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Massachusetts Institute of Technology

Informal debt contract and consumption : evidence from the vehicle scrappage program/

Abstract

dc:description.abstract

This paper evaluate the influence of household heterogeneity on their decisions to take up the vehicle scrappage program (VSP) in China. The presence of debt owed to family and friends (DOFF) on household balance sheet significantly reduces the takeup rate of the cash for clunkers program in China, by approximately 1.57%. Moreover, this effect is stronger among households without a schedule for DOFF repayment, a formal debt contract, or positive interest rate. This suggests that informal finance can have shadow cost due to informal debt's potential recall risk, and non-pecuniary costs in the forms of social sanction. Moreover, I exploit a unique rebate mechanism of the VSP in China to show that the program design and household liquidity together play a big role in determining the take-up rate of the vehicle scrappage program.

Degree

thesis:*
Department dc:contributor.department
Sloan School of Management
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2018

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Lu, Fangzhou. Ph. D. Sloan School of Management
Advisor dc:contributor.advisor
  • Jonathan Parker.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • MIT 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.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/115650
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/115650

Chain of custody

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

Lu, Fangzhou. Ph. D. Sloan School of Management. Informal debt contract and consumption : evidence from the vehicle scrappage program/. Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/115650