Evaluating municipal solid waste management efficiency in Iceland: A data envelopment analysis of socioeconomic and geographic influences

This study aims to evaluate the efficiency of municipal solid waste management in Iceland, focusing on the factors influencing waste generation and recycling rates. Utilizing Data Envelopment Analysis (DEA) and regression techniques, the research seeks to provide insights into the challenges that municipalities face in managing waste effectively, particularly regarding their unique socioeconomic and geographic characteristics. The analysis covers 48 of Iceland's 69 municipalities from 2019 to 2021, employing input- and output-oriented DEA models. It explores the relationship between waste management costs, solid waste per capita, recycling rates, and socioeconomic factors such as age, population size, disposable income, and rural-urban ratios. The results reveal significant disparities in efficiency among municipalities. Larger population sizes and smaller geographical areas positively correlate with waste management efficiency, while older populations and higher waste management costs negatively impact performance. The relationship between rural populations and efficiency is complex, highlighting the influence of both population density and socioeconomic characteristics on waste management outcomes. This research provides valuable insights into waste management efficiency in rural and Arctic regions. It emphasises the necessity for tailored strategies that consider each municipality's unique characteristics and resource limitations, advocating for targeted policies and government support to improve waste management practices and promote sustainability in Arctic and rural communities. Additionally, the findings enhance the current literature by addressing a gap in understanding waste management efficiency in remote and lesser-studied regions, thus informing both academic discussions and practical applications in policy formation. • Waste management efficiency varies significantly among Iceland's municipalities. • Socioeconomic factors significantly influence waste generation and recycling rates. • Geographic size impacts efficiency; larger municipalities tend to be less efficient. • There exists a complex relationship between rurality and waste management efficiency. • Tailored strategies are vital to improve waste management in rural municipalities.

Authors

Institutions

Publication Details

Journal
Environmental and Sustainability Indicators
Published
2025-04-08
DOI
https://doi.org/10.1016/j.indic.2025.100676
Citations
5
Primary Topic
Municipal Solid Waste Management
Type
article
Field-Weighted Citation Impact
4.99
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluating municipal solid waste management efficiency in Iceland: A data envelopment analysis of socioeconomic and geographic influences

Brynhildur Davíðsdóttir, Sveinn Agnarsson, Guðmundur Kristján Óskarsson
5 citations
Environmental and Sustainability Indicators
Municipal Solid Waste Management
4.99
article

Evaluating municipal solid waste management efficiency in Iceland: A data envelopment analysis of socioeconomic and geographic influences

Brynhildur Davíðsdóttir, Sveinn Agnarsson, Guðmundur Kristján Óskarsson
article en
5 citations

Abstract

This study aims to evaluate the efficiency of municipal solid waste management in Iceland, focusing on the factors influencing waste generation and recycling rates. Utilizing Data Envelopment Analysis (DEA) and regression techniques, the research seeks to provide insights into the challenges that municipalities face in managing waste effectively, particularly regarding their unique socioeconomic and geographic characteristics. The analysis covers 48 of Iceland's 69 municipalities from 2019 to 2021, employing input- and output-oriented DEA models. It explores the relationship between waste management costs, solid waste per capita, recycling rates, and socioeconomic factors such as age, population size, disposable income, and rural-urban ratios. The results reveal significant disparities in efficiency among municipalities. Larger population sizes and smaller geographical areas positively correlate with waste management efficiency, while older populations and higher waste management costs negatively impact performance. The relationship between rural populations and efficiency is complex, highlighting the influence of both population density and socioeconomic characteristics on waste management outcomes. This research provides valuable insights into waste management efficiency in rural and Arctic regions. It emphasises the necessity for tailored strategies that consider each municipality's unique characteristics and resource limitations, advocating for targeted policies and government support to improve waste management practices and promote sustainability in Arctic and rural communities. Additionally, the findings enhance the current literature by addressing a gap in understanding waste management efficiency in remote and lesser-studied regions, thus informing both academic discussions and practical applications in policy formation. • Waste management efficiency varies significantly among Iceland's municipalities. • Socioeconomic factors significantly influence waste generation and recycling rates. • Geographic size impacts efficiency; larger municipalities tend to be less efficient. • There exists a complex relationship between rurality and waste management efficiency. • Tailored strategies are vital to improve waste management in rural municipalities.

Environmental and Sustainability IndicatorsVol. 26
University of Iceland (IS), University of Akureyri (IS)
Openalex Percentile: Top 5%
Municipal Solid Waste Management
4.99
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.