Artificial Intelligence-Driven Multimodal Sensor Fusion for Complex Market Systems via Federated Transformer-Based Learning. [PDF]
Shi L +6 more
europepmc +1 more source
ABSTRACT The growing complexity and severity of cross‐border climate risks characterised by non‐linear impact chains and deep uncertainty questions the capacity of environmental governance to tackle these problems effectively and in a just manner. To increase the efficiency of climate action, the private sector has been called upon to leverage market ...
Päivi Tikkakoski, Sirkku Juhola
wiley +1 more source
The global macroeconomic burden of diabetes mellitus. [PDF]
Chen S +9 more
europepmc +1 more source
The Dynamics of the Policy Mix and Sectoral Gaps in South Korea's Decarbonization Transition
ABSTRACT While a coherent policy mix is a fundamental prerequisite for successful energy transitions, existing frameworks predominantly rely on static evaluations. This horizontal approach fails to capture the deep temporal dynamics and physical inertia inherent in socio‐technical regime shifts.
Yong Hwan Kim, Kyung Nam Kim
wiley +1 more source
ESG disclosure quality and firm valuation under economic policy uncertainty: Evidence from Chinese A-share listed firms. [PDF]
Tang CH, Luo F.
europepmc +1 more source
The EU's Strategy for Sustainability: A Landmark Turn With the European Green Deal?
ABSTRACT While the European Green Deal (EGD) has been widely recognized as a milestone in the EU's sustainability strategy, scholars disagree on the nature of the policy change it represents. Critics highlight its limited social and environmental ambitions, despite its portrayal as a “man on the moon” moment.
Ekaterina Domorenok, Franco Gatti
wiley +1 more source
The economic ramifications of liver cancer on a global, regional, and national scale. [PDF]
Yu J, Chen Q, Ma J.
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
Assessing the Macroeconomic Determinants of International Tourist Arrival in India: An ARDL Bounds Testing Approach. [PDF]
Singh AK +7 more
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

