Yan Shen
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Yan Shen has a total of 17 co-authors. Here are the top co-authors by number of shared publications:
Xiaoyan Lei
3 shared publications- James Patrick Smith
RAND Corporation, Santa Monica, CA, USA
2 shared publications - Xiaoyan Lei
China Center for Economic Research (CCER), National School of Development (NSD), Peking University, China
2 shared publications Albert Park
Department of Economics, Hong Kong University of Science and Technology (HKUST), Clear Water Bay, Hong Kong
1 shared publicationGuangsu Zhou
Nankai University
1 shared publication- Guangsu Zhou
CCER, National School of Development, Peking University, Beijing 100871, China
1 shared publication
Latest Publications
- Open Access
- 27 July 2026
- Published by Springer Nature
- p. 85-110
Chinese Digital Finance Firms Going Global Along the Belt and Road
- 27 July 2026
- Published by Springer Nature
- p. 85-110
Open AccessChinese Digital Finance Firms Going Global Along the Belt and Road
- Open Access
- 1 September 2023
- Published by KEAI Publishing in China Economic Quarterly International
- Vol. 3 (3) , 179-194
Education burden reduction, family education investment, and education equity
- 1 September 2023
- Published by KEAI Publishing in China Economic Quarterly International
- Vol. 3 (3) , 179-194
Open AccessEducation burden reduction, family education investment, and education equity
- 4 May 2022
- Published by Taylor & Francis in China Economic Journal
- Vol. 15 (2) , 121-124
Introduction to the special issue on platform economic in China
The platform economy helps to improve the efficiency of resource allocation and has become a new driving force of China’s economic growth. However, as it has a natural tendency of getting more conc...
- 4 May 2022
- Published by Taylor & Francis in China Economic Journal
- Vol. 15 (2) , 121-124
Introduction to the special issue on platform economic in China
The platform economy helps to improve the efficiency of resource allocation and has become a new driving force of China’s economic growth. However, as it has a natural tendency of getting more conc...
- 27 April 2022
- Published by Taylor & Francis in China Economic Journal
- Vol. 15 (2) , 202-215
Data governance in China’s platform economy
This paper aims to study China’s data governance policy in the platform economy through reviewing its evolvement, its current challenges, and then provide possible policy recommendations. We review China’s data governance policy to show that its focus has switched from security only, to ensure security but at the same time to facility data market so as to encourage the growth of digital economy. We then discuss the governance of data from three perspectives: as a factor of production, algorithm governance, and personal information protection and data security. We recommend the establishment of data governance committee to coordinate data governance issues, including data licensing and algorithm auditing processes.
- 27 April 2022
- Published by Taylor & Francis in China Economic Journal
- Vol. 15 (2) , 202-215
Data governance in China’s platform economy
This paper aims to study China’s data governance policy in the platform economy through reviewing its evolvement, its current challenges, and then provide possible policy recommendations. We review China’s data governance policy to show that its focus has switched from security only, to ensure security but at the same time to facility data market so as to encourage the growth of digital economy. We then discuss the governance of data from three perspectives: as a factor of production, algorithm governance, and personal information protection and data security. We recommend the establishment of data governance committee to coordinate data governance issues, including data licensing and algorithm auditing processes.
- Open Access
- 23 February 2022
- Published by Wiley in Asian Economic Policy Review
- Vol. 17 (2) , 231-232
Comment on “Measuring Digital Financial Inclusion in Emerging Market and Developing Economies: A New Index”
- 23 February 2022
- Published by Wiley in Asian Economic Policy Review
- Vol. 17 (2) , 231-232
Open AccessComment on “Measuring Digital Financial Inclusion in Emerging Market and Developing Economies: A New Index”
- 2 January 2021
- Published by Taylor & Francis in China Economic Journal
- Vol. 14 (1) , 1-3
Introduction to the special issue on digital currency
- 2 January 2021
- Published by Taylor & Francis in China Economic Journal
- Vol. 14 (1) , 1-3
Introduction to the special issue on digital currency
- 1 January 2020
- Published by Wiley in China & World Economy
- Vol. 28 (1) , 1-3
Guest Editors' Words
- Open Access
- 2 September 2018
- Published by Taylor & Francis in China Economic Journal
- Vol. 11 (3) , 225-227
Forty years of Open and Reform: in restrospect and in prospect
(2018). Forty years of Open and Reform: in restrospect and in prospect. China Economic Journal: Vol. 11, Special Issue on Forty Years’ Economic Reform in China, pp. 225-227.
- 2 September 2018
- Published by Taylor & Francis in China Economic Journal
- Vol. 11 (3) , 225-227
Open AccessForty years of Open and Reform: in restrospect and in prospect
(2018). Forty years of Open and Reform: in restrospect and in prospect. China Economic Journal: Vol. 11, Special Issue on Forty Years’ Economic Reform in China, pp. 225-227.
- 20 January 2018
- Published by Springer Nature in Journal of Population Research
- Vol. 35 (1) , 23-40
Fertility, gender preference, the Birth Planning Policy and life satisfaction in China
- 20 January 2018
- Published by Springer Nature in Journal of Population Research
- Vol. 35 (1) , 23-40
Fertility, gender preference, the Birth Planning Policy and life satisfaction in China
- 1 November 2017
- Published by MIT Press in Asian Economic Papers
- Vol. 16 (3) , 287-307
Interest Liberalization and the Estimation of Implicit Interest Rates in China's Banking Sector
China's interest rate liberalization process has yet to be completed. Despite removal of deposit interest rate ceilings on 23 October 2015, controls like window guidance are still imposed to prevent commercial banks from setting interest rates freely. This paper estimates implicit interest rates in China (i.e., the additional yield to official interest rates that banks must pay to attract deposits) using headquarter-level data of 88 commercial banks from BankScope and branch-level data of 317 branches in 90 counties and 14 provinces for the period 2005–13. The econometric methods allow for both heterogeneity and spatial correlation in banks’ behavior to better capture the characteristics of the Chinese banking industry. Three main findings emerge from this study. First, the estimated mean implicit interest rate is between 70 percent and 78 percent of the explicit interest rate—ignoring implicit interest rates results in underestimation of funding costs. Second, a 1 percent increase in deposit interest rates is estimated to decrease implicit interest rates by 0.44 percent, implying that the cost of interest rate liberalization will be smaller than the increase in deposit interest rates. Third, small share-holding banks, city commercial banks and rural commercial banks pay higher implicit interest rates than large state-owned banks. To promote efficient resource allocation, therefore, interest rate liberalization needs to be firmly pursued but its impact on different types of banks needs to be closely monitored to minimize disruptions to the real economy.
- 1 November 2017
- Published by MIT Press in Asian Economic Papers
- Vol. 16 (3) , 287-307
Interest Liberalization and the Estimation of Implicit Interest Rates in China's Banking Sector
China's interest rate liberalization process has yet to be completed. Despite removal of deposit interest rate ceilings on 23 October 2015, controls like window guidance are still imposed to prevent commercial banks from setting interest rates freely. This paper estimates implicit interest rates in China (i.e., the additional yield to official interest rates that banks must pay to attract deposits) using headquarter-level data of 88 commercial banks from BankScope and branch-level data of 317 branches in 90 counties and 14 provinces for the period 2005–13. The econometric methods allow for both heterogeneity and spatial correlation in banks’ behavior to better capture the characteristics of the Chinese banking industry. Three main findings emerge from this study. First, the estimated mean implicit interest rate is between 70 percent and 78 percent of the explicit interest rate—ignoring implicit interest rates results in underestimation of funding costs. Second, a 1 percent increase in deposit interest rates is estimated to decrease implicit interest rates by 0.44 percent, implying that the cost of interest rate liberalization will be smaller than the increase in deposit interest rates. Third, small share-holding banks, city commercial banks and rural commercial banks pay higher implicit interest rates than large state-owned banks. To promote efficient resource allocation, therefore, interest rate liberalization needs to be firmly pursued but its impact on different types of banks needs to be closely monitored to minimize disruptions to the real economy.