O.R. Applications
The impacts of regulated notions of quality on farm efficiency: A DEA application

https://doi.org/10.1016/j.ejor.2003.07.016Get rights and content

Abstract

Recent European Union policy has attempted to regulate agricultural quality production through schemes that either place emphasis on the physical properties and the geographical zone of production of denominated products or on methods and processes of production of organic products. This paper attempts to examine the effects of these two distinct regulated notions of quality on farm efficiency, by estimating efficiency scores using data envelopment analysis (DEA) on a sample of Greek black currant producers who either employ conventional methods of production or organic methods, and who are located either inside or outside a denominated zone of quality production. Findings indicate that the location of the farm significantly affects the technical and scale efficiency scores in the sample of conventional producers, while it does not have any statistically significant effect in the sample of organic farmers. Thus, regulating quality in terms of organic production weakens the effectiveness of regulating quality in terms of the geographical area and denomination of production. Due to these conflicting impacts of quality policy on farm efficiency, the incentives for the cultivation of organic products should apply only outside the denominated areas of quality production.

Introduction

In 1991 and 1992, a series of European Union Regulations introduced a formal institutional framework of rules and procedures for the production of (i) organic agricultural products, and (ii) denominated food products, namely, foodstuffs labeled as products of Protected Geographical Indications (PGIs), products of Protected Designations of Origin (PDOs), and products of Traditional Specialty Guaranteed (TSGs) (Commission of the European Communities, 1991, Commission of the European Communities, 1992a, Commission of the European Communities, 1992b). These policy measures form an integral part of the ongoing effort of EU planners to reform the Union's Common Agricultural Policy (CAP) in the face of: (i) increasing consumer preference for food quality (e.g., Eurobarometer, 1996; Dimara and Skuras, 2003) and food safety, following recent alarming events such as the BSE outburst and dioxine-poisoned food, (ii) concerns about environmental problems linked to current farming practices, and (iii) concerns about the survival of EU farm operations in an increasingly liberalized, international marketplace.

Institutionalizing the production of organic and denominated farm products may be viewed as a strategy which attempts to address all three considerations above. On the one hand, it addresses preferences for food quality and safety and environmental concerns. On the other hand, it introduces a distinctly defined mechanism for farm product differentiation, which may help European farmers develop market niches in an increasingly competitive global economy.

The actual implementation of these quality-oriented regulations provides the applied economic research with an interesting field of study. In the first place, the adoption of these new farming modes, which are governed by specific rules, may be expected to affect farm management, and more specifically, the farm's technical efficiency, that is the ability of the farmers to obtain maximal output from the inputs they actually use. In the case of Greece, the technical efficiency of farms that have adopted organic farming techniques has recently been studied for a number of crops (Tzouvelekas et al., 2002).

An additional issue of interest to applied economists is how farm efficiency will be affected when more than one of these quality-oriented regulations are simultaneously adopted by farmers. The exploration of this question is largely empirical and worth pursuing, primarily for policy reasons. More explicitly, if all such regulations can become available to every farmer, with no restrictions whatsoever as to how many or which ones the farmer can adopt, and this adoption has an implicit impact on farm efficiency, then useful insights may emerge for policy planners. For example, there might be cases wherein allowing farmers to register with one additional quality regulation will reduce efficiency differentials existing for farms operating under another quality regulation.

Within this context, the objective of this paper is to assess the implicit impact of multiple EU quality-oriented regulations on farm efficiency and discuss its policy implications. To that end, we utilize existing methodological developments in the area of data envelopment analysis (DEA) to study the case of Greek black currant producers who are eligible for both denominated (i.e., PDO) as well as organic currant production. Clearly, the focus of this study is not on advancing methodological procedures, but rather on assessing possible conflicting or complementary facets in the implementation of the EU quality-oriented regulations.

The remainder of the paper is organized as follows: the regulated notions of quality and the institutional framework of currant production in Greece are described in the next section; the methodological framework and the data used are presented in Section 4; the estimation results are discussed in Section 5; policy implications and concluding remarks follow.

Section snippets

The changing notions of food quality

In recent years, the outbreak of many food-related crises (i.e., E. coli, BSE, dioxines, foot-and-mouth disease-FMD) and safety scares over genetically modified food, the excessive use of chemical fertilizer/pesticides in plant production, and antibiotics in animal raising have eroded consumer trust in conventionally produced food, forcing the implementation of food standards and `science' in general (Bromley, 2001; McNaghten and Urry, 1998). Consumers are becoming increasingly concerned about

Data envelopment analysis (DEA)

The objective is to determine the relative efficiency for each farm. Efficiency is a multi-faceted phenomenon. From an output point of view, a firm may be called (technically) efficient if it produces the maximum output in a certain technological regime (environment) with given input quantities. From an input point of view, a firm may be called (technically) efficient if it produces a given level of output in a certain technological regime, using minimal quantities of inputs. Efficiency is

Results

The DEA model is applied to conventional and organic farms separately, due to the fact that conventional and organic farming represent two distinct technologies. Relevant references in the international literature tend to assume that conventional and organic cultivation represent two distinct modes of production and, thus, should be modeled under two different production frontiers (Tzouvelekas et al., 2001a, Tzouvelekas et al., 2001b). Indeed, compared with their conventional colleagues,

Discussion and policy implications

Recent EU regulations have attempted to regulate the quality of agricultural production through schemes which allow (i) the production of denominated products with emphasis on the physical properties and the geographical zone of production and (ii) the production of organic products with emphasis on methods and processes of production. This paper has attempted to examine quantitatively the effects of these two distinct regulated notions of quality on farm efficiency. Taking into account the

Acknowledgements

This work arises from a program of collaborative research by the following: the Department of Geography at the Universities of Coventry, Leicester, Lancaster, Caen, Valencia, Galway and Trinity College Dublin; the Scottish Agricultural College (Aberdeen); Institute of Rural Studies (Aberystwyth); CEMAGREF (Clermont-Ferrand); Teagasc (Dublin); Department of Economics (University of Patras); and Seinajoki Institute for Rural Research and Training (University of Helsinki). The research was funded

References (45)

  • R.D. Banker et al.

    Some models for estimating technical and scale inefficiencies in data envelopment analysis

    Management Science

    (1984)
  • D. Bromley

    Mad cows, drugged cows, and juggled genes

    Choices

    (2001)
  • A. Charnes et al.

    Data Envelopment Analysis: Theory Methodology and Applications

    (1995)
  • J. Coakley

    Sport in Society: Issues and Controversies

    (1998)
  • T.J. Coelli et al.

    An Introduction to Efficiency and Productivity Analysis

    (1998)
  • Commission of the European Communities, 1984. Council Regulation (EEC) No 2347/84 of 31 July 1984 on dried grapes...
  • Commission of the European Communities, 1991. Council Regulation (EEC) No 2092/91 of 24 June 1991 on organic production...
  • Commission of the European Communities, 1992a. Council Regulation (EEC) No 2081/92 of 14 July 1992 on the protection of...
  • Commission of the European Communities, 1992b. Council Regulation (EEC) No 2082/92 of 14 July 1992 on certificates of...
  • Commission of the European Communities, 2000. The agricultural situation in the Community. Office for Official...
  • D. Damianos et al.

    Greek Agriculture in a Changing International Environment

    (1998)
  • E. Dimara et al.

    Consumer evaluations of product certification, geographic association and traceability in Greece

    European Journal of Marketing

    (2003)
  • Cited by (28)

    • Evaluating the effects of European support measures for Italian organic farms

      2021, Land Use Policy
      Citation Excerpt :

      The first stage of this study consists in determining an index of economic efficiency for organic farms through the DEA, useful in the second stage for the determination of the impacts of organic funding. The DEA represents one of the most important statistical methods used to analyze performance in the agricultural field (e.g. Dhungana et al., 2004; Dimara et al., 2005; Picazo-Tadeo et al., 2011; Moutinho et al., 2018). As known, DEA was initially used as a tool to measure the performance of public organizations, subsequently it was applied to the study of the productive behaviour of public and non-profit companies (Ganley and Cubbin, 1992).

    • Efficiency, total factor productivity and returns to scale in a sustainable perspective: An analysis in the European Union at farm and regional level

      2017, Land Use Policy
      Citation Excerpt :

      The crop and livestock outputs (land, tractors, labour, fertilizer and livestock as inputs) were, still, considered by Headey et al. (2010) for 88 world countries. The specific costs and intermediate costs are interesting variables as proxies for the productivity/technical efficiency of variable factor and was considered by authors such as Dimara et al. (2005), Davidova and Latruffe (2007), Rezitis (2010) and ŠpiIka and Smutka (2014). On the other hand, Nowak et al. (2015) highlighted for capital the capital flow in the inputs, together with the labour and the utilized agricultural area, and as output the agricultural production at basic prices.

    • A two-stage DEA approach for quantifying and analysing the inefficiency of conventional and organic rain-fed cereals in Spain

      2017, Journal of Cleaner Production
      Citation Excerpt :

      The recent studies of Aldanondo-Ochoa et al. (2014) and Poudel et al. (2015) found empirical evidence supporting higher TE in organic farmers than conventional ones in the case of vineyard producers in Spain (TE: 0.78 versus 0.56 in VRS DEA model) and coffee producers in Nepal (TE score 0.89 versus 0.83 in CRS DEA model). This contrasts with the results of Dimara et al. (2005), Alkahtani and Elhendy (2012) and Beltrán-Esteve and Reig-Martínez (2014) who concluded that conventional farms, on average, are more efficient than organic farms. Moreover, the adoption of the SFA approach does not resolve the issue on which production approach provides superior efficiency.

    • Using logistic models to optimize the food supply chain

      2015, Modeling Food Processing Operations
    • DEA based multi-period evaluation system for research in academia

      2012, Expert Systems with Applications
      Citation Excerpt :

      Since DEA does not require a specific mathematical form of the production function and quantify the efficiency of every DMUs included in the analysis, it has been widely applied in various fields such as in educational organizations, banks, police and hospitals (Alexander, Haug, & Jaforullah, 2010; Camanho & Dyson, 2006; Fukuyama & Weber, 2002; Glass, McKillop, & O’Rourke, 1998; Kazley & Ozcan, 2009; Lin, Lee, & Chiu, 2009; McEachern & Paradi, 2007; Wu, Chen, & Yeh, 2010). In addition, its application was recently extended to various industry and research areas analyzing IT project efficiency, Human Resources Management (HRM), Customer Relationships Management (CRM), farm efficiency, and corporate efficiency (Bowlin, Renner, & Reeves, 2003; Dimara, Pantzios, Skura, & Tsekouras, 2005; Halkos & Tzeremes, 2010; Moon & Sohn, 2005; Serrano-Cinca, Fuertes-Callén, & Mar-Molinero, 2005; Shin & Sohn, 2004; Sohn, 2006; Sohn & Choi, 2006; Sohn & Moon, 2004; Tseng & Lee, 2009). However, the general DEA model (CCR) is not suitable for ranking the efficient units since all the efficient DMUs on the production frontier have an efficiency score of one.

    • Organic or conventional? Optimal dairy farming technology under the EU milk quota system and organic subsidies

      2011, Food Policy
      Citation Excerpt :

      In our empirical analysis, however, this distorting effect is likely to be limited because more than one hundred organic farms have been included in the analysis. Other DEA studies on organic farming (e.g. Oude Lansink et al., 2002; Dimara et al., 2005) include fewer farms than we do. We analysed the competitive position of organic and conventional dairy farming under different policy scenarios.

    View all citing articles on Scopus
    View full text