Investigation of key contributors of CO2 emissions in extended STIRPAT model for newly industrialized countries: A dynamic common correlated estimator (DCCE) approach

Ghazali, Ahmad; Ali, Ghulam

doi:10.1016/j.egyr.2019.02.006

Cited by 149 publications

(64 citation statements)

References 40 publications

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“…For instance, relying on data spanning 2005–2016, Ma et al (2019) provided evidence of a well‐knitted association between CO 2 emissions and EUS. Similarly for 10 industrialized countries, with data spanning 1991–2013, Ghazali and Ali (2019) discovered that population drives CO 2 emissions. A feedback causality was also discovered between population and growth, and between CO 2 emissions and energy intensity.…”

Section: Literature Reviewmentioning

confidence: 97%

The determinants and interrelationship of carbon emissions and economic growth in African economies: Fresh insights from static and dynamic models

Nathaniel

Barua

Hussain

et al. 2020

Journal of Public Affairs

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This study explores the interrelationship between CO2 emissions and economic growth in selected Africa economies from 1990 to 2014 providing evidence from both static and dynamic models. Results show that increases in energy use have a significant and positive effect on economic growth; which goes to show that growth in Africa is actually energy dependent. Further findings suggest that CO2 emissions have no significant contemporaneous effect, however, a significant and negative effect at a one‐period lag on economic growth. The significance of the impacts is consistently confirmed by both the static and dynamic estimations. Also, trade adds to economic growth and also contributes to environmental deterioration in Africa. There is a dire need for Africa to adjust its energy portfolio by shifting to clean energy sources which will enhance sustainable economic growth without deteriorating the environment.

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Section: Literature Reviewmentioning

confidence: 97%

The determinants and interrelationship of carbon emissions and economic growth in African economies: Fresh insights from static and dynamic models

Nathaniel

Barua

Hussain

et al. 2020

Journal of Public Affairs

View full text Add to dashboard Cite

show abstract

“…As for industrial structure upgrading, it has been verified that industrial structure upgrading is a significant driving factor of CO 2 emissions (Li et al, 2017;Chen et al, 2019;Tian et al, 2019), and most studies indicate that industrial structure upgrading can reduce CO 2 emissions significantly. In terms of population, Dong et al (2018a) and Li et al (2017) propose that population can significantly contribute to CO 2 emissions, a proposition supported by Dong et al (2020b), Ghazali and Ali (2019), and Wang et al (2019). In contrast, Wang et al (2017b) oppose the above arguments and reveal a negative correlation between population size and CO 2 emissions.…”

Section: Studies On the Determinants Of Co 2 Emissionsmentioning

confidence: 99%

Re-Estimating the Impact of Natural Gas on Global Carbon Emissions: The Role of Technological Innovation

2021

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To investigate the nexus between natural gas consumption, global carbon dioxide (CO2) emissions, and technological innovation, this study employs a balanced panel dataset of 73 countries for the period 1990–2019 based on the fixed effect and random effect estimation methods. Considering potential heterogeneity in the natural gas-CO2 nexus, this study divides the 73 countries into regional comprehensive economic partnership (RCEP) countries and non-RCEP countries for comparative analysis. The main findings indicate that natural gas consumption can significantly promote CO2 emissions for the full sample and non-RCEP countries, and improved technological innovation can help alleviate CO2 emissions from natural gas consumption. In the RCEP countries, technological innovation can improve the carbon emission reduction effect of natural gas. Furthermore, economic growth and global CO2 emissions show an inverted U-shaped relationship, which confirms the environmental Kuznets curve hypothesis. Finally, several policy implications are provided to reduce global CO2 emissions and promote green recovery in the post-epidemic era.

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“…These scholars argued that trade openness is conducive to expanding the technology spillover effect between global countries, which consequently improves their national energy efficiency. Moreover, many scholars have investigated the role of population in CO 2 emissions, and claimed that population has a significantly positive impact on CO 2 emissions (Ghazali and Ali, 2019;Wang et al, 2019;Dong et al, 2020b). Other factors are also considered as contributing to CO 2 emissions.…”

Section: Research On the Determinants Of Co 2 Emissionsmentioning

confidence: 99%

How Does Industrial Structure Upgrading Affect the Global Greenhouse Effect? Evidence From RCEP and Non-RCEP Countries

et al. 2021

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This study empirically investigates the impact of industrial structure upgrading on global carbon dioxide (CO2) emissions by employing a balanced dataset of 73 countries over the period 1990–2019. After conducting a series of empirical tests, we used the fixed effect (FE) and random effect (RE) methods to estimate the econometric model, and divided the full sample data into two subsamples, i.e., Regional Comprehensive Economic Partnership (RCEP) countries and non-RCEP countries, for heterogeneous analysis. This study also examines the mediating role of technological innovation in the relationship between industrial structure upgrading and global CO2 emissions. The main findings indicate that: (1) both industrial structure upgrading and technological innovation show significant negative impacts on CO2 emissions in the global panel, the RCEP countries, and the non-RCEP countries; (2) industrial structure upgrading not only affects CO2 emissions directly, but also has an indirect impact on global CO2 emissions by promoting technological innovation; and (3) the environmental Kuznets curve (EKC) hypothesis is verified in this study; in other words, both economic growth and CO2 emissions exhibit a significant inverted U-shaped relationship in the global panel, the RCEP countries, and the non-RCEP countries. Finally, we highlighted some important policy implications with respect to promoting industrial structure upgrading and mitigating the greenhouse effect.

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Investigation of key contributors of CO2 emissions in extended STIRPAT model for newly industrialized countries: A dynamic common correlated estimator (DCCE) approach

Cited by 149 publications

References 40 publications

The determinants and interrelationship of carbon emissions and economic growth in African economies: Fresh insights from static and dynamic models

The determinants and interrelationship of carbon emissions and economic growth in African economies: Fresh insights from static and dynamic models

Re-Estimating the Impact of Natural Gas on Global Carbon Emissions: The Role of Technological Innovation

How Does Industrial Structure Upgrading Affect the Global Greenhouse Effect? Evidence From RCEP and Non-RCEP Countries

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