Does waste energy usage mitigate the CO2 emissions? A time-frequency domain analysis

Bilgili, Faik; Kuşkaya, Sevda; Ünlü, Fatma; Gençoğlu, Pelin

doi:10.1007/s11356-019-07253-w

Cited by 26 publications

(7 citation statements)

References 72 publications

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“…Wavelet analysis is one of the most commonly used frequency analysis in non-stationary time series data analysis. The advantage of the wavelet analysis relates to its flexibility in the use of various non-stationary signals ( Aguiar-Conraria and Joana Soares, 2011 ; Bilgili, 2015 ; Bravo et al, 2020 ; Jiang and Yoon, 2020 ; Kuşkaya and Bilgili, 2020 ; Tiwari et al, 2020 ; Bilgili et al, 2020a , 2020b ). As wavelets are structured over finite intervals of time and are not perforce homogeneous over time, they are localised in time scale ( Ramsey, 2014 ).…”

Section: Methodsology and Datamentioning

confidence: 99%

Is gold favourable than bitcoin during the COVID-19 outbreak? Comparative analysis through wavelet approach

et al. 2021

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The novel coronavirus (COVID-19) has tremendously oscillated the global financial markets. Consequently, investors feel pressured to find safe-haven investments during the pandemic crisis. Numerous studies have evaluated bitcoin's safe-haven properties during the COVID-19; however, the present study considered gold as a potential safe-haven for investors of renowned stock markets of Asia, Europe, and the US. The present investigation computed the ratio of gold to bitcoin (Gold_Bitcoin) and compared the safe-haven properties of gold in contrast to bitcoin. The present study analysed the Morlet Wavelet approach and found that most of the time during the COVID-19, gold investments proved to be more beneficial than bitcoin. Remarkably, the findings highlighted that the Gold_Bitcoin ratio increased in higher and lower frequencies combined with CAC40. In the long run, the return on investments in gold increased in contrast to bitcoin returns pooled with DAX30. Also, the Gold_Bitcoin ratio of the US stock market increased during the one-week and one-month cycles of January and August. Likewise, the Hang Seng Index caused the Gold_Bitcoin ratio to rise at a much higher frequency (i.e., the second half of January, the first half of February and April, and the first half of June and August), whereas IBEX35 surged Gold_Bitcoin at a lower frequency (i.e., during January, February, and August). In higher frequency bands, LSE increased the Gold_Bitcoin ratio (i.e., in February and March); nevertheless, Gold_Bitcoin showed a positive connection with FTSEMIB in the one-to-two month's frequency band (i.e., throughout January, February, and August). Interestingly, the returns on the Gold_Bitcoin ratio increased in the SSEC stock market in the high-frequency band (i.e., during March, May, and July 2020).

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Section: Methodsology and Datamentioning

confidence: 99%

Is gold favourable than bitcoin during the COVID-19 outbreak? Comparative analysis through wavelet approach

et al. 2021

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“…Many studies have used the EKC framework to analyze the relationship of environmental and economic variables ranging from CO 2 , carbon footprints, trade openness, urbanizations, democracy, financial crises to energy sources (Grossman and Krueger 1991 ; Dinda, 2004 ; Dogan and Seker 2016 ; Bilgili et al, 2019a ; Özcan and Öztürk 2019 ; Peng et al 2020 ).…”

Section: Literature Reviewmentioning

confidence: 99%

The roles of economic growth and health expenditure on CO2 emissions in selected Asian countries: a quantile regression model approach

Bilgili

Kuşkaya

Khan

et al. 2021

Environ Sci Pollut Res

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Continuous economic growth and the rise in energy consumption are linked with environmental pollution. Demand for health care expenditure increased after the COVID-19 pandemic. This study is interesting in modeling the nexus between public and private health expenditure, carbon dioxide emissions, and economic growth. To this end, the present study analyzed the nexus between public and private health care expenditure, economic growth, and environmental pollution for 36 Asian countries for the period 1991–2017. FMOLS, GMM, and quantile regression analysis confirm the EKC hypothesis in Asia. Besides, FMOLS and quantile regressions reached the reducing effects of government and private health expenditures on CO 2 emissions. While quantile regression results show that public and private health expenditures can mitigate CO 2 emissions; however, these results differ for various levels of CO 2 . Findings of quantile regression show a significant impact of both public and private health expenditures in reducing CO 2 at the 50 th and 75 th quantiles but results are insignificant for the 25 th quantile. Overall, the paper concludes that both government and private health sectors’ expenditures caused CO 2 emissions to decrease in Asia and that the negative impact of the private health sector on CO 2 emissions is greater than that of the government health sector. The concluding remark is that the higher the health spending, the higher the environmental quality will be in Asia. Hence, the health administrators need to increase public and private health expenditures with an effective cost-service and energy-efficient management approach to reach sustainable health services and a sustainable environment in Asia. Supplementary Information The online version contains supplementary material available at 10.1007/s11356-021-13639-6.

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“…Even if the increase in greenhouse gas concentration is not the only factor in climate change [1], the most crucial factor is the CO2 emissions resulting from industrial and living organism activities [2]. Efforts are made to reduce CO2 emissions through methods such as technological development in production facilities [3], use of waste energy [4], use of renewable energy sources [5], and preference of hydroelectric facilities, which are more harmless than other methods of electricity generation [6]. When analyzed on a sectoral basis, the building sector consumes approximately 50% of the raw materials extracted from the earth [7], is responsible for 36% of global energy use, and is among the leading causes of climate change, with 39% of carbon dioxide emissions originating from energy use [8].…”

Section: Introductionmentioning

confidence: 99%

The Carbon Cost of the Buildings Destroyed in Yalova in the 1999 Marmara Earthquake

TÜRK¹,

NAYAN²,

DOĞAN³

et al. 2023

Int. j. ecosyst. ecol. sci.

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Natural disasters have some environmental impacts as well as economic impacts. For example, when disasters such as earthquakes are not prevented, efforts must be made to minimize the economic and environmental costs that may arise. Although the interest of society and governments in the economic consequences of the earthquake is more intense, environmental effects should also be calculated, and the significance of the situation should be shown. Herein, it estimated the CO2 emissions caused by debris transport from the 1999 Marmara earthquake in Turkey in Yalova, a province of Turkey, and the reconstruction of the destroyed structures. As a result of the calculations, it has been found that 2031 x 10 3 tons of CO2 were released during the transport of debris and reconstruction of 9462 building that was destroyed before the end of their life in Yalova. Moreover, 42% of these emissions are caused by concrete alone. In addition, this value corresponds to 0.73% of the CO2 emitted in Turkey in 1999.

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Does waste energy usage mitigate the CO2 emissions? A time-frequency domain analysis

Cited by 26 publications

References 72 publications

Is gold favourable than bitcoin during the COVID-19 outbreak? Comparative analysis through wavelet approach

Is gold favourable than bitcoin during the COVID-19 outbreak? Comparative analysis through wavelet approach

The roles of economic growth and health expenditure on CO2 emissions in selected Asian countries: a quantile regression model approach

The Carbon Cost of the Buildings Destroyed in Yalova in the 1999 Marmara Earthquake

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