Assessing eco-efficiency: A metafrontier directional distance function approach using life cycle analysis

被引:71
作者
Beltran-Esteve, Mercedes [1 ]
Reig-Martinez, Ernest [2 ]
Estruch-Guitart, Vicent [3 ]
机构
[1] Univ Valencia, Dept Appl Econ II, Valencia, Spain
[2] Univ Valencia, Dept Appl Econ II, Vie, Ivie, Spain
[3] Univ Politecn Valencia, Dept Econ & Social Sci, Valencia, Spain
关键词
Data envelopment analysis; Directional distance function; Eco-efficiency; Life cycle analysis; Metafrontier; Organic citrus farming; DATA ENVELOPMENT ANALYSIS; ENVIRONMENTAL IMPACTS; ECOSYSTEM SERVICES; LCA; SUSTAINABILITY; METAANALYSIS; AGRICULTURE; SYSTEMS; ENERGY; MODEL;
D O I
10.1016/j.eiar.2017.01.001
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Sustainability analysis requires a joint assessment of environmental, social and economic aspects of production processes. Here we propose the use of Life Cycle Analysis (LCA), a metafrontier (MF) directional distance function (DDF) approach, and Data Envelopment Analysis (DEA), to assess technological and managerial differences in eco-efficiency between production systems. We use LCA to compute six environmental and health impacts associated with the production processes of nearly 200 Spanish citrus farms belonging to organic and conventional farming systems. DEA is then employed to obtain joint economic-environmental farm's scores that we refer to as eco-efficiency. DDF allows us to determine farms' global eco-efficiency scores, as well as eco-efficiency scores with respect to specific environmental impacts. Furthermore, the use of an MF helps us to disentangle technological and managerial eco-inefficiencies by comparing the eco-efficiency of both farming systems with regards to a common benchmark. Our core results suggest that the shift from conventional to organic farming technology would allow a potential reduction in environmental impacts of 80% without resulting in any decline in economic performance. In contrast, as regards farmers' managerial capacities, both systems display quite similar mean scores. (C) 2017 Elsevier Inc. All rights reserved.
引用
收藏
页码:116 / 127
页数:12
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