IDEAS home Printed from https://ideas.repec.org/a/eee/recore/v57y2011icp61-66.html
   My bibliography  Save this article

An estimation of the effectiveness of waste prevention by using point-of-sales (POS) data—The case of refills for shampoo and hair conditioner in Japan

Author

Listed:
  • Tasaki, T.
  • Yamakawa, H.

Abstract

Estimating the effectiveness of waste prevention measures in place is one approach to promote waste prevention and reduce resource use. We estimated the amount of waste reduction induced by the use of refills for shampoo and hair conditioner in Japan using point-of-sales (POS) data collected by retailers. The amount of waste reduction estimated was about 276 in fiscal year 2000, and increased to about 54% in fiscal year 2008, contributing to a waste reduction of 14,700tonnes in that year. The POS data indicated that the unit prices of refillable products were lower than those of non-refillable products, which would be the main reason for the successful proliferation of refill products. The applicability of using the POS data to estimate the amount of waste prevention for refill and other products was also examined. In cases where detailed product data exist and there is relatively a simple product substitution, the applicability of this methodology would be higher.

Suggested Citation

  • Tasaki, T. & Yamakawa, H., 2011. "An estimation of the effectiveness of waste prevention by using point-of-sales (POS) data—The case of refills for shampoo and hair conditioner in Japan," Resources, Conservation & Recycling, Elsevier, vol. 57(C), pages 61-66.
  • Handle: RePEc:eee:recore:v:57:y:2011:i:c:p:61-66
    DOI: 10.1016/j.resconrec.2011.09.019
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0921344911001996
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.resconrec.2011.09.019?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ang, B.W., 1995. "Decomposition methodology in industrial energy demand analysis," Energy, Elsevier, vol. 20(11), pages 1081-1095.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nishijima, Daisuke, 2017. "The role of technology, product lifetime, and energy efficiency in climate mitigation: A case study of air conditioners in Japan," Energy Policy, Elsevier, vol. 104(C), pages 340-347.
    2. Xie, Rui & Wang, Fangfang & Chevallier, Julien & Zhu, Bangzhu & Zhao, Guomei, 2018. "Supply-side structural effects of air pollutant emissions in China: A comparative analysis," Structural Change and Economic Dynamics, Elsevier, vol. 46(C), pages 89-95.
    3. Zaim, Osman & Uygurtürk Gazel, Tuğçe & Akkemik, K. Ali, 2017. "Measuring energy intensity in Japan: A new method," European Journal of Operational Research, Elsevier, vol. 258(2), pages 778-789.
    4. Liao, Hua & Wei, Yi-Ming, 2010. "China's energy consumption: A perspective from Divisia aggregation approach," Energy, Elsevier, vol. 35(1), pages 28-34.
    5. de Freitas, Luciano Charlita & Kaneko, Shinji, 2011. "Decomposition of CO2 emissions change from energy consumption in Brazil: Challenges and policy implications," Energy Policy, Elsevier, vol. 39(3), pages 1495-1504, March.
    6. Ouyang, Xiaoling & Lin, Boqiang, 2015. "An analysis of the driving forces of energy-related carbon dioxide emissions in China’s industrial sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 838-849.
    7. Luukkanen, Jyrki & Kaivo-oja, Jari, 2002. "ASEAN tigers and sustainability of energy use--decomposition analysis of energy and CO2 efficiency dynamics," Energy Policy, Elsevier, vol. 30(4), pages 281-292, March.
    8. Ma, Chunbo, 2014. "A multi-fuel, multi-sector and multi-region approach to index decomposition: An application to China's energy consumption 1995–2010," Energy Economics, Elsevier, vol. 42(C), pages 9-16.
    9. Fernández, Esteban & Fernández, Paula, 2008. "An extension to Sun's decomposition methodology: The Path Based approach," Energy Economics, Elsevier, vol. 30(3), pages 1020-1036, May.
    10. Gholami, M. & Barbaresi, A. & Torreggiani, D. & Tassinari, P., 2020. "Upscaling of spatial energy planning, phases, methods, and techniques: A systematic review through meta-analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    11. Chontanawat, Jaruwan & Wiboonchutikula, Paitoon & Buddhivanich, Atinat, 2014. "Decomposition analysis of the change of energy intensity of manufacturing industries in Thailand," Energy, Elsevier, vol. 77(C), pages 171-182.
    12. P. Fernández-González & M. Landajo & M.J. Presno, 2013. "Factors Influencing Changes In Aggregate Energy Consumption. An European Cross-Country Analysis," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 13(2), pages 18-30.
    13. Jin Zhang and David C. Broadstock, 2016. "The Causality between Energy Consumption and Economic Growth for China in a Time-varying Framework," The Energy Journal, International Association for Energy Economics, vol. 0(China Spe).
    14. Sahu, Santosh & Narayanan, K, 2009. "Determinants of Energy Intensity: A Preliminary Investigation of Indian Manufacturing," MPRA Paper 16606, University Library of Munich, Germany.
    15. Andreoni, V. & Galmarini, S., 2012. "Decoupling economic growth from carbon dioxide emissions: A decomposition analysis of Italian energy consumption," Energy, Elsevier, vol. 44(1), pages 682-691.
    16. Su, Bin & Ang, B.W., 2014. "Attribution of changes in the generalized Fisher index with application to embodied emission studies," Energy, Elsevier, vol. 69(C), pages 778-786.
    17. Greening, Lorna A. & Davis, William B. & Schipper, Lee & Khrushch, Marta, 1997. "Comparison of six decomposition methods: application to aggregate energy intensity for manufacturing in 10 OECD countries," Energy Economics, Elsevier, vol. 19(3), pages 375-390, July.
    18. Arto, Iñaki & Ansuategui Cobo, José Alberto, 2003. "La evolución de la intensidad energética de la industria vasca entre 1982-2001: Un análisis de descomposición," IKERLANAK 2003-07, Universidad del País Vasco - Departamento de Fundamentos del Análisis Económico I.
    19. Schlomann, Barbara & Reuter, Matthias & Lapillonne, Bruno & Pollier, Karine & Rosenow, Jan, 2014. "Monitoring of the "Energiewende": Energy efficiency indicators for Germany," Working Papers "Sustainability and Innovation" S10/2014, Fraunhofer Institute for Systems and Innovation Research (ISI).
    20. Meng, Ming & Shang, Wei & Zhao, Xiaoli & Niu, Dongxiao & Li, Wei, 2015. "Decomposition and forecasting analysis of China's energy efficiency: An application of three-dimensional decomposition and small-sample hybrid models," Energy, Elsevier, vol. 89(C), pages 283-293.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:recore:v:57:y:2011:i:c:p:61-66. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Kai Meng (email available below). General contact details of provider: https://www.journals.elsevier.com/resources-conservation-and-recycling .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.