Creating a Sustainability Scorecard as a predictive tool for measuring the complex social, economic and environmental impacts of industries, a case study: Assessing the viability and sustainability of the dairy industry

, , , Van Buuren, Neil, & (2014) Creating a Sustainability Scorecard as a predictive tool for measuring the complex social, economic and environmental impacts of industries, a case study: Assessing the viability and sustainability of the dairy industry. Journal of Environmental Management, 133, pp. 184-192.

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Description

Sustainability is a key driver for decisions in the management and future development of industries. The World Commission on Environment and Development (WCED, 1987) outlined imperatives which need to be met for environmental, economic and social sustainability. Development of strategies for measuring and improving sustainability in and across these domains, however, has been hindered by intense debate between advocates for one approach fearing that efforts by those who advocate for another could have unintended adverse impacts. Studies attempting to compare the sustainability performance of countries and industries have also found ratings of performance quite variable depending on the sustainability indices used. Quantifying and comparing the sustainability of industries across the triple bottom line of economy, environment and social impact continues to be problematic. Using the Australian dairy industry as a case study, a Sustainability Scorecard, developed as a Bayesian network model, is proposed as an adaptable tool to enable informed assessment, dialogue and negotiation of strategies at a global level as well as being suitable for developing local solutions.

Impact and interest:

54 citations in Scopus
46 citations in Web of Science®
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ID Code: 65749
Item Type: Contribution to Journal (Journal Article)
Refereed: Yes
ORCID iD:
Buys, Laurieorcid.org/0000-0001-8917-0863
Mengersen, Kerrieorcid.org/0000-0001-8625-9168
Johnson, Sandraorcid.org/0000-0002-3606-5055
Measurements or Duration: 9 pages
Keywords: Bayesian network modelling, Environmental management, Sustainability, Sustainability Scorecard, Sustainable industry, Triple bottom line
DOI: 10.1016/j.jenvman.2013.12.013
ISSN: 0301-4797
Pure ID: 32671173
Divisions: Past > QUT Faculties & Divisions > Creative Industries Faculty
Past > Institutes > Institute for Future Environments
Past > QUT Faculties & Divisions > Science & Engineering Faculty
Current > Research Centres > Australian Research Centre for Aerospace Automation
Copyright Owner: Consult author(s) regarding copyright matters
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Deposited On: 08 Jan 2014 15:45
Last Modified: 27 Oct 2025 04:10