IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v244y2022ipas0360544221028474.html
   My bibliography  Save this article

An empirical analysis on regional natural gas market of China from a spatial pattern and social network perspective

Author

Listed:
  • Li, Fengyun
  • Li, Xingmei

Abstract

Coordinating the relationship between the national pipeline network company and the provincial natural gas company is the most crucial contradiction in China's natural gas market reform. This paper innovatively incorporates the comprehensive evaluation method, modified spatial gravity model, and social network analysis method to investigate the regional natural gas market to solve this dilemma. The result of the case study is as follows. (1) The development of the natural gas market in China's provinces is uneven, among which resourceful provinces and eastern provinces are relatively strong. (2) The densely connected areas of the natural gas market are mainly concentrated in the Beijing-Tianjin-Hebei region, the Yangtze-River-Delta region, and the Sichuan-Chongqing region. (3) Our work can clarify the node attributes and different efficacy of provinces. The core provinces all belong to the net spillover block, and they are located at key positions and roles in the obtained spatial correlation network. (4) Market participants, commodity diversification and openness are the prominent factors influencing the proposed spatial correlation network. This paper's major achievement is the reasonable division of five regional natural gas markets. The conclusion can help policymakers clarify the overall natural gas market spatial pattern and provinces' market potential and functions.

Suggested Citation

  • Li, Fengyun & Li, Xingmei, 2022. "An empirical analysis on regional natural gas market of China from a spatial pattern and social network perspective," Energy, Elsevier, vol. 244(PA).
    • Handle: RePEc:eee:energy:v:244:y:2022:i:pa:s0360544221028474
    DOI: 10.1016/j.energy.2021.122598
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544221028474
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2021.122598?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. Chen, Siyuan & Zhang, Qi & Wang, Ge & Zhu, Lijing & Li, Yan, 2018. "Investment strategy for underground gas storage facilities based on real option model considering gas market reform in China," Energy Economics, Elsevier, vol. 70(C), pages 132-142.
    2. Gejirifu De & Wangfeng Gao, 2018. "Forecasting China’s Natural Gas Consumption Based on AdaBoost-Particle Swarm Optimization-Extreme Learning Machine Integrated Learning Method," Energies, MDPI, vol. 11(11), pages 1-20, October.
    3. Sen, Doruk & Günay, M. Erdem & Tunç, K.M. Murat, 2019. "Forecasting annual natural gas consumption using socio-economic indicators for making future policies," Energy, Elsevier, vol. 173(C), pages 1106-1118.
    4. Lin, Boqiang & Kuang, Yunming, 2020. "Natural gas subsidies in the industrial sector in China: National and regional perspectives," Applied Energy, Elsevier, vol. 260(C).
    5. Jean-Michel Glachant, 2011. "A Vision for the EU Gas Target Model: the MECO-S Model," RSCAS Working Papers 2011/38, European University Institute.
    6. Chai, Jian & Wei, Zhaohao & Hu, Yi & Su, Siping & Zhang, Zhe George, 2019. "Is China's natural gas market globally connected?," Energy Policy, Elsevier, vol. 132(C), pages 940-949.
    7. Wang, Tiantian & Zhang, Dayong & Ji, Qiang & Shi, Xunpeng, 2020. "Market reforms and determinants of import natural gas prices in China," Energy, Elsevier, vol. 196(C).
    8. Zhong, Zhangqi & Jiang, Lei & Zhou, Peng, 2018. "Transnational transfer of carbon emissions embodied in trade: Characteristics and determinants from a spatial perspective," Energy, Elsevier, vol. 147(C), pages 858-875.
    9. Zhou, Zhongbing & Qin, Quande, 2020. "Decoding China's natural gas development: A critical discourse analysis of the five-year plans," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    10. Ding, Song, 2018. "A novel self-adapting intelligent grey model for forecasting China's natural-gas demand," Energy, Elsevier, vol. 162(C), pages 393-407.
    11. Gong, Chengzhu & Wu, Desheng & Gong, Nianjiao & Qi, Rui, 2020. "Multi-agent mixed complementary simulation of natural gas upstream market liberalization in China," Energy, Elsevier, vol. 200(C).
    12. Liu, Chang & Lin, Boqiang, 2018. "Analysis of the changes in the scale of natural gas subsidy in China and its decomposition factors," Energy Economics, Elsevier, vol. 70(C), pages 37-44.
    13. Miriello, Caterina & Polo, Michele, 2015. "The development of gas hubs in Europe," Energy Policy, Elsevier, vol. 84(C), pages 177-190.
    14. Das, Anupam & McFarlane, Adian A. & Chowdhury, Murshed, 2013. "The dynamics of natural gas consumption and GDP in Bangladesh," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 269-274.
    15. Vera Jotanovic & Rita Laura D’Ecclesia, 2021. "The European gas market: new evidences," Annals of Operations Research, Springer, vol. 299(1), pages 963-999, April.
    16. Lovrić, Marko & Da Re, Riccardo & Vidale, Enrico & Pettenella, Davide & Mavsar, Robert, 2018. "Social network analysis as a tool for the analysis of international trade of wood and non-wood forest products," Forest Policy and Economics, Elsevier, vol. 86(C), pages 45-66.
    17. Dong, Xiucheng & Pi, Guanglin & Ma, Zhengwei & Dong, Cong, 2017. "The reform of the natural gas industry in the PR of China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 582-593.
    18. Paltsev, Sergey & Zhang, Danwei, 2015. "Natural gas pricing reform in China: Getting closer to a market system?," Energy Policy, Elsevier, vol. 86(C), pages 43-56.
    19. Chai, Jian & Zhang, Xiaokong & Lu, Quanying & Zhang, Xuejun & Wang, Yabo, 2021. "Research on imbalance between supply and demand in China's natural gas market under the double-track price system," Energy Policy, Elsevier, vol. 155(C).
    20. Schultz, Emma & Swieringa, John, 2013. "Price discovery in European natural gas markets," Energy Policy, Elsevier, vol. 61(C), pages 628-634.
    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. Liu, Xinglei & Liu, Jun & Ren, Kezheng & Liu, Xiaoming & Liu, Jiacheng, 2022. "An integrated fuzzy multi-energy transaction evaluation approach for energy internet markets considering judgement credibility and variable rough precision," Energy, Elsevier, vol. 261(PB).
    2. Yan, Zhaojin & Yang, Guanghao & He, Rong & Yang, Hui & Ci, Hui, 2023. "“Ship-port-country” multi-dimensional research on the fine analysis of China's LNG trade," Journal of Transport Geography, Elsevier, vol. 110(C).
    3. Huiping Wang & Peiling Liu, 2023. "Spatial Correlation Network of Energy Consumption and Its Influencing Factors in the Yangtze River Delta Urban Agglomeration," Sustainability, MDPI, vol. 15(4), pages 1-20, February.
    4. Wang, Huiping & Liu, Peiling, 2023. "Spatial correlation network of renewable energy consumption and its influencing factors: Evidence from 31 Chinese provinces," Renewable Energy, Elsevier, vol. 217(C).
    5. Jia, Weidong & Gong, Chengzhu & Pan, Kai & Yu, Shiwei, 2023. "Potential changes of regional natural gas market in China amidst liberalization: A mixed complementarity equilibrium simulation in 2030," Energy, Elsevier, vol. 284(C).
    6. Xin Guan & Xiangyi Lu & Yang Wen, 2022. "Is China’s Natural Gas Consumption Converging? Empirical Research Based on Spatial Econometrics," Energies, MDPI, vol. 15(24), pages 1-13, December.

    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. Gong, Chengzhu & Wu, Desheng & Gong, Nianjiao & Qi, Rui, 2020. "Multi-agent mixed complementary simulation of natural gas upstream market liberalization in China," Energy, Elsevier, vol. 200(C).
    2. Liu, Guixian & Dong, Xiucheng & Jiang, Qingzhe & Dong, Cong & Li, Jiaman, 2018. "Natural gas consumption of urban households in China and corresponding influencing factors," Energy Policy, Elsevier, vol. 122(C), pages 17-26.
    3. Lin, Boqiang & Li, Zhensheng, 2021. "Does natural gas pricing reform establish an effective mechanism in China: A policy evaluation perspective," Applied Energy, Elsevier, vol. 282(PA).
    4. Miao, Xiaoyu & Wang, Qunwei & Dai, Xingyu, 2022. "Is oil-gas price decoupling happening in China? A multi-scale quantile-on-quantile approach," International Review of Economics & Finance, Elsevier, vol. 77(C), pages 450-470.
    5. Jian Chai & Liqiao Wang, 2020. "Analysis and Design of Interruptible Gas Contract in China under Energy Market Reform," Sustainability, MDPI, vol. 12(2), pages 1-15, January.
    6. Qiao, Weibiao & Liu, Wei & Liu, Enbin, 2021. "A combination model based on wavelet transform for predicting the difference between monthly natural gas production and consumption of U.S," Energy, Elsevier, vol. 235(C).
    7. Jia, Weidong & Gong, Chengzhu & Pan, Kai & Yu, Shiwei, 2023. "Potential changes of regional natural gas market in China amidst liberalization: A mixed complementarity equilibrium simulation in 2030," Energy, Elsevier, vol. 284(C).
    8. Ding, Lili & Zhao, Zhongchao & Wang, Lei, 2022. "Probability density forecasts for natural gas demand in China: Do mixed-frequency dynamic factors matter?," Applied Energy, Elsevier, vol. 312(C).
    9. Boute, Anatole & Fang, Mandy Meng, 2022. "China's textbook approach to regulatory reform of the natural gas market," Utilities Policy, Elsevier, vol. 76(C).
    10. Zhang, Yi & Ji, Qiang & Fan, Ying, 2018. "The price and income elasticity of China's natural gas demand: A multi-sectoral perspective," Energy Policy, Elsevier, vol. 113(C), pages 332-341.
    11. Li, Lanlan & Luo, Xuan & Zhou, Kaile & Xu, Tingting, 2018. "Evaluation of increasing block pricing for households' natural gas: A case study of Beijing, China," Energy, Elsevier, vol. 157(C), pages 162-172.
    12. Li, Wei & Lu, Can, 2019. "The multiple effectiveness of state natural gas consumption constraint policies for achieving sustainable development targets in China," Applied Energy, Elsevier, vol. 235(C), pages 685-698.
    13. Zhou, Zhongbing & Qin, Quande, 2020. "Epistemological dominance and ignorance of the comparative advantages of China's shale gas: Evidence from international scientific journals," Energy Policy, Elsevier, vol. 138(C).
    14. Brueckner, Marcus & Hong, Haidi & Vespignani, Joaquin, 2023. "Regulation of petrol and diesel prices and their effects on GDP growth: evidence from China," Working Papers 2023-02, University of Tasmania, Tasmanian School of Business and Economics.
    15. Jiang, Hongdian & Dong, Xiucheng & Jiang, Qingzhe & Dong, Kangyin, 2020. "What drives China's natural gas consumption? Analysis of national and regional estimates," Energy Economics, Elsevier, vol. 87(C).
    16. Zhou, Jun & Zhao, Yunxiang & Fu, Tiantian & Zhou, Xuan & Liang, Guangchuan, 2022. "Dimension optimization for underground natural gas storage pipeline network coupling injection and production conditions," Energy, Elsevier, vol. 256(C).
    17. Lu, Hongfang & Ma, Xin & Azimi, Mohammadamin, 2020. "US natural gas consumption prediction using an improved kernel-based nonlinear extension of the Arps decline model," Energy, Elsevier, vol. 194(C).
    18. Tadahiro Nakajima & Yuki Toyoshima, 2019. "Measurement of Connectedness and Frequency Dynamics in Global Natural Gas Markets," Energies, MDPI, vol. 12(20), pages 1-15, October.
    19. Luo, Guoliang & Liu, Shanshan & Yan, Xiaohui & Guo, Yiwei, 2021. "Institutional constraints to China's low carbon transition: A case study of China's coal-to-gas program," Structural Change and Economic Dynamics, Elsevier, vol. 57(C), pages 121-135.
    20. Wang, Tiantian & Qu, Wan & Zhang, Dayong & Ji, Qiang & Wu, Fei, 2022. "Time-varying determinants of China's liquefied natural gas import price: A dynamic model averaging approach," Energy, Elsevier, vol. 259(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:244:y:2022:i:pa:s0360544221028474. 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.