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dc.contributor.advisorValerie J. Karplus.en_US
dc.contributor.authorWilson, Danielle L. S.M. Massachusetts Institute of Technologyen_US
dc.contributor.otherTechnology and Policy Program.en_US
dc.coverage.spatiala-cc-pe a-cc-tn a-cc-hpen_US
dc.date.accessioned2018-04-27T17:55:01Z
dc.date.available2018-04-27T17:55:01Z
dc.date.copyright2017en_US
dc.date.issued2017en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/115004
dc.descriptionThesis: S.M. in Technology and Policy, Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, Technology and Policy Program, 2017.en_US
dc.descriptionThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.en_US
dc.descriptionCataloged from student-submitted PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 93-96).en_US
dc.description.abstractThis thesis focuses on the drivers of regional development and environmental control decisions in the iron and steel industry in the Beijing-Tianjin-Hebei region of China. The analysis presented includes (1) a county-level econometric analysis of the geographic distribution of the iron and steel industry between 2004 and 2009 in Hebei province and (2) a firm-level case study that analyzes the value of a flexible space option for a hypothetical, relocated steel plant that faces uncertainty in the timing and stringency of future environmental policy. Results from the econometric analysis of industrial distribution show a significant negative relationship between the initial rate of economic growth of a county, measured in Gross Domestic Product (GDP) change between 2004 and 2005, and growth of iron and steel shares in that county between 2005 and 2009. Results also show a significant negative relationship between population density in 2005 and both growth and concentration of iron and steel industrial shares. These results provide regional context and a descriptive baseline for a stylized case study. Inspired by the government-mandated relocation of major steel company Shougang in advance of the 2008 Beijing Olympics, the case study uses real options analysis to evaluate the value of a flexible option to install flue-gas desulfurization (FGD) technology for sulfur dioxide (SO₂) removal in response to uncertain developments in environmental policy. Case study results show a significant increase in the NPV of a steel facility that has the ability to employ the flexible option to construct an FGD system in the face of policy that begins in year six. This result is sensitive to policy timing, FGD space cost, and future FGD costs. Insights from this analysis are designed to help policymakers understand past patterns of industry evolution and environmental decision-making in firms during a period of very rapid economic development. This understanding can be used to identify ways to increase the effectiveness of environmental regulations in dynamic, rapidly-developing China.en_US
dc.description.statementofresponsibilityby Danielle L. Wilson.en_US
dc.format.extent96 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectInstitute for Data, Systems, and Society.en_US
dc.subjectEngineering Systems Division.en_US
dc.subjectTechnology and Policy Program.en_US
dc.titleImpacts of environmental policy in China's Beijing-Tianjin-Hebei region : a case study of the iron and steel industryen_US
dc.title.alternativeCase study of the iron and steel industryen_US
dc.typeThesisen_US
dc.description.degreeS.M. in Technology and Policyen_US
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Data, Systems, and Society.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Engineering Systems Division.en_US
dc.contributor.departmentTechnology and Policy Program.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Engineering Systems Division
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Data, Systems, and Society
dc.contributor.departmentMassachusetts Institute of Technology. Technology and Policy Program
dc.identifier.oclc1031848936en_US


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