IDEAS home Printed from https://ideas.repec.org/a/kap/ecopln/v57y2024i2d10.1007_s10644-024-09635-8.html
   My bibliography  Save this article

The role of green technology and green utility performance in advancing energy utilities' commitment to sustainability

Author

Listed:
  • Dan Sun

    (Hunan Institute of Engineering)

Abstract

A critical factor in promoting sustainability in the face of growing environmental concerns and the need to tackle climate change is the energy utility industry. Data Envelopment Analysis and Markov Chain analysis are used to quantify and extensively examine the findings of this study. The term "green recovery" now describes a fundamental approach for reviving cities and improving the quality of life for its residents. This research looks at how crucial green technology is to the energy industry and how it affects green utilities' effectiveness in encouraging a commitment to sustainability. Utilizing a variety of sources, such as scholarly studies official documents and trade journals, the study investigates the mutually beneficial connection between the uptake of new technologies and energy utilities' dedication to environmentally friendly operations. According to the research, achieving high green utility performance and integrating green technology are closely related.

Suggested Citation

  • Dan Sun, 2024. "The role of green technology and green utility performance in advancing energy utilities' commitment to sustainability," Economic Change and Restructuring, Springer, vol. 57(2), pages 1-24, April.
    • Handle: RePEc:kap:ecopln:v:57:y:2024:i:2:d:10.1007_s10644-024-09635-8
    DOI: 10.1007/s10644-024-09635-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10644-024-09635-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10644-024-09635-8?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. Caporale, Guglielmo Maria & Menla Ali, Faek & Spagnolo, Nicola, 2015. "Oil price uncertainty and sectoral stock returns in China: A time-varying approach," China Economic Review, Elsevier, vol. 34(C), pages 311-321.
    2. Dicle Ozdemir, 2020. "Cyclical causalities between the U.S. wholesale beef and feed prices: A Markov-switching approach," Economics and Business Letters, Oviedo University Press, vol. 9(2), pages 135-145.
    3. Li, ChangZheng & Umair, Muhammad, 2023. "Does green finance development goals affects renewable energy in China," Renewable Energy, Elsevier, vol. 203(C), pages 898-905.
    4. Kiviet, Jan F., 1995. "On bias, inconsistency, and efficiency of various estimators in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 68(1), pages 53-78, July.
    5. Rangan Gupta & Christian Pierdzioch & Wing-Keung Wong, 2021. "A Note on Forecasting the Historical Realized Variance of Oil-Price Movements: The Role of Gold-to-Silver and Gold-to-Platinum Price Ratios," Energies, MDPI, vol. 14(20), pages 1-12, October.
    6. Yu, Mengyan & Umair, Muhammad & Oskenbayev, Yessengali & Karabayeva, Zhаnsaya, 2023. "Exploring the nexus between monetary uncertainty and volatility in global crude oil: A contemporary approach of regime-switching," Resources Policy, Elsevier, vol. 85(PB).
    7. Kucharska, Wioleta, 2022. "Tacit knowledge influence on intellectual capital and innovativeness in the healthcare sector: A cross-country study of Poland and the US," Journal of Business Research, Elsevier, vol. 149(C), pages 869-883.
    8. Wu, Qihan & Yan, Dong & Umair, Muhammad, 2023. "Assessing the role of competitive intelligence and practices of dynamic capabilities in business accommodation of SMEs," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 1103-1114.
    9. Xin Yang & Shigang Wen & Zhifeng Liu & Cai Li & Chuangxia Huang, 2019. "Dynamic Properties of Foreign Exchange Complex Network," Mathematics, MDPI, vol. 7(9), pages 1-19, September.
    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. Zhang, Xiheng & Liu, Jiayu & Zhang, Kaiqi & Robert, James, 2023. "Analysis of firm performance in presence of oil price shocks: Importance of skilled management," Resources Policy, Elsevier, vol. 86(PA).
    2. Guo, Yating & Rosland, Anitha & Ishak, Suryati & Muhammad Senan, Mohammad Khair Afham, 2023. "Public spending and natural resources development: A way toward green economic growth in China," Resources Policy, Elsevier, vol. 86(PB).
    3. Kong, Jiangwei & Gao, Mengxi, 2024. "Sustainable strategies for boosting profitability: Unveiling the connection between fiscal policy and natural resource efficiency," Resources Policy, Elsevier, vol. 88(C).
    4. Feng, Amei & Liu, Liqian, 2023. "Local green economic growth and natural resources development in China," Resources Policy, Elsevier, vol. 86(PB).
    5. Li, Yang & Du, Qingfeng, 2024. "Oil price volatility and gold prices volatility asymmetric links with natural resources via financial market fluctuations: Implications for green recovery," Resources Policy, Elsevier, vol. 88(C).
    6. Li, Na & Dilanchiev, Azer & Mustafa, Ghulam, 2023. "From oil and mineral extraction to renewable energy: Analyzing the efficiency of green technology innovation in the transformation of the oil and gas sector in the extractive industry," Resources Policy, Elsevier, vol. 86(PA).
    7. Qi, Ruijuan & Ma, Guowei & Zhang, Qiwen & Liu, Chang & Wang, Qi, 2024. "Innovation for sustainability: Harnessing the power of efficient natural resource markets for a greener economic recovery," Resources Policy, Elsevier, vol. 88(C).
    8. Liu, Xiujuan, 2024. "A regenerative paradigm: Fostering economic recovery by harnessing natural resource efficiency for lasting sustainability," Resources Policy, Elsevier, vol. 88(C).
    9. Xiaodan Zhang, 2024. "Long-term goal: the role of economic transformation and reorganization in the energy transition," Economic Change and Restructuring, Springer, vol. 57(2), pages 1-19, April.
    10. Bai, Bing, 2023. "Fiscal stimulus and natural resource efficiency: A comprehensive approach to a green economic recovery," Resources Policy, Elsevier, vol. 86(PB).
    11. Sun, Yi & Gao, Junjun, 2023. "Natural resource endowment and its lmpact on ecological efficiency," Resources Policy, Elsevier, vol. 87(PB).
    12. Tu, Haiqiang & Zhou, Zhenhua, 2023. "Resilience and the sustainability: Harnessing efficiency in the natural resources markets for recovery," Resources Policy, Elsevier, vol. 86(PB).
    13. Zhang, Chenjing & Yang, Siyue & Yan, Borui & Wang, Mancang, 2023. "Mitigating natural resource depletion and enterprise resource risk: How does inclusive digital finance supports green recovery?," Resources Policy, Elsevier, vol. 87(PA).
    14. Mao, Zhouheng & Wang, Hui & Bibi, Sidra, 2024. "Crude oil volatility spillover and stock market returns across the COVID-19 pandemic and post-pandemic periods: An empirical study of China, US, and India," Resources Policy, Elsevier, vol. 88(C).
    15. Zhou, Yongbin & Liu, Yiying & Niu, Juanjuan, 2024. "Role of mineral-based industrialization in promoting economic growth: Implications for achieving environmental sustainability and social equity," Resources Policy, Elsevier, vol. 88(C).
    16. Kai Chen & Yilin Chen, 2024. "Biomass energy and rural development: economic benefits and sustainability pathways," Economic Change and Restructuring, Springer, vol. 57(3), pages 1-34, June.
    17. Xiaoxiao Wu & Hongfu Chen & Ying Qian & Quanyong Lei, 2024. "Fostering social innovation in the energy transition: entrepreneurial solutions for a sustainable economy," Economic Change and Restructuring, Springer, vol. 57(2), pages 1-19, April.
    18. Xiong, Wei & Jiang, Mengzhen & Tashkhodjaev, Mukhtorkhon & Pashayev, Zohrab, 2023. "Greening the economic recovery: Natural resource market efficiency as a key driver," Resources Policy, Elsevier, vol. 86(PB).
    19. Liang Cheng, 2024. "Energy transition and the role of circular supply chains: toward resource efficiency and sustainable economic practices," Economic Change and Restructuring, Springer, vol. 57(2), pages 1-19, April.
    20. Xie, Biqing & Xie, Bibo, 2024. "Assessing the impact of climate policy on energy security in developed economies," International Review of Economics & Finance, Elsevier, vol. 90(C), pages 265-282.

    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:kap:ecopln:v:57:y:2024:i:2:d:10.1007_s10644-024-09635-8. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.