Open AccessDeterminan Environmental Disclosure Dengan Environmental Performance Sebagai Variabel Intervening
Author(s) -
Laras Putri Kinansih,
Asrori Asrori
Publication year - 2020
Publication title -
gorontalo accounting journal
Language(s) - English
Resource type - Journals
eISSN - 2614-2074
pISSN - 2614-2066
DOI - 10.32662/gaj.v3i1.694
Subject(s) - path analysis (statistics) , sobel test , nonprobability sampling , stock exchange , data collection , sample (material) , documentation , variables , accounting , descriptive statistics , environmental data , stakeholder , stakeholder theory , business , population , computer science , statistics , mathematics , management , economics , ecology , sociology , chemistry , demography , finance , chromatography , biology , programming language
This study aims to determine the effect of industrial types, the application of environmental management systems to environmental disclosure as an intervening variable. The main theories in this study include Stakeholder Theory and Ligitimasi Theory. The population of this research is the companies listed on the Indonesia Stock Exchange in 2015-2017 totaling 406 companies. The sample was selected using purposive sampling until 150 units of analysis were selected. The technique of data collection is done by studying documentation by collecting data published on the IDX. The analytical tool to test hypotheses is path analysis with AMOS software version 22. The method of data analysis uses descriptive analysis, path analysis and sobel test. The results of this study indicate that industrial types and environmental performance have a positive effect on environmental disclosure, industry types have a positive effect on environmental performance. While the environmental management system has a negative effect on environmental disclosure. The results of this study also show that the environmental discourse cannot mediate the influence of industry types on environmental disclosure. Suggestions from this study are to use different measurement proxies for environmental management system variables.