(1) A theoretical framework for examining the impact of the CETS on carbon emissions in the LS of the YREB is developed based on Porter's hypothesis and synergy theory. (2) Assessing the Effects of a CETS through DID Modeling. (3) The spatial correlation of carbon emissions within the LS is examined through the development of a SDM.
Zhaoyang Zhao, Chong Ye, Jing Huang
wiley +1 more source
Steering FinTech: Techno-industrial policy for the data-driven economy in China's Greater Bay Area. [PDF]
Anguelov D.
europepmc +1 more source
ABSTRACT This research aims to explore the effects of agricultural productivity and the use of renewable energy sources on India's CO2 emissions while taking economic expansion into concern based on data during 1985–2022. This study applies the autoregressive distributed lag (ARDL) technique, dynamic‐ordinary least square (DOLS), fully‐modified ...
Palanisamy Manigandan +4 more
wiley +1 more source
Baltic dry index forecast using financial market data: Machine learning methods and SHAP explanations. [PDF]
Kim HS, Kim DH, Choi SY.
europepmc +1 more source
Energy Consumption and CO2 Emissions Forecasting of Transport Sector Using Machine Learning
The transport sector accounts for approximately one‐quarter of Iran's final energy consumption. The energy demand in this sector has the least variation, with petroleum products accounting for more than 85% of the demand. Furthermore, the accelerated growth of energy consumption and the sector's reliance on fossil fuels, which are the main cause of ...
Amir Hossein Akbari +2 more
wiley +1 more source
Momentum, volume and investor sentiment study for u.s. technology sector stocks-A hidden markov model based principal component analysis. [PDF]
Li S.
europepmc +1 more source
Development of the Human–Equine Attachment Scale
Abstract Background Human–horse relationships encompass diverse roles, from companion to competition partner. The impact of such bonds informs owner decision‐making regarding horse management and veterinary care, yet standardised instruments to measure these unique bonds are limited.
Richard H. Corrigan +5 more
wiley +1 more source
Predicting food prices in Kenya using machine learning: a hybrid model approach with XGBoost and gradient boosting. [PDF]
Ogol BO +4 more
europepmc +1 more source
Making care audible: Musical gifts and affective reciprocity in the clinic
Abstract In clinical settings, music therapy is frequently received as a gift—a voluntary offering that invites but does not demand participation. Drawing on ethnographic research with music therapists and patients in Canadian and American hospitals, this article examines how clinical care is co‐constituted through practices of giving, receiving, and ...
Meredith Evans
wiley +1 more source
A Hybrid Model for Copper Futures Price Forecasting Utilizing Complexity-Aware Variational Mode Decomposition and Reconstruction and Multi-Behavior-Triggered Interaction Modeling. [PDF]
Li Y, Liu D.
europepmc +1 more source

