Driving forces of Turkey's transportation sector CO2 emissions: An LMDI approach

Işık, Mine; Sarıca, Kemal; Ari, İzzet

doi:10.1016/j.tranpol.2020.07.006

Cited by 73 publications

(26 citation statements)

References 39 publications

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“…The empirical studies based on diverse samples provide evidence on transport and emission nexus. Timilsina and Shrestha (2009) for Asian economies, Chandran and Tang (2013) for ASEAN countries, Zhang and Nian (2013) for China, Saboori et al (2014) for OECD economies, Shahbaz et al (2015) for Tunisia, Saidi and Hammami (2017) for a panel of 75 economies, Danish et al (2018) and Shouket et al (2019) for Pakistan, Du et al (2019) for China, Ahmed et al (2020) for India, Isik et al (2020) for Turkey, Mangones et al (2020) for Columbia, Hossain et al (2020) for Bangladesh, and Go et al (2020) for Malaysia explored transport and environment nexus. These studies assume a symmetric relationship between transportation and emissions.…”

Section: Introductionmentioning

confidence: 99%

Pakistan management of green transportation and environmental pollution: a nonlinear ARDL analysis

Sohail

Ullah

Majeed

et al. 2021

Environ Sci Pollut Res

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Modern advances in nonlinear modeling have exposed that nonlinear models yield more robust results compared with linear models. Research on the effect of air-railway transportation on environmental pollution has now arrived into a new way of asymmetry analysis and captured the real issue among the nexus. This study aims to inspect the asymmetric impact of air-railway transportation on environmental pollution in Pakistan by using annual time series data from 1991 to 2019. The findings show that positive shock in air passenger carried and railway passenger carried increases carbon emissions, which implies that 1% increase in air passenger carried (railway passenger carried) enhances environmental pollution by 0.21% (0.32%) in long run in Pakistan. While positive shock in railway passengers carried increases environmental pollution and negative shock in railway passengers carried decreases the environmental pollution in the short run. The outcomes have also confirmed the short- and long-run asymmetries in Wald statistics. The findings are country-specific and it would be regionally specific.

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Section: Introductionmentioning

confidence: 99%

Pakistan management of green transportation and environmental pollution: a nonlinear ARDL analysis

Sohail

Ullah

Majeed

et al. 2021

Environ Sci Pollut Res

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show abstract

“…The recent decomposition studies for Turkey were made for different sectors, different years, and different length of time. A recent study by Isik, Sarica, and Ari (2020) employed Logarithmic Mean Divisia Index (LMDI) method to reveal the factors on CO2 emissions from transportation sector between 2000 and 2017, and found that economic growth is the principal driver, followed by population and emission intensity. Kim, Kim, Kim and Park (2020) used LMDI method to analyze electricity generation sector in 36 OECD countries in the periods 1995-2008 and 2008-2017, and showed that while European countries have significantly reduced carbon emissions from GDP growth through various policy efforts such as electricity intensity (demand), closing down of thermal generation (supply), and change in energy mix (supply), but non-European countries including Turkey could not have accomplished to reduce emissions from GDP growth.…”

Section: Literature Reviewmentioning

confidence: 99%

Üreti̇m Mi̇, Tüketi̇m Mi Beli̇rleyi̇ci̇? 1990-2015 Yillarinda Türkiye Co2 Emisyonlarinin Kaynaklari Ve Poli̇ti̇ka Etki̇leri̇

Alkan

Binatlı

2021

Hacettepe Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi

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Turkey's CO2 emissions have been steadily increasing since the 1990s. Determining influences of socioeconomic factors behind this increase can help identify which sectors and what types of policies should be prioritized to go into action. This paper identifies the main contributors to CO2 emissions change within five-year intervals during 1990-2015 by adopting the Structural Decomposition Analysis (SDA) method. The results show that CO2 emissions increase was driven by per capita expenditure and population factors, while emission coefficient factor had a reducing effect on emissions. As the production side factors fell pretty behind the consumption side factors, net emissions were positive and the actual determiner in CO2 emissions was found as consumption. The most contributing sectors were Electricity, Land Transportation and Mineral. Speeding up renewable energy investments and continuing energy efficiency measures, placing a carbon tax on electricity and oil consumption, promoting public transport and use of clean fuels and vehicles, slowing down construction and raising consumer awareness to change their consumption behavior, particularly to reduce demand for high emitting products and services should be the top priority policies.

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“…The decomposition relations between the carbon emission of the electricity generations and the economic in China was analyzed in [3] using the LMDI method. The driving forces of the carbon emission of Turkey's transportation sector, the commercial building sector, and the industrial sector in Shanghai, China, were investigated in [4], [5], and [6], respectively. The CO 2 emissions in China from fossil energy were studied in [7].…”

Section: Introductionmentioning

confidence: 99%

Feasible Region Evaluation of Urban Industry Development for Achieving the Carbon Peak and Neutrality

Li¹,

Hu²,

Li³

et al. 2022

J. Phys.: Conf. Ser.

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The carbon peak/neutrality is one of the most concerning matters recently for both government and energy enterprises. With the establishment of new low-carbon-orientated policies, the development of urban industries should be comprehensively reviewed. For achieving the carbon peak and neutrality, this paper proposes techniques to forecast the carbon emission for the industry sector, and evaluate the feasible region of the urban industry development. First, an improved STIRPAT model is developed to analyze the relations between carbon emission and various impact factors. Then, the carbon emission of the industrial sector is forecast. Moreover, an optimization model is developed to analyze the feasible region of different factors around the forecast point. Finally, the industries in Suzhou are analyzed as an example to validate the proposed technique.

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Driving forces of Turkey's transportation sector CO2 emissions: An LMDI approach

Cited by 73 publications

References 39 publications

Pakistan management of green transportation and environmental pollution: a nonlinear ARDL analysis

Pakistan management of green transportation and environmental pollution: a nonlinear ARDL analysis

Üreti̇m Mi̇, Tüketi̇m Mi Beli̇rleyi̇ci̇? 1990-2015 Yillarinda Türkiye Co2 Emisyonlarinin Kaynaklari Ve Poli̇ti̇ka Etki̇leri̇

Feasible Region Evaluation of Urban Industry Development for Achieving the Carbon Peak and Neutrality

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