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

Li Ting Yeh, Dong Shang Chang, Wenrong Liu

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

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.

Original languageEnglish
Pages (from-to)1535-1550
Number of pages16
JournalClean Technologies and Environmental Policy
Volume18
Issue number5
DOIs
StatePublished - 1 Jun 2016

Keywords

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

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