Economic impact of CO2 emissions on Thailand's growth and climate change mitigation policy: A modelling analysis

Hoa, Tran Van; Limskul, Kitti

doi:10.1016/j.econmod.2013.04.019

Cited by 30 publications

(20 citation statements)

References 33 publications

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“…In this context, several studies have considered the estimation using dynamic panel data (Du et al, 2012;Narayan et al, 2016). Van Hoa and Limskul (2013) suggested that 'a more appropriate approach is to build plausible theoretical GCO 2 dynamic single or simultaneous structural equation models that assume and test for the possibility of causality and reverse causality (endogeneity) of growth and CO 2 emissions' (p. 2). Consequently, they developed an adequate dynamic policy modelling to assess the reverse and directional causality between a pollutant (CO 2 emissions) and the economic growth in Thailand under the EKC context.…”

Section: New Methodological Critiques Of the Ekcmentioning

confidence: 99%

Environmental Kuznets curve bibliographic map: a systematic literature review

Pincheira

Zúñiga

2020

Accounting & Finance

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This paper reviews the environmental Kuznets curve (EKC) literature, which postulates an inverted-U association between pollutants and economic output, suggesting that economic growth initially leads to greater environmental deterioration at low levels of income, but that factors may eventually cause an improvement in environmental quality with further economic development. A systematic review was conducted using the bibliographic map method to identify the main research streams and to identify possible gaps and areas for future research. Six research streams were identified: testing the basic EKC equation, critique of EKC, determinants of EKC, review of EKC, a nexus of income-energy consumption and new environmental indicators.

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Section: New Methodological Critiques Of the Ekcmentioning

confidence: 99%

Environmental Kuznets curve bibliographic map: a systematic literature review

Pincheira

Zúñiga

2020

Accounting & Finance

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“…Carbon emissions from energy consumption are among the most important factors that pollute the environment. The relationship between economic growth and carbon emissions has been the subject of many researchers such as Arouri et al (2012), Pao and Tsai (2011), Bastola and Sapkota (2014), Lotfalipour et al (2010), Jahangir et al (2012), Kofi et al (2012, Van and Limskul (2013), Özcan (2013), Shahbaz et al (2013) and Dam (2014). Menyah and Wolde-Rufael (2010) showed that the relationship between economic growth, carbon emissions, and energy consumption is the result of a one-way causality from energy consumption to carbon dioxide emissions.…”

Section: Literature Reviewmentioning

confidence: 99%

Cointegration Between Carbon Emission, Economic Growth, and Energy Consumption: A Comparative Study on Georgia and Turkey

Gün

2019

Uluslararası İktisadi Ve İdari İncelemeler Dergisi

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Energy is one of the most significant tools in the economic development of the countries. The energy required for the economic activities is derived from fossil-based sources that emit intense carbon dioxide. In today's world, carbon emissions, energy consumption, and economic growth are issues of interest for all countries that want to continue growing by establishing a balance between energy and carbon emissions because these fuels cause global warming due to climate change This brief research investigates the relationship between carbon emissions, energy consumption and economic growth using data between the years 1997-2014 period for Turkish and Georgian economies. Panel data cointegration tests are carried to analyze the relationship between the variables. The overall findings indicate that there is a significant relationship between the variables for the Georgian and Turkish economies. Moreover, the tests results are consistent with the general assumption of the Environmental Kuznets Curve hypothesis.

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“…There are a number of CO2 emission related studies in the literature. Hoa et al studied the economic impact of CO2 emissions and its mitigation policies in [20]. Narayan et al [30] used cross-correlation estimation to analyse the association between economic growth and CO2 emissions based on data from 181 countries.…”

Section: Literature Surveymentioning

confidence: 99%

A novel GDP prediction technique based on transfer learning using CO2 emission dataset

Kumar

Muhuri

2019

Applied Energy

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In the last 150 years, CO2 concentration in the atmosphere has increased from 280 parts per million to 400 parts per million. This has caused an increase in the average global temperatures by nearly 0.7 °C due to the greenhouse effect. However, the most prosperous states are the highest emitters of greenhouse gases (especially CO2). This indicates a strong relationship between gaseous emissions and the gross domestic product (GDP) of the states. Such a relationship is highly volatile and nonlinear due to its dependence on the technological advancements and constantly changing domestic and international regulatory policies and relations. To analyse such vastly nonlinear relationships, soft computing techniques has been quite effective as they can predict a compact solution for multi-variable parameters without any explicit insight into the internal system functionalities. This paper reports a novel transfer learning based approach for GDP prediction, which we have termed as 'Domain Adapted Transfer Learning for GDP Prediction. In the proposed approach per capita GDP of different nations is predicted using their CO2 emissions via a model trained on the data of any developed or developing economy. Results are comparatively presented considering three well-known regression methods such as Generalized Regression Neural Network, Extreme Learning Machine and Support Vector Regression. Then the proposed approach is used to reliably estimate the missing per capita GDP of some of the war-torn and isolated countries.

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Economic impact of CO2 emissions on Thailand's growth and climate change mitigation policy: A modelling analysis

Cited by 30 publications

References 33 publications

Environmental Kuznets curve bibliographic map: a systematic literature review

Environmental Kuznets curve bibliographic map: a systematic literature review

Cointegration Between Carbon Emission, Economic Growth, and Energy Consumption: A Comparative Study on Georgia and Turkey

A novel GDP prediction technique based on transfer learning using CO2 emission dataset

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