A wavelet coherence analysis: nexus between urbanization and environmental sustainability

Kırıkkaleli, Derviş; Sowah, James Karmoh

doi:10.1007/s11356-020-09305-y

Cited by 54 publications

(29 citation statements)

References 66 publications

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“…46 As a matter of fact, the traditional correlation coefficient uses a single value to describe the relationship of two time series, while wavelet consistency can present a matrix to show accurate correlation at each time and frequency point. 20 Another important aspect of applying wavelet method is to overcome the problems of non-stationary time series. The wavelet methodology can easily adjust the time window to low or high frequency, thereby detecting a wide range of frequencies and possessing the ability to capture events that are local in time.…”

Section: Methodsmentioning

confidence: 99%

“…Complex analytic wavelets are ideal for studying oscillations. 44 We employ the most popular Morlet wavelet following Kirikkaleli and Jr 20 study, which provides a good balance between time and frequency localization. 47 The simplified version of Morlet function is written as follows normalω0 denotes the central frequency, empirically determined as 0.6.…”

Section: Methodsmentioning

confidence: 99%

“…And then, we employ partial wavelet analytics to probe into the magnitude and direction of the nexus between carbon and oil markets in different time-scales. This wavelet method not only can offer significant advantages over decomposing the time series into time-frequency domain components and extracting the data features implicit in various frequency scales, 20 but also could eliminate the influence of external factors and obtain accurate results and efficient econometric inferences 1 from the interactions between carbon and oil markets. By doing so, this study expands the theory and methodology of researches on price management mechanism of carbon assets, and pertinently offers specific implications for the related market practitioners.…”

Section: Introductionmentioning

confidence: 99%

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Time–frequency analysis of the interaction mechanism between European carbon and crude oil markets

Zhang

Yun

et al. 2021

Energy & Environment

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The joint behavior of internal and external system brings out a high complexity of the carbon and oil price interactions, such as non-linearity and multi-frequency. This paper innovatively proposed a time-frequency mechanism between carbon and oil markets from the two aspects of internal system and external factors, and introduced a novelty partial wavelet analytics to explore their dynamic multi-scale interactions. We selected the European carbon and Brent oil futures prices data from March 2009 to December 2020, with the consideration of several necessary control variables from the external surroundings. Our findings point to a stable and strong in-phase relationship between the two markets, with oil leading at medium and lower frequencies. However, the mutual leading relationships are especially sensitive during abnormal political events and periods of financial recession and global emergency, which are observed at different periods for intermediate horizons. What is more, the interactions are more diversified and feebler at short-timescale. Under the vision of carbon neutrality, these evidences provide invaluable guidance for regulators to structure a more flexible adjusting mechanism for the risk control of carbon markets, and also help investors to hedge risk aimed at different time horizons.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Time–frequency analysis of the interaction mechanism between European carbon and crude oil markets

Zhang

Yun

et al. 2021

Energy & Environment

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“…The continuous wavelet is constructed from

as a function of k and f have given time series data p ( t ) as follows:

whereas k and f show time and frequency, respectively. “The main role of the k is to define a wavelet's particular location in time by exchanging the wavelet while f controls the distended wavelet for localizing various frequencies.” 35 Equation ( 2 ) presents the modified p(t) with the

coefficient.

This current study employed the wavelet electricity spectrum (WPS) to gather data about the vulnerability of air pollution on renewable energy production.…”

Section: Methodsmentioning

confidence: 99%

“…The continuous wavelet is constructed from

ψ

as a function of k and f have given time series data p ( t ) as follows:

W_{p} ((), k, f) = \int_{- \infty}^{\infty} p ((), t) \frac{1}{\sqrt{f}} ψ ((), \frac{\overset{t - k}{true}}{f}) italicdt,

ψ

coefficient.

p ((), t) = \frac{1}{C_{ψ}} \int_{0}^{\infty} ([], \int_{- \infty}^{\infty} {|W_{p} (a, b)|}^{2} italicda) \frac{db}{b^{2}} .

This current study employed the wavelet electricity spectrum (WPS) to gather data about the vulnerability of air pollution on renewable energy production. Therefore, WPS allows us to capture the vulnerable periods and frequencies of the time series variables.

{WPS}_{p} ((), k, f) = {|W_{p} (k, f)|}^{2} .

As referenced, the upside of the wavelet coherence approach against the customary relationship and causality tests is that the methodology draws out any connection or causality effect between air pollution and renewable production in consolidated time‐recurrence‐based causalities.…”

Section: Methodsmentioning

confidence: 99%

An evaluation of the causal effect between air pollution and renewable electricity production in Sweden: Accounting for the effects ofCOVID‐19

2021

Self Cite

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Summary The COVID‐19 pandemic has made a significant disruption in the renewable industry, and the effects will last longer. In this context, understanding how and which specific renewable power got affected due to this crisis is of crucial importance. This study examines the nexus between COVID‐19 and Sweden's renewable electricity production from three sources of energy such as nuclear, solar, and wind, where the data ranges from January 1, 2019, to February 17, 2021. Since this study compares the period before and during the pandemic event, the study uses Air Quality Index as a measure of COVID‐19 induced event and thus study the linkage between air quality and electricity production from three types of renewable energy. To analyse the above issue, several advanced techniques such as Wavelet Power Spectrum, Wavelet Coherence, Partial and Multiple Wavelet Coherence have been applied. The findings from the Wavelet Coherence approach demonstrate that COVID‐19 has disrupted the linkage between wind energy generation and air quality, while the disruption in the case of solar and nuclear electricity generation has been minimal. Moreover, solar energy generation and air pollution both negatively affect each other, implying the need to generate solar power as well as reduce the level of air pollution in Sweden. In light of the above findings, the study discusses possible policy actions the country can take to fulfil its renewable development goals.

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Prosocial motives of solar entrepreneurs combating energy poverty in South Africa

Akinboade¹,

Taft

Weber

et al. 2023

Bus Strat Dev

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This study seeks to examine the prosocial motives of solar energy entrepreneurs as they generate energy to combat energy poverty in South Africa. Using a qualitative research method, data, in words of survey participants, were collected from social purpose and profitable solar energy businesses using a semi‐structured interviews technique. These represent the reality of the interviewed Social Entrepreneurs because their societal world deals mainly with socially constructed issues. A pre‐developed “codebook” forms the basis to build categories of social issues and to consequently amalgamate codes into umbrella themes that enable researchers carry out structured and systematic contextual analysis. Motivated by innate feelings of compassion, empathy and extrinsic concerns for the environment, solar entrepreneurs embark on social venturing to collaborate with municipalities to deliver public services, to the group of vulnerable energy poor South Africans gain access to public benefits, like access to clean energy, which are frequently out of reach of township as well as slum dwellers operating mainly in the informal sector. This study contributes to our understanding of how solar energy entrepreneurs operate and adapt to the complexity of public energy service delivery venture in South Africa.

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A wavelet coherence analysis: nexus between urbanization and environmental sustainability

Cited by 54 publications

References 66 publications

Time–frequency analysis of the interaction mechanism between European carbon and crude oil markets

Time–frequency analysis of the interaction mechanism between European carbon and crude oil markets

An evaluation of the causal effect between air pollution and renewable electricity production in Sweden: Accounting for the effects ofCOVID‐19

Prosocial motives of solar entrepreneurs combating energy poverty in South Africa

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