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Centralised target setting for regional recycling operations using DEA

Author

Listed:
  • Lozano, S.
  • Villa, G.
  • Adenso-Díaz, B.

Abstract

This paper presents an application of data envelopment analysis for analysing the performance of a number of spanish municipalities in terms of the amount of glass recycled. The inputs considered are the number of glass containers assigned to each municipality on one hand and the population and the number of bars and restaurants in town on the other. The number of containers is the only discretionary input; the other two are considered non-controllable. In order to establish for each municipality a target to aim at, an aggregated-output orientation is used. That is, instead of projecting each municipality independently, a centralised approach is used. Thus, the model does not require that each municipality keeps at least the same number of containers but only that the total number of existing containers not be exceeded. The goal of the regional authority is to assign the available containers so as to maximise the total amount of glass recycled by all the municipalities. The fact that the number of containers is an integer variable has been taken into account. Numerical results are shown.

Suggested Citation

  • Lozano, S. & Villa, G. & Adenso-Díaz, B., 2004. "Centralised target setting for regional recycling operations using DEA," Omega, Elsevier, vol. 32(2), pages 101-110, April.
  • Handle: RePEc:eee:jomega:v:32:y:2004:i:2:p:101-110
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    References listed on IDEAS

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    1. Beasley, J. E., 2003. "Allocating fixed costs and resources via data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 147(1), pages 198-216, May.
    2. Antreas D. Athanassopoulos, 1998. "Decision Support for Target-Based Resource Allocation of Public Services in Multiunit and Multilevel Systems," Management Science, INFORMS, vol. 44(2), pages 173-187, February.
    3. Fare, R. & Grabowski, R. & Grosskopf, S. & Kraft, S., 1997. "Efficiency of a fixed but allocatable input: A non-parametric approach," Economics Letters, Elsevier, vol. 56(2), pages 187-193, October.
    4. Thanassoulis, E. & Dyson, R. G., 1992. "Estimating preferred target input-output levels using data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 56(1), pages 80-97, January.
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    Citations

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    Cited by:

    1. Fang, Lei, 2015. "Centralized resource allocation based on efficiency analysis for step-by-step improvement paths," Omega, Elsevier, vol. 51(C), pages 24-28.
    2. Hien Thu Pham & Antonio Peyrache, 2015. "Industry Inefficiency Measures: A Unifying Approximation Proposition," CEPA Working Papers Series WP102015, School of Economics, University of Queensland, Australia.
    3. Feng, Chenpeng & Chu, Feng & Ding, Jingjing & Bi, Gongbing & Liang, Liang, 2015. "Carbon Emissions Abatement (CEA) allocation and compensation schemes based on DEA," Omega, Elsevier, vol. 53(C), pages 78-89.
    4. Zuoren Sun & Rundong Luo & Dequn Zhou, 2015. "Optimal Path for Controlling Sectoral CO 2 Emissions Among China’s Regions: A Centralized DEA Approach," Sustainability, MDPI, Open Access Journal, vol. 8(1), pages 1-20, December.
    5. Ray, Subhash, 2016. "Cost efficiency in an Indian bank branch network: A centralized resource allocation model," Omega, Elsevier, vol. 65(C), pages 69-81.
    6. repec:spr:annopr:v:259:y:2017:i:1:d:10.1007_s10479-016-2190-8 is not listed on IDEAS
    7. Barnum, Darold T. & Karlaftis, Matthew G. & Tandon, Sonali, 2011. "Improving the efficiency of metropolitan area transit by joint analysis of its multiple providers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(6), pages 1160-1176.
    8. repec:pal:jorsoc:v:61:y:2010:i:10:d:10.1057_jors.2009.106 is not listed on IDEAS
    9. Peyrache, Antonio, 2015. "Cost constrained industry inefficiency," European Journal of Operational Research, Elsevier, vol. 247(3), pages 996-1002.
    10. Liu, John S. & Lu, Louis Y.Y. & Lu, Wen-Min, 2016. "Research fronts in data envelopment analysis," Omega, Elsevier, vol. 58(C), pages 33-45.
    11. repec:spr:annopr:v:250:y:2017:i:1:d:10.1007_s10479-015-2006-2 is not listed on IDEAS
    12. Varmaz, Armin & Varwig, Andreas & Poddig, Thorsten, 2013. "Centralized resource planning and Yardstick competition," Omega, Elsevier, vol. 41(1), pages 112-118.
    13. repec:gam:jsusta:v:8:y:2015:i:1:p:28:d:61444 is not listed on IDEAS
    14. Milioni, Armando Zeferino & de Avellar, José Virgílio Guedes & Gomes, Eliane Gonçalves & Soares de Mello, João Carlos Correia Baptista, 2011. "An ellipsoidal frontier model: Allocating input via parametric DEA," European Journal of Operational Research, Elsevier, vol. 209(2), pages 113-121, March.
    15. Yu, Ming-Miin & Chern, Ching-Chin & Hsiao, Bo, 2013. "Human resource rightsizing using centralized data envelopment analysis: Evidence from Taiwan's Airports," Omega, Elsevier, vol. 41(1), pages 119-130.
    16. Asmild, Mette & Paradi, Joseph C. & Pastor, Jesus T., 2009. "Centralized resource allocation BCC models," Omega, Elsevier, vol. 37(1), pages 40-49, February.
    17. Yu, Ming-Miin & Chen, Li-Hsueh, 2016. "Centralized resource allocation with emission resistance in a two-stage production system: Evidence from a Taiwan’s container shipping company," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 650-671.
    18. Shu-Man Chang & Jaw-Shen Wang & Ming-Miin Yu & Kuo-Chung Shang & Shih-Hao Lin & Bo Hsiao, 2015. "An application of centralized data envelopment analysis in resource allocation in container terminal operations," Maritime Policy & Management, Taylor & Francis Journals, vol. 42(8), pages 776-788, November.
    19. Lu, Ching-Cheng & Chiu, Yung-Ho & Shyu, Ming-Kuang & Lee, Jen-Hui, 2013. "Measuring CO2 emission efficiency in OECD countries: Application of the Hybrid Efficiency model," Economic Modelling, Elsevier, vol. 32(C), pages 130-135.
    20. Jie Wu & Jun-Fei Chu & Liang Liang, 2016. "Target setting and allocation of carbon emissions abatement based on DEA and closest target: an application to 20 APEC economies," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(1), pages 279-296, November.

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