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Joint data envelopment analysis and life cycle assessment for environmental impact reduction in broiler production systems
In recent years, livestock production sector has significantly grown associated with increasing of environmental impacts. In the present research 90 broiler farms in Isfahan Providence, Iran, were considered to be evaluated in terms view of environmental impacts. The aim of the present research is r...
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Published in: | Energy (Oxford) 2017-05, Vol.127, p.768-774 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | In recent years, livestock production sector has significantly grown associated with increasing of environmental impacts. In the present research 90 broiler farms in Isfahan Providence, Iran, were considered to be evaluated in terms view of environmental impacts. The aim of the present research is reducing environmental impacts of the studied farms by data envelopment analysis. By the method, efficiency of the farms was determined and inefficient farms were improved to reach efficient level through reducing energy and resources use. Before and after comparing all farms, eleven environmental impacts of the farms were calculated using life cycle assessment method. The results showed that the used energy in farms can be reduced by 10.16%. The contribution of food production to environmental impacts was especially high in almost all environmental indicators. As a result of energy use improvement, the environmental impacts were reduced by 12–57%. The highest reduction was seen in ozone layer depletion, abiotic depletion, marine aquatic ecotoxicity and human toxicity as 57.37, 31.32, 27.59 and 26.73%, respectively. The research methodology and obtained results can be used to reduce environmental emissions through managing the resources and energy use in broiler production systems.
•The environmental impacts of broiler farms in Isfahan Providence, Iran were determined.•The efficient and inefficient farms were identified by data envelopment analysis.•The inefficient farms were optimized to reach efficient level.•The environmental impacts of all studied farms were calculated after optimization.•All impact indexes were decreased after optimization. |
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ISSN: | 0360-5442 1873-6785 |
DOI: | 10.1016/j.energy.2017.03.112 |