Productivity Analysis of Municipal Solid Waste Collection in Italy using SBM DEA Malmquist Index

Storto, Corrado lo

doi:10.1088/1755-1315/837/1/012002

Cited by 2 publications

(3 citation statements)

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“…The vast majority of papers employ Data Envelopment Analysis (DEA) to evaluate MSWM efficiency scores (Lacko & Hajduova, 2018;Storto, 2021;Sala-Garrido et al, 2022). DEA allows for the calculation of the efficiency of a production process, which is described by several inputs and several outputs.…”

Section: An Overview Of the Literaturementioning

confidence: 99%

“…However, treating undesirable outputs as desirable inputs is perceived as not truly reflecting a production process (Seiford & Zhu, 2002). The third approach was proposed by Seiford and Zhu (2002) and relies on the transformation of a bad output using linear monotonic decreasing transformation (Halkos & Petrou, 2018;Storto, 2021).…”

Section: An Overview Of the Literaturementioning

confidence: 99%

“…Many approaches assess MSWM from the cost perspective (Struk, 2014;Guerini et al, 2017;Halkos & Petrou, 2018;Yang et al, 2018;Zhu & Zhang, 2019;Storto, 2021a;Sala-Garrido et al, 2022;Molinos-Senante et al, 2023). However, instead of waste treatment methods, researchers more often take into account the amount of sorted/unsorted waste collected (Guerrini et al, 2017;Storto, 2021;Storto, 2021a;Sala-Garrido et al, 2022;Molinos-Senante et al, 2023). Collecting a large amount of sorted waste does not guarantee that it is treated in desirable ways, i.e.…”

Section: An Overview Of the Literaturementioning

confidence: 99%

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The determinants of municipal solid waste management efficiency in EU countries

Osińska

2024

EiS

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The main purpose of this paper is to assess the municipal solid waste management (MSWM) efficiency of European Union countries and to identify the determinants of this efficiency before and after introducing Directive (EU) 2018/851. The research was conducted for 23 EU Member States in order to analyse the two highest-priority waste treatment methods (material recycling and energy recovery) and the level of greenhouse gases emitted by the waste management sector. The data for 2015-2020 were extracted from the Eurostat database. The period of data was divided into two sub-periods: 2015-2017 (the period before introducing the Directive) and 2018-2020. MSWM efficiency scores were calculated using the DEA method. Later, the Tobit Regression Model (TRM) was applied to identify the determinants. The efficiency analysis showed that the countries which joined the EU before 2000 improved their MSWM efficiency in 2018-2020 compared with 2015-2017. On the other hand, the average efficiency scores of the countries that joined the EU after 2000 decreased. In 2015-2017, the following determinants of MSWM efficiency occurred to be statistically significant: population density, unemployment rate, the number of patents and the tourism intensity index, while in 2018-2020: population density, unemployment rate, Research & Development (R&D) expenditure, higher education proportion and MSW generated. A detailed analysis of these variables showed that the countries that joined the EU after 2000 should first increase their R&D expenditure and support their inhabitants in increasing their educational level.

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Section: An Overview Of the Literaturementioning

confidence: 99%

Section: An Overview Of the Literaturementioning

confidence: 99%

Section: An Overview Of the Literaturementioning

confidence: 99%

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The determinants of municipal solid waste management efficiency in EU countries

Osińska

2024

EiS

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Evaluating the efficiency of public expenditure in municipal waste collection: A comparative study of Portuguese municipalities

de Moraes e Soares

2024

Environmental Economics

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Effective waste management is fundamental to sustainable development and the well-being of societies. This study focuses on the financial efficiency of urban waste collection in Portuguese municipalities, with the aim to analyze the effects of the allocation of public resources in the waste management sector. The main objective is to analyze the relationship between public spending and waste collection over a five-year period. Through the application of the classic data envelopment analysis model (DEA), the study seeks to observe the existence of benchmarking patterns, identify possible inefficiencies, and determine opportunities for improvement in urban waste management and collection practices. The results suggest substantial variations in waste collection efficiency between municipalities and a positive correlation between public spending and the volume of waste collected. The results emphasize the need for a strategic allocation of financial resources in order to promote sustainable waste management practices. The paper highlights the importance of municipalities reassessing their strategies for allocating financial resources to ensure a better balance between funding and efficiency in the use of resources. The conclusions offer valuable practical implications for defining strategies and managing municipal waste collection services in Portugal and other countries with similar contexts. AcknowledgmentThis article is financed by Instituto Politécnico de Setúbal [Polytechnic Institute of Setúbal].&nbsp;

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Productivity Analysis of Municipal Solid Waste Collection in Italy using SBM DEA Malmquist Index

Cited by 2 publications

References 17 publications

The determinants of municipal solid waste management efficiency in EU countries

The determinants of municipal solid waste management efficiency in EU countries

Evaluating the efficiency of public expenditure in municipal waste collection: A comparative study of Portuguese municipalities

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