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      The composite governance mechanisms and sustainable economic performance of Pakistan’s textile industry

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          Abstract

          This study examines the influence of corporate governance mechanisms on the sustainable economic performance of the textile industry in Pakistan. Performance is measured by using a global reporting initiative (GRI 201–1), an economic performance approach. The composite corporate governance mechanism index (CGMI) construction consists of five sub-indices: board of directors, disclosure and transparency, audit committee, shareholder rights, and remuneration committee. The empirical analysis demonstrated the consistency of the fixed effect model through the Hausman model specification test for data from textile firms listed on the Pakistan Stock Exchange from 2008 to 2023. However, the investigation has invoked the Generalized Method of Moments (GMM) estimation model to check its robustness. The findings indicated the positive empirical relationship between the composite CGMI and sustainable economic performance, supported by modified theoretical logics: agency theory, stewardship theory, stakeholder theory, resource-based theory, and transaction-cost theory. The findings support policymakers, regulators, and managers in executing appropriate governance mechanisms with reduced agency cost and transaction costs and improve sustainable performance.

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          Theory of the firm: Managerial behavior, agency costs and ownership structure

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            A resource-based view of the firm

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              What Determines Corporate Transparency?

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                Author and article information

                Contributors
                Role: Data curationRole: Formal analysisRole: Methodology
                Role: ValidationRole: Writing – review & editing
                Role: Conceptualization
                Role: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLOS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                13 February 2025
                2025
                : 20
                : 2
                : e0316388
                Affiliations
                [1 ] National University of Modern Languages, Islamabad, Pakistan
                [2 ] College of Business and Economics, United Arab Emirates University, Al Ain, UAE
                [3 ] Faculty of Management Sciences, National University of Modern Languages, Islamabad, Pakistan
                [4 ] University of Lahore, Lahore, Pakistan
                Sir Padampat Singhania University, INDIA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0002-5348-7655
                https://orcid.org/0009-0002-7169-6271
                Article
                PONE-D-24-17105
                10.1371/journal.pone.0316388
                11825003
                39946346
                33c1b16d-4783-4c7a-bf3b-0dd8fe78a4ca
                © 2025 Saleem et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 28 April 2024
                : 10 December 2024
                Page count
                Figures: 0, Tables: 8, Pages: 19
                Funding
                The author(s) received no specific funding for this work.
                Categories
                Research Article
                Ecology and Environmental Sciences
                Sustainability Science
                Social Sciences
                Economics
                Finance
                People and Places
                Geographical Locations
                Asia
                Pakistan
                Social Sciences
                Economics
                Labor Economics
                Social Sciences
                Economics
                Engineering and Technology
                Signal Processing
                Autocorrelation
                Research and Analysis Methods
                Mathematical and Statistical Techniques
                Statistical Methods
                Autocorrelation
                Physical Sciences
                Mathematics
                Statistics
                Statistical Methods
                Autocorrelation
                Biology and Life Sciences
                Ecology
                Theoretical Ecology
                Ecology and Environmental Sciences
                Ecology
                Theoretical Ecology
                Research and Analysis Methods
                Mathematical and Statistical Techniques
                Statistical Methods
                Test Statistics
                Physical Sciences
                Mathematics
                Statistics
                Statistical Methods
                Test Statistics
                Custom metadata
                Data supporting to this article is uploaded in Supporting information.

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