A decomposition analysis of CO2 emissions from energy use: Turkish case

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

doi:10.1016/j.enpol.2009.06.019

Cited by 159 publications

(23 citation statements)

References 14 publications

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“…Greenhouse gas emissions may cause an unproductive effect on the environment up to a great extent and this issue becomes substantially critical for all countries in the world. Recently, many researchers have been paying attention to the carbon dioxide emissions as one of the essential causes of global warming [23][24][25][26]. There has been an unprecedented increase in population, agricultural production, energy demand and economic growth to achieve food security, and carbon dioxide emissions have also increased over the decades [27][28][29][30].…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Nexus of CO2 Emissions, Economic Growth, Land under Cereal Crops and Agriculture Value-Added in Pakistan Using an ARDL Approach

et al. 2019

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The present study attempts to explore the correlation between carbon dioxide emissions (CO2 e), gross domestic product (GDP), land under cereal crops (LCC) and agriculture value-added (AVA) in Pakistan. The study exploits time-series data from 1961 to 2014 and further applies descriptive statistical analysis, unit root test, Johansen co-integration test, autoregressive distributed lag (ARDL) model and pairwise Granger causality test. The study employes augmented Dickey–Fuller (ADF) and Phillips–Perron (PP) tests to check the stationarity of the variables. The results of the analysis reveal that there is both short- and long-run association between agricultural production, economic growth and carbon dioxide emissions in the country. The long-run results estimate that there is a positive and insignificant association between carbon dioxide emissions, land under cereal crops, and agriculture value-added. The results of the short-run analysis point out that there is a negative and statistically insignificant association between carbon dioxide emissions and gross domestic product. It is very important for the Government of Pakistan’s policymakers to build up agricultural policies, strategies and planning in order to reduce carbon dioxide emissions. Consequently, the country should promote environmentally friendly agricultural practices in order to strengthen its efforts to achieve sustainable agriculture.

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Section: Introductionmentioning

confidence: 99%

Analysis of the Nexus of CO2 Emissions, Economic Growth, Land under Cereal Crops and Agriculture Value-Added in Pakistan Using an ARDL Approach

et al. 2019

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“…Also considering the hypothesis of the EKC, many articles analyse the relationship between energy consumption, economic growth and CO 2 emissions, adding variables related to exports or imports, for example for the cases of the USA [26], China [27], Turkey [28], Kazakhstan [29], Sub-Saharan Africa countries [30], Malaysia [31] and Korea [32]. The relationship between carbon emissions, energy consumption and economic growth is also analysed for the cases of South Africa [33], Turkey [34], the EU members states [35], Indonesia [36], Korea [37], China and India [38][39][40][41][42][43] and worldwide considering several countries [44,45].…”

Section: Literature Reviewmentioning

confidence: 99%

The Influence of Imports and Exports on the Evolution of Greenhouse Gas Emissions: The Case for the European Union

2018

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Part of a country's emissions are caused by producing goods for export to other countries, while a country's own needs also generate emissions in other parts of the world that are associated with the products they import. Our interest was to evaluate the influence of imports and exports of goods and services on greenhouse gas (GHG) emissions in a data panel composed of 30 countries over 21 years. We included as control variables the gross domestic product per capita, employment, an indicator of the economic crisis and a non-linear trend and inferences were performed using a Bayesian framework. The results showed that it was the exports and imports of goods, rather than services, that were related to CO 2-equivalent levels. Exports and imports of goods were very inelastic, albeit less so in the case of the index. In summary, the more a country imports, the higher their GHG emission levels are. However, it is important to point out that when employment rates are higher more energy is consumed and GHG emissions are greater. In richer countries, GDP per capita is the factor that best explains why their emissions are so high.

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“…Though SDA can facilitate a more detailed decomposition analysis involving the interlinkages among the sectors of the economy, the availability of the input-output tables is the limiting factor for applying SDA [7,10]. Therefore, IDA has been widely applied for analysis of CO 2 emissions in different scopes, e.g., international [11][12][13], national [14][15][16], sub-national [17][18][19], or a single sector of the economy [20][21][22]. Index theory is usually applied to establish particular models for IDA.…”

Section: Introductionmentioning

confidence: 99%

Energy-Related CO2 Emission in China’s Provincial Thermal Electricity Generation: Driving Factors and Possibilities for Abatement

et al. 2018

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China's electricity sector mainly relies on coal-fired thermal generation, thus resulting that nearly 50% of China's total CO 2 emissions coming from the electricity sector. This study focuses on the provincial CO 2 emissions from China's thermal electricity generation. Methodologically, Index Decomposition Analysis (IDA), facilitated by the Shapley Index, is applied to discover the driving factors behind CO 2 emission changes at the provincial level. In addition, the Slack-based Model (SBM) is used to identify which provincial power grids should be allocated with a higher (lower) CO 2 reduction burden. The IDA results indicate that economic activity pushed the CO 2 emissions up in all 30 provincial power grids, excluding Beijing and Shanghai; the carbon factor contributed to a decrease in the CO 2 emissions in all 30 provincial power grids, with the exception of Jilin, Guangdong, and Ningxia; though the effect of energy intensity varied across the 30 provinces, it played a significant role in the mitigation of CO 2 emissions in Beijing, Heilongjiang, Liaoning, Jilin, Shanghai, Anhui, and Sichuan. According to the SBM results, the lowest carbon shadow prices are observed in Yunnan, Shanghai, Inner Mongolia, Jilin, Qinghai, Guizhou, Anhui, and Ningxia. These provincial power grids, thus, should face higher mitigation targets for CO 2 emissions from thermal electricity generation.

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A decomposition analysis of CO2 emissions from energy use: Turkish case

Cited by 159 publications

References 14 publications

Analysis of the Nexus of CO2 Emissions, Economic Growth, Land under Cereal Crops and Agriculture Value-Added in Pakistan Using an ARDL Approach

Analysis of the Nexus of CO2 Emissions, Economic Growth, Land under Cereal Crops and Agriculture Value-Added in Pakistan Using an ARDL Approach

The Influence of Imports and Exports on the Evolution of Greenhouse Gas Emissions: The Case for the European Union

Energy-Related CO2 Emission in China’s Provincial Thermal Electricity Generation: Driving Factors and Possibilities for Abatement

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