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The purpose of this paper is to analyze determinants of institutional quality based on six separate indicators of governance: voice and accountability, political stability, government effectiveness, regulatory quality, rule of law, and control of corruption.

The determinants under consideration include measures of economic freedom by the Cato Institute and the Heritage Foundation, indicators of policy quality, real per capita gross domestic product (GDP), risk rating, and the degree of openness.

Five measures of institutional quality increase real GDP growth significantly across Middle East and North Africa (MENA) countries. In contrast, institutional quality has a negative impact on the growth of private credit and private investment. Further, the combined evidence does not suggest that improvement in institutional quality is a major factor in attracting foreign direct investment flows to MENA countries.

The research provides startling evidence that illustrates how institutions have impacted macroeconomic performance and the underlying roots of institutional quality. Addressing shortcomings in institutions should top the policy agenda in an effort to drive the growth process.

Improving institutional quality will distribute the benefits of growth and enhance macroeconomic performance in the MENA region, which is rich in endowed resources. Nonetheless, the region lacks fundamentals of economic management and quality governance to utilize resources in the most efficient and productive fashion in order to maximize the welfare for a growing population that is constantly seeking productive opportunities to secure employment and a higher real standard of living.

The MENA region is understudied and worthy of much more empirical work. Many cross‐country studies of the determinants of growth omit oil‐producing nations. Focusing on this oil‐rich region is an attempt to fill this void. Unlike previous literature on the relationship between institutions and growth, the paper's approach to the issue analyzes micro foundations in the transmission channel between institutions and economic growth.

This paper aims to investigate the impact of huge external debt with its servicing requirements on economic growth of the Nigerian economy so as to make meaningful inference on the impact of the debt relief which was granted to the country in 2006.

The neoclassical growth model which incorporates external sector, debt indicators and some macroeconomic variables was employed in this study. The paper investigates the linear and nonlinear effect of debt on growth and investment utilizing the ordinary least squares and the generalized least squares.

Among other things, the negative impact of debt (and its servicing requirements) on growth is confirmed in Nigeria. In addition, external debt contributes positively to growth up to a point after which its contributions become negative reflecting the presence of nonlinearity in effects.

Nigeria's external debt is analyzed in a new context utilizing a different but innovative model and econometric techniques. It is of tremendous value to researchers on related topic and an effective policy guide to policymakers in Nigeria and other countries with similar characteristics.

The objective of this paper is twofold: first, to model the value of the firm in the presence of contingent capital and multiple growth options over its life cycle in a stochastic universe to ensure financial stability and recover losses in case of default and second, to clarify how contingent convertible (CoCo) bonds as financial instruments impact the leverage-ratio policies, inefficiencies generated by debt overhang and asset substitution for a firm that has multiple growth options. Additionally, what is its impact on investment timing, capital structure and asset volatility?

The current paper elaborates the modeling of a dynamic problem with respect to the interaction between funding and investment policies during multiple sequential investment cycles simultaneously with dynamic funding. The authors model the value of the firm in the presence of contingent capital that provides flexibility in dealing with default risks as well as growth options in a stochastic universe. The authors examine the firm's closed-form solutions at each stage of its decision-making process before and after the exercise of the growth options (with and without conversion of CoCo) through applying the backward indication method and the risk-neutral pricing theory.

The numerical results show that inefficiencies related to debt overhang and asset substitution can go down with a higher conversion ratio and a larger number of growth options. Additionally, the authors’ analysis reveals that the firm systematically opts for conservative leverage to minimize the effect of debt overhang on decisions so as to exercise growth options in the future. However, the capital structure of the firm has a substantial effect on the leverage ratio and the asset substitution. In fact, the effect of the leverage ratio and the risk-shifting incentive will be greater when the capital structure changes during the firm's decision-making process. Contrarily to traditional corporate finance theory, the study displays that the value of the firm before the investment expansion decreases and then increases with asset volatility, instead of decreasing overall with asset volatility.

The study’s findings reveal that funding, default and conversion decisions have crucial implications on growth option exercise decisions and leverage ratio policy. The model also shows that the firm consistently chooses conservative leverage to reduce the effect of debt overhang on decisions to exercise growth options in the future. The risk-shifting incentive and the debt overhang inefficiency basically decrease with a higher conversion ratio and multiple growth options. However, the effect of the leverage ratio and the risk-shifting incentive will be greater when the capital structure changes during the firm's decision-making process.

The firm's composition between assets in place and growth options evolves endogenously with its investment opportunity and growth option financing, as well as its default decision. In contrast to the standard capital structure models of Leland (1994), the model reveals that both exogenous conversion decisions and endogenous default decisions have significant implications for firms' growth option exercise decisions and debt policies. The model induces some predictions about the dynamics of the firm's choice of leverage as well as the link between the dynamics of leverage and the firm's life cycle.

This study aims to explore the impact of energy investment on economic growth. Specifically, the study investigates the impact of energy consumption, foreign investment, infrastructure development, tax revenue, human capital, international tourism revenue and trade volume on economic growth.

To achieve the aim, the authors sample the 24-years (1996–2019) financial statistics of BRICS countries. Given the econometric recommendations supplemented by the Johnsen cointegration test, the current study uses the fully modified ordinary least square model for regression analysis and checks the robustness through robust least square model.

The statistical analysis shows a direct impact of energy investment on economic growth. In addition, the statistical results indicate a positive impact of energy consumption, foreign investment, infrastructure development, tax revenue, human capital and trade volume on economic growth.

The results present practical implications for policymakers regarding the adequate investment in energy production that can further promote the economic growth in BRICS countries. Policy officials should enhance the volume of renewable energy production, foreign investment and tax revenue. Additionally, it is equally suggested to policymakers regarding the development of infrastructure and human capital to ensure economic growth.

This study supplements the novel and robust evidence on investment in energy-leading economic growth.

The purpose of this paper is to analyze the effects of investment growth in energy sectors of western areas of China on the local economy and emission of carbon dioxide (CO₂).

The paper is based on a two‐region, ten‐sector recursive dynamic computable general equilibrium model which is based on the input‐output table of Shaanxi Province for 2002.

Three different scenarios are considered in a static analysis where the investment in the energy sector of western areas is increased at the rate of 20, 40 and 60 per cent. The changes of some macro‐economic variables are simulated under these scenarios. The long‐term effects on GDP and emission of CO₂ in different scenarios are also simulated. The results show that the GDP growth is 0‐8.92 per cent, households disposable income growth is 0‐8.94 per cent, and emission of CO₂ growth is 0‐11.10 per cent when the investment grows between 0 and 60 per cent. The oil and gas sector is the most effective sector whose growth rate is 0‐19.47 per cent. The effects of investment growth in base period are relatively big but weaken gradually over time in the long‐run.

The paper is of value in highlighting the importance (for policy makers) of considering the development and application of low‐emission technologies to prevent further environmental degradation.

This study aims to examine the relationship between private capital inflows, financial development and economic growth in 28 sub-Saharan African (SSA) countries between the periods 1995 and 2017.

The study used a secondary source of data obtained from the world development indicator (WDI) and used the system generalized method of moments (SGMM) and dynamic panel threshold regression to analyze the data.

The study found that foreign direct investment has a negative and significant impact on the economic growth of SSA. The study also found that portfolio investment has a positive impact on economic growth but it is statistically insignificant. However, when portfolio investment interacted with financial development, it became positive and statistically significant presupposing that financial development is a necessary condition for portfolio investment to exert impact on economic growth. Further, the study showed that the interaction of foreign direct investment with financial development has a negative and significant effect on economic growth. Finally, the study found the minimum threshold of financial development at 42.66 per cent.

Policymakers in SSA should be cautious and critical in the kind of foreign direct investment they attract as the open door policy to attract all kinds of foreign direct investment would not bring about the desired result. Also, policymakers in the region should develop and implement policies that would deepen and strengthen the financial system to foster the development of the country’s financial sector and accelerate economic growth.

The contribution of the study lies in establishing a minimum threshold of financial development; thus, providing a clear-cut direction for policymakers in SSA countries in their pursuit of financial development and economic growth.

This paper provides empirical evidence on the dynamic relationship between inward foreign direct investment (FDI), economic growth and domestic investment in Korea for the period 1985‐1999. By employing a vector autoregression model and the innovations accounting techniques, we explore dynamic interactions between inward FDI, domestic investment and output. We find that FDI has some positive effects on economic growth, but its effects seem to be insignificant. On the other hand, economic growth is found to have statistically significant and highly persistent effects on the future level of FDI. Although FDI is exogenous contemporaneously, we find that FDI shows strong dynamic endogeneity to domestic macroeconomic conditions, which has not been uncovered in previous works. Our finding does not support the view that FDI crowds out domestic investment in Korea.

The purpose of the paper is to examine the impact of infrastructure investment and development on economic growth in Brazil, Russia, India, China and South Africa (BRICS) countries. The effect is examined for each country separately and also collectively by combining each country.

Ordinary least square regression method is applied to examine the effects of infrastructure investment and development on economic growth for each country. Panel data techniques such as panel least square method, panel least square fixed-effect model and panel least square random effect model are used to examine the collective impact by combining all countries in BRICS. The dynamic panel model is also incorporated for analysis in the study.

The results of the study are mixed. The association between infrastructure investment and development and economic growth for countries within BRICS is not robust. There is an insignificant relationship between infrastructure investment and development and economic growth in Brazil and South Africa. Energy and transportation infrastructure investment and development lead to economic growth in Russia. Telecommunication infrastructure investment and development and economic growth have a negative relationship in India, whereas there is a negative association between transport infrastructure investment and development and economic growth in China. Panel data results conclude that energy infrastructure investment and development lead to economic growth, whereas telecommunication infrastructure investment and development are significant and negatively linked with economic growth.

The study is novel as time series analysis and panel data analysis are used, taking the time span for 38 years (1980–2017) to investigate the influence of infrastructure investment and development on economic growth in BRICS Countries. Time-series regression analysis is used to test the impact for individual countries separately, whereas panel data regression analysis is used to examine the impact collectively for all countries in BRICS.

This article proposes an evaluation of capital investments that accounts for not only the initial assets, but also any potential growth options.

Using a piecewise linear approximation, a robust valuation technique is demonstrated for analyzing capital investment opportunities containing expansion options in a finite time horizon.

This process not only recognizes the option‐like characteristics of the initial investment opportunity, but also recognizes the option‐creating characteristics of the investment. This analysis shows that the value of capacity expansion options created by the initial investment has different dynamic characteristics from the assets in place. Although the growth options do not appear in the early investment premium, its impact on the investment decision is embedded in the investment threshold. When the time to expiration is short and the cost to delaying the assets in place is low, this analysis suggests that the initial investment decision might be made by ignoring the growth options.

This real option methodology provides a continuous solution to the optimal investment threshold and is a viable alternative to the traditional finite difference approach.