ABSTRACT This study examines the environmental, social and governance (ESG) scoring methodologies used by Bloomberg and S&P Global through the lens of Data Envelopment Analysis (DEA). It addresses a notable gap in the literature by identifying the underlying factors that shape ESG scores and providing practical insights for companies seeking to ...
Philipe Balan +4 more
wiley +1 more source
Level and determinants of district primary healthcare system technical efficiency in Ghana: two-stage stochastic frontier analysis. [PDF]
Amboko B +5 more
europepmc +1 more source
Financial Efficiency and the Ownership of Czech Firms [PDF]
In this paper we analyze the evolution of firm financial efficiency in the Czech Republic. Using a large panel of more than 400,000 Czech firm/years we study whether firms fully utilize their resources, how firm financial efficiency evolves over time ...
Evzen Kocenda +2 more
core
Joint Estimation and Bandwidth Selection in Partially Parametric Models
ABSTRACT We propose a single‐step approach to estimating a model with both a known nonlinear parametric component and an unknown nonparametric component. We study the large sample behavior of a simultaneous optimization routine that estimates both the parameter vector of the parametric component and the bandwidth vector used to smooth the unknown ...
Daniel J. Henderson +2 more
wiley +1 more source
Efficiency of health systems in developing countries: the case of West African countries. [PDF]
Akoetey K, Viallefont A.
europepmc +1 more source
Hybrid Rice: Economic Assessment of a Promising Technology for Sustainable Food Grain Production in Bangladesh [PDF]
Hybrid rice, one of the viable and proven technologies has been considered as a new frontier to increase rice production for meeting growing demand for staple food in Bangladesh.
Azad, Md Abdus Samad +2 more
core +1 more source
Analysis of Technical Efficiency of Monsoon Rain–fed Sesame Production in Myanmar : A Stochastic Frontier Approach [PDF]
Aung Ko Latt +2 more
openalex +1 more source
Challenges and Opportunities in Machine Learning for Light‐Emitting Polymers
The performance of light‐emitting polymers emerges from coupled effects of chemical diversity, morphology, and exciton dynamics across multiple length scales. This Perspective reviews recent design strategies and experimental challenges, and discusses how machine learning can unify descriptors, data, and modeling approaches to efficiently navigate ...
Tian Tian, Yinyin Bao
wiley +1 more source
Enhancing autonomous agriculture control systems in greenhouses for sustainable resource usage using deep learning techniques. [PDF]
Hindi I +3 more
europepmc +1 more source

