zhifang zhou

Prof. zhifang zhou


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

View All Publications
1 October 2021 in Journal of Environmental Management
Verified
Journal Article
Closed access
zhifang zhouzhifang zhou
zhifang zhou
JLJinhao Liu
Jinhao Liu
NZNingxin Zhou
Ningxin Zhou
TZTao Zhang
Tao Zhang
Huixiang ZengHuixiang Zeng
Huixiang Zeng

2 July 2019 in Business Strategy and the Environment
Verified
Journal Article
Closed access
PDF file
Huixiang ZengHuixiang Zeng
Huixiang Zeng
TZTao Zhang
Tao Zhang
zhifang zhouzhifang zhou
zhifang zhou
YZYang Zhao
Yang Zhao
XCXiaohong Chen
Xiaohong Chen

22 January 2020 in Business Strategy and the Environment
Verified
Journal Article
Open access
PDF file
zhifang zhouzhifang zhou
zhifang zhou
LZLingyan Zhang
Lingyan Zhang
LLLi Lin
Li Lin
Huixiang ZengHuixiang Zeng
Huixiang Zeng
Xiaohong CHENXiaohong CHEN
Xiaohong CHEN
Given the strengthening of carbon regulations and the launch of emission trading scheme in China, companies are facing tremendous pressure to reduce carbon emissions, suggesting the necessity of understanding whether carbon risk management may affect corporate financial benefits. Therefore, this paper empirically demonstrates the influence of carbon risk management on corporate competitive advantages. We find that the relationship between carbon risk management and corporate competitive advantages is a “kuznets curve” that exists only among firms with weak product competition. And this relationship tends to be weakened in firms with a distant administrative hierarchy. We conclude that the influence of low carbon management on corporate competitive advantages is complicated and subject to the firm's political relevance.

30 June 2020 in Sustainability
Verified
Journal Article
Open access
PDF file
SXSongtao Xu
Songtao Xu
zhifang zhouzhifang zhou
zhifang zhou
KLKe Liu
Ke Liu
The introduction of third-party governance models for the treatment of soil heavy metal pollution has promoted the marketization, professionalization, and efficiency of pollution treatment, but also can result in distortions of relevant stakeholder relationships and conflicts of interest. The game relationship among the government, soil-polluting companies, and third-party governance companies may solve the practical dilemma of comprehensive management of soil heavy metal pollution and establish a good cooperative mechanism. We constructed a three-party evolutionary game model to analyze the interaction mechanism of each agent’s strategy choice as well as the evolution of each agent’s strategy choice under different parameter trends and simulation analyses. The research showed that the amount of fines and supervision costs, rent-seeking costs and governance costs, and government subsidies and rent-seeking benefits were key factors affecting the evolution and stability strategies of government departments, soil-polluting companies, and third-party governance companies. By cooperating with third-party governance companies, the government can effectively suppress the improper behavior of soil-polluting companies. The conclusions of the study are helpful to broaden the research boundary of soil heavy metal pollution treatment and provide theoretical guidance for the treatment of soil heavy metal pollution in China.

11 November 2024 in Journal of Supply Chain Management
Verified
Journal Article
Open access
zhifang zhouzhifang zhou
zhifang zhou
YDYixiang Dai
Yixiang Dai
SHShangjie Han
Shangjie Han
TZTao Zhang
Tao Zhang
JLJinhao Liu
Jinhao Liu
XCXiaohong Chen
Xiaohong Chen
Although existing research emphasizes the importance of internal carbon management (CM) in influencing firm risk, the impact of external stakeholder CM on firm risk remains unclear. This study employs signaling theory to explore how supplier CM affects firm idiosyncratic risk (IR), alongside the moderating roles of the supply chain information environment and the criticality of firm–supplier relationships. The findings of this study demonstrate that supplier CM can reduce firm IR. The risk reduction effect is strong when the information environment between a firm and its suppliers is rich and when the dependency between the firm and its supplier is strong. Path analysis reveals that supplier CM primarily reduces firm IR by alleviating information asymmetry. Moreover, the risk reduction effect increases for firms with small sizes. This research extends the application of signaling theory to supply chain research and bridges the gap between the CM and firm IR literature within the context of supply chain management.

30 November 2021 in Sustainability
Verified
Journal Article
Open access
PDF file
HWHaiquan Wu
Haiquan Wu
WLWenli Liao
Wenli Liao
zhifang zhouzhifang zhou
zhifang zhou
YLYi Li
Yi Li
As global environmental problems become increasingly severe, corporate social (environmental) responsibility has become a hot topic in research, but there is still a lack of clear understanding of corporate environmental irresponsibility behavior and the driving factors behind this behavior. Our research aims to reveal the factors affecting corporate environmental irresponsibility from both internal and external perspectives. Inside enterprises, financial constraints will affect the degree of capital adequacy and thus affect the environmental behavior of enterprises. Externally, the fulfillment of corporate environmental responsibility will be affected by external regulatory pressure. Taking 399 A-share listed companies in China’s heavily polluting industries as the research objects, this paper empirically analyzes the influence paths and internal mechanisms of financial constraints and regulatory distance on corporate environmental irresponsibility, and it further divides regulatory distance into physical regulatory distance and power regulatory distance. This paper’s findings show that both financial constraints and physical regulatory distance were positively correlated with corporate environmental irresponsibility in China, and that the positive correlation between physical regulatory distance and corporate environmental irresponsibility was more significant in non-state-owned enterprises. In addition, financial constraints and regulatory distance have a complementary effect on corporate environmental irresponsibility. These findings can reduce the environmental risks posed by enterprises and help them to avoid environmental irresponsibility.