Nexus between inflation and fiscal deficit: a comparative study of India and China

DOIhttps://doi.org/10.1108/JCEFTS-07-2021-0028
Published date24 March 2022
Date24 March 2022
Pages193-216
Subject MatterEconomics,International economics
AuthorGurleen Kaur
Nexus between ination and scal
decit: a comparative study of
India and China
Gurleen Kaur
Department of Economics, Sri Guru Gobind Singh College of Commerce,
University of Delhi, New Delhi, India
Abstract
Purpose The purpose of this paper is to examine the decitination nexus in thetwo fastest growing
economies, India and China, which happen to be crucial afliates of the global growth generator countries
apart fromtheir association in Brazil, Russia, India,China, and South Africa.
Design/methodology/approach The paper uses the prism of the vector auto regression framework,
for the period 19851986 to 20162017for both India and China. For this purpose, gross scaldecit, money
supply, exchangerate, crude oil prices and output gap are examined as the key elements in the determination
of ination. The econometric framework used chiey comprises of cointegration analysis, vector error
correctionmodel, Granger causality and impulse responsefunctions.
Findings The ndings of this paper support the hypothesisthat scal decits are inationary only in the
Indian context and that the Ricardianequivalence cannot be negated for China at least in the short run. The
results presented in the paper are a little agnostic about whether New Keynesian Phillips Curve (NKPC)
explains the ination dynamics in India, given that both ination inertia and output gap are not robust.
However, for the Chinese economy, NKPC alongwith structural theory is instrumental in describing trends
pertainingto ination during the period of the study.
Practical Implications The paper warrants broaderpolicy framework to aim at addressing structural
bottlenecksto ensure non-inationary growth keeping in mindthe structural views on ination. Furthermore,
the paper fosters greater synthesis between monetary and scal policies, especially considering the global
economicdisruptions the world economy is subject to.
Originality/value Considering there are only a limitednumber of studies on scal decit of China, the
present paper is of paramountsignicance in terms of growing concern over the sustainabilityof the growth
process in China. Additionally, the paper is rst-of-its-kind attempt to account the effectivenessof a healthy
monetaryscalinterface in achieving macroeconomicstability in India and China.
Keywords Exchange rate, Fiscal decit, Ination, Money supply, New Keynesian Phillips curve,
Output gap, Ricardian equivalence
Paper type Research paper
1. Introduction
The episode of global nancial crisis (GFC) and economic disruptions like Covid-19 ag the
issue of containing ination and scal decit as a prerequisite for reviving growth in
emerging marketeconomies (EMEs). Fiscalpolicy which is permanently expansionary is not
only highly unsustainable but also often blamed for high and persistent ination. Much of
JEL classication C32, E31, E51 and H62
The authors would like to thank anonymous referees and the Editor of the journal for their
constructive suggestions and comments. The usual disclaimer applies.
Funding: The authors did not receive any funding to complete this study.
Ination and
scal decit
193
Journalof Chinese Economic and
ForeignTrade Studies
Vol.15 No. 2, 2022
pp. 193-216
© Emerald Publishing Limited
1754-4408
DOI 10.1108/JCEFTS-07-2021-0028
The current issue and full text archive of this journal is available on Emerald Insight at:
https://www.emerald.com/insight/1754-4408.htm
the prevailing literature is full of the unfriendly results of ination irregularities but has
not explored its major sources and decitination nexus in the two fastest growing
economies, India and China, who happen to be crucial afliates of the global growth generator
countries [1] apart from their association in Brazil, Russia, India, China, and South Africa.
Mohanty and Klau (2001) called the steady transition of the inationtostablelevelsaswellas
monetary policy preference for ination targeting as the two prominent developments of the
monetary sectors in EMEs during the 1990s. [2] According to them, information regarding factors
determining ination in these economies serves as a precursor for a better understanding of
monetary policy in EMEs. The empirical literature also articulates the key role of scal dominance
and exchange rate channels in forming ination expectations in such economies. Although India
adopted a exible ination targeting (FIT) regime no sooner than 2016, Peoples Bank of China
(PBC) does not explicitly target ination till date; still the issues surrounding the causes of ination
and whether such pressures stem from thescal side of the policymaking are pertinent considering
the fundamental role that these economies play in driving the growth story of Asia.
1.1 Inationary trends in India and China
Price stability is an important goal of the monetary policy in both India and China. Reserve
Bank of India (RBI) in India has specically movedfrom multiple indicator approach to FIT
regime based on headline consumer price index (CPI) after the recommendations of the
Expert Committee to Revise and Strengthen the Monetary Policy Framework (the Expert
Committee) which submitted its report in 2014 (RBI, 2014). While Chinas central bank, the
PBC does not explicitly target ination; the State Council, Chinas primary administrative
authority, does announceyearly targets for CPI along with the targetof economic growth.
The ination pattern as exhibited by CPI in both the economies is reected in Figure 1.
The trajectory of ination throughout indicates that CPI (India) is above CPI (China)
consistently after 19961997. The period before that saw CPI (China) touching above 15%
level between 1987 and 1989 and 1993 and 1995 majorly because of the liberalisation
Figure 1.
Annual ination
India and China (CPI) –5
0
5
10
15
20
25
30
1985
1986
1987
1988
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
CPI (China) CPI (India)
JCEFTS
15,2
194

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