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	<front>
		<journal-meta>
			<journal-id journal-id-type="publisher-id">SCIENTIA MARINA</journal-id>
			<journal-title-group>
				<journal-title>Scientia Marina</journal-title>
				<abbrev-journal-title>Sci Mar</abbrev-journal-title>
			</journal-title-group>
			<issn pub-type="epub">0214-8358</issn>
			<publisher>
				<publisher-name>Consejo Superior de Investigaciones Científicas</publisher-name>
			</publisher>
		</journal-meta>
		<article-meta>
			 <article-id pub-id-type="publisher-id">sm4749</article-id>
			 <article-id pub-id-type="doi">10.3989/scimar.04749.22A</article-id>
			 
			
		<title-group>
			  <article-title>Efficiency of shallow- and deep-water trawling in the Mediterranean and its implications for discard reduction</article-title>
		<trans-title-group xml:lang="es">
		<trans-title>Comparación de la eficiencia de las flotas de arrastre costera y de profundidad en el Mediterráneo y sus implicaciones para la reducción de los descartes</trans-title>
		</trans-title-group>
		<alt-title alt-title-type="running-head">Efficiency of deep-water trawling and its implications for discard reduction</alt-title>
		</title-group>

		<contrib-group>
			<contrib contrib-type="issue-editor"> 
				<name>
				 <surname>Demestre</surname>
				 <given-names>Montserrat</given-names>
				</name>
				<role>Special Issue Editor</role>
				</contrib>
			<contrib contrib-type="issue-editor"> 
				<name>
				 <surname>Maynou</surname>
				 <given-names>Francesc</given-names>
				</name>
				<role>Special Issue Editor</role>
				</contrib>
		</contrib-group>
			
		<contrib-group>
		<contrib contrib-type="author" corresp="yes"> 
			<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-3832-3377</contrib-id>
			<name>
				 <surname>Pinello</surname>
				 <given-names>Dario</given-names>
			</name>
			<xref ref-type="aff" rid="U1"/>
			<xref ref-type="aff" rid="U2"/>
			<ext-link ext-link-type="email" xlink:href="mailto:pinello@nisea.eu">pinello@nisea.eu</ext-link>
		</contrib>
		<contrib contrib-type="author" corresp="no"> 
			<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-3690-9510</contrib-id>
			<name>
				 <surname>Gee</surname>
				 <given-names>Jennifer</given-names>
			</name>
			<xref ref-type="aff" rid="U3"/>
			<ext-link ext-link-type="email" xlink:href="mailto:jennifer.gee@fao.org">jennifer.gee@fao.org</ext-link>
		</contrib>
		<contrib contrib-type="author" corresp="no"> 
			<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-2129-1869</contrib-id>
			<name>
				 <surname>Accadia</surname>
				 <given-names>Paolo</given-names>
			</name>
			<xref ref-type="aff" rid="U1"/>
			<ext-link ext-link-type="email" xlink:href="mailto:accadia@nisea.eu">accadia@nisea.eu</ext-link>
		</contrib>
		<contrib contrib-type="author" corresp="no"> 
			<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-2129-1869</contrib-id>
			<name>
				 <surname>Sabatella</surname>
				 <given-names>Evelina Carmen</given-names>
			</name>
			<xref ref-type="aff" rid="U1"/>
			<ext-link ext-link-type="email" xlink:href="mailto:e.sabatella@nisea.eu">e.sabatella@nisea.eu</ext-link>
		</contrib>
		<contrib contrib-type="author" corresp="no"> 
			<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-6063-4126</contrib-id>
			<name>
				 <surname>Vitale</surname>
				 <given-names>Sergio</given-names>
			</name>
			<xref ref-type="aff" rid="U4"/>
			<ext-link ext-link-type="email" xlink:href="mailto:sergio.vitale@cnr.it">sergio.vitale@cnr.it</ext-link>
		</contrib>		
		<contrib contrib-type="author" corresp="no"> 
			<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-7092-0425</contrib-id>
			<name>
				 <surname>Polymeros</surname>
				 <given-names>Kostantinos</given-names>
			</name>
			<xref ref-type="aff" rid="U2"/>
			<ext-link ext-link-type="email" xlink:href="mailto:polikos@uth.gr">polikos@uth.gr</ext-link>
		</contrib>		
		<contrib contrib-type="author" corresp="no"> 
			<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-6302-649X</contrib-id>
			<name>
				 <surname>Fiorentino</surname>
				 <given-names>Fabio</given-names>
			</name>
			<xref ref-type="aff" rid="U4"/>
			<ext-link ext-link-type="email" xlink:href="mailto:fabio.fiorentino@iamc.cnr.it">fabio.fiorentino@iamc.cnr.it</ext-link>
		</contrib>		
			  <aff id="U1">NISEA-Fisheries and Aquaculture Economic Research, Via Irno 11, 84135 Salerno, Italy.</aff>
			  <aff id="U2">Department of Ichthyology and Aquatic Environment, School of Agricultural Sciences, University of Thessaly, Fytoko Street, 38445 Nea Ionia, Magnesia, Greece.</aff>
			  <aff id="U3">Food and Agriculture Organization of the United Nations, Statistics and Information Branch, Fisheries and Aquaculture Department, Rome, Italy.</aff>
			  <aff id="U4">CNR-Istituto per l’Ambiente Marino Costiero, Sede di Mazara del Vallo, V. L. Vaccara 61, 91026 Mazara del Vallo (TP), Italy.</aff>
			 </contrib-group>
	 <contrib-group>
			<contrib contrib-type="editor">
				<name>
					<surname>Maynou</surname>
					<given-names>F.</given-names>
				</name>
				<role>Editor</role>
			</contrib>
		</contrib-group>	 		
<pub-date pub-type="epub">
		<day>31</day>
		<month>12</month>
		<year>2018</year>
		</pub-date>
		<pub-date pub-type="collection">
		<year>2018</year>
		</pub-date>
		
		<volume>82S1</volume>
		<issue>Suppl. 1</issue>
		<issue-title>
 Discards regulation vs Mediterranean fisheries sustainability</issue-title>
		<fpage>97</fpage>
		<lpage>106</lpage>
		
		<elocation-id content-type="doi">10.3989/scimar.04749.22A</elocation-id>

		 <history>
		  	<date date-type="received">
				<day>8</day>
				<month>1</month>
				<year>2018</year>
			</date>
			<date date-type="accepted">
				<day>17</day>
				<month>5</month>
				<year>2018</year>
			</date>
			<date date-type="published">
				<day>2</day>
				<month>7</month>
				<year>2018</year>
			</date>
		 </history>
		 
		<permissions>
		<copyright-statement>&#x00A9; 2018 CSIC</copyright-statement>
		<copyright-year>2018</copyright-year>
		<license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/3.0/">
		<license-p> This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) License</license-p>
		</license>
		</permissions>
		
		<abstract xml:lang="en">
		<title>SUMMARY</title>
		<p>The Mazara del Vallo fleet is one of the main fleets of large trawlers in the Mediterranean. Traditionally, the two main fishing strategies adopted by the fleet can be summarized as follows: <italic>pesca a fresco</italic> (&lt;250 m), mainly targeting fish and cephalopods sold fresh; and <italic>pesca a congelato</italic> (&gt;250 m), mainly targeting deep-water shrimp sold frozen. The second fishing strategy has become increasingly important over the last decade. This paper aims to investigate the extent to which the choice of targeting deep-water shrimp impacted the level of technical and scale efficiency for the fleet assessed through an input-oriented data envelopment analysis. The analysis was based on data collected under the Italian National Programme within the European Data Collection Framework, as well as through a focus group discussion with the trawler skippers. The results showed that the <italic>pesca a congelato</italic> trawlers had the highest average efficiency, with both technical and scale efficiency close to the maximum level. On the basis of information collected during the focus group discussion on the<italic> pesca a congelato</italic> strategy, technical efficiency was coupled with a lower discard rate and the widespread use of LED lights. The findings were discussed in light of the objective of discard reduction in European fisheries, one of the pillars of the reformed common fishery policy.</p>
		</abstract>
		<trans-abstract xml:lang="es">
		<title>RESUMEN</title>
		<p>La flota de Mazara del Vallo es una de las principales flotas de grandes arrastreros en el Mediterráneo. Tradicionalmente, las dos estrategias de pesca adoptadas por la flota pueden resumirse en <italic>pesca a fresco</italic> (&lt;250 m), cuyas especies objetivo son peces y cefalópodos comercializados frescos y <italic>pesca a congelato</italic> (&gt;250 m) que tiene por objetivo gambas de profundidad que se venden congeladas. Esta segunda estrategia ha llegado a ser más importante en la última década. En esta contribución investigamos hasta qué punto la opción de pescar gambas de profundidad tiene impacto sobre los niveles de eficiencia técnica y de escala para la flota, evaluados mediante el Análisis de Envoltorio de Datos determinado por insumos. Para el análisis nos basamos en datos recolectados a través del programa nacional italiano del marco europeo de recogida de datos, además de discusión con un grupo focal de patrones de embarcaciones de arrastre. Los resultados muestran que los arrastreros que practican la <italic>pesca a congelato</italic> tienen la eficiencia media más alta, con la eficiencia técnica y de escala cercana al nivel máximo. En base a la información recogida durante la discusión con el grupo focal sobre la estrategia de <italic>pesca a congelato</italic>, la eficiencia técnica está correlacionada con una tasa de descarte inferior y con el uso generalizado de dispositivos LED. Se discuten los resultados en el marco del objetivo de reducción de descartes de las pesquerías europeas, uno de los pilares de la reforma actual de la política pesquera común.</p>
		</trans-abstract>
		<kwd-group xml:lang="en">
			<title>KEYWORDS</title>
			<kwd>data envelopment analysis</kwd>
			<kwd>technical and scale efficiency</kwd>
			<kwd>fishery strategy</kwd>
			<kwd>bottom trawling</kwd>
			<kwd>focus group discussion</kwd>
			<kwd>fishing lights</kwd>			
			<kwd>discard reduction</kwd>			
		</kwd-group>
		<kwd-group xml:lang="es">
			<title>PALABRAS CLAVE</title>
			<kwd>análisis de envoltorio de datos</kwd>
			<kwd>eficiencia técnica y de escala</kwd>			
			<kwd>estrategia de pesca</kwd>
			<kwd>arrastre de fondo</kwd>
			<kwd>discusión en grupo focal</kwd>
			<kwd>luces de pesca</kwd>
			<kwd>reducción de descartes</kwd>
		</kwd-group>
	 </article-meta>
	</front>
	
		<body>
<sec id="S1">
<title>INTRODUCTION</title>
			<p>Efficiency, together with sustainable utilization and equity in access to resources, is seen as one of the main aspects to be considered in the management of fisheries (<xref ref-type="bibr" rid="CIT03">Cochrane 2000</xref>). According to <xref ref-type="bibr" rid="CIT22">Grafton et al. (2006)</xref>, efficiency in fisheries is considered to be doing the best possible with the available resources in terms of fish stock and fishing inputs. To measure firm-level efficiency, one technique that can be applied is data envelopment analysis (DEA), which was first introduced in the literature in 1957 (Farrell) for application in the public sector and then in agriculture. It was then expanded on and further developed until today, when it has become a fundamental tool for efficiency analysis in fisheries. The technique extracts information about the production process of each vessel [herein called a decision making unit (DMU)] through linear calculations used to construct a non-parametric piece-wise frontier of the data. Efficiency measures for each DMU are then calculated relative to this frontier. Each DMU’s performance measure traces out a best-practice frontier (<xref ref-type="bibr" rid="CIT08">Coelli et al. 2005</xref>), so all DMUs lie either on or below the frontier, and this is how performance, in the form of efficiency, is tracked. Technical efficiency (TE) and scale efficiency (SE) are measures of efficiency calculated using DEA. According to <xref ref-type="bibr" rid="CIT16">Farrell (1957)</xref> and <xref ref-type="bibr" rid="CIT30">Kumbhakar and Lovell (2000)</xref>, TE measures the relationship between a vessel’s inputs to the fishing process and its outputs. Full efficiency is achieved when outputs are maximized from a given set of inputs. By contrast, technical inefficiency can result from a fishing strategy with inputs, such as energy, labour or other running costs, that are too high or a fishing strategy that has excessive invested capital in relation to the potential revenue. Reasons for inefficiency have been associated with shifts in management (e.g. <xref ref-type="bibr" rid="CIT36">Pascoe et al. 2001</xref>), vessel characteristics (e.g. <xref ref-type="bibr" rid="CIT35">Pascoe and Coglan 2002</xref>) and skipper characteristics (e.g. <xref ref-type="bibr" rid="CIT50">Squires and Kirkley 1999</xref>, <xref ref-type="bibr" rid="CIT51">Tingley et al. 2005</xref>, <xref ref-type="bibr" rid="CIT53">Vázquez-Rowe and Tyedmers 2013</xref>). According to <xref ref-type="bibr" rid="CIT22">Grafton et al. (2006)</xref> SE expresses whether a firm is operating at its “optimal” size so that any modifications to its size will render the unit less efficient, and it is measured by dividing the aggregate efficiency by the TE of each DMU. In the literature, TE has been generally estimated through an output-oriented approach (e.g. <xref ref-type="bibr" rid="CIT27">Kirkley et al. 2002</xref>, <xref ref-type="bibr" rid="CIT42">Reid et al. 2003</xref>, <xref ref-type="bibr" rid="CIT54">Vestergaard et al. 2003</xref>, <xref ref-type="bibr" rid="CIT28">Kirkley et al. 2004</xref>). In the studies found in the literature, an output-orientation has been generally used to investigate the factors affecting the TE of fishing vessels under a quota system (e.g. <xref ref-type="bibr" rid="CIT51">Tingley et al. 2005</xref>). In the Mediterranean, an application of output-oriented DEA was found in <xref ref-type="bibr" rid="CIT32">Maravelias and Tsitsika (2008)</xref>, who assessed the efficiency in purse-seine fishing in the eastern Mediterranean. Another example of estimating TE by applying DEA in small-scale fisheries in the Mediterranean was provided by <xref ref-type="bibr" rid="CIT26">Idda et al. (2009)</xref>. Both of these studies used variations of output-oriented approaches. Few studies in fisheries have utilized an input-oriented approach, even in the Mediterranean where fisheries are largely managed under input control systems. However, the application of input-oriented DEA has been considered particularly meaningful for fisheries managed under an input control system (e.g. <xref ref-type="bibr" rid="CIT38">Pinello et al. 2016</xref>). </p>
			<p>Input-oriented DEA models have also been applied to estimate input-based measures of overcapacity, where overcapacity is synonymous with overcapitalization (<xref ref-type="bibr" rid="CIT58">Ward et al. 2004</xref>): usually, when fishing vessels are not technically efficient it is because they have running costs that are too high and they are operating in a state of overcapacity in the sense that a lower capacity could be used to achieve the same harvest. A fleet in a status of overcapacity is characterized by low TE and is then not properly using its input in order to produce outputs. The link between overcapacity and efficiency of fishing fleets has been investigated by <xref ref-type="bibr" rid="CIT37">Pascoe et al. (2003)</xref>, <xref ref-type="bibr" rid="CIT22">Grafton et al. (2006)</xref> and <xref ref-type="bibr" rid="CIT32">Maravelias and Tsitsika (2008)</xref>. Overcapacity has been a key issue in the EU fleets, with most of the fisheries in a status of inefficiency and in most cases heavily subsidized, as was highlighted by <xref ref-type="bibr" rid="CIT56">Villasante (2010)</xref>, <xref ref-type="bibr" rid="CIT56">Villasante and Sumaila (2010)</xref> and <xref ref-type="bibr" rid="CIT32">Maravelias and Tsitsika (2008)</xref>. In the Mediterranean Sea, the overfishing of most of the fishery resources and the overcapacity of fleet have been clearly diagnosed (<xref ref-type="bibr" rid="CIT09">Colloca et al. 2013</xref>, <xref ref-type="bibr" rid="CIT10">2017</xref>). To better balance the equilibrium between the stock status and the fleet capacity, the European Commission has adopted programmes for reducing the fleet capacity. Since 2002, this reduction programme has placed particular emphasis on monitoring fleet exit and entrances (EU 2371/2002) and supported the scrapping of fishing vessels (EU No 508/2014). This has led to a consistent decrease in the Italian fleet in terms of gross tonnage and engine power, which has particularly impacted the Mazara del Vallo fleet in Sicily. This fleet is composed of distant-water trawlers, mainly operating in the Strait of Sicily, one of the most important fishing area of the Mediterranean, with many demersal stocks—including deep-water shrimp—shared between European and third countries (<xref ref-type="bibr" rid="CIT17">Fiorentino et al. 2008</xref>, <xref ref-type="bibr" rid="CIT23">Gristina et al. 2006</xref>, <xref ref-type="bibr" rid="CIT29">Knittweiss et al. 2013</xref>). Shared stocks require a particularly effective management strategy, as their management is outside the responsibility of the individual states and consequently of the General Fisheries Commission for the Mediterranean, and the European Commission are undertaking several common actions to enforce rational management and improve utilization of these marine resources. Therefore, a broad analysis of the fleets exploiting shared stocks, including the efficiency component, is critical for effective management to be exercised. </p>
			<p>To contribute to this process, this paper aims to investigate the efficiency of the strategies employed by the Mazara del Vallo fleet: <italic>pesca a fresco</italic>, trawling mainly in shallow-water and <italic>pesca a congelato</italic>, mainly targeting deep-water shrimp. The analysis was made through an input-oriented DEA comparing TE and SE performance. Differences in efficiency were found between the different fishing strategies, and these are discussed in light of the use of LED lights, along with the implications for discard reductions. </p>
			</sec>
<sec id="S2">
<title>MATERIALS AND METHODS</title>
<sec id="S2.1">
<title>The fishing strategies</title>
			<p>The fleet of Mazara del Vallo is almost exclusively trawlers, and it is one of the largest fleets of trawlers found in one port across the Mediterranean. The large vessels, most of which are longer than 24 m LOA, particularly differentiate this fleet from the other Mediterranean fleets. This concentration of large vessels is the result of the vessels’ ability to fish in many distant grounds around the Mediterranean. They have been traditionally employed on long fishing trips (15-25 days) within both national and international waters around the Strait of Sicily and the Sardinian Channel (GSA 12-16) and the eastern Mediterranean (GSA 21-25) (<xref ref-type="fig" rid="F1">Fig. 1</xref>). The fleet operates in waters up to a depth of 800 m.</p>
						<fig id="F1">
				<label>Fig. 1</label>
				<caption>
				<title>Geographical subareas (GSAs) in the General Fisheries Council for the Mediterranean (GFCM) area. The Mazara del Vallo trawlers operate in GSAs 12 to 16 (northern Tunisia; Gulf of Hammamet; Gulf of Gabes; Malta; southern Sicily) and 21 to 25 (southern Ionian Sea; Aegean Sea; Crete; northern Levant Sea; Cyprus).</title>
				</caption>
				<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="../sm82s1-4749-web-resources/image/sm4749fig1.jpg"/>
			</fig>

<p>The fishing strategy of Mazara del Vallo trawlers can be divided into two broad categories. The first strategy, <italic>pesca a fresco </italic>(<xref ref-type="bibr" rid="CIT12">Di Stefano 1989</xref>), focuses on species caught in shallow to mid-waters (&lt;250 m), which are sold as a fresh product. The main target species are red mullets (<italic>Mullus </italic>spp.); sparids (<italic>Dentex </italic>spp.,<italic> Pagrus </italic>spp. and<italic> Pagellus </italic>spp.); cephalopods (<italic>Octopus vulgaris, Sepia officinalis, Loligo vulgaris, Illex coindetii </italic>and<italic> Eledone </italic>spp.); rays (<italic>Raja</italic> spp.); caramote prawn (<italic>Penaeus kerathurus</italic>); scorpionfish (<italic>Scorpaena </italic>spp.); monkfish<italic> (Lophius </italic>spp.); European hake (<italic>M. merluccius</italic>); and deepwater rose shrimps (<italic>Parapenaeus longirostris </italic>[DPS]). The second strategy, <italic>pesca a congelato </italic>(<xref ref-type="bibr" rid="CIT12">Di Stefano 1989</xref>), with landings sold frozen, targets different groups of species at two different depth ranges: DPS and Norway lobster at depths of 250 to 400 m and giant red shrimp (<italic>Aristaemorpha foliacea </italic>[ARS]) and blue and red shrimp (<italic>Aristeus antennatus </italic>[ARA]) at depths greater than 400 m (<xref ref-type="bibr" rid="CIT11">Dimech et al. 2012</xref>, <xref ref-type="bibr" rid="CIT29">Knittweiss et al. 2013</xref>, <xref ref-type="bibr" rid="CIT18">Fiorentino et al. 2013</xref>). Traditionally, trawlers have operated using a mix of the two fishing activities, even in the course of one day, with <italic>pesca a congelato</italic> conducted during the daytime and <italic>pesca a fresco</italic> during the night-time. </p>
			<p>Due to the EU scrapping policy and voluntary departures, the trawl fleet of vessels from Mazara del Vallo measuring 24 m and above was reduced from 137 vessels in 2004 to 85 in 2016. This corresponded to a 38% decrease in terms of number of vessels and a 35% decrease in kW (<xref ref-type="table" rid="T1">Table 1</xref>). </p>
				<table-wrap id="T1">
			<label>Table 1</label>
		<caption>
			<title>Trends in the fishing capacity of the trawl fleet ≥24 m of Mazara del Vallo. Source: MIPAAF data sourced from IREPA (2004 data) and ITAFISHSTAT (2016 data) from the official vessel register.</title>
		</caption>
		<table frame="hsides" rules="groups">
  <thead>
			      <tr>
			        <th> Year </th>
			        <th> Number of vessels </th>
			        <th> Total kW </th>
		          </tr>
		        </thead>
			    <tbody>
			      <tr>
			        <td>2004</td>
			        <td>137</td>
			        <td>59103</td>
		          </tr>
			      <tr>
			        <td>2016</td>
			        <td>85</td>
			        <td>38429</td>
		          </tr>
			      <tr>
			        <td>D%</td>
			        <td>–38%</td>
			        <td>–35%</td>
		          </tr>
		        </tbody>
		      </table>
		  </table-wrap>
<p>In the last few years, together with this capacity reduction the traditional shallow-water fisheries that had mainly targeted fish and cephalopods has progressively changed into a more deep-water, shrimp-oriented fishery. In 2004, due to decreasing landings of ARA/ARS in the Strait of Sicily (GSA 16), some trawlers began to exploit fishing grounds in the eastern basin (<xref ref-type="bibr" rid="CIT19">Garofalo et al. 2007</xref>). From 2005, the number of vessels fishing in the eastern Mediterranean (GSA 20-25) also increased as a consequence of the extension of the Libyan fishery zone to 74 miles from the coastline. In 2016, about 20 trawlers targeting ARS/ARA were operating full-time in the eastern Mediterranean. The fishing trips lasted 2-3 months and every 20-30 days the catch frozen on board was landed on Crete, Rhodes or Cyprus and then shipped to Mazara del Vallo in refrigerated trucks and marketed throughout Italy. </p>
			<p>The three shrimp species under analysis (DPS, ARS and ARA, in decreasing order of total landings) accounted for 48% of total landings for the Strait of Sicily in value in 2004 and 65% in 2016, and 37% of total landings for this area in volume in 2004 and 54% in 2016 (<xref ref-type="table" rid="T2">Table 2</xref>). The production increased in volume by 121% for ARA and by 91% for ARS, and at the same time the prices increased by 53% and 41%, respectively. Over the 13-year period, the relative proportion of the three shrimp species changed from one-half to two-thirds of the total value of the catch for the trawl fleet. The frozen shrimp were sorted by quality groups and had a higher landed value than shrimp landed fresh. The Mazara del Vallo fleet is responsible for a large portion of the landings in the Strait of Sicily, with the three shrimp species landed by trawlers from Mazara amounting to more than 70% of the total value landed in the area in 2016.</p>
				<table-wrap id="T2">
			<label>Table 2</label>
		<caption>
			<title>Species composition of the trawl fleet in the Strait of Sicily. ARA, blue and red shrimp (<italic>Aristeus antennatus</italic>); ARS, giant red shrimp (<italic>Aristaemorpha foliacea</italic>); DPS, deepwater rose shrimp (<italic>Parapenaeus longirostris</italic>). Source: MIPAAF data sourced from IREPA (2004 data) and ITAFISHSTAT (2016 data).</title>
		</caption>
		<table frame="hsides" rules="groups">
  <thead>
			      <tr>
			        <th />                    
			        <th colspan="2"> Landings weight </th>
			        <th colspan="2"> Landings value </th>
		          </tr>
			      <tr>
			        <th> Species </th>
			        <th> t </th>
			        <th> % </th>
			        <th> € (thousands) </th>
			        <th> % </th>
		          </tr>
		        </thead>
			    <tbody>
			      <tr>
			        <td>2004</td>
			        <td />                    
			        <td />                    
			        <td />                    
			        <td />                    
		          </tr>
			      <tr>
			        <td>ARA</td>
			        <td>182</td>
			        <td>1%</td>
			        <td>2669</td>
			        <td>2%</td>
		          </tr>
			      <tr>
			        <td>ARS</td>
			        <td>779</td>
			        <td>4%</td>
			        <td>12416</td>
			        <td>9%</td>
		          </tr>
			      <tr>
			        <td>DPS</td>
			        <td>6606</td>
			        <td>32%</td>
			        <td>50458</td>
			        <td>37%</td>
		          </tr>
			      <tr>
			        <td>Other</td>
			        <td>13234</td>
			        <td>64%</td>
			        <td>70610</td>
			        <td>52%</td>
		          </tr>
			      <tr>
			        <td>Total</td>
			        <td>20800</td>
			        <td>100%</td>
			        <td>136152</td>
			        <td>100%</td>
		          </tr>
			      <tr>
			        <td>2016</td>
			        <td />                    
			        <td />                    
			        <td />                    
			        <td />                    
		          </tr>
			      <tr>
			        <td>ARA</td>
			        <td>402</td>
			        <td>3%</td>
			        <td>9023</td>
			        <td>8%</td>
		          </tr>
			      <tr>
			        <td>ARS</td>
			        <td>1490</td>
			        <td>11%</td>
			        <td>33406</td>
			        <td>29%</td>
		          </tr>
			      <tr>
			        <td>DPS</td>
			        <td>5293</td>
			        <td>40%</td>
			        <td>32241</td>
			        <td>28%</td>
		          </tr>
			      <tr>
			        <td>Other</td>
			        <td>6169</td>
			        <td>46%</td>
			        <td>39481</td>
			        <td>35%</td>
		          </tr>
			      <tr>
			        <td>Total</td>
			        <td>13355</td>
			        <td>100%</td>
			        <td>114150</td>
			        <td>100%</td>
		          </tr>
		        </tbody>
		      </table>
		  </table-wrap>
</sec>
<sec id="S2.2">
<title>Measuring technical efficiency and scale efficiency using data envelopment analysis</title>
			<p>This study follows an input-oriented approach to analyse the TE and SE of demersal trawlers in Mazara del Vallo, where vessels may practice <italic>pesca a fresco </italic>and <italic>pesca a congelato</italic> strategies to different extents, depending on the vessel. As the managerial scheme in place is mainly input-based, and the two fishing strategies have different input utilization levels and therefore cost structures, the input-oriented DEA was deemed to be the most appropriate orientation to use. The DEA method was applied following two approaches: the approach developed by <xref ref-type="bibr" rid="CIT06">Charnes et al. (1978)</xref>, in which TE is estimated under the assumption of constant returns to scale (CRS), and that suggested by <xref ref-type="bibr" rid="CIT01">Banker et al. (1984)</xref>, in which the method was extended to include the cases of variable returns to scale (VRS). </p>
			<p>Under CRS, vessels are assumed to operate at an optimal scale. This would mean, for instance, that a doubling of input would result in a doubling of output (<xref ref-type="bibr" rid="CIT07">Coelli et al. 2002</xref>). This is a rare occurrence in fisheries, where decreasing returns to scale are generally observed (<xref ref-type="bibr" rid="CIT01">Banker et al. 1984</xref>), owing to several factors including imperfect competition and financial limitations (<xref ref-type="bibr" rid="CIT07">Coelli et al. 2002</xref>). When returns to scale are not constant, the efficiency scores resulting under the CRS assumption are confounded by scale efficiencies. The VRS extension suggested by <xref ref-type="bibr" rid="CIT01">Banker et al. (1984)</xref> clearly allows for greater flexibility in the model. According to the scale of operation, VRS can be further distinguished into increasing returns to scale (IRS) and decreasing returns to scale (DRS). However, the CRS assumption is also applied in this study because comparing results under the two assumptions allows for an estimation of SE. </p>
			<p>Considering N DMUs and, for each DMU, a vector of M outputs <italic>y</italic><italic>i</italic> and a vector of K inputs <italic>x</italic><italic><sub>i</sub></italic>, under the CRS assumption, the TE for each DMU j is obtained by solving the following linear programming model:</p>
			<table-wrap>
		<table frame="hsides" rules="groups">
			  <tr>
			    <td width="95%"><p align="center"><italic>&#9;min</italic><sub>θ,λ</sub>θ<br />
			<italic>&#9;st</italic> – <italic>y</italic><italic>i</italic> + <italic>Y</italic>λ ≥ 0,<br />
			&#9;θ<italic>x</italic><italic>i</italic> – <italic>Y</italic>λ ≥ 0,<br />
		  &#9;λ ≥ 0</p></td>
			    <td width="5%">(1)</td>
		      </tr>
		  </table>
		  </table-wrap>
			<p>where the M×N output matrix, Y, and the K×N input matrix, X, contain the data of all N DMUs. The model is solved for each DMU in θ and λ, where q is a scalar measure of the efficiency score of the DMU and λ is an N×1 vector of weighting factors. A value of 1 for θ indicates a point on the frontier and hence a technically efficient DMU. Values lower than 1 indicate technical inefficiency; the level of relative inefficiency is measured by 1– θ. </p>
			<p>To account for VRS, the model formulation was modified by adding the constraint <italic>NI</italic>′λ = 1</p>
<table-wrap>
		<table frame="hsides" rules="groups">
					  <tr>
			    <td width="95%"><p align="center"><italic>min</italic><sub>θ,λ</sub>θ<br />
                    <italic>&#9;st</italic> – <italic>y</italic><sub>i</sub> + <italic>Y</italic>λ ≥ 0,<br />
&#9;θ<italic>x</italic><italic>i</italic> – <italic>Y</italic>λ ≥ 0, <br />
&#9;λ ≥ 0 <br />
<italic>&#9;NI</italic>′λ = 1</p></td>
			    <td width="5%">(2)</td>
		      </tr>
		  </table>
		  </table-wrap>
			<p>where <italic>NI</italic> is an <italic>N</italic>×1 vector of ones. The additional constraint allows for an estimation of efficiency scores without the effects of SE by making a comparison only between vessels of similar scale to one another. As data points are enveloped more tightly than under CRS and in a convex way, VRS efficiency scores will be greater than or equal to those estimated under CRS. The SE score is calculated as the ratio of TE score under CRS to TE score under VRS upon the same data.</p>
			<p>Based on the approach proposed by <xref ref-type="bibr" rid="CIT16">Farrell (1957)</xref>, inputs and outputs in Equations 1 and 2 should be expressed in physical quantities. However, as quantities are not always available, the use of values rather than quantities has become very common in the empirical studies on efficiency (e.g. <xref ref-type="bibr" rid="CIT31">Lindebo et al. 2007</xref>). In this study, we used values for both inputs and outputs. Following the approach suggested in <xref ref-type="bibr" rid="CIT38">Pinello et al. (2016)</xref>, four variables are used as input in the DEA model: annual personnel cost, fuel cost, running cost and repair and maintenance cost. The output is the annual revenues of the vessels. </p>
			<p>As suggested by <xref ref-type="bibr" rid="CIT15">Färe et al. (1990)</xref> and <xref ref-type="bibr" rid="CIT02">Banker et al. (2007)</xref>, when prices are equal across DMUs, TE can be estimated by using values rather than quantities. <xref ref-type="bibr" rid="CIT40">Portela (2014)</xref> proved this equivalence and extended it to the case where input costs (or revenues) are aggregated into a single input. On the other hand, when prices are not equal across DMUs, TE can be incorrectly estimated. Under a profit maximization assumption, fishing strategies can be affected by the expected prices, the level of technology and the resource abundance (<xref ref-type="bibr" rid="CIT49">Squires 1987</xref>, <xref ref-type="bibr" rid="CIT46">Sharma and Leung 1998</xref>). The effects of different prices on the fishing strategies and therefore on the output level could erroneously be interpreted as variations in TE. However, as noted by <xref ref-type="bibr" rid="CIT38">Pinello et al. (2016)</xref>, “the ability of fishers to respond to changes in relative prices by varying their fishing activity is limited”. Changing the fishing gear at sea is generally not feasible and doing it on shore is quite time consuming. Furthermore, as suggested in <xref ref-type="bibr" rid="CIT25">Holland and Sutinen (2000)</xref>, fishing activity is very dependent on habit and only limited variations are applied because of a change in prices. Therefore, the potential biases due to the use of values rather than quantities are not likely to be significant.</p>
<sec id="S2.2.1">
<title>Correlation with shrimp composition of the catch</title>
			<p>The TE scores estimated for each demersal trawler under the VRS specification were associated with the weight of the shrimp (DPS, ARA and ARS) in the landing composition. The percentage of shrimp landings out of the total landings weight was used as a proxy for the time spent conducting mid- and deep-water trawling operations. A correlation was tested between the presence of the deep-water shrimp species and the TE score. A positive correlation would indicate that <italic>pesca a congelato</italic>, targeting deep-water shrimps in the mid- and deep-water trawling, is more efficient than <italic>pesca a fresco</italic>, targeting other species in shallow water. The analysis was performed using a Spearman correlation.</p>
			</sec>
			</sec>
<sec id="S2.3">
<title>Data sources</title>
			<p>The analysis was based on data collected under the Italian National Programme, as well as through a focus group discussion with the trawler skippers, providing supplementary information to be integrated with the official data. Landings were compiled on an annual basis and the breakdown had to be based on the annual landings composition as the data were only available at this level of disaggregation. Vessels conducted two types of fishing strategy: <italic>pesca a congelato </italic>and <italic>pesca a fresco </italic>and some vessels adopted a mix of the two strategies. To best represent the two strategies plus the mixed strategies, three categories were created:<italic> pesca a congelato</italic>, in which the sum of deep-water shrimp (DPS, ARA and ARS) landings represented more than 80% of the annual revenue; <italic>pesca a fresco</italic>, in which deep-water shrimp represented less than 60% of the annual revenue; and the ‘mixed strategy’, in which the percentage of deep-water shrimp fell by 60% to 80% of the total value.</p>
			<p>Primary economic data from a sample of 56 vessels, making up more than 50% of the fleet segment, were used. Data used in the analysis were collected on an annual basis through a multivariate sample survey, as described in the Italian National Programme for Data Collection (<xref ref-type="bibr" rid="CIT34">MIPAAF 2010</xref>). The data used herein were from 2004 and 2016 to compare the oldest available data with the most recent data. The core components of the survey (target population, stratification criteria and definition of variables) were prescribed by the EU Data Collection Framework (<xref ref-type="bibr" rid="CIT14">EU Commission 2017</xref>).</p>
			<p>The sample unit was a single vessel selected from the vessel register. The sampling was conducted in a stratified manner so that the fishing vessels of the fleet were divided into homogenous groups based on the primary fishing technique, vessel length class and the geographical area of activity. The basic economic data were collected through a structured socio-economic questionnaire. The questionnaire included more than 70 micro-variables which allowed the variables used in the analysis to be estimated. Following the data collection, all the data were subjected to validation and control procedures. </p>
			<p>The variables used for the DEA analysis consisted of four inputs, namely (i) personnel, (ii) fuel, (iii) running and (iv) repair and maintenance costs. The output was the annual revenues of the vessels (see <xref ref-type="table" rid="T3">Table 3</xref>). </p>
				<table-wrap id="T3">
			<label>Table 3</label>
		<caption>
			<title>Descriptive statistics of the input and output variables used in the data envelopment analysis (DEA), n=56 (total population, N=85) (2016 data). The cost and revenue variables are presented for the three fishing strategies as mean values with the associated standard deviations. Source: MIPAAF data sourced from ITAFISHSTAT. Contribution of deep-water shrimp to annual revenue: *&gt;80%; **&lt;60%; ***60%-80%.</title>
		</caption>
		<table frame="hsides" rules="groups">
  <thead>
			      <tr>
			        <th rowspan="2" />                    
			        <th colspan="2"> <italic>Pesca a congelato*</italic> </th>
			        <th colspan="2"> Mixed-strategy*** </th>
			        <th colspan="2"> <italic>Pesca a fresco**</italic> </th>
		          </tr>
			      <tr>
			        <th> Mean value (€) </th>
			        <th> sd </th>
			        <th> Mean value (€) </th>
			        <th> sd </th>
			        <th> Mean value (€) </th>
			        <th> sd </th>
		          </tr>
		        </thead>
			    <tbody>
			      <tr>
			        <td align="left">Input variables</td>
			        <td colspan="6" />                    
		          </tr>
			      <tr>
			        <td>Personnel cost</td>
			        <td>215667</td>
			        <td>182929</td>
			        <td>158559</td>
			        <td>70985</td>
			        <td>140223</td>
			        <td>57424</td>
		          </tr>
			      <tr>
			        <td>Fuel cost</td>
			        <td>123800</td>
			        <td>32732</td>
			        <td>115485</td>
			        <td>40801</td>
			        <td>107147</td>
			        <td>29026</td>
		          </tr>
			      <tr>
			        <td>Running cost</td>
			        <td>51078</td>
			        <td>26902</td>
			        <td>37067</td>
			        <td>38712</td>
			        <td>49127</td>
			        <td>35221</td>
		          </tr>
			      <tr>
			        <td>Repair and maintenance cost</td>
			        <td>45561</td>
			        <td>38400</td>
			        <td>55136</td>
			        <td>23862</td>
			        <td>59905</td>
			        <td>34352</td>
		          </tr>
			      <tr>
			        <td align="left">Output variables</td>
			        <td colspan="6" />                    
		          </tr>
			      <tr>
			        <td>Revenues</td>
			        <td>619837</td>
			        <td>404313</td>
			        <td>449599</td>
			        <td>185619</td>
			        <td>378036</td>
			        <td>181870</td>
		          </tr>
		        </tbody>
		      </table>
		  </table-wrap>
<p>Personnel costs refer to the compensation, in the form of pay, of all crew members, including the owner. The crew are paid on a share basis, which means that the greater the value of the catch landed, the more money each crew member gets as a share of the total. The share is usually calculated as a percentage of revenue, or revenue minus certain categories of cost. A minimum monthly salary is set through a national sector-specific contract (<italic>Contratto Collettivo Nazionale, </italic>CCN), which includes social security and pension contributions. The crew share is calculated at the end of each fishing trip, and if the amount is less than the minimum monthly salary, then the CCN rate is paid. </p>
			<p>Fuel costs refer to the total cost of the fuel consumed by all onboard vessel equipment (main engine, secondary engine, generators and machinery used on board). The running costs are all the purchased consumable inputs related directly or indirectly to fishing effort. Included are the inputs consumed within a fishing trip (e.g. food, lights and batteries for the lights) and the costs related to the sales of the products (e.g. ice and boxes). Repair and maintenance costs refer to both routine and extraordinary costs for the maintenance and repair of the vessel and gears.</p>
<sec id="S2.3.1">
<title>Data collected by the focus group</title>
			<p>Further data were collected during a focus group discussion conducted with the skippers of 23 vessels in the Mazara del Vallo trawl fleet in January 2017. The participants were selected as a sub-group of the total sample included in the case study of this work. Detailed information on the fishing strategies, employment on board, age of crew, literacy level and technical improvement in fishing nets for increasing fishing efficiency was investigated by the interviewers. Skippers were asked about the use of LED lights on the nets during trawling. Specifically, they were asked about the first year that the lights were used; the preferred light colour; and the number of lights attached per net, including their colour preference for the lights, which were ranked in order of preference. Furthermore, the skippers’ perception of discard levels between the fishing strategies and the main problems encountered in the management of the activity were investigated. </p>
			</sec>
			</sec>
			</sec>
<sec id="S3">
<title>RESULTS</title>
			<p>Differences in fishing grounds of shallow and deep-water trawling were reflected in the differences in the crew size of the vessels as well as in the activity costs and the market modality. The <italic>pesca a fresco</italic> trawling was more labour-intensive (on average 8-9 crew per vessel) than the <italic>pesca a congelato</italic> (on average 6-7 crew per vessel). The <italic>pesca a fresco</italic> trawls had an average tow duration of approximately two hours with a tow speed of 3-4 knots, while the <italic>pesca a congelato </italic>had an average tow duration of four to five hours with a tow speed of 2-3 knots and a slower engine speed. These factors result in lower fuel consumption. Different crew sizes for the two strategies did not result in significant increases in personnel costs because under the crew-share system the proportion of revenues assigned to the crew-share is a ﬁxed ratio, no matter the number of crew members (<xref ref-type="bibr" rid="CIT20">Gee et al. 2017</xref>, <xref ref-type="bibr" rid="CIT39">Pinello et al. 2017</xref>).</p>
			<p>During a trawl operation, one of the most labour-intensive components is the process of sorting the commercial catch from the discards. The reduced labour required for this activity with the <italic>pesca a congelato</italic> strategy is shown by the lower number of crew members required on these vessels and by evidence in the literature (e.g. <xref ref-type="bibr" rid="CIT33">Milisenda et al. 2017</xref>). </p>
			<p>In <xref ref-type="table" rid="T4">Table 4</xref> the main findings of the focus group discussion are reported. The discussion focused on eight main points, including the social component, the fishing activity and the use of the LED lights. Of the 23 individuals interviewed, more than 80% were owners who worked onboard their vessels as the skipper. Although demographic information such as age and educational levels were collected, no specific pattern related to this information was identified, so it was not reported here. When the focus group members were queried on the main problems related to the fishing activity, the majority of respondents highlighted the shortage of specialized crew, in particular skippers and engineers, and the need for more technological innovation aimed at further reducing discards and increasing the quality of the landings.</p>
				<table-wrap id="T4">
			<label>Table 4</label>
		<caption>
			<title>Use of LED lights as collected in the focus group discussion.</title>
		</caption>
		<table frame="hsides" rules="groups">
  <thead>
			      <tr>
			        <th />                    
			        <th> Fishing depth </th>
			        <th> Duration of the tow </th>
			        <th> Crew size </th>
			        <th> Use of lights </th>
			        <th> Year of first use </th>
			        <th> Colour preference </th>
			        <th> Number of lights per net </th>
			        <th> Main problems reported </th>
		          </tr>
		        </thead>
			    <tbody>
			      <tr>
			        <td><italic>Pesca a fresco</italic></td>
			        <td>&lt;250 m</td>
			        <td>2-3</td>
			        <td>8-9</td>
			        <td>no</td>
			        <td>n/a</td>
			        <td>n/a</td>
			        <td>n/a</td>
			        <td rowspan="3">Shortage of specialized crew;
			          need for technological innovations</td>
		          </tr>
			      <tr>
			        <td rowspan="2"><italic>Pesca a congelato</italic></td>
			        <td>250-400 m</td>
			        <td rowspan="2">4-5</td>
			        <td rowspan="2">6-7</td>
			        <td rowspan="2">yes</td>
			        <td rowspan="2">2013</td>
			        <td rowspan="2">white&gt; green&gt; blue</td>
			        <td rowspan="2">100-200</td>
		          </tr>
			      <tr>
			        <td>&gt;400 m</td>
		          </tr>
		        </tbody>
		      </table>
		  </table-wrap>
<p>The <italic>pesca a congelato</italic> strategy showed the highest average levels of efficiency, with a TE of 0.96 and an SE of 0.99 (<xref ref-type="table" rid="T5">Table 5</xref>). In terms of TE, all of the <italic>pesca a congelato</italic> vessels were very close to the frontier and they were working at nearly the maximum level of efficiency. In fact, 15 vessels were found to be on the frontier of efficiency. The very high SE score highlighted that the vessels were operating close to the optimal scale of production. On average, only one percent of inefficiency can be attributed to the scale size. CRS were detected for 2 vessels, while the remaining 30 vessels were equally distributed between those operating at IRS and those operating at DRS.</p>
	<table-wrap id="T5">
			<label>Table 5</label>
		<caption>
			<title>Descriptive statistics of technical efﬁciency (TE), scale efﬁciency (SE) and scale of operation for <italic>pesca a congelato </italic>(&gt;80%). N=32. IRS, increasing returns to scale; CRS, constant returns to scale; DRS, decreasing returns to scale.</title>
		</caption>
		<table frame="hsides" rules="groups">
  <thead>
      <tr>
        <th> Variable </th>
        <th> Mean </th>
        <th> sd </th>
        <th> CV </th>
        <th> Min. </th>
        <th> Max. </th>
      </tr>
    </thead>
    <tbody>
      <tr>
        <td>TE</td>
        <td>0.96</td>
        <td>0.06</td>
        <td>6.0%</td>
        <td>0.81</td>
        <td>1.0</td>
      </tr>
      <tr>
        <td>SE</td>
        <td>0.99</td>
        <td>0.02</td>
        <td>2.1%</td>
        <td>0.93</td>
        <td>1.0</td>
      </tr>
      <tr>
        <th colspan="3"> Scale of operation </th>
        <th colspan="3"> DMUs </th>
      </tr>
      <tr>
        <td colspan="3">IRS</td>
        <td colspan="3">15 vessels (47%)</td>
      </tr>
      <tr>
        <td colspan="3">CRS</td>
        <td colspan="3">2 vessels (6%)</td>
      </tr>
      <tr>
        <td colspan="3">DRS</td>
        <td colspan="3">15 vessels (47%)</td>
      </tr>
    </tbody>
  </table>
</table-wrap>
<p>On average, the <italic>mixed strategy</italic> fell between the two other strategies, as measured by TE and SE (<xref ref-type="table" rid="T6">Table 6</xref>). The vessels following the mixed strategy had a TE level equal to 0.91 and there was only one vessel on the frontier, while the SE was 0.97. Three vessels were operating at CRS, while the other thirteen vessels were at IRS. </p>
	<table-wrap id="T6">
			<label>Table 6</label>
		<caption>
			<title>Descriptive statistics of technical efﬁciency (TE), scale efﬁciency (SE) and scale of operation for the mixed strategy (60%-80%). N=16. IRS, increasing returns to scale; CRS, constant returns to scale; DRS, decreasing returns to scale.</title>
		</caption>
		<table frame="hsides" rules="groups">
  <thead>
      <tr>
        <th> Variable </th>
        <th> Mean </th>
        <th> sd </th>
        <th> CV </th>
        <th> Min. </th>
        <th> Max. </th>
      </tr>
    </thead>
    <tbody>
      <tr>
        <td>TE</td>
        <td>0.91</td>
        <td>0.08</td>
        <td>9.2%</td>
        <td>0.70</td>
        <td>1.0</td>
      </tr>
      <tr>
        <td>SE</td>
        <td>0.97</td>
        <td>0.04</td>
        <td>4.5%</td>
        <td>0.86</td>
        <td>1.0</td>
      </tr>
      <tr>
        <th colspan="3"> Scale of operation </th>
        <th colspan="3"> DMUs </th>
      </tr>
      <tr>
        <td colspan="3">IRS</td>
        <td colspan="3">13 vessels (81%)</td>
      </tr>
      <tr>
        <td colspan="3">CRS</td>
        <td colspan="3">3 vessels (19%)</td>
      </tr>
      <tr>
        <td colspan="3">DRS</td>
        <td colspan="3">0 vessels</td>
      </tr>
    </tbody>
  </table>
</table-wrap>
<p>On average, the <italic>pesca a fresco</italic> was the less efficient fishing strategy, as measured by TE (<xref ref-type="table" rid="T7">Table 7</xref>). The vessels following this strategy had the lowest TE level, equal to 0.74, and could therefore proportionally decrease their inputs by 36% and still produce the same amount of output. No vessels were on the frontier for the TE, while the SE was 0.97. IRS was found for seven vessels, while the optimal scale was detected for one vessel. </p>
	<table-wrap id="T7">
			<label>Table 7</label>
		<caption>
			<title>Descriptive statistics of technical efﬁciency (TE), scale efﬁciency (SE) and scale of operation for <italic>pesca a fresco</italic> (&lt;60%). N=8. IRS, increasing returns to scale; CRS, constant returns to scale; DRS, decreasing returns to scale.</title>
		</caption>
		<table frame="hsides" rules="groups">
  <thead>
      <tr>
        <th> Variable </th>
        <th> Mean </th>
        <th> sd </th>
        <th> CV </th>
        <th> Min. </th>
        <th> Max. </th>
      </tr>
    </thead>
    <tbody>
      <tr>
        <td> TE </td>
        <td> 0.74 </td>
        <td> 0.18 </td>
        <td> 24.1% </td>
        <td> 0.39 </td>
        <td> 0.90 </td>
      </tr>
      <tr>
        <td> SE </td>
        <td> 0.97 </td>
        <td> 0.05 </td>
        <td> 4.8% </td>
        <td> 0.86 </td>
        <td> 1.0 </td>
      </tr>
      <tr>
        <th colspan="3"> Scale of operation </th>
        <th colspan="3"> DMUs </th>
      </tr>
      <tr>
        <td colspan="3"> IRS </td>
        <td colspan="3"> 7 vessels (88%) </td>
      </tr>
      <tr>
        <td colspan="3"> CRS </td>
        <td colspan="3"> 1 vessels (12%) </td>
      </tr>
      <tr>
        <td colspan="3"> DRS </td>
        <td colspan="3"> 0 vessels </td>
      </tr>
    </tbody>
  </table>
</table-wrap>
<p>There is an evident positive correlation between the occurrence of shrimp in the landings and the higher efficiency scores found for the three categories of vessels (<xref ref-type="table" rid="T8">Table 8</xref>). The higher the presence of shrimp in the landings, the higher the TE for the trawlers. The <italic>pesca a congelato</italic> showed the highest TE performance, with the greatest number of vessels on the frontier of efficiency while the <italic>pesca a fresco </italic>showed the lowest TE performance, with no vessels on the frontier of efficiency. The mixed-strategy vessels had a TE performance that was a mix of the two other categories and accordingly had no vessels on the frontier. The range of TE scores for the three categories corroborated the correlation between shrimp in landings and efficiency.</p>
	<table-wrap id="T8">
			<label>Table 8</label>
		<caption>
			<title>Spearman correlations of technical efﬁciency (TE) and scale efﬁciency (SE) scores of the three strategies with presence of crustaceans in the landings. ** 0.05 level of signiﬁcance.</title>
		</caption>
		<table frame="hsides" rules="groups">
  <thead>
      <tr>
        <th />        
        <th> TE </th>
        <th> SE </th>
      </tr>
    </thead>
    <tbody>
      <tr>
        <td>Entire fleet</td>
        <td>0.70**</td>
        <td>0.31**</td>
      </tr>
    </tbody>
  </table>
</table-wrap>
<p>According to the focus group discussion, the fleet targeting shrimp started equipping their nets with LED lights in 2013. The fishers reported that the lights attract mainly ARA/ARS and DPS, therefore increasing the catchability of the gear, and seemed to be particularly effective at night. Although the effectiveness of the lights during daylight hours is probably lower because the shrimp would already be near the bottom, the fishers usually prefer to leave the lights operating. The preferred colours are white, green and blue, in that order, and the choice depends mostly on experiences gathered by fishers. In general, the trawl nets are equipped with about 100 flashing lights installed in groups of ten spaced two or three metres from each other. The LED lights are attached to the headrope of the net and to the bridles. They cost about €3 to €5 each, and to be kept constantly in operation they require two new batteries every 15 days, which cost about €0.15 each. The annual cost for the lights is therefore about €300 to €500 per net, while their maintenance costs are about €20 to €30 per fishing trip (20 days). Under the <italic>pesca a fresco</italic> strategy, the main targets were bony fish and cephalopods, which were landed fresh because the fishing trips lasted three days or less, with each tow lasting two hours or less. The short duration of the tow was an intentional strategy to reduce the total amount of catch in the cod end. Catches of unwanted species were a matter of concern to the fishers on two operational fronts. First, too high a quantity of catch in the codend increases the mechanical damage, which reduces the product quality; second, the sorting of the catch on the deck takes longer with higher quantities of non-targeted species. The vessels mainly operating under the a <italic>pesca a fresco</italic> strategy employed 8 to 9 fishers as a result of the increased workload due to more tows per fishing day and increased quantities of catch (landings plus discards) to handle. The <italic>pesca a congelato</italic> strategies targeting DPS (250-400 m) and ARA and ARS (&gt;400 m) had fishing trips that lasted between one week and 20 days, and the catch was landed frozen. The tow lasted more than four hours at lower speeds as the lower amount of biomass allowed for a greater duration. The crews were smaller, with an average of 6 to 7 fishers because the smaller number of daily tows and the lower catch quantities reduce the required effort, while the lower speeds reduce the fuel consumption. The entry costs of using LED lights in the <italic>pesca a congelato</italic> strategy was so low (&lt;1% of the overall turnover) that the entire fleet has started to use them, and no correlation could be found with age of the skippers/owners who participated in the focus group discussions. Even fishers who were not convinced of the effectiveness of using the lights used them, just in case. Further, the fishers reported that they did not believe that the use of the lights during the daytime was effective, but the maintenance costs were so low and there did not seem to be any negative consequences of using the lights during daytime fishing, so the fishers left the lights on for all fishing activity. The use of lights has become a structural component of the gear, and it has become the latest technological innovation for this fleet. </p>
			</sec>
<sec id="S4">
<title>DISCUSSION</title>
			<p>Between the two main strategies followed by the Mazara del Vallo trawl fleet, <italic>pesca a congelato</italic> (at depths &gt;250 m) showed higher TE and SE scores than <italic>pesca a fresco</italic> (at depths &lt;250 m). Considering these positive efficiency performances, it would appear that the negative effects of overcapacity are not evident for the portion of the fleet which targets deep-water shrimp. Further, from the perspective of the DEA analysis, it would appear that the <italic>pesca a congelato</italic> fleet is close to a point of equilibrium, with a good balance between costs and revenue. Over the years, an increased use of LED lights has been found in the <italic>pesca a congelato</italic> fleet.</p>
			<p>According to the fishers, the adoption of the use of LED lights has increased the catchability of the gear towards the deep-water shrimp, in particular during the night-time. For this reason, the use of lights extended the potential fishing time, and this allowed the fishing activity to become more specialized while further increasing its productivity rate. The adoption of the lights for the Mazara del Vallo fleet was done without any scientific inputs—the fishers adopted and spread this technological improvement within their own community. It has now spread across the entire fleet and has become a structural element of the fishery operations.</p>
			<p>Further to the focus group discussion, it is well established that during the day shrimp feed mainly on detritus on the bottom while at night they migrate off the seafloor to predate on zooplankton (<xref ref-type="bibr" rid="CIT47">Shumway et al. 1985</xref>, <xref ref-type="bibr" rid="CIT48">Sobrino et al. 2005</xref>, <xref ref-type="bibr" rid="CIT45">Savenkoff et al. 2006</xref>). Light could lead shrimp to swim towards it, or, additionally, attract shrimp searching for prey towards the bottom, favouring their capture in the fishing gear.</p>
			<p>Regarding the discard production, the focus group reported that there were reduced levels of discards in the <italic>pesca a congelato</italic> strategy, and this was further corroborated by the longer tow duration and lower crew sizes required for sorting the commercial catch from the discards (<xref ref-type="table" rid="T4">Table 4</xref>). This reporting was supported by findings in the literature, in which deep-water fishing resulted in lower discard levels. The available literature from the Mediterranean suggested that trawlers targeting deep-water crustaceans produced fewer discards than shallow-water trawlers. An average overall discard rate for bottom trawlers in the Strait of Sicily during the early 2000s was reported by <xref ref-type="bibr" rid="CIT57">Vitale et al. (2006)</xref> to be 52%. For the shrimp fisheries of the Strait of Sicily, <xref ref-type="bibr" rid="CIT05">Castriota et al. (2001)</xref> reported a mean discarded biomass value of 49% of the total catches, similar to the discard ratio produced by other shrimp trawls in the Mediterranean Sea (43.2%±27.2%), but higher than mean values reported for other Mediterranean trawl fisheries (32.9%±2.8%) (<xref ref-type="bibr" rid="CIT52">Tsagarakis et al. 2013</xref>). More recently, <xref ref-type="bibr" rid="CIT33">Milisenda et al. (2017)</xref> analysed catches of bottom trawlers targeting deep-water rose shrimp (DPS) in the Strait of Sicily over the period 2009 to 2013, and reported a mean discard rate of 36% of the total catch. Finally, information reported in the review of <xref ref-type="bibr" rid="CIT52">Tsagarakis et al. (2013)</xref> suggested that there is a clear gradient of decreasing discard levels with increasing depths of fishing grounds and that deep-water (&gt;400 m) trawling targeting shrimp generates fewer discards than shallow trawling that targets mid-water depths (<xref ref-type="table" rid="T9">Table 9</xref>). </p>
				<table-wrap id="T9">
			<label>Table 9</label>
		<caption>
			<title>Reported ranges of discards by depth category.</title>
		</caption>
		<table frame="hsides" rules="groups">
  <thead>
			      <tr>
			        <th> Fishing depth
			          
		            </th>
			        <th> Reported range of discard (%)
			          
		            </th>
			        <th> References
			          
		            </th>
		          </tr>
		        </thead>
			    <tbody>
			      <tr>
			        <td>&lt;250 m
			          </td>
			        <td> 43.2-90.4
			          </td>
			        <td> <xref ref-type="bibr" rid="CIT44">Sánchez et al. 2007</xref>, <xref ref-type="bibr" rid="CIT43">Sánchez et al. 2004</xref>, <xref ref-type="bibr" rid="CIT04">Carbonell et al. 2003</xref>, <xref ref-type="bibr" rid="CIT41">Pranovi et al. 2001</xref></td>
		          </tr>
			      <tr>
			        <td> 250-400 m
			          </td>
			        <td> 45.3-49
			          </td>
			        <td> <xref ref-type="bibr" rid="CIT04">Carbonell et al. 2003</xref>, <xref ref-type="bibr" rid="CIT05">Castriota et al. 2001</xref></td>
		          </tr>
			      <tr>
			        <td>&gt;400 m
			          </td>
			        <td> 20-34
			          </td>
			        <td> <xref ref-type="bibr" rid="CIT21">Gorelli et al. 2016</xref>, <xref ref-type="bibr" rid="CIT13">D’Onghia et al. 2003</xref></td>
		          </tr>
		        </tbody>
		      </table>
		  </table-wrap>
<p>The combination of these factors and the shortage of specialized crew has also had some influence on the shift of activities from the <italic>pesca a fresco</italic> towards the <italic>pesca a congelato</italic> strategy. The change of fishing strategy occurring in distant trawlers could have had a positive effect on discards. According to <xref ref-type="bibr" rid="CIT24">Gristina et al. (2013)</xref>, the amount of immature individuals routinely discarded in demersal assemblages exploited by trawlers in the Strait of Sicily amounted to more than 60% at depths of less than 200 m and less than 30% at depths between 200 and 800 m. Moving from shallow-water fisheries targeting fish and cephalopods to deep-water fisheries targeting crustaceans could be a good strategy for more sustainable trawling in the Mediterranean. </p>
			<p>In summary, a clear correlation was found between the occurrence of shrimp in the landings and the higher efficiency scores of vessels with the <italic>pesca a congelato</italic> strategy. The lower levels of discards caught through <italic>pesca a congelato</italic> than <italic>pesca a fresco</italic> and the higher catchability of the gear through the regular utilization of lights can be considered further important points of reflection for the management of shared stocks exploited by trawling in the Mediterranean. Under an effective management framework, the evolution from classical multispecies fisheries targeting the shelf bottoms to a fishery targeting deep-water crustaceans on the slope could shift trawling in other Mediterranean fleets towards a more sustainable pattern from both an economic and from an ecological point of view.  </p>
			</sec>
			</body>
			<back>
<ack>
<title>ACKNOWLEDGEMENTS</title>
			<p>Dario Pinello, Paolo Accadia, Evelina Carmen Sabatella, Sergio Vitale and Fabio Fiorentino have received funding from the European Commission Horizon 2020 Research and Innovation Programme under Grant Agreement No. 634495 for the project Science, Technology, and Society Initiative to Minimize Unwanted Catches in European Fisheries (MINOUW). This publication reflects the views of the authors only and none of the funding parties can be held responsible for any use that may be made of the information contained herein.</p>
			</ack>
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