Paper on kin networks of local officials in History of the Family

Shengbin Wei, Qin XUE and Cameron Campbell just published a paper on the kin networks of local officials in the History of the Family. Here is the link: https://doi.org/10.1080/1081602X.2026.2659970

Along the way, it introduces a new dataset based on Tongguanlu rosters of serving officials that were compiled and distributed towards the end of the Qing. These rosters were notable because they are one of only a few sources that provide information about the kin of holders of Shengyuan (生員) degrees, as well as holders of purchased degrees. For Shengyuan, the only other systematic rosters of which we are are aware are Shengyuanlu (生員綠) that were compiled at the county or prefecture level. Jiang Qin at Shanghai Jiao Tong University recently published an analysis of Shengyuanlu from one county. Information about the kin of large numbers of degree holders should eventually be available from ongoing efforts to digitize large numbers of genealogies, but these may be several years from completion.

This is a revised version of a manuscript that the authors shared at SocArXiv. Please read and cite this published version instead.

Full citation:

Wei, S., Campbell, C., & Xue, Q. (2026). Kin networks of local officials in 19th and Early 20th century China. The History of the Family, 1–22. https://doi.org/10.1080/1081602X.2026.2659970

Here is the abstract:

We introduce a new source for the study of the kin networks, qualifications, and careers of officials in China in the late nineteenth and early twentieth centuries: a dataset constructed from Tongguanlu rosters of officials that include their resumes, degree or other qualifications and rosters of their kin. In contrast with other sources that have been used to study the social origins of holders of high examination degrees including national Jinshi, provincial Juren and exam Gongsheng, Tongguanlu include holders of less prestigious purchased degrees and prefectural Shengyuan exam degrees who accounted for a large share of officials, especially local ones, in the nineteenth century. Information about kin includes not only the names and degrees held by patrilineal father, grandfather, and great-grandfather commonly recorded for national or provincial examination degree holders that have been studied previously, but detailed information about uncles, great-uncles, male cousins, sons, and nephews, and basic information about female kin including mothers, grandmothers and great-grandmothers, daughters. We provide background on the Tongguanlu as a source, describe how we constructed the dataset, summarize its contents, and then present results on the posts, qualifications, and kin networks of local officials. We show that officials who held purchased degrees and low-level Shengyuan examination degrees were less likely than holders of higher degrees to have other kin who held degrees and that officials with regular and expectant appointments were more likely to have kin with degrees than officials with acting appointments.

Paper on age dynamics of Qing officials in 近代史研究

Shuaiqi Gao, Chong Li and Cameron Campbell published a paper on the age dynamics of the careers of 19th century Qing officials 清代文官的年龄动态研究(1830—1911)in one of the leading Chinese history journals, 近代史研究. Here’s the announcement of the issue at the journal’s Wechat account: https://mp.weixin.qq.com/s/pKT33blHGmKZglydDOgDiw

Full text at CNKI Overseas and CNKI China

Reference:

康文林 (Cameron Campbell), 高帅奇 (Gao Shuaiqi), 李翀 (Li Chong). 2026. 清代文官的年龄动态研究(1830—1911)(Research on the Age Dynamics of Qing Civil Officials, 1830-1911). 近代史研究 (Journal of Modern Chinese History). 2(March): 93-116.

Here is the abstract:

清代文官在功名获取、任命、履职以及离职时的年龄变化,揭示了官僚系统内部的运行状态。通过关联中国历史官员量化数据库——清代缙绅录和同年齿录数据库,获得1830—1911年16913名进士、举人及贡生的382983条官员年龄信息记录。样本数据涵盖从地方教育官员至中央高级官员的所有官员类别。定量分析结果显示,官员首次入仕、履职以及离职时的年龄分布,明显受到其功名及品级的影响,呈现高度的离散性,这也反映出许多中举士子候缺及晋升的时间较长。相较于进士,举人首次候缺的时间更长。清代官僚系统内部的动态变化可能导致官员仕途晋升的困难,官员在职死亡是引发官僚体系人员流动的重要因素之一。官员年龄的动态变化,揭示了太平天国运动后大量新官员开始涌入清政府官僚系统,高龄官员不适度的离职率对年轻官员任命和晋升产生较大影响。

The age dynamics of Qing Dynasty civil officials upon obtaining their academic titles, appointments, assumption of office, and departures yield new insights into the internal workings of the bureaucratic system. By linking the quantitative databases of Chinese historical officials—the Qing Dynasty Official Records and the Records of Age of the Same Year—382,983 records of age information for 16,913 Jinshi (successful candidates in the highest imperial examinations), Juren (successful candidates in the provincial imperial examinations), and Gongsheng (tribute students) from 1830 to 1911 were obtained. The sample data covers all categories of officials, from local education officials to high-ranking central government officials. Results show that the age distribution of officials upon their first entry into officialdom, assumption of office, and departure is significantly influenced by their academic titles and ranks, exhibiting high dispersion. This also reflects the long waiting time for many Juren to be promoted. Compared to Jinshi, Juren had a longer initial waiting time. The dynamic changes within the Qing Dynasty bureaucratic system may have led to difficulties in career advancement for officials, and the death of officials in office was a significant factor in personnel turnover within the bureaucratic system. The changes in officials’ ages reveal that after the Taiping Rebellion, a large influx of new officials entered the Qing government’s bureaucratic system, and the low turnover rate of older officials significantly impacted the appointment and promotion of younger officials.

Paper on machine learning approach to nominative record linkage in Chinese historical sources

Yue YU lead-authored a new paper introducing a machine-learning approach to nominative record linkage in Chinese historical sources that is now online at Historical Methods. It was co-authored with Cameron Campbell, Yueran Hou and Yibei Wu. The paper is titled “A machine learning approach for nominative record linkage in Chinese historical databases.” It is a revised version of the working paper that we previously uploaded at SocArXiv. It demonstrates that a machine-learning approach yields substantial improvements over the probabilistic approach introduced in a paper by Cameron Campbell and Bijia Chen.

Reference:

YU Yue, Yueran Hou, Yibei Wu, Cameron Campbell. 2026. A Machine Learning Approach for Nominative Record Linkage in Chinese Historical Databases. (w/ Yue Yu, Yueran Hou, Yibei Wu). Historical Methods. Online access, 26 March 2026: https://www.tandfonline.com/doi/full/10.1080/01615440.2026.2641454

Abstract

We introduce a generic machine learning-based pipeline for nominative linkage of records within and across Chinese historical datasets. The pipeline addresses key challenges, including character variations, incomplete data, and scalability issues specific to historical datasets in which names and other attributes are recorded with Chinese characters, not just for China, but potentially for Korea, Japan and Vietnam. Techniques developed for attributes recorded in phonetic alphabets are of limited use for Chinese characters not only because homonyms are common, but characters that are similar enough in appearance to be mistaken for each other may sound different. Our approach integrates stroke-based character embeddings for efficient blocking, supervised classification with active learning for record matching, and graph-based clustering for final linkage. We demonstrate the effectiveness of this pipeline using the career records of officials in the China Government Employee Database-Qing Jinshenlu (CGED-Q JSL). We achieve improved linkage quality compared to standard probabilistic methods, with longer linked sequences of career records and fewer aberrant transitions. To validate the generalizability, we also successfully apply the pipeline to another database and a cross-database linkage task. By minimizing the need for manual tuning, our pipeline offers a more accessible and effective solution for Chinese historical data linkage.

Working paper on kin networks of local officials in the late Qing

Shengbin Wei, Xue Qin and Cameron Campbell have a new working paper introducing a dataset based on the Tongguanlu (同官录) that provides information on the kin, qualifications, and careers of local officials in selected locations in the late Qing and Beiyang periods. The Tongguanlu is one of the only sources that we are aware of that provides information on the kin of holders of Jiansheng 监生 and purchased Gongsheng 异途贡生 degrees, and the low-level Shengyuan (生员) degree. Sources used by classic studies like Ho (1962) The Ladder of Success in Late Imperial China only include family background for holders of higher exam degrees like regular Gongsheng, Juren, and Jinshi.

The paper introduces the dataset and presents some results on the kin networks of local officials. The paper shows that holders of purchased degrees and the low-level Shengyuan degree had less privileged family backgrounds than holders of higher degrees. Through regression analysis, it also shows that certain categories of officials had especially privileged backgrounds: seal-holding officials had more advantaged backgrounds than functionaries and educational officials, and officials with regular appointments had more advantaged family backgrounds than expectant officials and officials with acting appointments.

Here is the manuscript at SocArXiv: https://doi.org/10.31235/osf.io/ez3yw_v1

New edited volume Quantitative History of China: State Capacity, Institutions, and Development

Cameron Campbell co-edited a volume with Zhiwu Chen and Debin Ma Quantitative History of China: State Capacity, Institutions, and Development that has just been published by Springer.

It is available open access: https://link.springer.com/book/10.1007/978-981-96-8272-0

From the description:

This volume showcases a collection of new findings concerning China’s political, social, and economic history and typically based on newly constructed large historical datasets. Most of the work has involved an interdisciplinary team of economists, sociologists, political scientists, historians and econometricians, demonstrating how new big data and quantitative methods may be brought to bear on some of the biggest questions related to China’s development over the past three millennia and on the implications of distant past events on contemporary China. Topics covered range from the roles of war, state formation, religion, culture, finance and institutions in long-run development and technological innovations, to regicide history, to the organization and capacity of the bureaucracy. Contributors include leading figures in the quantitative study of China’s long-run socioeconomic and political history.

Cameron Campbell contributed two chapters, both co-authored with students.

Chapter 6, lead-authored by Chen Jun, originally an MA student of Campbell’s at Central China Normal University, now a PhD student at Renmin University, examines the spatial origins and allocation of military officers in the late Qing. Here is the abstract:

We investigate changes over time in the distribution by province of current post and province of origin for Qing military officers from the late eighteenth century to the beginning of the nineteenth century. During this period, the Qing faced a variety of military challenges, including domestic conflicts and foreign incursions. The most important was the Taiping Rebellion (1851–1864), which is already known to have led to large changes in the composition of the Qing military leadership. In turn, senior Hunan-origin military officers leveraged their networks to dominate officer appointments in the coastal provinces. We examine how the Taiping Rebellion, the First Opium War and other crises affected the allocation of officers between provinces, and the recruitment of officers from different provinces. For the analysis, we use the quarterly rosters of military officers Zhongshu beilan, which have been transcribed into a database as part of the China Government Employee Dataset-Qing Jinshenlu (CGED-Q JSL). We show that the allocation of officers by province did not change during the First Opium War, but changed dramatically after the Taiping Rebellion, with a substantial increase in the share of officers allocated to the southeastern coastal provinces, reflecting heightened importance of maritime defense. We also show that there were two phases to the increase in the share of Hunan-origin officers, one at the end of the eighteenth century, and the other, better-known one following the Taiping Rebellion. Finally, we show that exceptions to the rule of avoidance in the appointment of senior military officers became more common for all types of officers from the eighteenth century to the middle of the nineteenth century, and that afterward, low-, mid-, and high-level officers followed different trajectories. We conclude with an assessment of the implications of our findings for our understanding of the Qing in the nineteenth century.

Chapter 7, co-authored by Cameron Campbell with Shuaiqi Gao, a PhD student at Central China Normal University, examines the influence of disasters on the careers of officials. Here is the abstract:

We investigate one dimension of state capacity in the late Qing Dynasty period: enforcement of regulations for the evaluation of officials. For this, we examine how natural disasters and harvest outcomes influenced the careers of county magistrates between 1820 and 1911. County magistrates were responsible for reporting disasters and dealing with their aftermath. Their response was assessed during their performance evaluations. The clearest rules were for locust infestations: as their occurrence was considered prima facie evidence of negligence and was supposed to result in termination. We show that an infestation increased the chances that an official would cease service. Among disasters with more complex origins and where blame was harder to ascribe, including floods, droughts, epidemics, and famine, only famine increased the risk of ending careers. We conclude that the state enforced these personnel regulations before 1880, but not afterward. Effects of infestation and famine did not vary by whether an official had an examination degree or by the rated difficulty of the county. No systematic time trends in effects of famine or infestation were apparent. Our analysis makes use of career histories of officials in the China Government Employee Database-Qing (CGED-Q) Jinshenlu (JSL) dataset, linked to records of disasters and harvests transcribed from a published compilation.

New study of fertility using the CMGPD-LN published by others

We were pleased to learn that Gefei Wang and Xuande Wu published a paper in Asian Population Studies on fertility in Liaoning in the 19th century that makes use of the public CMGPD-LN. This is one of several recent published studies that use the public CMGPD-LN (available at ICPSR) that are by people who are not connected with us. We hope that the CMGPD-LN and CMGPD-SC will be used by others to study family and population and inequality in northeast China during the Qing.

Here is a link to their study: https://doi.org/10.1080/17441730.2025.2565216

Special issue “Inequality, economic stress, and demographic response” in Explorations in Economic History

Cameron Campbell and Tommy Bengtsson edited a special issue on “Inequality, economic stress, and demographic response” for Explorations in Economic History. With the online publication of our introduction the special issue is now complete. The papers apply methods from the original Eurasia Project comparative volumes to population register databases to examine patterns of demographic responses to social and economic context, thereby providing insight into living standards and inequality in the past. Some of the papers are by authors associated with the original Eurasia Project, making use of expanded databases covering sites in 19th century Japan, China, Italy, Belgium, and Sweden and/or investigating new topics. Other papers are by authors making use of newly constructed population register databases in other locations including Scotland, Hungary, Estonia, and South Africa, but investigating the same basic questions. The papers are revised versions of ones presented in sessions at the 2022 World Economic History Congress in Paris, France.

Here is our introduction: https://authors.elsevier.com/a/1laAL3I%7EdWl64

And here is the special issue itself: https://www.sciencedirect.com/special-issue/10PQNHCPFSB

New CGED-Q JSL Training Guide

Chen Jun has created a R Markdown file that provides a tutorial for using R to analyze the CGED-Q, including executable code. The tutorial has been uploaded to the Lee-Campbell Group dataspaces at Harvard and HKUST, along with PDF of the output.

He has also produced updated Powerpoints showing how to use R to analyze the CGED-Q JSL.

Harvard Dataverse

R Markdown File: https://dataverse.harvard.edu/file.xhtml?fileId=11712534

PDF of output from R Markdown file: https://dataverse.harvard.edu/file.xhtml?fileId=11712535

Powerpoints

1&2-初识Rstudio和缙绅录数据库(v2.1.1).pdf

3-逻辑表达式和字符串处理的相关函数(v2.1.1).pdf

4-表格输出(v2.1.1).pdf

5-直方图、散点图和折线图的制作(v2.1.1).pdf

6-数据的整理与匹配(v2.1.1).pdf

7-官员个人编号的创建与运用(v2.1.1).pdf

8-制作GIS图像(v2.1.1).pdf

HKUST Dataspace

R Markdown File: https://dataspace.hkust.edu.hk/file.xhtml?fileId=2707

PDF of output from R Markdown file: https://dataspace.hkust.edu.hk/file.xhtml?fileId=2703

Powerpoints

1 & 2 初识Rstudio和缙绅录数据库(v2.1.1).pdf

3-逻辑表达式和字符串处理的相关函数(v2.1.1).pdf

4-表格输出(v2.1.1).pdf

5-直方图、散点图和折线图的制作(v2.1.1).pdf

6-数据的整理与匹配(v2.1.1).pdf

7-官员个人编号的创建与运用(v2.1.1).pdf

8-制作GIS图像(v2.1.1).pdf

Updated CGED-Q JSL User Guide now available

We have updated the CGED-Q JSL User Guide 中国历史官员量化数据库-缙绅录用户指南 to reflect the 1760-1798 data that we released last year. Chen Jun and Bijia Chen were mostly responsible for this update, though we had feedback from others. We have included new data on the variables, new information about the sources, and various other edits. The new version is available for download at the Harvard Dataverse and the HKUST Dataspace:

Harvard Dataverse

https://dataverse.harvard.edu/file.xhtml;jsessionid=decdf0d5f164007a167a94fd0309?fileId=11704482&version=7.0

HKUST Dataspace

https://dataspace.hkust.edu.hk/file.xhtml?fileId=2702&version=19.0

New article in Explorations in Economic History

James Lee and Cameron Campbell just published “Socioeconomic differences in population growth in 19th century Liaoning, China: a decomposition” in Explorations in Economic History that divides population growth in Liaoning in the 19th century into the shares contributed by different time periods and different socioeconomic groups.

This paper ties together several decades of work by Cameron Campbell, James Lee, and others on differentials in demographic outcomes like mortality, fertility and marriage. They have published numerous papers looking at how economic conditions, community context, and household and individual socioeconomic and other characteristics affected these demographic outcomes. These papers used patterns of differentials to map differences in access to the resources required to marry, have children, and avoid death.

The new paper examines how these patterns of differentials combined to determine the contributions that different groups and different time periods made to population growth. The paper compares the contributions made by households, lineages and communities of different sizes, as well as households with different numbers of members. Time periods are defined by grain prices. Like earlier articles, the paper makes use of data from the CMGPD-LN.

The paper is available open access here: https://doi.org/10.1016/j.eeh.2025.101678