Sustainable Production and Consumption
ISSN: 2352-5509
Datasets associated with articles published in Sustainable Production and Consumption
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18 results
- Data for Appendix B: evaluating and ranking secondary data sources to be used in the Brazilian LCA database – “SICV Brasil”Results of application of the proposed method for ranking of LCI datasets from a bibliographic survey with 57 Brazilian LCI datasets.
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- Data for: ENTREPRENEURSHIP AND NATURAL RESOURCES RENTS: EVIDENCE FROM EXCESSIVE ENTREPRENEURIAL ACTIVITIESThe data of Entrepreneurship activities, natural resources rents, and other variables
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- Data for: An uncertainty analysis of the energy intensity of 37 materials used in automobile manufacturing: statistical methods and recommendationsDocuments containing data on energy intensities of manufactured materials.
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- Data for: Green innovation and competitive advantages in a furniture industrial cluster: a survey and structural modelData from green innovation in furniture companies
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- Data for: Factors influencing sustainability certification among plantation companies in Malaysia: a panel approachCertification decision making of plantation companies
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- Data for: ENVIRONMENTAL LIFE CYCLE ASSESSMENT OF OLIVE POMACE UTILIZATION IN TURKEYresult and CCaLC files
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- Data for: ENVIRONMENTAL LIFE CYCLE ASSESSMENT OF UTILIZING STEM WASTE FOR BANANA PRODUCTION IN GREENHOUSES IN TURKEYAll the scenario files (CCaLC) and overall result file (MS Excel)
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- Data for: Assessing the Sustainability of High-, Middle-, and Low-Income Countries: A Network DEA Model in the Presence of both Zero Data and Undesirable OutputsData and Codes
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- Data for: Assessing the Sustainability of High-, Middle-, and Low-Income Countries: A Network DEA Model in the Presence of both Zero Data and Undesirable Outputs4.1. Data and variables This research covers an economic analysis of 97 developed and developing (25 high-income, 53 middle-income, and 19 low-income) countries in the world in the context of sustainability. For a sustainability measurement of the countries, we first developed a two-stage structure. The first stage indicates sustainable production and the second stage indicates sustainable economic distribution. Then, we applied our network DEA model for measuring efficiency both in the sustainable production stage and in the sustainable distribution stage for each country.
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- Data for: Why using different Life Cycle Assessment software tools can generate different results for the same product system? A cause-effect analysis of the problemAppendix I and Appendix II show the datasets used to run the simulations and the LCA comparison results for this paper.
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