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

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.

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Publication Details

Journal
Journal of Infrastructure Policy and Development
Published
2024-12-13
DOI
https://doi.org/10.24294/jipd9035
Citations
2
Primary Topic
Environmental Impact and Sustainability
Type
article
Field-Weighted Citation Impact
0.41
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article

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

Kittisak Jangphanish, Supa Tongkong, Wachira Boonyanet
2 citations
Journal of Infrastructure Policy and Development
Environmental Impact and Sustainability
0.41
article

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

Kittisak Jangphanish, Supa Tongkong, Wachira Boonyanet
article en
2 citations

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.

Journal of Infrastructure Policy and DevelopmentVol. 8(15)
Chulalongkorn University (TH), Rajamangala University of Technology Rattanakosin (TH), Thongsook College (TH)
Industry, innovation and infrastructure
Openalex Percentile: Top 40%
Environmental Impact and Sustainability
0.41
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