‘Too-much-of-a-good-thing’? The role of advanced eco-learning and contingency factors on the relationship between corporate environmental and financial performance

Latan, H., Chiappetta Jabbour, C.J., Lopes de Sousa Jabbour, A.B. , Renwick, D.W.S., Wamba, S.F. and Shahbaz, M. (2018) ‘Too-much-of-a-good-thing’? The role of advanced eco-learning and contingency factors on the relationship between corporate environmental and financial performance. Journal of Environmental Management, 220 . pp. 163-172. ISSN 0301-4797

Full content URL: http://doi.org/10.1016/j.jenvman.2018.05.012

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Item Type:Article
Item Status:Live Archive

Abstract

Inspired by the natural-resource-based view (NRBV) theory, we attempt to shed light on a controversy which has been persistent over the last decade, concerning the relationship between corporate environmental performance (CEP) and corporate financial performance (CFP). Using the ‘too-much-of-a-good-thing’ (TMGT) concept, which suggests that “too much can be worse than too little,” we link mixed results and consider the roles of advanced eco-learning and contingency factors in influencing the CEP-CFP relationship. Based on a sample composed of ISO 14001 certified companies in Indonesia, and analyzing the data using consistent Partial Least Squares (PLSc), we found that: the CEP-CFP relationship follows an inverted U-shape; advanced eco-learning is a significant predictor of the CEP-CFP relationship, meaning that organizations able to develop higher eco-learning capability will be better able to identify the ideal boundaries of investment in environmental performance without reducing their financial performance; and that contingency factors such as environmental strategy and firm size have a significant role in influencing the CEP-CFP relationship. The study's limitations, implications for practitioners and a future research agenda are also detailed. © 2018 Elsevier Ltd

Additional Information:cited By 8
Keywords:accountability, advanced technology, corporate strategy, environmental economics, environmental management, factor analysis, finance, firm size, investment, learning, least squares method, natural resource, performance assessment, article, human, Indonesia, organization, partial least squares regression, physician, environmental protection, forecasting, organization, Indonesia, Conservation of Natural Resources, Natural Resources, Organizations
Divisions:Lincoln International Business School
ID Code:39699
Deposited On:20 Jan 2020 11:14

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