Results 281 to 290 of about 435,188 (330)
Hotspots, trends, and regional focus on oil or gas exploration: A bibliometric comparative study
Deep Underground Science and Engineering, EarlyView.This paper explores the research trends in global oil and gas exploration through the bibliometric analysis of 3460 articles collected from the Web of Science database on oil and gas exploration published from 2013 to 2023. The research hotspots, objects, regional distribution, methods, and evaluation methods of oil and gas exploration are analyzed and
Jihong Wang +3 more
wiley +1 more source
Food-Away-from-Home Expenditure in Mexico during the COVID-19 Pandemic: A Micro-Econometric Analysis
, 2021 Aguilar-Lopez A, Kuhar A.
europepmc +1 more source
European Policy Analysis, EarlyView.ABSTRACT Over the past decade, the concept of “instrument constituency” has been proposed as a way in which to bridge studies on policy networks and policy instruments. This concept focuses on policy networks composed of diverse actors who are brought together by the shared goal of promoting a specific instrument.
Noémie Morize
wiley +1 more source
Relative investment specialisation inside EU: An econometric analysis for EU-Regions
, 2002 Claudia Stirboeck
openalex +1 more source
Energy Science &Engineering, EarlyView.The study analyzes barriers to electric vehicle growth in India using DEMATEL and ANP. It distinguishes cause‐and‐effect barriers and ranks them. Major barriers include poor charging infrastructure and high costs. ABSTRACT This study employs a hybrid technique based on the Decision‐Making Trial Evaluation Laboratory (DEMATEL), Analytic Network Process (
Sanjeev Kumar +6 more
wiley +1 more source
What Works to Control COVID-19? Econometric Analysis of a Cross-Country Panel
, 2021 Chen L +4 more
europepmc +1 more source
Threshold MIDAS Forecasting of Canadian Inflation Rate
Journal of Forecasting, EarlyView.ABSTRACT We propose several threshold mixed data sampling (TMIDAS) autoregressive models to forecast the Canadian inflation rate using predictors observed at different frequencies. These models take two low‐frequency variables and a high‐frequency index as threshold variables.
Chaoyi Chen, Yiguo Sun, Yao Rao
wiley +1 more source
Forecasting With Machine Learning Shadow‐Rate VARs
Journal of Forecasting, EarlyView.ABSTRACT Interest rates are fundamental in macroeconomic modeling. Recent studies integrate the effective lower bound (ELB) into vector autoregressions (VARs). This paper studies shadow‐rate VARs by using interest rates as a latent variable near the ELB to estimate their shadow‐rate values.
Michael Grammatikopoulos
wiley +1 more source
A Novel Approach to Regionalize Country‐Level GDP Projections
Journal of Forecasting, EarlyView.ABSTRACT Socioeconomic projections are policy support tools that are often limited to country‐level data, making them insufficient for policy areas that require a more nuanced, sub‐national perspective. For granular geographical analyses in a multicountry setting, international organizations often rely on straightforward regionalization techniques ...
Riccardo Curtale +2 more
wiley +1 more source
Forecasting Carbon Prices: A Literature Review
Journal of Forecasting, EarlyView.ABSTRACT Carbon emissions trading is utilized by a growing number of states as a significant tool for addressing greenhouse gas emissions (GHG), global warming problem and the climate crisis. Accurate forecasting of carbon prices is essential for effective policy design and investment strategies in climate change mitigation.
Konstantinos Bisiotis +2 more
wiley +1 more source