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Despite the acknowledgment of the significant role leaders play in knowledge management, there has been limited focus on the dynamic relationship between one particular leader’s behavior and knowledge sharing of employees. This study aims to investigate the impact of leader generosity on employee knowledge sharing.

Drawing upon the generalized reciprocity theory, we develop a process model that examines the impact of leader generosity on knowledge sharing, and empirically tests the resulting mechanism. Based on event-contingent ESM that collected 1147 episodic data points, the data are analyzed by Mplus 8.30 and R software.

The findings indicate that employee gratitude and prosocial motivation respectively play a mediating role in the relationship between leader generosity and knowledge sharing. Additionally, leader generosity has an indirect impact on knowledge sharing via employee gratitude and prosocial motivation. Furthermore, relational self positively moderates the relationship between leader generosity and employee gratitude, while also moderates the chain mediation effect between leader generosity and knowledge sharing.

By exploring the important influence of leaders in implementing knowledge management practices, the authors demonstrate that a specific leader behavior (i.e. leader generosity) shapes the positive emotion and reciprocal motivation of employees and its subsequent impact on knowledge sharing. This paper complements the focus on knowledge sharing in the daily behavior literature of leaders, suggesting that leader generosity matters for employee knowledge sharing.

The development and evolution of stakeholder collaborative innovation in megaprojects is impacted by various influencing factors. The effect of influencing factors on collaborative innovation performance (CIP) in megaprojects is not a simplistic linear relationship but an iterative and non-linear relationship that requires a dynamic perspective to analyze. Therefore, this paper adopts the system dynamic (SD) approach to investigate the dynamic and interactive relationships between the CIP and the influencing factors.

The study first develops a research framework with the system boundary of “CIP system – organizational collaboration subsystem – knowledge collaboration subsystem – strategic collaboration subsystem”. Then, the causal relationship model, the stock-flow model, and the mathematical equations were determined based on the literature review and the expert interviews. Finally, five performance improvement scenarios were designed according to the practice context of CIP in megaprojects, and simulations were performed using the Vensim PLE software to investigate the CIP from a dynamic perspective.

The findings reveal that the effect of different influencing factors on CIP grows non-linearly, with the cumulative effect becoming more pronounced as time advances. The incentive mechanism has the most significant effect, and the combined effect of multiple influencing factors has a highly significant facilitating effect on improving CIP. Strategic collaboration, organizational collaboration and knowledge collaboration are mutually conditional and reinforcing with each other, which ultimately promotes the improvement of CIP.

This study uncovers the inherent pattern and the interactive dynamic mechanism of factors for improving CIP in the context of megaprojects. It enriches the theoretical research in the area of collaborative innovation in megaprojects and provides practical management strategies for improving CIP.

This study seeks to explore the presence and the relative strength of market efficiency in the onshore and offshore Renminbi (RMB) forward markets.

In the onshore and offshore foreign exchange markets, the RMB forward contracts are designed in similar ways. However, the underlying economic forces and regulatory frameworks are very different in these two markets. We first analyze the functioning of each market, by examining the covered interest rate parity (CIRP) conditions. Second, we explore the CIRP deviations in the two markets and quantify the role of market frictions and government interventions.

We find that the CIRP condition does not hold in either the onshore or the offshore RMB forward markets. We also find that the offshore market is more efficient than the onshore market in conveying private information about investors’ expectation.

Our results reveal that the onshore RMB forward market provides an imperfect platform for investors to manage their currency exposures. We suggest that by opening the offshore market to domestic participants and the onshore market to more foreigners, the forward rates may become more informative with a greater investor mix. These liberalization efforts are important steps in the right directions to improve market efficiency in the Chinese FOREX market.

The purpose of this paper is to reveal the economic impact of policy reversals related to market liberalization reforms in China.

To perform the analysis, the authors hand-collect 59 financial market liberalization policy reversals from 1999 to 2017. These reversals are related to the liberalization of the stock market, bond market, derivatives market, forex market, lending market, and real estate market etc. The authors employ a stylized equilibrium interest rate model from Li et al. (2013) to deduce the impact of policy reversals on economic growth and the associated volatility after the announcement of each policy reversal.

First, the authors discover that about half of reversals are related to some tradeoff between the economic growth and the volatility associated with growth. Second, the authors also find that about a quarter of the reversals are detrimental to both the growth and the stability. These reversals, if known to policymakers, should be entirely avoided or corrected. Third, using a simple diagnostic test, the authors can identify detrimental reversals at the intra-day frequency by computing the change of the term spread and the volatility before and after the reversals.

The findings are useful for identifying effective policymaking in developing countries where mature democratic and rigorous policymaking processes are often lacking and formulating economic policies is challenging. The findings suggest that policy reversals serve China well by improving the quality of the policy made without posing destructive consequences to the existing economic infrastructure. This empirical evidence is important for a better understanding of the benefits of policy reversals on economic growth.

The empirical procedure provides a timely and objective evaluation of policy shifts, allowing for the general public to discern the rationale behind the policy decisions. Consequently, stakeholders’ trust and confidence in policymakers is enhanced so that the probability of the successful implementation of structural reforms may increase in these developing countries.

First, the results reveal some successful examples of Chinese policymaking in the path of liberalizing financial market. The authors find that the Chinese liberalization policy flip-flops have resulted in a more balanced growth on some occasions with reduced growth rate and volatility. Second, the proposed methodology provides an objective evaluation of policy shifts, allowing for the public to infer the general direction of the impact generated by policy shifts. Subsequently, stakeholders’ trust and confidence in policymakers can be enhanced and/or restored if the process of finding a successful path of structural reforms is unambiguous. Finally, the interest rate model also provides a timely method to evaluate the impact of policy shifts at an intra-day frequency, whereas most macroeconomic indicators are available at longer frequencies such as monthly or quarterly. The timeliness in understanding the economic consequences of policy reversals can be critical to prevent the destructive consequences of bad ones.

The purpose of this paper is to propose a seamless autonomous navigation method based on the motion constraint of the mobile robot, which is able to meet the practical need of maintaining the navigation accuracy during global positioning system (GPS) outages.

The seamless method uses the motion constraint of the mobile robot to establish the filter model of the system, in which the virtual observation about the speed is used to overcome the shortage of the navigation accuracy during GPS outages. The corresponding motion constraint model of the mobile robot is established. The proposed seamless navigation scheme includes two parts: the micro inertial navigation system (MINS)/GPS-integrated filter model and the motion constraint filter model. When the satellite signals are good, the system works on the MINS/GPS-integrated mode. If some obstacles block the GPS signals, the motion constraint measurement equation will be effective so as to improve the navigation accuracy of the mobile robot.

Three different vehicle tests of the mobile robot show that the seamless navigation method can overcome the shortage of the navigation accuracy during GPS outages, so as to improve the navigation performance in practical applications.

A seamless navigation system based on the motion constraint of the mobile robot is proposed to overcome the shortage of the navigation accuracy during GPS outages, thus improving the adaptability of the robot navigation.

This study empirically investigates the impacts of technological innovation and operational efficiency on environmental performance and the moderating effects of environmental orientation.

We develop a conceptual framework based on the Porter Hypothesis. We collect a sample of 850 listed firms in China between 2010 and 2019. The fixed effect model was used to analyse the data.

The empirical findings reveal that technological innovation indirectly enhances environmental performance through operational efficiency and partially mediates this impact. We also find that environmental orientation strengthens the positive impacts of technological innovation and operational efficiency on environmental performance.

This study contributes to the literature by revealing that technological innovation is positively associated with operational efficiency and environmental performance, which suggests that technological innovation can simultaneously enhance business and environmental performance. Hence, this study provides empirical support for the Porter Hypothesis. The results also extend the Porter Hypothesis by revealing how technological innovation affects environmental performance and under what conditions technological innovation has a greater impact on environmental performance.

This paper aims to explore the impact of green finance on the heterogeneity of enterprise green technology innovation and the underlying mechanism between them.

Using the data of China's A-share listed enterprises from 2008 to 2020 and the fixed effect model, the authors empirically explore the relationship and mechanism between green finance and green technology innovation by constructing the green finance index while considering both the quality and quantity of innovation.

The study suggests that green finance is positively related to the quality and quantity of enterprise green technology innovation, while green finance is more effective in stimulating the quality of green technology innovation than quantity. In addition, alleviating financial mismatch and improving the quality of environmental information disclosure are core mechanisms during the process of green finance facilitating green technology innovation. Furthermore, green finance exerts a more positive effect on the quality and quantity of green technology innovation with large-size enterprises, heavily polluting industries and enterprises in the eastern region.

This paper enriches the literature on green finance and green technology innovation and provides practical significance for green finance implementation.

The purpose of this paper is to examine the effects of energy technological innovation on carbon emissions in China from 2001 to 2016.

Conditional mean (CM) methods are first applied to implement our investigation. Then, considering the tremendous heterogeneity in China, quantile regression is further employed to comprehensively investigate the potential heterogeneous effect between energy technological innovation and carbon emission intensity.

The results suggest that renewable energy technological innovation has a significantly positive effect on carbon emission intensity in lower quantile areas and a negative effect in higher quantile areas. Contrarily, fossil energy technological innovation exerts a negative correlation with carbon emission intensity in lower quantile areas and a positive effect on carbon emission intensity in higher quantiles areas.

Considering that energy consumption is the main source of CO₂ emissions, it is of great importance to study the impact of energy technological innovation on carbon emissions. However, the previous studies mainly focus on the impact of integrated technological innovation on carbon emissions, ignoring the impact of energy technological innovation on carbon emissions mitigation. To fill this gap, we construct an extended STIRPAT model to examine the effects of renewable energy technological innovation and fossil energy technological innovation on carbon emissions in this paper. The results can provide a reference for the government to formulate carbon mitigation policies.