Economic growth and CO2 emissions: an investigation with smooth transition autoregressive distributed lag models for the 1800–2014 period in the USA

2017 ◽  
Vol 25 (1) ◽  
pp. 200-219 ◽  
Author(s):  
Melike Bildirici ◽  
Özgür Ömer Ersin
Keyword(s):  
Economic Growth ◽  
Co2 Emissions ◽  
Smooth Transition ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Distributed Lag Models ◽  
The Usa ◽  
Smooth Transition Autoregressive

Investigating asymmetric effects of public debt on economic growth in South Africa: a smooth transition regression (STAR) approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bongumusa Prince Makhoba ◽  
Irrshad Kaseeram ◽  
Lorraine Greyling
Keyword(s):  
Economic Growth ◽  
South Africa ◽  
Public Debt ◽  
Smooth Transition ◽  
Content Type ◽  
Asymmetric Effects ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Smooth Transition Regression ◽  
Nonlinear Autoregressive

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.

scholarly journals Does the Export-Led Growth Hypothesis Hold for Services Exports in Emerging Economies?

2021 ◽  
Vol 14 (27) ◽  
pp. 63-75
Author(s):  
Okpeku Lilian ONOSE ◽  
◽  
Osman Nuri ARAS ◽  
Keyword(s):  
Economic Growth ◽  
Emerging Economies ◽  
Emerging Countries ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Per Capita ◽  
Positive Effect ◽  
Growth Hypothesis

The export-led growth hypothesis states a positive relationship between the growth of exports and long-run economic growth. This study examines the validity of the export-led growth hypothesis of services exports in 5 emerging economies, including Brazil, India, Nigeria, China, and South Africa (BINCS), for the period of 1980-2019. The study employs the panel mean group autoregressive distributed lag (ARDL) procedure to identify a causal relationship between services exports and gross domestic product (GDP) per capita. The findings show that the export-led growth hypothesis in services only has a positive effect on economic growth in the short run while other variables, including foreign direct investment (FDI), gross capital formation, and labour, increase economic growth in the long run. Hence, the emerging countries should focus more on internal investment to boost growth in the long and short run.

scholarly journals INSTITUTIONAL QUALITY AND ECONOMIC GROWTH IN JORDAN: NEW EVIDENCE USING AN AUTOREGRESSIVE DISTRIBUTED LAG (ARDL) MODEL

2021 ◽  
Vol 16 (3) ◽  
pp. 204-219
Author(s):  
ZULKEFLY ABDUL KARIM ◽  
◽  
MOHAMMAD QASIM ALABED QUSAI ◽  
FATHIN FAIZAH SAID ◽  
MOHD AZLAN SHAH ZAIDI
Keyword(s):  
Economic Growth ◽  
Institutional Quality ◽  
Ardl Model ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
New Evidence

scholarly journals The link between urbanization and air pollution in Turkey: Evidence from dynamic Autoregressive Distributed Lag simulations

2021 ◽  
Author(s):  
Alper Aslan ◽  
BUKET ALTINOZ ◽  
BAKİ OZSOLAK
Keyword(s):  
Air Pollution ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Sustainable Growth ◽  
Similar Relationship ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Positive Shock ◽  
The Relationship

Abstract This study investigates the relationship between urbanization and air pollution in Turkey. Dynamic ARDL method was used for the period 1960–2014. According to the findings, there is a positive and statistically significant relationship between long-term urbanization and Co2. If urbanization increased by 1%, carbon emissions increased by 0.02%. There is a similar relationship between the shocks that will occur in population growth and Co2 emission in the long term. However, there is a negative and statistically insignificant relationship between the two variables. In the relationship between GDP and Co2, there is a positive relationship in the long term. GDP increase of 1% increases Co2 emissions by 0.11%. There is a similar relationship between long-term GDP shocks and Co2 emissions. According to short-term analysis results, energy consumption increases Co2 emissions by the same rate as GDP. However, the astonishing result of the study emerges here. Empirical results show that a long-term positive shock in energy consumption reduces CO2 emissions and a negative shock increases pollution. According to these results, Turkey has not reached the point of sustainable growth. For this reason, this developing country needs to make regulatory implementations and determine future policies for these impacts affecting air pollution.

Investigating the Roles of Physical Infrastructure, Financial Development and Human Capital on Economic Growth in Bangladesh

2020 ◽  
Vol 12 (2) ◽  
pp. 154-175
Author(s):  
Faroque Ahmed ◽  
Md. Jamal Hossain ◽  
Mohammad Tareque
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Financial Development ◽  
Causality Test ◽  
Distributed Lag ◽  
Dynamic Relationship ◽  
Autoregressive Distributed Lag ◽  
Physical Infrastructure ◽  
Long Term Impact

This article investigates the dynamic relationship among physical infrastructure, financial development, human capital and economic growth in Bangladesh, employing Autoregressive Distributed Lag (ARDL) bound co-integration and Granger causality test for the period 1985–2019. The study finds a significantly positive long-term impact of physical infrastructure and human capital on economic growth. However, the effect of financial development on growth is found to be negative, and the result suggests that financial development will take place with economic growth. From the policy perspective, this study emphasises increasing investment in physical infrastructure and human capital for Bangladesh to foster long-term economic growth.

Sign in / Sign up

Export Citation Format

Share Document