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      The impact of environmental management accounting on environmental and financial performance: empirical evidence from Bangladesh

      , ,
      Journal of Accounting & Organizational Change
      Emerald

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          Abstract

          Purpose

          This study aims to investigate the impact of environmental management accounting (EMA) on manufacturing companies’ environmental and financial performance in Bangladesh. Thus, this research recognizes essential factors such as EMA, environmental performance (EP), financial performance (FP), environmental information systems (EIS), knowledge management (KM), green innovation and energy efficiency (EE).

          Design/methodology/approach

          This research uses a quantitative approach and uses 323 responses from the manufacturing firms. This research tests the study model through the “Partial Least Square-Structural Equation Modeling” (PLS-SEM) technique using Smart PLS v3.3 software. This research uses AMOS v24 and 40% sample consideration to check the robustness. The study passes various model fit measures, i.e. reliability, validity, factor analysis and goodness of fit.

          Findings

          The research finds that EMA is positively and significantly associated with EP and FP. The study also finds a substantial relationship between recognized factors with EMA and EP. This research connects the stakeholder theory and institutional theory to the EMA model and shows the pressures from stakeholders and institutions reassuring the manufacturing firms to implement EMA. This research evidences that EMA enhances EP and FP.

          Originality/value

          The policymakers, regulators and government can consider these findings to formulate policy regarding companies’ EP and FP. Particularly, company executives can focus on KM, EIS, green innovation and EE factors for EP and FP.

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          Most cited references85

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          When to use and how to report the results of PLS-SEM

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            Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics

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              An assessment of the use of partial least squares structural equation modeling in marketing research

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                Author and article information

                Journal
                Journal of Accounting & Organizational Change
                JAOC
                Emerald
                1832-5912
                1832-5912
                July 15 2022
                May 25 2023
                July 15 2022
                May 25 2023
                : 19
                : 3
                : 420-446
                Article
                10.1108/JAOC-11-2021-0157
                90f3f967-42fb-495c-823a-ca4fb7f91481
                © 2023

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