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Natural gas consumption of urban households in China and corresponding influencing factors

Author

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  • Liu, Guixian
  • Dong, Xiucheng
  • Jiang, Qingzhe
  • Dong, Cong
  • Li, Jiaman

Abstract

Driven by the impact of economic growth, urbanization, and national strategies for low-carbon development, the TNGC of urban households in China is growing rapidly. In this paper, the feasible generalized least square method is used to investigate the consumption of natural gas and the per capita natural gas consumption of urban residents in 30 provinces in China (not including central heating and the natural gas consumption of natural gas vehicles). We study the factors influencing natural gas consumption by urban residents in China and conduct scenario forecasting. The empirical results show that the impact coefficients of PNGs and household income on average natural gas consumption are − 0.895 and 0.222, respectively, while the impact coefficients of the NGP are − 0.603 and 0.346, respectively. The scenario forecast results show that the consumption of natural gas in Chinese households reached 75.469 billion cubic meters in 2025. China's natural gas season peak pressure will continue to increase. In response to this, the following three suggestions are proposed. (1) According to the price elasticity of natural gas, the Chinese government should adjust and improve the mechanism for the formation of PNGs for residents and promote the marketization of natural gas. (2) Accelerate the construction of natural gas reserves and allocate the natural gas supply according to regional differences in natural gas consumption to enhance China's natural gas peak shaving capacity. (3) Improve and optimize natural gas development plans to achieve coordinated development of natural gas supply and demand.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:enepol:v:122:y:2018:i:c:p:17-26
    DOI: 10.1016/j.enpol.2018.07.016
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    References listed on IDEAS

    as
    1. Lu, Weiwei & Su, Meirong & Fath, Brian D. & Zhang, Mingqi & Hao, Yan, 2016. "A systematic method of evaluation of the Chinese natural gas supply security," Applied Energy, Elsevier, vol. 165(C), pages 858-867.
    2. Balitskiy, Sergey & Bilan, Yuriy & Strielkowski, Wadim & Štreimikienė, Dalia, 2016. "Energy efficiency and natural gas consumption in the context of economic development in the European Union," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 156-168.
    3. Khan, Muhammad Arshad, 2015. "Modelling and forecasting the demand for natural gas in Pakistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 1145-1159.
    4. 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.
    5. Isaac, Morna & van Vuuren, Detlef P., 2009. "Modeling global residential sector energy demand for heating and air conditioning in the context of climate change," Energy Policy, Elsevier, vol. 37(2), pages 507-521, February.
    6. Shahbaz, Muhammad & Lean, Hooi Hooi & Farooq, Abdul, 2013. "Natural gas consumption and economic growth in Pakistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 18(C), pages 87-94.
    7. Yu, Feng & Xu, Xiaozhong, 2014. "A short-term load forecasting model of natural gas based on optimized genetic algorithm and improved BP neural network," Applied Energy, Elsevier, vol. 134(C), pages 102-113.
    8. Oliver, Ronan & Duffy, Aidan & Enright, Bernard & O'Connor, Rodger, 2017. "Forecasting peak-day consumption for year-ahead management of natural gas networks," Utilities Policy, Elsevier, vol. 44(C), pages 1-11.
    9. Wadud, Zia & Dey, Himadri S. & Kabir, Md. Ashfanoor & Khan, Shahidul I., 2011. "Modeling and forecasting natural gas demand in Bangladesh," Energy Policy, Elsevier, vol. 39(11), pages 7372-7380.
    10. Wang, Ting & Lin, Boqiang, 2014. "China's natural gas consumption and subsidies—From a sector perspective," Energy Policy, Elsevier, vol. 65(C), pages 541-551.
    11. Xu Tang & Benjamin C. McLellan & Simon Snowden & Baosheng Zhang & Mikael Höök, 2015. "Dilemmas for China: Energy, Economy and Environment," Sustainability, MDPI, vol. 7(5), pages 1-13, May.
    12. Muellbauer, John, 1974. "Household Production Theory, Quality, and the "Hedonic Technique."," American Economic Review, American Economic Association, vol. 64(6), pages 977-994, December.
    13. 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.
    14. Li, Junchen & Dong, Xiucheng & Shangguan, Jianxin & Hook, Mikael, 2011. "Forecasting the growth of China’s natural gas consumption," Energy, Elsevier, vol. 36(3), pages 1380-1385.
    15. Apergis, Nicholas & Loomis, David & Payne, James E., 2010. "Are shocks to natural gas consumption temporary or permanent? Evidence from a panel of U.S. states," Energy Policy, Elsevier, vol. 38(8), pages 4734-4736, August.
    16. Panapakidis, Ioannis P. & Dagoumas, Athanasios S., 2017. "Day-ahead natural gas demand forecasting based on the combination of wavelet transform and ANFIS/genetic algorithm/neural network model," Energy, Elsevier, vol. 118(C), pages 231-245.
    17. Yu, Yihua & Zheng, Xinye & Han, Yi, 2014. "On the demand for natural gas in urban China," Energy Policy, Elsevier, vol. 70(C), pages 57-63.
    18. Rafindadi, Abdulkadir Abdulrashid & Ozturk, Ilhan, 2015. "Natural gas consumption and economic growth nexus: Is the 10th Malaysian plan attainable within the limits of its resource?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 1221-1232.
    19. 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.
    20. Szoplik, Jolanta, 2015. "Forecasting of natural gas consumption with artificial neural networks," Energy, Elsevier, vol. 85(C), pages 208-220.
    21. Massimo Filippini, 1999. "Swiss residential demand for electricity," Applied Economics Letters, Taylor & Francis Journals, vol. 6(8), pages 533-538.
    22. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74(2), pages 132-132.
    23. Shangfeng Han & Baosheng Zhang & Xiaoyang Sun & Song Han & Mikael Höök, 2017. "China’s Energy Transition in the Power and Transport Sectors from a Substitution Perspective," Energies, MDPI, vol. 10(5), pages 1-25, April.
    24. Xiaoyang Sun & Baosheng Zhang & Xu Tang & Benjamin C. McLellan & Mikael Höök, 2016. "Sustainable Energy Transitions in China: Renewable Options and Impacts on the Electricity System," Energies, MDPI, vol. 9(12), pages 1-20, November.
    25. 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.
    26. Izadyar, Nima & Ghadamian, Hossein & Ong, Hwai Chyuan & moghadam, Zeinab & Tong, Chong Wen & Shamshirband, Shahaboddin, 2015. "Appraisal of the support vector machine to forecast residential heating demand for the District Heating System based on the monthly overall natural gas consumption," Energy, Elsevier, vol. 93(P2), pages 1558-1567.
    27. David M. Drukker, 2003. "Testing for serial correlation in linear panel-data models," Stata Journal, StataCorp LP, vol. 3(2), pages 168-177, June.
    28. Wang, Ting & Lin, Boqiang, 2014. "Impacts of unconventional gas development on China׳s natural gas production and import," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 546-554.
    29. 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.
    30. Tang, Xu & Snowden, Simon & McLellan, Benjamin C. & Höök, Mikael, 2015. "Clean coal use in China: Challenges and policy implications," Energy Policy, Elsevier, vol. 87(C), pages 517-523.
    31. Melikoglu, Mehmet, 2013. "Vision 2023: Forecasting Turkey's natural gas demand between 2013 and 2030," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 393-400.
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