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Projecting municipal solid waste: The case of Hong Kong SAR

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  • Chung, Shan Shan

Abstract

Waste projection informs waste policy making and is an indispensable process in waste management planning. Between the two major methodological approaches in forecasting MSW generation, the time-series approach uses past data and their distribution to determine future waste trends. The factor model on the other hand explains and predicts waste arisings with explanatory variables such as socio-economic factors of the waste generators. This latter approach not just aims at making predictions on waste quantities, it also aims at unveiling hypothetical causal relationships between factors for the prediction of waste arisings. Thus, it is more sophisticated and intellectually sound.

Suggested Citation

  • Chung, Shan Shan, 2010. "Projecting municipal solid waste: The case of Hong Kong SAR," Resources, Conservation & Recycling, Elsevier, vol. 54(11), pages 759-768.
    • Handle: RePEc:eee:recore:v:54:y:2010:i:11:p:759-768
    DOI: 10.1016/j.resconrec.2009.11.012
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    References listed on IDEAS

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    1. Robin R. Jenkins, 1993. "The Economics Of Solid Waste Reduction," Books, Edward Elgar Publishing, number 248.
    2. Shi, Jianguang & Xu, Yuezhou, 2006. "Estimation and forecasting of concrete debris amount in China," Resources, Conservation & Recycling, Elsevier, vol. 49(2), pages 147-158.
    3. Håvard Bergsdal & Rolf André Bohne & Helge Brattebø, 2007. "Projection of Construction and Demolition Waste in Norway," Journal of Industrial Ecology, Yale University, vol. 11(3), pages 27-39, July.
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    Cited by:

    1. Olga Lingaitienė & Aurelija Burinskienė & Vida Davidavičienė, 2022. "Case Study of Municipal Waste and Its Reliance on Reverse Logistics in European Countries," Sustainability, MDPI, vol. 14(3), pages 1-24, February.
    2. Wan, Calvin & Shen, Geoffrey Qiping & Yu, Ann, 2014. "The role of perceived effectiveness of policy measures in predicting recycling behaviour in Hong Kong," Resources, Conservation & Recycling, Elsevier, vol. 83(C), pages 141-151.

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