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The purpose of this paper is to shed light on the age-old trade-and-economic-growth controversy. The authors do so by utilizing the data relating to the G-20 countries between 1988 and 2013.

The authors seek to establish the formal statistical links between openness to trade and economic growth in the context of interactions with financial depth, gross capital formation, and foreign direct investment. The authors use a panel vector autoregressive model to obtain the estimates. The authors check for the robustness of the results.

The authors find that all the variables are cointegrated. That is, there is a long-run equilibrium relationship between the variables. Moreover, trade openness, financial depth, gross capital formation, and foreign direct investment are all causative factors for the economic growth of the G-20 countries in the long run. At the same time, the short-run results demonstrate that there is a myriad of causal links between these variables.

The decision makers in the G-20 countries wishing to encourage economic growth in the long run should pay close attention to trade openness, financial depth, gross capital formation, and foreign direct investment inflows to their countries.

The authors study an important group of countries over a long span of time, using advanced panel data techniques. The results demonstrate that future studies on economic growth that do not simultaneously consider trade openness, financial depth, foreign direct investment, and gross capital formation will offer biased or misguided results.

This paper aims to analyze the pattern of public debt in Brazil, Russian Federation, India, China and South Africa (BRICS) in a comparative perspective. Besides, an attempt is made to verify the existence of debt overhang as suggested by Krugman (1988) among BRICS nations.

Annual panel data for BRICS for the period 1980-2016 has been used for the analysis. Percentage ratio method has been used to analyze the pattern of debt. Panel covariate augmented Dickey–Fuller (pCADF) test has been used to verify the time series properties of the variable, while panel cointegration test of Pedroni (1999) is used to check the existence of any co-integrating vector among the variables. Panel Granger causality test is used to check the causality between the variables.

Co-integration result suggests that there exists a strong long-run equilibrium relationship between debt service, domestic savings, capital formation and economic growth of BRICS nations. From Granger causality test, it is observed that domestic savings and capital formation are Granger caused by debt servicing. The coefficients from fully modified ordinary least squares measure a negative impact of debt service on gross capital formation and gross domestic saving. This suggests that the payment for debt service affects capital formation and gross domestic savings adversely. Thus, it gives primary signals for debt overhang effect in BRICS nations.

Allowing debt service to negatively affect the investment and potential investment will result in slowdown or stagnation in economic growth in the long run, so strategies need to be taken in BRICS nations to check the adverse effects of rising level of debt-service-payment-to-gross national income ratio on domestic savings and capital formation. BRICS nations need to reduce their debt service payment by undertaking appropriate strategy of debt overhaul and fiscal management so that domestic savings and capital formation in the country will not be adversely affected. Besides, BRICS nations need to take measures to augment its domestic savings and capital formations.

To the best of the authors’ knowledge, no published works have analyzed the pattern of public debt for BRICS (major developing nations). Debt servicing is also not checked for BRICS in recent papers, considering overhang approach.

The purpose of this paper is to examine key macroeconomic determinants on Cameroon's economic growth from 1970 to 2018.

Data were obtained from the World Development Indicators and applied on time series data econometric techniques. The auto-regressive distributed lag (ARDL) bounds model analyzed the data since the variables had different order of integration.

The results showed long and short runs’ positive and significant connection between economic growth in Cameroon and government expenditure; trade openness, gross capital formation and exchange rate. Human capital development, foreign aid, money supply, inflation and foreign direct investment negatively and significantly affected economic growth in the short and long-runs. Hence, the macroeconomic indicators are not death.

The present research paper has tried to capture the impact of nine macroeconomic determinants on economic growth such as the government expenditure (LNGOVEXP), human capital development (LNHCD), foreign aids (AID), trade openness (LNTOP), foreign direct investment (LNFDI), gross capital formation (INVEST), broad money (LNM2), official exchange rate (LNEXHRATE) and Inflation (LNINFLA). However, these variables have the tendency to affect each other in a unidirectional or bidirectional manner. Further, the present research paper is unable to capture the impact of other macroeconomic variable due to the unavailability of data.

The study recommends that Cameroon should use proper planning and strategic policy interventions to achieve higher sustainable economic growth with human capital development, foreign aid, money supply, foreign direct investment and moderate inflation.

Macroeconomic indicators, if managed well, increase economic growth.

This paper to the best of the researcher's knowledge presents new background information to both policymakers and researchers on the main macroeconomic determinants using econometric analysis.

The London office market is a major destination of international real estate capital and arguably the epicentre of international real estate investment over the past decade. However, the increase in global uncertainties in recent years due to socio-economic and political trends highlights the need for more insights into the behaviour of international real estate capital flows. The purpose of this study is to evaluate the influence of the global and domestic environment on international real estate investment activities within the London office market over the period 2007–2017.

This study adopts an auto-regressive distributed lag approach using the real capital analytics (RCA) international real estate investment data. The RCA data analyses quarterly cross-border investment transactions within the central London office market for the period 2007–2017.

The study provides insights on the critical differences in the influence of the domestic and global environment on cross-border investment activities in this office market, specifically highlighting the significance of the influence of the global environment in the long run. In the short run, the influence of factors reflective of both the domestic and international environment are important indicating that international capital flows into the London office market is contextualised by the interaction of different factors.

The authors provide a holistic study of the influence of both the domestic and international environment on cross-border investment activities in the London office market, providing more insights on the behaviour of global real estate capital flows.

The issue of foreign aid has continued to gain renewed economic cum political attention in the early years of the twenty-first century. At a summit, popularly known as the Millennium Summit, which took place in 2000, there was an agreement by the international community concerning some goals known as the Millennium Development Goals which were targeted to be reached by the year 2015 but have now been replaced by the Sustainable Development Goals. Against this background, it becomes pertinent to ascertain the contributions and impact of foreign aid in the form of Overseas Development Assistance (ODA) on capital formation in Nigeria. This is an area of foreign aid studies that has been ignored by many researchers. Most studies are seen delving into analyzing the aid-growth nexus without evaluating the transmission link through which foreign aid transmits to affect economic growth. There is paucity of studies on the aid-capital nexus. The paper aims to discuss these issues.

The empirical method used was autoregressive distributed lag (ARDL) model.

The empirical results from the ARDL model estimations show that foreign aid, which is proxied by ODA, has a positive and significant impact on capital formation in Nigeria for the years under analysis. The result of the Granger causality test shows that a bi-directional granger causality exists between foreign aid and gross fixed capital formation (GFCF).

Empirical results from the ARDL model estimations show that foreign aid, which is proxied by ODA, has a positive and significant impact on capital formation in Nigeria for the years under analysis. The result of the Granger causality test shows that a bi-directional Granger causality exists between foreign aid and GFCF. It is therefore recommended that government should make serious efforts toward the implementation and effective utilization of foreign aid. Appropriate policy measures that would monitor the maximum and effective utilization of foreign aid are also required.

This paper aims to analyze the effectiveness of aid in stimulating investment using different measures of aid and up-to-date panel time-series techniques. This study controls for endogeneity by using dynamic ordinary least squares (DOLS) and minimizes the risk of running a spurious long-run relationship by using series that are cointegrated. This paper finds evidence that aid promotes investment in countries with good institutional quality and gain interesting insights on the influence of country characteristics and the amount of aid received. Aid is ineffective in countries with unfavorable country characteristics such as a colonial past, being landlocked and with large distances to markets. Aid can boost investment in regions that receive high (above-median) amounts of aid such as Africa and the Middle East but not in regions that receive low amounts of aid. Investment-targeted aid is effective but non-investment-related aid can also enhance investment.

Regressions on the aid-investment nexus are based on either a rather simple (115 countries) or an extended/augmented investment model (91 countries). The data covers the period of 1973–2011 and 1985–2011 if the institutional quality is included. This study estimates the relationship between aid and investment by applying the DOLS/dynamic feasible generalized least squares technique which is based on a long-run relationship of the regression variables (cointegration). In this framework, this paper incorporates country-fixed effects, control for endogeneity, autocorrelation and take heteroscedasticity and cross-country correlation of the residuals into account.

This study finds empirical evidence that aid promotes investment in countries with good institutional quality and gain interesting insights on the role played by country characteristics and the amount of aid received. Aid is ineffective in countries with unfavorable country characteristics such as the colonial past, being landlocked, distant from markets. Aid can boost investment in regions that receive high (above-median) amounts of aid such as Africa and the Middle East. Investment-targeted aid is effective but non-investment-related aid also able to enhance investment.

The study looks at the investment to gross domestic product (GDP) ratio (including domestic investment and foreign direct investment (FDI)) and, hence does not disentangle these factors. It looks at the net effect (positive and negative impact together) and, therefore does not allow to identify the direct crowding out the impact of aid. Of course, if this paper finds that aid has a negative impact on investment, it is clear that aid must have crowded out either domestic investment or FDI or both.

The authors think that it is relevant to have identified the circumstances and settings in which foreign aid can be particularly effective and in which foreign aid needs accompanying measures that improve the effectiveness of aid. Also, it is relevant that the relative amount of aid received (aid-to-GDP ratio) must be quite high so that aid can increase investment.

This study sees that the least developed, low-income countries and (in terms of regions) the sub-Saharan Africa countries benefit from aid. This is very desirable. This paper further sees that higher relative amounts of aid do help more and that it is helpful to care about a better institutional quality in developing countries. Hence, this study provides some support for the desirability of aid.

The paper was done very diligently, and this study is very confident that the results are robust. This paper is also confident that this study has studied the long-run (which is of special importance) nexus between aid and investment. The estimation technique used is original, as it combines regular DOLS with corrections for autocorrelation and cross-section dependence.

The main goal of the study is to explore the long run relationship between public debt and domestic investment in West Africa. Essentially, a study of this nature is to proffer major inroads into addressing low investment levels plaguing the region and securing critical fiscal policy measures.

The study examines the long-run relationship between public debt and domestic investment in 13 West African countries between 1986 and 2018 with the use of Panel Dynamic Least Squares (DOLS) and Panel Fully Modified Least Squares (FMOLS), and causality test based on Toda and Yamamoto.

Public debt (% of GDP) and external debt stocks have an insignificant effect on domestic investment in the long run, suggesting the negligible effect of public debt on the level of investments in the region. Further evidence shows that domestic investment Granger causes public debt indicators, implying that there is unidirectional causality. This suggests that any investment-generation policy could engender a rise in public borrowing, although such public loans might not be effective when there is pervasive mismanagement of public funds, as public debts need to be well managed for ensuring improved investment.

The study suggests that maintaining a strong and effective debt-investment nexus requires fiscal consolidation efforts across countries, as such could lead to enhanced institutional capacity and sustainable investment-generation policy.

Since panel regression techniques used by the previous studies (Fixed and Random effects) could be susceptible to possible statistical errors due to endogeneity issue and might not be well suited for explaining long-run effect or capturing the part of investment sustainability, their conclusions could be misleading and remain untenable in West Africa' s context. Hence, the study adopts techniques (DOLS and FMOLS) which could account for endogeneity issue and provide better elucidations for long-term effects.

This chapter applies the five drivers of productivity framework to regional microdata for Egypt and extends it by introducing an index of industrial clusters as an explanatory factor of the productivity performance of local private sector firms. Applying structural equation models, the geographic concentration of sectoral economic activity is found to have a positive and statistically significant effect on labor productivity. The transmission mechanism is conjectured to be the positive spillovers that are created, which local firms can tap into. In contrast, a higher concentration of skilled workers in an industrial sector in a region is associated with lower levels of labor productivity – a finding that suggests there may be structural deficiencies in the allocation of skilled workers. Regional policy should focus on net investments in gross capital formation throughout the country, for which the national and regional governments should improve how public investments are managed and the institutional framework – including the rule of law, bureaucracy and red tape, conflict of interest, transparency, and governance – so that private investment (both local and foreign) may substantially increase.

Our study aims to evaluate the impact of infrastructure and public investment on private investment in machinery and equipment in Brazil from 1947 to 2017. The contribution of our article to the existing literature lies in providing a more comprehensive understanding of the presence or absence of the crowding effect in the Brazilian economy by leveraging an extensive historical database. Our central argument posits that the recent decline in private capital accumulation over the last few decades can be attributed to shifts in economic policies – moving from a developmentalist orientation to nondevelopmental guidance since the early 1990s, which is reflected in the diminished levels of public investment and infrastructure since the 1980s.

We conducted a series of econometric regressions utilizing the autoregressive distributed lag (ARDL) model as our chosen econometric methodology.

Employing two different variables to measure public investment and infrastructure, our results – robust across various specifications – have substantiated the existence of a crowding-in effect in Brazil over the examined period. Thus, we have empirical evidence indicating that the state has influenced private capital accumulation in the Brazilian economy over the past decades.

Our article contributes to the existing literature by offering a more comprehensive understanding of the crowding effect in the Brazilian economy, utilizing an extensive historical database.

This study aims to examine foreign direct investment (FDI) factors and develops a rational framework for FDI inflow in Western European countries such as France, Germany, the Netherlands, Switzerland, Belgium and Austria.

Data for this study were collected from the World development indicators (WDI) database from 1995 to 2018. Factors such as economic growth, pollution, trade, domestic capital investment, gross value-added and the financial stability of the country that influence FDI decisions were selected through empirical literature. A framework was developed using interpretable machine learning (IML), decision trees and three-stage least squares simultaneous equation methods for FDI inflow in Western Europe.

The findings of this study show that there is a difference between the most important and trusted factors for FDI inflow. Additionally, this study shows that machine learning (ML) models can perform better than conventional linear regression models.

This research has several limitations. Ideally, classification accuracies should be higher, and the current scope of this research is limited to examining the performance of FDI determinants within Western Europe.

Through this framework, the national government can understand how investors make their capital allocation decisions in their country. The framework developed in this study can help policymakers better understand the rationality of FDI inflows.

An IML framework has not been developed in prior studies to analyze FDI inflows. Additionally, the author demonstrates the applicability of the IML framework for estimating FDI inflows in Western Europe.