scholarly journals What Characteristics Do the Firms Have That Go Beyond Compliance with Regulation in Environmental Protection? A Multiple Discriminant Analysis

2021 ◽  
Vol 13 (4) ◽  
pp. 1873
Author(s):  
Diego A. Vazquez-Brust ◽  
José Antonio Plaza-Úbeda
Keyword(s):  
Discriminant Analysis ◽  
Environmental Protection ◽  
Environmental Performance ◽  
Model Building ◽  
Ecological Modernization ◽  
Environmental Discourse ◽  
Multiple Discriminant Analysis ◽  
Green Growth ◽  
Context Model ◽  
A Value

This paper is focused on analyzing the characteristics of firms that have environmental performance beyond the requirements of regulation in environmental protection. To identify such characteristics, we propose a value and context model building on environmental paradigms as conceptualized by Dryzek’s environmental discourse theory. Using multiple discriminant analysis (MDA) to analyze data collected from a multi-respondent survey of Argentinean polluting firms, we identify distinctive characteristics of firms going beyond regulation and firms that do not comply with regulation. In particular, comparing with other five environmental discourses, endorsement of green growth is evaluated in its connection with compliance patterns. We find that supporting green growth discourse (also known as ecological modernization) is one of the characteristics of those firms that go beyond compliance in their environmental performance.

scholarly journals Discriminant Analysis: Classifying and Predicting Sexual Offenders

2019 ◽  
Vol 8 (4) ◽  
pp. 11939-11944
Keyword(s):  
Discriminant Analysis ◽  
Sexual Offenders ◽  
Model Building ◽  
Sexual Offender ◽  
Portal System ◽  
Security Measures ◽  
Multiple Discriminant Analysis ◽  
Physical And Mental Health ◽  
Sexual Offences ◽  
Independent Variables

Crimes or offences against women have their major contribution to spoil the physical and mental health of women. There are varieties of techniques and methods exists, through which crime against women can be analysed and predict for preventing and controlling it. In this paper a model has been proposed to classify and predict sexual offenders for two categories of victim namely major and minor using multiple discriminant analysis. IBM SPSS 21, statistical software has been used to build model with 85.3% of accuracy rate to classify and predict the cases. Dataset of sexual offenders has been extracted from the Chicago police portal system. After the compilation of the dataset four attributes have been used in the current analysis namely age, height, weight and victim_type. Three variables are taken as independent variables and one variable namely victim_type used as a target variable as it has two categories i.e. minor and major. All the three independent variables have their contribution in the model building but with different contribution rates. By using the standardized beta and wilk’s lambda, ranking of contribution of independent variables has been generated. Age of the sexual offenders has contributed the most to predict sexual offender. The second ranked variable found as weight, its contribution towards prediction is higher than “Height” but lower than “Age”. The variable “Height” got third rank as low predictor to predict sexual offenders for victim types. The proposed model is very effective and would be used to implement or taken the different security measures in the various public or private places to prevent and control the various kind of sexual offences.

Comparison of Examinees’ and Doctors’ Judgement of Health Status Using Data in an AMHTS

1984 ◽  
Vol 23 (01) ◽  
pp. 15-22
Author(s):  
Y. Sekita ◽  
T. Ohta ◽  
M. Inoue ◽  
H. Takeda
Keyword(s):  
Health Status ◽  
Discriminant Analysis ◽  
Explanatory Power ◽  
Laboratory Data ◽  
Subjective Symptom ◽  
Health Conditions ◽  
Testing System ◽  
Multiple Discriminant Analysis ◽  
Canonical Axis ◽  
Using Data

SummaryJudgements of examinees’ health status by doctors and by the examinees themselves are compared applying multiple discriminant analysis. The doctors’ judgements of the examinees’ health status are studied comparatively using laboratory data and the examinees’ subjective symptom data.This data was obtained in an Automated Multiphasic Health Testing System. We discuss the health conditions which are significant for the judgement of doctors about the examinees. The results show that the explanatory power, when using subjective symptom data, is fair in the case of the doctors’ judgement. We found common variables, such as nervousness, lack of perseverance etc., which form the first canonical axis.

The validity of diagnostic systems for common mental disorders: a comparison between the ID-CATEGO and the DSM-III systems

1990 ◽  
Vol 20 (1) ◽  
pp. 209-218 ◽  
Author(s):  
David Grayson ◽  
Keith Bridges ◽  
Diane Cook ◽  
David Goldberg
Keyword(s):  
Discriminant Analysis ◽  
Depressive Disorders ◽  
Common Mental Disorders ◽  
Latent Trait ◽  
Mental Illnesses ◽  
Anxiety And Depression ◽  
Multiple Discriminant Analysis ◽  
Diagnostic Systems ◽  
Scale Scores ◽  
Initial Scale

SYNOPSISIt is argued that latent trait analysis provides a way of examining the construct validity of diagnostic concepts which are used to categorize common mental illnesses. The present study adds two additional aspects of validity using multiple discriminant analysis applied to two widely used taxonomic systems. Scales of anxiety and depression derived from previous latent trait analyses are applied to individuals reaching criteria for ‘caseness’ on the ID-CATEGO system and the DSM-III system, both at initial diagnosis and six months later. The first multiple discriminant analysis is carried out on the initial scale scores, and the results are interpreted in terms of concurrent validity. The second analysis uses improvement scores on the two scales and relates to predictive validity. It is argued that the ID-CATEGO system provides a better classification for common mental illnesses than the DSM-III system, since it allows a better discrimination to be made between anxiety and depressive disorders.

scholarly journals Corporate Environmental Performance in China: The Moderating Effects of the Media versus the Approach of Local Governments

2020 ◽  
Vol 18 (1) ◽  
pp. 150
Author(s):  
Zhiru Guo ◽  
Chao Lu
Keyword(s):  
Environmental Protection ◽  
Environmental Performance ◽  
Local Governments ◽  
Random Effect ◽  
Random Effect Model ◽  
Corporate Environmental Performance ◽  
Media Attention ◽  
The Media ◽  
The Government ◽  
The Impact

This article selects the listed companies in China’s A-share heavy pollution industry from 2014 to 2018 as samples, uses a random effect model to empirically test the relationship between media attention and corporate environmental performance and examines the impacts of local government environmental protection and property nature on that relationship. Results are as follow: (1) Media attention can significantly affect a company’s environmental performance. The higher the media attention, the greater the company’s supervision and the better its environmental performance. (2) In areas where the government pays less attention to environmental protection, the impact of media on corporate environmental performance is more obvious, but in other areas, the impact of media on environmental performance cannot be reflected; (3) The media attention is very significant for the environmental performance improvement of state-owned enterprises, and it is not obvious in non-state-owned enterprises. (4) A further breakdown of the study found that the role of media attention in corporate environmental performance is only significant in the sample of local governments that have low environmental protection and are state-owned enterprises. This research incorporates the local government’s emphasis on environmental protection into the research field of vision, expands the research scope of media and corporate environmental performance, and also provides new clues and evidence for promoting the active fulfillment of environmental protection responsibilities by companies and local governments.

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