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Time-varying effect of international iron ore price on China’s inflation: A complete price chain with TVP-SVAR-SV model

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  • Chen, Yufeng
  • Yang, Shuo

Abstract

This paper employs a time-varying parameter structural vector autoregression with stochastic volatility (TVP-SVAR-SV) model to examine the time-varying impacts of three types of international iron ore price shocks (the supply, special demand and global demand shock) on China’s inflation from a complete price chain perspective. The empirical results indicate that: (1) demand shocks rather than supply shock in iron ore price have strong effects on China’s inflation at each stage, revealing the importance of distinguishing the underlying sources of price shifts; (2) the effects of iron ore price shocks on China’s inflation at the import stage are substantial and gradually decrease along the price chain. Meanwhile, the product prices of upstream industries are greatly influenced by price shocks, but downstream companies fail to shift rising costs to consumers due to demand elasticity; (3) the fluctuations of iron ore price are not driven by China’s inflation or supply but rather by demand factors, which is in line with the theory of super cycle. Based on the findings, policies focusing on decreasing preventive demand should be proposed. Moreover, China ought to increase overseas investment and improve utilization rates of scrap and iron ore to ease imported inflationary pressures.

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  • Chen, Yufeng & Yang, Shuo, 2021. "Time-varying effect of international iron ore price on China’s inflation: A complete price chain with TVP-SVAR-SV model," Resources Policy, Elsevier, vol. 73(C).
    • Handle: RePEc:eee:jrpoli:v:73:y:2021:i:c:s0301420721002142
    DOI: 10.1016/j.resourpol.2021.102200
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    as
    1. Christopher A. Sims, 1986. "Are forecasting models usable for policy analysis?," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 10(Win), pages 2-16.
    2. Salisu, Afees A. & Adediran, Idris A., 2019. "Assessing the inflation hedging potential of coal and iron ore in Australia," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
    3. Knop, Stephen J. & Vespignani, Joaquin L., 2014. "The sectorial impact of commodity price shocks in Australia," Economic Modelling, Elsevier, vol. 42(C), pages 257-271.
    4. Abbas, Syed Kanwar & Lan, Hao, 2020. "Commodity price pass-through and inflation regimes," Energy Economics, Elsevier, vol. 92(C).
    5. John T Cuddington & Daniel Jerrett, 2008. "Super Cycles in Real Metals Prices?," IMF Staff Papers, Palgrave Macmillan, vol. 55(4), pages 541-565, December.
    6. Chen, Yufeng & Zheng, Biao & Qu, Fang, 2020. "Modeling the nexus of crude oil, new energy and rare earth in China: An asymmetric VAR-BEKK (DCC)-GARCH approach," Resources Policy, Elsevier, vol. 65(C).
    7. Atsushi Sekine & Takayuki Tsuruga, 2018. "Effects of commodity price shocks on inflation: a cross-country analysis," Oxford Economic Papers, Oxford University Press, vol. 70(4), pages 1108-1135.
    8. Liu, Renren & Chen, Jianzhong & Wen, Fenghua, 2021. "The nonlinear effect of oil price shocks on financial stress: Evidence from China," The North American Journal of Economics and Finance, Elsevier, vol. 55(C).
    9. Cross, Jamie & Nguyen, Bao H., 2017. "The relationship between global oil price shocks and China's output: A time-varying analysis," Energy Economics, Elsevier, vol. 62(C), pages 79-91.
    10. Wen, Fenghua & Zhang, Keli & Gong, Xu, 2021. "The effects of oil price shocks on inflation in the G7 countries," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    11. Mardi Dungey & Renee Fry-McKibbin & Verity Linehan, 2014. "Chinese resource demand and the natural resource supplier," Applied Economics, Taylor & Francis Journals, vol. 46(2), pages 167-178, January.
    12. Su, Chi-Wei & Khan, Khalid & Tao, Ran & Umar, Muhammad, 2020. "A review of resource curse burden on inflation in Venezuela," Energy, Elsevier, vol. 204(C).
    13. Yingying Xu & Chi-Wei Su & Jaime Ortiz, 2021. "Is gold a useful hedge against inflation across multiple time horizons?," Empirical Economics, Springer, vol. 60(3), pages 1175-1189, March.
    14. Gert Peersman & Ine van Robays, 2009. "Oil and the Euro area economy [Labour market implications of EU product market integration]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 24(60), pages 603-651.
    15. Lutz Kilian, 2009. "Not All Oil Price Shocks Are Alike: Disentangling Demand and Supply Shocks in the Crude Oil Market," American Economic Review, American Economic Association, vol. 99(3), pages 1053-1069, June.
    16. Zhong, Meirui & He, Ruifang & Chen, Jinyu & Huang, Jianbai, 2019. "Time-varying effects of international nonferrous metal price shocks on China’s industrial economy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 528(C).
    17. Wilson, Jeffrey D., 2012. "Chinese resource security policies and the restructuring of the Asia-Pacific iron ore market," Resources Policy, Elsevier, vol. 37(3), pages 331-339.
    18. Lafang Wang & Mingyong Lai & Baojun Zhang, 2007. "The transmission effects of iron ore price shocks on China's economy and industries: a CGE approach," International Journal of Trade and Global Markets, Inderscience Enterprises Ltd, vol. 1(1), pages 23-43.
    19. Harald Uhlig, 1997. "Bayesian Vector Autoregressions with Stochastic Volatility," Econometrica, Econometric Society, vol. 65(1), pages 59-74, January.
    20. Indrė Lapinskaitė & Algita Miečinskienė, 2019. "Assessment of the Impact of Hard Commodity Prices Changes on Inflation in European Union Countries," Central European Business Review, Prague University of Economics and Business, vol. 2019(5), pages 18-35.
    21. Nakajima, Jouchi & Kasuya, Munehisa & Watanabe, Toshiaki, 2011. "Bayesian analysis of time-varying parameter vector autoregressive model for the Japanese economy and monetary policy," Journal of the Japanese and International Economies, Elsevier, vol. 25(3), pages 225-245, September.
    22. Syed Aun R. Rizvi & Sahminan Sahminan, 2020. "Commodity Price And Inflation Dynamics: Evidence From Briics," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 23(4), pages 485-500, December.
    23. Ahn JaeBin & Park Chang-Gui & Park Chanho, 2017. "Pass-through of imported input prices to domestic producer prices: evidence from sector-level data," The B.E. Journal of Macroeconomics, De Gruyter, vol. 17(2), pages 1-14, June.
    24. Stock, James H & Watson, Mark W, 1996. "Evidence on Structural Instability in Macroeconomic Time Series Relations," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(1), pages 11-30, January.
    25. Chi-Wei Su & Kai-Hua Wang & Qi Shao & Ran Tao, 2019. "Are there bubbles in the shipping freight market?," Maritime Policy & Management, Taylor & Francis Journals, vol. 46(7), pages 818-830, October.
    26. Giorgio E. Primiceri, 2005. "Time Varying Structural Vector Autoregressions and Monetary Policy," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(3), pages 821-852.
    27. Chen, Jinyu & Zhu, Xuehong & Li, Hailing, 2020. "The pass-through effects of oil price shocks on China's inflation: A time-varying analysis," Energy Economics, Elsevier, vol. 86(C).
    28. Nam T. Hoang & Bao H. Nguyen, 2018. "Oil and Iron Ore Price Shocks: What Are the Different Economic Effects in Australia?," The Economic Record, The Economic Society of Australia, vol. 94(305), pages 186-203, June.
    29. Jacks, David S. & Stuermer, Martin, 2020. "What drives commodity price booms and busts?," Energy Economics, Elsevier, vol. 85(C).
    30. Wen, Fenghua & Zhao, Cong & Hu, Chunyan, 2019. "Time-varying effects of international copper price shocks on China's producer price index," Resources Policy, Elsevier, vol. 62(C), pages 507-514.
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