Wentao Gu

Dr. Wentao Gu

Institute of Quantitative Economics, Zhejiang Gongshang University, Hangzhou 310018, China
orcid

Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

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

Representative Publications

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5 July 2017 in International Entrepreneurship and Management Journal
Verified
Journal Article
Closed access
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WGWentao Gu
Wentao Gu
XQXuzheng Qian
Xuzheng Qian
JLJunpeng Lu
Junpeng Lu

WGWentao Gu
Wentao Gu
HPHairui Pan
Hairui Pan
ZHZimin Hu
Zimin Hu
LZLiu Zhongdi
Liu Zhongdi
Based on the data of 22 different countries from 2005 to 2018, this paper mainly studies the influence of entrepreneurship on sustainability, and further explores the influence of Economic Policy Uncertainty (EPU) and the interaction effect between EPU and entrepreneurship on sustainability. The results show that EPU can promote economic, environmental, and social development, the interaction between EPU and green entrepreneurship is beneficial to social development, and the interaction between EPU and non-green entrepreneurship inhibits social development. For the heterogeneity analysis, 22 countries are grouped by high and low Human Development Index (HDI). The empirical results find that EPU has a better performance in low HDI countries than that in high HDI countries. In high HDI countries, the interaction between EPU and green entrepreneurship will weaken the positive effects of green entrepreneurship on the environment.

5 September 2023 in Management Decision
Verified
Journal Article
Closed access
WGWentao Gu
Wentao Gu
LLLixiang Li
Lixiang Li
SZShangfeng Zhang
Shangfeng Zhang
MYMing Yi
Ming Yi
Purpose: The purpose of this article is to explore the impact of the firm's entrepreneurship for the transformation of circular economy (CE). The role of entrepreneurship is thought to be important for the process of four Rs in the CE, and the authors have tried to study the role and impact path of entrepreneurship in CE.Design/methodology/approach: Empirical data from Chinese listed firms are collected, and a measure of digital technology is constructed by text mining method. Mediation analysis method is used to test the proposed hypothesis.Findings: The results show that the innovation entrepreneurship has a significant positive impact upon the CE and digital technology is playing a mediating role in the impact path. However, the business entrepreneurship is negatively affecting the CE adoption. Also, the proportion of shares hold by the institution has a heterogenous influence for the innovation entrepreneurship.Practical implications: This study guides policy makers about the role of entrepreneurship and the mediating effect of digital technology and to encourage the adoption of CE for firms.Originality/value: This study reveals the mediation effect of digital technology in the impact of entrepreneurship on CE in the emerging market. The heterogeneity of the proportion of shares hold by the institutions is also analyzed in the empirical study.

14 January 2025 in International Entrepreneurship and Management Journal
Verified
Journal Article
Closed access
PDF file
WGWentao Gu
Wentao Gu
HPHairui Pan
Hairui Pan

6 October 2025 in International Journal of Entrepreneurial Behavior & Research
Verified
Journal Article
Closed access
WGWentao Gu
Wentao Gu
HYHe Yiwen
He Yiwen
Purpose: Amid China's “Digital China” agenda and mixed findings largely drawn from large firms and digital-native startups, we ground the study in the essence of entrepreneurial innovation (EI) as the fusion of creative innovation and entrepreneurial behavior. We therefore examine ChiNext-listed small and medium-sized enterprises, which best match this nature, to assess whether, how and under what conditions digital transformation (DT) influences EI. We further analyze how these effects vary with internal organizational behavior and management as well as external financing forces in order to clarify mechanisms and boundary conditions and to inform policy and practice. Design/methodology/approach: We develop a context-centered framework to test how DT shapes EI across industry, organizational and social settings, drawing on principal–agent and cognitive theories. Using ChiNext-listed SMEs (2010–2023), we construct NLP-based DT and myopia measures from annual reports, combine them with financial and governance data and estimate firm- and year-fixed-effects panels to test main effects, mediations and venture capital (VC) moderation. Findings: DT lifts EI among ChiNext-listed SMEs, but gains vary by ownership, life cycle, and region. Value arises via governance: equity-based incentives mediate positively, while managerial myopia mediates negatively. VC has a dual, path-dependent role: it amplifies DT’s effect yet can suppress EI, dampen incentives and heighten myopia. Managers should tailor DT and incentives to context, strengthen absorptive capacity and engage long-term-oriented investors so DT translates into sustained, innovation-led performance. Originality/value: Rather than correcting sample bias, we target the DT–EI relationship at its natural locus by aligning the inquiry with EI’s essence and focusing on ChiNext-listed SMEs. We integrate a context-based framework with firm-level governance, identify managerial incentives myopia as internal channels and show heterogeneous moderation by VC, delivering rigorous, replicable evidence and actionable guidance for SME governance in digital markets.

22 July 2016 in Econometric Reviews
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Journal Article
Closed access
JZJing Zheng
Jing Zheng
WGWentao Gu
Wentao Gu
BXBaolin Xu
Baolin Xu
ZCZongwu Cai
Zongwu Cai
In this article, a generalized Lévy model is proposed and its parameters are estimated in high-frequency data settings. An infinitesimal generator of Lévy processes is used to study the asymptotic properties of the drift and volatility estimators. They are consistent asymptotically and are independent of other parameters making them better than those in Chen et al. ( 2010 Chen, S. X. , Delaigle, A. , Hall, P. (2010). Nonparametric estimation for a class of Lévy processes. Journal of Econometrics 157:257–271. [Crossref], [Web of Science ®] [Google Scholar] ). The estimators proposed here also have fast convergence rates and are simple to implement.