Search results

This paper aims to investigate the interconnections between corporate ownership, tax system and controlling shareholder tunneling through intercorporate loans in an emerging market setting.

China’s Enterprises Income Tax reform in 2008 abolished its previous multiple-tiers tax system under which foreign direct investment (FDI) firms enjoyed preferential tax rates than domestic firms by introducing a new unified-rate tax system. Using difference-in-differences tests, the author analyzes changes of controlling shareholders tunneling through intercorporate loans among Chinese listed companies around this reform.

The author documents significant reductions of intercorporate loans after the reform. More importantly, the author reveals that foreign-invested firms experienced larger reductions of intercorporate loans than domestic firms. The author also shows that state association matters for domestic firms’ response to the reform. In addition, the author documents positive stock market reaction to the tax reform announcement for firms that exhibited higher level of tunneling prior to the reform, indicating market expectation of reduced principal-principal conflict post-reform.

The findings suggest effective corporate governance system is warranted to constrain intercorporate fund transfers in emerging markets where tax incentives are used for attracting inward foreign direct investments. Institutional reforms in emerging markets aimed at removing market frictions can alleviate the problem of controlling shareholder expropriations of minority interests or tunneling.

This is a pioneering study that reveals the role of tax as a public governance mechanism in weak minority investor protection environment.

We model transitions between unemployment, low-paid and high-paid employment by British men using a first order Markov model with endogenous switching that also takes into account the endogeneity of initial conditions, selection into employment, and sample attrition. Our estimates indicate that all three selectivity issues are non-ignorable. We demonstrate several interrelationships between the dynamics of (un)employment and low-paid work between one year and the next, represented by forms of (cross-)state dependence. Controlling for heterogeneity, the probability of a man having a low-paid job in one year depends not only whether he had a job a year before but also whether that job was low paid. The probability of his being employed at all depends on whether he had a job the previous year.

This paper aims to present an approach based on electrical impedance tomography spectroscopy (EITS) for the determination of water and ice fraction in low-power applications such as autarkic wireless sensors, which require a low computational complexity reconstruction approach and a low number of electrodes. This paper also investigates how the electrode design can affect the reconstruction results in tomography.

EITS is performed by using a non-iterative method called optimal first order approximation. In addition to that, a planar electrode geometry is used instead of the traditional circular electrode geometry. Such a structure allows the system to identify materials placed on the region above the sensor, which do not need to be confined in a pipe. For the optimization, the mean squared error (MSE) between the reference images and the obtained reconstructed images was calculated.

The authors demonstrate that even with a low number of four electrodes and a low complexity reconstruction algorithm, a reasonable reconstruction of water and ice fractions is possible. Furthermore, it is shown that an optimal distribution of the sensor electrodes can help to reduce the MSE without any costs in terms of computational complexity or power consumption.

This paper shows through simulations that the reconstruction of ice and water mixtures is possible and that the electrode design is a topic of great importance, as they can significantly affect the reconstruction results.

This paper aims to introduce an aircraft engine inspection robot (AEIR) which can go in the internal of the aircraft engine without collision and detect damage for engine blades.

To obtain the position and pose information of the blades inside the engine, a novel tactile sensor based on electrical impedance tomography (EIT) is developed, which could provide location and direction information when it contacts with an unknown object. In addition, to navigate the continuum robot, a control method is proposed to control the continuum robot, which can control the continuum robot to move along the pre-planned path and reduce the deviation from the planned path.

Experiment results show that the average error of contact location measurement of the tactile sensor is 0.8 mm. The average error relative to the size (diameter of 18 mm) of the sensor is 4.4%. The continuum robot can successfully reach the target position through a gap of 30 mm and realize the spatial positioning of blades. The validity of the AEIR for engine internal blade detection is verified.

The aero-engine inspection robot developed in this paper can replace human to detect engine blades and complete different detection tasks with different kinds of sensors.

The purpose of this paper is to model radiation ovens and to propose a method capable of designing this kind of oven for the paint curing application. Providing a uniform cure condition on the body, especially bodies of complicated geometries, needs accurately‐designed ovens. An algorithm with high speed and high convergence capability is the most serious requirement for designing ovens of this kind.

In this paper, the state of the art in dynamic optimisation of radiation paint cure ovens is reviewed and a novel objective function, based on paint cure window, is proposed to be applied for designing radiation ovens. It has been shown that the proper definition of the objective function in such problems makes the mathematical model more robust and hence facilitates the convergence of the design iterations.

The computational results provide some information regarding the design space topology and show that the proposed objective function speeds up the convergence of the design procedure by an order of magnitude as compared to the currently used industrial‐standard objective function.

Determination of curing condition is an important requirement for designing a new oven or changing the working condition of an existing oven. In this research, a practical method is proposed for improving design procedure of cure ovens to make the method both time and cost efficient. The method is specifically implemented on paint cure ovens.

The quality of cured paint is usually a prominent issue that directly takes influence from the curing condition of ovens. For the complex geometries of curing body in commonly designed ovens, some areas are not properly cured or may be burnt. This issue is a significant defect in coating industry. Designing ovens with the proposed method in this paper guaranties the provided curing condition by the oven and therefore the curing quality.

This paper aims to describe a variety of accessibility initiatives implemented at the Michigan State University (MSU) Libraries to better support persons with disabilities who want to use and access library services and resources.

By using two campus accessibility policies to help expand and improve its accessibility efforts, the MSU Libraries implemented accessibility purchasing procedures for e-resources; drafted a five-year accessibility plan, which launched an extensive multi-year staff accessibility training plan and detailed plans for content accessibility and accessibility investment; dedicated additional library staff positions and time to accessibility; drafted an accessibility statement and website documentation; established an in-house remediation service; increased library web page and collection remediation; and began leading efforts related to vendor e-resource accessibility in the Big Ten Academic Alliance library consortium.

As a result of these many accessibility initiatives, the MSU Libraries has thought strategically about and taken action on constantly improving its accessibility in a variety of areas; provided or hosted 29 staff accessibility training sessions; implemented new accessibility positions, roles and services; and helped influence and improve library e-resource accessibility, especially through its leadership in the Big Ten library consortium.

Most libraries strive to provide welcoming access to information and library services for all users, including persons with disabilities, but resources and literature on comprehensive accessibility initiatives in academic libraries are somewhat limited. The library accessibility initiatives implemented by a large, academic research library shared in this paper will hopefully contribute to the much-needed library and information science literature on this topic.

Electrical impedance tomography (EIT) is a non‐invasive method to monitor conductivity changes in regions of the human body. Its robust, miniaturizable instrumentation makes EIT particularly suitable for online‐monitoring without too much inconvenience for the patient. A major methodological problem is the poor quality of the conductivity images, which is due to the low spatial resolution and low sensitivity for structures far away from the object’s surface as well as large qualitative errors in the reconstructed conductivity values. This paper outlines the advantages of multi‐frequency EIT for a simple two‐dimensional model. In the first part of the paper we assume that some a priori information from MR images is at hand, providing good starting values for the reconstruction process, while in the second part it is assumed that no a priori information about regions of different material values is available.

The paper aims to present an innovative solution for evaluation study of the dampness level of walls and historical buildings.

Electrical tomography enables one to obtain a distribution pattern of wall dampness. The application of modern tomographic techniques in conjunction with topological algorithms will allow one to perform very accurate spatial assessment of the dampness levels of buildings. The proposed application uses the total variation, Gauss–Newton and level set method to solve the inverse problem in electrical tomography.

Research shows that electrical tomography can provide effective results in damp buildings. This method can provide 2D/3D moisture distribution pattern.

The impact of this technique will be limited to inspection of the facility after floods or assessment of historical buildings.

The presented method could eventually lead to a much more effective evaluation of moisture in the walls.

The solution has commercial potential and could result in more cost-effective monitoring of historical buildings, which have an economic impact on society.

The authors propose a system for imaging spatial moistness of walls and historic buildings based on electrical tomography and consisting of a measuring device, sensors and image reconstruction algorithms.