<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>China's demographic dividend has moved from age-based labor supply to skill-based productivity</titl><IDNo agency="DOI">doi:10.7910/DVN/YJVIOQ</IDNo></titlStmt><distStmt><distrbtr source="archive">Harvard Dataverse</distrbtr><distDate>2026-02-04</distDate></distStmt><verStmt source="archive"><version date="2026-03-25" type="RELEASED">2</version></verStmt><biblCit>Gu, Hengyu; Wu, Yingju; Marois, Guillaume; Lutz, Wolfgang; Niu, Tianlong, 2026, "China's demographic dividend has moved from age-based labor supply to skill-based productivity", https://doi.org/10.7910/DVN/YJVIOQ, Harvard Dataverse, V2</biblCit></citation></docDscr><stdyDscr><citation><titlStmt><titl>China's demographic dividend has moved from age-based labor supply to skill-based productivity</titl><IDNo agency="DOI">doi:10.7910/DVN/YJVIOQ</IDNo></titlStmt><rspStmt><AuthEnty affiliation="Nanjing university">Gu, Hengyu</AuthEnty><AuthEnty affiliation="Nanjing university">Wu, Yingju</AuthEnty><AuthEnty affiliation="Shanghai university">Marois, Guillaume</AuthEnty><AuthEnty affiliation="Shanghai university">Lutz, Wolfgang</AuthEnty><AuthEnty affiliation="Nanjing University">Niu, Tianlong</AuthEnty></rspStmt><prodStmt/><distStmt><distrbtr source="archive">Harvard Dataverse</distrbtr><contact affiliation="Nanjing university" email="yingjuwu@smail.nju.edu.cn">Wu, Yingju</contact><depositr>wu, yingju</depositr><depDate>2026-02-02</depDate></distStmt><holdings URI="https://doi.org/10.7910/DVN/YJVIOQ"/></citation><stdyInfo><subject><keyword xml:lang="en">Social Sciences</keyword><keyword>Age support ratio</keyword><keyword>Task-based Skill Ratio</keyword></subject><abstract>This repository provides a comprehensive replication package supporting the findings of this study, comprising the city-level panel data and Stata codes necessary to reproduce the main empirical results (Table 1), along with the underlying datasets for the spatiotemporal visualizations (Figures 1 and 2) and projection simulations (Figure 5). Please note that the datasets provided herein also serve as the source for all remaining figures and visualizations beyond those explicitly listed. To ensure transparency and reproducibility in constructing the Task-based Skill Ratio (TSR), we provide intermediate data covering the entire process from occupational description matching to task attribute classification, including multi-source classification results from manual coding, GPT-5, and Gemini 2.5 Pro for robustness verification.</abstract><sumDscr/></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><otherMat ID="f13444760" URI="https://dataverse.harvard.edu/api/access/datafile/13444760" level="datafile"><labl>ASR_TSR_Replication_Data.zip</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/zip</notes></otherMat><otherMat ID="f13433048" URI="https://dataverse.harvard.edu/api/access/datafile/13433048" level="datafile"><labl>Note.docx</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/vnd.openxmlformats-officedocument.wordprocessingml.document</notes></otherMat></codeBook>