IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v10y2018i4p1077-d139596.html
   My bibliography  Save this article

System Dynamic Analysis of Impacts of Government Charges on Disposal of Construction and Demolition Waste: A Hong Kong Case Study

Author

Listed:
  • Lai Sheung Au

    (Arcadis Hong Kong Limited, 38/F AIA Kowloon Tower, 100 How Ming Street, Kwun Tong, Kowloon, Hong Kong, China)

  • Seungjun Ahn

    (School of Natural and Built Environments, University of South Australia, BJ Bld, City East Campus, Adelaide, SA 5001, Australia)

  • Tae Wan Kim

    (Division of Architecture and Urban Design, Incheon National University, 119 Academy-ro, Yeonsu-gu, Incheon 22012, Korea)

Abstract

With the purpose of reducing the amount of construction and demolition (C&D) waste disposed to landfills, many countries and municipalities have introduced increasingly stringent C&D waste disposal charges (CDWDC) but the level of CDWDC is often determined without a clear understanding of its broad and complex impacts. Against this background, this paper aims to propose a system dynamics (SD) model that can help predict CDWDC’s environmental implications as well as its financial implications. Specifically, the proposed model explains complex causal relationships between variables such as the level of CDWDC, the amount of C&D waste disposed to landfills, the government’s revenues from CDWDC as well as the costs of supplying and operating landfills over time. For a case study, the developed model is customized and calibrated with actual data from Hong Kong, where the remaining capacities of existing landfills are limited and the need for supplying more landfills is imminent. The simulation analysis with the model predicts that the current charging levels may not be high enough to effectively control the amount of C&D waste disposed to landfills or to compensate for the costs to the government of supplying additional landfills. The analysis also predicts how much illegal dumping may increase as the level of CDWDC increases. This case study illustrates that the proposed SD model can help policy makers to see the potential impacts of increased CDWDC on the amount of C&D waste disposed to landfills, government costs and the amount of illegal dumping of C&D waste; and can therefore help them to determine the most appropriate level of CDWDC.

Suggested Citation

  • Lai Sheung Au & Seungjun Ahn & Tae Wan Kim, 2018. "System Dynamic Analysis of Impacts of Government Charges on Disposal of Construction and Demolition Waste: A Hong Kong Case Study," Sustainability, MDPI, vol. 10(4), pages 1-17, April.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:4:p:1077-:d:139596
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/10/4/1077/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/10/4/1077/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lu, Weisheng & Peng, Yi & Webster, Chris & Zuo, Jian, 2015. "Stakeholders’ willingness to pay for enhanced construction waste management: A Hong Kong study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 233-240.
    2. Qudrat-Ullah, Hassan & Seong, Baek Seo, 2010. "How to do structural validity of a system dynamics type simulation model: The case of an energy policy model," Energy Policy, Elsevier, vol. 38(5), pages 2216-2224, May.
    3. Yuan, Hongping & Wang, Jiayuan, 2014. "A system dynamics model for determining the waste disposal charging fee in construction," European Journal of Operational Research, Elsevier, vol. 237(3), pages 988-996.
    4. Nuria Calvo & Laura Varela-Candamio & Isabel Novo-Corti, 2014. "A Dynamic Model for Construction and Demolition (C&D) Waste Management in Spain: Driving Policies Based on Economic Incentives and Tax Penalties," Sustainability, MDPI, vol. 6(1), pages 1-20, January.
    5. 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.
    6. Yi Peng & Weisheng Lu & Ke Chen, 2015. "Disparity of Willingness-to-Pay and Ought-to-Pay for Construction Waste in Hong Kong: A Conceptual Model," Springer Books, in: Liyin Shen & Kunhui Ye & Chao Mao (ed.), Proceedings of the 19th International Symposium on Advancement of Construction Management and Real Estate, edition 127, chapter 0, pages 823-833, Springer.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hongyu Long & Hongyong Liu & Xingwei Li & Longjun Chen, 2020. "An Evolutionary Game Theory Study for Construction and Demolition Waste Recycling Considering Green Development Performance under the Chinese Government’s Reward–Penalty Mechanism," IJERPH, MDPI, vol. 17(17), pages 1-21, August.
    2. Zezhou Wu & Kaijie Yang & Xiaofan Lai & Maxwell Fordjour Antwi-Afari, 2020. "A Scientometric Review of System Dynamics Applications in Construction Management Research," Sustainability, MDPI, vol. 12(18), pages 1-16, September.
    3. Micky A. Babalola, 2019. "A System Dynamics-Based Approach to Help Understand the Role of Food and Biodegradable Waste Management in Respect of Municipal Waste Management Systems," Sustainability, MDPI, vol. 11(12), pages 1-20, June.
    4. Qidan Hu & Ying Peng & Chunxiang Guo & Dong Cai & Peiyang Su, 2019. "Dynamic Incentive Mechanism Design for Recycling Construction and Demolition Waste under Dual Information Asymmetry," Sustainability, MDPI, vol. 11(10), pages 1-24, May.
    5. Zhikun Ding & Wenyan Gong & Shenghan Li & Zezhou Wu, 2018. "System Dynamics versus Agent-Based Modeling: A Review of Complexity Simulation in Construction Waste Management," Sustainability, MDPI, vol. 10(7), pages 1-13, July.
    6. Zhikun Ding & Mengjie Shi & Chen Lu & Zezhou Wu & Dan Chong & Wenyan Gong, 2019. "Predicting Renovation Waste Generation Based on Grey System Theory: A Case Study of Shenzhen," Sustainability, MDPI, vol. 11(16), pages 1-13, August.

    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. Zezhou Wu & Ann T.W. Yu & Chi Sun Poon, 2020. "Promoting effective construction and demolition waste management towards sustainable development: A case study of Hong Kong," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(6), pages 1713-1724, November.
    2. Zhikun Ding & Wenyan Gong & Shenghan Li & Zezhou Wu, 2018. "System Dynamics versus Agent-Based Modeling: A Review of Complexity Simulation in Construction Waste Management," Sustainability, MDPI, vol. 10(7), pages 1-13, July.
    3. Parvin Berenjkar & Yu Yan Li & Qiuyan Yuan, 2021. "The application of system dynamics in different practices of a waste management system," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(11), pages 15695-15724, November.
    4. Ting Wang & Qinghua He & Yujie Lu & Delei Yang, 2018. "How Does Organizational Citizenship Behavior (OCB) Affect the performance of megaprojects? Insights from a System Dynamic Simulation," Sustainability, MDPI, vol. 10(6), pages 1-18, May.
    5. Luca Fraccascia & Ilaria Giannoccaro & Vito Albino, 2017. "Efficacy of Landfill Tax and Subsidy Policies for the Emergence of Industrial Symbiosis Networks: An Agent-Based Simulation Study," Sustainability, MDPI, vol. 9(4), pages 1-18, March.
    6. Noushin Islam & Malindu Sandanayake & Shobha Muthukumaran & Dimuth Navaratna, 2024. "Review on Sustainable Construction and Demolition Waste Management—Challenges and Research Prospects," Sustainability, MDPI, vol. 16(8), pages 1-30, April.
    7. James D. A. Millington & Hang Xiong & Steve Peterson & Jeremy Woods, 2017. "Integrating Modelling Approaches for Understanding Telecoupling: Global Food Trade and Local Land Use," Land, MDPI, vol. 6(3), pages 1-18, August.
    8. Torres, Juan Pablo & Barrera, Jose Ignacio & Kunc, Martin & Charters, Steve, 2021. "The dynamics of wine tourism adoption in Chile," Journal of Business Research, Elsevier, vol. 127(C), pages 474-485.
    9. Hosseini, Seyed Hossein & Shakouri G., Hamed & Kazemi, Aliyeh, 2021. "Oil price future regarding unconventional oil production and its near-term deployment: A system dynamics approach," Energy, Elsevier, vol. 222(C).
    10. Hendalianpour, Ayad & Liu, Peide & Amirghodsi, Sirous & Hamzehlou, Mohammad, 2022. "Designing a System Dynamics model to simulate criteria affecting oil and gas development contracts," Resources Policy, Elsevier, vol. 78(C).
    11. Ye, Rui-Ke & Gao, Zhuang-Fei & Fang, Kai & Liu, Kang-Li & Chen, Jia-Wei, 2021. "Moving from subsidy stimulation to endogenous development: A system dynamics analysis of China's NEVs in the post-subsidy era," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    12. Lund, Henrik & Mathiesen, Brian Vad, 2012. "The role of Carbon Capture and Storage in a future sustainable energy system," Energy, Elsevier, vol. 44(1), pages 469-476.
    13. Mariano Gallo, 2019. "An Optimisation Model to Consider the NIMBY Syndrome within the Landfill Siting Problem," Sustainability, MDPI, vol. 11(14), pages 1-18, July.
    14. Qudrat-Ullah, Hassan, 2014. "Green power in Ontario: A dynamic model-based analysis," Energy, Elsevier, vol. 77(C), pages 859-870.
    15. Herrera, Milton M. & Dyner, Isaac & Cosenz, Federico, 2020. "Benefits from energy policy synchronisation of Brazil’s North-Northeast interconnection," Renewable Energy, Elsevier, vol. 162(C), pages 427-437.
    16. Herrera, Milton M. & Dyner, Isaac & Cosenz, Federico, 2019. "Assessing the effect of transmission constraints on wind power expansion in northeast Brazil," Utilities Policy, Elsevier, vol. 59(C), pages 1-1.
    17. Milad Mousavian, H. & Hamed Shakouri, G. & Mashayekhi, Ali-Naghi & Kazemi, Aliyeh, 2020. "Does the short-term boost of renewable energies guarantee their stable long-term growth? Assessment of the dynamics of feed-in tariff policy," Renewable Energy, Elsevier, vol. 159(C), pages 1252-1268.
    18. Prasad, Ravita D. & Bansal, R.C. & Raturi, Atul, 2014. "Multi-faceted energy planning: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 686-699.
    19. Ishardita Pambudi Tama & Willy Satrio Nugroho & Wayan Firdaus Mahmudy & Purnami Purnami, 2022. "The Evaluation of Technology Startup Role on Indonesian SMEs Industry 4.0 Adoption Using CLD-ABM Integrated Model," Sustainability, MDPI, vol. 14(14), pages 1-14, July.
    20. Chenxi Li & Jingyao Wu & Zenglei Xi & Weiqiang Zhang, 2021. "Farmers’ Satisfaction with Land Expropriation System Reform: A Case Study in China," Land, MDPI, vol. 10(12), pages 1-16, December.

    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:gam:jsusta:v:10:y:2018:i:4:p:1077-:d:139596. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.