CO 2 emissions, urban population, energy consumption and economic growth in selected African countries: A Panel Smooth Transition Regression (PSTR)

2020 ◽  
Vol 44 (3) ◽  
pp. 319-333 ◽  
Author(s):  
Teboho Jeremiah Mosikari ◽  
Joel Hinaunye Eita
2011 ◽  
Vol 2 (5) ◽  
pp. 233-242
Author(s):  
Mohsen Mehrara

This paper examines the relationships between the energy consumption, GDP growth and emission, using Panel Smooth Transition Regression (PSTR) model for BRIC countries over the period 1960 –2006. Our results reveal that environmental quality in these countries has increasingly suffered from high energy consumption. Moreover, rapid economic growth and international trade in energy intensive goods have progressively increased energy consumption. This suggests that excessively high economic growth is a curse for environmental quality and energy conservation policies to reduce unnecessary wastage of energy should be kicked off for energy-dependent BRIC countries.


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.


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.


2020 ◽  
pp. 0958305X2093768 ◽  
Author(s):  
Huthaifa Alqaralleh

This study seeks, within the extended framework of the so-called environmental Kuznets curve (EKC), to analyse the nonlinear effect of economic growth and energy consumption on environmental pollution (measured by CO2 emissions) in 30 countries, over the period 2000 – 2018. The panel smooth transition regression (PSTR) model is used to allow such a relationship between variables in different economic regimes to be determined. According to the analysis results, this study strengthens the idea that the relationship can be described as a shaped business cycle, in which economic growth first increases environmental degradation, and then, after a certain growth (income) level has been reached, reduces it. This business cycle relationship suggests that environmental improvements will eventually occur as economies grow. Another implication of these results is the importance of using energy in a greener way to combat climate change and to sustain economic development.


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