Time filter

Source Type

Jianshan, China

Located in the northeast of metropolitan Dalian, Dongbei University of Finance & Economics is one of oldest and largest modern universities in Dalian, and it is home to over 20,000 students. Today's DUFE is one of the top schools in the field in China, its graduates are occupying high-level positions in government and industries, especially in the banking and finance sectors. DUFE serves as a multidisciplinary, teaching-and-research-oriented university focusing on economics, management, law, arts, and science. It offers full-time as well as part-time education programs; for full-time programs, DUFE is now offering three first-level mobile stations for post-doctoral research—applied economics, theoretical economics and business administration; 42 PhD programs, 72 master’s degree programs, including MBA, MPA, MPAcc, J.M., etc. and 31 undergraduate programs. In all the disciplines, there are two key state-sponsored disciplines—industrial economics and public finance ; one key state-supported disciplines—quantitative economics; and three state-level majors with their own characteristic—accounting, finance and business administration. Wikipedia.

Xia Y.,Dongbei University of Finance and Economics
International Journal of Global Warming | Year: 2012

Based on the input-output tables of Liaoning Province of China for 2007, this paper calculates direct and indirect CO2 emissions from the service sector. Total CO2 emissions of the service sector are decomposed into several effects, of which the spill-over and feedback effects are further decomposed into two parts: Energy Spill-over Effect (ESE) and Remnant Spill-over Effect (RSE); energy feedback effect and remnant feedback effect. The research shows indirect CO2 emissions derived from final demand of the service sector are far more than direct CO2 emissions, the main cause of which is the spill-over effect due to the strong pull effect of the service sector on other sectors. A further decomposition into the ESE reveals that the electricity and heating sector accounts for the largest percentage, with the coal-mining and washing sector second. Copyright © 2012 Inderscience Enterprises Ltd.

Wang Z.,Dongbei University of Finance and Economics | Gu D.,University of Essex
IEEE Transactions on Industrial Electronics | Year: 2012

This paper focuses on the problem of moving target tracking with a group of mobile robots. Each robot in the group has a pan/tilt camera to detect the target and has limited communication capability to communicate with neighbor robots. The problem is solved by separating it into two parts. One part is the estimation of target position and another is the flocking control of multiple robots moving toward the estimated position. In the target estimation part, we propose to use a novel distributed Kalman filter to estimate the target position. The distributed Kalman filter is deduced based on a standard Kalman filter by modeling the neighbor's information as one of measurements. In the motion control part, a distributed flocking algorithm is developed. It is used to track the estimated target and avoid collision. In both parts, only local communication between neighbor robots is required. Finally, the tracking algorithms are simulated with 2-D and 3-D robots to verify their performance. The simulation results provide a firm conclusion that the proposed algorithms are able to track a moving target. A group of real ground mobile robots is used to test the proposed algorithm. The experiment results show that multiple robots are able to cooperate to track the target under the proposed algorithms and the tracking result outperforms the result produced by individual robots without cooperation. © 2012 IEEE.

Hou Y.,Dongbei University of Finance and Economics
Environmental Monitoring and Assessment | Year: 2012

Along with their rapid progress, developing countries have had to deal with more environmental problems, which have been a cause for concern among policy makers and the public in general. This study cites two accidents that happened in China in 2006 that caused serious environmental problems in nearby communities and discusses the problems these accidents created and the resulting disputes among the concerned people. Pollution-causing accidents not only pose threats to the health of the victims but also give rise to environmental disputes that jeopardise national security and social stability. Conflicts normally ensue following a pollution-causing accident, which are more likely to happen within a development zone or industrial park. Few environmental conflicts in the past decades were resolved through litigation. Nevertheless, there are lapses in the regulatory system, which have to be addressed to ensure that the public's rights and interests are protected. Currently, reports on pollution-causing accidents are difficult to obtain and are often released very late. A majority of industrial firms operate without environmental clearance, thus highlighting the government's inefficiency in environmental management. It is about time that the Chinese government takes seriously the use of the Environmental Impact Assessment. © Springer Science+Business Media B.V. 2011.

Wang X.,Dongbei University of Finance and Economics
Social Science Computer Review | Year: 2014

People increasingly rely on social network sites (SNSs) to find out timely information about crises. Thus, emergency managers are interested in how people participate and how to promote their participation in SNSs after crises. Based on self-determination theory, this study develops a theoretical model to examine the mechanisms through which different types of motivation contribute to various participating behaviors in SNSs after crises. Survey data were collected after the Ya’an earthquake, which occurred in China on April 20, 2013. Our results show that while autonomous motivation is positively related to posting new content about the earthquake, controlled motivation is positively related to commenting on others’ content about the earthquake. Furthermore, perceived autonomy and perceived relatedness are positively related to autonomous motivation. We suggest that emergency managers may want to promote different types of motivations, depending on the specific participating behavior preferred after crises. © The Author(s) 2014.

Bai C.,Dongbei University of Finance and Economics | Sarkis J.,Clark University
Journal of Cleaner Production | Year: 2013

Reverse logistics (or the reverse supply chain) features greater relative uncertainty when compared to forward logistics and supply chain flows. An effective way to manage uncertainty and variance in operational and organizational systems is by introducing greater flexibility. The literature on flexibility in reverse logistics is surprisingly sparse, with an explicit focus on flexibility in reverse logistics nonexistent in the literature. To address this gap in the literature, and building upon literature in supply chain flexibility, we introduce a reverse logistics flexibility framework. The framework is separated into operational and strategic flexibilities. Operational flexibility includes a variety of dimensions such as product and volume flexibility across various reverse logistics operational functions. We have also included strategic flexibility categorized into network and organizational design flexibility dimensions. Additional sub-dimensions are also included in the framework. The framework is useful for practical managerial decision making purposes such as process improvement or programmatic evaluation. The framework is also useful as a theoretical construct for reverse logistics empirical research. To exemplify the practical utility of the framework we introduce a performance evaluation of third party reverse logistics providers model using a novel neighborhood rough set approach. Using illustrative data, sensitivity results help evaluate the neighborhood rough set technique's robustness with various reverse logistics performance factors. This paper sets the foundation for significant future research in reverse logistics flexibility. © 2013 Elsevier Ltd. All rights reserved.

Discover hidden collaborations