Modeling household participation rates in recycling programs: An analysis of spatio-temporal variations
Abstract
This study examines recycling as one option that is available to planners for managing municipal solid waste. Emphasis is placed on households to determine what can be done to improve participation rates in recycling program. Using longitudinal data from two communities in Broome County, New York, three causal models are developed to capture the factors that influence the household's decision-making process. The models are evaluated by the Linear Structural Equations Methodology (LISREL). Findings suggest that several factors are responsible for promoting or constraining participation rates: the operational policies of the recycling program; the demographic profile of residents; their attitudes towards the environment; their economic orientation; and their sources of information and awareness of the recycling program. Findings also indicate that recycling behavior varies across urban and suburban communities. These patterns are apparent during the implementation of the program. They are explained by differences in operational procedures, environmental attitudes, and the demographic attributes of residents. Using these results, new strategies are developed to assist policymakers in promoting higher participation rates among residents.
- Authors:
- Publication Date:
- Research Org.:
- Kent State Univ., OH (United States)
- OSTI Identifier:
- 5483497
- Resource Type:
- Miscellaneous
- Resource Relation:
- Other Information: Thesis (Ph.D.)
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 29 ENERGY PLANNING, POLICY AND ECONOMY; 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; RECYCLING; DECISION MAKING; SOLID WASTES; WASTE MANAGEMENT; ATTITUDES; DEMOGRAPHY; HOUSEHOLDS; OPERATION; MANAGEMENT; WASTES; 290300* - Energy Planning & Policy- Environment, Health, & Safety; 320604 - Energy Conservation, Consumption, & Utilization- Municipalities & Community Systems- Municipal Waste Management- (1980-)
Citation Formats
Lansana, F M. Modeling household participation rates in recycling programs: An analysis of spatio-temporal variations. United States: N. p., 1991.
Web.
Lansana, F M. Modeling household participation rates in recycling programs: An analysis of spatio-temporal variations. United States.
Lansana, F M. 1991.
"Modeling household participation rates in recycling programs: An analysis of spatio-temporal variations". United States.
@article{osti_5483497,
title = {Modeling household participation rates in recycling programs: An analysis of spatio-temporal variations},
author = {Lansana, F M},
abstractNote = {This study examines recycling as one option that is available to planners for managing municipal solid waste. Emphasis is placed on households to determine what can be done to improve participation rates in recycling program. Using longitudinal data from two communities in Broome County, New York, three causal models are developed to capture the factors that influence the household's decision-making process. The models are evaluated by the Linear Structural Equations Methodology (LISREL). Findings suggest that several factors are responsible for promoting or constraining participation rates: the operational policies of the recycling program; the demographic profile of residents; their attitudes towards the environment; their economic orientation; and their sources of information and awareness of the recycling program. Findings also indicate that recycling behavior varies across urban and suburban communities. These patterns are apparent during the implementation of the program. They are explained by differences in operational procedures, environmental attitudes, and the demographic attributes of residents. Using these results, new strategies are developed to assist policymakers in promoting higher participation rates among residents.},
doi = {},
url = {https://www.osti.gov/biblio/5483497},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Jan 01 00:00:00 EST 1991},
month = {Tue Jan 01 00:00:00 EST 1991}
}