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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">18792</article-id>
			<article-id pub-id-type="doi">10.5424/sjar/2022203-18792</article-id>
			<article-categories>
				<subj-group subj-group-type="heading">
					<subject>RESEARCH ARTICLE</subject>
				</subj-group>
			</article-categories>

			<title-group>
				<article-title>Immigration and occupational accidents: A comparative study of accident severity among foreign and Spanish citizens in the agricultural sector</article-title>
			</title-group>

			<contrib-group>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">http://orcid.org/0000-0003-2647-2041</contrib-id>
					<name>
						<surname>Baraza</surname>
						<given-names>Xavier</given-names>
					</name>
					<aff id="aff1"><institution>Faculty of Economics and Business, Universitat Oberta de Catalunya, </institution><addr-line>Rambla del Poblenou 156, 08018 Barcelona, </addr-line><country>Spain.</country></aff>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">http://orcid.org/0000-0001-6460-0281</contrib-id>
					<name>
						<surname>Cugueró-Escofet</surname>
						<given-names>Natàlia</given-names>
					</name>
					<aff id="aff2"><institution>Faculty of Economics and Business, Universitat Oberta de Catalunya, </institution><addr-line>Rambla del Poblenou 156, 08018 Barcelona, </addr-line><country>Spain.</country></aff>
				</contrib>																										
			</contrib-group>
			<pub-date pub-type="epub">
				<day>01</day>
				<month>08</month>
				<year>2022</year>
			</pub-date>			
			<pub-date pub-type="collection">
				<month>09</month>
				<year>2022</year>
			</pub-date>
			<volume>20</volume>
			<issue>3</issue>
			<elocation-id>e0105</elocation-id>
			<history>
				<date date-type="received">
					<day>30</day>
					<month>08</month>
					<year>2021</year>
				</date>
				<date date-type="accepted">
					<day>01</day>
					<month>08</month>
					<year>2022</year>
				</date>
				<date date-type="pub">
					<day>01</day>
					<month>08</month>
					<year>2022</year>
				</date>
			</history>			
			<permissions>
				<copyright-statement>&#xa9;2022 CSIC</copyright-statement>
				<copyright-year>2022</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/2022203-18792"/>
			<abstract>
				<title>Aim of study:</title>
				<p>The objective of this paper was to understand the differences between immigrants and Spanish workers in terms of duration of sick leave, for work accidents in Spain’s agricultural sector, to propose possible action plans and improve the sector’s future accident rates, with equal conditions for immigrants and Spanish workers.</p>
				<title>Area of study:</title>
				<p>The analysis was based in a total of 158,166 accidents in Spain from 2013 to 2018.</p>
				<title>Material and methods:</title>
				<p>The average number of working days lost per group (Spanish and immigrants) has been calculated for the different variables. For each case, a mean comparison analysis was performed using Student's t-test to independently compare nationals and immigrants for each variable.</p>
				<title>Main results:</title>
				<p>The agricultural sector produces a high level of severe accident rates compared to other sectors, as incident rates of death are 59.36% higher in agriculture compared to other sectors. It has the highest level of accidents for foreign workers, as immigrants presented 91.36% more accidents that Spaniards, even if accidents for immigrants are under reported, as regarding workdays lost due to injuries reported, these are statistically higher for Spanish workers. This meaning that this sector is more precarious, and this is worse for immigrants, therefore is a compelling matter of social justice that deserve the establishment of policies for government and companies to equate work conditions between immigrants and Spaniards.</p>
				<title>Research highlights:</title>
				<p>A comparative analysis of the severity of occupational accidents between Spanish and foreign workers in Spain’s agricultural sector.</p>		
			</abstract>
			<kwd-group>
				<kwd>occupational safety;</kwd>
				<kwd>agriculture;</kwd>
				<kwd>safety health;</kwd>
				<kwd>accident rate;</kwd>
			</kwd-group>										
		</article-meta>
		<funding-group id="fw-01">
			<award-group id="aw1">
				<funding-source>This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.</funding-source>
			</award-group>			
		</funding-group>		
	</front>
	
	<body>
		<sec id="sec1" sec-type="intro">
			<title>Introduction</title>
			<p>One of the most important social phenomena in the global context is the flow of immigration from developing countries, motivated by economic and employment-related issues. In 2015, approximately 244 million people were transnational migrants, about half of whom were workers, often engaged in jobs that are dangerous to their health (Moyce &amp; Schenker, 2018).</p>
			<p>Many studies have shown that the risk of fatal and non-fatal work-related injuries is higher among immigrants and minority groups, compared to the non-minority population of the host country (Ronda-Pérez <em>et al.</em>, 2012; Salvatore <em>et al.</em>, 2013; García-Arroyo &amp; Osca, 2020), and this gap increases for fatal injuries (Ahonen <em>et al.</em>, 2007). This situation is considered widespread in different developed countries, as shown by studies conducted in Canada (Gravel <em>et al.</em>, 2013), the United States (McCurdy <em>et al.</em>, 2013), Sweden (Döös <em>et al.</em>, 1994), Italy (Mastrangelo <em>et al.</em>, 2010; Salvatore <em>et al.</em>, 2013), Denmark, the United Kingdom, and the Netherlands (Guldenmund <em>et al.</em>, 2013). This phenomenon has also been extensively studied in Spain (Agudelo <em>et al.</em>, 2009; Rubiales-Gutiérrez <em>et al.</em>, 2010; Ronda-Pérez <em>et al.</em>, 2019).</p>
			<p>One of the sectors with higher accident rates among immigrant workers is agriculture. The International Labor Organization (ILO) estimates that agriculture employs about 1.3 billion people worldwide, accounting for half of the world’s workforce. Also, at least 170,000 agricultural workers die each year, which means that workers in the agricultural sector are twice as likely to die at work compared to workers in other production sectors (ILO, 2015). In the EU-28 European Union, according to data from 2017, 12.8% of fatal accidents correspond to the agricultural sector (EUROSTAT, 2018). Given the global nature of the agricultural industry, the bibliography for the study of accident rates includes research carried out in various countries, including Spain (Arana <em>et al.</em>, 2010; Baraza &amp; Cugueró-Escofet, 2021), Italy (Zambon <em>et al.</em>, 2018), Norway (Svendsen <em>et al.</em>, 2014), Great Britain (Solomon, 2002), Finland (Karttunen &amp; Rautiainen, 2013), India (Kumar &amp; Dewangan, 2009), and the United States (Patel <em>et al.</em>, 2017), among others.</p>
			<p>The specific characteristics of agricultural activity are diverse tasks, work with heavy machinery (Arana <em>et al.</em>, 2010; Rondelli <em>et al.</em>, 2018), the use of pesticides and other chemical products (Rezaei <em>et al.</em>, 2019), high physical demands, sometimes performed in extreme environmental conditions (Błażejczyk <em>et al.</em>, 2015), isolation in the workplace, low level of training (Holte &amp; Follo, 2018), etc. These characteristics involve a wide variety of occupational hazards to which agricultural workers are exposed and which often lead to accidents at work (Valero &amp; Abril, 2016) with a high mortality rate.</p>
			<p>In Spain, the foreign population in 2018 was 4,734,691, representing 10.13% of Spain’s total population of 46,722,980 (SPEE, 2019). The occupations with the greatest number of foreign contractors were agricultural labourers, at 1,237,701, followed by other occupations such as cleaning staff (256,216) and kitchen assistants (123,837). It is important to highlight that hidden work in this immigrant group may represent a significant percentage of the total (Mastrangelo <em>et al.</em>, 2010; Salami <em>et al.</em>, 2015). Turning to accidents, according to 2018 data from the Ministerio de Trabajo, Migración y Seguridad Social, Spain (INSST, 2019), the agricultural third sector has the third highest incidence rate (work accidents with sick leave per 100,000 workers) at 5,297.9, very close to the value for industry (5,536.5) and somewhat further away from the value of construction (7,982.7), which has the highest accident rate in Spain.</p>
			<p>Based on this frame of reference, this paper aims to assess the incidence and severity of occupational accidents, comparing native and immigrant workers, in the Spanish agricultural sector, for the period 2013-2018, measuring severity by the total number of days of work lost (or days of sick leave, which is the same). We hope that with this analysis we will obtain a detailed characterisation of accidents by groups, depending on several crucial variables, for both immigrant and Spanish workers. This characterisation would be useful for establishing strategies and action measures that can reduce accident rates in agriculture and determining the priority of such measures; both quantitatively (by number of accidents) and qualitatively (by the severity of the accident) and aiming to bring the rates for immigrants in line with those for Spanish workers. The assessment of the severity of accidents through the number of days of work lost due to work-related injuries has been proposed in different studies (Coleman &amp; Kerkering, 2007; Fontaneda <em>et al.</em>, 2019). Sick leave due to an accident at work entails a cost for the company, which pays the worker during this period and must replace him with a temporary worker. It influences the worker’s income, which decreases as the total time of leave increases. It also entails an expense for society in terms of financial compensation to the worker, as well as in the cost of medical assistance and rehabilitation (Bestratén &amp; Baraza, 2015).</p>
			<p>The objective of this paper was to understand the differences between immigrants and Spanish workers in terms of duration of sick leave, for work accidents in Spain’s agricultural sector. We compare the origin of the worker differentiating native Spaniards and immigrants. We proceed to compare the duration of sick leave regarding personal, business, material, temporal, and geographical variables. Finally, we take conclusions regarding all these variables to propose possible action plans and improve the sector’s future accident rates, with equal conditions for immigrants and Spanish workers.</p>
		</sec>

		<sec id="sec2" sec-type="materials|methods">

			<title>Material and methods</title>

			<p>In Spain, occupational accidents are defined as all injuries that occur to workers because of the work they perform. Since 2003, the National Institute of Occupational Safety and Health of the MTMSS of Spain collects all accidents that result in an absence from work of one or more days, by mandatory completion of an accident report form. This accident report contains company information (size, sector) and data of the injured worker (gender, age and seniority). In addition, the form incorporates additional data on the injured body part, the date of the accident, the day of the week and the time of the day of the accident, among other aspects.</p>
			<p>The design of the present study was based on previous work on accident analysis that compared the characteristics of occupational accidents between groups, with gender as the group variable (Fontaneda <em>et al.</em>, 2019). In our case we compared the characteristics of occupational accidents between immigrants and Spanish workers.</p>


			<sec id="sec2.1">
				<title>Data</title>
				<p>We selected all accidents resulting in sick leave of more than one day that occurred in Spain over the period from 2013 to 2018. We took the data from the reports that companies sent to the Ministry of Labour. There was a total of 3,420,087 reported accidents in Spain during this period, 158,166 of which were in the agricultural industry (NACE codes included are 011, 012, 0,13, 015, and 016, as we also report below) (see Table 1) (EUROSTAT, 2008). The high number of occupational accidents allows us to detect small differences that are statistically significant, therefore relevant. Although completing occupational accident forms is mandatory in Spain, it may be possible that some accidents have not been properly reported (Arana <em>et al.</em>, 2010).</p>

				<table-wrap id="t1">
					<label>Table 1</label>
					<caption>
						<title>Agriculture activities.</title>
					</caption>
					<table>
						<thead>
							<tr>
								<th align="center">Activity</th>
								<th align="center">NACE Code</th>
							</tr>																																
						</thead>
						<tbody>												
							<tr>
								<td align="center">Non-perennial crops</td>
								<td align="center">011</td>
							</tr>
							<tr>
								<td align="center">Perennial crops</td>
								<td align="center">012</td>
							</tr>
							<tr>
								<td align="center">Plant propagation</td>
								<td align="center">013</td>
							</tr>
							<tr>
								<td align="center">Agricultural production combined with livestock production</td>
								<td align="center">015</td>
							</tr>
							<tr>
								<td align="center">Support activities for agriculture, livestock and post-harvest preparation</td>
								<td align="center">016</td>
							</tr>
						</tbody>
					</table>					
				</table-wrap>
								
				<p>Additionally, Spain’s health authorities are required to diagnose the severity of each occupational accident. For this purpose, the severity of an accident can be classified into three different levels: minor, serious, or fatal. Of the total accidents analysed for the agricultural sector between 2013-18 (158,166), 156,065 accidents (98.67%) are classified as minor, 1,828 (1.16%) as serious, and finally, 273 accidents (0.17%) as fatal (Baraza &amp; Cugueró-Escofet, 2021).</p>
				<p>At the level of frequency accident, it is important to show the information in the form of total (AR<sub>total</sub>) and fatal (AR<sub>fatal</sub>) accident rates. The definition of these accident rates is as follows:</p>

				<disp-formula id="e1">
	 				<math id="mml-1">
						<mrow>
							<msub>
								<mrow>
									<mi mathvariant="normal">AR</mi>
								</mrow>
								<mrow>
									<mi mathvariant="normal">total</mi>
								</mrow>
							</msub>
							<mo>=</mo>
							<mfrac>
								<mrow>
									<msub>
										<mrow>
											<mi mathvariant="normal">number of accidents with sick leave</mi>
											<mo>&#215;</mo>
										</mrow>
										<mrow>
											<msup>
												<mrow>
													<mi mathvariant="normal">10</mi>
												</mrow>
												<mrow>
													<mi mathvariant="normal">5</mi>
												</mrow>
											</msup>
										</mrow>
									</msub>
								</mrow>
								<mrow>
									<mi mathvariant="normal">average number of exposed workers</mi>
								</mrow>
							</mfrac>									
						</mrow>	 						           						 			           						
   					</math>
   				</disp-formula>
				
				<disp-formula id="e2">
	 				<math id="mml-2">
						<mrow>
							<msub>
								<mrow>
									<mi mathvariant="normal">AR</mi>
								</mrow>
								<mrow>
									<mi mathvariant="normal">fatal</mi>
								</mrow>
							</msub>
							<mo>=</mo>
							<mfrac>
								<mrow>
									<msub>
										<mrow>
											<mi mathvariant="normal">number of fatal accidents</mi>
											<mo>&#215;</mo>
										</mrow>
										<mrow>
											<msup>
												<mrow>
													<mi mathvariant="normal">10</mi>
												</mrow>
												<mrow>
													<mi mathvariant="normal">5</mi>
												</mrow>
											</msup>
										</mrow>
									</msub>
								</mrow>
								<mrow>
									<mi mathvariant="normal">average number of exposed workers</mi>
								</mrow>
							</mfrac>									
						</mrow>	 						           						 			           						
   					</math>
   				</disp-formula>									
			</sec><!--/sec2.1-->

			<sec id="sec2.2">
				<title>Variables analysed</title>
				
				<p>The most relevant information for the comparative study between Spanish and immigrant groups are the working days lost as a cause of the accident. As the objective was to analyse average values and avoid distortions due to accidents with more lost working days, the fatal accidents that are reported with a day off work have been eliminated from the sample, as well as the 99th percentile (equivalent to more than 468, therefore the study considers accidents with one to 467 lost work days).</p>
				<p>The group variable considered was the origin of the injured worker, differentiating between native Spaniards and immigrants. The comparison variables were categorised into five groups that are explained and detailed below: (a) personal, (b) business, (c) material, (d) temporal, and (e) geographical (Camino-López <em>et al.</em>, 2008). The variables chosen are presented grouped in the proposed categories in Table 2.</p>

				<table-wrap id="t2">
					<label>Table 2</label>
					<caption>
						<title>Summary of variables.</title>
					</caption>
					<table>
						<tbody>												
							<tr>
								<td align="center" rowspan="3">(a) Personal</td>
								<td align="center">Gender</td>
							</tr>
							<tr>
								<td align="center">Age</td>
							</tr>
							<tr>
								<td align="center">Nationality</td>
							</tr>
							<tr>
								<td align="center" rowspan="2">(b) Business</td>
								<td align="center">Company staff</td>
							</tr>
							<tr>
								<td align="center">Length of service</td>
							</tr>
							<tr>
								<td align="center" rowspan="2">(c) Material</td>
								<td align="center">Deviation</td>
							</tr>
							<tr>
								<td align="center">Injury</td>
							</tr>
							<tr>
								<td align="center" rowspan="2">(d) Temporal</td>
								<td align="center">Day of the week</td>
							</tr>
							<tr>
								<td align="center">Days of absence</td>
							</tr>
							<tr>
								<td align="center">(e) Geographic</td>
								<td align="center">Region of Spain</td>
							</tr>										
						</tbody>
					</table>					
				</table-wrap>				
				<p>Personal variables (a) are the characteristics of the injured worker, including age and nationality. Business variables (b) include the type of contract and the seniority of the worker involved in the accident, the number of workers in the company employing him, and the agricultural activity he performs. Material variables (c) include aspects that are unique to the accident, such as how it happened, and the type of injury suffered. Temporal variables (d) refer to the moment when the accident took place (day of the week and hour of the day). The geographical variable (e) used in this study describes the severity of accidents according to the geographical area where they occurred, in this case the regions of Spain.</p>			

			</sec><!--/sec2.2-->

			<sec id="sec2.3">
				<title>Statical analysis</title>
				<p>The statistical package used for the analysis is Stata version16/MP. The average number of working days lost per group (Spanish and immigrants) was calculated according to gender, age, size of the company, seniority of the worker, the cause of the accident, injuries resulting from the accident, the day of the week, hour of the day and the region of Spain in which the accident occurred. For each case, a mean comparison analysis is performed using Student’s t-test for independent comparing nationals and immigrants for each variable. We based our analysis on the method used by Fontaneda <em>et al.</em> (2019), who used the days lost as a proxy to determine the severity of the accident, so as the independent variable measuring this severity. We then compared the days lost (proxy for severity) between the two groups we were interested, immigrants vs nationals. And we compared these days lost between the two groups, by using several dependent variables (gender, age, size of the company, seniority of the worker, the cause of the accidents, injuries resulted, day of the week, hour of the day and the region of Spain the accident occurred) to examine significant differences of days lost/severity between the two groups. We examined which variables were determining when we studied the severity of the accidents comparing immigrants <em>vs</em> nationals.</p>			
			</sec><!--/sec2.3-->

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

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

			<p>The agricultural sector in Spain has the third highest number of workplace accidents, representing 4.62% of all accidents during the period between 2013 and 2018, just after the construction and industrial sectors (Baraza &amp; Cugueró-Escofet, 2021). However, we should be cautious about this information, as it is possible that the real accident rate in this sector was higher than reported to the official body; specifically, in the period 2004 to 2008, one in-depth study estimated that only 61.85% of all accidents in the agricultural sector in Spain were reported (Arana <em>et al.</em>, 2010). In the case of fatal accidents, the incidence rates of death are 59.36% higher in agriculture compared to the fatal accident rate of all sectors. This information determines the importance of and need for a detailed analysis of this sector in terms of its accident rates and the severity of accidents (Baraza &amp; Cugueró-Escofet, 2020).</p>
			<p>The present work analysed in detail the situation of the immigrant group in agriculture from the point of view of its accident rate compared to native workers with the aim of observing possible differences that have already been highlighted in other studies (Sousa <em>et al.</em>, 2010; Martín-Román &amp; Moral, 2014; Callejón-Ferre <em>et al.</em>, 2015).</p>
			<p>Table 3 compares the total and fatal accident rate between Spanish workers and foreign workers, observing much higher incidence rates for migrant workers compared to natives.</p>

				<table-wrap id="t3">
					<label>Table 3</label>
					<caption>
						<title>Accidents in agriculture comparing Spanish and foreigners, 2013-2018, Spain.</title>
					</caption>
					<table>
						<thead>
							<tr>
								<th align="center"></th>
								<th align="center">2013</th>
								<th align="center">2014</th>
								<th align="center">2015</th>
								<th align="center">2016</th>
								<th align="center">2017</th>
								<th align="center">2018</th>
								<th align="center">Total</th>							
							</tr>																																
						</thead>
						<tbody>
							<tr>
								<td colspan="8"><strong>Spanish workers</strong></td>
							</tr>
							<tr>
								<td>Total number of workers from Spain</td>
								<td align="center">769,500</td>
								<td align="center">783,600</td>
								<td align="center">751,575	</td>
								<td align="center">773,225</td>
								<td align="center">783,800</td>
								<td align="center">761,825</td>
								<td align="center">4,623,525</td>	
							</tr>
							<tr>
								<td>Total number of accidents from Spain</td>
								<td align="center">16,166</td>
								<td align="center">18,089</td>
								<td align="center">19,183</td>
								<td align="center">19,542</td>
								<td align="center">21,345</td>
								<td align="center">21,061</td>
								<td align="center">115,386</td>
							</tr>
							<tr>
								<td>Total number of fatal accidents from Spain</td>
								<td align="center">25</td>
								<td align="center">30</td>
								<td align="center">39</td>
								<td align="center">26</td>
								<td align="center">34</td>
								<td align="center">41</td>
								<td align="center">195</td>	
							</tr>
							<tr>
								<td>Total accident rate (TAR)</td>
								<td align="center">2,100.8</td>
								<td align="center">2,308.5</td>
								<td align="center">2,552.4</td>
								<td align="center">2,527.3</td>
								<td align="center">2,723.3</td>
								<td align="center">2,764.5</td>
								<td align="center">2,495.6</td>	
							</tr>
							<tr>
								<td>Fatal accident rate (FAR)</td>
								<td align="center">3.25</td>
								<td align="center">3.83</td>
								<td align="center">5.19</td>
								<td align="center">3.36</td>
								<td align="center">4.34</td>
								<td align="center">5.38</td>
								<td align="center">4.22</td>	
							</tr>
							<tr>
								<td colspan="8"><strong>Foreign workers</strong></td>
							</tr>
							<tr>
								<td>Total number of workers foreign countries</td>
								<td align="center">231,375</td>
								<td align="center">206,775</td>
								<td align="center">222,075</td>
								<td align="center">224,050</td>
								<td align="center">232,325</td>
								<td align="center">223,675</td>
								<td align="center">1,340,275</td>	
							</tr>
							<tr>
								<td>Total number of accidents foreign countries</td>
								<td align="center">5,573</td>
								<td align="center">6,190</td>
								<td align="center">7,091</td>
								<td align="center">7,533</td>
								<td align="center">8,267</td>
								<td align="center">8,126</td>
								<td align="center">42,780</td>	
							</tr>
							<tr>
								<td>Total number of fatal accidents foreign countries</td>
								<td align="center">11</td>
								<td align="center">11</td>
								<td align="center">9</td>
								<td align="center">23</td>
								<td align="center">9</td>
								<td align="center">15</td>
								<td align="center">78</td>	
							</tr>
							<tr>
								<td>Total accident rate (TAR)</td>
								<td align="center">2,408.6</td>
								<td align="center">2,993.6</td>
								<td align="center">3,193.1</td>
								<td align="center">3,362.2</td>
								<td align="center">3,558.4</td>
								<td align="center">3,633.0</td>
								<td align="center">3,191.9</td>	
							</tr>
							<tr>
								<td>Fatal accident rate (FAR)</td>
								<td align="center">4.75</td>
								<td align="center">5.32</td>
								<td align="center">4.05</td>
								<td align="center">10.27</td>
								<td align="center">3.87</td>
								<td align="center">6.71</td>
								<td align="center">5.82</td>	
							</tr>														
						</tbody>
					</table>				
				</table-wrap>

			<p>A very high cumulative difference was observed for the period studied among immigrant workers, who presented 91.35% more accidents, a situation that worsens in the case of fatal accidents, which was 116.8% higher for immigrant workers. This situation can be associated with lower job security for immigrant workers (Gravel <em>et al.</em>, 2013; Guldenmund <em>et al.</em>, 2013; Salvatore <em>et al.</em>, 2013; Moyce &amp; Schenker, 2018), their unfavourable contractual conditions (Mastrangelo <em>et al.</em>, 2010) and the greater occupation of immigrants in higher risk jobs (Mekkodathil <em>et al.</em>, 2016).</p>
			<p>As observed in Table 4, the number of workdays lost due to injury was statistically higher for Spanish workers than for foreigners (<em>p</em>&lt;0.005).</p>

				<table-wrap id="t4">
					<label>Table 4</label>
					<caption>
						<title>Average duration of sick leave due to accidents by nationality and year in agriculture, Spain (2013-2018). SD: standard deviation.</title>
					</caption>
					<table>
						<thead>
							<tr>
								<th align="center">Year</th>
								<th align="center" colspan="2">No. of accidents</th>
								<th align="center" colspan="2">No. of lost working days</th>
								<th align="center" colspan="2">SD</th>
								<th align="center">Statistical significance (<em>p</em>-value)</th>
								<th align="center" colspan="2">95% confidence intervals</th>
								<th align="center">t-Student</th>
								<th align="center">df</th>														
							</tr>
							<tr>
								<th align="center"></th>
								<th align="center">Spain</th>
								<th align="center">Foreign</th>
								<th align="center">Spain</th>
								<th align="center">Foreign</th>
								<th align="center">Spain</th>
								<th align="center">Foreign</th>
								<th align="center"></th>
								<th align="center">Lower</th>
								<th align="center">Upper</th>
								<th align="center"></th>
								<th align="center"></th>																						
							</tr>																																							
						</thead>
						<tbody>
							<tr>
								<td align="center">2013</td>
								<td align="center">15,058</td>
								<td align="center">5,171</td>
								<td align="center">33.84</td>
								<td align="center">28.97</td>
								<td align="center">48.65</td>
								<td align="center">42.87</td>
								<td align="center">0.000</td>
								<td align="center">-6.361</td>
								<td align="center">-3.385</td>
								<td align="center">-6.419</td>
								<td align="center">20,677</td>
							</tr>
							<tr>
								<td align="center">2014</td>
								<td align="center">17,223</td>
								<td align="center">5,732</td>
								<td align="center">33.83</td>
								<td align="center">28.59</td>
								<td align="center">48.41</td>
								<td align="center">42.24</td>
								<td align="center">0.000</td>
								<td align="center">-6.642</td>
								<td align="center">-3.835</td>
								<td align="center">-7.318</td>
								<td align="center">22,953</td>
							</tr>
							<tr>
								<td align="center">2015</td>
								<td align="center">18,324</td>
								<td align="center">6,537</td>
								<td align="center">33.81</td>
								<td align="center">28.98</td>
								<td align="center">48.54</td>
								<td align="center">42.57</td>
								<td align="center">0.000</td>
								<td align="center">-6.154</td>
								<td align="center">-3.497</td>
								<td align="center">-7.119</td>
								<td align="center">24,859</td>	
							</tr>
							<tr>
								<td align="center">2016</td>
								<td align="center">18,457</td>
								<td align="center">6,858</td>
								<td align="center">34.28</td>
								<td align="center">28.62</td>
								<td align="center">50.25</td>
								<td align="center">42.59</td>
								<td align="center">0.000</td>
								<td align="center">-6.997</td>
								<td align="center">-4.321</td>
								<td align="center">-8.286</td>
								<td align="center">25,313</td>	
							</tr>
							<tr>
								<td align="center">2017</td>
								<td align="center">19,891</td>
								<td align="center">7,332</td>
								<td align="center">33.84</td>
								<td align="center">28.92</td>
								<td align="center">49.06</td>
								<td align="center">42.79</td>
								<td align="center">0.000</td>
								<td align="center">-6.196</td>
								<td align="center">-3.654</td>
								<td align="center">-7.597</td>
								<td align="center">27,221</td>	
							</tr>
							<tr>
								<td align="center">2018</td>
								<td align="center">20,119</td>
								<td align="center">7,475</td>
								<td align="center">33.98</td>
								<td align="center">28.17</td>
								<td align="center">49.79</td>
								<td align="center">40.71</td>
								<td align="center">0.000</td>
								<td align="center">-7.067</td>
								<td align="center">-4.544</td>
								<td align="center">-9.023</td>
								<td align="center">27,592</td>	
							</tr>														
						</tbody>
					</table>				
				</table-wrap>

			<p>The results of Table 4 are consistent with other previous studies that have determined a higher incidence of accidents for immigrant workers, but with lower rates of sick leave and a higher prevalence of workplace presenteeism (Mateo, 2017). This factor is related to poorer working conditions for immigrant workers and less favourable benefits during the recovery period (Solé &amp; Rodríguez, 2010). Furthermore, foreign workers often do not have timely safety and health information and are not aware of their rights and protections available at work (Smith &amp; Mustard, 2010).</p>
			<p>This previous analysis shows the need to study the comparative accident rate for Spanish workers and foreigners in the agriculture sector in terms of severity, in order to establish action plans for workers, companies and the government. For this, it will be necessary to obtain information on the “how”, “who”, “when”, “where” and “why” of the accidents that occurred and the consequences for each of the stakeholders.</p>

			<sec id="sec3.1">
				<title>Personal variables</title>
				<p>Agriculture is a significantly male-dominated sector (Alamgir <em>et al.</em>, 2009): during the period 2013-2018, for every 100 accidents in the agricultural sector in Spain, 20 involved women and 80 involved men. Table 5 shows that the average number of days lost due to work accidents was significantly higher in the case of Spanish workers compared to foreigners for both men and women, although the difference was greater in the female group.</p>

				<table-wrap id="t5">
					<label>Table 5</label>
					<caption>
						<title>Average duration of sick leave due to accidents by nationality and gender in agriculture, Spain (2013-2018). SD: standard deviation.</title>
					</caption>
					<table>
						<thead>
							<tr>
								<th align="center">Sex</th>
								<th align="center" colspan="2">No. of accidents (average exposed workers)</th>
								<th align="center" colspan="2">No. of lost working days</th>
								<th align="center" colspan="2">SD</th>
								<th align="center"><em>p</em>-value</th>
								<th align="center" colspan="2">95% confidence intervals</th>
								<th align="center">t-Student</th>
								<th align="center">df</th>
							</tr>
							<tr>
								<th align="center"></th>
								<th align="center">Spain</th>
								<th align="center">Foreign</th>
								<th align="center">Spain</th>
								<th align="center">Foreign</th>
								<th align="center">Spain</th>
								<th align="center">Foreign</th>
								<th align="center"></th>
								<th align="center">Lower</th>
								<th align="center">Upper</th>
								<th align="center"></th>
								<th align="center"></th>																						
							</tr>																																							
						</thead>
						<tbody>
							<tr>
								<td align="center">Men</td>
								<td align="center">87,678 (3,379,500)</td>
								<td align="center">31,740 (1,038,000)</td>
								<td align="center">33.71</td>
								<td align="center">29.16</td>
								<td align="center">48.96</td>
								<td align="center">43.20</td>
								<td align="center">0.000</td>
								<td align="center">-5.162</td>
								<td align="center">-3.938</td>
								<td align="center">-14.576</td>
								<td align="center">119,146</td>
							</tr>
							<tr>
								<td align="center">Women</td>
								<td align="center">21,844 (1,244,000)</td>
								<td align="center">7,635 (301,650)</td>
								<td align="center">34.80</td>
								<td align="center">26.74</td>
								<td align="center">49.88</td>
								<td align="center">38.07</td>
								<td align="center">0.000</td>
								<td align="center">-9.288</td>
								<td align="center">-6.833</td>
								<td align="center">-12.860</td>
								<td align="center">29,477</td>
							</tr>
						</tbody>
					</table>					
				</table-wrap>

				<p>In gender, the difference comes mainly from the fact that immigrant women showed fewer days lost compared to their male counterparts showing a gender effect against immigrant women. This aspect is consistent with other studies that have analysed occupational accidents in relation to gender; if immigrants are exposed to worse conditions, for immigrant females this is even worse, and one conclusion may be that women come back to work without being completely recovered from the accident (Lin <em>et al.</em>, 2008; Fontaneda <em>et al.</em>, 2019).</p>
				<p>A continuous increase in the duration of sick leave can be observed both for native and migrant workers as they age (see Table 6). A further increase in this duration can be observed for the groups aged over 55 in the case of Spanish workers. The results for the days of work lost by age of the injured worker were in line with those of other studies, highlighting a longer duration of sick leave among older workers (Blanch <em>et al.</em>, 2009; Fontaneda <em>et al.</em>, 2019) and, specifically, in the agricultural sector (Pickett <em>et al.</em>, 2008). The increase in the duration of sick leave with age could be due to a reduction in musculoskeletal, sensory, and motor abilities among older people, which may affect women disproportionately (Laflamme <em>et al.</em>, 1996). In general, for older people recovery is usually slower (Margolis, 2010).</p>

					<table-wrap id="t6">
						<label>Table 6</label>
						<caption>
							<title>Average duration of sick leave due to accidents by nationality and age in agriculture, Spain (2013-2018). SD: standard deviation.</title>
						</caption>
						<table>
							<thead>
								<tr>
									<th align="center">Age</th>
									<th align="center" colspan="2">No. of accidents (average exposed workers)</th>
									<th align="center" colspan="2">No. of lost working days</th>
									<th align="center" colspan="2">SD</th>
									<th align="center"><em>p</em>-value</th>
									<th align="center" colspan="2">95% confidence intervals</th>
									<th align="center">t-Student</th>
									<th align="center">df</th>
								</tr>
								<tr>
									<th align="center"></th>
									<th align="center">Spain</th>
									<th align="center">Foreign</th>
									<th align="center">Spain</th>
									<th align="center">Foreign</th>
									<th align="center">Spain</th>
									<th align="center">Foreign</th>
									<th align="center"></th>
									<th align="center">Lower</th>
									<th align="center">Upper</th>
									<th align="center"></th>
									<th align="center"></th>																						
								</tr>																																							
							</thead>
							<tbody>
								<tr>
									<td align="center">24 or less</td>
									<td align="center">13,063 (284,532)</td>
									<td align="center">3,628 (121,892)</td>
									<td align="center">22.30</td>
									<td align="center">21.00</td>
									<td align="center">32.53</td>
									<td align="center">29.82</td>
									<td align="center">0.029</td>
									<td align="center">-2.483</td>
									<td align="center">-0.131</td>
									<td align="center">-2.179</td>
									<td align="center">16,689</td>
								</tr>
								<tr>
									<td align="center">25-34</td>
									<td align="center">25,823 (898,290)</td>
									<td align="center">10,960 (342,691)</td>
									<td align="center">26.81</td>
									<td align="center">25.73</td>
									<td align="center">39.37</td>
									<td align="center">37.80</td>
									<td align="center">0.014</td>
									<td align="center">-1.952</td>
									<td align="center">-0.214</td>
									<td align="center">-2.442</td>
									<td align="center">36,781</td>
								</tr>
								<tr>
									<td align="center">35-44</td>
									<td align="center">29,286 (1,309,349)</td>
									<td align="center">14,854 (470,273)</td>
									<td align="center">32.39</td>
									<td align="center">29.16</td>
									<td align="center">46.28</td>
									<td align="center">42.42</td>
									<td align="center">0.000</td>
									<td align="center">-4.121</td>
									<td align="center">-2.343</td>
									<td align="center">-7.128</td>
									<td align="center">44,138</td>
								</tr>
								<tr>
									<td align="center">45-54</td>
									<td align="center">27,163 (1,295,048)</td>
									<td align="center">7,586 (292,685)</td>
									<td align="center">40.19</td>
									<td align="center">32.62</td>
									<td align="center">55.93</td>
									<td align="center">47.80</td>
									<td align="center">0.000</td>
									<td align="center">-8.948</td>
									<td align="center">-6.186</td>
									<td align="center">-10.740</td>
									<td align="center">34,747</td>
								</tr>
								<tr>
									<td align="center">55 or more</td>
									<td align="center">14,187 (836,306)</td>
									<td align="center">2,077 (112,734)</td>
									<td align="center">48.82</td>
									<td align="center">40.13</td>
									<td align="center">62.68</td>
									<td align="center">54.60</td>
									<td align="center">0.000</td>
									<td align="center">-11.534</td>
									<td align="center">-5.850</td>
									<td align="center">-5.996</td>
									<td align="center">16,262</td>
								</tr>																								
							</tbody>
						</table>			
					</table-wrap>

					<p>Comparison of Spanish workers with immigrants by age group shows that there was a significant difference (p&lt;0.005) in favour of Spanish workers who have more days of sick leave. This difference increased with age: 1.30 days for workers under 24, 1.08 days for ages 25 to 34; 3.23 days for ages 35 to 44; 7.57 for ages 35 to 54; and 8.69 for those 55 and older.</p>
					<p>Table 7 presents Morocco as the country of origin with the highest number of accidents, with 14,850 (37.9%), followed by Romania (9,210 accidents, 23.5%) and Ecuador (4,221 accidents; 10.8%). These nationalities coincide with highest immigration to Spain, due to the scarcity of native workers in the agricultural sector (Gadea <em>et al.</em>, 2015).</p>

					<table-wrap id="t7">
						<label>Table 7</label>
						<caption>
							<title>Total and fatal accidents in agriculture for foreign workers in Spain (2013-2018).</title>
						</caption>
						<table>
							<thead>
								<tr>
									<th align="center">Country</th>
									<th align="center">Total accidents</th>
									<th align="center">%TAR <sup>[1]</sup></th>
									<th align="center">Fatal accidents</th>
									<th align="center">%FAR <sup>[2]</sup></th>
									<th align="center" colspan="2">No. days lost</th>
								</tr>
								<tr>
									<th align="center"></th>
									<th align="center"></th>
									<th align="center"></th>
									<th align="center"></th>
									<th align="center"></th>
									<th align="center">Average</th>
									<th align="center">SE <sup>[3]</sup></th>
								</tr>															
							</thead>
							<tbody>
								<tr>
									<td>Morocco</td>
									<td align="center">14,850</td>
									<td align="center">37.9</td>
									<td align="center">9</td>
									<td align="center">18.4</td>
									<td align="center">28.27</td>
									<td align="center">0.18</td>
								</tr>
								<tr>
									<td>Romania</td>
									<td align="center">9,210</td>
									<td align="center">23.5</td>
									<td align="center">16</td>
									<td align="center">32.7</td>
									<td align="center">29.80</td>
									<td align="center">0.19</td>
								</tr>
								<tr>
									<td>Ecuador</td>
									<td align="center">4,221</td>
									<td align="center">10.8</td>
									<td align="center">5</td>
									<td align="center">10.2</td>
									<td align="center">23.60</td>
									<td align="center">0.23</td>
								</tr>
								<tr>
									<td>Bulgaria</td>
									<td align="center">1,434</td>
									<td align="center">3.7</td>
									<td align="center">10</td>
									<td align="center">20.4</td>
									<td align="center">30.80</td>
									<td align="center">0.47</td>
								</tr>
								<tr>
									<td>Bolivia</td>
									<td align="center">1,045</td>
									<td align="center">2.7</td>
									<td align="center">0</td>
									<td align="center">0.0</td>
									<td align="center">25.56</td>
									<td align="center">0.43</td>
								</tr>
								<tr>
									<td>Pakistan</td>
									<td align="center">942</td>
									<td align="center">2.4</td>
									<td align="center">2</td>
									<td align="center">4.1</td>
									<td align="center">31.57</td>
									<td align="center">0.68</td>
								</tr>
								<tr>
									<td>Senegal</td>
									<td align="center">940</td>
									<td align="center">2.4</td>
									<td align="center">1</td>
									<td align="center">2.0</td>
									<td align="center">26.50</td>
									<td align="center">0.54</td>
								</tr>
								<tr>
									<td>Mali</td>
									<td align="center">747</td>
									<td align="center">1.9</td>
									<td align="center">1</td>
									<td align="center">2.0</td>
									<td align="center">24.44</td>
									<td align="center">0.79</td>
								</tr>
								<tr>
									<td>Algeria</td>
									<td align="center">657</td>
									<td align="center">1.7</td>
									<td align="center">2</td>
									<td align="center">4.1</td>
									<td align="center">29.09</td>
									<td align="center">0.89</td>
								</tr>
								<tr>
									<td>Colombia</td>
									<td align="center">597</td>
									<td align="center">1.5</td>
									<td align="center">0</td>
									<td align="center">0.0</td>
									<td align="center">25.99</td>
									<td align="center">0.34</td>
								</tr>
								<tr>
									<td>Poland</td>
									<td align="center">509</td>
									<td align="center">1.3</td>
									<td align="center">1</td>
									<td align="center">2.0</td>
									<td align="center">30.14</td>
									<td align="center">0.70</td>
								</tr>
								<tr>
									<td>Portugal</td>
									<td align="center">475</td>
									<td align="center">1.2</td>
									<td align="center">1</td>
									<td align="center">2.0</td>
									<td align="center">33.57</td>
									<td align="center">0.52</td>
								</tr>
								<tr>
									<td>Ukraine</td>
									<td align="center">346</td>
									<td align="center">0.9</td>
									<td align="center">1</td>
									<td align="center">2.0</td>
									<td align="center">30.86</td>
									<td align="center">0.70</td>
								</tr>
								<tr>
									<td>Gambia</td>
									<td align="center">334</td>
									<td align="center">0.9</td>
									<td align="center">0</td>
									<td align="center">0.0</td>
									<td align="center">25.92</td>
									<td align="center">1.10</td>
								</tr>
								<tr>
									<td>Lithuania</td>
									<td align="center">290</td>
									<td align="center">0.7</td>
									<td align="center">0</td>
									<td align="center">0.0</td>
									<td align="center">31.95</td>
									<td align="center">1.51</td>
								</tr>
								<tr>
									<td>India</td>
									<td align="center">230</td>
									<td align="center">0.6</td>
									<td align="center">0</td>
									<td align="center">0.0</td>
									<td align="center">24.74</td>
									<td align="center">0.82</td>
								</tr>
								<tr>
									<td>Ghana</td>
									<td align="center">224</td>
									<td align="center">0.6</td>
									<td align="center">0</td>
									<td align="center">0.0</td>
									<td align="center">24.90</td>
									<td align="center">1.03</td>
								</tr>
								<tr>
									<td>Peru</td>
									<td align="center">175</td>
									<td align="center">0.4</td>
									<td align="center">0</td>
									<td align="center">0.0</td>
									<td align="center">24.05</td>
									<td align="center">0.43</td>
								</tr>
								<tr>
									<td>Guinea</td>
									<td align="center">156</td>
									<td align="center">0.4</td>
									<td align="center">0</td>
									<td align="center">0.0</td>
									<td align="center">27.20</td>
									<td align="center">1.68</td>
								</tr>
								<tr>
									<td>Paraguay</td>
									<td align="center">146</td>
									<td align="center">0.4</td>
									<td align="center">0</td>
									<td align="center">0.0</td>
									<td align="center">24.32</td>
									<td align="center">0.66</td>
								</tr>
								<tr>
									<td>Mauritania</td>
									<td align="center">113</td>
									<td align="center">0.3</td>
									<td align="center">0</td>
									<td align="center">0.0</td>
									<td align="center">24.52</td>
									<td align="center">1.59</td>
								</tr>
								<tr>
									<td>Rest of countries</td>
									<td align="center">1,531</td>
									<td align="center">3.9</td>
									<td align="center"></td>
									<td align="center"></td>
									<td align="center"></td>
									<td align="center"></td>
								</tr>																																																								
							</tbody>
						</table>
						<table-wrap-foot>
							<fn id="TFN7">
								<p><sup>[1]</sup> %TAR = (Total accidents of the country / Total accidents) × 100. <sup>[2]</sup> %FAR = (Fatal accidents of the country / Total fatal accidents) × 100. <sup>[3]</sup> SE =standard error.</p>
							</fn>
						</table-wrap-foot>				
					</table-wrap>

					<p>There were no significant differences with the number of days lost due to an accident at work, exception for Ecuador that is well below the average (27.48 days), with 23.60. From the analysis of fatal accidents, looking at the difference between the fatal accident rate minus the total accident rate (%FAR-%TAR), there is a significant reduction for Morocco (-19.5%), which is offset by the case of Romania (+9.1%) and Bulgaria (+16.7%). This data indicates that Easter Europe countries have more serious accidents, an aspect reflected when observing the number of days lost due to an accident (29.80 days for Romania and 30.80 days for Bulgaria). The special incidence of severity of accidents for immigrants from Eastern Europe has already been studied in other countries (Guldenmund <em>et al.</em>, 2013). The rest of the countries present a difference rate (%FAR-%TAR) around 0, which indicates a logical proportionality between the number of total accidents and fatalities.</p>			
				</sec><!--/sec3.1-->

				<sec id="sec3.2">
					<title>Business variables</title>
					<p>Table 8 shows the average number of days lost due to work accidents in agriculture by nationality and size of company. Lack of experience is frequently cited as one of the causes generating the highest frequency of accidents in different sectors (Cattledge <em>et al.</em>, 1996; Bande &amp; López Mourelo, 2015).</p>

					<table-wrap id="t8">
						<label>Table 8</label>
						<caption>
							<title>Average duration of sick leave due to accidents by nationality and company staff in agriculture, Spain (2013-2018). SD: standard deviation.</title>
						</caption>
						<table>
							<thead>
								<tr>
									<th align="center">No. of workers</th>
									<th align="center" colspan="2">No. of accidents</th>
									<th align="center" colspan="2">No. of lost working days</th>
									<th align="center" colspan="2">SD</th>
									<th align="center"><em>p</em>-value</th>
									<th align="center" colspan="2">95% confidence intervals</th>
									<th align="center">t-Student</th>
									<th align="center">df</th>
								</tr>
								<tr>
									<th align="center"></th>
									<th align="center">Spain</th>
									<th align="center">Foreign</th>
									<th align="center">Spain</th>
									<th align="center">Foreign</th>
									<th align="center">Spain</th>
									<th align="center">Foreign</th>
									<th align="center"></th>
									<th align="center">Lower</th>
									<th align="center">Upper</th>
									<th align="center"></th>
									<th align="center"></th>
								</tr>																																							
							</thead>
							<tbody>
								<tr>
									<td>1-5</td>
									<td align="center">36,102</td>
									<td align="center">6,971</td>
									<td align="center">41.98</td>
									<td align="center">33.82</td>
									<td align="center">56.09</td>
									<td align="center">49.69</td>
									<td align="center">0.000</td>
									<td align="center">-9.565</td>
									<td align="center">-6.739</td>
									<td align="center">-11.308</td>
									<td align="center">43,072</td>									
								</tr>
								<tr>
									<td>6-10</td>
									<td align="center">11,609</td>
									<td align="center">3,257</td>
									<td align="center">33.66</td>
									<td align="center">29.67</td>
									<td align="center">49.08</td>
									<td align="center">43.81</td>
									<td align="center">0.000</td>
									<td align="center">-5.489</td>
									<td align="center">-2.120</td>
									<td align="center">-4.189</td>
									<td align="center">14,864</td>
								</tr>
								<tr>
									<td>11-25</td>
									<td align="center">14,600</td>
									<td align="center">4,832</td>
									<td align="center">31.80</td>
									<td align="center">30.18</td>
									<td align="center">47.18</td>
									<td align="center">44.68</td>
									<td align="center">0.036</td>
									<td align="center">-3.140</td>
									<td align="center">-0.110</td>
									<td align="center">-2.102</td>
									<td align="center">19,430</td>
								</tr>
								<tr>
									<td>26-50</td>
									<td align="center">9,835</td>
									<td align="center">4,281</td>
									<td align="center">31.29</td>
									<td align="center">28.12</td>
									<td align="center">47.48</td>
									<td align="center">42.07</td>
									<td align="center">0.000</td>
									<td align="center">-4.814</td>
									<td align="center">-1.518</td>
									<td align="center">-3.766</td>
									<td align="center">14,114</td>
								</tr>
								<tr>
									<td>51-100</td>
									<td align="center">9,432</td>
									<td align="center">4,428</td>
									<td align="center">29.45</td>
									<td align="center">27.74</td>
									<td align="center">44.39</td>
									<td align="center">40.66</td>
									<td align="center">0.030</td>
									<td align="center">-3.250</td>
									<td align="center">-0.162</td>
									<td align="center">-2.166</td>
									<td align="center">13,858</td>
								</tr>
								<tr>
									<td>101-250</td>
									<td align="center">11,778</td>
									<td align="center">6,184</td>
									<td align="center">28.68</td>
									<td align="center">25.64</td>
									<td align="center">42.34</td>
									<td align="center">36.39</td>
									<td align="center">0.000</td>
									<td align="center">-4.290</td>
									<td align="center">-1.803</td>
									<td align="center">-4.802</td>
									<td align="center">17,960</td>
								</tr>
								<tr>
									<td>Over 250</td>
									<td align="center">16,166</td>
									<td align="center">9,152</td>
									<td align="center">26.15</td>
									<td align="center">26.45</td>
									<td align="center">39.13</td>
									<td align="center">38.19</td>
									<td align="center">0.562</td>
									<td align="center">-0.700</td>
									<td align="center">1.289</td>
									<td align="center">0.580</td>
									<td align="center">25,316</td>
								</tr>																																																								
							</tbody>
						</table>			
					</table-wrap>

					<p>Regarding the size of the company, in all cases, the average number of workdays lost due to accidents among Spanish workers was significantly higher than that of foreigners. The highest average number of workdays lost due to accidents occurs in companies with fewer than 5 workers. The number of days lost decreases as the size of the company increases, especially in companies with more than 100 workers and even more in the largest companies (more than 250 workers). This situation shows how workers in larger companies are less likely to suffer accidents, and that, if they occur, they are less serious (Salminen <em>et al.</em>, 1993; Fabiano <em>et al.</em>, 2004). These differences by company size reflect work risks, the efficiency of safety programmes, and many factors in the work environment that are clearly more favourable in larger companies (Jeong, 1999).</p>
					<p>The comparison of the number of days lost due to an accident between Spanish workers and immigrants according to the size of the company shows in all cases a significant difference in most cases in favour of Spanish workers who have more lost days. This difference decreases as the size of the companies increases, going from 8.16 days in companies with less than 5 workers and reaching an equilibrium situation (there is no difference) in companies with more than 250 workers. Larger companies have better formal justice and equality conditions as they are easily forced by authorities to comply with the law. This type of formal justice does not need to depend on managerial decisions, as legal requirements are clear, and therefore obliging larger companies to fulfil these legal requirements is usually easier as this aspect is usually watched closely by unions and workers’ representatives. This means better working conditions both for Spanish workers and for immigrants, and similar efficiency of safety programmes for both groups. In general, managerial decision-making in terms of generating justice in decisions is greatly dependent on informal justice, but once this informal managerial justice combines with social pressure and translates into formal aspects of required enforcement, then these few, clear requirements are precisely the ones that guarantee equal conditions of justice for all (Cugueró-Escofet &amp; Rosanas, 2013; Cugueró-Escofet &amp; Rosanas, 2020). This is the case of legal enforcement of safe conditions at work. And as large companies are better-aligned with legal requirements such as workplace safety, this means that larger companies are better at providing equal condition for nationals and foreigners.</p>
					<p>Table 9 shows the effect of the worker’s experience on the severity of accidents, differentiating between Spanish and immigrant workers.</p>

					<table-wrap id="t9">
						<label>Table 9</label>
						<caption>
							<title>Average duration of sick leave due to accidents by nationality and length of service in agriculture, Spain (2013-2018). SD: standard deviation.</title>
						</caption>
						<table>
							<thead>
								<tr>
									<th align="center">Length of service</th>
									<th align="center" colspan="2">No. of accidents</th>
									<th align="center" colspan="2">No. of lost working days</th>
									<th align="center" colspan="2">SD</th>
									<th align="center"><em>p</em>-value</th>
									<th align="center" colspan="2">95% confidence intervals</th>
									<th align="center">t-Student</th>
									<th align="center">df</th>
								</tr>
								<tr>
									<th align="center"></th>
									<th align="center">Spain</th>
									<th align="center">Foreign</th>
									<th align="center">Spain</th>
									<th align="center">Foreign</th>
									<th align="center">Spain</th>
									<th align="center">Foreign</th>
									<th align="center"></th>
									<th align="center">Lower</th>
									<th align="center">Upper</th>
									<th align="center"></th>
									<th align="center"></th>
								</tr>																																							
							</thead>
							<tbody>
								<tr>
									<td>&lt; 1 month</td>
									<td align="center">33,349</td>
									<td align="center">10,919</td>
									<td align="center">31.48</td>
									<td align="center">29.69</td>
									<td align="center">46.90</td>
									<td align="center">43.54</td>
									<td align="center">0.000</td>
									<td align="center">-2.789</td>
									<td align="center">-0.796</td>
									<td align="center">-3.527</td>
									<td align="center">42,266</td>								
								</tr>
								<tr>
									<td>1-3 months</td>
									<td align="center">26,922</td>
									<td align="center">12,231</td>
									<td align="center">29.58</td>
									<td align="center">27.80</td>
									<td align="center">43.76</td>
									<td align="center">40.52</td>
									<td align="center">0.000</td>
									<td align="center">-2.604</td>
									<td align="center">-0.775</td>
									<td align="center">-3.623</td>
									<td align="center">39,151</td>
								</tr>
								<tr>
									<td>4-12 months</td>
									<td align="center">16,591</td>
									<td align="center">8,470</td>
									<td align="center">30.37</td>
									<td align="center">27.57</td>
									<td align="center">45.50</td>
									<td align="center">41.18</td>
									<td align="center">0.000</td>
									<td align="center">-3.952</td>
									<td align="center">-1.644</td>
									<td align="center">-4.753</td>
									<td align="center">25,059</td>
								</tr>
								<tr>
									<td>1-2 years</td>
									<td align="center">4,998</td>
									<td align="center">2.160</td>
									<td align="center">33.26</td>
									<td align="center">28.80</td>
									<td align="center">48.14</td>
									<td align="center">44.14</td>
									<td align="center">0.000</td>
									<td align="center">-6.835</td>
									<td align="center">-2.092</td>
									<td align="center">-3.690</td>
									<td align="center">7,156</td>
								</tr>
								<tr>
									<td>3-4 years</td>
									<td align="center">5,628</td>
									<td align="center">1,926</td>
									<td align="center">35.76</td>
									<td align="center">28.85</td>
									<td align="center">49.23</td>
									<td align="center">42.21</td>
									<td align="center">0.000</td>
									<td align="center">-9.369</td>
									<td align="center">-4.449</td>
									<td align="center">-5.506</td>
									<td align="center">7,553</td>
								</tr>
								<tr>
									<td>5-10 years</td>
									<td align="center">10,128</td>
									<td align="center">2,735</td>
									<td align="center">42.27</td>
									<td align="center">29.86</td>
									<td align="center">56.03</td>
									<td align="center">43.76</td>
									<td align="center">0.000</td>
									<td align="center">-14.670</td>
									<td align="center">-10.137</td>
									<td align="center">-10.727</td>
									<td align="center">12,861</td>
								</tr>
								<tr>
									<td>11-30 years</td>
									<td align="center">10,278</td>
									<td align="center">662</td>
									<td align="center">46.81</td>
									<td align="center">35.60</td>
									<td align="center">59.75</td>
									<td align="center">51.39</td>
									<td align="center">0.000</td>
									<td align="center">-15.781</td>
									<td align="center">-6.553</td>
									<td align="center">-4.717</td>
									<td align="center">10,938</td>
								</tr>
								<tr>
									<td>&gt; 30 years</td>
									<td align="center">1,628</td>
									<td align="center">2</td>
									<td align="center">54.89</td>
									<td align="center">30.00</td>
									<td align="center">68.15</td>
									<td align="center">4.59</td>
									<td align="center">0.606</td>
									<td align="center">-110.433</td>
									<td align="center">69.656</td>
									<td align="center">-0.516</td>
									<td align="center">1,628</td>
								</tr>			
							</tbody>
						</table>			
					</table-wrap>

					<p>In reference to the effect of the worker’s experience on the severity of accidents, in both groups, Spanish workers and immigrants, a greater number of accidents was observed in workers with less experience (up to three months). This aspect is related to the job insecurity of the sector and the short-term contracts associated with harvesting campaigns (Gadea <em>et al.</em>, 2015). The number of accidents fell substantially in workers with 1 to 4 years of experience, which may be related to the departure from the agricultural sector of a significant part of the workers who have been involved in the sector only in a circumstantial way. Finally, an increase in the number of accidents from 5 years and up to 30 years of experience is once again noted, a group that corresponds to those who have consolidated their employment in the agricultural sector.</p>
					<p>The comparison of the number of days lost due to an accident between Spanish workers and immigrants based on the experience of the injured worker shows in all cases a significant difference (p&lt;0.005) in favour of Spanish workers, who have more days of sick leave. Due to the lack of significance, the case of workers with more than 30 years of experience is not considered in this case. More experience should imply more training and experience in the work being done and, consequently, a lower probability of accidents (Llacuna <em>et al.</em>, 2013).</p>			
				</sec><!--/sec3.2-->

				<sec id="sec3.3">
					<title>Material variables</title>
					<p>Table S1 [suppl] (ordered by the total number of accidents) shows the aggregate data of the deviations causing accidents in the agricultural sector. The classification of the deviations follows the methodology of European Statistics on Accidents at Work, or ESAW (EUROSTAT, 2013).</p>
					<p>The type of accident has been frequently discussed in the literature (Melchior &amp; Ruviaro, 2019). In the case of agriculture, the main types of accident that have been analysed are those that occur due to overturning during the handling of heavy machinery (tractors), since these accidents are more serious (Arana <em>et al.</em>, 2010; Valero &amp; Abril, 2016) and are related to older and more experienced workers, who are usually the workers who use tractors (Goldcamp <em>et al.</em>, 2004; Arana <em>et al.</em>, 2010).</p>
					<p>Accidents caused by the “loss (total or partial) of control of the means of transport or cargo (with or without motor)” (code 042) are those that present the greatest severity in terms of fatal accidents (a total number of 107 fatal, which 50 were not in itinere) that are not included in this study. In the case of non-fatal accidents, the number of days lost due to an accident in the case of Spanish workers is 46.00 days on average and that of foreign workers 42.33 days. These results may be conditioned by the underreporting of accidents in the agriculture sector; according to the study by Arana <em>et al.</em> (2010), not all the fatal accidents associated with the use of the tractor have been reported, and it establishes that in the period 2004 -2008 only 61.88% of the total number of the accidents that occurred in Spain were officially registered.</p>
					<p>Other deviations that should be highlighted in terms of the number of days lost due to accidents correspond to falls at different levels and at the same level. “Fall of a person from a height” (code 051) with 52.70 days lost on average by Spanish workers and 41.53 by immigrant workers; “Fall of a person at the same level” (code 052) with 43.28 days in Spanish workers and 35.44 in the case of immigrant workers. A significant difference (p&lt;0.005) could be observed in accidents due to falls at the same level or at a different level in favour of Spanish workers, who had more days of sick leave. In the case of accidents due to the “loss (total or partial) of control of the means of transport or cargo (with or without motor)” the conclusion is that there was no difference between the days lost by Spanish and foreign workers. For this last type of accident, there are several studies that work to improve the intrinsic safety conditions of this machinery (Di Nocera <em>et al.</em>, 2018; Rondelli <em>et al.</em>, 2018; Kim <em>et al.</em>, 2019).</p>
					<p>Only the case of “Caught between objects” (code 063) shows a greater number of days lost due to accidents in favour of foreign workers (43.46 days lost) compared to Spanish counterpart (42.66 days lost), although the difference was not significant.</p>
					<p>Table S2 [suppl] shows the aggregate data of injuries derived from the various accidents that occurred in the agriculture sector. Injuries are categorised according to ESAW (EUROSTAT, 2013).</p>
					<p>In reference to the type of injuries, in accidents with major damages, the difference in days lost due to sick leave is lower than in less significant accidents. The situations of “bone crushing” (code 020) and “amputations” (code 040) of greater severity presented minor differences between Spanish and foreign workers, 81.77 days lost compared to 75.43 days respectively in the case of “bone crushing” and 87.42 days lost compared to 84.06 days lost in the case of “amputations”.</p>
					<p>Conversely, accidents with less serious consequences (number of days lost due to accidents) show a greater difference between Spanish and foreign workers in favour of the former group. This is the case of “extreme temperatures effects” (code 100) with 42.00 days lost and 18.63 days lost and the case of “effects of noise, vibration and pressure” (code 090) with 28.81 days lost and 12.85 days lost, and the case of “drowning and asphyxiation” (code 080) with 17.36 days lost and 7.63 days lost, respectively.</p>
					<p>These results indicate that, for the same injury derived from the accident, in general terms, Spanish workers take more days off work with less intrinsic severity compared to immigrant workers. This situation is related to a greater labour presenteeism (Mateo, 2017) associated with ignorance of their rights and protections at work (Smith &amp; Mustard, 2010) and to more unfavourable benefits during the period of sick leave (Solé &amp; Rodríguez, 2010) for the case of immigrants. This situation cannot occur in more severe accidents, associated with an inability to work, which places foreigners nearer to the same level as nationals.</p>
					<p>In Spain, accidents classified as “Heart attacks, strokes, and other non-traumatic diseases” (code 130) are considered work accidents, except when there is evidence to consider otherwise. In this case, no difference was observed between the days lost due to an accident between the two groups under study, an aspect that is related to the less clear working nature of the accident. The average number of days lost by Spanish workers was 180.47 days and by foreigners 182.50.</p>			
				</sec><!--/sec3.3-->

				<sec id="sec3.4">
					<title>Temporal variables</title>
					<p>Table 10 presents data on the average number of days of work lost by nationality by the day of the week the accidents occur.</p>

					<table-wrap id="t10">
						<label>Table 10</label>
						<caption>
							<title>Average duration of sick leave due to accidents by nationality and day of the week in agriculture, Spain (2013-2018). SD: standard deviation.</title>
						</caption>
						<table>
							<thead>
								<tr>
									<th align="center">Day of the week</th>
									<th align="center" colspan="2">No. of accidents</th>
									<th align="center" colspan="2">No. of lost working days</th>
									<th align="center" colspan="2">SD</th>
									<th align="center"><em>p</em>-value</th>
									<th align="center" colspan="2">95% confidence intervals</th>
									<th align="center">t-Student</th>
									<th align="center">df</th>
								</tr>
								<tr>
									<th align="center"></th>
									<th align="center">Spain</th>
									<th align="center">Foreign</th>
									<th align="center">Spain</th>
									<th align="center">Foreign</th>
									<th align="center">Spain</th>
									<th align="center">Foreign</th>
									<th align="center"></th>
									<th align="center">Lower</th>
									<th align="center">Upper</th>
									<th align="center"></th>
									<th align="center"></th>
								</tr>																																							
							</thead>
							<tbody>
								<tr>
									<td>Monday</td>
									<td align="center">22,345</td>
									<td align="center">7,899</td>
									<td align="center">32.31</td>
									<td align="center">28.04</td>
									<td align="center">46.83</td>
									<td align="center">42.29</td>
									<td align="center">0.000</td>
									<td align="center">-5.441</td>
									<td align="center">-3.097</td>
									<td align="center">-7.138</td>
									<td align="center">30,242</td>
								</tr>
								<tr>
									<td>Tuesday</td>
									<td align="center">19,498</td>
									<td align="center">7,012</td>
									<td align="center">32.92</td>
									<td align="center">27.80</td>
									<td align="center">48.63</td>
									<td align="center">42.70</td>
									<td align="center">0.000</td>
									<td align="center">-6.409</td>
									<td align="center">-3.836</td>
									<td align="center">-7.805</td>
									<td align="center">26,508</td>
								</tr>
								<tr>
									<td>Wednesday</td>
									<td align="center">18,917</td>
									<td align="center">6,964</td>
									<td align="center">33.23</td>
									<td align="center">28.29</td>
									<td align="center">49.10</td>
									<td align="center">41.42</td>
									<td align="center">0.000</td>
									<td align="center">-6.241</td>
									<td align="center">-3.650</td>
									<td align="center">-7.483</td>
									<td align="center">25,879</td>
								</tr>
								<tr>
									<td>Thursday</td>
									<td align="center">17,649</td>
									<td align="center">6,563</td>
									<td align="center">34.42</td>
									<td align="center">28.08</td>
									<td align="center">49.61</td>
									<td align="center">41.57</td>
									<td align="center">0.000</td>
									<td align="center">-7.682</td>
									<td align="center">-4.986</td>
									<td align="center">-9.211</td>
									<td align="center">24,210</td>
								</tr>
								<tr>
									<td>Friday</td>
									<td align="center">17,207</td>
									<td align="center">6,248</td>
									<td align="center">34.94</td>
									<td align="center">29.70</td>
									<td align="center">49.90</td>
									<td align="center">41.62</td>
									<td align="center">0.000</td>
									<td align="center">-6.630</td>
									<td align="center">-3.861</td>
									<td align="center">-7.424</td>
									<td align="center">23.453</td>
								</tr>
								<tr>
									<td>Saturday</td>
									<td align="center">10,301</td>
									<td align="center">3,492</td>
									<td align="center">36.58</td>
									<td align="center">31.24</td>
									<td align="center">51.51</td>
									<td align="center">43.83</td>
									<td align="center">0.000</td>
									<td align="center">-7.246</td>
									<td align="center">-3.433</td>
									<td align="center">-5.488</td>
									<td align="center">13,791</td>
								</tr>
								<tr>
									<td>Sunday</td>
									<td align="center">3,605</td>
									<td align="center">927</td>
									<td align="center">38.46</td>
									<td align="center">32.09</td>
									<td align="center">52.75</td>
									<td align="center">42.21</td>
									<td align="center">0.000</td>
									<td align="center">-10.103</td>
									<td align="center">-2.643</td>
									<td align="center">-3.350</td>
									<td align="center">4,530</td>
								</tr>			
							</tbody>
						</table>			
					</table-wrap>

					<p>In reference to the day of accident occur (see Table S3 [suppl]), the average duration of sick leave steadily increased as the week progressed from Monday to Sunday, and this was the case for both groups (nationals and immigrants). We also found statistically significant differences for both groups when comparing successive days of the week (p&lt;0.005) and confirming an increase in the number of days lost in both cases. This situation of greater number of days of absence in accidents that occurred during the weekend can be considered in relation to injuries that are difficult to diagnose (Moral de Blas <em>et al.</em>, 2012; Fontaneda <em>et al.</em>, 2019).</p>
					<p>Table 10 also shows the evolution of the number of accidents, highlighting the following aspects: first, the reduction of these during the weekend; second, the highest number of accidents registered on Mondays; and third, from Tuesday to Friday the number of accidents remains stable. This situation can be considered normal as established by various studies carried out in various industrial sectors such as construction (Camino-López <em>et al.</em>, 2008). The higher accident rate on Monday can be attributed to the so-called “Monday effect”, associated with the circumstance that some of the accidents that occur on weekends are not reported until Monday, the first working day of the week, due to the worker’s social benefits in relation to the insurance company (Campolieti &amp; Hyatt, 2006; Butler <em>et al.</em>, 2013).</p>
					<p>Table S3 [suppl] shows the duration of sick leave due to accidents comparing the time of the day the accident occurred. The differences between Spanish and foreign workers were statistically significant (p&lt;0.005), except in accidents that occurred between 2 a.m. and 7 a.m. and between 10 p.m. and midnight. In all time slots, the average number of lost workdays for foreign workers was less than for Spanish workers.</p>			
				</sec><!--/sec3.4-->

				<sec id="sec3.5">
					<title>Geographical variable</title>
					<p>Table S4 [suppl] shows that the distribution of accidents is not the same in all the regions of Spain. There was a greater number of accidents concentrated in the southern (Andalusia) and eastern (Valencia and Murcia) areas of Spain, coinciding with the main agricultural areas. In most regions the number of days lost due to accidents was higher for Spanish workers, except in some regions, such as Madrid or Valencia, but without statistically significant results regarding the difference presented. Some regions stand out with greater differences between the number of days of sick leave between nationals and foreigners, such as Aragón (with a difference of 9.09 days), even if in this case more accidents have been reported for foreign workers than for Spanish ones. Another example is Castilla y León (with a difference of 16.29 days); however, in this case the total number of accidents for Spanish workers was greater compared to foreigners. The different behaviours observed depending on the region should be subjected to more detailed analysis.</p>			
				</sec><!--/sec3.5-->
			</sec>

 				

			<sec id="sec4" sec-type="discussion">
				<title>Conclusions</title>
				<p>Agricultural sector presents high levels of immigration, poor working conditions, and high potential risks due to the nature of the work: the use of heavy machinery, dangerous materials, and in general hard outdoor labour, where employment also tends to be precarious.</p>
				<p>Governments should be aware that this sector is more precarious, and this is even worse for immigrant workers. This sector should improve to arrive to benchmark conditions of other sectors as a matter of social justice. This is so because, immigrants are a big percentage of total workforce in agriculture compared to other sectors, so precarious conditions are worse in this sector compared to other sectors due also to the fact of immigrants being higher in relative percentage. Then, implementing specific plans to make the whole sector aware of this may result in improving conditions for immigrant workers and therefore improve the sector as whole. The role of government bodies must be especially sensitive in this sector, which has the third highest number of accidents in Spain but ranks first in terms of severity, including death due to an occupational accident. The establishment of specific action plans and an increase in ad-hoc inspection for this sector is a factor that would reduce accidents once specific measures are established.</p>
				<p>Findings expose those workers tend to be over-confident in their ability to perform their jobs as they are get older. Consequently, they underestimate the nature of the dangers involved and take more risks that lead to more severe accidents. It is imperative to increase ways of making workers aware of the dangers, which may involve the government requiring companies to train the workers at risk of over-confidence.</p>
				<p>Then, our conclusions, may offer some guidance for designing training plans and improving the information that should be available about the risks to which agricultural workers are exposed. Specifically, companies (and governments as to reinforcing this) should understand that workers as get older tend to be over-confident and therefore should continuously being trained over the years to understand the dangers of their jobs.</p>
				<p>Finally, an important element is the analysis of the possible underreporting of accidents, which according to some studies is high, and could even be hiding a situation of precarious workers, especially foreigners. If 27.02% of workers in the sector are non-nationals and accidents are under-reported, this figure can be expected to increase, creating a vicious circle of precarity that is unjust and should be denounced.</p>

				<sec id="sec4.1">
					<title>Limitations</title>
					<p>This study analyses accidents in the agriculture sector in Spain in the period 2013-2018, but its conclusions may be different in other countries of the European Union or the rest of the world. The MTMSS Workplace Accident Registry system collects the total number of reported accidents, but it may be that some have not been reported, and therefore have not been considered in this study.</p>
					<p>Only accidents that have led to at least one day’s absence from work have been considered, which means that accidents without a personal injury are not analysed in this paper. Likewise, we analysed the severity of accidents once they have occurred, but not the probability of their occurrence. The nature of the data used allowed us to study and compare groups of accidents in agriculture sector that have already occurred, hence, to show the probability that once the accident occurs in that specific category, it may be minor, serious, very serious or fatal.</p>			
				</sec><!--/sec4.1-->				

		</sec><!--/sec4 -->				
	</body>

	<back>
		<ack>
			<title>Acknowledgments</title>
			<p>The authors would like to thank the Subdirección General de Estadísticas [Sub-Directorate General for Statistics] of the Ministerio de Empleo y Seguridad Social [Labour Ministry], Spain, for providing access to the anonymous data on occupational accidents.</p>
		</ack>			
		<author-notes>
			<title>Author's Contributions</title>
			<fn>Conceptualization: X. Baraza, N. Cugueró-Escofet.</fn>
			<fn>Data curation: X. Baraza, N. Cugueró-Escofet.</fn>
			<fn>Formal analysis: X. Baraza, N. Cugueró-Escofet.</fn>
			<fn>Investigation: X. Baraza, N. Cugueró-Escofet.</fn>
			<fn>Methodology: X. Baraza, N. Cugueró-Escofet.</fn>
			<fn>Software: X. Baraza, N. Cugueró-Escofet.</fn>
			<fn>Supervision: X. Baraza, N. Cugueró-Escofet.</fn>
			<fn>Validation: X. Baraza, N. Cugueró-Escofet.</fn>
			<fn>Writing – original draft: X. Baraza, N. Cugueró-Escofet.</fn>
			<fn>Writing – review &amp; editing: X. Baraza, N. Cugueró-Escofet.</fn>
		</author-notes>
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