Sökning: "household decision-making"
Visar resultat 1 - 5 av 83 uppsatser innehållade orden household decision-making.
1. Navigating the Happiness Economics Landscape: Mapping the Influences on Life Satisfaction and Possible Interventions
Master-uppsats, Göteborgs universitet/Graduate SchoolSammanfattning : This study explores factors that influence subjective well-being in low- and middle-income countries by analysing unique individual- and country-level data. The study focuses on several unexplored determinants including personality traits, economic shocks and cultural differences. LÄS MER
2. Effect of Financial Literacy on Household Wealth Accumulation among Swedish Households
Master-uppsats, Lunds universitet/Nationalekonomiska institutionenSammanfattning : The objective of this study is to examine the effect of financial literacy on household wealth accumulation among Swedish households. Prior research have suggested that financial literacy plays a significant role in financial decision making. LÄS MER
3. Anticipating Glacier Lake Outburst Floods (GLOFs): an impact-based forecasting framework for managing GLOF risks in Nepal.
Master-uppsats, Lunds universitet/Avdelningen för Riskhantering och SamhällssäkerhetSammanfattning : Glacier lake outburst floods (GLOFs) are an increasingly documented threat across the Himalayan region, wherein Nepal is situated. GLOFs involve a rapid discharge of water from a lake situated at the side, front, within, beneath, or on the surface of a glacier. LÄS MER
4. Understanding Access to Clean Cooking Fuels in Kenya
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : Adoption of clean cooking fuels is conditioned by factors known as barriers and enablers, which characterize the decision-making environment of a household. Access to clean cooking is a target part of the Sustainable Development Goals, yet it currently stands at 19.5% in Kenya. LÄS MER
5. Trainable Region of Interest Prediction: Hard Attention Framework for Hardware-Efficient Event-Based Computer Vision Neural Networks on Neuromorphic Processors
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : Neuromorphic processors are a promising new type of hardware for optimizing neural network computation using biologically-inspired principles. They can effectively leverage information sparsity such as in images from event-based cameras, and are well-adapted to processing event-based data in an energy-efficient fashion. LÄS MER