Results 121 to 130 of about 3,428,862 (283)
Free Trade Zones and Corporate ESG: Evidence From a Quasi‐Natural Experiment in China
ABSTRACT This study examines how China's Pilot Free Trade Zones (FTZs) influence corporate ESG performance. Using a staggered difference‐in‐differences model on Chinese listed firms from 2009 to 2024, we combine coarsened exact matching (CEM) and geography‐based instrumental variables to ensure robust identification.
Wen Li, Yinghan Zhao, Brian Lucey
wiley +1 more source
Generalized poisson regression for over-dispersed longitudinal count data
Abstract Longitudinal count data is a common type of discrete data in fields like medicine and social sciences. The Poisson regression model is an important method for analysing count data, and the standard Poisson regression model requires that the mean and variance of discrete count data are equal.
Huaxian Liu, Jing Yu, Liyun Su
openaire +1 more source
When Nature Counts: Corporate Biodiversity Attention and Access to Bank Finance
ABSTRACT This paper investigates whether corporate attention to biodiversity influences firms' access to bank loans, an overlooked question in the emerging biodiversity–finance literature. Using a novel, text‐based measure constructed from 446 biodiversity‐related keywords and applied to Chinese A‐share listed firms from 2000 to 2023, we show that ...
Ruxiao Li +3 more
wiley +1 more source
The Use of Double Poisson Regression for Count Data in Health and Life Science—A Narrative Review
Count data are present in many areas of everyday life. Unfortunately, such data are often characterized by over- and under-dispersion. In 1986, Efron introduced the Double Poisson distribution to account for this problem.
Sebastian Appelbaum +3 more
doaj +1 more source
Estimating Regression Effects In Com Poisson Generalized Linear Model
Com Poisson distribution is capable of modeling the count responses irrespective of their mean variance relation and the parameters of this distribution when fitted to a simple cross sectional data can be efficiently estimated using maximum likelihood (ML) method.
Vandna Jowaheer, Naushad A. Mamode Khan
openaire +2 more sources
ABSTRACT The paper provides a revised knowledge–attitude–behaviour (KAB) framework to explain sustainable consumption. Drawing on the dual‐process perspective, the study investigates how intuitive and rational cues shape the translation of objective product knowledge into sustainable attitudes and consumption.
Alberto Massacci +3 more
wiley +1 more source
Property crime in Indonesia remains one of the most prevalent categories of crime across various regions of the country. This category encompasses a range of criminal acts, including theft, illegal appropriation of goods, robbery, motor vehicle theft ...
Prizka Rismawati Arum +2 more
doaj +1 more source
This paper considers geometric ergodicity and likelihood based inference for linear and nonlinear Poisson autoregressions. In the linear case the conditional mean is linked linearly to its past values as well as the observed values of the Poisson process.
Dag Tjøstheim +2 more
core
Analisis Metode Negative Binomial Regression Dan Generalized Poisson Regression Untuk Menangani Data Overdispersi Pada Regresi Poisson [PDF]
Jumlah Kematian Ibu merupakan salah satu indikator untuk melihat derajat kesehatan perempuan. Rendahnya kesadaran masyarakat tentang kesehatan ibu hamil menjadi faktor penentu angka kematian, meskipun masih banyak faktor yang harus diperhatikan untuk ...
Ardianingsih, AyuAshari
core
Navigating the Dichotomy of Uncertainty in Green Innovation and Digital Supply Chains
ABSTRACT Amid growing environmental pressures and rapid technological disruption, understanding how digitalization reshapes corporate sustainability strategies has become increasingly vital. Supply chain digitalization (SCD) plays a pivotal role in enhancing firms' adaptive capacity, operational transparency, and innovation efficiency.
Chengming Huang +2 more
wiley +1 more source

