Combined application of life cycle assessment and data envelopment analysis as a methodological approach for the assessment of fisheries

Vázquez‐Rowe, Ian; Iribarren, Diego; Moreira, Marı́a Teresa; Feijoó, Gumersindo

doi:10.1007/s11367-010-0154-9

Cited by 130 publications

(62 citation statements)

References 25 publications

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“…DEA method'' approach, which combines environmental LCA with data envelopment analysis (DEA), a linear programming method, suggest that fleets with increased energy demand have a higher operational efficiency and, therefore, less space for minimization of operational inputs and environmental impact reductions (Vázquez-Rowe et al 2010b, 2011b.…”

Section: Comparison Between the Assessed Fishing Fleetsmentioning

confidence: 99%

Edible Protein Energy Return on Investment Ratio (ep-EROI) for Spanish Seafood Products

Vázquez‐Rowe

Villanueva-Rey

Moreira

et al. 2013

AMBIO

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Life cycle assessment (LCA) has developed into a useful methodology to assess energy consumption of fishing fleets and their derived seafood products, as well as the associated environmental burdens. In this study, however, the life cycle inventory data is used to provide a dimensionless ratio between energy inputs and the energy provided by the fish: the edible protein energy return on investment (ep-EROI). The main objective was to perform a critical comparison of seafood products landed in Galicia (NW Spain) in terms of ep-EROI. The combination of energy return on investment (EROI) with LCA, the latter having standardized mechanisms regarding data acquisition and system boundary delimitation, allowed a reduction of uncertainties in EROI estimations. Results allow a deeper understanding of the energy efficiency in the Galician fishing sector, showing that small pelagic species present the highest ep-EROI values if captured using specific fishing techniques. Finally, results are expected to provide useful guidelines for policy support in the EU's Common Fisheries Policy.

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Section: Comparison Between the Assessed Fishing Fleetsmentioning

confidence: 99%

Edible Protein Energy Return on Investment Ratio (ep-EROI) for Spanish Seafood Products

Vázquez‐Rowe

Villanueva-Rey

Moreira

et al. 2013

AMBIO

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“…The main reason was the great differences in value between processing outputs and between fish species, which meant that the involved fishermen and processors would act to increase the most valuable outputs. Several studies have used mass allocation, including Eyolfsdottir et al (2003), Hospido and Tyedmers (2005), Vázquez-Rowe et al (2010) and Winther et al (2009). Eyjollfsdottir et al (2003 studied trawled cod.…”

Section: Introductionmentioning

confidence: 99%

Effect of different allocation methods on LCA results of products from wild-caught fish and on the use of such results

Svanes

Vold

Hanssen

2011

Int J Life Cycle Assess

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Purpose The purpose of this study has been to investigate the effect of different allocation methods on life cycle assessment (LCA) results of products derived from linecaught cod and the consequences of applying these methods considering the main aims of this case study. These aims were for internal improvement work and communication of results to the market. Methods Standard LCA methodology was applied. Mass allocation, economic allocation, a novel hybrid allocation and gross energy content allocation have been tested on a case study, and the results are discussed. In the case study, allocation problems in the studied case arose in the fishing and processing stages. Avoidance of allocation by splitting of processes, biological causality and system expansion or the avoided product approach was deemed to be not feasible. Results and discussion Economic allocation gave a much larger spread of impacts between the different products than mass allocation, especially for processing residue, due to large price differences. Hybrid allocation gave impacts in between mass and economic allocation because the set factors give a higher value for products that are for human consumption. Energy allocation gave results close to mass allocation because the energy content is quite similar in different species and products. Economic allocation is sensitive to price changes, the others are not. When used for evaluating environmental performance improvement measures that change the relative yields for human consumption and other purposes, the different methods used reflected very different results. When used in communication to the market, the different allocation methods yield results that could lead to different behaviours by market actors. Conclusions The different allocation methods gave very different results for the studied products; hence in order to achieve comparability between products, the same method must be used in all the cases. Different allocation methods might be appropriate for different purposes. For external communication to the market, mass allocation might be the preferred method in most cases. For internal improvement work, both economic and mass allocation could be used, but economic allocation might be the best alternative. The comparability of LCA results of products from wild-caught fish is limited, due to the lack of an agreed standard method. It is recommended to consider the different applications of the results when developing such a method. Different purposes might require different methodological choices, e.g. allocation methodology.

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“…This method enables us to measure an eco-efficiency score with respect to each environmental impact category such as GWP. In contrast, to create a comprehensive eco-efficiency indicator, other papers have proposed data envelopment analysis (DEA)-based eco-efficiency using multiple environmental impacts or life cycle inventory data [56][57][58][59]. A number of studies have confirmed the effectiveness of a combined application of LCA and DEA in aggregate eco-efficiency assessment of agricultural production (e.g., [57,[60][61][62]).…”

Section: Eco-efficiency Measurement Methodologiesmentioning

confidence: 99%

Optimization Model for Mitigating Global Warming at the Farm Scale: An Application to Japanese Rice Farms

Masuda¹

2016

Sustainability

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Abstract:In Japan, greenhouse gas emissions from rice production, especially CH 4 emissions in rice paddy fields, are the primary contributors to global warming from agriculture. When prolonged midseason drainage for mitigating CH 4 emissions from rice paddy fields is practiced with environmentally friendly rice production based on reduced use of synthetic pesticides and chemical fertilizers, Japanese rice farmers can receive an agri-environmental direct payment. This paper examines the economic and environmental effects of the agri-environmental direct payment on the adoption of a measure to mitigate global warming in Japanese rice farms using a combined application of linear programming and life cycle assessment at the farm scale. Eco-efficiency, which is defined as net farm income divided by global warming potential, is used as an integrated indicator for assessing the economic and environmental feasibilities. The results show that under the current direct payment level, the prolonged midseason drainage technique does not improve the eco-efficiency of Japanese rice farms because the practice of this technique in environmentally friendly rice production causes large economic disadvantages in exchange for small environmental advantages. The direct payment rates for agri-environmental measures should be determined based on the condition that environmentally friendly agricultural practices improve eco-efficiency compared with conventional agriculture.

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Combined application of life cycle assessment and data envelopment analysis as a methodological approach for the assessment of fisheries

Cited by 130 publications

References 25 publications

Edible Protein Energy Return on Investment Ratio (ep-EROI) for Spanish Seafood Products

Edible Protein Energy Return on Investment Ratio (ep-EROI) for Spanish Seafood Products

Effect of different allocation methods on LCA results of products from wild-caught fish and on the use of such results

Optimization Model for Mitigating Global Warming at the Farm Scale: An Application to Japanese Rice Farms

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