Shujun Guo
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Shujun Guo has a total of 13 co-authors. Here are the top co-authors by number of shared publications:
- Ang Su
School of Mathematics and Statistics, Qingdao University, Qingdao 266071, China
1 shared publication - Han Zhang
Qingdao University
1 shared publication - Hongwei Gao
Qingdao University
1 shared publication - Jinqiu Guan
School of Science, Jiamusi University, Jiamusi 154007, China
1 shared publication - Lujing Jing
School of Mathematics and Statistics, Qingdao University, Qingdao 266071, China
1 shared publication - Shuxin Yang
Business School, Qingdao University, Qingdao 266071, China
1 shared publication
Latest Publications
- Open Access
- 23 May 2025
- Published by MDPI AG in Sustainability
- Vol. 17 (11) , 4817
Leveraging Environmental Information Disclosure for Sustainable Cities: Quasi-Experimental Evidence from China
Environmental information disclosure, a key tool in modern environmental governance, drives green technology innovation and sustainable development. In this study, we examined how air information disclosure, induced by the issuance of China’s Ambient Air Quality Standards (AAQSs), drives urban sustainable development (USD) through environmental information disclosure. Using a multi-period difference-in-differences model and panel data from 278 cities (2005–2022), we analyzed causal effects, mechanisms, and urban heterogeneity. The findings offer insights for leveraging disclosure to advance urban sustainability. The results showed that AAQSs’ implementation significantly increases USD. Mechanism analysis revealed two mediating pathways: stimulating green technological innovation and enhancing governmental environmental concern. Climate policy uncertainty positively moderates this relationship. Heterogeneity analysis revealed stronger impacts in non-provincial capital cities, non-resource-dependent cities, and regions with weaker sustainable development foundations. The findings provide empirical evidence for leveraging information disclosure to promote green transitions and strengthen environmental concerns.
- 23 May 2025
- Published by MDPI AG in Sustainability
- Vol. 17 (11) , 4817
Open AccessLeveraging Environmental Information Disclosure for Sustainable Cities: Quasi-Experimental Evidence from China
Environmental information disclosure, a key tool in modern environmental governance, drives green technology innovation and sustainable development. In this study, we examined how air information disclosure, induced by the issuance of China’s Ambient Air Quality Standards (AAQSs), drives urban sustainable development (USD) through environmental information disclosure. Using a multi-period difference-in-differences model and panel data from 278 cities (2005–2022), we analyzed causal effects, mechanisms, and urban heterogeneity. The findings offer insights for leveraging disclosure to advance urban sustainability. The results showed that AAQSs’ implementation significantly increases USD. Mechanism analysis revealed two mediating pathways: stimulating green technological innovation and enhancing governmental environmental concern. Climate policy uncertainty positively moderates this relationship. Heterogeneity analysis revealed stronger impacts in non-provincial capital cities, non-resource-dependent cities, and regions with weaker sustainable development foundations. The findings provide empirical evidence for leveraging information disclosure to promote green transitions and strengthen environmental concerns.
- Open Access
- 23 September 2022
- Published by MDPI AG in Mathematics
- Vol. 10 (19) , 3478
Collision Avoidance Problem of Ellipsoid Motion
This paper studies the problem of target control and how a virtual ellipsoid can avoid the static obstacle. During the motion to the target set, the virtual ellipsoid can achieve a motion under collision avoidance by keeping the distance between the ellipsoid and obstacle. We present solutions to this problem in the class of closed-loop (feedback) controls based on Hamilton–Jacobi–Bellman (HJB) equation. Simulation results verify the validity and effectiveness of our algorithm.
- 23 September 2022
- Published by MDPI AG in Mathematics
- Vol. 10 (19) , 3478
Open AccessCollision Avoidance Problem of Ellipsoid Motion
This paper studies the problem of target control and how a virtual ellipsoid can avoid the static obstacle. During the motion to the target set, the virtual ellipsoid can achieve a motion under collision avoidance by keeping the distance between the ellipsoid and obstacle. We present solutions to this problem in the class of closed-loop (feedback) controls based on Hamilton–Jacobi–Bellman (HJB) equation. Simulation results verify the validity and effectiveness of our algorithm.