China Multigenerational Panel Datasets Workshop, UCLA, Los Angeles, CA, January 6-8, 2016.

We are pleased to announce a workshop to be held January 6-8, 2016 to introduce the China Multigenerational Panel Datasets (CMGPD). These are major resources for the study of demography, stratification, and family. The workshop will feature the China Multigenerational Panel Dataset-Shuangcheng (CMGPD-SC), the release of which is nearing completion, as well as the previously released China Multigenerational Panel Dataset-Liaoning (CMGPD-LN). The workshop will be held at the California Center for Population Research at the University of California, Los Angeles.

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. Distinguishing features of the CMGPD-SC include linked records of household landholding, registered ethnicity, and better registration of unmarried daughters than most microdata for pre-20th century Chinese populations.

The China Multigenerational Panel Dataset-Liaoning (CMGPD-LN), which will also be reviewed, provides 1.6 million triennial observations of approximately 250,000 individuals who lived in what is now Liaoning province between the middle of the 17th century and the beginning of the 20th century. The most distinctive feature of the CMGPD-LN is its time depth, with many families covered for as many as seven generations, and its geographic breadth, covering villages spread across an area the size of the Netherlands or New Jersey.

More information about the CMGPD datasets are available at their page at ICPSR. Details of the origin and basic characteristics of the CMGPD-LN are available in its User Guide. A User Guide is also available for the CMGPD-SC.

The workshop is intended to allow interested researchers to assess the suitability of the CMGPD for their research topics, and provide current users with additional insight into key features that may affect their use of the data or their interpretation of results. No prior quantitative training or knowledge of Chinese history is required. The workshop will not provide instruction in quantitative analysis or data management, and anyone seeking such training should go elsewhere.

At the workshop, sessions will introduce the background and context of the populations covered by the data, review the key features, outline its strengths and limitations, and assess its suitability for the study of a variety of topics in demography, sociology, and economics. Particular emphasis will be on the longitudinal and multi-generational features of the data. The workshop will provide examples of how the data may be manipulated to take advantage of longitudinal and kinship linkage to produce variables for specific research applications.

Schedule

The workshop will be in the California Center for Population Research Seminar Room, Public Policy 4202.

Overview of the CMGPD – Wednesday, January 6, 2015

  • 9AM-9:30AM Welcome and participant self-introductions
  • 9:30AM-10:30AM Unique features of the CMGPD, including comparisons to other datasets
  • 10:30AM-10:45AM Break
  • 10:45AM-11:30AM Comparison of the CMGPD-SC and CMGPD-LN
  • 11:30AM-2PM Lunch (not provided)
  • 2PM-3:30PM Format and basic structure of the CMGPD
  • 3:30PM-3:45PM Break
  • 3:45PM-5PM Limitations of the CMGPD to be aware of when considering use

Contents of the CMGPD – Thursday, January 7, 2015

  • 9AM-10:30AM Demographic outcomes
  • 10:30AM-10:45AM Break
  • 10:45AM-12 Noon Household context variables
  • 12 Noon-1:30PM Lunch (not provided)
  • 1:30PM-3:15PM Social, economic and institutional status variables
  • 3:15PM-3:30PM Break
  • 3:30PM-4:30PM Constructed kinship variables
  • 4:30PM-5PM Geographic context variables

Advanced operations with the CMGPD – Friday, January 8, 2015

  • 9AM-10:30AM – Identifier variables for use in linkage
  • 10:30AM-10:45AM – Break
  • 10:45AM-12 Noon – Constructing life history, kinship, and community contextual variables
  • 12 Noon-1:30PM Lunch (not provided)
  • 1:30PM-3:15PM Examples of applications
  • 3:15PM-3:30PM Break
  • 3:30PM-5PM Participant presentations and general Q&A

Recommended reading/viewing

Please read or view as much as possible of the following in advance of the workshop, and come prepared with questions..

Applying

We will be being able to provide some support for travel expenses to registered participants. Applicants have an opportunity to indicate need for support at the application portal.

There is no fee for attendance, but prospective participants must complete a simple application and submit some basic documentation.

The application portal is now open. We are still considering applications. We will normally respond to completed applications within a day or two.

If you have questions, please email me at camcam@ust.hk.

Acknowledgements

The workshop is being organized by the Data Sharing for Demographic Research (DSDR) project at the Interuniversity Consortium for Political and Social Research (ICPSR). DSDR is a project supported by the Population Dynamics Branch (PDB) of the Eunice Kennedy Shriver National Institute of Child Health and Human Development (U24 HD048404). The UCLA California Center for Population Research (CCPR) is providing the venue as well as logistical support. CCPR receives population research infrastructure funding (R24HD041022) from the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD).

Preparation of the CMGPD-SC and accompanying documentation for public release via ICPSR DSDR was supported by the National Institutes of Health, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) Grant no. R01 HD070985 “Multi-generational Demographic and Landholding Data: CMGPD-SC Public Release.”

Rewriting the Past: Historical Big Data and a Scholarship of Discovery

School of Humanities and Social Science
The Hong Kong University of Science and Technology
Clear Water Bay, Kowloon
Hong Kong S.A.R.

9-10 June 2014

Meeting program as a PDF

Organized by Cameron Campbell (HKUST), James Lee (HKUST), and Bin Wong (UCLA) with support from the HKUST-UCLA Collaborative Faculty Grant Program.

This two-day meeting brings together researchers who are constructing and analyzing large collections of historical East Asian micro-data. Participants include researchers working with household registers and genealogies, educational and examination records, GIS and spatial data. These records are drawn from a variety of settings in China, Japan and Korea. By introducing our projects to each other, we hope to identify potential areas for comparison in research and cooperation in training in relevant social science and humanities disciplines such as history, economics, demography, and sociology, as well as potentially related disciplines such as development economics and public health.

We have organized this meeting in response to recognition that the quantitative study of history is changing. In East Asia as elsewhere, the ability to create, analyze, and share large, complex datasets from archival and other sources is transforming the quantitative study of history. Detailed analysis of these new databases allows for new focus on describing and understanding complex patterns of similarity and difference across time and space. This represents a major departure from traditional approaches to quantitative history, which emphasized estimation of aggregate indices to be used in cross-national comparisons and reconstruction of trends.

Session I, on day one, will be devoted to Introductions to Sources. These are brief, broad overviews of each source that help provide a context for the detailed discussion for the roundtables on specific types of variables. These overviews do not need to provide comprehensive overviews of the contents of different datasets, since that should come out during the roundtables. The presentations will include one from Ken Smith, the Director of the Utah Population Database, one of the largest and longstanding such data collections in the world.

Session II, on days one and two, will be devoted to a series of roundtable discussions of Shared Research and Training Interests. The goal of the roundtables is to identify areas for future comparison and collaboration. In addition to summarizing relevant variables in their existing data, participants are welcome to identify relevant sources that could be transcribed and linked to produce additional variables. We encourage participants to prepare one or two page handouts for each of the roundtables they will contribute to that list these variables, along with key features. Initial contributions to roundtable discussion may be brief reviews of the material in the handouts, leaving time for discussion. Participants are encouraged to send in background materials introducing their data to be distributed in advance of the meeting.

Session III, on day two, will be devoted to Graduate Student Presentations. Students will present work on progress using novel datasets.

June 9, 2014 (Monday)

 

Venue: The Hong Kong University of Science and Technology

Time

   

8:30am

Coffee and light refreshments

 

9:00am

Welcoming remarks and overview

James Lee, Cameron Campbell

 

Session I: Introductions to Sources

Session Chair: Satomi Kurosu

9:10am

East Asian Historical Population Registers

Hao Dong, Satomi Kurosu, Wenshan Yang

9:30am

The Past and Future of Historical Demography in Korea

Sangkuk Lee and Byunggiu Son

9:50am

集体化时期山西农村档案资料中的数据运用及其考证 (Use of Data from Collectivization-era Rural Shanxi Archival Materials for Research)

Yingze Hu

10:10am

The Utah Population Database

Ken Smith

10:30am

Break

 

10:40am

Careers of Qing Officials in the Jinshenlu

Yuxue Ren

     

11:00am

科举文献可供计量研究的方面 (Possibilities for Quantitative Research with Keju documents)

Haifeng Liu

11:20am

Introduction to the Database of Chambers of Commerce in Modern China

Haiyan Fu

11:40am

The Yellow River and the Northern Frontier: Spatial Analysis and Big Data for Environmental History

Ruth Mostern

12 Noon

Data on the Social Origins of Republican-era College Students

Hongbo Wang, James Lee

12:20 Noon

Lunch

 
     

1:20pm

Open discussion of Session I Introduction to Sources

 
     
 

Session II: Roundtable Discussions of Shared Research and Training Interests

 
     

2:20pm

Roundtable: Family Organization and Demographic Behavior

Moderator: Ruth Mostern

 

Emphasis on family and demographic outcomes such as health, disability, adoption, migration, and marriage type that are rarely considered in traditional studies of historical demography.

 

Discussion leaders:

S. Kurosu: adoption, marriage, migration in SAC/33NAC

C. Campbell: adoption, disability, migration in the CMGPD

S. Lee/B. Son: Korean sources

W. Yang: Taiwan household registers

 

 

3:20pm

Break

 

3:30pm

Roundtable: Education/employment

 

Occupation, position or title, educational attainment, literacy, social class

Moderator: James Lee

 

S. Chen: Positions and titles in the CMGPD-SC

H. Wang, E. Zang: Republican-era and post-1949 college students

 

4:30pm

Roundtable: Inequality and Land Distribution

 

Landholding, possessions

Moderator: Cameron Campbell

 

Discussion leaders:

 

S. Chen: Landholding in CMGPD-SC

M. Noellert: Landholding data in 20th century Shuangcheng
Y. Hu: Landholding in the Shanxi data

 

7pm

Dinner

 

 

June 10, 2014 (Tuesday)

 

Venue: The Hong Kong University of Science and Technology

Time

   

8:30am

Coffee and light refreshments

 
     
 

Session II (Continued) : Roundtable Discussions of Shared Research and Training Interests

 
     

9am

Roundtable: Inequality and Social Categories

 

Institutional or administrative affiliations, ascribed characteristics, heritable social statuses, ethnicity

Moderator: Sangkuk Lee

10:00am

Roundtable: Collaborative Summer Training

Moderator: Wenshan Yang

10:50am

Break

 

11:00am

Roundtable: Comparison, collaboration, and funding

Moderator: Ken Smith

12:00pm

Lunch

 
     
 

Session III: Graduate Student Presentations

Chair: Bin Wong

     

1:00pm

Industrial sector and choice of major at Suzhou University

Emma Zang

1:20pm

Ethnicity, demographic behavior, and attainment in Shuangcheng

Bijia Chen

1:40pm

Between Civil Code and Commercial Custom: The Chinese General Chamber of Commerce and Partnership Liability
in Republican Shanghai

Xiaowen Hao

2:00pm

Multi-Generational Approaches to the Study of Kinship and Stratification

Xi Song

2:20pm

Break

 

2:30pm

The multi-generational effects of kinship and marriage networks on the social status of Yangban elite in Joseon Korea

Sangwoo Han

2:50pm

Huizhou Merchants: Trade Networks, Lineages, and Commercial Institutions, 1750-1911

Meng Zhang

3:10pm

The ‘Nanjing’ trade: Hokkien Merchants and the Rise of the Shanghai-Manila Route at the turn of the 19th Century

Guillermo Ruiz-Stovel

3:30pm

Break

 

3:40pm

Class labels and land reform in Shuangcheng

Matthew Noellert

4:00pm

The Modern Chinese banking industry and government bonds – study from the perspective of cliometrics

Jie Liu

4:20pm

Discussion of graduate student presentations

 

7:00pm

Dinner

 

 

 

PARTICIPANT ROSTER

Family name

Given name

 

Institution

Status

Campbell

Cameron

康文

HKUST

Faculty

Chen

Bijia

陈必佳

HKUST

MPhil Student

Chen

Shuang

University of Iowa

Faculty

Chen

Ting

HKUST

PhD Student

Cheng

Wei

Xiamen University

PhD Student

Dong

Hao

HKUST

PhD Student

Fu

Haiyan

付海

Central China Normal University

Faculty

Guillermo

Ruiz-Stovel

麥莫

UCLA

PhD Student

Han

Sangwoo

한상우

Ajou University

PhD Student

Hao

Xiaowen

郝小雯

HKUST

MPhil Student

Hu

Yingze

胡英

Shanxi University

Faculty

Kurosu

Satomi

里美黑

Reitaku University

Faculty

Lee

James

李中

HKUST

Faculty

Lee

Sangkuk

이상

Ajou University

Faculty

Liu

Haifeng

刘海

Xiamen University

Faculty

Liu

Jie

刘杰

Central China Normal University

PhD Student

Liu

Guanglin

劉光

HKUST

Faculty

Mostern

Ruth

馬瑞

UC Merced

Faculty

Noellert

Matthew

倪志

HKUST

PhD Student

Ren

Yuxue

任玉

Shanghai Jiaotong University

Faculty

Smith

Ken

 

University of Utah

Faculty

Son

Byunggiu

손병

Sungkyunkwan University

Faculty

Song

Xi

宋曦

UCLA

PhD Student

Wang

Hongbo

汪洪

HKUST

Faculty

Wong

Bin

王国

UCLA

Faculty

Yang

Wenshan

楊文

Academia Sinica

Research Fellow

Zang

Shaolu

臧晓露

HKUST

MPhil Student

Zhang

Meng Ang

UCLA

PhD Student

 

Evaluations from Sociology 116 in Winter 2013

UCLA has been shifting to on-line evaluations.  In the last few weeks, students are prompted to visit a website where they can rate the course and offer feedback.  This quarter I offered an incentive to students to complete their evaluations: I offered a very small amount of credit to the students who were recorded as having completed the evaluations.  I was able to do this because we were told in advance that we receive a list of students who completed evaluations.  Obviously I couldn’t see anybody’s individual responses. Individual responses were anonymous.  I was only able to see the aggregated responses once I had submitted grades.

With this incentive, the response rate was the highest I have ever had for student evaluations: 83 percent.  Previously, when students filled in evaluations by bubbling in forms during lecture, response rates were typically 30 to 40 percent.  I guess I am somewhat surprised that even with the offer of a little bit of credit, 17 percent of the class didn’t bother to fill out an evaluation.  Go figure.

Interestingly, the results with the higher response rate are broadly similar to ones I have received before, with the lower response rate, and the manual forms.  The comments in the feedback are also in line with what I’ve seen in the way of handwritten feedback: well-organized, material is dry, somewhat boring.  Students’ views about whether I am a nice person or not seems to depend on what kind of interaction they had with me: some way say that I am very nice and considerate, and others saying I am not so nice and considerate.  I’m a big fan of transparency, so here is the summary report I downloaded from the course website, after I posted grades:

Course evaluations from W13 Sociology 116

And here is the summary report from my last offering of the class:

http://camerondcampbell.me/2012/01/course-evaluations-from-fall-2011-offering-of-social-demography-sociology-116/

As it always the case, I am also mystified by the students’ stated expectations re their grades.  By the time they fill out the evaluations, it is close to the end of the quarter, and the students know most of their scores.  And I specify the scale in the syllabus.  Students certainly have enough information to make a more informed assessment of their probable grade.  As a number of students noted in their written feedback, the grade it based on many small pieces that accumulate over the course of the quarter, so by week 10, it is usually fairly clear where things are headed.  This quarter, there were certainly a lot more B and C grades at the end than suggested by the distribution of students’ expected grades.  Interestingly, the distribution looked a lot more like the students’ distribution of reported GPAs.

Sociology 285A Contemporary Chinese Society (W13) Syllabus

Sociology 285A
Contemporary Chinese Society
Winter 2013 

Thursday, 1-4pm, Haines 215

Course website at Social Science computing

Registrar’s listing

Subject to revision. 

INSTRUCTOR

Cameron Campbell, 202 Haines, x51031. camcam@ucla.edu.If you send email, please include “181B” in the subject line, without the quotes.Office Hours: TBA. I am normally in my office 9-5 Monday to Friday, unless I am teaching, in a meeting, or out of town. If you would like to schedule an appointment, first check my calendar at http://www.camerondcampbell.me/calendar.

INTRODUCTION

This graduate seminar will survey changes in Chinese society from the middle of the twentieth century to the present, focusing on family and household, population, social mobility and inequality. Wherever relevant, there will be discussion of historical context.  The discussion of population will focus on the causes and long-term consequences of recent low levels of fertility. The discussion of social mobility and inequality will emphasize the intergenerational transmission of status, the role of institutional factors such as the household registration system, and current trends and patterns in long-term historical context.  Discussion family and household and population will on the interactions with economic and political context. Major themes of the class will be contrasts and similarities between Chinese and Western society, sources and methods for the quantitative study of Chinese society, and the place of China in the social sciences.

The course is intended as a broad survey of recent work in the study of Chinese society.  Graduate students from outside sociology, or who are unfamiliar with quantitative methods are welcome to enroll.  The course will be enriched by the presence of students from different disciplines and with expertise in different methodologies.  Even though much of the assigned reading is quantitative, no prior training in quantitative or demographic methods is necessary.

REQUIREMENTS

Students will complete a final research paper on a topic relevant to Chinese society chosen in consultation with the instructor.  Students should have finalized their choice of topic by the third week of class.  Drafts of the papers are to be circulated in advance of the final class meeting, and will be discussed at that meeting.  Discussion of each paper will consist of a brief introduction by the student, followed by comments and questions from other students.

The research paper may consist of original analysis of quantitative data, a new literature review on a subject relevant to contemporary Chinese society, or a research proposal.  Students currently already working on a topic related China are welcome produce a paper from their research in progress, but the paper must be original and written specifically for the class.  Students may not turn in a paper that has already been submitted for credit in another class.

Attendance is required at all class sessions, except for excused absences.

Every week, students are required to post a short essay in advance of the class meeting discussing the reading and suggesting topics for class discussion.  Prompts will be posted every week as a guide for writing for the following week.

REQUIRED TEXTS

LEE, James Z. and WANG Feng. 1999. One quarter of humanity. Malthusian mythology and Chinese realities. Cambridge: Harvard University Press.

YAN Yunxiang. 2003. Private Life Under Socialism. Stanford: Stanford University Press.

Journal articles and other readings will be available online via JSTOR or other electronic resources. Many if not most of these will require that you be connected to the internet from a computer on the UCLA campus, or a computer running the UCLA VPN or proxy server. If you are unable to run the VPN or proxy server, I suggest you make a point of downloading the readings while you are on campus. If you prefer to print them at home, you can store them on a portable hard drive or email them to yourself. There will be no course reader.

Over the course of the quarter, I will also forward links to newspaper and magazine articles on issues related to the topics of the course. Please read these articles. If you come across any articles in the news on topics related to the course, including population, family change, and inequality, please send me the links and I may forward them to the class. China is changing rapidly and in many cases the scholarly literature is somewhat behind developments there.

OPTIONAL TEXTS

These are highly readable non-academic works of fiction and non-fiction that are useful accompaniments for anyone who has not lived, worked, or studied in China, or who has not taken any relevant courses.  They providing background by describing important features of contemporary society in an accessible and engaging way.  They are not scholarly works, however, and are not substitute for the required readings.

Chang, Leslie. 2008. Factory Girls: From Village to City in a Changing China. Spiegel and Grau.

Hessler, Peter. 2010. Country Driving. Harper.

Hessler, Peter. 2001. River Town: Two Years on the Yangtze. Harper.

Hessler, Peter. 2006. Oracle Bones. Harper.

Pomfret, John. 2006. Chinese Lessons. Henry Holt.

Qiu Xiaolong. 2003.  Death of a Red Heroine. Soho Press.

SCHEDULE

The schedule and the readings are subject to revision.  Depending on the mix of student interests, I may expand coverage of some topics, or add or delete topics.  I welcome suggestions for readings from enrolled students.

Readings will also be divided into required and optional.

Week 1

Why study Chinese society?
China as an object of study in the social sciences
Chinese population in the past
How do we study China’s population history? Sources and methods.
Fertility and reproduction before the 20th century

Lee and Wang, Chapters 1, 2, 3-6.

Campbell, Cameron and James Lee. 2002 (publ. 2006). “State views and local views of population: Linking and comparing genealogies and household registers in Liaoning, 1749-1909.” History and Computing. 14(1+2):9-29. [LINK]

Week 2
Contrasts with the west
Was China really in a Malthusian trap before the 20th century?
Fertility change after 1949, the Later-Longer-Fewer and One-Child Policies
Sex Imbalances in Births 

Lee and Wang, Chapters 7-9

Cai Yong and William Lavely.  2003.  “China’s missing girls: Numerical estimates and effects on population growth.”  The China Review.  3(2):13-29.  http://www.chineseupress.com/promotion/China%20Review/vol3_2_files/2.%20Y-Cai.pdf

Cai Yong. 2010. “Social Forces behind China’s below Replacement Fertility: Government Policy or Socioeconomic Development.” Population and Development Review. 36(3):419-440.  http://onlinelibrary.wiley.com/doi/10.1111/j.1728-4457.2010.00341.x/abstract

Coale, Ansley and Judith Banister. 1994. “Five decades of missing females in China.” Demography. 31(3): 459–479. http://www.springerlink.com/content/d2388757126251wl/

Ebenstein, Avraham.  2010.  “The `Missing Girls of China and the Unintended Consequences of the One Child Policy.”  The Journal of Human Resources.  45(1):87-115.  http://jhr.uwpress.org/content/45/1/87.full.pdf

Goodkind, Daniel. 2011. “Child underreporting, fertility, and sex ratios imbalance in China.” Demography. 48(1): 291-316. http://www.springerlink.com/content/j730l552383u2860/

Gu Baochang, Wang Feng, Guo Zhigang, and Zhang Erli. 2007. “China’s local and national fertility policies at the end of the twentieth century.” Population and Development Review. 33(1):129-148. http://onlinelibrary.wiley.com/doi/10.1111/j.1728-4457.2007.00161.x/abstract

Lavely, William.  1986.  “Age Patterns of Chinese Marital Fertility, 1950-1981.” Demography.  28(3):419-434.  http://www.jstor.org/stable/2061439

Lavely, William and Ronald Freeman.  1990.  “The Origins of the Chinese Fertility Decline”  Demography.  27(3):357-367  http://www.jstor.org/stable/2061373

Week 3
Recent Trends in Fertility, and Prospects for the Future
What is China’s fertility rate?
The debate over the One-Child Policy 
Consequences of imbalanced sex ratios
Low fertility and future population aging

Attané, Isabelle. 2006. “The Demographic Impact of a Female Deficit in China, 2000-2050.” Population and Development Review. 32(4):755-770.  http://onlinelibrary.wiley.com/doi/10.1111/j.1728-4457.2006.00149.x/abstract

Cai Yong. 2008. “An assessment of China’s fertility level using the variable-r method.”Demography. 45(2): 271-281. http://muse.jhu.edu/journals/demography/v045/45.2.cai.html

Guilmoto, Christophe. 2012. “Skewed Sex Ratios at Birth and Future Marriage Squeeze in China and India, 2005-2100.” Demography. 49:77-100.   http://www.springerlink.com/content/98h134228387130p/

Morgan, S. Philip, Guo Zhigang, and Sarah R. Hayford.  2009.  “China’s below-replacement fertility: Recent trends and future prospects.”  Population and Development Review.  35(3):605-629.  http://onlinelibrary.wiley.com/doi/10.1111/j.1728-4457.2009.00298.x/abstract

Wang Feng. 2005. “Can China afford to continue its one‐child policy?” Asia Pacific Issues. 77: 1‐12. Honolulu: the East‐West Center.  http://scholarspace.manoa.hawaii.edu/handle/10125/3796

Wang Feng.  2011.  “The Future of a Demographic Overachiever: Long-Term Implications of the Demographic Transition in China.”  Population and Development Review.  37(S1):173-190. http://onlinelibrary.wiley.com/doi/10.1111/j.1728-4457.2011.00383.x/abstract

Wang Feng and Andrew Mason. 2007. “Population aging in China: Challenges, opportunities, and institutions.” In Zhongwei Zhao and Fei Guo eds. Transition and Change: China’s Population at the Turn of the Twenty‐First Century. Oxford University Press, 177‐196.

Zheng Zhenzhen, Yong Cai, Wang Feng and Gu Baochang. 2009. “Below-replacement fertility and childbearing intention in Jiangsu province, China”. Asian Population Studies. 5(3):329-347. http://www.tandfonline.com/doi/abs/10.1080/17441730903351701

Zhongwei Zhao and Wei Chen. 2011. “China’s far below-replacement fertility and its long-term impact: Comments on the preliminary results of the 2010 census.” Demographic Research. 25(26): 819-836. http://www.demographic-research.org/Volumes/Vol25/26/25-26.pdf

Week 4

Migration

Bo Wen et al. 2004. “Genetic evidence supports demic diffusion of Han culture.”  Nature.  431:302-305.  http://www.nature.com/nature/journal/v431/n7006/abs/nature02878.html

Chen Shujuo.  2009.  “How Han are Taiwanese Han? Genetic inference of Plains Indigenous ancestry among Taiwanese Han and its implications for Taiwan identity.” PhD Dissertation, Stanford University, AAT 3343568.

Fan, Cindy. 2002. “The Elite, the Natives, and the Outsiders: Migration and Labor Market Segmentation in Urban China.” Annals of the Association of American Geographers. 92(1):103-124. http://www.tandfonline.com/doi/abs/10.1111/1467-8306.00282

Fan, Cindy, Mingjie Sun, Siqi Zheng. 2011. “Migration and split households: a comparison of sole, couple, and family migrants in Beijing, China.” Environment and Planning. 43: 2164-2185. http://www.envplan.com/epa/fulltext/a43/a44128.pdf

Fan, C. Cindy, and Youqin Huang. 1998. “Waves of Rural Brides: Female Marriage Migration in China.” Annals of the Association of American Geographers. 88(2):227–251. http://www.jstor.org/stable/10.2307/2564209

Goodkind, Daniel.  2002.  “China’s Floating Population: Data, Definitions, and Recent Findings.”  Urban Studies.  39(12):2237-2250.

Liang Zai and Yiu Por Chen. 2007. “The educational consequences of migration for children in China.” Social Science Research. 36(1):28-47.  http://www.sciencedirect.com/science/article/pii/S0049089X05000475

Park, Albert and Deven Wang. 2010. “Migration and urban poverty and inequality in China.” China Economic Journal. 3(1):49-67. http://www.tandfonline.com/doi/abs/10.1080/17538963.2010.487351

Week 5

Family, household and kinship

Whyte, Martin K. 2005. “Continuity and change in urban family life.” The China Journal. 53:9-33. http://www.jstor.org/stable/10.2307/20065990

Yan Yunxiang, Private Life Under Socialism

Yu Xie and Haiyan Zhu. 2009. “Do Sons or Daughters Give More Money to Parents in Urban China?” Journal of Marriage and the Family. 71(1):174-186. http://onlinelibrary.wiley.com/doi/10.1111/j.1741-3737.2008.00588.x/full

Week 6

Marriage and Divorce

Chen Shuang, Cameron Campbell, and James Lee. 2008. “Institutional, Household, and Individual Influences on Male and Female Marriage and Remarriage in Northeast China, 1749-1912” Center for Population Research Working Paper PWP-CCPR-2008-060. http://papers.ccpr.ucla.edu/papers/PWP-CCPR-2008-061/PWP-CCPR-2008-061.pdf

Han Hongyun. 2010. “Trends in educational assortative marriage in China from 1970 to 2000.” Demography Research. 22(24):733-770. http://www.demographic-research.org/volumes/vol22/24/22-24.pdf

Xu, X. and Whyte, Martin K. 1990. “Love matches and arranged marriages: A Chinese replication.” Journal of Marriage and the Family. 52(3): 709-722. http://www.jstor.org/stable/352936

Week 7 

Dating, Cohabitation,Sexuality

Parish, William L., Edward O. Laumann, and Sanyu A. Mojola.  2007.  “Sexual behavior in China: Trends and comparisons.”  Population and Development Review.  33(4):729-756.

Week 8

Stratification and inequality

Historical context and patterns
The role of family and kin groups
The influence of the examination system

Campbell, Cameron and James Lee. 2008 “Kinship, Employment and Marriage: The Importance of Kin Networks for Young Adult Males in Qing Liaoning.” Social Science History. 32(2):175-214. [LINK]

Campbell, Cameron and James Lee.  2011.  “Kinship and the Long-term Persistence of Inequality in Liaoning, 1749-2005.”  Chinese Sociological Review.  44(1):71-103.

Political status and inequality before the Reform era

Walder, Andrew G., Bobai Li and Donald J. Treiman. 2000. Politics and Life Chances in a State Socialist Regime: Dual Career Paths into the Urban Chinese Elite, 1949 to 1996. American Sociological Review. 65(2):191-209. [LINK]

Walder, Andrew G. 1995. Career Mobility and the Communist Political Order. American Sociological Review. 60(3):309-328. [LINK]

Inequality in the early years of economic reform

BIAN Yanjie and John Logan. 1996. “Market transition and the persistence of power: the changing stratification system in urban China.” American Sociological Review. 61(5):739-758. http://www.jstor.org/stable/2096451

Nee, Victor. 1996. “The emergence of a market society: Changing mechanisms of stratification in China.” American Journal of Sociology. 101(4):908-949. http://www.jstor.org/stable/2782234

ZHOU Xueguang. 2000. “Economic transformation and income inequality in urban China: evidence from panel data.” American Journal of Sociology. 105(4):1135-1174. http://www.jstor.org/stable/3003890

XIE Yu and Emily Hannum. 1996. “Regional variation in earnings inequality in reform-era urban China.” American Journal of Sociology. 101:950-92. http://www.jstor.org/stable/2782235

Week 9

Inequality and the household registration system (hukou)

WU Xiaogang and Donald J. Treiman. 2007. “Inequality and Equality under Chinese Socialism: The Hukou System and Intergenerational Occupational Mobility.” American Journal of Sociology. 113(2):415-45. http://www.journals.uchicago.edu/doi/pdf/10.1086/518905

WU Xiaogang and Donald J. Treiman. 2004. “The Household Registration System and Social Stratification in China, 1955-1996.” Demography. 41(2):363-384. http://www.jstor.org/stable/1515171

Week 10

Historical context for education
Educational expansion after 1949
The contemporary examination system
Emerging issues in access to education

DENG Zhong and Donald J. Treiman. 1997. “The impact of the cultural revolution on trends in educational attainment in the People’s Republic of China.” American Journal of Sociology. 103(2):391-428. http://www.jstor.org/stable/2782995

Zhou Xueguang, Phyllis Moen, and Nancy B. Tuma. 1998. “Educational stratification in urban China: 1949-1994.” Sociology of Education. 71:199-222. http://www.jstor.org/stable/2673202