Asymmetric and threshold effects of public debt on economic growth in SADC: a panel smooth transition regression analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bongumusa Prince Makhoba ◽  
Irrshad Kaseeram ◽  
Lorraine Greyling

PurposeThis study aims to interrogate dynamic asymmetric relationships between public debt and economic growth in Southern African Developing Communities (SADC), over the period 2000–2018.Design/methodology/approachThe study employed a panel smooth transition regression (PSTR) technique to analyse dynamic asymmetric relationships between public debt and economic growth, and the threshold effect at which public debt hampers economic growth.FindingsThe findings indicate that there is a significant nonlinear effect of debt on economic growth in SADC. The study discovered a debt threshold of 60% to GDP at which debt beyond this threshold deteriorates long-term growth. The low-debt regime was found to be positive and statistically significant, while the high-debt regime is detrimental for long-term growth. Fiscal policymakers ought to consider the adoption of well-coordinated debt policies that aims to strike a balance between sustainable public debt and economic growth, within a reasonable threshold target.Originality/valueThe study focusses on asymmetric and threshold analysis of public debt on economic growth in SADC using sophisticated panel smooth transition regression (STAR). This study provides rigorous empirical evidence within the SADC perspective in which previous studies have predominantly been confined in advanced economies.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bongumusa Prince Makhoba ◽  
Irrshad Kaseeram ◽  
Lorraine Greyling

PurposeThe primary purpose of the study is to analyse the asymmetric effects of public debt on economic growth, using secondary data over the period 1980–2018 in South Africa.Design/methodology/approachThis study estimated a Smooth Transition Regression (STAR) and Nonlinear Autoregressive Distributed Lag (NARDL) approach, using time series data to analyse the asymmetric effect of public debt on economic growth in South Africa.FindingsThe findings revealed a significant nonlinear relationship between public debt and economic growth in South Africa. The results showed an inverted U-Shape relationship, implying a significant positive influence of public debt on economic growth during the low-debt regime. While during a high-debt regime, public debt exerted a significant negative effect on economic growth. The study proposes that policymakers ought to consider targeting a sustainable debt threshold that would enhance efficient use of public finances consistent with long-term economic prosperity.Originality/valueThis paper asymmetries and threshold effects between public debt and economic growth in South Africa, through the application of dynamic nonlinear models namely, Smooth Transition Regression (STAR) and Nonlinear Autoregressive Distributed Lag (NARDL) approach. Studies on the relationship under examination have predominantly been confined in advanced economies. This study provides rigorous empirical evidence from the South African perspective.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lindokuhle Talent Zungu ◽  
Lorraine Greyling ◽  
Nkanyiso Mbatha

PurposeThe authors investigate the growth–inequality relationship, using panel data from 13 Southern African Development Community (SADC) countries over the period 1990–2015, to test the validity of the Kuznets and Tribble theories. Furthermore, the authors seek to determine the threshold level at which excessive growth hampers inequality.Design/methodology/approachThe panel smooth transition regression (PSTR) model has several stages. The authors applied the Lagrange multiplier (LM) test to find the appropriate transition variable amongst all candidate variables, to assess the linearity between economic growth and income inequality and to find the sequence for selecting the order m of the transition function. The authors then estimated the PSTR model, but before facilitating the results, the authors first used the wild cluster bootstrap (WCB)–LM-type test to assess the appropriateness of the selected transition.FindingsThe authors found that at lower growth, income inequality tends to be lower, while if growth increases above US$8,969, inequality tends to increase in the SADC region. The findings combine into a U-shaped relationship, contradicting the Kuznets and Tribble theories.Originality/valueThe contribution of this paper is that it becomes the first to provide the threshold level at which excessive growth increases inequality in the selected countries. This study proposes that policymakers should focus on activities aimed at stimulating growth, in other words, activities such as spending more on infrastructure, drawing up a suitable investment portfolio and spending on technological investment for countries that are below US$8,969. An improvement in these activities will create job opportunities, which in turn will add to economic growth and thus lead to lower income inequality and better social cohesion.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Carole Ibrahim

Purpose The purpose of this paper is to empirically examine the effect of corruption on public debt and economic growth in 20 developing countries over the period 1996-2018. Design/methodology/approach This study makes use of the autoregressive distributed lag (ARDL) model to detect the long-term relationships, on the one hand, between corruption and public debt and, on the other hand, between corruption and economic growth. Findings The empirical results reveal that corruption increases the debt-to-GDP ratio and that the interactions between corruption and public revenues and between corruption and public spending have a positive influence on public debt in the long run. The estimations also show that high corruption hampers long-term economic growth and increases the negative effect of public debt on economic growth in developing countries. Originality/value While corruption is a prevalent phenomenon in most developing countries, the literature still lacks empirical examination of its economic effects. This study fills this gap with the aim of highlighting that high corruption hinders development in developing nations. This study also examines the impact of the interactions between corruption and components of the fiscal balance on public debt. Moreover, while the existing empirical literature uses regression techniques, this paper uses a panel ARDL approach to detect the long-term effects of corruption.


2018 ◽  
Vol 12 (2) ◽  
pp. 284-296 ◽  
Author(s):  
Mukhtar Danladi Galadima ◽  
Abubakar Wambai Aminu

Purpose The purpose of this paper is to identify the level of natural gas consumption that can be adjudged as capable of improving the growth of the Nigerian economy, to investigate whether natural gas consumption is at optimal level in Nigeria and to examine the nature and rate to which natural gas consumption affects economic growth in Nigeria at low and high regimes. Design/methodology/approach The tool used to achieve the objectives of the paper is the smooth transition regression (STR) model. Findings The findings of the paper are that the relationship between natural gas consumption and economic growth in Nigeria is asymmetric, where the natural gas consumption threshold value in the country is 9085.36 standard cubic meters, whereas the level of its consumption in the country is below the optimal level. Further, in both low and high regimes, natural gas consumption has been found to have a positive and significant impact on economic growth in Nigeria. Practical implications The policy implication of the paper is that natural gas consumption in Nigeria should not be less than 9085.36 standard cubic meters and the country should intensify efforts to increase the level of natural gas consumption, as it is below the optimal level and its consumption bolsters the growth of Nigerian economy. Originality/value What is new in this paper is its ability to use the STR model. To the best of the authors’ knowledge, such methodology has not been adopted before in such a relation.


2020 ◽  
Vol 11 (4) ◽  
pp. 559-571
Author(s):  
Andrew Phiri

PurposeThe purpose of our study is to examine the inflation–growth nexus relationship for Swaziland between 1975 and 2016 with the intention of estimating an optimal level of inflation, which maxims economic growth or minimizes growth losses.Design/methodology/approachWe estimate on an endogenous monetary model of economic growth augmented with a credit technology using a smooth transition regression (STR) model, which allows us to estimate an optimal inflation rate characterized by smooth transition between different inflation regimes.FindingsOur empirical results point to an inflation threshold estimate of 7.64 per cent at which economic growth gains are maximized or similarly growth losses are minimized. In particular, we find that above this threshold economic agents may be able to protect themselves from inflation through credit technology and a more urbanized population and yet such high inflation adversely affects the influence of exports on economic growth. This noteworthy since a majority of government revenues is from trade activity via the country's affiliation with the Southern African Customs Union (SACU).Originality/valueThe major contribution of this paper is that it becomes the first to draw directly from endogenous growth theory to estimate the inflation threshold for any African country, which will hopefully pave a way for similar studies on other African countries.


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