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Cost data quality considerations for eco-efficiency measures

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  • Ciroth, Andreas

Abstract

Cost data are a central aspect of eco-efficiency measures, either as means to assess value of production, or, more directly, as one dimension of the efficiency ratio. Several aspects may affect the quality of cost data, among them definitions, time and space, and confidentiality issues. Somewhat surprisingly, cost data quality has received little attention in the field of sustainability and eco-efficiency so far. Even worse, perhaps, is the lack of tools suitable for a cost data quality assessment and management. This paper discusses parameters that affect cost data quality, and will then propose a pedigree matrix as a tool designed for managing cost data quality issues. The application of the matrix is described, also in combination with a previously proposed, and broadly used, pedigree matrix for environmental data quality management.

Suggested Citation

  • Ciroth, Andreas, 2009. "Cost data quality considerations for eco-efficiency measures," Ecological Economics, Elsevier, vol. 68(6), pages 1583-1590, April.
    • Handle: RePEc:eee:ecolec:v:68:y:2009:i:6:p:1583-1590
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    References listed on IDEAS

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    1. Stefanie Hellweg & Gabor Doka & Göran Finnveden & Konrad Hungerbühler, 2005. "Assessing the Eco‐efficiency of End‐of‐Pipe Technologies with the Environmental Cost Efficiency Indicator," Journal of Industrial Ecology, Yale University, vol. 9(4), pages 189-203, October.
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    1. Pier Luigi Marchini & Luca Fornaciari, 2016. "The increasing relevance of managing costs of poor quality (CoPQ). The case of the mineral water industry," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2016(3), pages 65-96.
    2. Wursthorn, Sibylle & Poganietz, Witold-Roger & Schebek, Liselotte, 2011. "Economic-environmental monitoring indicators for European countries: A disaggregated sector-based approach for monitoring eco-efficiency," Ecological Economics, Elsevier, vol. 70(3), pages 487-496, January.
    3. Xueliang Yuan & Leping Chen & Xuerou Sheng & Mengyue Liu & Yue Xu & Yuzhou Tang & Qingsong Wang & Qiao Ma & Jian Zuo, 2021. "Life Cycle Cost of Electricity Production: A Comparative Study of Coal-Fired, Biomass, and Wind Power in China," Energies, MDPI, vol. 14(12), pages 1-15, June.
    4. Malaquias Zildo António Tsambe & Cássio Florisbal de Almeida & Cássia Maria Lie Ugaya & Luiz Fernando de Abreu Cybis, 2021. "Application of Life Cycle Sustainability Assessment to Used Lubricant Oil Management in South Brazilian Region," Sustainability, MDPI, vol. 13(24), pages 1-16, December.
    5. Lee, Ki-Hoon & Wu, Yong, 2014. "Integrating sustainability performance measurement into logistics and supply networks: A multi-methodological approach," The British Accounting Review, Elsevier, vol. 46(4), pages 361-378.
    6. Murray R. Hall & Anthony Priestley & Tim H. Muster, 2018. "Environmental Life Cycle Costing and Sustainability: Insights from Pollution Abatement and Resource Recovery in Wastewater Treatment," Journal of Industrial Ecology, Yale University, vol. 22(5), pages 1127-1138, October.
    7. Elaine Garcia de Lima & Cécile Bulle & Cássia Maria Lie Ugaya, 2018. "A Functionality Based Wood Substitutability Index," Sustainability, MDPI, vol. 10(6), pages 1-28, May.
    8. Gustavo Lannelongue & Javier Gonzalez‐Benito & Oscar Gonzalez‐Benito, 2015. "Input, Output, and Environmental Management Productivity: Effects on Firm Performance," Business Strategy and the Environment, Wiley Blackwell, vol. 24(3), pages 145-158, March.

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