IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v263y2023ipas0360544222023994.html
   My bibliography  Save this article

Is the construction of new energy demonstration cities conducive to improvements in energy efficiency?

Author

Listed:
  • Cheng, Zhonghua
  • Yu, Xuejin
  • Zhang, Yi

Abstract

As a low-cost urban development model with Chinese characteristics, the policy of new energy demonstration cities (NEDC) is very important for China's quest to achieve a green economy and meet established emissions reduction targets. Using the panel data of 285 cities from 2004 to 2020 and, on the basis of theoretical analysis of the mechanism of NEDC affecting energy efficiency, we use the difference-in-differences (DID) approach to empirically verify the influence of NEDC on energy efficiency and its role path. The research indicates that implementation of NEDC can significantly facilitate improvements in urban energy efficiency, with associated robustness tests indicating that the conclusions are sufficiently robust. The heterogeneity outcomes show that this facilitating effect is more pronounced in big cities as well as resource-based cities. An examination of the mechanism reveals that innovation effects, industrial effects, structural effects and service impacts are the main ways by which the development of NEDC promotes improvements in energy efficiency.

Suggested Citation

  • Cheng, Zhonghua & Yu, Xuejin & Zhang, Yi, 2023. "Is the construction of new energy demonstration cities conducive to improvements in energy efficiency?," Energy, Elsevier, vol. 263(PA).
  • Handle: RePEc:eee:energy:v:263:y:2023:i:pa:s0360544222023994
    DOI: 10.1016/j.energy.2022.125517
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544222023994
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2022.125517?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. Zhang, Ning & Zhao, Yu & Wang, Na, 2022. "Is China's energy policy effective for power plants? Evidence from the 12th Five-Year Plan energy saving targets," Energy Economics, Elsevier, vol. 112(C).
    2. Zheng, Huanyu & Song, Malin & Shen, Zhiyang, 2021. "The evolution of renewable energy and its impact on carbon reduction in China," Energy, Elsevier, vol. 237(C).
    3. Li, Ke & Lin, Boqiang, 2015. "Measuring green productivity growth of Chinese industrial sectors during 1998–2011," China Economic Review, Elsevier, vol. 36(C), pages 279-295.
    4. Kangas, Hanna-Liisa & Lazarevic, David & Kivimaa, Paula, 2018. "Technical skills, disinterest and non-functional regulation: Barriers to building energy efficiency in Finland viewed by energy service companies," Energy Policy, Elsevier, vol. 114(C), pages 63-76.
    5. Chen, Yvonne Jie & Li, Pei & Lu, Yi, 2018. "Career concerns and multitasking local bureaucrats: Evidence of a target-based performance evaluation system in China," Journal of Development Economics, Elsevier, vol. 133(C), pages 84-101.
    6. Jacksohn, Anke & Grösche, Peter & Rehdanz, Katrin & Schröder, Carsten, 2019. "Drivers of renewable technology adoption in the household sector," Energy Economics, Elsevier, vol. 81(C), pages 216-226.
    7. Cheng, Zhonghua & Li, Xiang & Wang, Meixiao, 2021. "Resource curse and green economic growth," Resources Policy, Elsevier, vol. 74(C).
    8. Oh, Dong-hyun, 2010. "A metafrontier approach for measuring an environmentally sensitive productivity growth index," Energy Economics, Elsevier, vol. 32(1), pages 146-157, January.
    9. Li, Ke & Lin, Boqiang, 2015. "Metafroniter energy efficiency with CO2 emissions and its convergence analysis for China," Energy Economics, Elsevier, vol. 48(C), pages 230-241.
    10. Luqman, Muhammad & Ahmad, Najid & Bakhsh, Khuda, 2019. "Nuclear energy, renewable energy and economic growth in Pakistan: Evidence from non-linear autoregressive distributed lag model," Renewable Energy, Elsevier, vol. 139(C), pages 1299-1309.
    11. Awerbuch, Shimon & Sauter, Raphael, 2006. "Exploiting the oil-GDP effect to support renewables deployment," Energy Policy, Elsevier, vol. 34(17), pages 2805-2819, November.
    12. Sinha, Avik & Shahbaz, Muhammad & Sengupta, Tuhin, 2018. "Renewable Energy Policies and Contradictions in Causality: A case of Next 11 Countries," MPRA Paper 87542, University Library of Munich, Germany, revised 17 Jun 2018.
    13. Cheng, Zhonghua & Liu, Jun & Li, Lianshui & Gu, Xinbei, 2020. "Research on meta-frontier total-factor energy efficiency and its spatial convergence in Chinese provinces," Energy Economics, Elsevier, vol. 86(C).
    14. Guo, Ran & Yuan, Yijun, 2020. "Different types of environmental regulations and heterogeneous influence on energy efficiency in the industrial sector: Evidence from Chinese provincial data," Energy Policy, Elsevier, vol. 145(C).
    15. Ocal, Oguz & Aslan, Alper, 2013. "Renewable energy consumption–economic growth nexus in Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 28(C), pages 494-499.
    16. Sharif, Arshian & Raza, Syed Ali & Ozturk, Ilhan & Afshan, Sahar, 2019. "The dynamic relationship of renewable and nonrenewable energy consumption with carbon emission: A global study with the application of heterogeneous panel estimations," Renewable Energy, Elsevier, vol. 133(C), pages 685-691.
    17. Zhang, Yue-Jun & Sun, Ya-Fang & Huang, Junling, 2018. "Energy efficiency, carbon emission performance, and technology gaps: Evidence from CDM project investment," Energy Policy, Elsevier, vol. 115(C), pages 119-130.
    18. Dong-hyun Oh & Jeong-dong Lee, 2010. "A metafrontier approach for measuring Malmquist productivity index," Empirical Economics, Springer, vol. 38(1), pages 47-64, February.
    19. Yu, Yantuan & Zhang, Ning, 2021. "Low-carbon city pilot and carbon emission efficiency: Quasi-experimental evidence from China," Energy Economics, Elsevier, vol. 96(C).
    20. Zhou, Anhua & Li, Jun, 2021. "Investigate the impact of market reforms on the improvement of manufacturing energy efficiency under China’s provincial-level data," Energy, Elsevier, vol. 228(C).
    21. Shi, Xinzheng & Xu, Zhufeng, 2018. "Environmental regulation and firm exports: Evidence from the eleventh Five-Year Plan in China," Journal of Environmental Economics and Management, Elsevier, vol. 89(C), pages 187-200.
    22. Nicholas Apergis & Ruhul Salim, 2015. "Renewable energy consumption and unemployment: evidence from a sample of 80 countries and nonlinear estimates," Applied Economics, Taylor & Francis Journals, vol. 47(52), pages 5614-5633, November.
    23. Wang, Qiao & Yi, Hongtao, 2021. "New energy demonstration program and China's urban green economic growth: Do regional characteristics make a difference?," Energy Policy, Elsevier, vol. 151(C).
    24. Shubing Guo & Xueli Zhan & Junhai Ma, 2018. "Construction of a Relational Leadership Model Based on a Two-Stage Least Square Method and an Investigation on the Interaction Among the Factors in the Model," International Journal of Information Systems and Supply Chain Management (IJISSCM), IGI Global, vol. 11(1), pages 14-30, January.
    25. Zhou, P. & Ang, B.W. & Wang, H., 2012. "Energy and CO2 emission performance in electricity generation: A non-radial directional distance function approach," European Journal of Operational Research, Elsevier, vol. 221(3), pages 625-635.
    26. Liu, Yang & Yao, Xilong & Wei, Taoyuan, 2019. "Energy efficiency gap and target setting: A study of information asymmetry between governments and industries in China," China Economic Review, Elsevier, vol. 57(C).
    27. Koçak, Emrah & Şarkgüneşi, Aykut, 2017. "The renewable energy and economic growth nexus in Black Sea and Balkan countries," Energy Policy, Elsevier, vol. 100(C), pages 51-57.
    28. Menegaki, Angeliki N. & Tsagarakis, Konstantinos P., 2015. "Rich enough to go renewable, but too early to leave fossil energy?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 1465-1477.
    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. Huang, Xiaoling & Tian, Peng, 2023. "Polluting thy neighbor or benefiting thy neighbor: Effects of the clean energy development on haze pollution in China," Energy, Elsevier, vol. 268(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. Sheng, Jichuan & Qiu, Wenge, 2023. "Inter-basin water transfer policies and water-use technical efficiency: China's South-North Water Transfer Project," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    2. Zhang, Ning & Zhao, Yu & Wang, Na, 2022. "Is China's energy policy effective for power plants? Evidence from the 12th Five-Year Plan energy saving targets," Energy Economics, Elsevier, vol. 112(C).
    3. Cheng, Zhonghua & Liu, Jun & Li, Lianshui & Gu, Xinbei, 2020. "Research on meta-frontier total-factor energy efficiency and its spatial convergence in Chinese provinces," Energy Economics, Elsevier, vol. 86(C).
    4. Li, Xiang & Cheng, Zhonghua, 2022. "Does high-speed rail improve urban carbon emission efficiency in China?," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    5. Chuanxin Xia & Yu Zhao & Qingxia Zhao & Shuo Wang & Ning Zhang, 2022. "Exact Eco-Efficiency Measurement in the Yellow River Basin: A New Non-Parametric Approach," Sustainability, MDPI, vol. 14(20), pages 1-18, October.
    6. Cheng, Zhonghua & Li, Lianshui & Liu, Jun & Zhang, Huiming, 2018. "Total-factor carbon emission efficiency of China's provincial industrial sector and its dynamic evolution," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 330-339.
    7. Sheng, Jichuan & Qiu, Wenge, 2022. "Water-use technical efficiency and income: Evidence from China's South-North Water Transfer Project," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    8. Lin, Boqiang & Xu, Mengmeng, 2018. "Regional differences on CO2 emission efficiency in metallurgical industry of China," Energy Policy, Elsevier, vol. 120(C), pages 302-311.
    9. Feng, Chao & Wang, Miao, 2018. "Analysis of energy efficiency in China's transportation sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 565-575.
    10. Ke Li & Malin Song, 2016. "Green Development Performance in China: A Metafrontier Non-Radial Approach," Sustainability, MDPI, vol. 8(3), pages 1-21, March.
    11. Chang, Chiu-Lan & Fang, Ming, 2022. "Renewable energy-led growth hypothesis: New insights from BRICS and N-11 economies," Renewable Energy, Elsevier, vol. 188(C), pages 788-800.
    12. Wang, Qunwei & Chiu, Yung-Ho & Chiu, Ching-Ren, 2017. "Non-radial metafrontier approach to identify carbon emission performance and intensity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 664-672.
    13. Ding, Li-Li & Lei, Liang & Zhao, Xin & Calin, Adrian Cantemir, 2020. "Modelling energy and carbon emission performance: A constrained performance index measure," Energy, Elsevier, vol. 197(C).
    14. Jianglong Li & Boqiang Lin, 2016. "Green Economy Performance and Green Productivity Growth in China’s Cities: Measures and Policy Implication," Sustainability, MDPI, vol. 8(9), pages 1-21, September.
    15. Zha, Donglan & Yang, Guanglei & Wang, Qunwei, 2019. "Investigating the driving factors of regional CO2 emissions in China using the IDA-PDA-MMI method," Energy Economics, Elsevier, vol. 84(C).
    16. Yanni Yu & Yongrok Choi, 2015. "Measuring Environmental Performance Under Regional Heterogeneity in China: A Metafrontier Efficiency Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 46(3), pages 375-388, October.
    17. Cheng, Zhonghua & Wang, Lan, 2023. "Can new urbanization improve urban total-factor energy efficiency in China?," Energy, Elsevier, vol. 266(C).
    18. Wei, Yigang & Li, Yan & Wu, Meiyu & Li, Yingbo, 2019. "The decomposition of total-factor CO2 emission efficiency of 97 contracting countries in Paris Agreement," Energy Economics, Elsevier, vol. 78(C), pages 365-378.
    19. Zhang, Ning & Choi, Yongrok, 2013. "A comparative study of dynamic changes in CO2 emission performance of fossil fuel power plants in China and Korea," Energy Policy, Elsevier, vol. 62(C), pages 324-332.
    20. Du, Zhili & Wang, Yao, 2022. "Does energy-saving and emission reduction policy affects carbon reduction performance? A quasi-experimental evidence in China," Applied Energy, Elsevier, vol. 324(C).

    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:energy:v:263:y:2023:i:pa:s0360544222023994. 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.journals.elsevier.com/energy .

    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.