title: Assessing farming eco-efficiency: a Data Envelopment Analysis approach.
abstract: This paper assesses farming eco-efficiency using Data Envelopment Analysis (DEA) techniques. Eco-efficiency scores at both farm and environmental pressure-specific levels are computed for a sample of Spanish farmers operating in the rain-fed agricultural system of Campos County. The determinants of eco-efficiency are then studied using truncated regression and bootstrapping techniques. We contribute to previous literature in this field of research by including information on slacks in the assessment of the potential environmental pressure reductions in a DEA framework. Our results reveal that farmers are quite eco-inefficient, with very few differences emerging among specific environmental pressures. Moreover, eco-inefficiency is closely related to technical inefficiencies in the management of inputs. Regarding the determinants of eco-efficiency, farmers benefiting from agri-environmental programs as well as those with university education are found to be more eco-efficient. Concerning the policy implications of these results, public expenditure in agricultural extension and farmer training could be of some help to promote integration between farming and the environment. Furthermore, Common Agricultural Policy agri-environmental programs are an effective policy to improve eco-efficiency, although some doubts arise regarding their cost-benefit balance.
authors.affiliation: Universidad de Valencia, Dpto. Economía Aplicada II, Avda. dels Tarongers s/n, 46022 Valencia, Spain. Andres.j.picazo@uv.es
authors.forename: Andrés J
authors.initials: AJ
authors.lastname: Picazo-Tadeo
authors.forename: José A
authors.initials: JA
authors.lastname: Gómez-Limón
authors.forename: Ernest
authors.initials: E
authors.lastname: Reig-Martínez
mesh_terms: D000383:Agriculture / Q000379:methods; D003247:Conservation of Natural Resources / Q000379:methods; D017598:Efficiency, Organizational; D006801:Humans; D009584:Nitrogen / Q000032:analysis; D011891:Rain; D012044:Regression Analysis; D013030:Spain; D011795:Surveys and Questionnaires
chemical_list: D009584:Nitrogen