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This paper aims to examine the effect of development aid volatility on foreign direct investment (FDI) volatility in aid recipient countries.

The empirical analysis has relied on a sample of 117 countries over the period 1981–2016 and used the two-step system generalized methods of moments (GMM) approach.

The findings indicate that development aid volatility exerts a positive and significant effect on FDI volatility, with the magnitude of this positive effect rising as countries’ real per capita income increases. Furthermore, development aid volatility is non-linearly related to FDI volatility, as additional rises in the degree of development aid volatility further amplify FDI volatility.

These outcomes highlight that volatility of development aid inflows enhances the volatility of FDI inflows. Thus, the enhancement of the aid coordination system between donor-countries and recipient-countries would not only help mitigate the volatility of aid – which reduces the macroeconomic effectiveness of aid – but also stabilizes FDI inflows to developing countries.

A limitation of the present paper is its reliance on aggregate FDI inflows to perform the analysis. Availability of data on greenfield FDI inflows and cross-border mergers and acquisitions FDI inflows over a long-time-period would provide an opportunity to conduct an in-depth analysis of the volatility of development aid on FDI inflows volatility. Furthermore, it could be interesting to investigate in the future (if data is available) the extent to which aid coordination systems between donor-countries and recipient-countries versus recipient-countries’ domestic factors contribute to explaining the dynamics of FDI inflows volatility in recipient-countries of these two types of capital flows.

To the best of the authors’ knowledge, this topic has not been addressed in the literature.

This paper aims to examine how the volatility of foreign direct investment (FDI) inflows affects the volatility of corporate income tax revenue.

The study has used an unbalanced panel data set of 129 countries over the period 1981–2016 and the two-step system generalized methods of moment approach to perform the empirical analysis.

The main findings are that FDI volatility enhances the volatility of corporate income tax revenue in less advanced economies, but reduces it in relatively advanced countries. The positive corporate income tax revenue volatility effect of FDI inflows is far higher in non-tax haven countries than in tax haven countries. Additionally, FDI volatility exerts a higher positive effect on corporate income tax revenue volatility as countries experience greater dependence on natural resources. Finally, the positive effect of FDI volatility on corporate income tax revenue volatility is further amplified by higher FDI volatility.

One important limitation of the present analysis is the use of aggregate FDI inflows because of the lack of data over a long period on greenfield FDI inflows and cross-border mergers and acquisitions FDI inflows. Therefore, an avenue for future research could be to explore separately the effect of the volatility greenfield FDI inflows and the volatility of cross-border mergers and acquisitions FDI inflows on the volatility of corporate income tax revenue, when long-time series data (covering many countries) would be available.

These outcomes particularly shed light on the role of FDI volatility on the volatility of corporate income tax revenue, particularly in countries that are highly dependent on natural resources. Foreign capital flows, notably FDI flows, play an essential role for countries’ economic development through, inter alia, technology transfer, jobs creation and economic growth. Policymakers should aim to attract FDI, while also reducing their volatility, by designing and implementing policies and measures (such as those in favor of business environment improvement, property rights enforcement and political stability) that would assure foreign investors of the continuous high returns of their investments.

To the best of the author’s knowledge, this is the first time this topic is being addressed empirically in the literature.

This paper aims to investigate the linkages among foreign direct investment (FDI – greenfield and mergers and acquisitions [M&A]) decisions and equity market returns and volatilities. The main premise is that FDI decisions by multinational enterprises (MNE) are influenced by risk and uncertainty indicated by equity market returns and volatilities in the destination (host) countries. This is so because the events on the stock markets in general and their volatilities in particular signal the vitality of the investment climate of the target market. Understanding volatility in capital markets is important for determining the cost of capital and for evaluating direct investment and asset allocation decisions.

Surveys and structured interviews were conducted with senior managers of 11 MNEs based in the USA to collect the data used in this study from November 2017 to October 2018. The paper investigates if FDI decisions of the MNE managers are influenced by risk and uncertainty indicated by equity market returns and volatilities. The paper endeavors to make a contribution to the IB literature in highlighting the role played by equity returns and volatilities in FDI decisions and therewith attempts to integrate finance (capital markets) with international business/strategic decision-making.

Capital market performances (returns and volatilities) were found to influence the country choice for location of production facilities (FDI – both greenfield and M&A decisions) as well as timing of the FDI by a MNE. In other words, the share of production capacity optimally located abroad and M&A activities are affected by capital market returns and volatilities.

The present study aims at using a broader data set and longer time frame coupled with a relatively rigorous and robust methodology to examine the effect of real exchange rate volatility on foreign direct investment (FDI) in a small and developing country such as Ghana.

Time series data covering the period 1970‐2002 were used. ARCH and GARCH models were employed for the determination of real exchange rate volatility, and co‐integration and ECM were used to determine both the short‐ and the long‐term relationships.

The study showed that the volatility of the real exchange rate has a negative influence on FDI inflow and that the liberalization process has not led to a greater inflow of FDI in Ghana. It is also revealed that while both the stock of FDI and political factors are likely to attract FDI, most foreign investors do not consider the size of the market in making a decision to invest or otherwise in Ghana.

The main contribution of the study is its departure from the use of ratios in examining the effect of real exchange rate risk on FDI to a more rigorous and robust methodology, coupled with the fact that studies of this nature are virtually non‐existent in Ghana.

This paper investigates whether the investment strategies of multinational enterprises (MNEs) have changed as a result of the 1997 financial crisis in Korea. Estimation results using balanced panel data indicate that the investment decisions of global MNEs seem to have changed following the crisis. The crisis seems to have served as a “cold shower” for MNEs making investment decisions, as they have taken exchange rate “volatility” into account to a greater extent following the crisis. In contrast, there is no robust evidence that the investment decisions of foreign investors are closely correlated with the level of exchange rate, either before or after the crisis.

This paper aims to discuss the main characteristics of the Middle East North Africa (MENA) region's capital inflows volatility. It also examines the effect of institutional quality and information availability on capital inflows volatility in selected MENA countries (Bahrain, Egypt, Israel, Jordan, Kuwait, Libya, Morocco, Oman, Saudi Arabia and Tunisia) in the period 1996–2017.

The study's assessments are based on the International Country Risk Guide (ICRG) and globalization indices. It also employs an updated data set of balance of payments indicators released by the International Monetary Fund. Moreover, the study uses econometric panel modeling of random effect model, with Driscoll-Kraay robust standard error, to analyze the relationship between capital inflows volatility, institutional quality and information availability.

The paper finds that both institutional quality and information availability are in an inverse relationship with the total capital inflows volatility in the MENA region. However, the findings vary across the different components of total capital inflows. For example, the volatility of foreign direct investment (FDI) declines, like total capital flows, as the two factors improve. However, the volatility of foreign portfolio investment (FPI) is negatively related to institutional quality but does not have any significant relationship with information availability. While the volatility of foreign other investments (FOI) decreases with the availability of information, but does not have any significant relationship with institutional quality.

This paper expands the limited literature regarding the determinants of capital inflows volatility. Furthermore, it is the first study that investigates the effect of institutional quality and information availability on capital inflows volatility in the MENA region.

The purpose of this paper is to investigate the causal link between foreign direct investment (FDI) and exports in China based on the knowledge capital model (KK model, Markusen, 2002).

The bootstrap Granger full-sample and sub-sample rolling window causality test is used to determine whether FDI can promote exports.

The full-sample causality test indicates no causal relationship from FDI to exports. However, considering structural changes of exports and FDI, the authors’ find that the full-sample test is not reliable. Instead, the authors use the rolling window causality test to revisit the dynamic causal relationship, and the results present significant effects from FDI on exports, mostly around periods in which the proportion of FDI from Hong Kong, Macao and Taiwan is increasing. Specifically, positive impacts of FDI on exports are stronger than the negative impacts in China.

The findings in this study suggest a significant time-varying nature of the correlation between FDI and exports. The promotion effect of FDI to exports is proved by the rolling window approach; it thus supports the KK model that divides FDI into lateral FDI and vertical FDI and proves that the constitution of FDI is critical to the relationship between FDI and exports.

China has been facing adjustment of its economic structure in recent years, and in this situation, increasing the proportion of FDI that can bring advanced production function is critical for the industrial structural adjustment.

This paper uses the bootstrap rolling window causality test to investigate the time-varying nature of the causality between FDI and exports, considering structural changes for the first time. The authors further deepen the previous research and draw a more realistic conclusion.

This study aims to examine the factors affecting the foreign direct investment (FDI) and foreign portfolio investment (FPI) flows among the 16 economies comprising the Middle East and North African (MENA) region.

Panel data for the period 1984-2012 are used, and the generalized method of moment (GMM) technique is implemented.

The results support the agglomeration effect, which indicates that countries which have already had FDI attract more FDI in the future. Economic risk affects FDI significantly and negatively, whereas trade openness has a significant and positive impact on FDI. Of the political risk factors considered, three of them, namely, law and order, ethnic tension and internal conflict, significantly affect FDI. The results on FPI show that the lag in FPI and the degree of openness play a significant role in attracting FPI into the MENA region. In addition, stock market capitalization, as well as the return on investment affects the FPI flow positively. The study also reveals a negative government structure impact on FPI, whereas, surprisingly, religious tension in the MENA region affects FPI positively.

This research examines, simultaneously, the factors that determine not only FDI but also FPI flow. It uses a powerful econometric technique which avoids common estimation problems such as endogeneity, heteroskedasticity and autocorrelation. Policymakers in the MENA region recognized the need for outside capital as a major catalyst of development, economic growth and modernization. Therefore, it is essential to know the factors that would lead to a surge in capital flow to these countries.

This study aims to examine the effect of foreign direct investment (FDI) inflows on tax revenue in 34 developed and developing countries from 2006 to 2020.

Feasible generalised least squares (FGLS), a dynamic panel of a two-step system generalised method of moments (GMM) system and a pool mean group (PMG) panel autoregressive distributed lag (ARDL) approach were used to compare the developed and developing countries. Basic estimators were used as pre-estimators and diagnostic tests were used to increase robustness.

The FGLS, a two-step system of GMM, PMG–ARDL estimator’s results showed that there was a significant negative long and positive short-term in most countries relationship between FDI inflows and tax revenue in developed countries. This study concluded that attracting investments can improve the quality of institutions despite high tax rates, leading to low tax revenue. Meanwhile, there was a significant positive long and negative short-term relationship between FDI inflows and tax revenue in the developing countries. The developing countries sought to attract FDI that could be used to create job opportunities and transfer technology to simultaneously develop infrastructure and impose a tax policy that would achieve high tax revenue.

The present study sheds light on the effect of FDI on tax revenue and compares developed and developing countries through the design and implementation of policies to create jobs, transfer technology and attain economic growth in order to assure foreign investors that they would gain continuous high profits from their investments.

The study evaluates the effects of governance and other regulatory structures on the development of financial institutions in the subregion of sub-Saharan Africa (SSA).

Data for the analyses were compiled from relevant sources from 1996 to 2019 from a sample of 36 countries in the subregion. Empirical analyses were carried out using the Prais-Winsten panel corrected standard errors panel estimation technique augmented by pooled ordinary least squares with Driscoll and Kraay (1998) standard errors model.

Findings from the study suggest that governance and institutional quality index, as well as individual governance and regulatory variables, have positive effect on the development of financial institutions among economies in SSA. Further empirical estimates show that output growth volatility has negative moderating impact on the relationship between effective governance, control of corruption, rule of law, regulatory quality, voice and accountability, and development of financial institutions. Additionally, the results show that during periods of heightened macroeconomic risk, financial institutions could benefit from improved governance and effective regulatory structures.

Compared to related studies that have reviewed the discourse on financial institutions, this study rather focuses on how governance structures and institutions influence development of financial institutions instead of the impact of financial institution on the broader economy. The authors further augment this interaction by examining how the relationship in question may be moderated by macroeconomic shocks.