Results 141 to 150 of about 20,098 (268)

Family Involvement and Financial Performance: How Do They Affect the Sustainability Commitment of Family Businesses?

Business Strategy and the Environment, EarlyView.
ABSTRACT The socio‐emotional wealth (SEW) perspective suggests that the specific priorities of a family business may make it more or less inclined to engage in sustainable practices. This paper examines how family business heterogeneity regarding family ownership, financial performance, and family board members affects the sustainability commitment of ...
Sonia Sánchez‐Andújar, Purificación Parrado‐Martínez, María Comino‐Jurado   +2 more
wiley   +1 more source

Generalized Econometric Models with Selectivity [PDF]

Econometrica, 1983
openaire   +1 more source

Environmental Disclosure Under Mandatory Regulation in EU Listed Companies: An Institutional Analysis

Business Strategy and the Environment, EarlyView.
ABSTRACT This study examines corporate environmental reporting practices among listed companies in the European Union during the period 2018–2022, within the context of the Non‐Financial Reporting Directive (NFRD). To this end, an Environmental Disclosure Index (EDI) is constructed based on qualitative reporting items, and panel‐data models are ...
Rosalva Pinto‐Braga, Pedro Lorca Fernández, Javier de Andrés Suárez   +2 more
wiley   +1 more source

A Spatial Probit Econometric Model of Land Change: The Case of Infrastructure Development in Western Amazonia, Peru. [PDF]

PLoS One, 2016
Arima EY.
europepmc   +1 more source

How Do Carbon Emissions Affect the Performance of Listed Latin American Firms? The Moderating Effect of Financial Slack

Business Strategy and the Environment, EarlyView.
ABSTRACT This study analyses the association between carbon emissions and financial performance in Latin American firms. The scientific literature on this topic is limited, with little evidence available in this geographical region. This study aims to address this research gap by testing hypotheses focused on analysing how Scope 1, 2 and 3 carbon ...
Ana Isabel Mendieta‐Callirgos, Maria Carmen Pérez‐López, Ismael Muñoz‐Pérez, Germán López‐Pérez   +3 more
wiley   +1 more source

The Impact of Self‐Checkout Technology on Shopping Behavior in B2B Retail: Evidence From Point‐Of‐Sale Transaction Data

Journal of Consumer Behaviour, EarlyView.
ABSTRACT This study examines the impact of self‐checkout technology implementation on B2B customer shopping behavior using a novel methodological approach that combines propensity score matching with difference‐in‐differences analysis on actual point‐of‐sale transaction data.
Jindřich Špička, Michaela Dvořáková   +1 more
wiley   +1 more source

An observation‐driven state‐space model for claims size modelling

Canadian Journal of Statistics, EarlyView.
Abstract State‐space models are popular in econometrics. Recently, these models have gained some popularity in the actuarial literature. The best known state‐space models are of the Kalman‐filter type. These are called parameter‐driven because the observations do not impact the state‐space dynamics.
Jae Youn Ahn, Himchan Jeong, Mario V. Wüthrich   +2 more
wiley   +1 more source

Smoking-attributable hospitalisation costs in Europe: an econometric analysis of the European Health Interview Survey, 2019. [PDF]

BMJ Public Health
Stazi G, López-Nicolás Á, Torrado Ortega C.   +2 more
europepmc   +1 more source

On subset least squares estimation and prediction in vector autoregressive models with exogenous variables

Canadian Journal of Statistics, EarlyView.
Abstract We establish the consistency and the asymptotic distribution of the least squares estimators of the coefficients of a subset vector autoregressive process with exogenous variables (VARX). Using a martingale central limit theorem, we derive the asymptotic normal distribution of the estimators. Diagnostic checking is discussed using kernel‐based
Pierre Duchesne, Thanh‐Liem Huynh, Mylène Oscar   +2 more
wiley   +1 more source

Demand forecasting of smart tourism integrating spatial metrology and deep learning. [PDF]

Sci Rep
Ma J.
europepmc   +1 more source