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CEO incentive contracts are commonplace in China but their incidence varies significantly across Chinese cities. We show that city and provincial policy experiments help explain this variance. We examine the role of two policy experiments: the use of Special Economic Zones (SEZs) to attract Foreign Direct Investment (FDI), and the privatisation of State-Owned Enterprises (SOEs). The introduction of SEZs is found to be uncorrelated with the prevalence of CEO incentive contracts. However, firms are more likely to use such contracts in areas that saw rapid SOE privatisation, irrespective of the firm’s own current ownership status and irrespective of the size of the SOE sector in the late 1970s. The positive effect of privatisation is robust to various estimation techniques and model specifications. These findings suggest that domestic privatisation policies have been more influential than FDI in driving the expansion of incentive contracts in China.

All that we know about the Chief Executive Officer (CEO) labour market in China comes from the studies of public listed companies and State-owned Enterprises (SOEs). This is the first attempt to examine the operation of the CEO labour market across all industrial sectors of the Chinese economy. We find that the influence of the State extends beyond SOEs into many privately owned firms. Government is often involved in CEO appointments in domestic firms and, when this is the case, the CEO has less job autonomy and is less likely to have pay linked to firm performance. Nevertheless, we find that incentive schemes are commonplace and include contracts linking CEO pay directly to firm performance, annual bonus schemes, the posting of performance bonds, and holding company stock. The elasticity of pay with respect to company performance is one or more in two-fifths of the cases where CEOs have performance contracts, suggesting many face high-powered incentives. We also show that State-owned and domestic privately owned firms are more likely than foreign-owned firms to use incentive contracts.

The asymmetry of the velocity profile caused by geometric deformation, complex turbulent motion and other factors must be considered to effectively use the flowmeter on any section. This study aims to better capture the flow field information and establish a model to predict the profile velocity, we take the classical double elbow as the research object and propose to divide the flow field into three categories with certain common characteristics.

The deep learning method is used to establish the model of multipath linear velocity fitting profile average velocity. A total of 480 groups of data are taken for training and validation, with ten integer velocity flow fields from 1 m/s to 10 m/s. Finally, accuracy research with relative error as standard is carried out.

The numerical experiment yielded the following promising results: the maximum relative error is approximately 1%, and in the majority of cases, the relative error is significantly lower than 1%. These results demonstrate that it surpasses the classical optimization algorithm Equal Tab (5%) and the traditional artificial neural network (3%) in the same scenario. In contrast with the previous research on a fixed profile, we focus on all the velocity profiles of a certain length for the first time, which can expand the application scope of a multipath ultrasonic flowmeter and promote the research on flow measurement in any section.

This work proposes to divide the flow field of double elbow into three categories with certain common characteristics to better capture the flow field information and establish a model to predict the profile velocity.

The purpose is to predict the distribution of the residual pretightening force of the bolt group under the action of any initial pretightening force, and to achieve the final residual pretightening force as the target to solve the initial pretightening force value to be applied.

Based on the finite element method and the elastic interaction theory between bolt group, this paper establishes a prediction model for the residual pretightening force distribution of bolt group for one-step pretightening and multi-step pretightening of gasketless flange connection systems. In addition, using the general modeling method given in this paper, the prediction model of residual pretightening force of long plate bolt connection system is established, and compared with reference, which fully proves the effectiveness and universality of the general prediction model of residual pretightening force of bolt group.

The appropriate pretightening sequence, increasing the number of pretightening steps and variable amplitude loading can effectively reduce the influence of elastic interaction and improve the uniformity of residual pretightening force of the bolt group. And the selection of material, number of bolts and connected thickness of bolt connection system also has a great influence on the distribution of residual pretightening force of bolt groups.

The general prediction model for the residual pretightening force of bolt group of connecting structural components considering elastic interaction given in this paper can provide a reference for the design and optimization of the bolt assembly process of the rotor system and the casing system in aero-engine and the prediction of the performance of the connecting system.

This paper aims to classify the inductorless Chua’s circuits into two types from the topological structures and construct a chaotic circuit under this new classification framework.

In this paper, two types of inductorless Chua’s circuit models are presented from topological structure, among which the first type of inductorless Chua’s circuit (FTICC) model is much closer to the original Chua’s circuit. Under this classification framework, a new inductorless Chua’s circuit that belongs to the FTICC model is built by replacing LC parallel resonance of the original Chua’s circuit with a second order Sallen–Key band pass filter.

Compared with a paradigm of a reported inductorless Chua’s circuit that belongs to the second type of inductorless Chua’s circuit (STICC) model, the newly proposed circuit can present the attractors which are much more closely to the original Chua’s attractors. The dynamical behaviors of coexisting period-doubling bifurcation patterns and boundary crisis are discovered in the newly proposed circuit from both numerical simulations and experimental measurements. Moreover, a crisis scenario is observed that unmixed pairs of symmetric coexisting limit cycles with period-3 traverse through the entire parameter interval between coexisting single-scroll chaotic attractors and double-scroll chaotic attractor.

The newly constructed circuit enriches the family of inductorless Chua’s circuits, and its simple topology with small printed circuit board size facilitates the various types of engineering applications based on chaos.

The purpose of this study is to explore how three experiential factors – perceived social support from host-country nationals (HCNs), adaptation difficulties, and attitude towards assimilating into the host culture and society – influence the generation of worthwhile feelings and the intention to pursue expatriate career opportunities in the host country among short-term studying abroad (STSA) students.

This study used data from a survey of 297 Thai students who studied in Chinese universities between 2015 and 2019. A bivariate probit model was applied due to its ability to account for the potential correlation of errors between the two binary outcome variables: worthwhileness and aspiration for expatriate careers.

Adaptation difficulties reported by students negatively impacted their willingness to work in the host country, but did not diminish their perception of the sojourn as worthwhile. Satisfaction with social support from HCNs was found to not only enhance the worthwhileness of the sojourn but also inspire students' expatriate career intentions in the host country. The study also found that while willingness to assimilate into the host culture and society primarily enhanced the worthwhileness of the trip, its effect on students' willingness to consider working in the host country was relatively weak, compared with the effect of social support from HCNs.

The generalizability of the findings from this study may be limited to country pairs that are geographically and culturally similar.

Although it is commonly believed that STSA programs help inspire students to develop aspirations for international careers or lifestyles, the specific roles of various factors in their experiences abroad have not been sufficiently studied. This study aims to clarify the different effects between social support received, adaptation difficulties experienced, and inner acculturation attitudes on both the evaluation of the trip itself and the long-term life goals of students participating in STSA programs.