The relationship between carbon dioxide emission and economic growth: Hierarchical structure methods

Deviren, Şeyma Akkaya; Deviren, Bayram

doi:10.1016/j.physa.2016.01.085

Cited by 33 publications

(12 citation statements)

References 44 publications

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“…This analysis identified that increase in GDP growth depends positively on the emission of GHGs. Therefore, the relationship between the CO 2 emission and economic growth has a significant implication for the environment and economy (Deviren & Deviren 2016) of Bangladesh, as the country has put more focus on its economic development in recent decades.…”

Section: Resultsmentioning

confidence: 99%

The implications of population growth and climate change on sustainable development in Bangladesh

Mondal

2019

Jàmbá Journal of Disaster Risk Studies

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Bangladesh is characterised by its large population on a small land, rapid and unplanned urbanisation, rising urban inequalities, food and nutritional insecurity and lower level of resilience to climate change. These combined effects are major threats to food security of the country in the near future. This paper examined the implications of population growth and climate change on sustainable development of Bangladesh. This research was based on the analysis of chronological data and synthesis of literature on population growth, greenhouse gases emission, climate change, food security and sustainable development, mainly contextualised on Bangladesh. The analysis found that the population of Bangladesh has almost doubled between 1980 and 2015. The country shared around 2.2% (in 2013) of global population and contributed only 0.19% of global carbon dioxide emission. On the contrary, climate change is the biggest challenge for the country. An increase in temperature could decline rice and wheat production. Moreover, average monsoon rainfall would be increased as a result of increased temperature. The increase in temperature and rainfall may lead to early arrival and late departure of the monsoon season or an increase in mean daily rainfall intensity. Population growth and climate change have multiple implications on development. Therefore, sustainable development may be difficult to attain if climate change continues to jeopardise economic growth, environmental stability as well as the social progress of Bangladesh.

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Section: Resultsmentioning

confidence: 99%

The implications of population growth and climate change on sustainable development in Bangladesh

Mondal

2019

Jàmbá Journal of Disaster Risk Studies

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“…The Environmental Kuznets curve proposed by Grossman and Krueger [12] is a helpful tool for exploring the relationship between carbon dioxide emissions and economic growth. Generally speaking, there exists a correlation between economic growth and CO 2 emissions, as suggested by Ozturk I [13], Saboori B [14], Shahbaz M [15], and Deviren S A [16]. To be exact, the causalities between CO 2 emissions and economic growth were proven to be unidirectional [17,18] or bidirectional [15,17,19].…”

Section: Literature Reviewmentioning

confidence: 99%

Carbon Dioxide Emissions, Economic Growth, and Selected Types of Fossil Energy Consumption in China: Empirical Evidence from 1965 to 2015

2017

Sustainability

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This paper empirically investigates the interactions among CO 2 emissions, economic growth, and three selected types of fossil energy consumption (coal, gas, and oil) using time series data from China over the period 1965-2015. Classic econometric analysis technologies including the Johansen cointegration test, the vector error correction model (VECM), and the Granger causality test based on VECM are employed to meet our objectives, and the presence of breaks in the data is also considered. Cointegration test result supports the existence of a long-run equilibrium relationship among the five variables, and the error correction mechanisms of the system involving the five variables are proven to be effective by VECM. Additionally, the Granger causality test based on VECM reveals that the bidirectional causalities between GDP and coal consumption, between GDP and gas consumption, and between coal consumption and CO 2 emissions and unidirectional causalities running from GDP and oil consumption to CO 2 emissions, from GDP to oil consumption, and from coal consumption to oil and gas consumption are found. Furthermore, several policy implications are proposed in the final section of this paper based on the empirical results.

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“…By exploring the auto-regressive distributed lag (ARDL) model, reference [46] analyzed the validity of the Environmental Kuznets Curve (EKC) with the indicators of CO 2 emissions and the ecological footprint. Reference [47] built a hierarchical structure method, and verified the connection with CO 2 emissions and economic growth. Reference [48] predicted the CO 2 emission by using Support Vector Machine (SVM).…”

Section: Multiplicative Decompositionmentioning

confidence: 99%

Scenario Analysis of Carbon Emissions of Beijing-Tianjin-Hebei

Zhou

Jin

et al. 2018

Energies

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This paper utilizes the generalized Fisher index (GFI) to decompose the factors of carbon emission and exploits improved particle swarm optimization-back propagation (IPSO-BP) neural network modelling to predict the primary energy consumption CO 2 emissions in different scenarios of Beijing-Tianjin-Hebei region. The results show that (1) the main factors that affect the region are economic factors, followed by population size. On the contrary, the factors that mainly inhibit the carbon emissions are energy structure and energy intensity. (2) The peak year of carbon emission changes with the different scenarios. In a low carbon scenario, the carbon emission will have a decline stage between 2015 and 2018, then the carbon emission will be in the ascending phase during 2019-2030. In basic and high carbon scenarios, the carbon emission will peak in 2025 and 2028, respectively.

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The relationship between carbon dioxide emission and economic growth: Hierarchical structure methods

Cited by 33 publications

References 44 publications

The implications of population growth and climate change on sustainable development in Bangladesh

The implications of population growth and climate change on sustainable development in Bangladesh

Carbon Dioxide Emissions, Economic Growth, and Selected Types of Fossil Energy Consumption in China: Empirical Evidence from 1965 to 2015

Scenario Analysis of Carbon Emissions of Beijing-Tianjin-Hebei

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