CO2 emissions of Turkish manufacturing industry: A decomposition analysis

Akbostancı, Elif; Tunç, Gül İpek; Türüt-Aşık, Serap

doi:10.1016/j.apenergy.2010.12.076

Cited by 204 publications

(89 citation statements)

References 15 publications

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“…There are some earlier studies on energy consumption, the tourism sector and economic growth (Oh et al 2010;Akbostancı et al 2011;Liu et al 2011;O'Mahony et al 2012;Pardo et al 2012;Pace 2015;Moutinho et al 2015;Isik et al, 2017bIsik et al, , 2017a. We also discovered different works in the tourism literature that have examined the energy and CO 2 emissions (Liu et al 2011;Scott 2011;Wu and Shi 2011;Lee and Brahmasrene 2013;Lee and Kwag 2013;Katircioglu et al 2014).…”

Section: Literature Reviewmentioning

confidence: 99%

Analyzing the Tourism–Energy–Growth Nexus for the Top 10 Most-Visited Countries

2017

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By using the Emirmahmutoglu-Kose bootstrap Granger non-causality method, this study explores the directions of causality among tourist arrivals, tourism receipts, energy consumption and economic growth for the top 10 most-visited countries (France, the USA, Spain, China, Italy, Turkey, Germany, the United Kingdom, Russia, and Mexico) in the world. This study finds a variety of causal directions between the pair of analyzed variables for each country and the panel. Since cross-sectional dependence exists across the top countries for the analyzed variables, the bootstrap Granger causality test that accounts for the mentioned issue in the estimation process presumably produces reliable and accurate outputs. Further results and policy implications are discussed in this empirical study.

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Section: Literature Reviewmentioning

confidence: 99%

Analyzing the Tourism–Energy–Growth Nexus for the Top 10 Most-Visited Countries

2017

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“…Another important observation is that five out of the 19 Implications from these examples indicate that changing trends of CIs for multiple countries may display not only a greater degree of fluctuating trends, but may also include countries that follow increasing trends of CIs throughout the entire period. The literature analyzing CIs deals mainly with individual countries or sectors within a country [9][10][11][12][13]. An exception is the article by Zhu et al, which analyzed declining rates of CIs for 89 countries from 1980 to 2008 [3].…”

Section: Background Information On Carbon Intensity Of Economic Outpumentioning

confidence: 99%

Dynamic Trends of Carbon Intensities among 127 Countries

2017

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Many countries in the world have been experiencing widely varying rates of change in their carbon intensity (CI) of economic output. The dynamic trend of CI in this research is measured by the progress ratio (PR) from an experience curve (EC) involving 127 countries during the period of 1980-2011. The overall average PR of 88.8% estimated for the total group of 127 indicates a decreasing trend of carbon intensity. This means that each doubling of the cumulative CO 2 emission by this group has reduced carbon intensity by 11.2%. While a majority of 83 countries experienced a decreasing trend with an average PR of 73.1%, the remaining 44 countries have experienced an increasing trend with an average PR of 114.5%. When two different types of EC, classical and kinked, were applied, 73 countries displayed a kinked slope with an average PR of 73.4%, and 54 countries displayed a classical slope with an average PR of 104.2%. Examination of the type of trend and slope of EC suggests the chance of a major improvement of the future CI in the following order: (1) the 35 countries with a classical slope and an increasing trend of CIs; (2) the nine countries with a kinked slope and an increasing trend of CIs; (3) the 19 countries with a classical slope and a decreasing trend of CIs; and (4) the 64 countries with a kinked slope and a decreasing trend of CIs. Further implications from these findings are discussed.

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“…CS change " ∆CS construction`∆ CS f armland " Area re f orestˆβ f orest´f armland`A rea constructionˆβ f armland (9) where CS change is the CO 2 sink from changing of land use types. Area re f orest is the area of the reforestation of marginal arable land, Area construction is the area of cultivated land that was used for construction purpose, and they can be derived from The Second National Land Survey.…”

Section: Co 2 Sinksmentioning

confidence: 99%

“…Currently, studies that use this method to decompose CO 2 emission changes have been reported in all the major departments of many countries, including APEC members [1], the USA [2], the European Union [5], the U.K. [6], Spain [7], Brazil [8], Turkey [9], China [10][11][12], India [13], South Korea [14,15], Denmark, and Greece [16,17]. It was also found that the industry sector and economy-wide decomposition are the two most popular application areas for LMDI studies, followed by the electricity generation sector [18].…”

Section: Introductionmentioning

confidence: 99%

Decomposition of Net CO2 Emission in the Wuhan Metropolitan Area of Central China

Yang

An-lu

2016

Sustainability

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Policy-makers have been sharing growing concerns that climate change has significant impacts on human society and economic activates. Knowledge of the influencing factors of CO 2 emission is the crucial step to reduce it. In this paper, both CO 2 emission and CO 2 sink on a city-level of the nine cities in Wuhan Metropolitan Area are calculated using the Intergovernmental Panel on Climate Change approach. Moreover, the logarithmic mean Divisia index (LMDI) model was employed to decompose the net CO 2 emission from 2001 to 2009. Results showed that (1) the largest amount of CO 2 emission comes from energy while the largest amount CO 2 sink comes from cropland; (2) economic level (S) was the largest positive driving factor for net CO 2 emission growth in the Wuhan Metropolitan Area, population (P) also played a positive driving role, but with very weak contribution; and as negative inhibiting factors, energy structure (E) and energy efficiency (C) significantly reduced the net CO 2 emission.

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CO2 emissions of Turkish manufacturing industry: A decomposition analysis

Cited by 204 publications

References 15 publications

Analyzing the Tourism–Energy–Growth Nexus for the Top 10 Most-Visited Countries

Analyzing the Tourism–Energy–Growth Nexus for the Top 10 Most-Visited Countries

Dynamic Trends of Carbon Intensities among 127 Countries

Decomposition of Net CO2 Emission in the Wuhan Metropolitan Area of Central China

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