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This study is aimed to explore the dynamic performance incentive model for a flexible PPP contract to handle uncertainties based on supervision during the long-time concession period, so as to ensure operation performance and benefits of the public sector while protecting the economic benefit of the private sector, thus avoiding unnecessary renegotiation.

The microeconomic and principal–agent theories and relevant studies on the basic incentive model and flexible contract are fully utilized. The procedure for developing the dynamic incentive model and the assumptions about the quantitative relationships among fundamental variables or factors are first proposed. The static incentive model without incentive parameter adjustment and then the dynamic incentive model allowing incentive parameter adjustment are successively developed. Finally, the propositions regarding the valid adjustment ranges of the incentive parameter with respect to the economic, social and hybrid benefits of the public sector and the economic benefit of the private sector are suggested.

The dynamic incentive model enables to achieve a flexible contract to handle uncertainties on the PPP project to ensure the benefits of the public sector while protecting the benefit of the private sector. The economic, social and hybrid benefits of the public sector and the economic benefit of the private sectors can be respectively realized through adjusting the reward–punishment coefficient under different adjustment ranges and different importance. The incentive model is able to ensure the benefits of the public sector while protecting the benefit of the private sector by controlling the private sector's effort level unknown to the public sector.

The dynamic incentive model helps implement a flexible PPP contract to handle uncertainties during the operation period, thus controlling the effort level of the private sector and ensuring the benefits of the public sector while protecting the economic benefit of the sector. It enables to clarify the quantitative relationships between the operation performance, the benefits of the stakeholders, the effort level of the private sector and the reward–punishment coefficient. This study contributes to the domain knowledge of the incomplete contract theory for designing a flexible PPP contract with dynamic incentive and supervision mechanism by applying the microeconomic and principal–agent theories.

This paper constructs a tripartite evolutionary game model between the government, the core enterprises of film copyright export and imports and uses the system dynamics model to simulate and find the optimal selection results of single and mixed government incentives under dynamic changes, aiming to promote the development of foreign trade of film copyright and innovation and development of the film industry so as to improve the overall social benefits of the film industry and provide policy enlightenment for enhancing the import power of foreign core enterprises to introduce domestic film copyrights.

In this paper, a tripartite evolutionary game model of the government, the core enterprises of film copyright export and imports is constructed, the evolution process of cooperation strategy is derived, the impact of innovation income coefficient, mixed incentive policy and single incentive policy on the evolution results is analyzed, and the system dynamic model is used to simulate to find the optimal selection results of single and mixed government incentives under dynamic changes, so as to provide reference for the government’s dynamic incentive decision-making.

The results show that export-oriented core firms are more sensitive to mixed incentives, while import-oriented core firms respond more quickly to single incentives. The large innovation income coefficient has a negative impact on the willingness of import-oriented core enterprises to cooperate. The study proposes measures to increase the willingness of core companies to participate.

Due to the fact that numerical simulation is based on simulation, there may be a certain gap between it and the actual situation. Therefore, it is necessary to further use actual data to conduct empirical analysis on the theoretical model.

This article mainly focuses on analyzing the impact of strategy choices and related parameters of various entities on the incentive mechanism and studying the foreign trade cooperation strategies of film copyright export enterprises under policy support from a theoretical model perspective. Furthermore, research has proven that in order to effectively enhance the willingness of foreign import core enterprises to participate in the foreign trade of domestic film copyrights, the government needs to coordinate the use of single incentive policies and mixed incentive policies. This study provides a major contribution for policymaker to develop film copyright import and export trade.

Based on the research conclusions, this paper puts forward management countermeasures to further improve the development of the film copyright import and export trade. The first is to enrich government incentive methods and stimulate the vitality of film copyright and foreign trade market entities. The second is to guide the core enterprises of film copyright export to increase investment in innovation and stimulate the endogenous driving force of industrial development. Finally, lengthen the foreign trade industry chain of film copyright and increase the income of film derivatives.

Firstly, this paper applies the research methods of evolutionary game and system dynamics simulation to the field of foreign trade research on film copyright and expands the research perspectives and methods of the film industry. Secondly, by analyzing the “cost-benefit incentive” relationship of the evolutionary game of government export-oriented core enterprises and importing core enterprises, an evolutionary game model is constructed, the quantitative point of tripartite interest decision-making is solved and the research object of the evolutionary game method is expanded. Finally, the system dynamics model is used to simulate and find the optimal selection results of single and mixed government incentives under dynamic changes, so as to provide reference for the government’s dynamic incentive decision-making.

The purpose of this study is to present theory and empirical evidence on whether changes in leverage are systematically associated with changes in the CEO's risk incentives over time.Design/methodology/approach – A model is developed to explain the dynamic relationship between leverage and managers’ risk incentives, and empirically tested with data on executive stock option grants. The model relies on the observation that the risk sensitivity of a call option does not monotonically increase or decrease in the value of the underlying stock.Findings – It is found that changes in the CEO's risk incentives are not systematically correlated with changes in the firm's leverage over time.Research limitations/implications – The near‐universal practice of setting option exercise prices near the prevailing stock price at the date of grant effectively undoes most of the effects of financial leverage, and therefore executives’ incentives to take equity risk are not correlated with firm leverage.Practical implications – For reasonable parameter values, this risk incentive‐maximizing stock price lies very close to the option's exercise price. This finding provides evidence that stock options plans granted approximately at‐the‐money encourage maximum risk‐taking by managers in a dynamic setting.Originality/value – This paper develops theory and evidence to explain why executive stock options are usually granted at‐the‐money.

In a global environment where terrorist organisations based in a poor country target a rich nation, this paper aims to study the properties of a dynamically incentive compatible contract designed by the target nation that involves joint counter-terror tasks with costly participation by each country. The counter-terror operations are however subject to ex post moral hazard, so that to incentivise counter-terror, the rich country supplies developmental aid. Development aid also helps avoid unrest arising from counter-terror activities in the target nation. However, aid itself can be diverted to non-developmental projects, generating a novel interlinked moral hazard problem spanning both tasks and rewards.

The authors use a dynamic model where the aid giving countries and aid receiving countries behave strategically. Then they solve for the sub game perfect Nash equilibrium of this game.

The authors characterise the optimal contract, showing that the dynamic structure of counter-terror resembles the shock-and-awe discussed by military strategists. The authors then prove that it is not necessarily the case that a more hawkish (resp. altruistic) donor is less pro-development (resp. softer on terror). In addition, the authors show that it may be easier to contract for higher counter-terror inputs when the recipient is more sympathetic to terrorists. The authors also discuss other problems faced by developing nations where this model can be readily adopted and the results can endorse appealing policy implications.

The authors characterise the optimal contract, showing that the dynamic structure of counter-terror resembles the shock-and-awe discussed by military strategists. It is proved that it is not necessarily the case that a more hawkish (resp. altruistic) donor is less pro-development (resp. softer on terror). In addition, the authors show that it may be easier to contract for higher counter-terror inputs when the recipient is more sympathetic to terrorists. Other problems faced by developing nations are also discussed where this model can be readily adopted, and the results can endorse appealing policy implications. These results have important policy implications, in particular in today’s world.

The purpose of this paper is to analyze and solve the problem of moral hazard in firms because of asymmetry information between firms and workers and to contract upon the workers' shiftless actions.

Based on principle‐agent theory and human resource management practice, an optimal dynamic wage contract model is designed. By applying simulation technology, the dynamic wage contract model is compared to the general static wage contract model and the affects made by the optimal dynamic wage contract to workers and firms are analyzed.

According to the consequences of simulation, the dynamic wage contract has better characteristics and is more practical than the static one. In the dynamic wage contract, the current action of a worker has a persistent effect on the future outcome. It is proved that the dynamic wage contract is optimal to the firm. The optimal dynamic wage contract is renegation‐proofness. It not only can incentive workers to work hard and help the firm achieve Pareto efficiency, but also can smooth the firm's incentive costs and reduce the risk born by workers.

The paper provides some reasonable conclusions for the human resource management in firms.

As the complexity and uncertainty of megaprojects make it difficult for traditional management models to address the difficulties, this paper aims to design a performance incentive contract through IT applications, thereby promoting the formation of an information-based governance mechanism for megaprojects and facilitating the transformation and upgrading of the construction management model of megaprojects to informatisation.

This paper introduced IT applications into the performance assessment and used the proportion of IT applications replacing traditional manual management as a variable. It analysed different replacement ratios to obtain the optimal solution for the change of contractors behaviours and promote the optimal performance incentive for the informatisation in megaprojects.

The results show that under the condition of the optimal replacement ratio, achieving the optimal state of a mutual win-win situation is possible for the benefit of both sides. The counter-intuitive finding is that the greater the replacement ratio is not, the better, but those other constraints are also taken into account.

This study enriched the research of the performance configuration incentive from a practical perspective. It extended the research framework of IT incentive mechanisms in the governance of megaprojects from a management theory perspective. It clarified the role of IT applications in incentive mechanisms and the design process of optimal incentive contracts under different performance incentive states. The incentives made the contractors work harder to meet the owner's requirements, and it could improve the efficiency of megaprojects, thus better achieving megaproject objectives.

The high uncertainty of technological innovation in megaprojects brings great challenges to the R&D institution and also acts as a trigger for moral hazard. The incentive and supervision are effective means to improve the performance of innovation. The purpose of this paper is to propose appropriate incentive and supervision mechanisms to reduce information asymmetry and improve the efficiency of incentives. Suggestions on technological innovation are put forward to megaprojects management.

According to the principal-agent theory, the research develops incentive models under three states, i.e. information symmetry, information asymmetry and information asymmetry based on supervision mechanism. The Bayesian theory is employed to prove the effectiveness of the novel supervision method based on risk assessment.

The results indicate that under the information asymmetry, the incentive intensity is positively correlated with the social benefits coefficient, and negatively correlated with the patent benefits coefficient. The R&D effort and the owner's incentive intensity decline with the increase of information asymmetry. The supervision of risks can effectively reduce the degree of information asymmetry, and the higher the uncertainty of innovations, the more significant the effect of supervision is. As the supervision intensity increases, the incentive intensity, the R&D effort and the innovation output will increase. In addition, the R&D institutions with high innovation capability, low unit cost of R&D and low risk-aversion are more willing to make efforts to innovate.

This study fills the research gap on incentive and supervision of technological innovation in megaprojects. The externality of innovation benefits is considered in the model. The traditional incentive model is extended through the introduction of supervision. Furthermore, a novel supervision method based on risk assessment is proposed. The results validate the importance of risk management in technological innovation and provide a new insight for project management.

An optimal control model is built considering the private sector's opportunistic effort diversion and reciprocal effort improvement, while a numerical study is conducted to draw some managerial implications.

In infrastructure PPP projects, private sectors may opportunistically divert part of their effort from the current projects to other projects to allocate their limited human resources. Nevertheless, this effort diversion can be inhibited by dynamic incentives since the private sectors reciprocally exert greater effort into the current projects when receiving the dynamic incentives. This article investigates how the government specifies the output standard that the private sector should meet and offers dynamic incentives to mitigate the private sector's opportunistic effort diversion.

The output standard for the private sector to acquire the dynamic incentives should be specified as the output level corresponding to the private sector's optimal long-run stationary equilibrium (OLSE) effort level, which decreases with its reciprocal preference level but increases with its effort-diverting level. The optimal dynamic incentives comprise an initial incentive and a periodic OLSE incentive, which declines with the reciprocal preference level but improves with the effort-diverting level. Besides, the numerical study reveals that the government should distinguish whether the bidders have high effort-diverting levels and, if so, should focus on their reciprocal preference levels and decline the bidders with low reciprocal preference to avoid utility loss.

This article provides a theoretical model combining opportunistic behavior with reciprocal preference through an optimal control lens, thus embedding the problem of incentive design into a broader socioeconomic framework.

The purpose of this paper is to investigate the individual and interaction effects of chief executive officers (CEO)-chairman leadership structure (CEO duality) and CEO-serviced early years (the first three years in office) on real earnings management (REM) through sales activities of listed firms in the Stock Exchange of Thailand (SET).

The longitudinal data on CEO and chairman names of 3,825 firm-year observations were manually gleaned from the SET market analysis and reporting tool and the annual reports from 2001 to 2015. Multiple regressions were utilized to analyze the effects.

The findings show a positive relationship between CEO duality and sales-driven REM. However, the CEO-serviced early years have no association with sales-driven REM. The CEO duality/serviced early year interaction effect is positively correlated to sales manipulation. In addition, firms with the CEO duality engage in upward or downward sales-driven REM, while firms with newly appointed CEO adopt only the upward sales-driven REM. In firms which their newly appointed CEO concurrently serves as chairman, either upward or downward sales-driven REM strategy is introduced.

The findings provide some grounds for capital market and regulators to exercise caution when it comes to firms with the newly appointed CEO and/or the CEO duality, given a high tendency to manipulate sales revenues.

This study is the first to investigate the relationship between the CEO duality/serviced early years on sales-driven REM. The findings are expected to complement existing publications on REM.

The purpose of this paper is to analyze the role of four different incentives in improving hedging effectiveness and propose an alternative regulatory mechanism for China’s futures market.

The research method that this study uses is a laboratory experiment, and this study follows the basic norms of experimental research. In addition, this paper designs and conducts a game experiment between hedgers and futures brokerage firms (FBFs) under different incentive mechanisms.

By analyzing the experimental data, it is found that compared with other incentive mechanisms, hedgers’ willingness to hedge and FBFs’ regulatory intention are both significantly higher for the dynamic linkage updating mechanism, indicating that hedgers have a stronger willingness to follow their hedging plan, and FBFs are more responsible for their regulatory behaviors. Additionally, the dynamic linkage updating mechanism has a long-term impact on effective hedging in the futures market.

The findings suggest that the dynamic linkage updating mechanism is beneficial for effectively restricting both hedgers’ over-speculation and FBFs’ regulatory slack and improving the hedging efficiency of the futures market.

To solve the problem of inefficient hedging in China’s futures market, i.e., hedgers’ over-speculation and FBFs’ passive collusion with hedgers, the regulators of China’s futures market should reform the existing incentives and adopt a dynamic linkage updating mechanism to encourage all the participants to actively improve hedging effectiveness.

This paper analyzes and verifies, for the first time, the role of the dynamic linkage updating mechanism in the investing behaviors of hedgers and the regulatory behaviors of future brokerage firms. The futures market experiment that was designed and used in this study is a pioneering and exploratory experiment that applies game theory and mechanism design theory to the field of behavioral finance.