Results 81 to 90 of about 1,516 (292)
Constructing Policy (In)coherence in Germany's Energy Transition and Impacts on (In)equality
Environmental Policy and Governance, EarlyView.ABSTRACT Policy coherence is widely regarded as essential for achieving sustainable development, climate targets, and reducing inequality, as reflected in the 2030 Agenda for Sustainable Development. Recent scholarship has moved beyond technocratic approaches, drawing on comparative politics, particularly the “3 I's” of ideas, interests, and ...
Alexia Faus Onbargi, Ines Dombrowsky
wiley +1 more source
The Asian's Geopolitics and, in it own context, the Geopolitics from China Popular Republic
, 2021 This study analize about the following points: the Critical Geopolitcs and how that has been seeing in post modernity world. It stands out that, Asian Geopolitics with emphases to their contemporary estrategic partners, as well to the China Popular Republic also having focus in own estratregic partnerships and the China's ransom, in 19th Century, and ...
openaire +2 more sources
The Popular Geopolitics Feedback Loop: Thinking beyond the ‘Russia versus the West’ Paradigm
, 2017 In this article we use the concept of popular geopolitics feedback loops to define systems of exchange and iteration among (popular) geopolitical entities and subjectivities, which produce meaning and affects and influence our perception of the world as ...
Vlad Strukov +3 more
core +1 more source
Steering Industrial Decarbonisation: Explaining OECD Policy Variation
Environmental Policy and Governance, EarlyView.ABSTRACT The ongoing rise in CO2 emissions driven by energy‐intensive industries highlights the urgent need for targeted policy interventions, with national strategies playing a crucial role in the low‐carbon transition. However, the factors that shape the ambition of industrial decarbonisation policies remain poorly understood.
Ebba Minas
wiley +1 more source
Term Spread Volatility as a Leading Indicator of Economic Activity
Journal of Forecasting, EarlyView.ABSTRACT In this paper, we examine the macroeconomic predictive power of the volatility of the US Treasury yield curve slope (term spread volatility). Our forecasting exercise shows that US term spread volatility has significant predictive power for US industrial production and employment growth.
Anastasios Megaritis +3 more
wiley +1 more source
Mediating Islamic State| Introduction
International Journal of Communication, 2020 How does the group that calls itself “Islamic State” communicate? How has Islamic State been understood and contested? This Special Section gathers emergent scholarly voices, many deploying humanistic inquiry, to probe a phenomenon that has ...
Marwan M. Kraidy, Marina R. Krikorian
doaj
Journal of Forecasting, EarlyView.ABSTRACT Sustainability has become an important factor shaping financial markets and investor behavior. This paper examines the relationship between sustainability indices and Central European stock markets using a time–frequency approach. Wavelet coherence is employed to capture time‐varying co‐movements between sustainability indices and stock market
Zuzana Janková +4 more
wiley +1 more source
Unwitting Agents: Representations of Chinese International Students in US-China Geopolitics. [PDF]
East Asia (Piscataway), 2023 Xie W.
europepmc +1 more source
The Impact of Uncertainty on Forecasting the US Economy
Journal of Forecasting, EarlyView.ABSTRACT This paper examines the predictive value of uncertainty measures for key macroeconomic indicators across multiple forecast horizons. We evaluate how different uncertainty proxies—economic policy uncertainty (EPU), VIX, geopolitical risk, and measures of macroeconomic and financial uncertainty—enhance forecast accuracy for industrial production,
Angelica Ghiselli
wiley +1 more source
Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models
Journal of Forecasting, EarlyView.ABSTRACT Predicting carbon allowance prices has grown more crucial in relation to carbon market regulation, financial strategy, and environmental policy development. This study examines a hybrid forecasting system that combines deep learning with ensemble machine learning models to forecast the price fluctuations of EU Emissions Allowance (EUAs) within
Saptarshi Ganguly +2 more
wiley +1 more source