Xiao-Lin Li

Dr. Xiao-Lin Li


Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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20 May 2016 in Review of Development Economics
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Journal Article
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CSChi‐Wei Su
Chi‐Wei Su
JFJiao‐Jiao Fan
Jiao‐Jiao Fan
HCHsu‐Ling Chang
Hsu‐Ling Chang
Xiao-Lin LiXiao-Lin Li
Xiao-Lin Li

2 April 2020 in Sustainability
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Journal Article
Open access
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CJChun Jiang
Chun Jiang
YWYi-Fan Wu
Yi-Fan Wu
Xiao-Lin LiXiao-Lin Li
Xiao-Lin Li
Xin LiXin Li
Xin Li
This paper aims to examine whether there is inherent dynamic connectedness among coal market prices, new energy stock prices and carbon emission trading (CET) prices in China under time- and frequency-varying perspectives. For this purpose, we apply a novel wavelet method proposed by Aguiar-Conraria et al. (2018). Specifically, utilizing the single wavelet power spectrum, the multiple wavelet coherency, the partial wavelet coherency, also combined with the partial phase difference and the partial wavelet gains, this paper discovers the time-frequency interaction between three markets. The empirical results show that the connectedness between the CET market price and the coal price is frequency-varying and mainly occur in the lower and higher frequency bands, while the connectedness between the CET market price and the new energy stock price mainly happen in the middle and lower frequency bands. In the high-frequency domain, the CET market price is mainly affected by the coal price, while the CET market price is dominated by the new energy stock price in the middle frequency. These uncovered frequency-varying characteristics among these markets in this study could provide several implications. Main participants in these markets, such as polluting industries, governments and financial actors, should pay close attention to the connectedness under different frequencies, in order to realize their goal of the production, the policymaking, and the investment.

1 March 2021 in Economic Analysis and Policy
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Journal Article
Closed access
Xiao-Lin LiXiao-Lin Li
Xiao-Lin Li
JYJing Yan
Jing Yan
XWXiaohui Wei
Xiaohui Wei

11 April 2016 in Quality & Quantity
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CSChi Wei Su
Chi Wei Su
HYHui Yu
Hui Yu
HCHsu-Ling Chang
Hsu-Ling Chang
Xiao-Lin LiXiao-Lin Li
Xiao-Lin Li

11 November 2019 in Empirical Economics
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DSDeng-Kui Si
Deng-Kui Si
Xiao-Lin LiXiao-Lin Li
Xiao-Lin Li
XGXinyu Ge
Xinyu Ge

14 July 2017 in The Journal of International Trade & Economic Development
Verified
Journal Article
Closed access
DSDeng-Kui Si
Deng-Kui Si
Xiao-Lin LiXiao-Lin Li
Xiao-Lin Li
This paper applies recently developed Fourier quantile unit root test to investigate time-series property of inflation in seven Eastern European countries. This method combines the quantile unit root test with smooth unknown multiple breaks through Fourier function, and has good size and power when the data follows heavy tailed distribution. Our results show that the inflation rates are stationary within each quantile for Czech Republic, Bulgaria and Lithuania, while the other four countries contain a unit root within some quantiles. We also find the speed of inflation adjustment towards to its long-run equilibrium for each country is asymmetric. Our results have important policy implications for monetary authorities in these Eastern European countries.