<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: “Effectiveness of Social Norm-Based Nudge Interventions on Food Waste Reduction: Evidence from a Field Experiment in a Chinese University Dining Facility” (Manuscript under review)</titl><IDNo agency="DOI">doi:10.7910/DVN/VOPUA0</IDNo></titlStmt><distStmt><distrbtr source="archive">Harvard Dataverse</distrbtr><distDate>2026-03-13</distDate></distStmt><verStmt source="archive"><version date="2026-03-13" type="RELEASED">1</version></verStmt><biblCit>ZHANG, Yuchi, 2026, "Replication Data for: “Effectiveness of Social Norm-Based Nudge Interventions on Food Waste Reduction: Evidence from a Field Experiment in a Chinese University Dining Facility” (Manuscript under review)", https://doi.org/10.7910/DVN/VOPUA0, Harvard Dataverse, V1, UNF:6:8UMKnNSXmQsvqzeV5wfwiA== [fileUNF]</biblCit></citation></docDscr><stdyDscr><citation><titlStmt><titl>Replication Data for: “Effectiveness of Social Norm-Based Nudge Interventions on Food Waste Reduction: Evidence from a Field Experiment in a Chinese University Dining Facility” (Manuscript under review)</titl><IDNo agency="DOI">doi:10.7910/DVN/VOPUA0</IDNo></titlStmt><rspStmt><AuthEnty affiliation="The University of Osaka">ZHANG, Yuchi</AuthEnty></rspStmt><prodStmt/><distStmt><distrbtr source="archive">Harvard Dataverse</distrbtr><contact affiliation="The University of Osaka" email="zhangyuchi2022@gmail.com">ZHANG, Yuchi</contact><depositr>ZHANG, Yuchi</depositr><depDate>2026-03-11</depDate></distStmt><holdings URI="https://doi.org/10.7910/DVN/VOPUA0"/></citation><stdyInfo><subject><keyword xml:lang="en">Social Sciences</keyword></subject><abstract date="2026-03-11">This dataset contains the original observations used in the field experiment examining the effectiveness of social norm–based nudge interventions on food waste reduction in a university dining facility in China. The data record daily measurements of edible plate waste collected during lunchtime across treatment and control dining halls over a four-week experimental period in October–November 2024. Key variables include the total weight of food waste collected, the number of plates sampled, average waste per plate, treatment assignment, collection time, and weekday indicators. The associated research manuscript is currently under review.</abstract><sumDscr/><notes>The field experiment was planned for 20 weekdays across two dining facilities (40 observations). Due to scheduling constraints and assistant availability on three days, three observations were not collected. The final dataset therefore contains 37 observations.</notes></stdyInfo><method><dataColl><sources/></dataColl><anlyInfo/></method><dataAccs><setAvail/><useStmt/><notes type="DVN:TOU" level="dv">&lt;a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0&lt;/a></notes></dataAccs><othrStdyMat/></stdyDscr><fileDscr ID="f13597594" URI="https://dataverse.harvard.edu/api/access/datafile/13597594"><fileTxt><fileName>original_data-1.tab</fileName><dimensns><caseQnty>40</caseQnty><varQnty>7</varQnty></dimensns><fileType>text/tab-separated-values</fileType></fileTxt><notes level="file" type="VDC:UNF" subject="Universal Numeric Fingerprint">UNF:6:mS2g47BR7tfS3IYzjF+9Pg==</notes><notes level="file" type="DATAVERSE:FILEDESC" subject="DataFile Description">Raw dataset in Stata dataset format.
</notes></fileDscr><fileDscr ID="f13597593" URI="https://dataverse.harvard.edu/api/access/datafile/13597593"><fileTxt><fileName>original_data.tab</fileName><dimensns><caseQnty>40</caseQnty><varQnty>7</varQnty></dimensns><fileType>text/tab-separated-values</fileType></fileTxt><notes level="file" type="VDC:UNF" subject="Universal Numeric Fingerprint">UNF:6:mS2g47BR7tfS3IYzjF+9Pg==</notes><notes level="file" type="DATAVERSE:FILEDESC" subject="DataFile Description">Raw dataset used in the empirical analysis.</notes></fileDscr><fileDscr ID="f13597591" URI="https://dataverse.harvard.edu/api/access/datafile/13597591"><fileTxt><fileName>Treated_data.tab</fileName><dimensns><caseQnty>37</caseQnty><varQnty>14</varQnty></dimensns><fileType>text/tab-separated-values</fileType></fileTxt><notes level="file" type="VDC:UNF" subject="Universal Numeric Fingerprint">UNF:6:rwfOGquvlv+w6PRvjPWQDg==</notes><notes level="file" type="DATAVERSE:FILEDESC" subject="DataFile Description">Stata dataset after the treatments on the original dataset.</notes></fileDscr><dataDscr><var ID="v39608120" name="week" intrvl="discrete"><location fileid="f13597594"/><sumStat type="min">0.0</sumStat><sumStat type="vald">40.0</sumStat><sumStat type="mean">0.75</sumStat><sumStat type="stdev">0.4385290096535146</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">1.0</sumStat><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:JNDn8sfhtXXePWdBCOUvEw==</notes></var><var ID="v39608123" name="totalweight" intrvl="contin"><location fileid="f13597594"/><sumStat type="medn">7.960000038146973</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">37.0</sumStat><sumStat type="max">14.0</sumStat><sumStat type="min">3.549999952316284</sumStat><sumStat type="mean">8.355405401539159</sumStat><sumStat type="invd">3.0</sumStat><sumStat type="stdev">2.2517173918036417</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:HVlnPuA+6VLSOop20rI2oQ==</notes></var><var ID="v39608121" name="numplate" intrvl="discrete"><location fileid="f13597594"/><sumStat type="medn">100.0</sumStat><sumStat type="invd">3.0</sumStat><sumStat type="mean">101.37837837837837</sumStat><sumStat type="min">100.0</sumStat><sumStat type="vald">37.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">2.822049603384739</sumStat><sumStat type="max">112.0</sumStat><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:LTIXW7l//T4bNpv8h6+/aA==</notes></var><var ID="v39608125" name="averageweight" intrvl="contin"><location fileid="f13597594"/><sumStat type="mode">.</sumStat><sumStat type="max">127.2699966430664</sumStat><sumStat type="mean">82.08540529818148</sumStat><sumStat type="min">35.5</sumStat><sumStat type="vald">37.0</sumStat><sumStat type="medn">79.5999984741211</sumStat><sumStat type="stdev">20.327442251988145</sumStat><sumStat type="invd">3.0</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:12JDn1N2pLXUzi+fNrkaBQ==</notes></var><var ID="v39608122" name="interv" intrvl="discrete"><location fileid="f13597594"/><sumStat type="min">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mean">0.5</sumStat><sumStat type="medn">0.5</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">0.5063696835418333</sumStat><sumStat type="vald">40.0</sumStat><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:mK/LEJ8X3R0tm5w3vCbSEg==</notes></var><var ID="v39608126" name="date" intrvl="discrete"><location fileid="f13597594"/><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:3YWYOelqmr0x5FWuDt09Mg==</notes></var><var ID="v39608124" name="coltime" intrvl="discrete"><location fileid="f13597594"/><sumStat type="max">40.0</sumStat><sumStat type="medn">30.0</sumStat><sumStat type="stdev">8.394639359136875</sumStat><sumStat type="invd">3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">8.0</sumStat><sumStat type="mean">26.594594594594593</sumStat><sumStat type="vald">37.0</sumStat><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:FbJGSOMvUFyn+wO7dDTk0A==</notes></var><var ID="v39608117" name="week" intrvl="discrete"><location fileid="f13597593"/><labl level="variable">week</labl><sumStat type="stdev">0.4385290096535146</sumStat><sumStat type="min">0.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="vald">40.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">0.75</sumStat><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:JNDn8sfhtXXePWdBCOUvEw==</notes></var><var ID="v39608113" name="totalweight" intrvl="contin"><location fileid="f13597593"/><labl level="variable">totalweight</labl><sumStat type="max">14.0</sumStat><sumStat type="invd">3.0</sumStat><sumStat type="mean">8.355405405405405</sumStat><sumStat type="min">3.55</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">37.0</sumStat><sumStat type="stdev">2.2517173626103877</sumStat><sumStat type="medn">7.96</sumStat><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:HVlnPuA+6VLSOop20rI2oQ==</notes></var><var ID="v39608119" name="numplate" intrvl="discrete"><location fileid="f13597593"/><labl level="variable">numplate</labl><sumStat type="mode">.</sumStat><sumStat type="stdev">2.822049603384739</sumStat><sumStat type="medn">100.0</sumStat><sumStat type="invd">3.0</sumStat><sumStat type="vald">37.0</sumStat><sumStat type="max">112.0</sumStat><sumStat type="min">100.0</sumStat><sumStat type="mean">101.37837837837837</sumStat><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:LTIXW7l//T4bNpv8h6+/aA==</notes></var><var ID="v39608116" name="averageweight" intrvl="contin"><location fileid="f13597593"/><labl level="variable">averageweight</labl><sumStat type="stdev">20.327442350463745</sumStat><sumStat type="invd">3.0</sumStat><sumStat type="mean">82.08540532432433</sumStat><sumStat type="max">127.27</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">35.5</sumStat><sumStat type="medn">79.599998</sumStat><sumStat type="vald">37.0</sumStat><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:12JDn1N2pLXUzi+fNrkaBQ==</notes></var><var ID="v39608115" name="interv" intrvl="discrete"><location fileid="f13597593"/><labl level="variable">interv</labl><sumStat type="medn">0.5</sumStat><sumStat type="mean">0.5</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">0.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">40.0</sumStat><sumStat type="stdev">0.5063696835418333</sumStat><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:mK/LEJ8X3R0tm5w3vCbSEg==</notes></var><var ID="v39608118" name="date" intrvl="discrete"><location fileid="f13597593"/><labl level="variable">date</labl><varFormat type="character" formatname="yyyy-MM-dd" category="date"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:3YWYOelqmr0x5FWuDt09Mg==</notes></var><var ID="v39608114" name="coltime" intrvl="discrete"><location fileid="f13597593"/><labl level="variable">coltime</labl><sumStat type="mode">.</sumStat><sumStat type="medn">30.0</sumStat><sumStat type="min">8.0</sumStat><sumStat type="max">40.0</sumStat><sumStat type="stdev">8.394639359136875</sumStat><sumStat type="vald">37.0</sumStat><sumStat type="invd">3.0</sumStat><sumStat type="mean">26.594594594594593</sumStat><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:FbJGSOMvUFyn+wO7dDTk0A==</notes></var><var ID="v39608138" name="week" intrvl="discrete"><location fileid="f13597591"/><labl level="variable">Post intervention indicator, week = 0: before treatment; week = 1: after treatme</labl><sumStat type="medn">1.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="min">0.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">0.4349588362008399</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">37.0</sumStat><sumStat type="mean">0.7567567567567567</sumStat><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:vSOx7yUApIK54j9Feg2CcQ==</notes></var><var ID="v39608132" name="totalweight" intrvl="contin"><location fileid="f13597591"/><labl level="variable">Total weight of edible food waste collected each day (kg).</labl><sumStat type="stdev">2.2517173918036417</sumStat><sumStat type="mean">8.355405401539159</sumStat><sumStat type="max">14.0</sumStat><sumStat type="min">3.549999952316284</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">7.960000038146973</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">37.0</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:6jDVVocoWq8+5MISC8ko2Q==</notes></var><var ID="v39608137" name="numplate" intrvl="discrete"><location fileid="f13597591"/><labl level="variable">Number of plates collected</labl><sumStat type="invd">0.0</sumStat><sumStat type="min">100.0</sumStat><sumStat type="max">112.0</sumStat><sumStat type="medn">100.0</sumStat><sumStat type="mean">101.37837837837837</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">37.0</sumStat><sumStat type="stdev">2.822049603384739</sumStat><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:2uu6PK3SMjpiGGOE/hltfg==</notes></var><var ID="v39608139" name="averageweight" intrvl="contin"><location fileid="f13597591"/><labl level="variable">Average weight of food waste per plate (grams), calculated as totalweight / nump</labl><sumStat type="min">35.5</sumStat><sumStat type="medn">79.5999984741211</sumStat><sumStat type="stdev">20.327442251988145</sumStat><sumStat type="mean">82.08540529818148</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">37.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">127.2699966430664</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:GdoAFslCPQGcFX+HBN+yEg==</notes></var><var ID="v39608129" name="interv" intrvl="discrete"><location fileid="f13597591"/><labl level="variable">Treatment indicator for experimental group assignment, Interv = 0: control group</labl><sumStat type="mean">0.5135135135135136</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">0.0</sumStat><sumStat type="stdev">0.5067117097095316</sumStat><sumStat type="max">1.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="vald">37.0</sumStat><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:WBTxe5Da3Pp7qDByULwicQ==</notes></var><var ID="v39608140" name="date" intrvl="discrete"><location fileid="f13597591"/><labl level="variable">Calendar date of the experimental period.</labl><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:R3BGu9AKYu8kIMabFytSKQ==</notes></var><var ID="v39608135" name="coltime" intrvl="discrete"><location fileid="f13597591"/><labl level="variable">Time required to collect the sampled food waste plates (minutes).</labl><sumStat type="max">40.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">30.0</sumStat><sumStat type="vald">37.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">8.394639359136875</sumStat><sumStat type="min">8.0</sumStat><sumStat type="mean">26.594594594594593</sumStat><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:lg85eFjcFCfx3FLttkBc3g==</notes></var><var ID="v39608131" name="interac" intrvl="contin"><location fileid="f13597591"/><labl level="variable">Treatment × Week interaction</labl><sumStat type="max">1.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">37.0</sumStat><sumStat type="stdev">0.49167239269837165</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">0.37837837837837845</sumStat><sumStat type="min">0.0</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:nfHl0+F4IMGpZ5+O4dsKdQ==</notes></var><var ID="v39608127" name="full_date" intrvl="discrete"><location fileid="f13597591"/><varFormat type="character" formatname="yyyy-MM-dd" category="date"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:R3BGu9AKYu8kIMabFytSKQ==</notes></var><var ID="v39608136" name="weekday" intrvl="contin"><location fileid="f13597591"/><labl level="variable">Weekday indicator, weekday = 1: Monday … weekday = 5: Friday, weekday = 6: Satur</labl><sumStat type="max">6.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="mean">3.081081081081081</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">37.0</sumStat><sumStat type="min">1.0</sumStat><sumStat type="stdev">1.4216261889192325</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:90rP3C5cA3vB8bXvJ+AWqw==</notes></var><var ID="v39608128" name="week_4" intrvl="contin"><location fileid="f13597591"/><labl level="variable">Week of experiment (1–4)</labl><sumStat type="stdev">1.1210516298354671</sumStat><sumStat type="mean">2.486486486486487</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">4.0</sumStat><sumStat type="min">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="vald">37.0</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:QuO37dBdm7/6oxGh5T+/Hg==</notes></var><var ID="v39608130" name="_est_reg1" intrvl="discrete"><location fileid="f13597591"/><labl level="variable">esample() from estimates store</labl><sumStat type="min">1.0</sumStat><sumStat type="vald">37.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">1.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">0.0</sumStat><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:IaRvGG+smR6F2MFJike4tA==</notes></var><var ID="v39608134" name="_est_reg2" intrvl="discrete"><location fileid="f13597591"/><labl level="variable">esample() from estimates store</labl><sumStat type="stdev">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">1.0</sumStat><sumStat type="vald">37.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">1.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="max">1.0</sumStat><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:IaRvGG+smR6F2MFJike4tA==</notes></var><var ID="v39608133" name="_est_event_week" intrvl="discrete"><location fileid="f13597591"/><labl level="variable">esample() from estimates store</labl><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mean">1.0</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="min">1.0</sumStat><sumStat type="vald">37.0</sumStat><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:IaRvGG+smR6F2MFJike4tA==</notes></var></dataDscr><otherMat ID="f13597590" URI="https://dataverse.harvard.edu/api/access/datafile/13597590" level="datafile"><labl>field_experiment_analysis.do</labl><txt>Stata code used to replicate the statistical analysis in the paper.
</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/x-stata-syntax</notes></otherMat><otherMat ID="f13597592" URI="https://dataverse.harvard.edu/api/access/datafile/13597592" level="datafile"><labl>README.txt</labl><txt>Instructions for using the attached datasets and the Stata code.</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/plain</notes></otherMat></codeBook>