Tengfei Jiang

Ms. Tengfei Jiang

orcid

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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14 April 2025 in Sustainability
Verified
Journal Article
Open access
PDF file
JLJiayi Liu
Jiayi Liu
WWWeidong Wang
Weidong Wang
TJTengfei Jiang
Tengfei Jiang
HBHuirong Ben
Huirong Ben
JDJie Dai
Jie Dai
Research on the EU’s Carbon Border Adjustment Mechanism (CBAM) has predominantly examined its implications for climate governance and export trade yet overlooked how enterprises adapt their foreign investment strategies. Using panel data from Chinese listed companies between 2011 and 2022, this study employs the CBAM as a quasi-natural experiment and applies a difference-in-differences (DID) model for analysis. Our findings indicate that the CBAM has a significant positive impact on outward greenfield investments, as robustly validated through a series of rigorous robustness checks. Mechanism analysis reveals two operational channels: trade restructuring effect (reduced export shares) and innovation-driven demand effect (enhanced R&D intensity). Heterogeneity tests further indicate more substantial CBAM responsiveness among eastern coastal firms, non-state-owned enterprises, and those pursuing horizontal production-oriented expansions. This study contributes to the literature on CBAM’s effects and offers practical recommendations for enterprises to mitigate CBAM’s impact via greenfield investments.

4 June 2025 in Sustainability
Verified
Journal Article
Open access
PDF file
TJTengfei Jiang
Tengfei Jiang
JLJiayi Liu
Jiayi Liu
JDJie Dai
Jie Dai
HJHongli Jiang
Hongli Jiang
Climate policy uncertainty (CPU) poses formidable challenges to global sustainable development and corporate strategic planning, while intelligent transformation is emerging as a pivotal enabler of organizational sustainability. Using panel data from Chinese A-share listed companies between 2011 and 2022, this study investigates the impact of climate policy uncertainty on intelligent transformation. The results indicate that CPU significantly promotes corporate intelligent transformation, a conclusion that remains robust under various sensitivity tests. Government innovation subsidies, enterprise absorption capacity, and enterprise human capital positively moderate this facilitating effect. A heterogeneity analysis reveals that the effect of CPU on intelligent transformation is more pronounced among firms in sci–tech finance pilot zones, regions with high digital financial inclusion, and those led by CEOs with banking experience. This paper contributes to the literature on climate policy uncertainty by examining its role in corporate intelligent transformation, offering actionable strategies for firms to mitigate climate risks while providing policy insights for developing economies to leverage smart technologies in addressing CPU.