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A performance evaluation of MSW management practice in Taiwan

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  • Chen, Chung-Chiang

Abstract

Traditionally, the performance of MSW (municipal solid waste) management is almost assessed based on the recycling rate or the collection cost per unit of waste collected only. It neglects the impact of the different actors in the society on the performance assessment. In this paper, we evaluate the integrated efficiency of MSW management that is divided into three stages: MSW generation, sorting and collection by using the tools of data envelopment analysis (DEA) and analytical hierarchical process (AHP). The relative efficiency in proxy of performance at each stage for each decision making unit (DMU) is calculated by DEA and the weighting factor at each stage in affecting the integrated efficiency of MSW management is measured through the support of AHP. We compare MSW management performance between urban and rural regions in Taiwan and attempt to examine the factors that affect the efficiency variation, by using data of 23 cities/counties in 2008. The results show that urban regions have higher performance in sorting but lower in generation, collection and integrated efficiency than rural regions. This paper highlights the important role of MSW generation in affecting MSW management performance and provides an integrated model to assess MSW management performance by dividing MSW management into three stages including MSW generation, sorting and collection.

Suggested Citation

  • Chen, Chung-Chiang, 2010. "A performance evaluation of MSW management practice in Taiwan," Resources, Conservation & Recycling, Elsevier, vol. 54(12), pages 1353-1361.
  • Handle: RePEc:eee:recore:v:54:y:2010:i:12:p:1353-1361
    DOI: 10.1016/j.resconrec.2010.05.003
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    1. Hawdon, David, 2003. "Efficiency, performance and regulation of the international gas industry--a bootstrap DEA approach," Energy Policy, Elsevier, vol. 31(11), pages 1167-1178, September.
    2. Carlos Pombo & Rodrigo Taborda, 2004. "Perfomance and Efficiency in Colombia's Power Distribution Sistem: Effects of the 1994 Reform," Borradores de Investigación 6942, Universidad del Rosario.
    3. Vaninsky, Alexander, 2007. "Erratum to "Efficiency of electric power generation in the United States: Analysis and forecast based on data envelopment analysis" [Energy Economics, 28(2006), 326-338]," Energy Economics, Elsevier, vol. 29(3), pages 1-1, May.
    4. Godoy, Ricardo & O'neill, Kathleen & Groff, Stephen & Kostishack, Peter & Cubas, Adoni & Demmer, Josephien & Mcsweeney, Kendra & Overman, Johannes & Wilkie, David & Brokaw, Nicholas & Martinez, Marque, 1997. "Household determinants of deforestation by amerindians in honduras," World Development, Elsevier, vol. 25(6), pages 977-987, June.
    5. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    6. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
    7. Holmgren, Kristina & Gebremedhin, Alemayehu, 2004. "Modelling a district heating system: Introduction of waste incineration, policy instruments and co-operation with an industry," Energy Policy, Elsevier, vol. 32(16), pages 1807-1817, November.
    8. John R. Hauser, 1998. "Research, Development, and Engineering Metrics," Management Science, INFORMS, vol. 44(12-Part-1), pages 1670-1689, December.
    9. Pombo, Carlos & Taborda, Rodrigo, 2006. "Performance and efficiency in Colombia's power distribution system: Effects of the 1994 reform," Energy Economics, Elsevier, vol. 28(3), pages 339-369, May.
    10. Robert L. Winkler, 1990. "Decision Modeling and Rational Choice: AHP and Utility Theory," Management Science, INFORMS, vol. 36(3), pages 247-248, March.
    11. Pacudan, Romeo & de Guzman, Elaine, 2002. "Impact of energy efficiency policy to productive efficiency of electricity distribution industry in the Philippines," Energy Economics, Elsevier, vol. 24(1), pages 41-54, January.
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    Cited by:

    1. Ye, Lin & Ye, Chunming & Chuang, Yi-Fei, 2011. "Location set covering for waste resource recycling centers in Taiwan," Resources, Conservation & Recycling, Elsevier, vol. 55(11), pages 979-985.
    2. Baihui Jin & Wei Li, 2025. "Spatial Effects and Driving Factors of Consumption Upgrades on Municipal Solid Waste Eco-Efficiency, Considering Emission Outputs," Sustainability, MDPI, vol. 17(6), pages 1-30, March.
    3. Jin, Baihui & Li, Wei & Li, Guoming & Wang, Qi, 2024. "Does upgrading household consumption affect the eco-efficiency of China's solid waste management as measured by emissions?," Utilities Policy, Elsevier, vol. 89(C).
    4. Debnath, Somnath & Bose, S.K., 2014. "Exploring full cost accounting approach to evaluate cost of MSW services in India," Resources, Conservation & Recycling, Elsevier, vol. 83(C), pages 87-95.

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