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Quantitative Methodology, Data Analysis, and Assumptions

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Abstract

The quantitative methodology for this analysis of the Global Environment Facility (GEF) energy efficiency projects starts with a general portfolio analysis of GEF energy efficiency projects and develops a classification of the projects into 10 subareas: (1) appliances & equipment; (2) Energy Service Companies (ESCOs); (3) energy supply; (4) finance; (5) industrial processes; (6) lighting; (7) national strategy; (8) buildings; (9) heating; and (10) others. Projects are assessed against criteria on greenhouse gas (GHG) emissions reductions, co-finance, and project preparation duration. The effectiveness of funds utilization is then assessed. In addition, 65 GEF slowly moving energy efficiency projects are assessed for lessons learned. Conclusions from the analysis are presented using a variety of indicators.

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Acknowledgments

The author is indebted to Dr. Robert K. Dixon, head of the Climate and Chemicals team of the GEF and Mr. Andre Laperriere, deputy CEO of the GEF for directing this book-writing project, editing this book, and supporting the publication of this book at Springer London. The author is grateful to the following people for their contributions to developing database and editing this book: Ms. Megan Nicholson, Dr. Yun Wu, Ms. Ye Zou, Dr. Omid Parhizkar, Mr. Bjoern Buesing, Dr. Ruktai Ace Prurapark, Mr. Victor Raynaud, Dr. Linda S. Heath, Dr. Chizuru Aoki, Mr. David E. Rodgers, Dr. Lily Uy Hale, and Ms.Tingting Tang. Acknowledgements are also due to Dr. Lily Uy Hale, Mr. Neeraj Kumar Negi and Ms. Baljit Wadhwa, Mr. Kenneth M. Chomitz, Mr. Richard H. Hosier, Mr. Alan Miller, and Mr. Marcel Alers, Dr. Barbara Buchner, Mr. Michael Chen, and ten energy efficiency professionals of the World Bank, the GEF Evaluation Office, the International Finance Corporation, the Scientific and Technical Advisory Panel of UNEP, the UNDP, University of Virginia Technology, and Springer in London for their comments on the book.

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Correspondence to Ming Yang .

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© 2013 World Bank

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Yang, M. (2013). Quantitative Methodology, Data Analysis, and Assumptions. In: Closing the Gap. Springer, London. https://doi.org/10.1007/978-1-4471-4516-5_5

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  • DOI: https://doi.org/10.1007/978-1-4471-4516-5_5

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-4515-8

  • Online ISBN: 978-1-4471-4516-5

  • eBook Packages: EngineeringEngineering (R0)

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