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Modelling inflation in China: a regional perspective

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  • Mehrotra, Aaron
  • Peltonen, Tuomas
  • Santos Rivera, Alvaro

Abstract

We model provincial inflation in China during the reform period. In particular, we are interested in the ability of the hybrid New Keynesian Phillips Curve (NKPC) to capture the inflation process at the provincial level. The study highlights differences in inflation formation and shows that the NKPC provides a reasonable description of the inflation process only for the coastal provinces. A probit analysis suggests that the forward-looking inflation component and the output gap are important inflation drivers in provinces that have advanced most in marketisation of the economy and have most likely experienced excess demand pressures. These results have implications for the relative effectiveness of monetary policy across the Chinese provinces.

Suggested Citation

  • Mehrotra, Aaron & Peltonen, Tuomas & Santos Rivera, Alvaro, 2007. "Modelling inflation in China: a regional perspective," BOFIT Discussion Papers 19/2007, Bank of Finland Institute for Emerging Economies (BOFIT).
  • Handle: RePEc:zbw:bofitp:bdp2007_019
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    Citations

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    Cited by:

    1. Marlene Amstad & Ye Huan & Guonan Ma, 2014. "Developing an underlying inflation gauge for China," BIS Working Papers 465, Bank for International Settlements.
    2. El-Shagi, Makram & Tochkov, Kiril, 2024. "Regional heterogeneity and the provincial Phillips curve in China," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 1036-1044.
    3. repec:zbw:bofitp:2018_011 is not listed on IDEAS
    4. Behera, Harendra & Wahi, Garima & Kapur, Muneesh, 2018. "Phillips curve relationship in an emerging economy: Evidence from India," Economic Analysis and Policy, Elsevier, vol. 59(C), pages 116-126.
    5. Chen, Changsheng & Girardin, Eric & Mehrotra, Aaron, 2017. "Global slack and open economy Phillips curves – A province-level view from China," China Economic Review, Elsevier, vol. 42(C), pages 74-87.
    6. Zhang, Chengsi & Murasawa, Yasutomo, 2012. "Multivariate model-based gap measures and a new Phillips curve for China," China Economic Review, Elsevier, vol. 23(1), pages 60-70.
    7. Amstad, Marlene & Ye, Huan & Ma, Guonan, 2018. "Developing an underlying inflation gauge for China," BOFIT Discussion Papers 11/2018, Bank of Finland Institute for Emerging Economies (BOFIT).
    8. Nagayasu, Jun, 2009. "Regional Inflation in China," MPRA Paper 24722, University Library of Munich, Germany.
    9. Narayan, Paresh Kumar & Narayan, Seema & Smyth, Russell, 2009. "Understanding the inflation-output nexus for China," China Economic Review, Elsevier, vol. 20(1), pages 82-90, March.
    10. Harry Aginta, 2022. "Spatiotemporal analysis of regional inflation in an emerging country: The case of Indonesia," Regional Science Policy & Practice, Wiley Blackwell, vol. 14(3), pages 667-688, June.
    11. Adhitya Wardhono & M. Abd. Nasir & Ciplis Gema Qori’ah & Yulia Indrawati, 2021. "Movement of Inflation and New Keynesian Phillips Curve in ASEAN," Economies, MDPI, vol. 9(1), pages 1-9, March.
    12. Chiang, Shu-Hen & Lee, Chien-Chiang & Liao, Ying, 2021. "Exploring the sources of inflation dynamics: New evidence from China," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 313-332.
    13. Jarko Fidrmuc & Katarína Danišková, 2020. "Meta-Analysis of the New Keynesian Phillips Curve in Developed and Emerging Economies," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 56(1), pages 10-31, January.
    14. Shu-hen Chiang, 2016. "Rising residential rents in Chinese mega cities: The role of monetary policy," Urban Studies, Urban Studies Journal Limited, vol. 53(16), pages 3493-3509, December.

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    More about this item

    Keywords

    China; inflation; regional; New Keynesian Philips Curve; GMM;
    All these keywords.

    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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