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With China’s economic growth slowing down and the growth rate of fiscal revenue decreasing, the pressure on local government debts is further increasing. Under this background, it is of great significance to clarify the relation between local government debts and China’s economic growth in order to give full play to the positive role of local debts in stabling growth. The paper aims to discuss this issue.

Therefore, this paper explores the impact of Chinese local government debt on economic growth from theoretical and empirical aspects, respectively, and compares the regional differences between different debts and economic growth dynamics.

In the theoretical model part, this paper constructs a three-sector dynamic game model, under the two circumstances of whether local government is subject to debt constraints, and examines the relation between local government debt and economic growth and other variables through numerical simulation. Research shows that when the government is not constrained by debt, there is an inverted “U” relation between government debt and economic growth. When the government is constrained by debt, the economic growth rate gradually decreases as the government debt increases.

In the theoretical analysis part, this paper tries to estimate the amount of local debts under different calibers and examines the impact of different types of local government debts on China’s economic growth and their regional differences. The results show that excessive accumulation of government hidden debts in the eastern region is not conducive to economic growth, while explicit debts in the central and western regions significantly contribute to local economic growth. The results of empirical analysis are basically consistent with the predictions of the theoretical model.

Political factors play a crucial role in China's initial public offering (IPO) market due to its distinctive institutional context (i.e. “economic decentralization” and “political centralization”). Given the significant level of IPO underpricing in China, we examine the impact of local political uncertainty (measured by prefecture-level city official turnover rate) on IPO underpricing.

Using 2,259 IPOs of A-share listed companies from 2001 to 2019, we employ a structural equation model (SEM) to examine the channel (voluntarily lower the issuance price vs aftermarket trading) through which political uncertainty affects IPO underpricing. We check the robustness of the results using bootstrap tests, adopting alternative proxies for political uncertainty and IPO underpricing and employing subsample analysis.

Local official turnover-induced political uncertainty increases IPO underpricing by IPO firms voluntarily reducing the issuance price rather than by affecting investor sentiment in aftermarket trading. These relations are stronger in firms with pre-IPO political connections. The effect of political uncertainty on IPO underpricing is also contingent upon the industry and the growth phase of an IPO firm, more pronounced in politically sensitive industries and firms listed on the growth enterprise market board.

Local government officials in China usually have a short tenure and Chinese firms witness significantly severe IPO underpricing. By introducing the SEM model in studying China IPO underpricing, this study identifies the channel through which local government official turnover to political uncertainty on IPO underpricing.

This study aims to increase the understanding of the starting points and presuppositions of organizational learning (OL) processes in a hospital’s surgical department based on the existing theory of OL and to make visible the practical possibilities of the theory in this context.

The study was conducted as a case study. The data were collected from personnel of the hospital’s surgical department and consisted of 26 thematic interviews. The data were analyzed using qualitative theory-driven content analysis.

This study found different starting points for both employee-oriented and organization-oriented learning processes that could potentially progress to different levels of the organization: from individuals to a wider group or from a large group to an individual. The starting point of employee-oriented learning processes was depicted as everyday life problems or situations or was based on the person’s interest. The starting points of organization-oriented learning processes were described as achieving or maintaining the organization’s expected skill levels, pursuing continuous development or pursuing the organization’s specific development needs. Different kinds of presuppositions were also located within the OL processes.

This study produced new practice-based knowledge about the starting points of OL processes and their presuppositions. In health-care organizations, learning is especially important due to intensive and complex changes, and this study provides empirical evidence on how to enhance learning.

Digital inclusive finance has a positive promotion effect on the development of the national economy, but little research exists on how digital inclusive finance affects high-quality consumption in economically developed regions. Therefore, to fill the gap, this paper aims to study the impact of digital inclusive finance on high-quality consumption development using the economically developed regions of Jiangsu, Zhejiang and Shanghai as examples.

Firstly, the entropy method is used to construct the index of high-quality consumption among residents. Then, the municipal-level data of Jiangsu, Zhejiang and Shanghai from 2011 to 2020 are used to test the impact. Subsequently, the mechanism of action test and heterogeneity analysis are conducted.

The results show that digital inclusive finance has a positive role in promoting the high-quality consumption of residents in Jiangsu, Zhejiang and Shanghai. At the same time, digital inclusive finance can promote high-quality consumption through its own digital payment and internet insurance channels. There is regional heterogeneity in the impact.

To the best of the authors’ knowledge, this study is the first to examine whether and how digital inclusive finance affects high-quality consumption. The authors consider multiple dimensions, such as consumption level, consumption structure, consumption ability, consumption environment and consumption mode, to measure high-quality consumption. The findings provide valuable insights for policymakers, investors and regulators in planning regulations.

The purposes of this paper are to analyze whether digital finance can contribute to enterprises' innovation performance and to determine the mediating effect of government subsidies.

This paper empirically examines the impacts of digital finance on enterprises' innovation performance by looking at Chinese companies listed on the SME and GEM boards from 2011 to 2018 to build an econometric model to test our hypotheses. The mediating effect of government subsidies, the moderating effect of financial constraints are examined, as well as shareholding of the largest shareholders in each selected company and the asset-liability ratio.

The results show that digital finance has a significant promotional effect on firms' innovation performance and that government subsidies play a partial mediating role in digital finance's contribution to firms' innovation performance. In addition, financial constraints and the shareholding of the largest shareholders in each selected company have a negative moderating effect on the relationship between government subsidies and firms' innovation performance. On the contrary, the asset-liability ratio is found to positively affect the relationship.

There has been limited research to date on the relationship between digital finance and firms' innovation performance, particularly with regard to the extent to which digital finance can influence innovation performance and the mechanisms for doing so. Therefore, it is of great significance to examine the relationship between digital finance and enterprises' innovation performance, which can also provide guidance for both the Chinese government and enterprises.

The purpose of this study is to categorize perfectionism and determine how perfectionism impacts the occupations and perceived health of students in a Bachelor of Science in Occupational Science program.

A descriptive study with a survey component was conducted. Participants were categorized as perfectionists or non-perfectionists using the Almost Perfect Scale-Revised (APS-R). Time logs were collected to compare categories of time-use between groups over a one-week period. An online survey was conducted with a sub-sample of the perfectionists.

More students were categorized as perfectionists (N = 41) than non-perfectionists (N = 3). Both groups spent similar amounts of time engaged in productive, pleasurable and restorative occupations. Some perfectionists reported that perfectionism supported health, but others reported negative impacts on well-being.

This study included a small sample size limited to one Occupational Science program in the USA.

Results demonstrated positive and negative health impacts because of perfectionism. The majority of participants were identified as perfectionists; rigorous academic programs may attract students with perfectionistic qualities. Findings are relevant for Occupational Therapy, as these students will become future occupational therapists after completing a Master’s program in Occupational Therapy and may be susceptible to negative outcomes associated with perfectionism such as workaholism and poor health.

The purpose of this study is to examine how informational faultlines on a board affect the management of knowledge owned by directors and the consequences on organizational performance. In this study, informational faultlines are defined as hypothetical lines that divide a group into relatively homogeneous subgroups based on the alignment of several informational attributes among board members.

The study uses unique hand-collected panel data covering 7,247 board members at 106 publicly traded firms to provide strong support for the hypothesized U-shaped relationship. The authors use a fixed effects approach and a system generalized method of moments approach to test the hypothesis.

The study finds that the relationship between informational faultlines on a board and organizational performance is U shaped, with the least optimal organizational performance experienced when boards have moderate informational faultlines. More specifically, informational faultlines within boards are negatively related to organizational performance across the weak-to-moderate range of informational faultlines and positively related to organizational performance across the moderate-to-strong range.

By explaining the mechanisms through which informational faultlines are related to organizational performance, the authors contribute to the literature in a number of ways. By conceptualizing how the management of knowledge plays an important role in the particular setting of corporate boards, the authors add not only to literature on knowledge management but also to the faultline and corporate governance literature.

This study offers a rationale for prior mixed findings by providing an alternative theoretical basis to explain the effect of informational faultlines within boards on organizational performance. To advance the field, the authors build on the concept of knowledge demonstrability to illuminate how informational faultlines affect the management of knowledge within boards, which will translate to organizational performance.

The purpose of this paper is to reduce the difficulty of model predictive control (MPC) deployment on FPGA so that researchers can make better use of FPGA technology for academic research.

In this paper, the MPC algorithm is written into FPGA by combining hardware with software. Experiments have verified this method.

This paper implements a ZYNQ-based design method, which could significantly reduce the difficulty of development. The comparison with the CPU solution results proves that FPGA has a significant acceleration effect on the solution of MPC through the method.

Due to the limitation of practical conditions, this paper cannot carry out a hardware-in-the-loop experiment for the time being, instead of an open-loop experiment.

This paper proposes a new design method to deploy the MPC algorithm to the FPGA, reducing the development difficulty of the algorithm implementation on FPGA. It greatly facilitates researchers in the field of autonomous driving to carry out FPGA algorithm hardware acceleration research.

This paper aims to use active fine lane management methods to solve the problem of congestion in a weaving area and provide theoretical and technical support for traffic control under the environment of intelligent connected vehicles (ICVs) in the future.

By analyzing the traffic capacities and traffic behaviors of domestic and foreign weaving areas and combining them with field investigation, the paper proposes the active and fine lane management methods for ICVs to optimal driving behavior in a weaving area. The VISSIM simulation of traffic flow vehicle driving behavior in weaving areas of urban expressways was performed using research data. The influence of lane-changing in advance on the weaving area was evaluated and a conflict avoidance area was established in the weaving area. The active fine lane management methods applied to a weaving area were verified for different scenarios.

The results of the study indicate that ICVs complete their lane changes before they reach a weaving area, their time in the weaving area does not exceed the specified time and the delay of vehicles that pass through the weaving area decreases.

Based on the vehicle group behavior, this paper conducts a simulation study on the active traffic management control-oriented to ICVs. The research results can optimize the management of lanes, improve the traffic capacity of a weaving area and mitigate traffic congestion on expressways.