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Panel regression of industrial sustainability indicators: Two-step system GMM to robust estimation

Year: 2024

Type: article

Abstract: This study aims to scrutinize specific long-term sustainability industrial indicators in Thailand as a representative of an emerging economy. The study uses a Bloomberg database comprising all Thai listed companies on the Stock Exchange of Thailand from 2013 to 2023. The research employs a two-step Generalized Method of Moments (GMM) statistics to assess the enduring impact on industrial sustainability. These results provide consistent, significant and positive relationships between asset turnover and sales with all industrial sustainability. The results additionally reveal that some other factors may moderate industrial sustainability but reveal the GDP growth rate and institutional shareholders are less likely to be corporate sustainability to all indicators. The results provide insight into valuable guidance to management teams, financial statements’ users, investors and other stakeholders on designing effective operations and investment strategies to improve sustainability.

Source: Journal of Infrastructure Policy and Development

DOI: 10.24294/jipd9035

Authors: Wachira Boonyanet, Kittisak Jangphanish, Supa Tongkong

Institutions: Chulalongkorn University, Rajamangala University of Technology Rattanakosin, Thongsook College

Language: English

Topic: Corporate Social Responsibility Reporting

Subfield: Strategy and Management

Field: Business, Management and Accounting

Domain: Social Sciences

SDGs: Industry, innovation and infrastructure, Decent work and economic growth

Open Access status: diamond

OpenAlex ID: W4405383674

FWCI: 1.711

Cites: 48

Cited by: 5

Related to: 10