<?xml version='1.0' encoding='UTF-8'?><codeBook xmlns="ddi:codebook:2_5" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="ddi:codebook:2_5 https://ddialliance.org/Specification/DDI-Codebook/2.5/XMLSchema/codebook.xsd" version="2.5"><docDscr><citation><titlStmt><titl>Replication Data for: Consumer Preferences and Market Segmentation for Differentiated Beef with Less Environmental Impact</titl><IDNo agency="DOI">doi:10.7910/DVN/FMGTQF</IDNo></titlStmt><distStmt><distrbtr source="archive">Harvard Dataverse</distrbtr><distDate>2020-11-18</distDate></distStmt><verStmt source="archive"><version date="2021-03-08" type="RELEASED">2</version></verStmt><biblCit>Enciso, Karen; Burkart, Stefan, 2020, "Replication Data for: Consumer Preferences and Market Segmentation for Differentiated Beef with Less Environmental Impact", https://doi.org/10.7910/DVN/FMGTQF, Harvard Dataverse, V2, UNF:6:1QP7sQYCNlbVUtWiLKSlbQ== [fileUNF]</biblCit></citation></docDscr><stdyDscr><citation><titlStmt><titl>Replication Data for: Consumer Preferences and Market Segmentation for Differentiated Beef with Less Environmental Impact</titl><IDNo agency="DOI">doi:10.7910/DVN/FMGTQF</IDNo></titlStmt><rspStmt><AuthEnty affiliation="International Center for Tropical Agriculture - CIAT">Enciso, Karen</AuthEnty><AuthEnty affiliation="International Center for Tropical Agriculture - CIAT">Burkart, Stefan</AuthEnty></rspStmt><prodStmt><producer abbr="CIAT">International Center for Tropical Agriculture</producer><prodDate>2018-04-01</prodDate><grantNo agency="Sistema General de Regalías (SGR), Colombia">A256</grantNo><grantNo agency="LivestockPlus Project of the CGIAR Research Program CCAFS">G335</grantNo><grantNo agency="CGIAR Research Program Livestock &amp; Fish">A122</grantNo></prodStmt><distStmt><distrbtr source="archive">Harvard Dataverse</distrbtr><distrbtr abbr="CIAT" URI="http://ciat.cgiar.org/">International Center for Tropical Agriculture</distrbtr><contact affiliation="International Center for Tropical Agriculture - CIAT" email="CIAT-DM@cgiar.org">CIAT Data and Research Methods</contact><depositr>Bejarano Lozano, Yesica</depositr><depDate>2018-08-13</depDate></distStmt><holdings URI="https://doi.org/10.7910/DVN/FMGTQF"/></citation><stdyInfo><subject><keyword xml:lang="en">Agricultural Sciences</keyword><keyword xml:lang="en">Earth and Environmental Sciences</keyword><keyword xml:lang="en">Social Sciences</keyword><keyword>Consumer segmentation</keyword><keyword vocab="AGROVOC" vocabURI="http://aims.fao.org/aos/agrovoc/c_2344">Product differentiation</keyword><keyword>Improved forage</keyword><keyword>Eco-efficiency</keyword><keyword>Sustainable beef</keyword><keyword vocab="AGROVOC" vocabURI="http://aims.fao.org/aos/agrovoc/c_24420">Environmental impact</keyword><keyword>Incentives for technology adoption</keyword><keyword vocab="AGROVOC" vocabURI="http://aims.fao.org/aos/agrovoc/c_9fbe9719">Supply chain</keyword><keyword vocab="Research Region">Latin America and the Caribbean</keyword><keyword vocab="Research Lever">Crops for Nutrition &amp; Health</keyword><topcClas vocab="AGROVOC" vocabURI="http://aims.fao.org/aos/agrovoc/c_331557">Livestock production</topcClas><topcClas vocab="AGROVOC" vocabURI="http://aims.fao.org/aos/agrovoc/c_1666">Climate change</topcClas><topcClas vocab="AGROVOC" vocabURI="http://aims.fao.org/aos/agrovoc/c_2344">Product differentiation</topcClas><topcClas vocab="AGROVOC" vocabURI="http://aims.fao.org/aos/agrovoc/c_9fbe9719">Supply chain</topcClas><topcClas>Consumer behavior</topcClas></subject><abstract>The aim of this study was to define consumer segments interested in purchasing beef with less environmental impact (derived from production systems with improved forages) and to determine their willingness to pay (WTP) for such products. A semi-structured questionnaire was applied to a total of 354 randomly selected meat consumers in Cali (Valle del Cauca Department), Popayán (Cauca Department) and in the Municipalities of Mercaderes and Patía (both Cauca Department) in Colombia.</abstract><sumDscr><timePrd cycle="P1" event="start" date="2016-05-01">2016-05-01</timePrd><timePrd cycle="P1" event="end" date="2016-06-30">2016-06-30</timePrd><collDate cycle="P1" event="start" date="2016-05-01">2016-05-01</collDate><collDate cycle="P1" event="end" date="2016-06-30">2016-06-30</collDate><nation>Colombia</nation><nation>Colombia</nation><nation>Colombia</nation><nation>Colombia</nation><geogCover>Cali</geogCover><geogCover>Valle del Cauca</geogCover><geogCover>Popayán</geogCover><geogCover>Cauca</geogCover><geogCover>Patía</geogCover><geogCover>Cauca</geogCover><geogCover>Cauca</geogCover><geogCover>Mercaderes</geogCover><dataKind>Survey Data</dataKind><dataKind>Socio-economic Data</dataKind></sumDscr></stdyInfo><method><dataColl><sources/></dataColl><anlyInfo/></method><dataAccs><setAvail/><useStmt><disclaimer>Whilst utmost care has been taken by CIAT and data authors while collecting and compiling the data, the data is however offered "as is" with no express or implied warranty. In no event shall the data authors, CIAT, or relevant funding agencies be liable for any actual, incidental or consequential damages arising from use of the data.
&lt;BR/>&lt;BR/>
By using the CIAT Dataverse, the user expressly acknowledges that the Data may contain some nonconformities, defects, or errors. No warranty is given that the data will meet the user's needs or expectations or that all nonconformities, defects, or errors can or will be corrected. 
&lt;BR/>&lt;BR/>
The user should always verify actual data; therefore the user bears all responsibility in determining whether the data is fit for the user’s intended use.  The user of the data should use the related publications as a baseline for their analysis whenever possible. Doing so will be an added safeguard against misinterpretation of the data. Related publications are listed in the metadata section of the Dataverse study.</disclaimer></useStmt><notes type="DVN:TOU" level="dv">&lt;P>&lt;a rel="license" href="http://creativecommons.org/licenses/by/4.0/" target="_blank">&lt;img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by/4.0/88x31.png" />&lt;/a>&lt;br />
These data and documents are licensed under a &lt;a href="http://creativecommons.org/licenses/by/4.0/" target="_blank"> Creative Commons Attribution 4.0 International license.&lt;/a> You may copy, distribute and transmit the data as long as you acknowledge the source through proper &lt;a href="http://best-practices.dataverse.org/data-citation/" target="_blank">data citation&lt;/a>.&lt;/P>
&lt;Strong>Disclaimer&lt;/Strong>
&lt;P>
Whilst utmost care has been taken by CIAT and data authors while collecting and compiling the data, the data is however offered "as is" with no express or implied warranty. In no event shall the data authors, CIAT, or relevant funding agencies be liable for any actual, incidental or consequential damages arising from use of the data.
&lt;BR/>&lt;BR/>
By using the CIAT Dataverse, the user expressly acknowledges that the Data may contain some nonconformities, defects, or errors. No warranty is given that the data will meet the user's needs or expectations or that all nonconformities, defects, or errors can or will be corrected. 
&lt;BR/>&lt;BR/>
The user should always verify actual data; therefore the user bears all responsibility in determining whether the data is fit for the user’s intended use.  The user of the data should use the related publications as a baseline for their analysis whenever possible. Doing so will be an added safeguard against misinterpretation of the data. Related publications are listed in the metadata section of the Dataverse study.
&lt;/P></notes></dataAccs><othrStdyMat><relStdy>Charry, Andrés; Enciso, Karen; Díaz, Manuel; Burkart, Stefan, 2021, "Replication Data for: Sustainable intensification of beef production in Colombia—chances for product differentiation and price premiums", &lt;a href="https://doi.org/10.7910/DVN/CJQWGU">, Harvard Dataverse,  UNF:6:3sbcVayTjguGjlaMFopJ6Q== [fileUNF]</relStdy><relPubl><citation><titlStmt><titl>Enciso, Karen; Burkart, Stefan; Charry, Andres; Puerta Rodriguez, Cristhian David; Muñoz Quiceno, Jhon Jairo; Ruiz, Lisbeth Rocio; Gutierrez Solis, Jhon Freddy; Diaz, Manuel; Vivas Quila, Nelson José; Albán Lopez, Noé; Morales Velasco, Sandra; Peters, Michael. 2016. Consumer preferences and market segmentation for differentiated beef with less environmental impact. Centro Internacional de Agricultura Tropical (CIAT), Vienna, AT. 1 p. (Poster presented at Tropentag 2016: “Solidarity in a competing world fair use of resources" September 18-21, 2016, Vienna, Austria)</titl><IDNo agency="handle">10568/77026</IDNo></titlStmt><biblCit>Enciso, Karen; Burkart, Stefan; Charry, Andres; Puerta Rodriguez, Cristhian David; Muñoz Quiceno, Jhon Jairo; Ruiz, Lisbeth Rocio; Gutierrez Solis, Jhon Freddy; Diaz, Manuel; Vivas Quila, Nelson José; Albán Lopez, Noé; Morales Velasco, Sandra; Peters, Michael. 2016. Consumer preferences and market segmentation for differentiated beef with less environmental impact. Centro Internacional de Agricultura Tropical (CIAT), Vienna, AT. 1 p. (Poster presented at Tropentag 2016: “Solidarity in a competing world fair use of resources" September 18-21, 2016, Vienna, Austria)</biblCit></citation><ExtLink URI="http://hdl.handle.net/10568/77026"/></relPubl><relPubl><citation><titlStmt><titl>Enciso K, Burkart S. 2017. Preferencias de consumidores y segmentación del mercado para una carne diferenciada con menor impacto ambiental. Cali, Colombia: Centro Internacional de Agricultura Tropical (CIAT)</titl><IDNo agency="handle">10568/89187</IDNo></titlStmt><biblCit>Enciso K, Burkart S. 2017. Preferencias de consumidores y segmentación del mercado para una carne diferenciada con menor impacto ambiental. Cali, Colombia: Centro Internacional de Agricultura Tropical (CIAT)</biblCit></citation><ExtLink URI="http://hdl.handle.net/10568/89187"/></relPubl><relPubl><citation><titlStmt><titl>Charry, Andres; Burkart, Stefan; Narjes, Manuel; Enciso, Karen; Puerta Rodriguez, Cristhian David; Muñoz Quiceno, Jhon Jairo; Rocio Ruiz, Lisbeth; Gutierrez Solis, Jhon Freddy; Vivas Quila, Nelson José; Albán Lopez, Noé; Morales Velasco, Sandra; Diaz, Manuel; Peters, Michael. 2016. Willingness to pay for beef with a reduced environmental footprint in Cali, Colombia . Centro Internacional de Agricultura Tropical (CIAT), Vienna, AT. 1 p. (Poster presented at Tropentag 2016: “Solidarity in a competing world fair use of resources" September 18-21, 2016, Vienna, Austria).</titl><IDNo agency="handle">10568/77024</IDNo></titlStmt><biblCit>Charry, Andres; Burkart, Stefan; Narjes, Manuel; Enciso, Karen; Puerta Rodriguez, Cristhian David; Muñoz Quiceno, Jhon Jairo; Rocio Ruiz, Lisbeth; Gutierrez Solis, Jhon Freddy; Vivas Quila, Nelson José; Albán Lopez, Noé; Morales Velasco, Sandra; Diaz, Manuel; Peters, Michael. 2016. Willingness to pay for beef with a reduced environmental footprint in Cali, Colombia . Centro Internacional de Agricultura Tropical (CIAT), Vienna, AT. 1 p. (Poster presented at Tropentag 2016: “Solidarity in a competing world fair use of resources" September 18-21, 2016, Vienna, Austria).</biblCit></citation><ExtLink URI="http://hdl.handle.net/10568/77024"/></relPubl><relPubl><citation><titlStmt><titl>Charry A, Burkart, S. 2017. Disposición a pagar por carne de res con menor huella ambiental y bienestar animal en Cali. Cali, Colombia: Centro Internacional de Agricultura Tropical (CIAT)</titl><IDNo agency="handle">10568/89186</IDNo></titlStmt><biblCit>Charry A, Burkart, S. 2017. Disposición a pagar por carne de res con menor huella ambiental y bienestar animal en Cali. Cali, Colombia: Centro Internacional de Agricultura Tropical (CIAT)</biblCit></citation><ExtLink URI="http://hdl.handle.net/10568/89186"/></relPubl><relPubl><citation><titlStmt><titl>Enciso, Karen; Burkart, Stefan; Charry, Andres; Puerta Rodriguez, Cristhian David; Muñoz Quiceno, Jhon Jairo; Ruiz, Lisbeth Rocio; Gutierrez Solis, Jhon Freddy; Diaz, Manuel; Vivas Quila, Nelson José; Albán Lopez, Noé; Morales Velasco, Sandra; Peters, Michael. 2016. Consumer preferences and market segmentation for differentiated beef with less environmental impact . Centro Internacional de Agricultura Tropical (CIAT), Vienna, AT. 1 p. (Poster presented at Tropentag 2016: “Solidarity in a competing world fair use of resources" September 18-21, 2016, Vienna, Austria)</titl><IDNo agency="handle">10568/77026</IDNo></titlStmt><biblCit>Enciso, Karen; Burkart, Stefan; Charry, Andres; Puerta Rodriguez, Cristhian David; Muñoz Quiceno, Jhon Jairo; Ruiz, Lisbeth Rocio; Gutierrez Solis, Jhon Freddy; Diaz, Manuel; Vivas Quila, Nelson José; Albán Lopez, Noé; Morales Velasco, Sandra; Peters, Michael. 2016. Consumer preferences and market segmentation for differentiated beef with less environmental impact . Centro Internacional de Agricultura Tropical (CIAT), Vienna, AT. 1 p. (Poster presented at Tropentag 2016: “Solidarity in a competing world fair use of resources" September 18-21, 2016, Vienna, Austria)</biblCit></citation><ExtLink URI="https://hdl.handle.net/10568/77026"/></relPubl><relPubl><citation><titlStmt><titl>Enciso K, Burkart S. 2017. Preferencias de consumidores y segmentación del mercado para una carne diferenciada con menor impacto ambiental. Cali, Colombia: Centro Internacional de Agricultura Tropical (CIAT)</titl><IDNo agency="handle">10568/77026</IDNo></titlStmt><biblCit>Enciso K, Burkart S. 2017. Preferencias de consumidores y segmentación del mercado para una carne diferenciada con menor impacto ambiental. Cali, Colombia: Centro Internacional de Agricultura Tropical (CIAT)</biblCit></citation><ExtLink URI="https://hdl.handle.net/10568/77026"/></relPubl></othrStdyMat></stdyDscr><fileDscr ID="f3393791" URI="https://ec2-52-207-99-79.compute-1.amazonaws.com/api/access/datafile/3393791"><fileTxt><fileName>02. ConsumidoresII.tab</fileName><dimensns><caseQnty>354</caseQnty><varQnty>23</varQnty></dimensns><fileType>text/tab-separated-values</fileType></fileTxt><notes level="file" type="VDC:UNF" subject="Universal Numeric Fingerprint">UNF:6:1QP7sQYCNlbVUtWiLKSlbQ==</notes></fileDscr><dataDscr><var ID="v19641010" name="City" intrvl="discrete"><location fileid="f3393791"/><labl level="variable">City</labl><sumStat type="mean">1.867231638418079</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">354.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="stdev">1.027607423588003</sumStat><sumStat type="max">4.0</sumStat><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:RroaomxzRhRRUcsOA5ec5g==</notes></var><var ID="v19641014" name="Gen" intrvl="discrete"><location fileid="f3393791"/><labl level="variable">Gen</labl><sumStat type="max">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="vald">353.0</sumStat><sumStat type="mean">0.6827195467422097</sumStat><sumStat type="min">0.0</sumStat><sumStat type="stdev">0.46607826240954703</sumStat><sumStat type="invd">1.0</sumStat><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:x1c587bG7DrtgmORwkNrsw==</notes></var><var ID="v19641015" name="Age" intrvl="discrete"><location fileid="f3393791"/><labl level="variable">Age</labl><sumStat type="mode">.</sumStat><sumStat type="mean">44.22636103151862</sumStat><sumStat type="max">81.0</sumStat><sumStat type="vald">349.0</sumStat><sumStat type="min">18.0</sumStat><sumStat type="medn">43.0</sumStat><sumStat type="stdev">14.971152095052332</sumStat><sumStat type="invd">5.0</sumStat><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:QUkIZxe2y8gmoMEpWSNYyg==</notes></var><var ID="v19641012" name="Study" intrvl="discrete"><location fileid="f3393791"/><labl level="variable">Study</labl><sumStat type="mode">.</sumStat><sumStat type="vald">353.0</sumStat><sumStat type="min">0.0</sumStat><sumStat type="max">8.0</sumStat><sumStat type="stdev">1.8098908796214788</sumStat><sumStat type="invd">1.0</sumStat><sumStat type="medn">4.0</sumStat><sumStat type="mean">4.243626062322946</sumStat><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:g7aHIYj89+kVypEq0flklw==</notes></var><var ID="v19640996" name="Strata" intrvl="discrete"><location fileid="f3393791"/><labl level="variable">Strata</labl><sumStat type="min">1.0</sumStat><sumStat type="stdev">1.2812443336307524</sumStat><sumStat type="vald">354.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="mean">2.4463276836158188</sumStat><sumStat type="max">6.0</sumStat><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:L5a0PYZ7FFhLkxibUoHh6Q==</notes></var><var ID="v19641011" name="HHSize" intrvl="discrete"><location fileid="f3393791"/><labl level="variable">HHSize</labl><sumStat type="max">13.0</sumStat><sumStat type="stdev">1.6846208663380522</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">3.6940509915014164</sumStat><sumStat type="invd">1.0</sumStat><sumStat type="min">1.0</sumStat><sumStat type="medn">4.0</sumStat><sumStat type="vald">353.0</sumStat><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:lM99jyEK8voWiffKM+INuw==</notes></var><var ID="v19641013" name="Min12" intrvl="discrete"><location fileid="f3393791"/><labl level="variable">Min12</labl><sumStat type="stdev">0.49527625701775035</sumStat><sumStat type="mean">0.42655367231638425</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="vald">354.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">0.0</sumStat><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:0LAEtvyzwFxpXFOyprR0rA==</notes></var><var ID="v19641003" name="Preference1" intrvl="discrete"><location fileid="f3393791"/><labl level="variable">Preference1</labl><sumStat type="vald">343.0</sumStat><sumStat type="min">1.0</sumStat><sumStat type="invd">11.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.008480231269069</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="mean">2.096209912536443</sumStat><sumStat type="max">6.0</sumStat><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:bjEUJeOWq/Zn3+uLU397qA==</notes></var><var ID="v19641000" name="Beef consumption x times per week" intrvl="discrete"><location fileid="f3393791"/><labl level="variable">Beef consumption x times per week</labl><sumStat type="stdev">1.6210516753202324</sumStat><sumStat type="invd">2.0</sumStat><sumStat type="mean">2.7698863636363638</sumStat><sumStat type="vald">352.0</sumStat><sumStat type="min">0.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">7.0</sumStat><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:66RYSkcaCGFtSthOP/jExQ==</notes></var><var ID="v19641001" name="Chicken consumption" intrvl="contin"><location fileid="f3393791"/><labl level="variable">Chicken consumption</labl><sumStat type="vald">337.0</sumStat><sumStat type="min">0.0</sumStat><sumStat type="stdev">1.670058926341186</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="mean">3.018422354103859</sumStat><sumStat type="invd">17.0</sumStat><sumStat type="max">8.0</sumStat><sumStat type="mode">.</sumStat><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:0pFn5XYb4eBpW/kiTiPa8w==</notes></var><var ID="v19641009" name="Pork consumption" intrvl="contin"><location fileid="f3393791"/><labl level="variable">Pork consumption</labl><sumStat type="medn">1.0</sumStat><sumStat type="min">0.0</sumStat><sumStat type="vald">276.0</sumStat><sumStat type="invd">78.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.142984342923666</sumStat><sumStat type="max">7.0</sumStat><sumStat type="mean">1.2469202898550722</sumStat><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:bC1IXl6v0f85GD+hGYsrcw==</notes></var><var ID="v19640999" name="Fish consumption" intrvl="contin"><location fileid="f3393791"/><labl level="variable">Fish consumption</labl><sumStat type="mode">.</sumStat><sumStat type="invd">103.0</sumStat><sumStat type="mean">1.2630248237808768</sumStat><sumStat type="min">0.0</sumStat><sumStat type="stdev">1.3216992271244015</sumStat><sumStat type="max">7.0</sumStat><sumStat type="vald">251.0</sumStat><sumStat type="medn">1.0</sumStat><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:p7YM2Ilw95SelW3zYsIyVw==</notes></var><var ID="v19640995" name="Conoc_ambien" intrvl="contin"><location fileid="f3393791"/><labl level="variable">Conoc_ambien</labl><sumStat type="mode">.</sumStat><sumStat type="mean">1.9373219373219377</sumStat><sumStat type="invd">3.0</sumStat><sumStat type="min">0.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="stdev">1.2237192519073987</sumStat><sumStat type="max">5.0</sumStat><sumStat type="vald">351.0</sumStat><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:sGNCUMuGdH3bJLsH9bVTfA==</notes></var><var ID="v19640994" name="Pay_more" intrvl="discrete"><location fileid="f3393791"/><labl level="variable">Pay_more</labl><sumStat type="medn">1.0</sumStat><sumStat type="stdev">0.4609981914490908</sumStat><sumStat type="invd">3.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">0.0</sumStat><sumStat type="vald">351.0</sumStat><sumStat type="mean">0.6951566951566951</sumStat><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:g2OG4MF+yzw0y5Tb3UQJOg==</notes></var><var ID="v19641004" name=" How much more$ pound " intrvl="discrete"><location fileid="f3393791"/><labl level="variable"> How much more$ pound </labl><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:DwQQ9RKdMmqnjQF9tTA9Bg==</notes></var><var ID="v19641006" name="Input per capita" intrvl="discrete"><location fileid="f3393791"/><labl level="variable">Input per capita</labl><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:qEb5W66X0QMMuCPz9FUUlQ==</notes></var><var ID="v19640997" name=" Beef expenditure per capita " intrvl="discrete"><location fileid="f3393791"/><labl level="variable"> Beef expenditure per capita </labl><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:9uugiZy7MdV7f/BknkTwWQ==</notes></var><var ID="v19641007" name="Beef comsumption per capita" intrvl="discrete"><location fileid="f3393791"/><labl level="variable">Beef comsumption per capita</labl><sumStat type="invd">4.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">3.302857142857143</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="stdev">3.3239157453389465</sumStat><sumStat type="min">0.0</sumStat><sumStat type="vald">350.0</sumStat><sumStat type="max">40.0</sumStat><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:sZb8B677cVHkYH6dtqfTlw==</notes></var><var ID="v19641005" name="Why_pref" intrvl="discrete"><location fileid="f3393791"/><labl level="variable">Why_pref</labl><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:XOJYQ1PoIplNFwgpfObaAg==</notes></var><var ID="v19641008" name="Why_more" intrvl="discrete"><location fileid="f3393791"/><labl level="variable">Why_more</labl><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:3/5QuVzi/D/D+8/+lgn8RA==</notes></var><var ID="v19640993" name="Why_less" intrvl="contin"><location fileid="f3393791"/><labl level="variable">Why_less</labl><sumStat type="vald">255.0</sumStat><sumStat type="mean">5.356862745098039</sumStat><sumStat type="invd">99.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">1.0</sumStat><sumStat type="stdev">1.870687155524094</sumStat><sumStat type="medn">6.0</sumStat><sumStat type="max">8.0</sumStat><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:QggDO1pQrAeLdMhOoWwlEg==</notes></var><var ID="v19640998" name="Where_beef" intrvl="contin"><location fileid="f3393791"/><labl level="variable">Where_beef</labl><sumStat type="mean">0.20614035087719296</sumStat><sumStat type="min">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">342.0</sumStat><sumStat type="invd">12.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="stdev">0.40421933472614324</sumStat><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:LoFHPyBhCP/Z78B9J+ua4w==</notes></var><var ID="v19641002" name="Why_establishment" intrvl="discrete"><location fileid="f3393791"/><labl level="variable">Why_establishment</labl><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:GvgWP0Bs29eSO/gTQ0kunw==</notes></var></dataDscr><otherMat ID="f3393774" URI="https://ec2-52-207-99-79.compute-1.amazonaws.com/api/access/datafile/3393774" level="datafile"><labl>01. Diccionario Consumidores II English_SB.xls</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/vnd.ms-excel</notes></otherMat></codeBook>