Jin Yu
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Jin Yu has a total of 4 co-authors. Here are the top co-authors by number of shared publications:
- Ching-Hui (Joan) Su
Department of Apparel, Events, and Hospitality Management, Iowa State University
1 shared publication - Dahui Zhou
College of Economy and Management, Tianjin University of Technology and Education, Tianjin 300222, China
1 shared publication - Hongying Yang
School of Business and Tourism Management, Yunnan University, Kunming 650091, China
1 shared publication - Ming-Hsiang Chen
Washington State University
1 shared publication
Latest Publications
- Open Access
- 23 April 2020
- Published by MDPI AG in Sustainability
- Vol. 12 (8) , 3434
Can China’s Aging Population Sustain Its Entrepreneurship? Evidence of Nonlinear Effects
This article examines the effects of China’s aging population (in terms of the old-age dependency rate (OADR)) on entrepreneurship (in terms of dimensions of innovation (IE) and self-employment (BE)) using data from 30 provinces from 2003 to 2017. Contrary to a widespread pessimistic interpretation that describes an aging population as merely a burden on entrepreneurship, this paper illustrates some positive effects of China’s aging population on entrepreneurship in terms of IE and BE. Moreover, we introduce and test the nonlinear relationship between OADR and IE/BE. Our simple panel regression model can be utilized not only to understand the inverted U-shaped effects of an aging population on entrepreneurship, by using the ordinary least squares (OLS) method and fixed-effects (FE) in our empirical studies and the system generalized method of moments (SYSGMM) in the robustness check, but also to provide managerial implications by pointing out the “optimal OADR” and the comparative regional aging situation.
- 23 April 2020
- Published by MDPI AG in Sustainability
- Vol. 12 (8) , 3434
Open AccessCan China’s Aging Population Sustain Its Entrepreneurship? Evidence of Nonlinear Effects
This article examines the effects of China’s aging population (in terms of the old-age dependency rate (OADR)) on entrepreneurship (in terms of dimensions of innovation (IE) and self-employment (BE)) using data from 30 provinces from 2003 to 2017. Contrary to a widespread pessimistic interpretation that describes an aging population as merely a burden on entrepreneurship, this paper illustrates some positive effects of China’s aging population on entrepreneurship in terms of IE and BE. Moreover, we introduce and test the nonlinear relationship between OADR and IE/BE. Our simple panel regression model can be utilized not only to understand the inverted U-shaped effects of an aging population on entrepreneurship, by using the ordinary least squares (OLS) method and fixed-effects (FE) in our empirical studies and the system generalized method of moments (SYSGMM) in the robustness check, but also to provide managerial implications by pointing out the “optimal OADR” and the comparative regional aging situation.