Skip to main content Accessibility help
×
Hostname: page-component-54dcc4c588-nx7b4 Total loading time: 0 Render date: 2025-10-02T06:04:42.976Z Has data issue: false hasContentIssue false

Appendix: Additional Notes on Data Collection

Published online by Cambridge University Press:  29 September 2025

Ning Leng
Affiliation:
Georgetown University, Washington DC

Information

Type
Chapter
Information
Politicizing Business
How Firms Are Made to Serve the Party-State in China
, pp. 185 - 188
Publisher: Cambridge University Press
Print publication year: 2025

Appendix: Additional Notes on Data Collection

Interview Sites

I conducted interviews in fifteen cities in five provinces (including Beijing) from February 2015 to August 2019. Interview sites cover four geographic areas: the capital city, the East, the South, and the Southwest. The selection of interview cities follows the principle of stratified sampling, with the cities varying along the dimensions of population size, economic development level, and industry composition. The East and the South are the two most developed regions in China, with the highest gross domestic product (GDP) level and the highest GDP per capita level, but different industrial organizations. The East has a larger service sector and the South has a larger manufacturing sector. Both have similarly high level of population density. The Southwest is among the poorer regions in China, relying more on agriculture and having a lower population density.

Interviews are organized into multiple waves. The first wave included thirty-four loosely structured interviews to generate hypotheses and develop a question bank, while the follow-up waves consisted of semi-structured interviews across all fifteen cities to test the hypotheses.

Figure A.101
Map of China with black triangles indicating specific locations.

Interviewees

Of the 256 interviewees, 41 percent are city government officials in charge of a public service sector, 46 percent are business executives and managers of companies providing these public services, and 13 percent are academics, nongovernmental organization managers, and journalists specializing in public services sectors.

Quantitative Data Collection for Key Variables

Firm Ownership

Ownership of individual firms is identified through a firm’s website, a firm’s annual report (if the firm is listed), or the State Administration for Industry and Commerce’s firm search engine (gsxt.saic.gov.cn/). A firm is coded as private if the majority shareholder is a private party or a foreign company. A firm is coded as state-owned if the majority shareholder is the city government or the State-owned Assets Supervision and Administration Commission at any government level. If the firm cannot be identified through all three channels, I categorize them by what news reports identify them as.

Deprivatization

Defined as a state-initiated process to procure the private bus firms in the urban bus sector. Only ownership change that targets all the private firms in a city, rather than selectively, is coded as deprivatization. Data are collected from local news reports, government-issued notifications, and media interviews with government officials. Chinese keywords used include: 国有化,收归国有,回归国有,取消民营,取缔民营,民营退出,公交整合。

Incineration Plants

I identify a total of 351 incineration plants in all Chinese cities, including those already built and those under construction by the end of 2017. This number is higher than the reported 287 incineration plants in the China Construction Yearbooks, because yearbooks only include plants already built by 2016. Incineration plants are identified through Chinese keyword searches by city name and year on Google, Baidu, city government websites, and environmental company websites.

Protest

Protest data are collected from two main sources. The first is the author’s Chinese keyword search on Google and Baidu by city, year, and sector (solid waste treatment and public transportation). Keywords indicating protests include 抗议,抗争,集会,聚集. The second source is Wickedonna, a news blogFootnote 1 that kept track of mass demonstrations in China via social media, including Twitter, Weibo, Blogspot, and YouTube, until it was censored in 2016.

I also referred to the Global Database of Events, Language, and Tone and the Social Unrest Database of the Chinese Academy of Social Sciences to check for possibly omitted protests. These two databases report fewer protests than my keyword searches in the solid waste sector and the public transportation sector.

Environmental Violations

Data are collected through keyword searches by city name and year on Google, Baidu, and Soubao. Keywords are combined with city, year, and sector in the searches. Chinese keywords indicating “inspection” and “violation” include 检查,检验,视察,违规,违法, 不达标,未达标,不合格,未合格。

Government Yearbooks

Control variables such as GDP, population size, and fiscal data are collected from government yearbooks, including the China Urban–Rural Construction Statistical Yearbooks, China Construction Yearbooks, China City Yearbooks, China Communications and Traffic Yearbooks, and Yearbooks of Public Transportation.

1 This blog is now moved to: https://newsworthknowingcn.blogspot.com/.

Footnotes

1 This blog is now moved to: https://newsworthknowingcn.blogspot.com/.

Accessibility standard: WCAG 2.0 A

The HTML of this book conforms to version 2.0 of the Web Content Accessibility Guidelines (WCAG), ensuring core accessibility principles are addressed and meets the basic (A) level of WCAG compliance, addressing essential accessibility barriers.

Content Navigation

Table of contents navigation
Allows you to navigate directly to chapters, sections, or non‐text items through a linked table of contents, reducing the need for extensive scrolling.
Index navigation
Provides an interactive index, letting you go straight to where a term or subject appears in the text without manual searching.

Reading Order & Textual Equivalents

Single logical reading order
You will encounter all content (including footnotes, captions, etc.) in a clear, sequential flow, making it easier to follow with assistive tools like screen readers.

Structural and Technical Features

ARIA roles provided
You gain clarity from ARIA (Accessible Rich Internet Applications) roles and attributes, as they help assistive technologies interpret how each part of the content functions.

Save book to Kindle

To save this book to your Kindle, first ensure no-reply@cambridge-org.demo.remotlog.com is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×