Abstract:
The objective of this study is to analyze the influence of the corporate governance attributes on carbon extrusion disclosures in Pakistan. The sample was selected of 20 finns of cement sector listed with Karachi Stock Exchange 100- index. Annually data were taken from the audited annual reports and Thomson Reuters Data stream from 2015 to 2019. The analysis technique applied through panel data regression analysis with EViews9 Software technique. The Common Effect Model (CEM), Fixed Effect Model (FEM) and Random Effect Model (REM) were applied. Diagnostic test of Hausman also applied for the selecting of appropriate Random Effect Model (REM) or Fixed Effect Model (FEM). The regression model shows that board .-:;or.1position has insignificant relation and negatively influence the Carbon extrusion information while board size, board gender diversity, board environmental committee and board meeting has a positive relation and significant with carbon extrusion disclosure. Board environmental committee has highly significant value with carbon extrusion disclosures.
