Results 171 to 180 of about 271,408 (290)

Domains of Housing Instability and Intimate Partner Violence Risk Among U.S. Tenants. [PDF]

Int J Environ Res Public Health
Zapata A, Wood LG, Galvin AM, Chan W, Thomas TA, Tsai J, Way HK, Mueller EJ, Hernandez DC.   +8 more
europepmc   +1 more source

For the Few, Not the Many: Tracing the Residualist and Compensatory Nature of British Energy Support

Environmental Policy and Governance, EarlyView.
ABSTRACT Drawing on extensive documentary analysis, this article traces the evolution of British energy policy support since World War II. It analyses shifts in policy design through two interpretive lenses: eligibility (residualist vs. universalist) and function (compensatory vs. preventive).
T. M. Croon, M. G. Elsinga, J. S. C. M. Hoekstra, M. Sunikka‐Blank, R. Galvin   +4 more
wiley   +1 more source

Health-promoting housing policy in a changing climate: integrating affordability, security, and resilience. [PDF]

Health Promot Int
McKee M, Howden-Chapman P, Braithwaite I, Bentley R.   +3 more
europepmc   +1 more source

The Impact of Renewable and Non‐Renewable Energy on Economic Growth: Evidence From Sub‐Saharan African Countries Using Multivariate Panel Vector Autoregressive Modeling

Energy Science &Engineering, EarlyView.
This study analyzes energy consumption and economic growth across 39 Sub‐Saharan African countries using a PVAR model. Findings reveal that non‐renewable energy and labor force growth stimulate economic growth, while renewable energy does not stimulate economic growth in the short run.
Amadou Cham, Nana Kena Frempong, Richard Opoku, Francis Davis, Simon Kojo Appiah   +4 more
wiley   +1 more source

Integrated Flue‐Gas Heat Recovery for Optimized Steam and Power Generation Using Organic Rankine Cycle (ORC): A Technical and Economic Assessment

Energy Science &Engineering, EarlyView.
Integration of a steam cycle with an existing gas turbine increased efficiency from 32% to 51%, reducing fuel consumption by 21.4% and CO2 emissions by 18.6%. The modification generated USD 13.9 million annual savings and lowered the Levelized Cost of Energy to 38.7 USD/MWh, with a 3‐year payback.
Vahid Pirouzfar, Anashe Aghajani, Chia‐Hung Su   +2 more
wiley   +1 more source

Queer configurations: The female divine, regional identity, and Queer‐religious belonging in South India

Feminist Anthropology, EarlyView.
Abstract This article explores how queerness and religion intersect in a unique enactment of Bathukamma, a flower festival honoring the female divine in Hyderabad, the capital of the South Indian state of Telangana. Drawing on theories of figuration, I analyze how local queer organizations celebrate the festival in a way that engages two distinctive ...
Stefan Binder
wiley   +1 more source

Staff views on overdose prevention in permanent supportive housing. [PDF]

Harm Reduct J
Doran KM, Torsiglieri A, Moran J, Blaufarb S, Liu AY, Ringrose E, Urban C, Velez L, Hernandez P, O'Grady MA, Shelley D, Cleland CM.   +11 more
europepmc   +1 more source

Forecasting House Prices: The Role of Market Interconnectedness

Journal of Forecasting, EarlyView.
ABSTRACT While the existing research uncovers interconnections between various housing markets, it largely ignores the question of whether such linkages can improve house price predictions. To address this issue, we proceed in two steps. First, we forecast disaggregated house price growth rates from Australia and China to determine whether ...
Zac Chen, George Milunovich, Shuping Shi, Ben Wang   +3 more
wiley   +1 more source

A spatial typology of energy (in)efficiency in the private rental sector in England and Wales using Energy Performance Certificates. [PDF]

Environ Plan B Urban Anal City Sci
Robinson C, Atkins E, Cantellow T, Chen M, Hasova L, Singleton A.   +5 more
europepmc   +1 more source

Using DSGE and Machine Learning to Forecast Public Debt for France

Journal of Forecasting, EarlyView.
ABSTRACT Forecasting public debt is essential for effective policymaking and economic stability, yet traditional approaches face challenges due to data scarcity. While machine learning (ML) has demonstrated success in financial forecasting, its application to macroeconomic forecasting remains underexplored, hindered by short historical time series and ...
Emmanouil Sofianos, Thierry Betti, Theophilos Papadimitriou, Amélie Barbier‐Gauchard, Periklis Gogas   +4 more
wiley   +1 more source