Journals (in English):
1. Liqun Pan, Pundarik Mukhopadhaya, Jing Li*, 2019. “The Changing Texture of the City-size Wage Differential in Chinese Cities–Effects of Skill and Identity”, China Economic Review, 53, 191-210.
2. Liqun Pan, Pundarik Mukhopadhaya, Jing Li,2016. “City size and Wage Disparity in Segmented Labor Market in China”, Australian Economic Papers, 55, 2, 128-148
Journals (in Chinese):
1. Liqun Pan, Jing Li,Shaohua Zhang, 2021. “Migration Experience, Host City and Marriage Postponement of Migrants”. Economic Dynamics, 2021(08):65-80.
2. Liqun Pan, Kunxian Chen, Jing Li, 2020. “Research on Wage Differentials among Migrants and Their Causal Mechanisms from the Perspective of City Size Wage Premium”. Economic Dynamics, 2020(09):111-132.
3. Jing Li, Liqun Pan, Jiafeng Zong, 2015. “Does positive Assortative Mating Exacerbate Income Inequality?”, Statistical research, 2015(11):65-71.
4. Jing Li, Liqun Pan, JIAFENG ZONG, 2015. “Education homogeneous marriage and family income inequality”, China's industrial economy, 2015(08):35-49.
5. Jing Li, Wenpu Li, 2015. “Theoretical Exploration on the New Normal Economic Development: A Macroeconomics Review”. Social Sciences in Chinese Universities, 2015(02):116-128.
6. Jing Li, Wenpu Li, 2011. “Distortion of Factor Relative Price, Capital Over-Deepening and Decline in the Labor Share”. Academic Monthly, 2011(02):68-77.
7. Pan Xie, Jing Li, 2010. “Tax Burden and Chinese Share of Labor Remuneration: an Investigation from Provincial Perspective”, International Business, 2010(05):39-48.
8. Pan Xie, Jing Li. Labor Remuneration,2010. “Business Cycle and Dual Labor Market”, The Journal of Quantitative & Technical Economics, 2010,27(09):107-117+146.
9. Wenpu Li, Jing Li,Xiang Li, 2010. “The effects of FDI with Different Factors’ Composition on the Host Countries’ Wage: A Comparative Study on Four China Coastal Areas”, Chinese Journal of Population Science, 2010(01):46-56+111-112.
10. Jiafeng Zong, Jing Li, 2006. “An empirical analysis of China's infrastructure development and economic growth”, Statistical Research, 2006(07):18-21.