Results 251 to 260 of about 696,747 (318)
Correction: Using Behavioral Economics to Inform Behavior Analyst Regulation Fees in Ontario. [PDF]
Malkin A +4 more
europepmc +1 more source
Cost‐Benefit Analysis of the European Union Carbon Border Adjustment Mechanism in Fertilizer Trade
ABSTRACT The carbon border adjustment mechanism (CBAM), launching 2026, will charge EU importers for embedded carbon emissions, aiming to reduce emissions but raising import costs. Shifts in demand following implementation may reduce carbon emissions, but importers will bear the cost of increased prices.
Natalie Crisci +3 more
wiley +1 more source
Using Behavioral Economics to Inform Behavior Analyst Regulation Fees in Ontario. [PDF]
Malkin A +4 more
europepmc +1 more source
ABSTRACT Food systems have a significant impact on environmental sustainability, underscoring the need for innovative technologies to support more sustainable agricultural methods. However, the adoption of these technologies hinges on consumer acceptance, making the analysis of consumer perceptions essential.
Greta Castellini, Guendalina Graffigna
wiley +1 more source
Behavioral Monetary Policymaking: Economics, Political Economy and Psychology
Donato Masciandaro, Davide Romelli
openalex +1 more source
The Geography of Success: A Spatial Analysis of Export Intensity in the Italian Wine Industry
ABSTRACT This paper investigates the paradox of how Italy's fragmented, SME‐dominated wine industry achieves global export success. Moving beyond purely firm‐centric explanations, we test whether export intensity is spatially dependent, clustering geographically in regional ecosystems.
Nicolas Depetris Chauvin, Jonas Di Vita
wiley +1 more source
Evaluation of Four Interventions Using Behavioral Economics Insights to Increase Demand for Voluntary Medical Male Circumcision in South Africa Through the MoyaApp: A Quasi-Experimental Study. [PDF]
Mistri P +10 more
europepmc +1 more source
Nudging Behavioral Economics into Nephrology Care Delivery Research.
Wilk AS, Tuot DS.
europepmc +1 more source
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source

