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Massachusetts Institute of Technology

China Urban Pollution Information Disclosure Study (CUPIDS) : socioeconomic implications of dirty industry and a guide to national cleandustrialization

Abstract

dc:description.abstract

It is now common knowledge that China's data is bad, and China's environment is polluted. In this paper I develop a simple pollution intensity index to test China's existing national and local environmental data, to answer the questions: "Bad" how? "Polluted" why? And finally: what can be done? I find that China's existing data is rudimentary, piecemeal, and inaccurate. I find that government data is not detailed, not transparent, and that non-governmental attempts at improving data quality and transparency are hamstringed by lack of official support. These data quality and transparency issues contribute to the intractability of China's industrial pollution. I also find that a pollution intensity index, like the one I develop and test in this study, can help policymakers identify pollution hotspots years before the hotspots worsen into public health emergencies. By running 2010 data through a simple algorithm, I isolate a pollution hotspot that took the Chinese government until 2013 to discover without this framework. I show that better and more accurate data, along with a mandate for continuous monitoring and analysis, can shift the current strategy from pollution control to pollution prevention, ultimately saving time, money, and lives.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Urban Studies and Planning.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2013

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Chu, Yang, M.C.P. Massachusetts Institute of Technology
Advisor dc:contributor.advisor
  • Karen R. Polenske.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/81627
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/81627

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Chu, Yang, M.C.P. Massachusetts Institute of Technology. China Urban Pollution Information Disclosure Study (CUPIDS) : socioeconomic implications of dirty industry and a guide to national cleandustrialization. Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/81627