Recent analytical tools to mitigate carbon-based pollution: New insights by using wavelet coherence for a sustainable environment

Chen, Chun; Zhang, Zhiqiang; Wei, Lianfang; Qiu, Yanmei; Xu, Weiqi; Song, Shaojie; Sun, Jiaxing; Li, Zhijie; Chen, Yunle; Xu, Wanyun; Pan, Xiaole; Fu, Pingqing; Shrivastava, Manish

doi:10.1016/j.envres.2022.113074

Cited by 19 publications

(13 citation statements)

References 84 publications

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“…The GDP is significant at 10% under LLC at a level. The results of the PURTs confirmed the data series' stationarity and approved to proceed for the JFPCT (Sarfraz et al, 2022).…”

Section: Wavelet Coherency Analysissupporting

confidence: 62%

“…Four distinct phases of the association between dependent and independent variables are defined first by consideration of the selected variables before elaborating the detailed results of the WCA. The individual phase of WCA is designed with a districted coherency pattern and different underlying variables' relationship mechanisms (Maraun & Kurths, 2004;Sarfraz et al, 2022;Tian et al, 2016).…”

Section: Wavelet Coherency Analysismentioning

confidence: 99%

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Going green for good: How sustainable economic development and green energy resources are driving carbon neutrality in G‐7 countries?

Mohsin,

Xuhua,

Sarfraz

et al. 2023

Sustainable Development

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The construction of a sustainable society in the present era is significantly based on green economic development, environmental sustainability, and ecological energy resources. It is now more difficult than ever for economists, environmentalists, and policymakers to achieve sustainable environmental development and economic growth while preventing environmental damage enhance the burden on the economy. It is worth mentioning that this research approach is leading CO2 emission resources in G‐7 countries as dependent variables and possibly CO2‐reducing determinants as independent variables from 1993 to 2020. The research data are extracted from the world development indicators, and these are secondary nature data. The stationarity of the data series is checked by employing a panel unit root and proceeds to the cointegration test. The cointegration, fully modified ordinary least squares (FMOLS), quantile regression, and wavelet coherence tests have confirmed the long‐run relationship among variables. Renewable energy and economic growth are aidant factors in reducing CO2 emissions from all resources. Low carbon energy is reduced CO2 from coal and gas while increasing the CO2 emission from oil. Renewable energy, low carbon energy, and rapid growth of gross domestic product (GDP) are environmentally friendly factors which can eliminate gas energy emissions. This research presents practical policy implications that address globalization trends, carbon emissions, and the overall energy structure and economic growth of G‐7 countries.

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“…The GDP is significant at 10% under LLC at a level. The results of the PURTs confirmed the data series' stationarity and approved to proceed for the JFPCT (Sarfraz et al, 2022).…”

Section: Wavelet Coherency Analysissupporting

confidence: 62%

Section: Wavelet Coherency Analysismentioning

confidence: 99%

Going green for good: How sustainable economic development and green energy resources are driving carbon neutrality in G‐7 countries?

Mohsin,

Xuhua,

Sarfraz

et al. 2023

Sustainable Development

Self Cite

View full text Add to dashboard Cite

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“…The analysis of microplastic polymer is the main basis for determining its origin. For example, when PP, PE, or PS are the main polymers, most of the detected microplastics are generated from the fragmentation of larger plastic products (Eerkes-Medrano et al, 2015;Sarfraz et al, 2022b;Mohsin et al, 2022).…”

Section: The Chemical Composition Of Plastics and Fingerprint Informa...mentioning

confidence: 99%

Current status and trends of research on microplastic fugacity characteristics and pollution levels in mangrove wetlands

Chen

2022

Front. Environ. Sci.

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Microplastics have been widely detected in the environment, while mangrove wetlands are considered barriers to land-based plastic transport to the ocean, requiring special attention. However, the current literature is distributed and broad besides limited information on the fate characteristics and pollution levels. This study uses a systematic literature review method to analyze the current research status and future trends. In this study, the literature is summarized and concluded that Characteristics including color, shape, size, polymer chemistry and surface microstructure are the basic information for microplastic research in mangrove wetlands. Size is the key to studying distribution and convergence without international standards. The shape is vital to study its sources and environmental processes. Color affects biological predation and is important information for studying ecological risk. The chemical composition of plastics is the key to studying microplastics’ fingerprint information, source, and sink. The surface microstructure is an important basis for studying adsorption behavior and aging processes. Mangrove microplastic studies in China are mainly on the southern and southeastern coasts, and microplastic pollution is more severe in Fujian, Guangdong, and Guangxi than in Hainan. In contrast, studies on mangrove microplastics abroad are mainly concentrated in Southeast Asia, the Middle East, and South America. Overall, microplastic contamination was detected in the major distribution areas of mangroves worldwide and was correlated with mangrove density and human activities.

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“…The ARDL affords flexibility in the order of integration of the variables in a way by incorporating a suitable independent variable in the models with I (0) and I (1) [ 36 , 67 , 68 ]. The equation for the estimation of our parameters from the ARDL [ 69 , 70 ] can be expressed in the following form …”

Section: Methodsmentioning

confidence: 99%

An autoregressive distributed lag approach for estimating the nexus between CO2 emissions and economic determinants in Pakistan

et al. 2023

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Carbon dioxide (CO2) emissions have become a critical aspect of the economic and sustainable development indicators of every country. In Pakistan, where there is a substantial increase in the population, industrialization, and demand for electricity production from different resources, the fear of an increase in CO2 emissions cannot be ignored. This study explores the link that betwixt CO2 emissions with different significant economic indicators in Pakistan from 1960 to 2018 using the autoregressive distributed lag (ARDL) modelling technique. We implemented the covariance proportion, coefficient of determination, the Durbin Watson D statistics, analysis of variance (ANOVA), variance inflating factor (VIF), the Breusch-Pagan test, the Theil’s inequality, the root mean quare error (RMSE), the mean absolute percentage error (MAPE), and the mean absolute error (MAE) for the diagnostics, efficiency, and validity of our model. Our results showed a significant association between increased CO2 emissions and increased electricity production from oil, gas, and other sources. An increase in electricity production from coal resources was seen to have resulted in a decrease in CO2 emissions. We observed that an increase in the gross domestic product (GDP) and population growth significantly contributed to the increased CO2 emissions. The increment in CO2 emissions resulting from industrial growth was not significant. The increment in CO2 emissions in the contemporary year is significantly associated with the preceding year’s increase. The rate of increase was very alarming, a sign that no serious efforts have been channelled in this regard to reduce this phenomenon. We call for policy dialogue to devise energy-saving and CO2 emission reduction strategies to minimize the impact of climate change on industrialization, population growth, and GDP growth without deterring economic and human growth. Electricity production from different sources with no or minimal CO2 emissions should be adopted. We also recommend rigorous tree planting nationwide to help reduce the concentration of CO2 in the atmosphere as well as environmental pollution.

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Recent analytical tools to mitigate carbon-based pollution: New insights by using wavelet coherence for a sustainable environment

Cited by 19 publications

References 84 publications

Going green for good: How sustainable economic development and green energy resources are driving carbon neutrality in G‐7 countries?

Going green for good: How sustainable economic development and green energy resources are driving carbon neutrality in G‐7 countries?

Current status and trends of research on microplastic fugacity characteristics and pollution levels in mangrove wetlands

An autoregressive distributed lag approach for estimating the nexus between CO2 emissions and economic determinants in Pakistan

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