Results 31 to 40 of about 5,885 (195)

Can Carbon Strategy Enhance Corporate Productivity? Evidence From Carbon Risk and Opportunity Management

Business Strategy and the Environment, EarlyView.
ABSTRACT Whether corporate carbon management can enhance productive efficiency is central to firms' long‐term competitiveness and determines whether carbon reduction efforts can be sustained beyond regulatory compliance. This study examines how corporate carbon risk and opportunity management affects firm productivity (measured by total factor ...
Nan Huang, Hanlu Fan, Ruoxin Zhu
wiley   +1 more source

MODELLING OF POVERTY PERCENTAGE IN EAST JAVA PROVINCE WITH SEMIPARAMETRIC REGRESSION APPROACH

Barekeng, 2023
Poverty is an economic problem faced by all countries in the world, including Indonesia. Poverty is seen as the inability of a person from an economic standpoint to meet basic food and non-food needs as measured from the expenditure side.
Idrus Syahzaqi, Salman Alfarizi P. A., Kartika Fithriasari   +2 more
doaj   +1 more source

Sound Financial Practices and Entrepreneurs' Socio‐Environmental Commitment: Revealing the Role of Financial Barriers

Business Strategy and the Environment, EarlyView.
ABSTRACT Small enterprises (SEs) constitute a major component of economic systems, and their socio‐environmental commitment is critical for promoting societal well‐being. This paper examines the direct effect of sound financial practices on socio‐environmental commitment and evaluates the mediating role of financial constraints—specifically debt and ...
Marcos Álvarez‐Espiño, Sara Fernández‐López, Lucía Rey‐Ares   +2 more
wiley   +1 more source

Rewiring the Circular Economy Through AI‐Informed Pathways: Structural and Distributional Drivers of Environmental Outcomes in the European Union

Business Strategy and the Environment, EarlyView.
ABSTRACT This study investigates the structural and distributional factors that influence environmental performance in 27 European Union (EU) countries from 2010 to 2021, focusing especially on circular economy (CE) measures and the increasing use of artificial intelligence (AI)‐based analytical tools.
Cosimo Magazzino, Fabio Anobile, Luca Esposito, Tulia Gattone   +3 more
wiley   +1 more source

Model and Variable Selection Procedures for Semiparametric Time Series Regression

Journal of Probability and Statistics, 2009
Semiparametric regression models are very useful for time series analysis. They facilitate the detection of features resulting from external interventions.
Risa Kato, Takayuki Shiohama
doaj   +1 more source

Dynamic survival risk prediction with time‐varying high‐dimensional images

Canadian Journal of Statistics, EarlyView.
Abstract Integrating longitudinal data with survival models is a prevalent strategy for dynamic survival risk prediction while accounting for subjects' longitudinally observed variables. However, existing methods primarily focus on scalar longitudinal data and seldom tackle the complexities associated with high‐dimensional longitudinal imaging data ...
Bingfan Liu, Haolun Shi, Shu Jiang, Liangliang Wang, Da Ma, Mirza Faisal Beg, Jiguo Cao, for the Alzheimer's Disease Neuroimaging Initiative   +7 more
wiley   +1 more source

Penalty Strategies in Semiparametric Regression Models

Mathematical and Computational Applications
This study includes a comprehensive evaluation of six penalty estimation strategies for partially linear models (PLRMs), focusing on their performance in the presence of multicollinearity and their ability to handle both parametric and nonparametric ...
Ayuba Jack Alhassan, S. Ejaz Ahmed, Dursun Aydin, Ersin Yilmaz   +3 more
doaj   +1 more source

Copula‐based joint modelling of emergency department visits with time‐varying dependence

Canadian Journal of Statistics, EarlyView.
Abstract Jointly modelling multiple correlated count time series is essential in health services research, where outcomes like emergency visits for mental health and substance use often evolve together. Ignoring these dependencies can obscure meaningful trends and limit the effectiveness of policy evaluation.
Guanjie Lyu, Cindy Feng, Lihui Liu
wiley   +1 more source

Platelet Modeling in DHF Patients Using Local Polynomial Semiparametric Regression on Longitudinal Data

JTAM (Jurnal Teori dan Aplikasi Matematika)
Regression analysis is one of the statistical methods used to model the relationship between response variables and predictor variables. Semiparametric regression is a combination of parametric and nonparametric regression.
Tiani Wahyu Utami, Nur Chamidah, Toha Saifudin   +2 more
doaj   +1 more source

Bayesian semiparametric regression models to characterize molecular evolution

BMC Bioinformatics, 2012
Background Statistical models and methods that associate changes in the physicochemical properties of amino acids with natural selection at the molecular level typically do not take into account the correlations between such properties.
Datta Saheli, Rodriguez Abel, Prado Raquel   +2 more
doaj   +1 more source