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Article
Publication date: 30 June 2020

Yue Pan, Qiuping Chen and Pengdong Zhang

The purpose of this study is to investigate whether and how policy uncertainty affect corporate environmental information disclosure.

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Abstract

Purpose

The purpose of this study is to investigate whether and how policy uncertainty affect corporate environmental information disclosure.

Design/methodology/approach

This study conducts a difference-in-difference estimation and systematically investigates the relationship between policy uncertainty and corporate environmental information disclosure. The baseline regression results are robust to a series of robustness and endogeneity tests.

Findings

The authors show that firms located in cities with stronger policy uncertainty disclose less information on environmental issues. Furthermore, this negative relationship is stronger in the Midwest and in pre-industrial regions and for stated-owned firms and firms in highly polluting industries.

Practical implications

This study argues that policy uncertainty reduce the corporate disclosure of environmental information. Therefore, the results provide evidence on how to better emphasize the importance of green gross domestic product in the performance appraisal system for officials.

Social implications

This study confirms that corporate environmental disclosure is a response to public pressure. The results encourage the government and the public to increase corporate awareness of environmental protection.

Originality/value

This study contributes to the literature in the following ways. First, the authors provide a new perspective to study the relationship between policy uncertainty and corporate finance. Second, it contributes to the literature on corporate environmental information disclosure by linking policy uncertainty with firms’ disclosure of environmental information. Third, this study is a serious attempt to solve the problem of endogeneity between policy uncertainty and corporate environmental information disclosure.

Details

Sustainability Accounting, Management and Policy Journal, vol. 11 no. 5
Type: Research Article
ISSN: 2040-8021

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Article
Publication date: 13 May 2022

Hanliang Fu, Hong Zhu, Pengdong Xue, Xi Hu, Xiaotong Guo and Bingsheng Liu

This study applied eye-tracking techniques and questionnaires within the framework of the Stimulus-Organism-Response Model (SOR) and Technology Acceptance Model (TAM), to…

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Abstract

Purpose

This study applied eye-tracking techniques and questionnaires within the framework of the Stimulus-Organism-Response Model (SOR) and Technology Acceptance Model (TAM), to investigate the influencing factors of the public acceptance of 5G base stations.

Design/methodology/approach

This study used a combination of eye-tracking experiments and questionnaires. The data were analyzed using partial least squares structural equation modeling (PLS-SEM).

Findings

(1) The Technology Acceptance Model (TAM) could be used to explain the effects on public acceptance of 5G base stations in the context of the COVID-19 pandemic. The public's perceived usefulness and ease of use of 5G base stations positively affects public acceptance of 5G base stations. (2) The public's perceived risk of 5G base stations has a negative influence on the public acceptance of 5G base stations. (3) The public's visual attention to the different valence information about 5G base stations positively impacts the perceived ease of use while having negative impacts on perceived risk. (4) Visual attention to various valence information of 5G base stations can indirectly influence public acceptance through the perceived risk.

Originality/value

Applying the SOR and TAM to data obtained from eye-tracking experiments and questionnaires, this study analyzed the factors and mechanisms influencing public acceptance of 5G base stations in the context of the COVID-19 pandemic.

Details

Engineering, Construction and Architectural Management, vol. 30 no. 8
Type: Research Article
ISSN: 0969-9988

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