Results 201 to 210 of about 280,531 (306)

Confidence, animal spirits, and the macroeconomy in China: Based on mixed-frequency data models. [PDF]

PLoS One
Lu W, Liu Q, Li H.
europepmc   +1 more source

The Impact of Renewable and Non‐Renewable Energy on Economic Growth: Evidence From Sub‐Saharan African Countries Using Multivariate Panel Vector Autoregressive Modeling

Energy Science &Engineering, EarlyView.
This study analyzes energy consumption and economic growth across 39 Sub‐Saharan African countries using a PVAR model. Findings reveal that non‐renewable energy and labor force growth stimulate economic growth, while renewable energy does not stimulate economic growth in the short run.
Amadou Cham, Nana Kena Frempong, Richard Opoku, Francis Davis, Simon Kojo Appiah   +4 more
wiley   +1 more source

Estimating the economic burden of lower respiratory infections in China from 2020 to 2040: a health-augmented macroeconomic modelling study. [PDF]

Lancet Reg Health West Pac
Lin Y, Sun H, Cao Z, Prettner K, Xu X, Zhou Y, Yin P, Bloom DE, Kuhn M, Bärnighausen TW, Cao B, Zhou M, Chen S.   +12 more
europepmc   +1 more source

Renewable Energy Use, Agricultural Productivity, and Economic Expansion Impact on Environmental Sustainability in India

Energy Science &Engineering, EarlyView.
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, Radulescu Magdalena, Duraisamy Pachiyappan, Nadia Sha, Marian Cristescu   +4 more
wiley   +1 more source

Artificial Intelligence-Driven Multimodal Sensor Fusion for Complex Market Systems via Federated Transformer-Based Learning. [PDF]

Sensors (Basel)
Shi L, Tian M, Yi Y, Hu X, Wang X, Yang Y, Li M.   +6 more
europepmc   +1 more source

Energy Consumption and CO2 Emissions Forecasting of Transport Sector Using Machine Learning

Energy Science &Engineering, EarlyView.
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, Seyyed Mohammad Hashemi, Meisam Farajollahi   +2 more
wiley   +1 more source

A dynamic micro-macro-economic model to assess water charging policies.

J Clean Prod
Sapino F, Parrado R, Pérez-Blanco CD.
europepmc   +1 more source

Daily Residential Natural Gas Demand Forecasting Using Machine Learning Regression: Comparative Evaluation With a Case Study in Qazvin Province, Iran

Energy Science &Engineering, EarlyView.
This graphical abstract summarizes the proposed framework for improving short‐term residential natural gas consumption forecasting by integrating a novel socioeconomic indicator, the subscription growth ratio (SGR), with conventional meteorological variables.
Ali Pirzad, Mostafa Khanzadi
wiley   +1 more source

Stock Forecasting Based on Informational Complexity Representation: A Framework of Wavelet Entropy, Multiscale Entropy, and Dual-Branch Network. [PDF]

Entropy (Basel)
Tian G, Xu C, Yang Y.
europepmc   +1 more source

A Comparison of Realized Measures of Integrated Volatility: Price Duration‐ vs. Return‐Based Approaches

Journal of Forecasting, EarlyView.
ABSTRACT We study the accuracy of a variety of parametric price duration‐based realized variance estimators constructed via various financial duration models and compare their forecasting performance with the performance of various nonparametric return‐based realized variance estimators.
Björn Schulte‐Tillmann, Mawuli Segnon, Timo Wiedemann   +2 more
wiley   +1 more source