A household production approach to modeling household recycling effort Public Deposited

http://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/tb09j819w

Descriptions

Attribute NameValues
Creator
Abstract or Summary
  • Household recycling is an important means by which social costs of solid waste disposal may be reduced. These costs include energy and resource costs of collection and disposal as well as environmental costs from emissions from landfills, incinerators, and collection vehicles. In this thesis, a household production model is used to represent the decision faced by the household in determining the level of effort to commit to recycling activities. The decision regarding the level of effort the household commits to recycling is hypothesized to be a function of economic variables such as the cost of solid waste disposal and expenditure on goods for both direct consumption and as inputs into production in the home, as well as of the demographic characteristics of the household. Two empirical models are developed, using data collected by the Portland Metro Association. The first of these models specifies a linear relationship between recycling behavior and the economic and demographic variables in the model. The second model is somewhat more complex, making use of the indirect utility function of the household. Redacted for Privacy The results of the empirical analysis show that the greater the price change associated with increasing solid waste disposal volume, the greater the probability that the household will devote more effort to recycling. As well, the age and education of the female head of the household and the presence of a child in the home also affect the households decision to recycle. Household recycling may be encouraged by municipal planners by using an escalating price structure for solid waste disposal. Additionally, recycling programs should emphasize convenience over other considerations such as variety of materials collected.
Resource Type
Date Available
Date Copyright
Date Issued
Degree Level
Degree Name
Degree Field
Degree Grantor
Commencement Year
Advisor
Academic Affiliation
Non-Academic Affiliation
Subject
Rights Statement
Language
Digitization Specifications
  • File scanned at 300 ppi (Monochrome) using Capture Perfect 3.0.82 on a Canon DR-9080C in PDF format. CVista PdfCompressor 4.0 was used for pdf compression and textual OCR.
Replaces
Additional Information
  • description.provenance : Approved for entry into archive by Patricia Black(patricia.black@oregonstate.edu) on 2010-10-26T17:41:12Z (GMT) No. of bitstreams: 1 MartiniRoger1995.pdf: 937949 bytes, checksum: 7aaa60f37a31f5ab2dd719ff9cf7734d (MD5)
  • description.provenance : Submitted by Sergio Trujillo (jstscanner@gmail.com) on 2010-10-21T19:52:44Z No. of bitstreams: 1 MartiniRoger1995.pdf: 937949 bytes, checksum: 7aaa60f37a31f5ab2dd719ff9cf7734d (MD5)
  • description.provenance : Approved for entry into archive by Patricia Black(patricia.black@oregonstate.edu) on 2010-10-25T18:01:18Z (GMT) No. of bitstreams: 1 MartiniRoger1995.pdf: 937949 bytes, checksum: 7aaa60f37a31f5ab2dd719ff9cf7734d (MD5)
  • description.provenance : Made available in DSpace on 2010-10-26T17:41:12Z (GMT). No. of bitstreams: 1 MartiniRoger1995.pdf: 937949 bytes, checksum: 7aaa60f37a31f5ab2dd719ff9cf7734d (MD5)

Relationships

In Administrative Set:
Last modified: 08/08/2017

Downloadable Content

Download PDF
Citations:

EndNote | Zotero | Mendeley

Items