Green growth dynamics: unraveling the complex role of financial development and natural resources in shaping renewable energy in Sub-Saharan Africa by Alhasan Osman, Mohd Afjal, Majed Alharthi, Mohamed Elheddad, Nassima Djellouli, Zhang He

“…Employing an array of analytical techniques, including panel-corrected standard errors (PCSE), fixed effects, random effects models, and panel-fixed quantile regression, we delve into the nuanced relationships among these critical variables. …”
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Municipal solid waste dynamics: Economic, environmental, and technological determinants in Europe by Afsana Akther, Farian Tahrim, Liton Chandra Voumik, Miguel Angel Esquivias, Dulal Chandra Pattak

“…To count for cross-sectional dependence in the data, the study employs Driscoll Kraay Standard Error and performs quantile regression as a robustness test to capture variations across different levels of municipal solid waste generation. …”
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Population-Based Placental Weight Ratio Distributions by Erin M. Macdonald, John J. Koval, Renato Natale, Timothy Regnault, M. Karen Campbell

“…All women who delivered a live singleton infant between 22 and 42 weeks of gestation were included (n=41441). Nonparametric quantile regression was used to fit the curves. The results demonstrate decreasing PWR and dispersion, with increasing gestational age. …”
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Advancing economic sustainability in E7 economies: the impact of green finance, environmental benefits, and natural resource management by Xulong Dai, Junyu Wu, Suqing Fan, Yanqi Zhou

“…Using rigorous methods such as method of moments quantile regression (MMQR) and Westerlund analysis, this study validates the relationships and heterogeneity among these variables through preliminary tests, including matrix correlation, cross-sectional dependence (CSD), slope heterogeneity (SH), and CIPS unit root tests. …”
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Natural resources heterogeneity and environmental sustainability in G20 nations: post-COP28 analysis by Abdulrahman Alomair, Ridwan Lanre Ibrahim, Ridwan Lanre Ibrahim, Abdulaziz S. Al Naim

“…The empirical verification anchors on second-generation estimators entailing cross-sectional autoregressive distributed lag (CS-ARDL), common correlated effects mean group autoregressive mean group (AMG), and method of moment quantile regression The fallouts from the analyses reveal that the production and consumption of natural resources based on coal and oil hinder environmental sustainability, although the former has greater effects than the latter. …”
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Navigating the energy transition: Interplay of geopolitics, economic complexity, and environmental governance in OECD countries by Linhui Wu, Saddam Hussain

“…In this analysis, the new Mixed Multi-Quantile Regression (MMQR) model is used to mitigate slope heterogeneity and cross-sectional dependence because it accommodates heterogeneity in distinct phases of the energy transition. …”
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Assessing the Complexity of Potential Bicycle Interference on Vehicles on Urban Road Segments by Shihan Wang, Ying Ni, Jianqiang Li

“…A naturalistic field experiment was conducted to collect the potential lateral and longitudinal interference frequency and the environmental parameters of road segments. The quantile regression model was applied to analyze the environmental factors influencing different interference frequencies separately and further establish the assessing model of the potential bicycle interference complexity, and the usability of the model has been demonstrated with a case study. …”
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Potential of environmental, social, and governance investment as a hedge in Indonesia during COVID-19 pandemic by Robiyanto Robiyanto, Frieska Dwi Agustina, Intiyas Utami, Budi Frensidy, Andrian Dolfriandra Huruta

“…Using Generalized Autoregressive Conditional Heteroskedasticity (GARCH) and Quantile Regression (QREG) techniques, the study found that ESG investments cannot act as hedge or safe haven in IDX. …”
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Impact of Financial Market uncertainty and Financial Crises on Dynamic Stock—Foreign Exchange Market Correlations: A New Perspective by Farid Irani, Abobaker Al.Al. Hadood, Korhan K. Gökmenoğlu, Seyed Alireza Athari

“…This study explores how uncertainties in domestic financial markets, including stocks, bonds, and exchange rates, as well as global crises like the subprime mortgage and European sovereign debt crises, affect the dynamic correlation between the Australian stock market index (ASX 300) and foreign exchange rates. Using quantile regression estimation and analyzing high-frequency data from 1999 to 2021, we uncover distinct relationships influenced by currency-specific uncertainties. …”
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How environmental patents, education, and energy transition impact greenhouse gases: evidence from E7 countries by Bing Zhang, Yujing Wang, Mingyang Liu, Usman Mehmood, Usman Mehmood

“…It investigates the long-term impact of environmental patents (ENP), financial development (FD), energy transition (ENT), and education (EDU) on GHG in the E−7 nations using second-generation econometric methods, including momentum quantile regression (MMQR), over the period 1990–2019. It also investigates the moderating effects of FD on ENT and EDU in influencing GHG emissions. …”
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Corneal Nerve Parameter Reference Values for Chinese Adults Assessed by Corneal Confocal Microscopy by Juan Cao, Jingru Qu, Bekzod Odilov, Bin Lu, Yuanpin Zhang, Lili Li, Yuan Zhang, Qian Xiong, Yu Hong, Jianqiao Li, Yunfeng Shen, Xinguo Hou

“…The correlation between clinical indicators and confocal corneal microscopy measures was determined using partial correlation. Quantile regression was used to calculate reference values and estimate the effects of clinical factors on the normative values of confocal corneal microscopy measures. …”
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Pre- and post-pandemic comparisons in cardiovascular markers: a population-based study by Mayssam Nehme, Maria Eugenia Zaballa, Serguei Rouzinov, Julien Lamour, Silvia Stringhini, Silvia Stringhini, Silvia Stringhini, Idris Guessous, Idris Guessous

“…Linear regression was used to estimate results including mean systolic and diastolic blood pressure, cholesterol, and glycemic profiles, after adjusting for age, sex, smoking, and socioeconomic status. Quantile regression models were used to estimate median values.ResultsA total of 4,558 participants were included. …”
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Särndal Approach and Separate Type Quantile Robust Regression Type Mean Estimators for Nonsensitive and Sensitive Variables in Stratified Random Sampling by Usman Shahzad, Ishfaq Ahmad, Nadia H. Al-Noor, Soofia Iftikhar, A. H. Abd Ellah, Troon J. Benedict

“…In the current study, regarding population mean, we proposed a robust class of separate type quantile regression estimators under stratified random sampling design. …”
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Examining the drivers of ecological footprint components: Is pursuing food security environmentally costly for Nigeria? by Hephzibah Onyeje Obekpa, Andrew Adewale Alola, Adejo Moses Adejo, Chukwuemeka Echebiri

“…Motivated by this observation, this study attempts to examine whether the pursuit of food security agenda amidst population increase, and economic growth exhibits a significant impact on the country’s aggregate ecological footprint and footprints of built-up land, carbon, cropland, fishing grounds, forest products, and grazing land especially over the period 1981–2020. While the quantile regression method provides robustness to the main Kernel-based regularized least square approach, the Kernel-based regularized least square approach found that food production activities and geometric increase in food production, i.e., the square of food production, both increase the aggregate ecological footprint and footprints of built-up land, cropland, forest products. …”
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Does Health System Responsiveness Differ between Insured and Uninsured Outpatients in Primary Health Care Facilities in Asagirt District, Ethiopia? A Cross-Sectional Study by Wubshet Debebe Negash, Asmamaw Atnafu, Desale Bihonegn Asmamaw, Chalie Tadie Tsehay

“…Responsiveness was measured using the short version of the World Health Organization’s multicountry responsiveness survey, which has seven dimensions including autonomy, communication, confidentiality, attention, dignity, choice, and amenities. Using quantile regression, a specific association between health insurance and the health system responsiveness index was examined, adjusting for sociodemographic, quality, and satisfaction-related factors. …”
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Burden of coronary artery calcification in ANCA-associated vasculitis by Claire Cook, Brittany Weber, Catherine Ahola, Zachary S. Wallace, Michael Hendrickson, Anushri Parakh, Sandeep Hedgire, Michael Lu

“…Coronary artery calcium (CAC) scores and age, sex and race-standardised CAC percentiles were calculated. Quantile regression was used to identify differences by ANCA type, and Gray’s test examined differences in major adverse cardiac events by CAC score.Results Of 175 included patients, 127 (73%) were MPO-ANCA+and 48 (27%) were PR3-ANCA+. …”
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Prepartum Vaccination Against Neonatal Calf Diarrhea and Its Effect on Mammary Health and Milk Yield of Dairy Cows: A Retrospective Study Addressing Non-Specific Effects of Vaccina... by Caroline Kuhn, Holm Zerbe, Hans-Joachim Schuberth, Anke Römer, Debby Kraatz-van Egmond, Claudia Wesenauer, Martina Resch, Alexander Stoll, Yury Zablotski

“…In this retrospective study, data from 73,378 dairy cows on 20 farms in Germany were analyzed, using linear mixed-effects regression, quantile regression, and decision-tree-algorithms, to investigate the effects of prepartum vaccination on mammary health and milk yield by comparing non-vaccinated and vaccinated transition periods. …”
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WHY DO VIETNAMESE FIRMS HOLD CASH? by Nguyễn Thanh Hồng Ân, Hoàng Mai Phương

“…In addition, the cash holding ratios of firms in all four size quantiles have shrunk since 2016, especially for firms in the smallest size quantile. Regression results show that Vietnamese firms tend to hoard cash when business conditions improve, when they have low growth opportunities, or when business risks increase. …”
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Quantile-Dependent Expressivity of Serum Uric Acid Concentrations by Paul T. Williams

“…Quantile-specific heritability from offspring-parent regression slopes (βOP,h2=2βOP/1+rspouse) and full-sib regression slopes (βFS,h2=1+8rspouseβFS0.5−1/2rspouse) was robustly estimated by quantile regression with nonparametric significance assigned from 1000 bootstrap samples. …”
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Displacement Prediction of a Complex Landslide in the Three Gorges Reservoir Area (China) Using a Hybrid Computational Intelligence Approach by Junwei Ma, Xiaoxu Niu, Huiming Tang, Yankun Wang, Tao Wen, Junrong Zhang

“…The hybrid computational intelligence approach consists of two steps: first, the input variables are selected through copula analysis; second, kernel-based support vector machine quantile regression (KSVMQR) is employed to perform density prediction. …”
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