IDEAS home Printed from https://ideas.repec.org/a/ayb/jrnael/3.html
   My bibliography  Save this article

The Role of Internet Development on Energy Intensity in China - Evidence From a Spatial Econometric Analysis

Author

Listed:
  • Yu Hao
  • Haitao Wu

    (Beijing Institute of Technology, China)

Abstract

With the emergence of information communication technology, the role of internet development has become crucial for energy intensity. This study uses the spatial Durbin model to test the impact of internet development on China’s energy intensity. The results show that internet development reduces energy intensity. Internet development though carries spatial spillover effects, promoting energy intensity in adjacent areas.

Suggested Citation

  • Yu Hao & Haitao Wu, 2021. "The Role of Internet Development on Energy Intensity in China - Evidence From a Spatial Econometric Analysis," Asian Economics Letters, Asia-Pacific Applied Economics Association, vol. 1(1), pages 1-6.
  • Handle: RePEc:ayb:jrnael:3
    DOI: 2021/06/27
    as

    Download full text from publisher

    File URL: https://a-e-l.scholasticahq.com/api/v1/articles/17194-the-role-of-internet-development-on-energy-intensity-in-china-evidence-from-a-spatial-econometric-analysis.pdf
    Download Restriction: no

    File URL: https://libkey.io/2021/06/27?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
    ---><---

    References listed on IDEAS

    as
    1. Nina Czernich & Oliver Falck & Tobias Kretschmer & Ludger Woessmann, 2011. "Broadband Infrastructure and Economic Growth," Economic Journal, Royal Economic Society, vol. 121(552), pages 505-532, May.
    2. Rafiq, Shuddhasattwa & Salim, Ruhul & Nielsen, Ingrid, 2016. "Urbanization, openness, emissions, and energy intensity: A study of increasingly urbanized emerging economies," Energy Economics, Elsevier, vol. 56(C), pages 20-28.
    3. Wu, Haitao & Hao, Yu & Ren, Siyu, 2020. "How do environmental regulation and environmental decentralization affect green total factor energy efficiency: Evidence from China," Energy Economics, Elsevier, vol. 91(C).
    4. Wu, Haitao & Hao, Yu & Weng, Jia-Hsi, 2019. "How does energy consumption affect China's urbanization? New evidence from dynamic threshold panel models," Energy Policy, Elsevier, vol. 127(C), pages 24-38.
    5. Hao, Yu & Gai, Zhiqiang & Wu, Haitao, 2020. "How do resource misallocation and government corruption affect green total factor energy efficiency? Evidence from China," Energy Policy, Elsevier, vol. 143(C).
    6. Cho, Youngsang & Lee, Jongsu & Kim, Tai-Yoo, 2007. "The impact of ICT investment and energy price on industrial electricity demand: Dynamic growth model approach," Energy Policy, Elsevier, vol. 35(9), pages 4730-4738, September.
    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. Zhang, Wei & Liu, Xuemeng & Wang, Die & Zhou, Jianping, 2022. "Digital economy and carbon emission performance: Evidence at China's city level," Energy Policy, Elsevier, vol. 165(C).
    2. Da Gao & Xinlin Mo & Kun Duan & Yi Li, 2022. "Can Green Credit Policy Promote Firms’ Green Innovation? Evidence from China," Sustainability, MDPI, vol. 14(7), pages 1-15, March.

    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. Ren, Siyu & Hao, Yu & Xu, Lu & Wu, Haitao & Ba, Ning, 2021. "Digitalization and energy: How does internet development affect China's energy consumption?," Energy Economics, Elsevier, vol. 98(C).
    2. Weixiang Zhao & Yankun Xu, 2022. "Public Expenditure and Green Total Factor Productivity: Evidence from Chinese Prefecture-Level Cities," IJERPH, MDPI, vol. 19(9), pages 1-27, May.
    3. Yu Hao & Yunxia Guo & Haitao Wu, 2022. "The role of information and communication technology on green total factor energy efficiency: Does environmental regulation work?," Business Strategy and the Environment, Wiley Blackwell, vol. 31(1), pages 403-424, January.
    4. Yu Hao & Jingwen Huang & Yunxia Guo & Haitao Wu & Siyu Ren, 2022. "Does the legacy of state planning put pressure on ecological efficiency? Evidence from China," Business Strategy and the Environment, Wiley Blackwell, vol. 31(7), pages 3100-3121, November.
    5. Fang, Zhen & Razzaq, Asif & Mohsin, Muhammad & Irfan, Muhammad, 2022. "Spatial spillovers and threshold effects of internet development and entrepreneurship on green innovation efficiency in China," Technology in Society, Elsevier, vol. 68(C).
    6. Zhang, Jinning & Wang, Jianlong & Yang, Xiaodong & Ren, Siyu & Ran, Qiying & Hao, Yu, 2021. "Does local government competition aggravate haze pollution? A new perspective of factor market distortion," Socio-Economic Planning Sciences, Elsevier, vol. 76(C).
    7. Jingxia Chai & Yu Hao & Haitao Wu & Yuemiao Yang, 2021. "Do constraints created by economic growth targets benefit sustainable development? Evidence from China," Business Strategy and the Environment, Wiley Blackwell, vol. 30(8), pages 4188-4205, December.
    8. Wu, Haitao & Xia, Yufeng & Yang, Xiaodong & Hao, Yu & Ren, Siyu, 2021. "Does environmental pollution promote China's crime rate? A new perspective through government official corruption," Structural Change and Economic Dynamics, Elsevier, vol. 57(C), pages 292-307.
    9. Wu, Haitao & Xue, Yan & Hao, Yu & Ren, Siyu, 2021. "How does internet development affect energy-saving and emission reduction? Evidence from China," Energy Economics, Elsevier, vol. 103(C).
    10. Shen, Zhiyang & Wu, Haitao & Bai, Kaixuan & Hao, Yu, 2022. "Integrating economic, environmental and societal performance within the productivity measurement," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    11. Junhong Qu & Xiaoli Hao, 2022. "Digital Economy, Financial Development, and Energy Poverty Based on Mediating Effects and a Spatial Autocorrelation Model," Sustainability, MDPI, vol. 14(15), pages 1-24, July.
    12. Zebin Zheng & Wenjun Xiao & Ziye Cheng, 2023. "China’s Green Total Factor Energy Efficiency Assessment Based on Coordinated Reduction in Pollution and Carbon Emission: From the 11th to the 13th Five-Year Plan," Sustainability, MDPI, vol. 15(9), pages 1-20, April.
    13. Ren, Siyu & Hao, Yu & Wu, Haitao, 2022. "The role of outward foreign direct investment (OFDI) on green total factor energy efficiency: Does institutional quality matters? Evidence from China," Resources Policy, Elsevier, vol. 76(C).
    14. Yu, Yantuan & Zhang, Ning & Kim, Jong Dae, 2020. "Impact of urbanization on energy demand: An empirical study of the Yangtze River Economic Belt in China," Energy Policy, Elsevier, vol. 139(C).
    15. Ye, Jiangfeng & Wan, Qunchao & Li, Ruida & Yao, Zhu & Huang, Dujuan, 2022. "How do R&D agglomeration and economic policy uncertainty affect the innovative performance of Chinese high-tech industry?," Technology in Society, Elsevier, vol. 69(C).
    16. Haikuo Zhang & Chaobo Zhou, 2023. "Construction of the Pilot Free Trade Zone and Chinese Green Total Factor Energy Efficiency," Sustainability, MDPI, vol. 15(12), pages 1-13, June.
    17. Wu, Qingyang & Wang, Yanying, 2022. "How does carbon emission price stimulate enterprises' total factor productivity? Insights from China's emission trading scheme pilots," Energy Economics, Elsevier, vol. 109(C).
    18. Oleksii Lyulyov & Tetyana Pimonenko & Aleksy Kwilinski & Henryk Dzwigol & Mariola Dzwigol-Barosz & Vladyslav Pavlyk & Piotr Barosz, 2021. "The Impact of the Government Policy on the Energy Efficient Gap: The Evidence from Ukraine," Energies, MDPI, vol. 14(2), pages 1-13, January.
    19. Luan, Bingjiang & Zou, Hong & Chen, Shuxing & Huang, Junbing, 2021. "The effect of industrial structure adjustment on China’s energy intensity: Evidence from linear and nonlinear analysis," Energy, Elsevier, vol. 218(C).
    20. Meng, Ming & Qu, Danlei, 2022. "Understanding the green energy efficiencies of provinces in China: A Super-SBM and GML analysis," Energy, Elsevier, vol. 239(PA).

    More about this item

    Keywords

    spatial spillover; energy intensity; internet development;
    All these keywords.

    JEL classification:

    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
    • L8 - Industrial Organization - - Industry Studies: Services

    Statistics

    Access and download statistics

    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:ayb:jrnael:3. 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: Asia-Pacific Applied Economics Association (email available below). General contact details of provider: https://edirc.repec.org/data/apaeaea.html .

    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.