Clean Technologies and Environmental Policy

, Volume 18, Issue 5, pp 1535–1550 | Cite as

The effect of organizational learning on the dynamic recycling performance of Taiwan’s municipal solid waste (MSW) system

Original Paper
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Accepted:

Abstract

This study used a dynamic data envelopment analysis (DEA) model to investigate the learning carry-over effect on the performance of Taiwan’s municipal solid waste (MSW) recycling systems. Regression analysis was used to estimate the latent learning effect in the MSW recycling systems of 23 local governments during 2002–2011. The results were incorporated into a dynamic DEA model that evaluated the relative performance of local government systems. This research makes three major contributions to the field. Firstly, it develops an approach that incorporates the carry-over effects of organizational learning into a dynamic DEA model. Secondly, it evaluates the influence of those carry-over effects on the MSW recycling performance of Taiwan’s local governments. Finally, it identifies policies to help local governments with inefficient MSW recycling systems as they seek to improve and promote recycling activities. In addition, local government should continue to promote its recycling policies.

Keywords

Carry-over effect Dynamic data envelopment analysis MSW recycling Organizational learning effect 
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Notes

Acknowledgments

We wish to thank the Ministry of Science and Technology, Taiwan, who provided funding through contract MOST 103-2410-H-033 -043.

References

  1. Allers MA, Hoeben C (2010) Effects of unit-based garbage pricing: a differences-in-differences approach. Environ Resour Econ 45:405–428CrossRefGoogle Scholar
  2. André FJ, Cerdá E (2006) On the dynamics of recycling and natural resources. Environ Resour Econ 33:199–221CrossRefGoogle Scholar
  3. Badiru AB, Ijaduola AO (2009) Half-life theory of learning curves for system performance analysis. Syst J IEEE 3:154–165CrossRefGoogle Scholar
  4. Biskup D (2008) A state-of-the-art review on scheduling with learning effects. Euro J Oper Res 188:315–329CrossRefGoogle Scholar
  5. Chang D-S, Yang FC (2011) Assessing the power generation, pollution control, and overall efficiencies of municipal solid waste incinerators in Taiwan. Energy Policy 39:651–663CrossRefGoogle Scholar
  6. Chang D-S, Liu W, Yeh L-T (2013) Incorporating the learning effect into data envelopment analysis to measure MSW recycling performance. Eur J Oper Res 229:496–504CrossRefGoogle Scholar
  7. Chang D-S, Yeh L-T, Liu W (2015) Incorporating the carbon footprint to measure industry context and energy consumption effect on environmental performance of business operations. Clean Technol Environ Policy 17:359–371CrossRefGoogle Scholar
  8. Chao Y-L (2008) Time series analysis of the effects of refuse collection on recycling: Taiwan’s “Keep Trash Off the Ground” measure. Waste Manag 28:859–869CrossRefGoogle Scholar
  9. Chen C-C (2010) A performance evaluation of MSW management practice in Taiwan. Resour Conserv Recycl 54:1353–1361CrossRefGoogle Scholar
  10. Chen YT, Chang DS (2010) Diffusion effect and learning effect: an examination on MSW recycling. J Clean Prod 18:496–503CrossRefGoogle Scholar
  11. Chen C-C, Chen Y-T (2008) Income effect or policy result: a test of the environmental Kuznets curve. J Clean Prod 16:59–65CrossRefGoogle Scholar
  12. Chiang L (2001) Study on the refuse recycling system and performance in Taiwan. J Environ Manag 2:1–14Google Scholar
  13. Chung W (2011) Review of building energy-use performance benchmarking methodologies. Appl Energy 88:1470–1479CrossRefGoogle Scholar
  14. Conway R, Schultz A (1959) The manufacturing progress function. J Ind Eng 10:39–54Google Scholar
  15. Cooper WW, Seiford LM, Tone K (2007) Data envelopment analysis: a comprehensive text with models, applications, references and DEA-solver software. Springer, BerlinGoogle Scholar
  16. Dubois M, Eyckmans J (2014) Efficient waste management policies and strategic behavior with open borders. Environ Resour Econ 62:1–17Google Scholar
  17. EPA T (2002–2011) Yearbook of Environmental Protection Statistics Republic of ChinaGoogle Scholar
  18. Ferrara I, Missios P (2005) Recycling and waste diversion effectiveness: evidence from Canada. Environ Resour Econ 30:221–238CrossRefGoogle Scholar
  19. Garces C, Lafuente A, Pedraja M, Rivera P (2002) Urban waste recycling behavior: antecedents of participation in a selective collection program. Environ Manag 30:378–390CrossRefGoogle Scholar
  20. García-Morales VJ, Lloréns-Montes FJ, Verdú-Jover AJ (2007) Influence of personal mastery on organizational performance through organizational learning and innovation in large firms and SMEs. Technovation 27:547–568CrossRefGoogle Scholar
  21. Gauri DK, Pauler JG, Trivedi M (2009) Benchmarking performance in retail chains: an integrated approach. Mark Sci 28:502–515CrossRefGoogle Scholar
  22. Gerlagh R, van der Zwaan B, Hofkes MW, Klaassen G (2004) Impacts of CO2-taxes in an economy with niche markets and learning-by-doing. Environ Resour Econ 28:367–394CrossRefGoogle Scholar
  23. Goldberger AS (1968) The interpretation and estimation of Cobb-Douglas functions. Econ: J Econ Soc 35:464–472CrossRefGoogle Scholar
  24. Hu J-L, Chang T-P, Kao C-H (2008) Four-in-one waste recycling performance of local governments in Taiwan. J Resour Energy Dev 5:83–94Google Scholar
  25. Kuo WH, Yang DL (2006) Minimizing the total completion time in a single-machine scheduling problem with a time-dependent learning effect. Eur J Oper Res 174:1184–1190CrossRefGoogle Scholar
  26. Lozano S, Gutierrez E (2011) Slacks-based measure of efficiency of airports with airplanes delays as undesirable outputs. Comput Oper Res 38:131–139CrossRefGoogle Scholar
  27. Lu W-M, Wang W-K, Kweh QL (2014) Intellectual capital and performance in the Chinese life insurance industry. Omega 42:65–74CrossRefGoogle Scholar
  28. Nair A, Narasimhan R (2006) Dynamics of competing with quality-and advertising-based goodwill. Eur J Oper Res 175:462–474CrossRefGoogle Scholar
  29. Peters TJ, Waterman RH (1984) In search of excellence. Nurs Adm Q 8:85–86CrossRefGoogle Scholar
  30. Senge PM (1990) The fifth discipline: The art and practice of the learning organization. Doubleday Currency, New YorkGoogle Scholar
  31. Sengupta J (2003) New efficiency theory: With applications of data envelopment analysis. Springer, BerlinCrossRefGoogle Scholar
  32. Sorenson O (2003) Interdependence and adaptability: organizational learning and the long-term effect of integration. Manag Sci 49:446–463CrossRefGoogle Scholar
  33. Sterner T, Bartelings H (1999) Household waste management in a Swedish municipality: determinants of waste disposal, recycling and composting. Environ Resour Econ 13:473–491CrossRefGoogle Scholar
  34. Tone K, Tsutsui M (2006) An efficiency measure of goods and bads in DEA and its application to US electric utilities. In: Asia Pacific productivity conferenceGoogle Scholar
  35. Tone K, Tsutsui M (2010) Dynamic DEA: a slacks-based measure approach. Omega 38:145–156CrossRefGoogle Scholar
  36. Usui T, Takeuchi K (2014) Evaluating unit-based pricing of residential solid waste: a panel data analysis. Environ Resour Econ 58:245–271CrossRefGoogle Scholar
  37. Ventriss C, Luke J (1988) Organizational learning and public policy: towards a substantive perspective. Am Rev Public Adm 18:337–357CrossRefGoogle Scholar
  38. Wiersma D (1991) Static and dynamic efficiency of pollution control strategies. Environ Resour Econ 1:63–82Google Scholar
  39. Wright T (1936) Learning curve. J Aeronaut Sci 3:122–128CrossRefGoogle Scholar
  40. Yang W-H, Chand S (2008) Learning and forgetting effects on a group scheduling problem. Eur J Oper Res 187:1033–1044CrossRefGoogle Scholar
  41. Zhou P, Ang BW, Poh KL (2008) A survey of data envelopment analysis in energy and environmental studies. Eur J Oper Res 189:1–18CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  1. 1.Department of Business AdministrationChung Yuan Christian UniversityTaoyuan CityTaiwan, ROC
  2. 2.Department of Business AdministrationNational Central UniversityJhongli CityTaiwan, ROC
  3. 3.Department of Cooperative EconomicsFeng Chia UniversitySeatwenTaiwan, ROC

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