Zhenbin Chen

Dr. Zhenbin Chen


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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23 September 2025 in Energies
Verified
Journal Article
Open access
PDF file
FXFangming Xie
Fangming Xie
FXFangming Xie
Fangming Xie
祥孔祥俊 孔
祥俊 孔
JJJialei Jiang
Jialei Jiang
ZCZhenbin Chen
Zhenbin Chen
Optimizing the allocation of hydropower resources is essential for aligning high-quality economic growth with China’s carbon neutrality goals. Due to constraints such as market segmentation and government regulation, the resource allocation function of the Chinese market has not been effectively utilized, which leads to hydropower resources being allocated inefficiently. In the digital age, it is valuable to investigate whether digital economic development can rectify the misallocation of hydropower resources and whether the corrective effects exhibit temporal dynamics and spatial heterogeneity. Accordingly, this study employs panel data collected from 30 provincial-level administrative regions in China from 2000 to 2023, employing the production function method combined with a counterfactual analysis framework for quantifying the degree of hydropower resource mismatch. Additionally, panel vector autoregression models and panel threshold regression utilized for discussing spatio-temporal effects of digital economic development on hydropower resource mismatch. Empirical results demonstrate that digital economic development significantly curbs hydropower resource misallocation, albeit with a discernible time lag. When the digital economy experiences a positive impulse shock, its impact on the hydropower resources mismatch emerges in the first lag period, peaks in the second lag period, and then stabilizes. Secondly, the corrective impact of digital economic development on hydropower resources mismatch is contingent upon the level of regional industrialization, which is more pronounced in regions with higher levels of industrialization. In conclusion, this paper offers evidence-based policy recommendations to facilitate the localized implementation of digital economy policies and enhance the efficiency of hydropower resources allocation.

20 August 2026 in Energies
Verified
Journal Article
Open access
PDF file
SLShuai Liu
Shuai Liu
ZCZhenbin Chen
Zhenbin Chen
FXFangming Xie
Fangming Xie
Enhancing the resilience of renewable energy enterprises is crucial for advancing the energy revolution and building a clean, low-carbon, safe, and efficient energy system. Against the background of an accelerating energy transition and rising external uncertainty, renewable energy enterprises face multiple challenges, including technological iteration, policy adjustments, and market fluctuations. Thus, enhancing enterprise resilience through digital transformation has become a key issue for promoting high-quality development in the energy industry. Using a sample of Chinese A-share listed renewable energy companies covering the period 2014–2024, this study empirically examines the impact of digital transformation on the resilience of these enterprises and the underlying mechanisms. The results show that digital transformation can significantly enhance enterprise resilience, a finding that remains robust after a series of robustness tests. Mechanism analysis indicates that digital transformation enhances resilience mainly by alleviating financing constraints, optimizing resource allocation, and improving innovation quality. Heterogeneity analysis further reveals that the resilience-enhancing effect of digital transformation varies across enterprises of different sizes and life-cycle stages. This paper provides empirical evidence that renewable energy enterprises can rely on digital technologies to strengthen their risk resilience and improve their sustainable development.