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This research investigates the threshold effects of the interplay between finance, development and carbon emissions across 97 countries, including 50 low-income and 47 high-income countries, during the period from 1991 to 2019.

Employing various econometric modeling techniques such as dynamic linear regression, dynamic panel threshold regression and in/out of sample splitting, this study analyzes the data obtained from the World Bank's world development indicators.

The results indicate that low-income countries require a minimum financial development threshold of 0.354 to effectively reduce carbon emissions. Conversely, high-income countries require a higher financial development threshold of 0.662 to mitigate finance-induced carbon emissions. These findings validate the presence of a finance-led Environmental Kuznet Curve (EKC). Furthermore, the study highlights those high-income countries exhibit greater environmental concern compared to their low-income counterparts. Additionally, a minimum GDP per capita of US$ 10,067 is necessary to facilitate economic development and subsequently reduce carbon emissions. Once GDP per capita surpasses this threshold, a rise in economic development by a certain percentage could lead to a 0.96% reduction in carbon emissions across all income levels.

This study provides a novel contribution by estimating practical financial and economic thresholds essential for reducing carbon emissions within countries at varying levels of development.

The study examines whether the growth effect of government spending is contingent on the level of institutional environment prevalent in Economic Community of West African States (ECOWAS).

The study adopts the more refined and more appropriate dynamic threshold panel by Seo and Shin (2016) and made applicable be Seo et al. (2019). The technique models a nonlinear asymmetric dynamics and cross-sectional heterogeneity simultaneously in a dynamic threshold panel data framework.

The results show that there is a threshold effect in the government spending-growth relationship. Specifically, the authors found that the impact of government spending on economic growth is positive and statistically significant only above a certain threshold level of institutional development. Below that threshold, the effect of government spending on growth is insignificant and negative at best. The findings suggest that government spending-growth nexus is contingent on the level of Institutional quality.

Unlike previous studies that adopt the linear interaction model which pre-impose a priori conditional restrictions, this study adopts the dynamic threshold panel framework which allows the lagged dependent variable and endogenous covariates.

The aim of this paper is to investigate the contingency effect of natural resource abundance on the foreign direct investment (FDI)–growth relationship in a nonlinear (threshold) model.

The authors use the fixed effect threshold model for panel data with annual frequency for 83 countries and estimate threshold level of natural resource abundance that split the sample and change the FDI–growth relationship.

The results show that FDI has a strong positive impact on the economic growth of the host country if the host country's natural resources export is below the statistically significant estimated threshold. However, this FDI-induced economic growth is watered-down if the countries natural resources export is larger than the estimated threshold.

The results show that FDI has a strong positive impact on the economic growth of the host country if the host country's natural resources export is below the statistically significant estimated threshold. However, this FDI-induced economic growth is watered-down if the countries natural resources export is larger than the estimated threshold. The results are robust for alternative indicators of natural resources, i.e. natural resources rents.

The threshold regression framework is used to examine the effect of foreign direct investment on growth in Sub-Saharan Africa (SSA). The growth literature is awash with divergent evidence on the role of foreign direct investment (FDI) on economic growth. Although the FDI–growth nexus has been studied in diverse ways, very few studies have examined the relationship within the framework of threshold analysis. Furthermore, even where this framework has been adopted, none of the previous studies has comprehensively examined the FDI–growth nexus in the broader SSA. In this paper, within the standard panel and threshold regression framework, the problem of determining the growth impact of FDI is revisited.

Six variables are used as thresholds – inflation, initial income, population growth, trade openness, financial market development and human capital, and the analysis is based on a large panel data set that comprises 45 SSA countries for the years 1985–2013.

The results of this study show that the direct impact of FDI on growth is largely ambiguous and inconsistent. However, under the threshold analysis, it is evident that FDI accelerates economic growth when SSA countries have achieved certain threshold levels of inflation, population growth and financial markets development. This evidence is largely invariant qualitatively and is robust to different empirical specifications. FDI enhances growth in SSA when inflation and private sector credit are below their threshold levels while human capital and population growth are above their threshold levels.

The contribution of this paper is twofold. First, the paper streamlines the threshold analysis of FDI–growth nexus to focus on countries in SSA – previous studies on FDI-growth nexus in SSA are country-specific and time series–based (see Tshepo, 2014; Raheem and Oyınlola, 2013 and Bende-Nabende, 2002). This paper provides a panel analysis and considers a broader set of up to 45 SSA countries. Such a broad set of SSA countries had never been considered in the literature. Second, the paper expands on available threshold variables to include two new important macroeconomic variables, population growth and inflation which, though are important absorptive capacities but, until now, had not been used as thresholds in the FDI–growth literature. The rationale for including these variables as thresholds stems from the evidence of an empirical relationship between population growth and economic growth, see Darrat and Al-Yousif (1999), and between inflation and economic growth, see Kremer et al. (2013).

The purpose of this paper is to investigate sustainable green economy in sub-Saharan African (SSA) countries over the period 1990–2019 using a quantile regression approach, considering the nexus between urbanization, economic growth, renewable energy, trade and carbon dioxide (CO₂) emissions.

The study used a dynamic panel quantile regression to investigate the conditional distribution of CO₂ emissions along the turn-points of urbanization, economic growth, renewable energy, trade and the regressors via quadratic modeling specifications.

The main findings are established as follows. There is strong evidence of the Kuznets curve in the nexus between urbanization, economic growth, renewable energy, trade and CO₂ emissions, respectively. Second, urbanization thresholds that should not be exceeded for sustainability to reduce CO₂ emissions are 0.21%, and 2.70% for the 20th and 75th quantiles of the CO₂ emissions distribution. Third, growth thresholds of 3.64%, 3.84%, 4.01%, 4.36% and 5.87% across the quantiles of the CO₂ emissions distribution. Fourth, energy thresholds of 3.64%, 3.61%, 3.70%, 4.02% and 4.34% across the quantiles of the CO₂ emissions distribution. Fifth, trade thresholds of 3.37% and 4.47% for the 20th and median quantiles of the CO₂ emissions distribution, respectively.

The empirical shreds of evidence offer policy implications in such that building sustainable development and environment requires maintaining the critical mass, not beyond those insightful thresholds to achieving sustainable development and environmentally friendly SSA countries.

Sustainable cities and communities in an era of economic recovery path COVID-19 mitigate greenhouse gas. The policy relevance is of particular concern to the sustainable development goals.

The study is novel considering the extant literature by providing policymakers with avoidable thresholds for policy formulations and implementations in the nexus between urbanization, economic growth, renewable energy and trade openness.

South African public debt has recently increased significantly and has reached worrying levels. This study aims to examine the debt threshold effects on economic growth in South Africa, with an objective of suggesting a debt threshold as South African policymakers will seek to reduce debt to a sustainable level in the coming years.

The study applies a recent novel methodology advanced by Hansen (2017) that allows modelling a regression kink with an unknown threshold.

The findings of this study indicate a robust debt threshold of 37% of gross domestic product (GDP). Below this threshold, debt is growth-enhancing, but above 37% of GDP, debt is harmful to growth in South Africa.

Among other things, to reduce the debt-to-GDP ratio, South Africa will need a fiscal consolidation policy by undertaking reforms to state-owned companies to reduce their reliance on public funds, as well as putting in place economic measures to boost long-term growth. The country should also improve tax collection in order to realize additional tax revenue through enhancing compliance and other revenue collection measures.

Most of the existing studies on debt threshold effects in Africa are panel data studies, which assume parameter homogeneity, by determining a single debt threshold value applicable to all countries. This can be misleading as the debt-growth nexus is country-specific, being conditional on several factors, such as institutional quality. The present study applies a recent novel methodology, which allows to model a regression kink with an unknown threshold, for the case of South Africa. The methodology endogenously determines the debt threshold while also allowing a country-specific analysis.

Most empirical papers on threshold effects between debt and growth focus on developed countries or a mix of developing and developed economies, often using public debt. Evidence for developing economies is inconclusive, as is the analysis of other threshold effects such as those probably caused by the level of relative development or the repayment capacity. The objective of this study was to examine threshold effects for developing economies, including external and total debt, and identify them in the debt-growth relation considering three determinants: debt itself, initial real Gross Domestic Product (GDP) per capita and debt to exports ratio.

We used a panel threshold regression model (PTRM) and a dynamic panel threshold model (DPTM) for a sample of 47 developing countries from 1970 to 2019.

We found (1) no evidence of threshold effects applying total debt as a threshold variable; (2) one critical value for external debt of 42.32% (using PTRM) and 67.11% (using DPTM), above which this factor is detrimental to growth; (3) two turning points for initial GDP as a threshold variable, where total and external debt positively affects growth at a very low initial GDP, it becomes nonsignificant between critical values, and it negatively influences growth above the second threshold; (4) one critical value for external debt to exports using PTRM and DPTM, below which external debt positively affects growth and negatively above it.

The outcome suggests that only poorer economies can leverage credits. The level of the threshold for the debt to exports ratio is higher than that found in previous literature, implying that the external restriction could be less relevant in recent periods. However, the threshold for the external debt-to-GDP ratio is lower compared to previous evidence.

In this study, the authors examine how economic freedom mediates the impact of foreign direct investment (FDI) on economic growth in Africa.

By using data from 41 countries over the period 2000–2017, the authors invoke Seo and Shin's (2016) sample splitting approach while relying on the recently developed Seo et al.'s (2019) computationally robust bootstrap algorithm to achieve the purpose of this study.

The authors find evidence of economic freedom threshold that bifurcates the link between FDI and economic growth in Africa. More precisely, FDI does not improve overall economic growth for African countries whose economic freedom index is below the estimated threshold while significantly spurring growth for African countries with economic freedom above this threshold.

African countries need to strive towards improving their level of economic freedom through the strengthening of rule of law, reducing government size, promoting regulatory efficiency and further opening of the goods and capital markets.

The association between FDI and economic growth has been well documented. While the positive theoretical postulations are almost conclusive, empirical literature on the precise effect of FDI remains contentious and far from being settled. What is missing in the existing literature in Africa is whether countries' level of economic freedom mediates how FDI explains the variations in economic growth across African countries. The authors fill this research gap.

The threshold for the disclosure of environmental events in corporate reports is of fundamental importance. Recent government and professional reports (ICAA, 1998; and Victoria Parliament, 1999) have suggested that perhaps environmental events should be disclosed by entities at lower threshold levels than those suggested for the disclosure of economic events. The materiality research reveals that, from the perspective of stakeholders, economic events with thresholds of 5% should be disclosed. In this study the nature of thresholds pertinent to environmental events are considered. Stakeholder groups, shareholders, shareholder/environmentalists and environmentalists, indicate, through stated and revealed research methods, that the threshold level for disclosing an environmental event is significantly less than the regulated threshold for economic events.

The significant impact of innovation in stimulating economic growth cannot be overemphasized, more importantly from policy perspective. For this reason, the relationship between innovation and economic growth in developing economies such as the ones in Africa has remained topical. Yet, innovation as a concept is multi-dimensional and cannot be measured by just one single variable. With hindsight of the traditional measures of innovation in literature, we augment it with the number of scientific journals published in the region to enrich this discourse.

We focus on an approach that explores innovation policy qualitatively from various policy documents of selected countries in the region from three policy perspectives (i.e. institutional framework, financing and diffusion and interaction). We further investigate whether innovation as perceived differently is important for economic growth in 25 economies in sub-Saharan Africa over the period 1990–2016. Instrumental variable estimation of a threshold regression is used to capture the contributions of innovation as a multi-dimensional concept on economic growth, while dealing with endogeneity between the regressors and error term.

The results from both traditional panel regressions and IV panel threshold regressions show a positive relationship between innovation and economic growth, although the impact seems negligible. Institutional quality dampens innovation among low-regime economies, and the relation is persistent regardless of when the focus is on aggregate or decomposed institutional factors. The impact of innovation on economic growth in most regressions is robust to different dimensions of innovation. Yet, the coefficients of the innovation variables in the two regimes are quite dissimilar. While most countries in the region have offered financial support in the form of budgetary allocations to strengthen institutions, barriers to the design and implementation of innovation policies may be responsible for the sluggish contribution of innovation to the growth pattern of the region.

Segregating economies of Africa into two distinct regimes based on a threshold of investment in education as a share of GDP in order to understand the relationship between innovation and economic growth is quite novel. This lends credence to the fact that innovation as a multifaceted concept does not take place by chance – it is carefully planned. We have enriched the discourse of innovation and thus helped in deepening understanding on this contentious subject.