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Power Relations at the Alley Level


Data for Chapter 4 in Roots of the State: Neighborhood Organization and Social Networks in Beijing and Taipei (Stanford University Press, 2012) PROJECT SUMMARY: Drawing on participant observation, surveys, and interviews in Beijing and Taipei, the book from which the activated chapter was drawn shows that state-sponsored neighborhood organizations remain salient and deeply rooted in ce

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Suggested Citation

Read, Benjamin L. (2015) Data for: “Power Relations at the Alley Level” (93-131). Roots of the State: Neighborhood Organization and Social Networks in Beijing and Taipei. 2012. Stanford, CA: Stanford University Press. Active Citation Compilation, QDR:10051. Syracuse, NY: Qualitative Data Repository [distributor].

PID QDR:10051 project
Geography China, Taiwan, Beijing, Taipei
Topic clientelism, community, neighborhoods, organizations, social networks, state-society relations
Creator Benjamin L. Read
Collection Type Active Citation compilation
Version Original (Pilot Project)
Date 1998-01-01 to 2011-12-31
Temporal Coverage 1998-01-01 to 2011-12-31
Rights The data are somewhat sensitive. The data from resident interviews and observation in neighborhoods concern everyday dealings with the state, some of which are innocuous, some of which involve some degree of wrongdoing or deception (corruption or defiance of authorities, for example.) They are quite personal. For both cities, the author has given pseudonyms to all interviewees and informants as well as their neighborhoods, and has obscured details that would obviously identify them. Generally, promises were given to all research subjects that they would not be named or identified without their permission. Since the aim of this active citation collection is to allow the author to stay true to this promise, there might be additional limitations imposed on access to some files.
Publisher Qualitative Data Repository
DOI 10.5064/F6X63JTZ
Please contact QDR ( to inquire about the possibility of conditional access to the files of this data project.