IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i20p13271-d943271.html
   My bibliography  Save this article

How to Promote Low-Carbon Cities with Blockchain Technology? A Blockchain-Based Low-Carbon Development Model for Chinese Cities

Author

Listed:
  • Xiwen Fu

    (School of Public Administration, Northwest University, Xi’an 710127, China)

  • Shuxin Wang

    (School of Humanities, Shaanxi University of Technology, Hanzhong 723000, China)

Abstract

Cities are the important spaces, responsible entities and action units for achieving low-carbon and high-quality economy. Blockchain technology provides a new solution for low-carbon development in cities. Based on low-carbon information sharing, low-carbon incentives, low-carbon regulations with blockchain technology, this paper endeavors to propose a low-carbon development model for Chinese cities. The results indicate that: (1) blockchain-based governments, enterprises, city dwellers, and third-party service agencies are important stakeholders in promoting urban low-carbon development; (2) the effectiveness of the blockchain platform needs the coordination between the production and consumption systems, the equal emphasis on systemicity and long-term effectiveness, and the deep integration of government regulations and market mechanism; (3) blockchain-based information sharing instruments, incentive instruments, and regulation instruments should be applied to low-carbon development in cities; (4) blockchain technology promotes low-carbon development for cities in both direct ways and indirect ways. This study can provide a reference for the urban sustainable development in China and other countries.

Suggested Citation

  • Xiwen Fu & Shuxin Wang, 2022. "How to Promote Low-Carbon Cities with Blockchain Technology? A Blockchain-Based Low-Carbon Development Model for Chinese Cities," Sustainability, MDPI, vol. 14(20), pages 1-17, October.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:20:p:13271-:d:943271
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/20/13271/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/20/13271/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Michael Greenstone & Rema Hanna, 2014. "Environmental Regulations, Air and Water Pollution, and Infant Mortality in India," American Economic Review, American Economic Association, vol. 104(10), pages 3038-3072, October.
    2. Zhao, Jincai & Ji, Guangxing & Yue, YanLin & Lai, Zhizhu & Chen, Yulong & Yang, Dongyang & Yang, Xu & Wang, Zheng, 2019. "Spatio-temporal dynamics of urban residential CO2 emissions and their driving forces in China using the integrated two nighttime light datasets," Applied Energy, Elsevier, vol. 235(C), pages 612-624.
    3. Olena Ivus & Matthew Boland, 2015. "The employment and wage impact of broadband deployment in Canada," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 48(5), pages 1803-1830, December.
    4. Sara Saberi & Mahtab Kouhizadeh & Joseph Sarkis & Lejia Shen, 2019. "Blockchain technology and its relationships to sustainable supply chain management," International Journal of Production Research, Taylor & Francis Journals, vol. 57(7), pages 2117-2135, April.
    5. Peter Howson, 2019. "Tackling climate change with blockchain," Nature Climate Change, Nature, vol. 9(9), pages 644-645, September.
    6. Wang, Zhaohua & Yin, Fangchao & Zhang, Yixiang & Zhang, Xian, 2012. "An empirical research on the influencing factors of regional CO2 emissions: Evidence from Beijing city, China," Applied Energy, Elsevier, vol. 100(C), pages 277-284.
    7. Lugaric, Luka & Krajcar, Slavko, 2016. "Transforming cities towards sustainable low-carbon energy systems using emergy synthesis for support in decision making," Energy Policy, Elsevier, vol. 98(C), pages 471-482.
    8. Zhang, Jinyun & Zhang, Yan & Yang, Zhifeng & Fath, Brian D. & Li, Shengsheng, 2013. "Estimation of energy-related carbon emissions in Beijing and factor decomposition analysis," Ecological Modelling, Elsevier, vol. 252(C), pages 258-265.
    9. Rui Sun & Dayi He & Jingjing Yan & Li Tao, 2021. "Mechanism Analysis of Applying Blockchain Technology to Forestry Carbon Sink Projects Based on the Differential Game Model," Sustainability, MDPI, vol. 13(21), pages 1-18, October.
    10. Chuanzhun Sun & Chao Sun & Zhenshan Yang & Jikang Zhang & Yu Deng, 2016. "Urban Land Development for Industrial and Commercial Use: A Case Study of Beijing," Sustainability, MDPI, vol. 8(12), pages 1-18, December.
    11. An, Kangxin & Zhang, Shihui & Huang, Hai & Liu, Yuan & Cai, Wenjia & Wang, Can, 2021. "Socioeconomic impacts of household participation in emission trading scheme: A Computable General Equilibrium-based case study," Applied Energy, Elsevier, vol. 288(C).
    12. Sun, Lu & Liu, Wenjing & Li, Zhaoling & Cai, Bofeng & Fujii, Minoru & Luo, Xiao & Chen, Wei & Geng, Yong & Fujita, Tsuyoshi & Le, Yiping, 2021. "Spatial and structural characteristics of CO2 emissions in East Asian megacities and its indication for low-carbon city development," Applied Energy, Elsevier, vol. 284(C).
    13. Tian, Xin & Chang, Miao & Lin, Chen & Tanikawa, Hiroki, 2014. "China’s carbon footprint: A regional perspective on the effect of transitions in consumption and production patterns," Applied Energy, Elsevier, vol. 123(C), pages 19-28.
    14. Lee Won Park & Sanghoon Lee & Hangbae Chang, 2018. "A Sustainable Home Energy Prosumer-Chain Methodology with Energy Tags over the Blockchain," Sustainability, MDPI, vol. 10(3), pages 1-18, March.
    15. Seong-Kyu Kim & Jun-Ho Huh, 2020. "Blockchain of Carbon Trading for UN Sustainable Development Goals," Sustainability, MDPI, vol. 12(10), pages 1-32, May.
    16. Tan, Sieting & Yang, Jin & Yan, Jinyue & Lee, Chewtin & Hashim, Haslenda & Chen, Bin, 2017. "A holistic low carbon city indicator framework for sustainable development," Applied Energy, Elsevier, vol. 185(P2), pages 1919-1930.
    17. Cai, Bofeng & Cui, Can & Zhang, Da & Cao, Libin & Wu, Pengcheng & Pang, Lingyun & Zhang, Jihong & Dai, Chunyan, 2019. "China city-level greenhouse gas emissions inventory in 2015 and uncertainty analysis," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    18. Yu, Yantuan & Zhang, Ning, 2021. "Low-carbon city pilot and carbon emission efficiency: Quasi-experimental evidence from China," Energy Economics, Elsevier, vol. 96(C).
    19. Andoni, Merlinda & Robu, Valentin & Flynn, David & Abram, Simone & Geach, Dale & Jenkins, David & McCallum, Peter & Peacock, Andrew, 2019. "Blockchain technology in the energy sector: A systematic review of challenges and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 100(C), pages 143-174.
    20. Fawcett, Tina, 2010. "Personal carbon trading: A policy ahead of its time?," Energy Policy, Elsevier, vol. 38(11), pages 6868-6876, November.
    21. Li, Pei & Lu, Yi & Wang, Jin, 2016. "Does flattening government improve economic performance? Evidence from China," Journal of Development Economics, Elsevier, vol. 123(C), pages 18-37.
    22. Song, Qijiao & Qin, Ming & Wang, Ruichen & Qi, Ye, 2020. "How does the nested structure affect policy innovation?: Empirical research on China's low carbon pilot cities," Energy Policy, Elsevier, vol. 144(C).
    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. Du, Xiaoyun & Meng, Conghui & Guo, Zhenhua & Yan, Hang, 2023. "An improved approach for measuring the efficiency of low carbon city practice in China," Energy, Elsevier, vol. 268(C).
    2. Guorong Chen & Changyan Liu, 2023. "Can Low–Carbon City Development Stimulate Population Growth? Insights from China’s Low–Carbon Pilot Program," Sustainability, MDPI, vol. 15(20), pages 1-22, October.
    3. Naif Al Azmi & Ghaleb Sweis & Rateb Sweis & Farouq Sammour, 2022. "Exploring Implementation of Blockchain for the Supply Chain Resilience and Sustainability of the Construction Industry in Saudi Arabia," Sustainability, MDPI, vol. 14(11), pages 1-17, May.
    4. Kouhizadeh, Mahtab & Saberi, Sara & Sarkis, Joseph, 2021. "Blockchain technology and the sustainable supply chain: Theoretically exploring adoption barriers," International Journal of Production Economics, Elsevier, vol. 231(C).
    5. Yildizbasi, Abdullah, 2021. "Blockchain and renewable energy: Integration challenges in circular economy era," Renewable Energy, Elsevier, vol. 176(C), pages 183-197.
    6. Botao Jiang & Zhisong He & Wei Xue & Cheng Yang & Hanbo Zhu & Yifei Hua & Bin Lu, 2022. "China’s Low-Carbon Cities Pilot Promotes Sustainable Carbon Emission Reduction: Evidence from Quasi-Natural Experiments," Sustainability, MDPI, vol. 14(15), pages 1-17, July.
    7. Jingbo Liu & Haoyuan Feng & Kun Wang, 2022. "The Low-Carbon City Pilot Policy and Urban Land Use Efficiency: A Policy Assessment from China," Land, MDPI, vol. 11(5), pages 1-18, April.
    8. Yajun Zhu & Churen Sun, 2022. "Carbon Reduction, Pollution Intensity, and Firms’ Ratios of Value Added in Exports: Evidence from China’s Low-Carbon Pilot Policy," Sustainability, MDPI, vol. 14(19), pages 1-26, October.
    9. Marco Schletz & Ana Cardoso & Gabriela Prata Dias & Søren Salomo, 2020. "How Can Blockchain Technology Accelerate Energy Efficiency Interventions? A Use Case Comparison," Energies, MDPI, vol. 13(22), pages 1-23, November.
    10. Ping Guo & Jin Li & Jinsong Kuang & Yifei Zhu & Renrui Xiao & Donghao Duan & Baocong Huang, 2022. "Low-Carbon Governance, Fiscal Decentralization and Sulfur Dioxide Emissions: Evidence from a Quasi-Experiment with Chinese Heavy Pollution Enterprises," Sustainability, MDPI, vol. 14(6), pages 1-24, March.
    11. Huaxing Wang & Chuan Chen & Zhiqiao Xiong & Dandan Li, 2023. "How to Achieve Carbon Neutrality in Cities? Evidence from China’s Low-Carbon Cities Development," IJERPH, MDPI, vol. 20(3), pages 1-16, January.
    12. A. J. Jin & C. Li & J. Su & J. Tan, 2022. "Fundamental Studies of Smart Distributed Energy Resources along with Energy Blockchain," Energies, MDPI, vol. 15(21), pages 1-12, October.
    13. Lin, Boqiang & Zhu, Junpeng, 2019. "Impact of energy saving and emission reduction policy on urban sustainable development: Empirical evidence from China," Applied Energy, Elsevier, vol. 239(C), pages 12-22.
    14. Mahmoona Khalil & Kausar Fiaz Khawaja & Muddassar Sarfraz, 2022. "The adoption of blockchain technology in the financial sector during the era of fourth industrial revolution: a moderated mediated model," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(4), pages 2435-2452, August.
    15. Daoyan Guo & Hong Chen & Ruyin Long, 2019. "What Role Should Government Play in the Personal Carbon Trading Market: Motivator or Punisher?," IJERPH, MDPI, vol. 16(11), pages 1-16, May.
    16. Li, Zhen & Wu, Baijun & Wang, Danyang & Tang, Maogang, 2022. "Government mandatory energy-biased technological progress and enterprises' environmental performance: Evidence from a quasi-natural experiment of cleaner production standards in China," Energy Policy, Elsevier, vol. 162(C).
    17. Yahia Baashar & Gamal Alkawsi & Ammar Ahmed Alkahtani & Wahidah Hashim & Rina Azlin Razali & Sieh Kiong Tiong, 2021. "Toward Blockchain Technology in the Energy Environment," Sustainability, MDPI, vol. 13(16), pages 1-20, August.
    18. Dorfleitner, Gregor & Muck, Franziska & Scheckenbach, Isabel, 2021. "Blockchain applications for climate protection: A global empirical investigation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    19. Hongfeng Zhang & Lu Huang & Yan Zhu & Hongyun Si & Xu He, 2021. "Does Low-Carbon City Construction Improve Total Factor Productivity? Evidence from a Quasi-Natural Experiment in China," IJERPH, MDPI, vol. 18(22), pages 1-21, November.
    20. Ye, Wang & Wong, Wing-Keung & Arnone, Gioia & Nassani, Abdelmohsen A. & Haffar, Mohamed & Faiz, Muhammad Fauzinudin, 2023. "Crypto currency and green investment impact on global environment: A time series analysis," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 155-169.

    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:14:y:2022:i:20:p:13271-:d:943271. 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.