2017
DOI: 10.1108/srj-02-2016-0031
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Corporate environmental responsibility and financial performance: does bidirectional causality work? Empirical evidence from the manufacturing industry

Abstract: Purpose Over the past two decades, scholarly attention has focused mainly on a direct and inverse relationship between corporate environmental responsibility (CER) and corporate financial performance (CFP). This study aims to explore the bidirectional causality hypothesis, as good environmental results can lead to good financial results, which makes it possible to invest more resources in projects that improve environmental performance. Design/methodology/approach The authors test the bidirectional causality… Show more

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citations
Cited by 72 publications
(63 citation statements)
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References 54 publications
(58 reference statements)
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“…We use the manufacturing data because their operations have direct impacts on societies and the environment. This is consistent with the study conducted by Testa and D'Amato (2017). Corporate performance is proxied by viewing at the total return on assets (ROA) since it describes the level of management effectiveness in generating profit using existing corporate assets.…”
Section: Data Collection Proceduressupporting
confidence: 82%
“…We use the manufacturing data because their operations have direct impacts on societies and the environment. This is consistent with the study conducted by Testa and D'Amato (2017). Corporate performance is proxied by viewing at the total return on assets (ROA) since it describes the level of management effectiveness in generating profit using existing corporate assets.…”
Section: Data Collection Proceduressupporting
confidence: 82%
“…In line with previous and recent studies [16][17][18][19], in our model we considered CFP as the independent variable (IV). In particular, we used Return on Assets (ROA) to quantify CFP because this measure is identified by the majority of studies as the cumulative accounting-based proxy for measuring these type of firms' performance [19,55].…”
Section: Methodsmentioning
confidence: 98%
“…Therefore, we set a one-year time lag between the DV, the IVs and the control variables in the model. This model setting aims to analyze the time-series lead-lag interactions between the predictor and the explanatory variables and to examine the possible virtuous cycle between previous CFP and R&D investments and successive CSP, as highlighted by prior studies [16][17][18][19]48].…”
Section: Methodsmentioning
confidence: 99%
“…Other approaches include [25,26] for Chinese listed companies and [27], which enriches the analysis allowing for the potential existence of bidirectional causality [28,29].…”
Section: Introductionmentioning
confidence: 99%