Chinese trade price and Yuan's valuation

AuthorQi Li,Li Gan,Yichen Gao
Published date01 July 2019
DOIhttp://doi.org/10.1111/twec.12752
Date01 July 2019
ORIGINAL ARTICLE
Chinese trade price and Yuan's valuation
Yichen Gao
1
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Li Gan
2
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Qi Li
2
1
International School of Economics and Management, Capital University of Economics and Business, Beijing, China
2
Department of Economics, Texas A&M University, College Station, Texas, USA
Funding Information
National Natural Science Foundation of China, Grant/Award Number: 71501133, 71601130
KEYWORDS
Chinese yuan, currency valuation, exchange rate, external trade, purchasing power parity
1
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INTRODUCTION
Effective from 1 October 2016, the Chinese yuan or Renminbi (RMB) was finally adopted into the
special drawing rights (SDR) of the International Monetary Fund (IMF), which was a result of the
rapid internationalisation of the Renminbi (Frankel, 2011). The yuan has shown its importance as a n
international anchor currency. People's Bank of China (PBOC), the Chinese central bank, let the yuan
fluctuate freely against a basket of currencies within a trading band since August 2015. Allowing the
currency system to be more flexible is a big step in the reform of Chinese exchange rate policy.
Historically, Chinese exchange rate policy has been modified several times since 1981. The
yuan depreciated from 1.8 per US dollar in 1981 to 8.28 per US dollar in 1994. From 1985 to
1994, China had a dual exchange rate policy (swap exchange rate) to encourage exports and limit
imports. From 1994 to 2005, the official exchange rate stabilised at a single conventional pegged
exchange rate regime. During this period, one Chinese yuan was pegged to 8.28 US dollars. The
yuan was still pegged to the dollar after the 1997 Asian financial crisis, while many southeastern
Asian countries (Indonesia, Malaysia, South Korea, Philippine and Thailand) were forced to switch
to a floating exchange rate policy. In December 2001, China finally acceded to the World Trade
Organization (WTO), thanks to the efforts made by the Chinese government. China agreed to grad-
ually reform its exchange rate policy after joining WTO. On 21 July 2005, China's authorities
increased the flexibility in its currency system by allowing yuan managed float against a basket of
currencies, instead of solely pegged to the US dollar. Due to the 2008 global financial crisis, the
yuan was pegged to the US dollar again to avoid sudden appreciation ($1 = ¥6.83 from July
2008). At the end of 2008, China spent four trillion yuan (about S$586 billion) to boost China
economy and minimise the impact of the crisis. PBOC restarted yuan's managed floating exchange
rate policy on 19 June 2010. On 11 August 2015, China devalued the yuan by about 1.9%. Fig-
ure 1 shows the yuan's nominal exchange rate against the US dollar from January 1989 to Decem-
ber 2015 with each critical date of major economic events indicated by a dashed line. In recent
years, China's authorities gradually increased the flexibility in its exchange rate regime.
Many researchers believed that the Chinese yuan was undervalued during the period when the
yuan was pegged to US dollar. Wagner (2011) believed that China could not continue to keep the
value of yuan artificially low if it hopes to becom e the world's dominant economic power. Frankel
Received: 28 January 2018
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Revised: 21 October 2018
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Accepted: 27 October 2018
DOI: 10.1111/twec.12752
World Econ. 2019;42:22152243. wileyonlinelibrary.com/journal/twec © 2018 John Wiley & Sons Ltd
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(2011) suggested China allow the RMB to appreciate in order to internationalise it. Jo, Chiongbian,
Fremd, Kholiya, and Sethu (2010) suggest that yuan was undervalued after July 2008. The perfor-
mance of the reform of Chinese exchange rate policy and the concern about the yuan's undervaluation
drive us to study how the major economic events would have affected the yuan's nominal exchange
rate against the US dollar from 1989 to 2013. These events include the following: (i) the start of
China's pegged exchange rate regime in January 1994; (ii) China's accession to World Trade
Organization (WTO) in December 2001; (iii) the reform of Chinese exchange rate policy in July
2005; (iv) China's economy stimulus package in November 2008; and (v) restart of Chinese exchange
rate policy reform in June 2010. Due to data limitation, we leave the policy reform in August 2015
and yuan adopted to SDR in October 2016 for future study. By comparing these counterfactual
exchange rates and the yuan's actual nominal exchange rates, we can infer the magnitude of under or
overvaluation caused by each major economic event and the yuan's pegged exchange rate policy.
The traditional methods of estimating average treatment effect, such as the usual differencein
differences (DID), fail since Chinese yuan was a fixed number during most of our targeted period
and should not be used as a dependent variable in any regression analysis. We develop a new esti-
mation strategy by combining a novel panel data method proposed by Hsiao, Ching and Wan
(2012, HCW) and the purchasing power parity (PPP) theory to bypass this problem. HCW (2012)
exploited the dependence of Hong Kong annual real GDP among different countries and con-
structed the counterfactuals using data from countries without the treatment of political and econ-
omic integration of Hong Kong with mainland China.Using HCW's methodology, Bai, Li, and
Ouyang (2014) (BLO) constructed counterfactual home prices in the absence of property taxation
for Shanghai and Chongqing. Using linear projection theory, Li and Bell (2017) showed that
HCW are robust to regression functional form misspecification. Our problem is more difficult than
108642
1994m1
1997m7
2001m12
2005m7
2008m11
2010m6
FIGURE 1 Chinese Yuan's nominal exchange rate against US dollar (January 1989December 2015)
Notes: This graph plots the yuan's nominal exchange rate against the US dollar from January 1989 to
December 2015. The data are from International Financial Statistics (IFS) of International Monetary Fund
(IMF). Dashed lines indicates all related months of major economic events, among which we study five
eventsJanuary 1994 (1994m1), December 2001 (2001m12), July 2005 (2005m7), November 2008
(2008m11) and June 2010 (2010m6).
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GAO ET AL.

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