Firm Attributes and Environmental Disclosures: A Double Hurdle Regression Approach
The study examines firm attributes and environmental reporting disclosures. The study employs an ex post facto design. As of 2020, the Nigerian Exchange Group (NGX) listed 110 non-financial companies. ESI and non-ESI companies were divided. ESI firms are oil and gas, and industrial goods companies, while non-ESI firms are other non-financial firms listed in the NGX from 2011 to 2020. The study purposively samples 23 ESI and 23 non-ESI firms. The Double-Hurdle technique can determine whether a set of factors affects the extent of disclosures, eliminating the need for Probit and Tobit (Binary) regression's restrictions. From the study findings, Firm size and profit are significant determinant of both the decision to disclose and the extent of disclosure; financial leverage is a significant determinant of disclosure, but does not determine the intensity of disclosure. The study recommends that he government of Nigeria should make environmental disclosure mandatory for firms operating mostly in the environmentally sensitive industries in Nigeria. Keywords: Double-Hurdle regression, environmental disclosures, firm attributes, stakeholder theory, environmental sensitive firms. JEL Classification: M40 M48 F64 Q56