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The Determinants and their Time-Varying Spillovers on Liquefied Natural Gas Import Prices in China Based on TVP-FAVAR Model

  • Ying Huang (School of Economic and Management, Wuchang Shouyi University) ;
  • Yusheng Jiao (School of Economic and Management, Wuchang Shouyi University)
  • Received : 2023.03.23
  • Accepted : 2023.10.09
  • Published : 2024.02.29

Abstract

China is playing more predominant role in the liquefied natural gas (LNG) market worldwide and LNG import price is subject to various factors both at home and abroad. Nevertheless, previous studies rarely heed a multiple of factors. A time-varying parameter factor augmented vector auto-regression (TVP-FAVAR) model is adopted to discover the determinants of China's LNG import price and their dynamic impacts from January 2012 to December 2021. According to the findings, market fundamentals have a greater impact on the import price of natural gas in China than overall economic demand, financial considerations, and world oil prices. The primary determinants include domestic gas consumption, consumer confidence and other demand-side information. Then, there are diverse and time-varying spillover effects of the four common determinants on the volatility of China's LNG import price at different intervals and time nodes. The price volatility is more sensitive and long-lasting to domestic natural gas pricing reform than other negative shocks such as the Sino-US trade war and the COVID-19 pandemic. The results in this study further proves the importance of domestic natural gas market liberalization. China ought to do more to support the further marketization of natural gas prices while working harder to guarantee natural gas supplies.

Keywords

References

  1. X. Wang, J. Wang, W. Wang, and S. Zhang, "International and Chinese energy markets: dynamic spillover effects," Energy, vol. 282, article no. 128724, 2023. https://doi.org/10.1016/j.energy.2023.128724
  2. M. Akhtaruzzaman, S. Boubaker, M. Chiah, and A. Zhong, "COVID-19 and oil price risk exposure," Finance Research Letters, vol. 42, article no. 101882, 2021. https://doi.org/10.1016/j.frl.2020.101882
  3. H. Li and F. Qiao, "Research on the relationship between international crude oil price fluctuation and China's LNG import prices," Prices Monthly, vol. 2021, no. 7, pp. 18-25, 2021. https://doi.org/10.14076/j.issn.1006-2025.2021.07.03
  4. J. B. Geng, Q. Ji, and Y. Fan, "The relationship between regional natural gas markets and crude oil markets from a multi-scale nonlinear Granger causality perspective," Energy Economics, vol. 67, pp. 98-110, 2017. https://doi.org/10.1016/j.eneco.2017.08.006
  5. D. Zhang, M. Shi, and X. Shi, "Oil indexation, market fundamentals, and natural gas prices: an investigation of the Asian premium in natural gas trade," Energy Economics, vol. 69, pp. 33-41, 2018. https://doi.org/10.1016/j.eneco.2017.11.001
  6. S. P. A. Brown and M. K. Yttcel, "What drives natural gas prices?," The Energy Journal, vol. 29, no. 2, pp. 45-60, 2008. https://doi.org/10.5547/ISSN0195-6574-EJ-Vol29-No2-3
  7. J. B. Geng, Q. Ji, and Y. Fan, "The behaviour mechanism analysis of regional natural gas prices: a multi-scale perspective," Energy, vol. 101, pp. 266-277, 2016. https://doi.org/10.1016/j.energy.2016.02.045
  8. Y. Shen, X. Sun, Q. Ji, and D. Zhang, "Climate events matter in the global natural gas market," Energy Economics, vol. 125, article no. 106887, 2023. https://doi.org/10.1016/j.eneco.2023.106887
  9. T. Wang, D. Zhang, Q. Ji, and X. Shi, "Market reforms and determinants of import natural gas prices in China," Energy, vol. 196, article no. 117105, 2020. https://doi.org/10.1016/j.energy.2020.117105
  10. T. Wang, W. Qu, D. Zhang, Q. Ji, and F. Wu, "Time-varying determinants of China's liquefied natural gas import price: a dynamic model averaging approach," Energy, vol. 259, article no. 125013, 2022. https://doi.org/10.1016/j.energy.2022.125013
  11. Y. J. Zhang, J. Chevallier, and K. Guesmi, ""De-financialization" of commodities? Evidence from stock, crude oil and natural gas markets," Energy Economics, vol. 68, pp. 228-239, 2017. https://doi.org/10.1016/j.eneco.2017.09.024
  12. T. Wang, D. Zhang, and D. C. Broadstock, "Financialization, fundamentals, and the time-varying determinants of US natural gas prices," Energy Economics, vol. 80, pp. 707-719, 2019. https://doi.org/10.1016/j.eneco.2019.01.026
  13. Y. Li, J. Chevallier, Y. Wei, and J. Li, "Identifying price bubbles in the US, European and Asian natural gas market: evidence from a GSADF test approach," Energy Economics, vol. 87, article no. 104740, 2020. https://doi.org/10.1016/j.eneco.2020.104740
  14. D. Ferrari, F. Ravazzolo, and J. Vespignani, "Forecasting energy commodity prices: a large global dataset sparse approach," Energy Economics, vol. 98, article no. 105268, 2021. https://doi.org/10.1016/j.eneco.2021.105268
  15. F. Li, X. Li, H. Zheng, F. Yang, and R. Dang, "How alternative energy competition shocks natural gas development in China: a novel time series analysis approach," Resources Policy, vol. 74, article no. 102409, 2021. https://doi.org/10.1016/j.eneco.2021.105268
  16. X. Shi and Y. Shen, "Macroeconomic uncertainty and natural gas prices: revisiting the Asian Premium," Energy Economics, vol. 94, article no. 105081, 2021. https://doi.org/10.1016/j.eneco.2020.105081
  17. G. Choi and E. Heo, "Estimating the price premium of LNG in Korea and Japan: the price formula approach," Energy Policy, vol. 109, pp. 676-684, 2017. https://doi.org/10.1016/j.enpol.2017.07.033
  18. C. W. Su, M. Qin, H. L. Chang, and A. M. Taran, "Which risks drive European natural gas bubbles? Novel evidence from geopolitics and climate," Resources Policy, vol. 81, article no. 103381, 2023. https://doi.org/10.1016/j.resourpol.2023.103381
  19. BP, "BP statistical review of world energy 2022: natural gas," 2022 [Online]. Available: https://www.bp.com/content/dam/bp/business-sites/en/global/corporate/pdfs/energy-economics/statistical-review/bp-stats-review-2022-full-report.pdf.
  20. D. Korobilis, "Assessing the transmission of monetary policy using time-varying parameter dynamic factor models," Oxford Bulletin of Economics and Statistics, vol. 75, no. 2, pp. 157-179, 2013. https://doi.org/10.1111/j.1468-0084.2011.00687.x
  21. K. Yang, Y. Guo, and F. Tian, "Cross-market contagion of global systemic financial risk under the impact of economic policy uncertainty: research based on TVP-FAVAR and TVP-VAR models," Statistical Research, vol. 40, no. 7, pp. 70-84, 2023. https://doi.org/10.19343/j.cnki.11-1302/c.2023.07.006
  22. J. Chai, X. Zhang, H. Shi, and Y. Wang, "Dynamic characteristics and transmission mechanism of China's natural gas security situation," Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice, vol. 42, no. 3, pp. 701-712, 2022. https://doi.org/10.12011/SETP2020-3065
  23. L. Kilian, "Not all oil price shocks are alike: disentangling demand and supply shocks in the crude oil market," American Economic Review, vol. 99, no. 3, pp. 1053-1069, 2009. https://doi.org/10.1257/aer.99.3.1053
  24. B. S. Bernanke, J. Boivin, and P. Eliasz, "Measuring the effects of monetary policy: a factor-augmented vector autoregressive (FAVAR) approach," The Quarterly Journal of Economics, vol. 120, no. 1, pp. 387-422, 2005. https://doi.org/10.1162/0033553053327452
  25. G. E. Primiceri, "varying structural vector autoregressions and monetary policy," The Review of Economic Studies, vol. 72, no. 3, pp. 821-852, 2005. https://doi.org/10.1111/j.1467-937X.2005.00353.x
  26. J. Nakajima, "Time-varying parameter VAR model with stochastic volatility: an overview of methodology and empirical applications," Monetary and Economic Studies, vol. 29, pp. 107-142, 2011.
  27. Y. Feng, D. Xu, P. Failler, and T. Li, "Research on the time-varying impact of economic policy uncertainty on crude oil price fluctuation," Sustainability, vol. 12, no. 16, article no. 6523, 2020. https://doi.org/10.3390/su12166523
  28. T. Wang, F. Wu, D. Zhang, and Q. Ji, "Energy market reforms in China and the time-varying connectedness of domestic and international markets," Energy Economics, vol. 117, article no. 106495, 2023. https://doi.org/10.1016/j.eneco.2022.106495
  29. National Development and Reform Commission, "14th five-year plan for renewable energy development," 2022 [Online]. Available: https://www.ndrc.gov.cn/xwdt/tzgg/202206/P020220602315650388122.pdf.
  30. Y. Chen, C. Wang, and Z. Zhu, "Toward the integration of European gas futures market under COVID-19 shock: a quantile connectedness approach," Energy Economics, vol. 114, article no. 106288, 2022. https://doi.org/10.1016/j.eneco.2022.106288