border mergers and acquisitions, where to direct foreign resources flows. Moreover, having the knowledge about the relative levels of market size and other macroeconomic factors in both home and host countries can be of great importance for investment decision. Therefore, policymakers of ASEAN countries should make appropriate macroeconomic policies that can stimulate inward and outward acquisitions.

The main contribution of this paper is that it is the first to present the analysis of macroeconomic influences on the trends of inward and outward merger and acquisition activities in six ASEAN countries.

The purpose of this study is to examine the influence of urbanization on energy consumption, including economic growth, globalization and “foreign direct investment (FDI)” inflow as control variables.

This study uses yearly panel data from 19071 to 2018 on five selected South Asian economies. It applies the “pooled mean group (PMG)” estimator and the “Dumitrescu-Hurlin (D-H)” panel causality test.

The PMG estimators reveal that urbanization causes energy consumption negatively in the long run because of an unusual and messy urbanization process. At the same time, it has no impact on the latter in the short run. Per capita income has both long- and short-run positive influences on energy use. Globalization causes energy consumption positively in the long run but does not affect it in the short run. FDI inflow has a strong positive impact on energy use in the long run and adverse effects in the short run. The Dumitrescu–Hurlin causality test reveals feedback relationships between “urbanization and energy consumption,” “globalization and energy consumption” and one-way causation from “per capita income to energy consumption.” It validates the findings of the PMG estimators.

The results of this study indicate that South Asia may focus on enhancing the availability of energy in the region and producing more renewable energy to add to its energy portfolio to meet growing energy demand, particularly among urban dwellers. Moreover, they should raise their real per capita incomes and augment the standard of living of low-income city dwellers to make urbanization more serviceable and comfortable.

This study is original. As far as the author is aware, this is a maiden attempt to investigate urbanization's effects on energy usage in South Asia in the preview of globalization and FDI.

The present paper seeks to investigate the impact of International Financial Reporting Standards (IFRS) adoption on the foreign direct investment (FDI) in the Gulf Cooperation Council (GCC) region for the period 1980–2017. This study relies on the information asymmetry theory, according to which IFRS adoption, as a positive signal for investors, should attract more FDI. This research is crucial and presents an interesting framework for providing a major motivation for empirical insights since the macroeconomic evidence on the impact of IFRS adoption on FDI is still unclear in the GCC region and no empirical evidence has been provided in the existing related literature.

The analysis was conducted based on panel data from GCC countries over the period 1980–2017 and using the autoregressive distributed lag (ARDL) modeling approach and the pooled mean group (PMG) estimation method.

The findings indicate that the decision of adopting IFRS in GCC countries has a positive impact of 3% on FDI inflows in the short run. However, the adoption of IFRS in the region leads to a decrease of 10.4 % in FDI inflows in the long run.

These findings should be of a major interest to regulators and policymakers in GCC countries, practitioners and academic researchers, international investors, managers and any other interested groups about the accounting environment in GCC countries and other developing countries having an interest in the economic consequences of IFRS adoption, as a driver of FDI, in developing countries.

This investigation provides original empirical evidence on the effect of IFRS adoption on FDI inflows within the context of the GCC area. In fact, the current international literature is lacking empirical evidence on the effect of IFRS adoption on FDI inflows for the GCC countries as a whole. Furthermore, this study offers an original methodological contribution to the macroeconomic impact of IFRS adoption literature by using the PMG estimator since there has been no research works to date that has used this method of estimation.

This study aims to explore the relationship between the growth threshold effect on renewable energy consumption (REC) in the major oil-producing countries in sub-Saharan Africa (SSA) over the period 1990–2018.

This article used a dynamic panel threshold regression model introduced by Hansen (1996, 1999 and 2000) threshold (TR) models. The procedure is achieved using 5,000 bootstrapping replications and the grid search to obtain the asymptotic distribution and p-values. For the long-run relationship among our variables, the author followed the process in Pesaran et al. (1999) pooled mean group (PMG) for heterogeneous panels. Furthermore, for the robustness of our empirical results due to the sensitivity of the results to outliers, the author used the approach by Cook (1979) distance measure. The author applied quantile (QR) regression to explore the distribution of dependent variables following Bassett and Koenker (1982) and Koenker and Bassett (1978) approaches.

The results from the threshold effect test and threshold regression revealed a significant single threshold effect of growth level on REC. Furthermore, the result from the PMG estimation showed the growth of the variable, energy intensity, consumer prices and CO₂ emissions play a significant role in REC in major oil-producing countries in SSA. The growth threshold estimation results indicated one significant threshold value of 1.013% at one period lagged of real growth. The outlier’s sensitivity detention greatly influenced our empirical results.

The article filled the literature gap by applying a combined measure that is robustness to detect outliers in the data, which none of the studies in the literature addresses hitherto. Further, the article extends the quantile regression to growth – REC literature.

This study aims to examine the relationship between exchange rate risk and export at commodity level for the Indian case.

The monthly panel data used for analysis are at a disaggregated level, which cover around 100 products, encompassing all merchandize sectors for the period spanning from 2012:12 to 2017:11. To measure the exchange rate volatility, the authors use real as well as nominal exchange rate concepts and predict the volatility of exchange rate using the autoregressive conditional heteroscedastic-based model. They use pooled mean group, mean group and common correlated effects mean group estimator that is suitable for the objectives and data frequency.

The empirical analysis indicates both short- and long-term negative effects of exchange rate variations on exporting. Specifically, in the long run, real exchange rate as well as nominal exchange rate volatility has significant effects on export performance, yet, the effects of uncertainty of nominal exchange rate is much severe and intense. In the short run, it is the nominal exchange rate uncertainty that hurts exports from India. Nevertheless, the short-run effect is much lesser than the long-run, supporting the argument that the short-term exchange rate risk can be hedged, at least partially, through financial instruments; however, uncertainty of the long-term horizon cannot be hedged easily and cost-effectively.

Reducing uncertainty and attaining stability in exchange rate and price level should be an important policy objective in developing countries such as India to achieve higher export growth, both in the short and long run.

Unlike previous studies, this paper tests the relationship using micro-level data and uses advanced econometric techniques that are likely to provide more precise information regarding the association between exchange rate volatility and trade flows.

The purpose of this study is to analyze the Environmental Kuznets Curve (EKC) hypothesis within the methane (CH₄) emission–economic growth nexus among the six Association of Southeast Asian Nations (ASEAN) countries from 1985 to 2012.

The study employs dynamic panel data estimation approaches such as mean group (MG) and pooled MG (PMG) techniques.

The findings reveal that the EKC hypothesis for the CH₄ emission in these economies proves to be valid. In other words, economic growth causes CH₄ emissions to decrease. Nevertheless, energy consumption is deteriorating the environment by enhancing CH₄ emissions in these countries.

The ASEAN region has experienced substantial economic growth over the previous few decades. Nevertheless, pollution has also increased manifolds in this region. Methane is a more potent greenhouse gas (GHG) as compared to carbon dioxide (CO₂) and a major source of socio-economic issues in the ASEAN region. This study is the first in the existing literature on the EKC hypothesis examining the role of economic growth on CH₄ emissions in the selected ASEAN countries. The outcomes of this study could be really beneficial for the policymakers in this region regarding sustainability and economic development.

This study investigated the interactive impact of global and domestic stock market variables on the depth of the financial system in Sub-Saharan African (SSA) countries from 1990 to 2018.

The study used the mean group and pooled mean group estimators for the dynamic heterogeneous panel.

The results provide strong statistical evidence that the depth of the financial system in SSA countries is influenced by a combination of local and international stock market indicators. While the local variables exert a positive influence, the global indicator tends to negatively affect the depth of the system, particularly the monetization ratio.

While the tendency of portfolio adjustments and reversal can be inferred, the study stresses the need for a more globalized approach to financial policy formulation and implementation even as the trend of global financializaton gets more robust and more profound.

This study is unique in that, unlike prior ones, it has extended the debate on the role of the stock market in financial deepening from a domestic to an international dimension. Financial policy making can be aided by the authors' findings through looking at the financial deepening-stock market linkage from both domestic and globalized perspectives.

This study examines the impact of trade openness, human capital, public expenditure and institutional performance on unemployment in various income groups of Organization of Islamic Cooperation (OIC) countries.

Traditional panel data methodologies neglect the issue of cross-sectional dependence and provide ambiguous outcomes. A novel approach, “dynamic common correlated effects (DCCE)”, is utilized in this study to tackle with aforementioned issue. Pooled mean group (PMG) estimation is also applied to verify the robustness of the findings.

The long-run estimates show that trade openness has a significant and negative relationship with the unemployment rate in overall and lower-income OIC economies and a positive correlation with unemployment in higher-income OIC countries. Public expenditure is negatively and significantly correlated with unemployment in higher-income and overall OIC economies. Moreover, human capital reduces unemployment in higher-income and overall OIC countries while increases unemployment in lower-income OIC economies.

The research tends to endorse the argument for continuous trade openness policy along with efficient use of public expenditure and improved institutional performance to reduce unemployment in OIC countries.

The DCCE approach in this research considers heterogeneity and cross-sectional dependence between cross-sectional units and thus gives robust outcomes.

The purpose of this study is to investigate the energy–growth linkage in sub-Saharan Africa (SSA), with emphasis on real sectors’ contribution to aggregate growth using dynamic panel estimation techniques that are practically and conceptually superior to the static models.

Dynamic panel econometric techniques pooled mean group, mean group and dynamic fixed effect were used to investigate the linkage among energy consumption, real sector value added and economic growth from 1967 to 2016 in 48 SSA countries.

A strong empirical evidence in favor of energy dependence and growth hypothesis in the investigated SSA countries was found. The finding that real sector value added and overall growth rate adjust reasonably to the shocks and dynamics of the energy consumption variables makes energy consumption an enabler for growth. This indicates that well thought-out and implemented energy development policy will not only increase energy consumption but also elicit multi-sectoral growth while addressing the obvious energy deficiency in the SSA region.

It is also important to note the policy implications of the high adjustment profiles indicated by the error correction representations. All the speeds of adjustment of the three models denominated in time are slightly above a year and are all within predictable limits (they fall below unity or 100%). We found that when agriculture value added, manufacturing value added and overall economic growth rate in our SSA panel estimation exceed equilibrium levels as a result of deviations arising from energy related variables, downward adjustments at 66%, 62% and 78% per year, respectively, take place.

The study indicates that well thought-out and implemented energy development policy will not only increase energy consumption but also elicit multi-sectoral growth while addressing the obvious energy deficiency in the SSA region.

Much as this study has made some addition to the literature on energy-growth nexus in the SSA region, which undoubtedly is an unveiling of economic forces in a collection of developing and energy deficient economies, it will be of great research significance if the form and style of this study is adopted for other economic blocs in the shapes and sizes of the SSA region.

This study ensured currency of data, novelty of approach and disaggregated energy consumption into emerging sources, traditional sources and geographical access.