China Multi-Generational Panel Dataset, Shuangcheng (CMGPD-SC), 1866-1913 (ICPSR 35292)

Alternate Title:   Multi-generational Demographic and Landholding Data: CMGPD-SC Public Release

Principal Investigator(s): Lee, James Z., Hong Kong University of Science and Technology; Chen, Shuang, University of Iowa; Campbell, Cameron D., Hong Kong University of Science and Technology; Wang, Hongbo, Hong Kong University of Science and Technology

Summary:

The China Multi-Generational Panel Dataset - Shuangcheng (CMGPD-SC) provides longitudinal individual, household, and community information on the demographic and socioeconomic characteristics of a resettled population living in Shuangcheng, a county in present-day Heilongjiang Province of Northeastern China, for the period from 1866 to 1913. The dataset includes some 1.3 million annual observations of over 100,000 unique individuals descended from families who were relocated to Shuangcheng in the early 19th century. These families were divided into 3 categories based on their place of origin: metropolitan bannermen, rural bannermen, and floating bannermen. The CMGPD-SC, like its Liaoning counterpart, the CMGPD-LN (ICPSR 27063), is a valuable data source for studying longitudinal as well as multi-generational social and demographic processes. The population categories had salient differences in social origins and land entitlements, and landholding data are available at a number of time periods, thus the CMGPD-SC is especially suitable to the study of stratification processes.

Series: China Multi-Generational Panel Datasets Series

Access Notes

  • One or more files in this data collection have special restrictions ; consult the restrictions note to learn more. You can apply online for access to the restricted-use data. A login is required to apply.

    This data collection may not be used for any purpose other than statistical reporting and analysis. Use of these data to learn the identity of any person or establishment is prohibited. To protect respondent privacy, all data files in this collection are restricted from general dissemination. To obtain these restricted files, researchers must agree to the terms and conditions of a Restricted Data Use Agreement.

    Any public-use data files in this collection are available for access by the general public. Access does not require affiliation with an ICPSR member institution.

  • These data have been updated since their release as https://doi.org/ICPSR35292.v6, which you used to locate the data. If you need access to a previous version of the data (e.g., to replicate results in an article or report), you can contact ICPSR User Support to find out if a prior version is available.

Dataset(s)

DS0:  Study-Level Files
DS1:  Basic and Analytic File - Download All Files (2136.408 MB) large file
Documentation:
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ASCII + SAS Setup    SPSS Setup    Stata Setup   
Analyze Online:
DS2:  Basic File (Restricted)
Documentation:
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No downloadable data files available.
DS3:  Kinship File - Download All Files (6830.081 MB) large file
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DS4:  Disability File - Download All Files (14.147 MB)
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DS5:  Position File - Download All Files (14.635 MB)
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DS6:  Landholding File - Download All Files (33.8 MB)
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DS7:  Landholding File (Restricted)
Documentation:
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No downloadable data files available.
DS8:  Occupational File - Download All Files (15.438 MB)
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DS9:  Grain Price File - Download All Files (15.304 MB)
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Study Description

Citation

Lee, James Z., Shuang Chen, Cameron D. Campbell, and Hongbo Wang. China Multi-Generational Panel Dataset, Shuangcheng (CMGPD-SC), 1866-1913. ICPSR35292-v8. Ann Arbor: Inter-university Consortium for Political and Social Research [distributor], 2017-11-03. https://doi.org/10.3886/ICPSR35292.v8

Persistent URL: https://doi.org/10.3886/ICPSR35292.v8

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Funding

This study was funded by:

  • United States Department of Health and Human Services. National Institutes of Health. Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01HD070985)
  • Shanghai Jiao Tong University. School of Humanities
  • University of California-Los Angeles. California Center for Population Research
  • Hong Kong University of Science and Technology. School of Humanities and Social Science
  • Hong Kong Research Grants Council. General Research Fund (642911)

Scope of Study

Subject Terms:    agricultural production, agriculture, demographic characteristics, eighteenth century, family history, family structure, generations, historical data, households, immigrants, land distribution, nineteenth century, population characteristics, rural population

Smallest Geographic Unit:    historical village

Geographic Coverage:    Asia, China (Peoples Republic)

Time Period:   

  • 1866--1913

Date of Collection:   

  • 1985--2009

Unit of Observation:    Individual, Household, Village

Data Type(s):    administrative records data, census/enumeration data

Methodology

Sample:    The population records in the CMGPD-SC are transcribed from the Eight Banner population registers preserved in the Liaoning Provincial Archives, which are also available digitally worldwide through the Genealogical Society of Utah. Like the populations covered by the CMGPD-LN dataset, the CMGPD-SC population also belonged to the Eight Banners, a civil and military administrative system established by the Qing dynasty (1644-1911) to govern the Manchurian and Mongolian provinces in Greater North and Northeast China and the Qing garrison populations in China proper. Specifically, the populations covered by CMGPD-SC were bannermen who previously lived in Beijing and the various garrisons located in Rehe and present day Liaoning and Jilin provinces. These populations moved to Shuangcheng between 1815 and 1838 under a government-organized migration. The population lived in 120 villages in Shuangcheng county in present day Heilongjiang in northeast China. The CMGPD-SC follows individuals prospectively with time-varying characteristics available annually for metropolitan and rural bannermen, who comprise over four-fifths of the CMGPD-SC population, and triennially for 'floating' bannermen, who comprise almost all the remaining population. The timing of key economic, social, family, and demographic events and transitions can thus be ascertained. Contextual information as to community and household are also available at regular intervals. The CMGPD-SC also contains rare longitudinal information on property in the form of individual landholding, which distinguishes it from many other comparable historical data sources, including the CMGPD-LN.

Time Method:    Longitudinal: Panel: Interval , Time Series: Discrete

Mode of Data Collection:    record abstracts

Data Source:

Population registers

Land registers

Extent of Processing:   ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection:

  • Created variable labels and/or value labels.
  • Standardized missing values.
  • Checked for undocumented or out-of-range codes.

Version(s)

Original ICPSR Release:   2014-07-24

Version History:

  • 2017-11-03 A new and updated User Guide replaced the previous User Guide.
  • 2017-04-06 The collection has been updated to include two additional filesets: the Occupational File (dataset 8) which contains respondents' job titles, and the Grain Price File (dataset 9).
  • 2016-02-16 Updated Training Guide and User Guide PDF documents have been added to the collection.
  • 2016-01-04 The variable HOUSEHOLD_ID has been added to Dataset 1 of this collection.
  • 2015-10-26 This collection has been updated to include two additional filesets: the Landholding File (dataset 6), and a restricted version of the Landholding File (dataset 7) which contains additional personal information from landholders. Additionally, all documentation files have been updated to correct P.I. affiliations in the document covers. Finally, all files for datasets 1 and 2 have been updated to reflect new dataset names.
  • 2015-02-09 A public-use version of the Restricted Release (Dataset 2) codebook has been added.
  • 2015-02-05 The study documentation has been updated to correct time periods.

Related Publications

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