摘要：
Purpose
Drawing on the dual-strategies theory of social rank and leader distance theory, this paper aims to investigate the influence of supervisor bottom-line mentality (BLM) on employee knowledge-related behaviors by considering the mediating role of perceived leader prestige or dominance and the moderating role of supervisor–subordinate guanxi (SSG).
Design/methodology/approach
This study collected survey data from 185 research and development employees in East China at three-time points. The authors conducted path analysis and bootstrapping-based analytic approach to test the hypotheses by Mplus7.0.
Findings
The results showed that supervisor BLM has a negative effect on employee knowledge sharing and a positive effect on knowledge hiding. Besides, perceived leader prestige or dominance mediated the relationship between supervisor BLM and employee knowledge hiding. Furthermore, SSG moderated the relationship between supervisor BLM and perceived leader prestige or dominance, as well as the indirect effects of supervisor BLM on knowledge hiding via perceived leader prestige or dominance.
Originality/value
There is limited research on investigating the influence of supervisor BLM in the field of knowledge management. The authors carried out this study to provide evidence of how and when supervisor BLM affects employee knowledge sharing and hiding.
期刊：
Expert Systems with Applications,2023年219:119652 ISSN：0957-4174
通讯作者：
Wen-Ze Wu
作者机构：
[Xie, Wanli] School of Communication, Qufu Normal University, Rizhao, 276826, China;[Liu, Chong] College of Sciences, Northeastern University, Shenyang, 110819, China;[Wu, Wen-Ze] School of Economics and Business Administration, Central China Normal University, Wuhan, 430079, China
通讯机构：
[Wen-Ze Wu] S;School of Economics and Business Administration, Central China Normal University, Wuhan, 430079, China
关键词：
Enrollments;Fractional derivative;Fractional-order accumulation;Grey system model
作者机构：
[Liu, Botao; Tu, Zhengge; Cao, Yu] Cent China Normal Univ, Sch Econ & Business Adm, Wuhan 430079, Peoples R China.
通讯机构：
[Botao Liu] S;School of Economics and Business Administration, Central China Normal University, Wuhan 430079, China<&wdkj&>Author to whom correspondence should be addressed.
摘要：
In the context of building a “Beautiful China”, it is imperative to strengthen environmental regulations to restrict industrial pollution emissions. However, there are significant differences of regulations intensity among different regions, which will lead to an increase in the cost of compliance with regulations for polluting industries, so these industries tend to transfer from areas with strong environmental regulations to areas with weak environmental regulations. Based on the panel data of 282 prefecture-level cities and national patent data from 1994 to 2010, this paper constructs a difference in difference model (DID) to empirically study the impact of environmental regulations on regional industrial transfer and its mechanism. We find that, firstly, the “Two-Control Zones” policy has significantly promoted regional industrial transfer, and its effect has gradually increased in the long run. Then, the promotion effect of the “Two-Control Zones” policy on regional industrial transfer is heterogeneous among different regions due to the regional market environment and resource endowment; that is, the promotion effect is the greatest in Central China, then in Eastern China, and finally in Western China. At the same time, the frequency of industrial transfer in areas with high resource dependence is significantly lower than that in areas with low resource dependence. Finally, mechanism studies find that environmental regulation enhances inter-regional industrial liquidity and promotes regional technological innovation, and the role of environmental regulation on technological innovation is more obvious in regions with weak industrial liquidity. This proves that the “Pollution Heaven Hypothesis” and the “Porter Hypothesis” can be established at the same time in the Chinese context, which provides more reliable empirical evidence for the government to formulate environmental regulations, restrict pollution emissions, and balance environmental governance and sustainable economic development.
作者机构：
[Shen, Renjun] Cent China Normal Univ, Sch Econ, Business Adm, Wuhan, Peoples R China.;[Shen, Renjun] Cent China Normal Univ, Res Ctr Lowcarbon Econ & Environm Pol, Wuhan, Peoples R China.;[Huang, Shiqian] Peking Univ, Grad Sch Educ, Beijing, Peoples R China.;[Huang, Shiqian] Peking Univ, China Inst Educ Finance Res, Beijing, Peoples R China.;[Yang, Shubin] Univ Westminster, Westminster Business Sch, London, England.
通讯机构：
[Shubin Yang] W;Westminster Business School, University of Westminster, London, UK
关键词：
Industrial redistribution;regional development and climate;population migration;CO2 emissions
期刊：
China Journal of Accounting Studies,2023年11(3):465-492 ISSN：2169-7213
作者机构：
[Yunjing Liu; Min Zhang] School of Business, Renmin University of China, Beijing, China;[Bin Wu] School of Economics and Business Administration, Central China Normal University, Wuhan, China
摘要：
Combining the company’s risk of financial fraud predicted by the machine learning method and unique Chinese data of board voting, this study investigates whether independent directors can identify the company’s risk of financial fraud. We find that independent directors are more likely to express dissenting opinions on board’s financial-related proposals when the company has a higher risk of financial fraud; this impact is more pronounced when independent directors have more financial backgrounds or higher reputations. Further study shows that companies with independent directors’ dissension have a lower risk of financial fraud in the future after controlling the risk of financial fraud in the current year. Our findings indicate that independent directors can identify the company’s risk of financial fraud and play as a supervisor, thereby reducing the probability of the company’s future financial fraud. Our findings provide direct empirical evidence for the effectiveness of the independent director system and enhance our understanding of independent directors’ actual voting behaviour.
期刊：
Environmental Science and Pollution Research,2023年30(19):55187-55199 ISSN：0944-1344
通讯作者：
Wei, Wei
作者机构：
[Wang, Zhi; Li, Kangjia; Wei, Wei; Huang, Wenmin] Cent China Normal Univ, Sch Econ & Business Adm, Wuhan 430079, Peoples R China.;[Huang, Wenmin] China Chengtong Holdings Grp Ltd, Beijing 100031, Peoples R China.;[Wei, Wei] Cent China Normal Univ, Ctr Low Carbon Econ & Environm Policy, Wuhan 430079, Peoples R China.;[Liu, Zhen] Nanjing Normal Univ, Sch Business, Nanjing 210023, Peoples R China.
通讯机构：
[Wei, Wei] S;School of Economics and Business Administration, Central China Normal University, Wuhan, 430079, China.;Center for Low Carbon Economy and Environmental Policy, Central China Normal University, Wuhan, 430079, China.
关键词：
High-speed rail;COD emission intensity;Firm heterogeneity;Difference in difference model
作者机构：
[Lu, Junli; Li, Yanyan; Yu, Xing; Shen, Xilin] Cent China Normal Univ, Sch Econ & Business Adm, Wuhan 430079, Peoples R China.
通讯机构：
[Xing Yu] S;School of Economics and Business Administration, Central China Normal University, Wuhan, 430079, China
关键词：
Futures hedging;Market state dependent;Model driven strategy;Synchronous movement intensity
摘要：
Risk and return are two fundamentals that have an impact on an investor???s or hedger???s investing choices. Based on the proposed synchronous movement intensity index, this paper aims to improve the hedging performance by adjusting the model-driven hedge ratio and realize the trade-off between return and risk in futures hedging. First, without loss of generality, we forecast crude oil spot and futures volatility using 10 GARCH-type models, including three linear models and seven nonlinear models, to obtain the ex-ante hedging ratio under the minimum variance framework. Then, we develop a novel and tractable method to identify the market state based on the index of consistency intensity, in which the index portrays the synchronous degree of stock price movements in the energy sector. Last but not least, we propose the hedge ratio adjustment criteria based on the identified state, and adjust the ratio driven by GARCH-type models of futures in accordance with the market state. Empirical results of crude oil futures markets indicate that the proposed state-dependent hedging model is superior to the commonly used models in terms of three criteria including mean of returns, variance, and ratio of mean to variance of returns for measuring hedging effect. We apply the DM test to make a statistical inference and discover that while the mean and the ratio of mean to variance of returns are increasing, the variance and hedging effectiveness of the hedged portfolio based on the modified methods are not significantly affected. Furthermore, the superiority of the proposed method is robust to different market conditions, including significant rising or falling trends, large basis, and COVID-19 pandemic. We also test the robustness of the proposed method with respect to the baseline model, quantile, and evaluation window. Overall, this paper provides a more realistic approach for crude oil risk managers to hedge crude oil price risk, some corresponding implications are also concluded.
作者机构：
[Cui, Chunying] Yiwu Ind & Commercial Coll, Sch Econ & Management, Yiwu 322000, Peoples R China.;[Cui, Chunying] Cent China Normal Univ, Sch Econ & Business Management, Wuhan 430079, Peoples R China.;[Yan, Ziwei] Wenhua Coll, Dept Econ & Management, Wuhan 430073, Peoples R China.
关键词：
digital economy;domestic non-tradable sectors;regional economic growth
摘要：
The impact of the digital economy (DE) has become the important faction of the market volume of domestic non-tradable sectors (DNSs). As rising digitalization supersedes traditional market power as a driving force, there is increasing concern about the volume of trade and economy; however, the literature of how the DE procession changed the DNS's are limited, although the Chinese government is eager to enlarge the scale of the domestic market to be consistent with the trend of digitalization. This paper addressed this issue by employing a series of data from prefecture-level cities between 2010 and 2019 in China. Using panel data methods under fixed effect, synthetic difference-in-differences (SDID), and temporal-spatial econometrics, the paper's hypothesis sheds light on the positive impact of the DE on DNSs. The regression results showed a 14.84% of improvement for the effects of DE development on DNS growth. The policy impact effect increased the average treatment effect by 3.9% average treatment effect, accompanied by temporal and spatial correlations. Further analysis illustrated that a possible intermediary mechanism through which the DE promotes the development of DNSs is the enhancement of the local product market development. It was concluded that policy-makers of developing countries should be devoted to breaking down domestic trade barriers among different regions to enhance the benefits of digitalization.
期刊：
INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING,2023年 ISSN：0219-6220
通讯作者：
Yu, X
作者机构：
[Liu, Chenya; Yu, Xing] Cent China Normal Univ, Sch Econ & Business Adm, Wuhan 430079, Peoples R China.;[Zhang, Weiguo] Shenzhen Univ, Sch Management, Shenzhen 518060, Peoples R China.
通讯机构：
[Yu, X ] C;Cent China Normal Univ, Sch Econ & Business Adm, Wuhan 430079, Peoples R China.
关键词：
Salmon price risk hedging;fuzzy copula model;Kullback-Leibler divergence;mixture Gaussian model
摘要：
Copula method can explain the dependent function or connection function which connects the joint distribution and the univariate marginal distribution. Therefore, copula has recently become a most significant important tool in the financial field of risk management, portfolio allocation, and derivative asset pricing. However, it leads to a possibilistic uncertainty in estimating the parameters of copulas because of insufficient historical data, imprecise parameter estimation, and uncertain knowledge of future prices. This paper proposes a fuzzy copula model via Kullback-Leibler (KL) divergence to model the fuzzy relations, and further to investigate the hedging issues of salmon futures. We use a new framework of hedging under fuzzy circumstances, consisting of innovative marginal distributions and fuzzy intervals. By synergizing fuzzy copula and simulations, we use the fuzzy copula-GMM to obtain the hedge ratios of salmon futures. The empirical results show that, compared with traditional probabilistic methods, the fuzzy copula-GMM hedges the salmon spot risk measured by variance more successfully.
