TY - JOUR
T1 - Robust information for effective municipal solid waste policies
T2 - Identifying behaviour of waste generation across spatial levels of organization
AU - Torrente-Velásquez, Jorge M.
AU - Chifari, Rosaria
AU - Ripa, Maddalena
AU - Giampietro, Mario
N1 - Funding Information:
This original work was supported by the Government of Panama , the Instituto de Formación y Aprovechamiento de Recursos Humanos (IFARHU) , the Technological University of Panama (UTP) and the Secretaría Nacional de Ciencia , Tecnología e Innovación (SENACYT) of Panama. Authors acknowledge financial support from the Spanish Ministry of Science, Innovation and Universities , through the “María de Maeztu” program for Units of Excellence ( MDM-2015 0552 ). Authors are deeply grateful to Valēre Anna Espinal for her great contribution in statistical development of this paper, to the Zero Waste Program of the Municipality of Panama for valuable updated data, to Sandra Bukkens for reviewing English grammar and to the anonymous reviewers for their useful comments and suggestions. Authors declare no competing financial interests. This work reflects the authors’ view only, the funding agencies cannot be held responsible for any use that may be made of this work.
Publisher Copyright:
© 2019 Elsevier Ltd
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/2/15
Y1 - 2020/2/15
N2 - Existing studies have studied influencing factors of MSW generation behaviour at different spatial levels of organization, but always one at a time and not simultaneously. Income is a strong influencing factor, affecting MSW generation from the individual to the country level, capable of hiding the effects of the others. This study shows that when MSW generation behaviour is holistically analysed across multiple levels of organization (individuals, households, and communities) hierarchically organized as functional units of MSW generation within a specific study area, it is possible to identify influencing factors in addition to income (education, demographic, health, ethnic, economic activity and financial types) as explanatory variables. Increasing the number of influencing factors of MSW generation makes it possible to create a robust knowledge base for MSW management policies in fast-growing urban areas of developing countries, improving the information used to select proper policies and plans within their MSW management systems and avoiding overlapping policies causing legal gaps. Betania, an urban area of the Panama City district, has been chosen as a case study area. The results show that the household income explains 86% of its memberś MSW generation and the community indigenous population explains 21% of householdś MSW generation. It is concluded that MSW generation is not linear across levels, it has as many degrees of freedom as influencing factors shaping the levels of organization where functional units generating waste exist. Influencing factors appearing at each spatial level affects MSW generation in an interdependent manner in variable degrees of magnitude.
AB - Existing studies have studied influencing factors of MSW generation behaviour at different spatial levels of organization, but always one at a time and not simultaneously. Income is a strong influencing factor, affecting MSW generation from the individual to the country level, capable of hiding the effects of the others. This study shows that when MSW generation behaviour is holistically analysed across multiple levels of organization (individuals, households, and communities) hierarchically organized as functional units of MSW generation within a specific study area, it is possible to identify influencing factors in addition to income (education, demographic, health, ethnic, economic activity and financial types) as explanatory variables. Increasing the number of influencing factors of MSW generation makes it possible to create a robust knowledge base for MSW management policies in fast-growing urban areas of developing countries, improving the information used to select proper policies and plans within their MSW management systems and avoiding overlapping policies causing legal gaps. Betania, an urban area of the Panama City district, has been chosen as a case study area. The results show that the household income explains 86% of its memberś MSW generation and the community indigenous population explains 21% of householdś MSW generation. It is concluded that MSW generation is not linear across levels, it has as many degrees of freedom as influencing factors shaping the levels of organization where functional units generating waste exist. Influencing factors appearing at each spatial level affects MSW generation in an interdependent manner in variable degrees of magnitude.
KW - Influencing factors
KW - Multi-scale analysis
KW - Municipal solid waste generation
KW - Panama district
KW - Waste policies developing countries
UR - http://www.scopus.com/inward/record.url?scp=85077025591&partnerID=8YFLogxK
U2 - https://doi.org/10.1016/j.wasman.2019.12.032
DO - https://doi.org/10.1016/j.wasman.2019.12.032
M3 - Artículo
C2 - 31887693
AN - SCOPUS:85077025591
SN - 0956-053X
VL - 103
SP - 208
EP - 217
JO - Waste Management
JF - Waste Management
ER -