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
Performance of Smallholder Agriculture Under Limited Mechanization and the Fast Track Land Reform Program in Zimbabwe [PDF]
agricultural mechanization, fast track land reform, agricultural development, Stochastic Frontier model, technical efficiency, agribusiness management, Agricultural and Food Policy, Community/Rural/Urban Development, International Development, Land ...
Chisango, Future Fortune T. +1 more
core +1 more source
Metagenomic mining reveals novel Cas12 subtypes and their evolutionary diversification
We identified 4112 Cas12 Proteins and 6 new Cas12 subtypes, revealed their significant diversity in N‐terminal regions, repeat sequences, and sequences motifs. We developed an AI‐driven algorithm, Cas12fam, which allows precise annotation of 18 distinct domains in Cas12 proteins.
Meixia Yu +11 more
wiley +1 more source
Technical Efficiency, Farm Size and Tropical Deforestation in the Brazilian Amazonian Forest [PDF]
This paper analyses the impact of farm productivity as well as farm size on deforestation in Brazil. A two step econometric approach is adopted. A bootstrapped translog stochastic frontier that is a posteriori checked for functional consistency is used ...
Sébastien Marchand
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
A Comparison of Stochastic Frontier Approaches to Estimating Inefficiency and Total Factor Productivity: An Application to Irish Dairy Farming [PDF]
This paper compares standard stochastic frontier models for panel data with a number of recently developed models designed to remove unobserved heterogeneity from the inefficiency component.
Carol Newman +2 more
core
Fixed and Random Effects in Stochastic Frontier Models [PDF]
Received analyses based on stochastic frontier modeling with panel data have relied primarily on results from traditional linear fixed and random effects models. This paper examines extensions of these models that circumvent two important shortcomings of
Greene, William
core
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
A Cobb Douglas stochastic frontier model on measuring domestic bank efficiency in Malaysia. [PDF]
Hasan MZ, Kamil AA, Mustafa A, Baten MA.
europepmc +1 more source
ABSTRACT Modern engineering systems require advanced uncertainty‐aware model updating methods that address parameter correlations beyond conventional interval analysis. This paper proposes a novel framework integrating Riemannian manifold theory with Gaussian Process Regression (GPR) for systems governed by Symmetric Positive‐Definite (SPD) matrix ...
Yanhe Tao +3 more
wiley +1 more source

