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A hybrid model for carbon price forecasting based on SSA-NSTransformer: Considering the role of multi-stage carbon reduction targets.
J Environ Manage
January 2025
School of Economics and Management, North China Electric Power University, Beijing, China. Electronic address:
In order to reduce the unpredictability of carbon prices caused by their increasingly prominent environmental and market attributes, and to minimize their negative impact on carbon trading, further research on forecasting models for carbon price is urgently needed. To improve the accuracy of prediction, this paper proposes a carbon price forecasting method based on SSA-NSTransformer. The method includes four main steps: Firstly, decomposition of carbon price signals, using Singular Spectrum Analysis to remove noise signals; Secondly, analysis of influencing factors, using Random Forest to identify and select key influencing factors of carbon price signal components from energy price, financial market, socio-economic, and environmental aspects; Furthermore, influencing factors prediction, considering the impact of different carbon reduction targets and predicting future trends of influencing factors; And finally, carbon price prediction, considering the impact of factors based on multi-stage carbon reduction targets, using Non-stationary Transformer to predict the signal components of carbon prices, reconstructing the carbon price time series, and testing the model accuracy.
View Article and Find Full Text PDFDeterminants of future anxiety across individual, household, and regional levels in South Korea using a social ecological model.
Sci Rep
January 2025
Department of Health Administration, Yonsei University Graduate School, Wonju, Republic of Korea.
This study is the first to examine the determinants of future anxiety in South Korea using the Social Ecological Model (SEM). It aimed to show that, beyond individual factors, mezzo- and macro-level aspects, particularly those related to housing, may influence anxiety. Utilizing 2018 data from the Korean Health Panel Survey, we employed a three-level multilevel analysis to investigate how these factors contribute to the perception of future anxiety among Koreans.
View Article and Find Full Text PDFSweet or sour? A review of the Aspartame market landscape, carcinogenicity, and its socioeconomic impact.
J Food Sci Technol
January 2025
Amity Institute of Biotechnology, Amity University Rajasthan, SP-1, Kant Kalwar, RIICO Industrial Area, NH-11C, Jaipur, Rajasthan 303002 India.
Artificial sweeteners with almost zero calories are in high demand in the food and beverage industries due to an increase in diabetes and obesity cases throughout the globe. They vary in their chemical structures and sweetness intensity. The health concerns linked to the consumption of these additives have always been a matter of heated debate.
View Article and Find Full Text PDFCan strengthening digital infrastructure enhance productivity in the cultural industry? evidence from Tibet.
PLoS One
January 2025
School of Economics and Management, Tibet University, Lhasa, Tibet Autonomous Region, China.
This study, grounded in the Total Factor Productivity (TFP) theoretical framework, examines the impact of digital infrastructure on the productivity of Tibet's cultural industry from 2011 to 2021. It aims to uncover how the innovative allocation of production factors can enhance new-quality productivity. The core aspect of new-quality productivity is the improvement of TFP, with digital infrastructure promoting the cultural industry's development by optimizing industrial agglomeration, improving logistics efficiency, and reducing the urban-rural consumption gap.
View Article and Find Full Text PDFAbuse and its associated factors among elderly population of Kamalamai Municipality of Sindhuli District, Nepal.
PLoS One
January 2025
Central Department of Public Health, Institute of Medicine, Tribhuvan University, Kathmandu, Nepal.
Background: The global rise in the elderly population brings attention to the pressing issue of elder abuse, categorized into physical, psychological, neglect, financial and sexual abuse. According to the World Health Organization (2022), one in six individuals aged 60 and older has experienced some form of abuse in community setting necessitating increase in awareness and support for older people. This study aimed to assess abuse and its associated factors among elderly population of Kamalamai Municipality of Sindhuli District, Nepal.
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