SGShujun Guo

Shujun Guo

*This is an algorithmically generated author record based on publicly available information.

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:


Latest Publications

  • Open Access

    Leveraging Environmental Information Disclosure for Sustainable Cities: Quasi-Experimental Evidence from China

    by Han Zhang, Wenfan Qian, Shuxin Yang, Xueting Li, Shujun Guo

    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

    Collision Avoidance Problem of Ellipsoid Motion

    by Shujun Guo, Lujing Jing, Zhaopeng Dai, Yang Yu, Zhiqing Dang, Zhihang You, Ang Su, Hongwei Gao, Jinqiu Guan, Yujun Song

    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.