Xiang Ji

Dr. Xiang Ji


Research Focus & Metrics

Academic Career Length

2Years (2025-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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25 March 2025 in Water
Verified
Journal Article
Open access
PDF file
JWJiachun Wen
Jiachun Wen
XJXiang Ji
Xiang Ji
XWXue WU
Xue WU
This paper uses a difference-in-differences approach to investigate how China’s water resources tax reform influences corporate Environmental, Social and Governance (ESG) performance. Drawing on a panel dataset of A-share listed companies from 2013 to 2023, we find that the reform significantly improves firms’ ESG ratings, a result that holds under multiple robustness checks. Mechanism tests reveal that this positive effect operates through enhanced green technological innovation, increased environmental investment, and heightened pressure from capital markets, with media attention further reinforcing these pathways. Heterogeneity analyses indicate that state-owned enterprises and larger firms experience particularly strong ESG improvements following the tax reform. These findings provide empirical evidence of the effectiveness of government-led environmental governance policies and offer practical insights for promoting green transformation in the corporate sector.

15 December 2025 in Economic Change and Restructuring
Verified
Journal Article
Closed access
PDF file
JWJiachun Wen
Jiachun Wen
XWXue Wu
Xue Wu
XJXiang Ji
Xiang Ji

26 July 2026 in Forests
Verified
Journal Article
Open access
PDF file
YLYuebin Lin
Yuebin Lin
KYKE Yan
KE Yan
XJXiang Ji
Xiang Ji
SCShulin Chen
Shulin Chen
SCSHUANGJIAO CAI
SHUANGJIAO CAI
Urban forest walkways provide accessible forest recreation opportunities within cities, but little is known about how different walkway landscape environments are associated with older adults’ perceived psychological restoration. This study examined three representative urban forest walkways in Fuzhou, China, by integrating image-based landscape classification with photo-elicitation questionnaires. A total of 1188 field photographs were collected, of which 963 valid images were used for landscape analysis. A SegNet-based semantic segmentation model was used to extract major landscape elements, and the images were subsequently classified into four landscape environment types. Questionnaire data were obtained from 415 older walkway users, generating 4980 respondent–image evaluation records. The SegNet model achieved a mean IoU of 79.4%. The high-naturalness canopy-immersive type received the highest scores for tranquillity, refuge, naturalness, landscape preference, and perceived psychological restoration, whereas the semi-open viewing-platform type showed the highest spaciousness and prospect scores. Landscape preference was positively associated with perceived psychological restoration in the mixed-effects model and partially mediated the associations between selected perceived landscape attributes and perceived psychological restoration. These findings suggest that age-friendly urban forest walkway design should maintain canopy immersion, provide semi-open viewing nodes, improve resting and interaction spaces, and refine forest-edge urban-interface sections.