IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v186y2023ipbs0040162522006862.html
   My bibliography  Save this article

Constraints affecting the promotion of waste incineration power generation project in China: A perspective of improved technology acceptance model

Author

Listed:
  • Lu, Jintao
  • Rong, Dan
  • Lev, Benjamin
  • Liang, Mengshang
  • Zhang, Chong
  • Gao, Yangyang

Abstract

To systematically identify constraints on the promotion of renewable energy sources (RES) projects, in this study an improved technology acceptance model (TAM) was proposed, and fifteen constraints were extracted from stakeholders view taking the waste incineration power generation project as an example. The integrated methods of Decision Making Trial and Evaluation Laboratory (DEMATEL) and Interpretive Structural Model (ISM) were jointly employed to analyze coupling effects among constraints and influence hierarchy of constraints, and to classify transfer paths among different constraints and their impact intensity on projects promotion. The targeted hierarchically intervention strategies were proposed from the perspective of controlling the key nodes of transfer paths of delayed payment of fees and public opposition, as well as general projects management. Results show that insufficient resources reserve and weak environmental awareness are the deep-rooted constraints; imperfect legal systems, mismatch between parameter setting and regional planning, over-expenditure of operational cost, and improper site selection are profound constraints; delayed payment of fees and public opposition are direct constraints. The findings suggest adequate intervention in deep-rooted constraints and profound constraints can fundamentally promote waste incineration power generation projects, and controlling the transfer paths can be an effective way to intervene the constraints on projects promotion.

Suggested Citation

  • Lu, Jintao & Rong, Dan & Lev, Benjamin & Liang, Mengshang & Zhang, Chong & Gao, Yangyang, 2023. "Constraints affecting the promotion of waste incineration power generation project in China: A perspective of improved technology acceptance model," Technological Forecasting and Social Change, Elsevier, vol. 186(PB).
    • Handle: RePEc:eee:tefoso:v:186:y:2023:i:pb:s0040162522006862
    DOI: 10.1016/j.techfore.2022.122165
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162522006862
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techfore.2022.122165?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. Duygan, Mert & Stauffacher, Michael & Meylan, Grégoire, 2021. "What constitutes agency? Determinants of actors’ influence on formal institutions in Swiss waste management," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    2. Santiago Alzate & Bonie Restrepo-Cuestas & Álvaro Jaramillo-Duque, 2019. "Municipal Solid Waste as a Source of Electric Power Generation in Colombia: A Techno-Economic Evaluation under Different Scenarios," Resources, MDPI, vol. 8(1), pages 1-16, March.
    3. Bertheau, Paul, 2020. "Assessing the impact of renewable energy on local development and the Sustainable Development Goals: Insights from a small Philippine island," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    4. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    5. Kumar, Abhishek & Sah, Bikash & Singh, Arvind R. & Deng, Yan & He, Xiangning & Kumar, Praveen & Bansal, R.C., 2017. "A review of multi criteria decision making (MCDM) towards sustainable renewable energy development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 596-609.
    6. Barroco, Jose & Herrera, Maria, 2019. "Clearing barriers to project finance for renewable energy in developing countries: A Philippines case study," Energy Policy, Elsevier, vol. 135(C).
    7. Lin, Boqiang & Jia, Zhijie, 2020. "Is emission trading scheme an opportunity for renewable energy in China? A perspective of ETS revenue redistributions," Applied Energy, Elsevier, vol. 263(C).
    8. Bauwens, Thomas, 2019. "Analyzing the determinants of the size of investments by community renewable energy members: Findings and policy implications from Flanders," Energy Policy, Elsevier, vol. 129(C), pages 841-852.
    9. Donastorg, Angelines & Renukappa, Suresh & Suresh, Subashini, 2020. "Evaluating critical success factors for implementing renewable energy strategies in the Dominican Republic," Renewable Energy, Elsevier, vol. 149(C), pages 329-335.
    10. Xu, Yelin & Chan, Albert P.C. & Xia, Bo & Qian, Queena K. & Liu, Yong & Peng, Yi, 2015. "Critical risk factors affecting the implementation of PPP waste-to-energy projects in China," Applied Energy, Elsevier, vol. 158(C), pages 403-411.
    11. Nguyen, Hieu T. & Felder, Frank A., 2020. "Generation expansion planning with renewable energy credit markets: A bilevel programming approach," Applied Energy, Elsevier, vol. 276(C).
    12. Zhang, M.M. & Zhang, C. & Liu, L.Y. & Zhou, D.Q., 2020. "Is it time to launch grid parity in the Chinese solar photovoltaic industry? Evidence from 335 cities," Energy Policy, Elsevier, vol. 147(C).
    13. Kalyani, Khanjan Ajaybhai & Pandey, Krishan K., 2014. "Waste to energy status in India: A short review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 113-120.
    14. Banja, Manjola & Sikkema, Richard & Jégard, Martin & Motola, Vincenzo & Dallemand, Jean-François, 2019. "Biomass for energy in the EU – The support framework," Energy Policy, Elsevier, vol. 131(C), pages 215-228.
    15. Demirag, Istemi & Khadaroo, Iqbal & Stapleton, Pamela & Stevenson, Caral, 2011. "Risks and the financing of PPP: Perspectives from the financiers," The British Accounting Review, Elsevier, vol. 43(4), pages 294-310.
    16. Elum, Z.A. & Momodu, A.S., 2017. "Climate change mitigation and renewable energy for sustainable development in Nigeria: A discourse approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 72-80.
    17. Watson, Simon & Moro, Alberto & Reis, Vera & Baniotopoulos, Charalampos & Barth, Stephan & Bartoli, Gianni & Bauer, Florian & Boelman, Elisa & Bosse, Dennis & Cherubini, Antonello & Croce, Alessandro , 2019. "Future emerging technologies in the wind power sector: A European perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
    18. Du, Kerui & Li, Pengzhen & Yan, Zheming, 2019. "Do green technology innovations contribute to carbon dioxide emission reduction? Empirical evidence from patent data," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 297-303.
    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. Zhao, Zichao & Li, Dexuan & Dai, Wensheng, 2023. "Machine-learning-enabled intelligence computing for crisis management in small and medium-sized enterprises (SMEs)," Technological Forecasting and Social Change, Elsevier, vol. 191(C).

    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. Ifaei, Pouya & Tayerani Charmchi, Amir Saman & Loy-Benitez, Jorge & Yang, Rebecca Jing & Yoo, ChangKyoo, 2022. "A data-driven analytical roadmap to a sustainable 2030 in South Korea based on optimal renewable microgrids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    2. Radoslaw Wisniewski & Piotr Daniluk & Aneta Nowakowska-Krystman & Tomasz Kownacki, 2022. "Critical Success Factors of the Energy Sector Security Strategy: The Case of Poland," Energies, MDPI, vol. 15(17), pages 1-27, August.
    3. Agaton, Casper Boongaling & Guno, Charmaine Samala & Villanueva, Resy Ordona & Villanueva, Riza Ordona, 2020. "Economic analysis of waste-to-energy investment in the Philippines: A real options approach," Applied Energy, Elsevier, vol. 275(C).
    4. Yuan, Zhen & Xu, Jie & Li, Bing & Yao, Tingting, 2022. "Limits of technological progress in controlling energy consumption: Evidence from the energy rebound effects across China's industrial sector," Energy, Elsevier, vol. 245(C).
    5. Javanshir Fouladvand & Niek Mouter & Amineh Ghorbani & Paulien Herder, 2020. "Formation and Continuation of Thermal Energy Community Systems: An Explorative Agent-Based Model for the Netherlands," Energies, MDPI, vol. 13(11), pages 1-22, June.
    6. Long, Yilu & Tang, Ming & Liao, Huchang, 2022. "Renewable energy source technology selection considering the empathetic preferences of experts in a cognitive fuzzy social participatory allocation network," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    7. Mohamed, Emad & Seresht, Nima Gerami & Jafari, Parinaz & AbouRizk, Simaan, 2024. "Risk assessment for onshore wind projects in Canada," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
    8. Christian Arnold & Kai-Ingo Voigt, 2019. "Determinants of Industrial Internet of Things Adoption in German Manufacturing Companies," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(06), pages 1-21, October.
    9. Busola D. Akintayo & Oluwafemi E. Ige & Olubayo M. Babatunde & Oludolapo A. Olanrewaju, 2023. "Evaluation and Prioritization of Power-Generating Systems Using a Life Cycle Assessment and a Multicriteria Decision-Making Approach," Energies, MDPI, vol. 16(18), pages 1-18, September.
    10. Emmanuel Ebo Arthur & Solomon Gyamfi & Wolfgang Gerstlberger & Jan Stejskal & Viktor Prokop, 2023. "Towards Circular Economy: Unveiling Heterogeneous Effects of Government Policy Stringency, Environmentally Related Innovation, and Human Capital within OECD Countries," Sustainability, MDPI, vol. 15(6), pages 1-18, March.
    11. Philippe Cohard, 2020. "Information Systems Values: A Study of the Intranet in Three French Higher Education Institutions," Post-Print hal-02987225, HAL.
    12. Awni Rawashdeh, 2013. "Study Toward The Understanding Of Behavioral Intention To Use A Customer Relationship Management (Crm) Systems," Far East Journal of Psychology and Business, Far East Research Centre, vol. 12(1), pages 1-11, September.
    13. Wu, Zhangsheng & Li, Yue & Wang, Rong & Xu, Xu & Ren, Dongyang & Huang, Quanzhong & Xiong, Yunwu & Huang, Guanhua, 2023. "Evaluation of irrigation water saving and salinity control practices of maize and sunflower in the upper Yellow River basin with an agro-hydrological model based method," Agricultural Water Management, Elsevier, vol. 278(C).
    14. Melih Engin & Fatih Gürses, 2019. "Adoption of Hospital Information Systems in Public Hospitals in Turkey: An Analysis with the Unified Theory of Acceptance and Use of Technology Model," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(06), pages 1-19, October.
    15. Ostadzad, Ali Hossein, 2022. "Innovation and carbon emissions: Fixed-effects panel threshold model estimation for renewable energy," Renewable Energy, Elsevier, vol. 198(C), pages 602-617.
    16. Zhao, Jun & Shahbaz, Muhammad & Dong, Kangyin, 2022. "How does energy poverty eradication promote green growth in China? The role of technological innovation," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    17. Hasan, Rajibul & Lowe, Ben & Petrovici, Dan, 2020. "Consumer adoption of pro-poor service innovations in subsistence marketplaces," Journal of Business Research, Elsevier, vol. 121(C), pages 461-475.
    18. Morosan, Cristian, 2016. "An empirical examination of U.S. travelers’ intentions to use biometric e-gates in airports," Journal of Air Transport Management, Elsevier, vol. 55(C), pages 120-128.
    19. Tsung Teng Chen, 2012. "The development and empirical study of a literature review aiding system," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(1), pages 105-116, July.
    20. Lawrence Bunnell & Kweku-Muata Osei-Bryson & Victoria Y. Yoon, 0. "RecSys Issues Ontology: A Knowledge Classification of Issues for Recommender Systems Researchers," Information Systems Frontiers, Springer, vol. 0, pages 1-42.

    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:tefoso:v:186:y:2023:i:pb:s0040162522006862. 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: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .

    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.