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<article article-type="research-article" dtd-version="1.1" xml:lang="en" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">

	<front>
		<journal-meta>
			<journal-id journal-id-type="publisher-id">SJAR</journal-id>
			<journal-title-group>
				<journal-title>Spanish Journal of Agricultural Research</journal-title>
				<abbrev-journal-title>Span J Agric Res</abbrev-journal-title>
			</journal-title-group>
			<issn pub-type="epub">2171-9292</issn>
			<publisher>
				<publisher-name>Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA)</publisher-name>
			</publisher>
		</journal-meta>
		<article-meta>
			<article-id pub-id-type="publisher-id">19510</article-id>
			<article-id pub-id-type="doi">10.5424/sjar/2023211-19510</article-id>
			<article-categories>
				<subj-group subj-group-type="heading">
					<subject>RESEARCH ARTICLE</subject>
				</subj-group>
			</article-categories>

			<title-group>
				<article-title>Sustainability labels in the Spanish coffee market: A hedonic price approach</article-title>
			</title-group>

			<contrib-group>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-3320-2496</contrib-id>
					<name>
						<surname>Merbah</surname>
						<given-names>Nesrine</given-names>
					</name>
					<aff id="aff1"><institution>Universidad Politécnica de Madrid. E.T.S. de Ingenieria Agronomica, Alimentaria y de Biosistemas.</institution><addr-line>28040 Madrid,</addr-line><country>Spain.</country></aff>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-7422-3897</contrib-id>
					<name>
						<surname>Benito-Hernández</surname>
						<given-names>Sonia</given-names>
					</name>
					<aff id="aff1"><institution>Universidad Politécnica de Madrid. Department of Agrarian Economics, Statistics and Business Management,</institution><addr-line>28040 Madrid,</addr-line><country>Spain.</country></aff>
				</contrib>				
			</contrib-group>

			<pub-date pub-type="epub">
				<day>09</day>
				<month>02</month>
				<year>2023</year>
			</pub-date>			
			<pub-date pub-type="collection">
				<month>03</month>
				<year>2023</year>
			</pub-date>
			<volume>21</volume>
			<issue>1</issue>
			<elocation-id>e0102</elocation-id>
			<history>
				<date date-type="received">
					<day>25</day>
					<month>04</month>
					<year>2022</year>
				</date>
				<date date-type="accepted">
					<day>08</day>
					<month>02</month>
					<year>2023</year>
				</date>
				<date date-type="pub">
					<day>09</day>
					<month>02</month>
					<year>2023</year>
				</date>
			</history>			
			<permissions>
				<copyright-statement>&#xa9;2023 CSIC</copyright-statement>
				<copyright-year>2023</copyright-year>
				<license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/">
					<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>
			<self-uri xlink:href="https://doi.org/10.5424/sjar/2023211-19510"/>
			<abstract>
				<title>Aim of study:</title>
				<p>Focused on the coffee sector, the purpose of this paper was to determine the implicit price paid for the main sustainability certifications (Fairtrade, Organic, Rainforest Alliance and UTZ certifications) using the hedonic price approach.</p>
				<title>Area of study:</title>
				<p>Spain.</p>
				<title>Material and methods:</title>
				<p>The total sample included 645 coffees. The characteristics were collected between the months of September and October 2021 from coffee packs sold in the main five supermarkets of retail chains in Spain. A log-log price/attribute function was used to estimate the hedonic price function.</p>
				<title>Main results:</title>
				<p>The attributes UTZ certification, origin, and coffee intensity received significant positive effects leading to higher premium prices of 28.51%, 25.50% and 26.50%, respectively. In contrast, Fairtrade certifications had a negative impact on the average price of coffee.</p>
				<title>Research highlights:</title>
				<p>The proposed model could be considered as a first approximation of a hedonic pricing model estimation for sustainable coffee in Spain. The results provide useful information for the coffee sector in developing effective marketing strategies that support the sustainability of food.</p>									
			</abstract>
			<kwd-group>
				<kwd>certified coffee;</kwd>
				<kwd>sustainability stamps;</kwd>
				<kwd>hedonic pricing methodology;</kwd>
				<kwd>Spanish market.</kwd>
			</kwd-group>
		</article-meta>

		<funding-group id="fw-01">
			<award-group id="aw1">
				<funding-source>The authors received no specific funding for this work.</funding-source> 
			</award-group>
		</funding-group>		
	</front>
	<body>
		<sec id="sec1" sec-type="intro">
			<title>Introduction</title>

			<p>In addition to price and quality, consumers have become more interested in the environmental and ethical conditions associated with the production of what they consume, which helps in achieving more balance between their consumption and a sustainable healthy lifestyle. Sustainable food has become an important aspect of the food industry, driving manufacturers to differentiate their products through certification, messaging, labelling, and many other strategies that report on product sustainability. Simultaneously, consumers have consistently shown that they are willing to pay an additional price for products that are labelled as sustainable (Van Loo et al., 2015; Janßen &amp; Langen, 2017). Sustainability labelling responds to consumer concerns, increases the value of the product, enhances competitiveness and secures the value chain operation (Erraach et al., 2017).</p>

			<p>Coffee is considered as among the most consumed drinks in the world. In 2020/2021, coffee consumption in European Union countries accounted for 33% of global consumption (CBI, 2021b). According to the International Coffee Organization (ICO, 2020), Spain is one of the main twenty most coffee-consuming countries in the world. Nowadays, an increasing number of people are consuming coffee, and are increasingly conscious about their consumption taking into consideration various aspects of its production process, whether environmental, ethical, or social.</p>

			<p>Over the years, the voluntary standards systems have
			evolved into a credit tool for monitoring unsustainable
			behaviour and ensuring the improvement of the coffee
			supply chain (Panhuysen &amp; Pierrot, 2014). The certified
			coffee farming follows certain guidelines considering at
			least one of the sustainability criteria: economic, environmental,
			and/or social. It also requires a verification by an
			independent certification body (Bozzola et al., 2021). This
			independent third-party confirmation of the status is “conducted
			by an accredited auditor. Typically, certifications
			must be renewed annually and are designed to protect both
			buyers and suppliers” (Bozzola et al., 2021). Thus, compared
			to conventional coffee farming, sustainable coffee
			farming is more efficient and profitable (Kharel &amp; Adhikari,
			2021). Meanwhile, the coffee is marketed with a label
			indicating that it has been produced under certain sustainability
			guidelines (Lentijo &amp; Hostetler, 2011). This contributes
			to better marketing opportunities because of a specific
			market demand for certified goods (Bozzola et al., 2021).</p>

			<p>The Fairtrade, Organic, Rainforest Alliance and UTZ
			certifications are the most prevalent third-party sustainability
			schemes widely used in the coffee market and are
			among the third-party sustainability certification schemes
			(Panhuysen &amp; Pierrot, 2020). Additionally, there are other
			verification schemes that are private sector standards (not
			certifications), such as Starbucks C.A.F.E. Practices and
			Nespresso’s AAA Guidelines, as well as 4C (the Common
			Code for the Coffee Community), a business-to-business
			initiative (Kolk, 2013).</p>

			<p>The coffee industry is recognised a successful example
			for other commodities implementing sustainability certifications,
			which are seen as credible attributes by consumers
			and an important tool for marketing and differentiating
			products (Reinecke et al., 2012). Under Fairtrade certification,
			farmers and labourers are supported to improve their
			lives and communities while promoting sustainable behaviour
			in coffee farming (Lentijo &amp; Hostetler, 2011). Moreover,
			Fairtrade certification guarantees a minimum price for
			the coffee produced (Cole &amp; Brown, 2014) who believed in
			the economic advantages brought by the Fair Trade since
			it empowers growers and drive sustainable development.
			However, Giuliano points out that the Fair-Trade Labeling
			Organization (FLO.The fairtrade label is considered the
			most well-known ethical label among consumers.</p>

			<p>Vigar et al. (2020) in a systematic review report that
			organic consumption is associated with reducing incidence
			of certain diseases compared to conventional food. Organic
			certification aims to preserve people’s health, soil, and
			ecosystems. This certification ensures that coffee is cultivated
			without synthetic fertilizers, and that sustainable
			methods and practices are used to protect the plants and
			preserve the soil (Ecocert, 2021).</p>

			<p>Coffee produced under Rainforest Alliance (2020) certification
			respects a set of principles of sustainable agriculture by promoting climate-friendly farming practises and
			preserving natural sources, as well as socially responsible
			measures.</p>

			<p>The UTZ certification, founded in 2003, assures coffee
			production with the use of sustainable fertilisers, pesticides,
			water, and energy. Workers are treated respectfully
			by providing them with good life conditions such as proper
			labour rights, housing, and healthcare. In July 2020, UTZ
			certification and Rainforest Alliance have been merged,
			and the UTZ certification refers to the Rainforest Alliance
			certification (Rainforest Alliance, 2021b).</p>

			<p>Even though sustainably certified coffee accounts
			for 55% of total global coffee production (Panhuysen &amp;
			Pierrot, 2020), the market share of sustainably certified
			coffee reached just 8% of exported coffee in 2009; 12%
			in 2012 (Potts et al., 2017); and about 26% in 2019 (Panhuysen
			&amp; Pierrot, 2020).</p>

			<p>The market share of certified coffee varies among
			countries with particular requirements for each certification
			system. According to CBI (the Centre for Promotion
			of Imports from developing countries, an agency of the
			Ministry of Foreign Affairs of the Netherlands), Europe is
			regarded as the most important market for certified coffee
			in the world. Organic and Fairtrade certifications are
			the most famous certifications among consumers over the
			world. Organic coffee is considered prevailing within Germany,
			France, Belgium, Denmark, and Sweden. However,
			Fairtrade coffee is widespread in the UK, Germany, and
			Switzerland, and its markets are growing rapidly in Ireland,
			Finland, and Denmark. Rainforest-certified coffee
			overwhelms in the UK, Germany, the Netherlands, and
			France. While UTZ-certified coffee is overwhelming in the
			Netherlands, Germany, Italy, Switzerland, and the Nordic
			market (CBI, 2021a).</p>

			<p>Due to “the difficult requirements such as record
			keeping, traceability and good agricultural practices that
			are commonly shared among the different certifications”
			(Pierrot et al., 2011), as well as to the proliferation of sustainability
			certification schemes among both coffee companies
			and consumers, producers are moving towards
			adopting multiple certifications for their products to secure
			or maintain market access. Hence, various sustainability
			labels are often found on the same coffee pack (Consumers
			International, 2005).</p>

			<p>In 2017, about 43% of UTZ certified coffee was certified
			for one or more other schemes (11% Fairtrade, 28%
			Rainforest, and 18% Organic) (UTZ, 2017). Similarly, in
			2020, 40% of the Rainforest Alliance producer groups/individual
			farms were certified to one or more other standards
			(28% UTZ, 18% Organic, 14% Fairtrade, 16% other)
			(Rainforest Alliance, 2021a).</p>

			<p>When it comes to influencing purchase decisions and
			determining the relationship between the consumer and retailer,
			price is one of the most significant variables (Angulo
			et al., 2000). Moreover, it was hypothesized that individual
			consumers assess a product’s quality based on a set of characteristics that offer them a certain utility (Schamel &amp;
			Anderson, 2003). According to Lancaster’s (1966) theory,
			consumers do not derive their utility directly from the goods
			they consume, but from the combination of characteristics
			that the goods possess. Rosen’s (1974) approach allows for
			the determination of the implicit price for each of these characteristics.
			The link between the price and attributes of the
			product is one of the hedonic price index model cases, in
			which the price of a product depends on its characteristics.</p>


			<table-wrap id="t1">
				<label>Table 1</label>
					<caption>
						<title>Data description characteristics.</title>
					</caption>
					<table>
						<thead>
							<tr>
								<th align="center"><strong>Characteristics</strong></th>
								<th align="center"><strong>Levels</strong></th>
								<th align="center"><strong>Observations (%)</strong></th>
							</tr>							
						</thead>
						<tbody>
							<tr>
								<td>Price</td>
								<td> </td>
								<td align="center">Continuous (€/kg)</td>
							</tr>
							<tr>
								<td>Quantity</td>
								<td> </td>
								<td align="center">Continuous (g)</td>
							</tr>
							<tr>
								<td>Retail chain</td>
								<td>Hypermarket (Carrefour)</td>
								<td align="center">36.07</td>
							</tr>
							<tr>
								<td> </td>
								<td>Neighbourhood (Mercadona + Eroski)</td>
								<td align="center">47.06</td>
							</tr>
							<tr>
								<td> </td>
								<td>Discount (DIA + Lidl)</td>
								<td align="center">16.87</td>
							</tr>
							<tr>
								<td>Brand</td>
								<td>Leader</td>
								<td align="center">81.33</td>
							</tr>
							<tr>
								<td> </td>
								<td>Private</td>
								<td align="center">18.67</td>
							</tr>
							<tr>
								<td>Sustainability labels</td>
								<td>Fairtrade</td>
								<td align="center">2.17</td>
							</tr>
							<tr>
								<td> </td>
								<td>Organic</td>
								<td align="center">5.57</td>
							</tr>
							<tr>
								<td> </td>
								<td>Rainforest</td>
								<td align="center">2.48</td>
							</tr>
							<tr>
								<td> </td>
								<td>UTZ certified</td>
								<td align="center">20.69</td>
							</tr>
							<tr>
								<td>Intensity</td>
								<td> </td>
								<td align="center">64.65</td>
							</tr>
							<tr>
								<td>Origin</td>
								<td> </td>
								<td align="center">27.29</td>
							</tr>
						</tbody>

					<thead>
							<tr>
								<th align="center"><strong>Samples<sup>[1]</sup></strong></th>
								<th align="center"><strong>Observations (%)</strong></th>
								<th align="center"><strong>Minimum price (€/kg)</strong></th>
								<th align="center"><strong>Maximum price (€/kg)</strong></th>
								<th align="center"><strong>Average price (€/kg)</strong></th>
								<th align="center"><strong>SD</strong></th>
							</tr>							
						</thead>

					<tbody>
						<tr>
								<td>Total sample</td>
								<td align="center">645 (100)</td>
								<td align="center">0.99</td>
								<td align="center">16.9</td>
								<td align="center">33.90</td>
								<td align="center">23.63</td>
						</tr>
						<tr>
								<td>50-150 g</td>
								<td align="center">323 (50.08)</td>
								<td align="center">18.5</td>
								<td align="center">138.33</td>
								<td align="center">52.08</td>
								<td align="center">17.24</td>
						</tr>
						<tr>
								<td>150-250 g</td>
								<td align="center">72(11.16)</td>
								<td align="center">9.60</td>
								<td align="center">63.68</td>
								<td align="center">28.75</td>
								<td align="center">23.63</td>
						</tr>
						<tr>
								<td>250-350 g</td>
								<td align="center">171(26.51)</td>
								<td align="center">3.96</td>
								<td align="center">65.19</td>
								<td align="center">13.36</td>
								<td align="center">9.03</td>
						</tr>
						<tr>
								<td>350-550 g</td>
								<td align="center">63 (9.77)</td>
								<td align="center">4.10</td>
								<td align="center">23.98</td>
								<td align="center">9.28</td>
								<td align="center">4.37</td>
						</tr>
						<tr>
								<td>550-1050 g</td>
								<td align="center">16 (2.48)</td>
								<td align="center">4.49</td>
								<td align="center">12.99</td>
								<td align="center">6.51</td>
								<td align="center">2.46</td>
						</tr>

					</tbody>

					</table>
					<table-wrap-foot>
						<fn id="TFN1">
							<p><sup>[1]</sup>Average weight of coffee in the sample, 202.14 g. Source: Own elaboration.</p>
						</fn>
					</table-wrap-foot>
				</table-wrap>


			<p>In this research field, the hedonic price method appears
			to be promising for estimating the implicit value
			of coffee’s sustainability attributes. Based on this framework,
			the main objective of this study is to estimate the
			implicit price of sustainability labels found on the coffee
			packages, sold in the Spanish market, with an emphasis
			on third-party sustainability schemes. Specifically, the
			research question in the present study is to investigate:
			What is the current situation of sustainable coffee in the
			Spanish market?</p>

			
		</sec> <!--sec1-->

		<sec id="sec2" sec-type="materials|methods">
			<title>Material and methods</title>
			
			<p>The hedonic pricing approach has been used in numerous
			applications in the Agri-food industry. Here are some
			examples: saffron (Sanjuán-López et al., 2009), olive oil
			(Cavallo et al., 2018; Ballco &amp; Gracia, 2020), wine (Angulo
			et al., 2000; Galati et al., 2017), and yoghurt (Carlucci,
			2013; Ballco &amp; De-Magistris, 2018).</p>

			<p>The attributes in this study were selected after conducting
			a literature review with consideration of the specific
			characteristics of sustainable coffee. Indeed, coffee, like
			wine and olive oil, is a highly differentiated product where
			attributes (both intrinsic and extrinsic) determine the final
			price. In the economic literature, few studies aimed to
			evaluate the implicit price by using hedonic models have
			focused on certified coffee. Recent studies include Bosbach
			&amp; Maietta (2019), who estimated the price premium
			of Fairtrade labels in the Italian market, and Wang (2016)
			who found that the fair trade labels increased prices in the
			US market.</p>

			<p>In the empirical application of hedonic price functions
			in the Agri-food sector, data have been collected in different
			ways, e.g., purchases reported in questionnaires
			addressed to consumers (Gracia Royo &amp; Pérez y Pérez,
			2004) or from product labels in points of sale (Karipidis et
			al., 2005). This study follows (Sanjuán-López et al., 2009;
			Ballco &amp; De-Magistris, 2018; Ballco &amp; Gracia, 2020) and
			collects data from online shopping websites.</p>

			<p>Data were collected from the main retailers in Spain. To guarantee the representativeness of the sample, fieldwork was conducted in September and October 2021. A total of 5 supermarkets were visited. They belong to Spain’s five main retail chains and account for 50.6% of the supermarket market share: Mercadona, 24.8%; Carrefour, 9.2%; Lidl, 6.8%; DIA Group, 5.1%; and Eroski Group, 4.7% (Kantar, 2021).</p>

		<table-wrap id="t2">
				<label>Table 2</label>
					<caption>
						<title>Description of variables used in the estimation of the hedonic price function.</title>
					</caption>
					<table>
						<thead>
							<tr>
								<th align="center"><strong>Attribute category</strong></th>
								<th align="center"><strong>Attribute level</strong></th>
								<th align="center"><strong>Value</strong></th>
							</tr>							
						</thead>
						<tbody>
							<tr>
								<td>Price</td>
								<td> </td>
								<td>Continuous (€/kg)</td>
							</tr>
							<tr>
								<td>Quantity</td>
								<td> </td>
								<td>Continuous (g)</td>
							</tr>
							<tr>
								<td>Retail channel</td>
								<td>Hypermarket</td>
								<td>Takes 1 if the coffee is sold in the Hypermarket</td>
							</tr>
							<tr>
								<td> </td>
								<td> </td>
								<td>0 otherwise</td>
							</tr>
							<tr>
								<td> </td>
								<td>Neighbourhood</td>
								<td>Takes 1 if the coffee is sold in the Neighborhood</td>
							</tr>
							<tr>
								<td> </td>
								<td> </td>
								<td>0 otherwise</td>
							</tr>
							<tr>
								<td> </td>
								<td>Discount</td>
								<td>Takes 1 if the coffee is sold in the Discount</td>
							</tr>
							<tr>
								<td> </td>
								<td> </td>
								<td>0 otherwise</td>
							</tr>
							<tr>
								<td>Brand</td>
								<td>Leader</td>
								<td>Takes 1 if the coffee is a leader brand</td>
							</tr>
							<tr>
								<td> </td>
								<td> </td>
								<td>0 if the private brand (supermarket brand)</td>
							</tr>
							<tr>
								<td>Sustainability labels</td>
								<td>Fairtrade</td>
								<td>Takes 1 if the coffee is labelled Fairtrade</td>
							</tr>
							<tr>
								<td> </td>
								<td> </td>
								<td>0 otherwise</td>
							</tr>
							<tr>
								<td> </td>
								<td>Organic</td>
								<td>Takes 1 if the coffee is labelled organic</td>
							</tr>
							<tr>
								<td> </td>
								<td> </td>
								<td>0 otherwise</td>
							</tr>
							<tr>
								<td> </td>
								<td>Rainforest</td>
								<td>Takes 1 if the coffee is labelled Rainforest</td>
							</tr>
							<tr>
								<td> </td>
								<td> </td>
								<td>0 otherwise</td>
							</tr>
							<tr>
								<td> </td>
								<td>UTZ certified</td>
								<td>Takes 1 if the coffee is labelled UTZ</td>
							</tr>
							<tr>
								<td> </td>
								<td> </td>
								<td>0 otherwise</td>
							</tr>
							<tr>
								<td>Intensity</td>
								<td> </td>
								<td>Takes 1 if the intensity is indicated</td>
							</tr>
							<tr>
								<td> </td>
								<td> </td>
								<td>0 otherwise</td>
							</tr>
							<tr>
								<td>Origin</td>
								<td> </td>
								<td>Takes 1 if the origin is indicated</td>
							</tr>
							<tr>
								<td> </td>
								<td> </td>
								<td>0 otherwise</td>
							</tr>
				
					</tbody>

					</table>
					<table-wrap-foot>
						<fn id="TFN2">
							<p>Source: Own elaboration.</p>
						</fn>
					</table-wrap-foot>
				</table-wrap>

			<p>A total of 645 coffee packs were examined at the five
			supermarkets, where the main characteristic is their selling
			price as dependent variable. As indicated in Table 1, the
			database also recorded the following information: quantity,
			retail chain, brand, sustainability label, intensity and
			origin that were included in the hedonic price model as
			explanatory variables.</p>

			<p>The dataset included references from 43 different
			brands. Five of them carried the brands of the distribution
			channels and accounted for 14.09% of the total observations.
			The remaining 85.91% were the retailers’ brands.
			Carrefour and Eroski shared more than 70% of the total
			number of references, followed by DIA and Mercadona,
			with about 11% each Lidl, on the other hand, had a much
			lower number of references (5.87%).</p>

			<p>As far as the sustainability labels are concerned, UTZ
			certification was present in 20.2% of the total observations,
			followed by organic (5.58%), rainforest (2.48%)
			and fairtrade certification (2.17%). Considering the relationship
			between sustainability and retail chains, about
			29.15% of the observed coffee packs carried a sustainability
			label.</p>

			<p>About 40.42% of Carrefour’s retailer coffees carried
			a sustainability label; DIA, 12.23%; Mercadona, 2.13%;
			Eroski, 32.45%; and Lidl, 12.76%. The remaining 70.85%
			of the observations were not certified for sustainability. As
			for the attribute origin of the coffee, 27.29% of the coffee
			was marketed indicating the country of origin, while
			64.65% indicated the intensity of the coffee.</p>

			<p>The price of coffee ranged from a minimum of €0.99 to a
			maximum of €16.95 depending on the quantity of the pack,
			with an average price of €33.90/kg. The quantity content
			varied from a minimum of 50 g to a maximum of 1000 g,
			with an average weight of 202.14 g. The most common
			size found was 50–150 g (50.08%), followed by 250–350
			g (26.51%), and containers of 150–250 g (11.16%).</p>

			<table-wrap id="t3">
				<label>Table 3</label>
					<caption>
						<title>Ramsey's regression specification error test for linearity.</title>
					</caption>
					<table>
						<thead>
							<tr>
								<th align="center"><strong>Functional form</strong></th>
								<th align="center"><strong>F-statistic</strong></th>
								<th align="center"><strong>p-value</strong></th>
								<th align="center"><strong>Test result</strong></th>
							</tr>							
						</thead>
						<tbody>
							<tr>
								<td>Lin-Lin</td>
								<td align="center">437.870</td>
								<td align="center">0.000</td>
								<td align="center">Rejected</td>
							</tr>
							<tr>
								<td>Lin-Log</td>
								<td align="center">87.271</td>
								<td align="center">0.000</td>
								<td align="center">Rejected</td>
							</tr>
							<tr>
								<td>Log-Lin</td>
								<td align="center">301.930</td>
								<td align="center">0.000</td>
								<td align="center">Rejected</td>
							</tr>
							<tr>
								<td>Log-Log</td>
								<td align="center">0.081</td>
								<td align="center">0.776</td>
								<td align="center">Rejected</td>
							</tr>
				
					</tbody>
					</table>
				</table-wrap>

			<p>Hedonic price theory assumes that goods are heterogeneous
			or differentiated and that each possible bundle of
			characteristics defines various qualities. Each coffee product
			consists of a set of characteristics for which consumers
			are assumed to have preferences. The model decomposes
			these characteristics that influence price and assigns them
			separate values P. Rosen’s (1974) hedonic price function
			expresses the price of a variety as a function, where the
			vector represents the product’s features under study:</p>

		<disp-formula id="e1">
	 				<math id="mml-1">
 						<mi>P</mi>
 						<mo>=</mo>
 						<mi>f</mi>
 						<mo>(</mo>
 						<mi>z</mi>
 						<mo>)</mo>
				</math>
				<label>(1)</label>
		</disp-formula>

			<p>This hedonic price equation represents the equilibrium
			between suppliers and consumers in which suppliers are
			willing to sell (minimum price), and consumers are ready
			to pay for an additional attribute (maximum price). Assuming
			that preferences for the differentiated product are
			defined in terms of the product’s characteristics, the consumer’s
			utility function is presented as follows:</p>

			<disp-formula id="e2">
	 			<math id="mml-2">
	 				<mi>U</mi>
 						<mo>=</mo>
 						<mi>U</mi>
 						<mo>(</mo>
 						<mi>x,z</mi>
 						<mo>)</mo>
				</math>
				<label>(2)</label>
			</disp-formula>

			<disp-formula id="e3">
	 			<math id="mml-3">
	 					<mi>Y</mi>
 						<mo>=</mo>
 						<mi>wx</mi>
 						<mo>+</mo>
 						<mi>f</mi>
 						<mo>(</mo>
 						<mi>z</mi>
 						<mo>)</mo>
				</math>
				<label>(3)</label>
			</disp-formula>

			<p>where Y is the income of the consumer, x is a vector of homogeneous
			goods representing all goods except the product
			examined, and w is its price. The consumer opts for the
			optimal number of characteristics of coffee to maximise
			his utility (subject to a budget) until the implicit marginal
			price level equals his/her willingness to pay for the attributes.
			In this study, the characteristics of the coffee (z<sub>kj</sub>) in
			the market are presented in Table 2.</p>

			
			<disp-formula id="e4">
	 			<math id="mml-4">
	 					<msub>
	 						<mi>f</mi>
	 						<mi>j</mi>
 						</msub>
 						<mo>=</mo>
 						<msub>
	 						<mi>U</mi>
	 						<mi>j</mi>
 						</msub>
 						<mo>(</mo>
 						<mi>x, z</mi>
 						<mo>)</mo>
 						<mo>/</mo>
 						<mi>&#955;</mi>
 						<mo>(</mo>
 						<mi>x, z</mi>
 						<mo>)</mo>
 						<mo>=</mo>
 						<mi>g</mi>
 						<mo>(</mo>
 						<mi>y</mi>
 						<mo>-</mo>
 						<mi>P, z</mi>
 						<mo>)</mo>
				</math>
				<label>(4)</label>
			</disp-formula>

			<p>where f<sub>j</sub>=∂f/∂z_j; U_j=∂U/∂z_i; and λ is the Lagrange multiplier.</p>

			<p>The linear specification can be considered:</p>

			
			<disp-formula id="e5">
	 			<math id="mml-5">
	 					<msub>
	 						<mi>P</mi>
	 						<mi>k</mi>
 						</msub>
 						<mo>=</mo>
 						<msub>
	 						<mi>&#946;</mi>
	 						<mn>0</mn>
 						</msub>
 						<mo>+</mo>
 						<msubsup>
 							<mi>&#931;</mi>
 							<mi>j=1</mi>
 							<mi>m</mi>
 						</msubsup>
 						<msub>
	 						<mi>&#946;</mi>
	 						<mi>j</mi>
 						</msub>
 						<msub>
	 						<mi>z</mi>
	 						<mi>kj</mi>
 						</msub>
 						<mo>+</mo>
 						<msub>
 							<mo>&#949;</mo>
 							<mi>k</mi>
 						</msub>
				</math>
				<label>(5)</label>
			</disp-formula>

			<p>where β<sub>j</sub> are the parameters to estimate the implicit prices
			or the willingness to pay. In the empirical literature, the hedonic
			price model has been estimated with different functional
			forms: linear (lin-lin), semi-logarithmic (log-lin),
			logarithmic (lin-log), and double-logarithmic (log-log).</p>

			<p>Economic theory does not specify which functional form
			of the hedonic price equation is most appropriate. Therefore,
			to select the functional form that fits best the data,
			the researcher must make an empirical decision. In this paper
			case, following the literature of Schamel &amp; Anderson
			(2019), the appropriate functional form is selected by applying
			the Ramsey (1969)’s RESET (Regression Equation
			Specification Error Test). Additionally, the Jarque Bera test
			(a diagnostic test used to assess normality - Thadewald &amp;
			Büning, 2004), was performed.</p>

			<p>There has been considerable studies on the influence of
			coffee attributes, especially sustainability labels, on price,
			due to the significant differentiation of this product (Maietta,
			2005; Van Loo et al., 2015; Wang, 2016; Bosbach &amp;
			Maietta, 2019; Lingnau et al., 2019). In our study, the price
			was measured in euros per kilogram and introduced as
			dependent continuous variable. Additionally, the quantity
			of coffee was measured in grams and introduced as continuous
			independent variable. Further, we included other
			explanatory variables (retail chain, brand, sustainability
			labels, intensity, and origin) as independent dummy variables.
			Table 2 shows the values of the variables used in the
			estimation of the hedonic price function.</p>

		</sec> <!--sec2-->

		<sec id="sec3" sec-type="results">
			<title>Results</title>

			<p>In the first step, the linear (lin-lin), logarithmic (linlog),
			semi-logarithmic (log-lin) and double-logarithmic
			(log-log) models were employed with the RESET to verify
			the model’s linearity. Table 3 contains the results showing
			that three possible functional forms are rejected: lin-lin,
			log-lin and lin-log models (p &lt; 0.000). That is, we rejected
			the null hypothesis of no misspecification or missing
			variable bias. However, with a statistical value of 0.025
			and a p-value of 0.873, the Ramsey RESET suggests that the double log model may be correctly specified (the null hypothesis of correct/linear specification was not rejected at the 5% significance level).</p>

			<table-wrap id="t4">
				<label>Table 4</label>
					<caption>
						<title>Jarque-Bera test for normality of residuals.</title>
					</caption>
					<table>
						<thead>
							<tr>
								<th align="center"><strong>Functional form</strong></th>
								<th align="center"><strong>F-statistic</strong></th>
								<th align="center"><strong>p-value</strong></th>
								<th align="center"><strong>Test result</strong></th>
							</tr>							
						</thead>
						<tbody>
							<tr>
								<td>Lin-Lin</td>
								<td align="center">116.800</td>
								<td align="center">0.000</td>
								<td align="center">Rejected</td>
							</tr>
							<tr>
								<td>Lin-Log</td>
								<td align="center">902.680</td>
								<td align="center">0.000</td>
								<td align="center">Rejected</td>
							</tr>
							<tr>
								<td>Log-Lin</td>
								<td align="center">9.395</td>
								<td align="center">0.009</td>
								<td align="center">Rejected</td>
							</tr>
							<tr>
								<td>Log-Log</td>
								<td align="center">2.635</td>
								<td align="center">0.268</td>
								<td align="center">Rejected</td>
							</tr>
				
					</tbody>

					</table>
					<table-wrap-foot>
						<fn id="TFN2">
							<p>Source: Own elaboration.</p>
						</fn>
					</table-wrap-foot>
				</table-wrap>

			<p>Since the RESET could lead to inconclusive results, we
			also applied the Jarque Bera test to finally select the adequate
			functional form (Table 4). With a statistical p-value
			of 0.000, the Jarque Bera test reveals that the residuals of
			the linear (lin-lin), logarithmic (lin-log) and semi-logarithmic
			(log-lin) models were not normally distributed
			and hence the models were not correctly specified. The
			Jarque Bera test findings showed once more that the double
			logarithmic (log-log) functional form was suitable.
			The Jarque-Bera test, with a statistical value of 3.520 and a
			p-value of about 0.172 indicated that the model’s residuals
			were normally distributed; hence, the model was considered
			to be correctly specified. That is, the Jarque-Bera test
			demonstrated sufficient normality of the residuals. Accordingly,
			both the price and quantity variables were converted
			to logarithms and the double logarithmic model was estimated
			as follows:</p>

			<disp-formula id="e6">
	 			<math id="mml-6">
	 					<mi>L</mi>
	 					<mi>n</mi>
 						<mo>(</mo>
 						<mi>Price</mi>
 						<mo>)</mo>
 						<mo>=</mo>
 						<mi>Constant</mi>
 						<mo>+</mo>
 						<msub>
	 						<mi>&#946;</mi>
	 						<mn>1·</mn>
 						</msub>
 						<mi>L</mi>
	 					<mi>n</mi>
	 					<mo>(</mo>
 						<mi>Quantity</mi>
 						<mo>)</mo>
 						<mo>+</mo>
 						<msub>
	 						<mi>&#946;</mi>
	 						<mn>2·</mn>
 						</msub>
 						<mo>(</mo>
 						<mi>Brand</mi>
 						<mo>)</mo>
 						<mo>+</mo>
 						<msub>
	 						<mi>&#946;</mi>
	 						<mn>3·</mn>
 						</msub>
 						<mo>(</mo>
 						<mi>Hypermarket</mi>
 						<mo>)</mo>
 						<mo>+</mo>
 						<msub>
	 						<mi>&#946;</mi>
	 						<mn>4·</mn>
 						</msub>
 						<mo>(</mo>
 						<mi>Neighborhood</mi>
 						<mo>)</mo>
 						<mo>+</mo>
 						<msub>
	 						<mi>&#946;</mi>
	 						<mn>5·</mn>
 						</msub>
 						<mo>(</mo>
 						<mi>Discount</mi>
 						<mo>)</mo>
 						<mo>+</mo>
 						<msub>
	 						<mi>&#946;</mi>
	 						<mn>6·</mn>
 						</msub>
 						<mo>(</mo>
 						<mi>Fairtrade</mi>
 						<mo>)</mo>
 						<mo>+</mo>
 					</math>

 					<math>
 						<msub>
	 						<mi>&#946;</mi>
	 						<mn>7·</mn>
 						</msub>
 						<mo>(</mo>
 						<mi>Rainforest</mi>
 						<mo>)</mo>
 						<mo>+</mo>
 						<msub>
	 						<mi>&#946;</mi>
	 						<mn>8·</mn>
 						</msub>
 						<mo>(</mo>
 						<mi>UTZ</mi>
 						<mo>)</mo>
 						<mo>+</mo>
 						<msub>
	 						<mi>&#946;</mi>
	 						<mn>9·</mn>
 						</msub>
 						<mo>(</mo>
 						<mi>Organic</mi>
 						<mo>)</mo>
 						<mo>+</mo>
 						<msub>
	 						<mi>&#946;</mi>
	 						<mn>10·</mn>
 						</msub>
 						<mo>(</mo>
 						<mi>Intensity</mi>
 						<mo>)</mo>
 						<mo>+</mo>
 						<msub>
	 						<mi>&#946;</mi>
	 						<mn>11·</mn>
 						</msub>
 						<mo>(</mo>
 						<mi>Origin</mi>
 						<mo>)</mo>
 						<mo>+</mo>
 						<msub>
 							<mo>&#949;</mo>
 							<mi>i</mi>
 						</msub>	
				</math>
				<label>(6)</label>
			</disp-formula>

			<p>Moreover, to check the adequacy of the model, first,
			the variance inflation factor (VIF) was used to determine
			whether there was a correlation between the variables. The
			VIF of these indices was less than 5 for each covariate,
			then, we could conclude that there is no problem with multicollinearity.
			In addition, to test the heteroscedasticity of
			errors in regression, the Breusch-Pagan-Godfrey test was
			applied, where the null hypothesis of homoscedasticity of
			the error term was rejected (probability F-statistic 0.000),
			indicating homoscedasticity problems. To address this issue,
			White's robust estimation strategy was applied to determine
			the standard errors of the parameters that could
			conduct to problematic inference on the significance of
			parameters.</p>

			<p>The observations from Table 5 show that the regression
			fit was quite high; the adjusted R-squared had a value
			of 77.84% with a significant F-value. This means that
			77.49% of the log-price variation could be explained by
			the explanatory variables.</p>

			<table-wrap id="t5">
				<label>Table 5</label>
					<caption>
						<title>Parameters estimates of the price hedonic equation.</title>
					</caption>
					<table>
					<thead>
							<tr>
								<th align="center"><strong>Variable<sup>[1]</sup></strong></th>
								<th align="center"><strong>Coefficient</strong></th>
								<th align="center"><strong>Std. Error</strong></th>
								<th align="center"><strong>p-value</strong></th>
								<th align="center"><strong>Marginal effect (%)</strong></th>
							</tr>							
						</thead>

					<tbody>
						<tr>
								<td><strong>Marginal effect (%)</strong></td>
								<td align="center">6.846</td>
								<td align="center">0.145</td>
								<td align="center">0.000***</td>
								<td align="center"> </td>
						</tr>
						<tr>
								<td><strong>Quantity</strong></td>
								<td align="center">-0.838</td>
								<td align="center">0.024</td>
								<td align="center">0.000***</td>
								<td align="center"> </td>
						</tr>
						<tr>
								<td><strong>Brand</strong></td>
								<td align="center">0.349</td>
								<td align="center">0.048</td>
								<td align="center">0.000***</td>
								<td align="center">41.76</td>
						</tr>
						<tr>
								<td><strong>Retail chain</strong></td>
								<td align="center"> </td>
								<td align="center"> </td>
								<td align="center"> </td>
								<td align="center"> </td>
						</tr>
						<tr>
								<td>Hypermarket</td>
								<td align="center">0.102</td>
								<td align="center">0.054</td>
								<td align="center">0.058*</td>
								<td align="center">10.73</td>
						</tr>
						<tr>
								<td>Neighborhood</td>
								<td align="center">0.024</td>
								<td align="center">0.053</td>
								<td align="center">0.656</td>
								<td align="center">2.39</td>
						</tr>
						<tr>
								<td><strong>Sustainability labels</strong></td>
								<td align="center"> </td>
								<td align="center"> </td>
								<td align="center"> </td>
								<td align="center"> </td>
						</tr>
						<tr>
								<td>Fairtrade</td>
								<td align="center">-0.320</td>
								<td align="center">0.105</td>
								<td align="center">0.003***</td>
								<td align="center">-27.38</td>
						</tr>
						<tr>
								<td>Rainforest</td>
								<td align="center">-0.029</td>
								<td align="center">0.101</td>
								<td align="center">0.777</td>
								<td align="center">-2.83</td>
						</tr>
						<tr>
								<td>UTZ</td>
								<td align="center">0.251</td>
								<td align="center">0.041</td>
								<td align="center">0.000***</td>
								<td align="center">28.51</td>
						</tr>
						<tr>
								<td>Organic</td>
								<td align="center">0.251</td>
								<td align="center">0.098</td>
								<td align="center">0.010***</td>
								<td align="center">28.50</td>
						</tr>
						<tr>
								<td><strong>Origin</strong></td>
								<td align="center">0.084</td>
								<td align="center">0.034</td>
								<td align="center">0.014***</td>
								<td align="center">8.78</td>
						</tr>
						<tr>
								<td><strong>Intensity</strong></td>
								<td align="center">0.235</td>
								<td align="center">0.043</td>
								<td align="center">0.000***</td>
								<td align="center">26.50</td>
						</tr>
						<tr>
								<td><strong>R<sup>2</sup></strong></td>
								<td align="center">0.7784</td>
								<td align="center"> </td>
								<td align="center"> </td>
								<td align="center"> </td>
						</tr>
						<tr>
								<td><strong>R<sup>2</sup> adjusted</strong></td>
								<td align="center">0.7749</td>
								<td align="center"> </td>
								<td align="center"> </td>
								<td align="center"> </td>
						</tr>
						<tr>
								<td><strong>F_test</strong></td>
								<td align="center">222.7 (0.000)</td>
								<td align="center"> </td>
								<td align="center"> </td>
								<td align="center"> </td>
						</tr>
					</tbody>

					</table>
					<table-wrap-foot>
						<fn id="TFN1">
							<p><sup>[1]</sup>***,**.*: significant at 1%, 5%and 10% level, respectively. Source: Own elaboration.</p>
						</fn>
					</table-wrap-foot>
				</table-wrap>

			<p>The quantity of coffee negatively impacted the price,
			with a coefficient of -0.838. Since price and quantity are
			expressed in logarithms, the estimated coefficient could
			be interpreted as elasticity. Thus, a 1% increase in coffee
			quantity results in a -0.838% decrease in price. This is an
			expected result since a unit price discount is normally given
			when a larger quantity of a product is purchased. In addition,
			previous hedonic price studies have confirmed an inverse
			relationship between product price and package size
			(Parcell &amp; Schroeder, 2007; Ward et al., 2008). The remaining
			independent variables in the hedonic price model were
			introduced as dummy variables. Since the functional form
			was double, the coefficient for the dummy variable could
			be interpreted as price variation according to the following
			procedure (Halvorsen &amp; Palmquist, 1980):</p>

			<disp-formula id="e7">
	 			<math id="mml-7">
	 					<mi>&#916;</mi>
	 					<mi>P</mi>
	 					<mo>/</mo>
	 					<mi>P</mi>
 						<mo>=</mo>
 						<mo>(</mo>
 						<msup>
	 						<mi>e</mi>
	 						<mi>coefficient</mi>
 						</msup>
 						<mo>-</mo>
 						<mn>1</mn>
 						<mo>)</mo>
 						<mo>*</mo>
 						<mn>100</mn>
				</math>
				<label>(7)</label>
			</disp-formula>

			<p>The different retail channels for coffee were not statistically
			significant. Therefore, premium prices were not associated
			with them. About the two brand types, the results showed a positive impact for the leader brand compared to the private one (supermarket brand), which received a percentage premium of +41.76% and additional implicit prices of +1.73 €/kg. This result may be explained by the fact that leading brands enter the market with new ideas and products and incur research and development costs that are recouped via sales. All these elements contribute to building
			the brand loyalty and justify the higher price as well.</p>

			<p>Regarding sustainability labels, organic certification and
			UTZ certification were important sustainability attributes
			that affect the price of coffee. Both organic and UTZ certifications
			were statistically significant, with coefficients of
			+0.25076 and +0.25083, respectively. As a result, organic
			coffee had a premium price of +28.50% and UTZ certification
			had a premium of +28.51% compared to regular coffee.
			Thus, Spanish consumers pay an additional price of +1.17
			€/kg for organic certification and +1.18 €/kg for the sustainability
			label UTZ certification. These findings seem understandable
			considering that consumer awareness of health
			and environmental protection has increased and has a significant
			impact on consumers’ food choices. Unexpectedly,
			Fairtrade certification’s coefficient was negative with a percentage
			price premium of -27.28% discount. Furthermore,
			Rainforest certification had no effect on market prices for
			coffee. However, it should be noted that the number of observations
			of these two certifications was small.</p>

			<p>The coffee’s intensity had a positive impact on pricing
			and resulted in a +26.50% premium on the average price.
			Consumers thus pay an additional price of +1.10 €/kg
			when this attribute appears on the coffee’s packs. Another
			key factor influencing coffee prices was the origin. A
			coffee carrying this attribute on its pack, was priced at an
			8.78% additional price compared to the regular coffee.</p>

		</sec>


		<sec id="sec4" sec-type="results">
			<title>Discussion</title>

			<p>In this paper, we applied the hedonic price model to
			estimate the implicit prices of the main sustainability labels
			and provided additional insights on which attributes
			should be considered to achieve better-added value.</p>

			<p>According to the findings, coffee prices were positively
			affected by UTZ certification. The results seem to be
			consistent with prior studies that revealed that consumers
			across different countries give value to this certification.
			Among the countries that are in favour of UTZ certification
			are the Netherlands, Germany, Belgium, Switzerland
			and Nordic (CBI, 2021a). Although relatively little organic
			labelled coffee was sold in the market, the results showed
			that this certification is an important attribute that positively
			influences market prices for coffee. These results are
			consistent with those of other studies showing that organic
			certification raises the value of coffee (Van Loo et al.,
			2015).The obtained data were also consistent with those
			observed by Bernabéu &amp; Díaz (2017) and Ballco &amp; Gracia
			(2020) for organic olive oils and by Rousseau &amp; Vranken
			(2013) for organic apples, who indicated that this certification
			adds value to the products.</p>

			<p>Unexpectedly, Fairtrade certification had a negative impact
			on market pricing. This finding differs from some published
			studies that have found that Fairtrade labels increase
			the value of coffee: Bosbach &amp; Maietta (2019) in the Italian
			market by about 30%; Bissinger &amp; Leufkens (2017) in the
			German market by 55%; and Wang (2016) in the US market
			by 15-30%. According to Goicoechea (2022), the CEO
			of Iberian Fairtrade, Spain ranks last in Europe in terms of
			Fair Trade certified products consumption. This means that
			compared to other European countries, Spain’s Fairtrade
			market is less developed. Furthermore, Spanish consumers
			spent 2.9 € on fair trade products in 2020 (Fairtrade Ibérica,
			2021), while European consumers spent 15 € on these
			products in the same year (Goicoechea, 2022). Further, a
			study from 2007 on acceptance of Fair Trade food in the
			southeastern Spain found that: “the market possibilities for
			Fair Trade food in the southeast of Spain are promising, as
			long as the consumer receives adequate information” (Martinez-
			Carrasco et al., 2007, p.174). A possible explanation
			for this result might be that Fairtrade certification is still in
			the growth phase and has not yet found its place in the Spanish
			market. Furthermore, according to Rotaris &amp; Danielis
			(2011), the differences in willingness-to-pay values across
			studies may be related to a range of factors, such as sample
			characteristics, data collection, analytical methods, coffee
			variety, geographical context and certifications studied. On
			the other hand, in Spain, the Frog of Rainforest on coffee
			packs could be found in 16 brands, which is considered low
			compared to many European countries, where the Rainforest
			label could be found in 58 brands in UK, 37 in Germany, 34
			in the Netherlands, 20 in Sweden, and 19 brands in Belgium
			(Rainforest Alliance, 2022), what could explains our results.</p>

			<p>Coffee carrying the indication of the country of origin
			on its packs was priced higher than those without. This
			finding is consistent with Wang (2016) and Bosbach &amp;
			Maietta (2019) who found that the origin of coffee is an
			essential aspect for many coffee consumers’.</p>

			<p>The growing consumer concern about health and environmental
			protection has significantly increased during
			the recent pandemic (Covid-19). This represents an opportunity
			to promote sustainability by translating it into
			actual consumer behaviour. The sustainability certifications
			demanded by consumers might assist manufacturers
			in developing more profitable strategies based on product
			differentiation. Additionally, leading brands may be able to
			achieve a relevant price premium compared to private labels.
			Thus, strengthening brand equity might be a possible
			strategy that affects coffee prices.</p>

			<p>Given the limited focus of our study, future studies are
			needed to better understand Spanish consumers’ preferences
			for coffee, by including other characteristics, such
			as nutrition and sensory characteristics, package and variety
			of coffee (Arabica/Robusta) along with sustainability
			certifications. Additionally, the sample used was based on coffee marketed at the five main supermarket chains where Spanish consumers purchase their food baskets, excluding specialised establishments such as the Gourmet circuit.
			Future studies should analyse the extent to which consumers
			prefer these features and their willingness to pay for
			them. Future research could also test the validity of our
			results with sustainability certifications using other food
			products in the market. Although the study sheds light on
			the Spanish market, the findings would also be extrapolated
			to other countries with similar characteristics like the
			Mediterranean countries, whose economic structures of
			the business fabric is similar, as well as a similar patterns
			of food consumption.</p>

		</sec>



			<!--table-wrap id="t2">
				<label>Table 2</label>
					<caption>
						<title>Rate of participation of imports in exports for the main exporter.</title>
					</caption>
					<table>
						<thead>
							<tr>
								<th>Country</th>
								<th align="right">2010</th>
								<th align="right">2011</th>
								<th align="right">2012</th>
								<th align="right">2013</th>
								<th align="right">2014</th>
								<th align="right">2015</th>
								<th align="right">2016</th>
								<th align="right">2017</th>
								<th align="right">2018</th>
								<th align="right">2019</th>
							</tr>							
						</thead>
						<tbody>
							<tr>
								<td>Tunisia</td>
								<td align="right">0.3</td>
								<td align="right">0.6</td>
								<td align="right">0.1</td>
								<td align="right">0.3</td>
								<td align="right">1.5</td>
								<td align="right">0.3</td>
								<td align="right">3.8</td>
								<td align="right">1.7</td>
								<td align="right">0.3</td>
								<td align="right">0.4</td>
							</tr>
							<tr>
						        <td>Argentina</td>
						        <td align="right">0.5</td>
						        <td align="right">0.9</td>
						        <td align="right">0.4</td>
						        <td align="right">0.5</td>
						        <td align="right">1.1</td>
						        <td align="right">0.4</td>
						        <td align="right">0.6</td>
						        <td align="right">0.5</td>
						        <td align="right">7.7</td>
						        <td align="right">1.6</td>
						    </tr>
						    <tr>
						        <td>Greece</td>
						        <td align="right">2.9</td>
						        <td align="right">2.2</td>
						        <td align="right">1.1</td>
						        <td align="right">2.4</td>
						        <td align="right">20.5</td>
						        <td align="right">2.2</td>
						        <td align="right">0.6</td>
						        <td align="right">2.2</td>
						        <td align="right">1.1</td>
						        <td align="right">2.8</td>
						    </tr>
						    <tr>
						        <td>Türkiye</td>
						        <td align="right">0.0</td>
						        <td align="right">0.2</td>
						        <td align="right">0.3</td>
						        <td align="right">0.1</td>
						        <td align="right">0.5</td>
						        <td align="right">20.5</td>
						        <td align="right">7.3</td>
						        <td align="right">0.0</td>
						        <td align="right">7.4</td>
						        <td align="right">56.6</td>
						    </tr>
						    <tr>
						        <td>Spain</td>
						        <td align="right">5.8</td>
						        <td align="right">5.5</td>
						        <td align="right">8.5</td>
						        <td align="right">16.6</td>
						        <td align="right">5.2</td>
						        <td align="right">24.8</td>
						        <td align="right">11.2</td>
						        <td align="right">11.1</td>
						        <td align="right">18.5</td>
						        <td align="right">13.7</td>
						    </tr>
						    <tr>
						        <td>Chile</td>
						        <td align="right">30.5</td>
						        <td align="right">12.9</td>
						        <td align="right">8.3</td>
						        <td align="right">7.2</td>
						        <td align="right">6.6</td>
						        <td align="right">13.9</td>
						        <td align="right">19.8</td>
						        <td align="right">11.8</td>
						        <td align="right">21.0</td>
						        <td align="right">21.9</td>
						    </tr>
						    <tr>
						        <td>Morocco</td>
						        <td align="right">12.1</td>
						        <td align="right">12.7</td>
						        <td align="right">30.8</td>
						        <td align="right">154.9</td>
						        <td align="right">45.7</td>
						        <td align="right">25.3</td>
						        <td align="right">58.4</td>
						        <td align="right">97.4</td>
						        <td align="right">77.9</td>
						        <td align="right">20.5</td>
						    </tr>
						    <tr>
						        <td>Portugal</td>
						        <td align="right">154.5</td>
						        <td align="right">110.2</td>
						        <td align="right">105.5</td>
						        <td align="right">108.0</td>
						        <td align="right">81.9</td>
						        <td align="right">85.4</td>
						        <td align="right">76.8</td>
						        <td align="right">78.7</td>
						        <td align="right">67.3</td>
						        <td align="right">68.6</td>
						    </tr>
						    <tr>
						        <td>Italy</td>
						        <td align="right">165.7</td>
						        <td align="right">160.8</td>
						        <td align="right">147.8</td>
						        <td align="right">132.8</td>
						        <td align="right">167.7</td>
						        <td align="right">171.2</td>
						        <td align="right">150.4</td>
						        <td align="right">170.8</td>
						        <td align="right">171.5</td>
						        <td align="right">185.8</td>
						    </tr>
						    <tr>
						        <td>France</td>
						        <td align="right">2008.3</td>
						        <td align="right">1848.6</td>
						        <td align="right">1816.4</td>
						        <td align="right">1821.8</td>
						        <td align="right">1660.4</td>
						        <td align="right">1057.0</td>
						        <td align="right">1442.9</td>
						        <td align="right">1288.5</td>
						        <td align="right">1480.2</td>
						        <td align="right">1276.4</td>
						    </tr>
						</tbody>
					</table>
					<table-wrap-foot>
						<fn id="TFN2">
							<p>Source: Own elaboration based on COMTRADE (2022)</p>
						</fn>
					</table-wrap-foot>
				</table-wrap-->

				
	</body>
	<back>
		<author-notes>
			<title>Authors’ contributions</title>
			<fn>Conceptualization: N. Merbah, S. Benito-Hernández</fn>
			<fn>Data curation: N. Merbah</fn>
			<fn>Formal analysis: N. Merbah, S. Benito-Hernández</fn>
			<fn>Funding acquisition: N. Merbah, S. Benito-Hernández</fn>
			<fn>Investigation: N. Merbah, S. Benito-Hernández</fn>
			<fn>Methodology:N. Merbah, S. Benito-Hernández</fn>
			<fn>Project administration: Not applicable</fn>
			<fn>Resources: N. Merbah, S. Benito-Hernández</fn>
			<fn>Software: N. Merbah</fn>
			<fn>Supervision: S. Benito-Hernández</fn>
			<fn>Validation: S. Benito-Hernández</fn>
			<fn>Visualization: Not applicable</fn>
			<fn>Writing – original draft: N. Merbah, S. Benito-Hernández</fn>
			<fn>Writing – review &amp; editing: N. Merbah, S. Benito-Hernández</fn>
		</author-notes>

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