Central University of Finance and Economics

www.cufe.edu.cn
Nanlu, China

Central University of Finance and Economics , colloquially known in Chinese as Zhongcai (中财) or Yangcai and formerly as the Central Institute of Finance and Economics, is a university in Beijing, China. It is a Project 211 university which receives support from the Chinese central government. Wikipedia.

SEARCH FILTERS
Time filter
Source Type

News Article | May 19, 2017
Site: globenewswire.com

HONG KONG, May 19, 2017 (GLOBE NEWSWIRE) -- SPI Energy Co., Ltd. (“SPI Energy” or the “Company”) (NASDAQ:SPI), a global clean energy market place for business, residential, government and utility customers and investors, today announces the appointment of Ms. Lu Qing to its board of directors to replace Mr. Jeffrey Yunan Ren, who resigned as director of the Company on May 16, 2017. In addition Ms. Lu Qing has also been appointed by the board of directors of the Company to audit committee, compensation committee and nominating and corporate governance committee. Ms. Lu Qing is currently chief operating officer of WisePublic Asset Management Limited, where she manages daily operations, and acts as the special consultant to Peking Certified Public Accountants. Ms. Lu Qing has qualified experience in the finance, accounting, tax and legal fields. She served the head of internal audit of China Regenerative Medicine International Limited (8158 HK) from January 2013 to October 2015. Ms. Lu Qing also served as financial controller of Mainland China at Sing Tao News Corporation Limited (1105 HK) from May 2005 to May 2008. From February 1992 to March 2002, Ms. Lu Qing served as one of the major business partners and vice general manager at Peking Certified Public Accountants. Ms. Lu Qing received bachelor's degree in economics, major in accounting from Central University of Finance and Economics in June 1993, and a master’s degree in law from Peking University in January 2001. Ms. Lu Qing is also a Certified Tax Agents, Certified Public Valuer, and Certified Public Account in China. About SPI Energy Co., Ltd. SPI Energy Co., Ltd. is a global provider of photovoltaic (PV) solutions for business, residential, government and utility customers and investors. SPI Energy focuses on the downstream PV market including the development, financing, installation, operation and sale of utility-scale and residential solar power projects in China, Japan, Europe and North America. The Company operates an innovative online energy e-commerce and investment platform, www.solarbao.com, which enables individual and institutional investors to purchase innovative PV-based investment and other products; as well as www.solartao.com, a B2B e-commerce platform offering a range of PV products for both upstream and downstream suppliers and customers. The Company has its operating headquarters in Hong Kong and maintains global operations in Asia, Europe, North America and Australia. For additional information, please visit: www.spisolar.com This release contains certain “forward-looking statements.” These statements are forward-looking in nature and subject to risks and uncertainties that may cause actual results to differ materially. All forward-looking statements included in this release are based upon information available to the Company as of the date of this release, which may change, and the Company undertakes no obligation to update or revise any forward-looking statements, except as may be required under applicable securities law.


News Article | May 19, 2017
Site: globenewswire.com

HONG KONG, May 19, 2017 (GLOBE NEWSWIRE) -- SPI Energy Co., Ltd. (“SPI Energy” or the “Company”) (NASDAQ:SPI), a global clean energy market place for business, residential, government and utility customers and investors, today announces the appointment of Ms. Lu Qing to its board of directors to replace Mr. Jeffrey Yunan Ren, who resigned as director of the Company on May 16, 2017. In addition Ms. Lu Qing has also been appointed by the board of directors of the Company to audit committee, compensation committee and nominating and corporate governance committee. Ms. Lu Qing is currently chief operating officer of WisePublic Asset Management Limited, where she manages daily operations, and acts as the special consultant to Peking Certified Public Accountants. Ms. Lu Qing has qualified experience in the finance, accounting, tax and legal fields. She served the head of internal audit of China Regenerative Medicine International Limited (8158 HK) from January 2013 to October 2015. Ms. Lu Qing also served as financial controller of Mainland China at Sing Tao News Corporation Limited (1105 HK) from May 2005 to May 2008. From February 1992 to March 2002, Ms. Lu Qing served as one of the major business partners and vice general manager at Peking Certified Public Accountants. Ms. Lu Qing received bachelor's degree in economics, major in accounting from Central University of Finance and Economics in June 1993, and a master’s degree in law from Peking University in January 2001. Ms. Lu Qing is also a Certified Tax Agents, Certified Public Valuer, and Certified Public Account in China. About SPI Energy Co., Ltd. SPI Energy Co., Ltd. is a global provider of photovoltaic (PV) solutions for business, residential, government and utility customers and investors. SPI Energy focuses on the downstream PV market including the development, financing, installation, operation and sale of utility-scale and residential solar power projects in China, Japan, Europe and North America. The Company operates an innovative online energy e-commerce and investment platform, www.solarbao.com, which enables individual and institutional investors to purchase innovative PV-based investment and other products; as well as www.solartao.com, a B2B e-commerce platform offering a range of PV products for both upstream and downstream suppliers and customers. The Company has its operating headquarters in Hong Kong and maintains global operations in Asia, Europe, North America and Australia. For additional information, please visit: www.spisolar.com This release contains certain “forward-looking statements.” These statements are forward-looking in nature and subject to risks and uncertainties that may cause actual results to differ materially. All forward-looking statements included in this release are based upon information available to the Company as of the date of this release, which may change, and the Company undertakes no obligation to update or revise any forward-looking statements, except as may be required under applicable securities law.


Liu D.,Renmin University of China | Xin Z.,Central University of Finance and Economics
Journal of Research on Adolescence | Year: 2015

The present cross-temporal meta-analysis involving 68 studies (n = 35,499) found that Chinese adolescents' scores on the Rosenberg Self-Esteem Scale decreased substantially from 1996 to 2009. The decline of self-esteem across birth cohorts was associated with the slide of social connection level of Chinese adolescents. Correlations between self-esteem and corresponding social indicators like the floating population and divorce rate were significant. Analysis on self-esteem age differences showed that self-esteem development in China was different from Western results: self-esteem scores followed a roughly increasing trend from Grade 7 through Grade 12 with double dip points at Grades 7 and 11. © 2014 The Authors. Journal of Research on Adolescence. © 2014 Society for Research on Adolescence.


Grant
Agency: European Commission | Branch: FP7 | Program: CP-FP | Phase: SSH.2011.1.1-1 | Award Amount: 3.59M | Year: 2012

LLLightinEurope LifeLong Learning, Innovation, Growth and Human capital Tracks in Europe Among all Europeans between 24 and 65 years old who had a tertiary educational degree in 2010, 82.8% were working. In the same age group, 68.3% who completed secondary schooling were working. Only 46% of those who did not complete secondary schooling were working. It is apparent that if Europe wants to be working, higher education is the necessary foundation for being competitive in the labor market. Since this is not only true for generations of future workers currently in school, but equally so for those who are today in their 30s, 40s and 50s, Lifelong Learning must be essential to continued employability. The cumulative investment necessary to generate higher education degrees alone for adults over the next two decades across Europe may be 3.5 trillion euros or about 1.4% of European GDP per year. Even higher investments are required in non-formal and informal Lifelong Learning. To help guide this investment, this research project will find answers to the following urgent questions: 1. How do successful enterprises actively employ Lifelong Learning for their competitive advantage? 2. Which public policy environments facilitate Lifelong Learning for such enterprises and entrepreneurs? 3. How does Lifelong Learning interact with and promote innovativeness on the enterprise level? 4. How much of which skills do European adults actually have? 5. What are the actual learning mechanisms in adult life that lead to these skills? 6. What are the causal effects of these skills on growth, competitiveness and social cohesion? The research consortium includes nine universities and research institutes from four academic disciplines macro-econometrics, innovation dynamics, educational systems, psychometrics to establish empirically proven answers. All outputs of the project (models, reports and tools) are designed to guide, support and facilitate best practice and strategy among public policy officials, enterprise strategists, individual citizens and fellow scientists.


Zhang Z.-Y.,Central University of Finance and Economics
EPL | Year: 2013

Constrained clustering has been well-studied in the unsupervised learning society. However, how to encode constraints into community structure detection, within complex networks, remains a challenging problem. In this paper, we propose a semi-supervised learning framework for community structure detection. This framework implicitly encodes the must-link and cannot-link constraints by modifying the adjacency matrix of network, which can also be regarded as de-noising the consensus matrix of community structures. Our proposed method gives consideration to both the topology and the functions (background information) of complex network, which enhances the interpretability of the results. The comparisons performed on both the synthetic benchmarks and the real-world networks show that the proposed framework can significantly improve the community detection performance with few constraints, which makes it an attractive methodology in the analysis of complex networks. Copyright © EPLA, 2013.


Huang Z.-Y.,Central University of Finance and Economics
Energy and Buildings | Year: 2014

Many residential communities are claimed to be "intelligent", but their level of intelligence noticeably varies corresponding to the functionality and operational efficiency of the installed intelligent systems. This raises the need for having an effective and practicable method that would allow decision-makers to measure the degree of intelligence of one residential community against another. To achieve this objective, this paper elicits a general list of intelligence indicators of residential communities in China by means of system modeling as a base. Then, focusing in particular on the importance of these intelligence indicators' weights, this paper proposes a dynamic multi-strategic weighting method to facilitate the evaluation of intelligent residential communities. The analytic network process (ANP), entropy method and their combination are proposed as three weighting strategies to meet the need of evaluation at different stages of intelligent residential community's development in China. An experimental case study has been presented to demonstrate how to use the multi-strategic method to confront real-world design tasks. The research aims to provide a practical method to enable the evaluation of intelligent residential communities on more fair ground. © 2013 Elsevier B.V. All rights reserved.


Wang C.,Central University of Finance and Economics
Contraception | Year: 2012

Background: In China, contraception is the most commonly used practice adopted by couples seeking to limit their number of children and to determine the time interval between births. Since 1980, the implementation of mandatory contraceptive strategy has reduced the fertility rate. Using large-scale data from national statistics and nationally representative sample surveys, the current study aims to assess Chinese trends in contraceptive use and determinants of choice from 1980 to 2010 among married women and men aged 20-49 years. Study Design: Since 1980, national data on contraceptive methods utilization have been gathered by the National Population and Family Planning Commission of the People's Republic of China (NPFPC). Additionally, data from three roughly representative decennial samples (1988, 1997, 2006) of Chinese women of aged 20 to 57 years have been gathered by the NPFPC through the National Family Planning and Reproductive Health Surveys in China. Results: A relatively stable Chinese mode of contraception has been established and maintained since the 1980s. This is characterized by long-term contraceptive use which is still dominant in current China. In addition, China's total contraceptive prevalence rates remain at the highest level across the globe from 1980 to 2010. However, the overall method composition of contraceptive use within China has changed since the mid-1990s. Over the study period, the prevalence rate of sterilization increased from 30.21% in 1980 to 46.47% of married women of reproductive age (20-49 years) in 1994 and then declined to 31.7% in 2010. At the same time, intrauterine device usage increased (39.83% in 1980 to 48.15% in 2010), as did oral contraception (0.3% in 1980 to 0.98% in 2010) and condom usage (2.35% in 1980 to 9.32% in 2010). The results from the multinomial logit model show that an individual's contraceptive choice depends not only on individual characteristics, including ethnicity, age, education level, household registration, region, number of living children and sex of the last living child, but also on the strength of family planning policies. A positive coefficient indicates that the looser the strength of family planning policies is, the more likely the individual is to choose condoms or another short-term contraceptive method. Conclusions: Long-term contraceptive use is still dominant in China. In fact, over the 30-year period (1980-2010) and in comparative world perspective, China continues to have the highest total contraceptive prevalence rate. Additionally, an individual's contraceptive choice is jointly influenced by the strength of family planning policies and individual characteristics. © 2012 Elsevier Inc.


Wang C.,Central University of Finance and Economics
Contraception | Year: 2012

Background: China launched a nationwide family planning program offering birth control methods and family planning services in the 1970s. Promotion of the widespread use of long-term contraceptive methods has been one of the program's core strategies. This paper reviews the history of China's Family Planning Program at the national level from 1970 to 2010. Special attention is paid to the history of contraception policy. Study Design: This study provides an overview of the last four decades of the Chinese Family Planning Program. Programmatic goals are highlighted during different time periods, with special attention being paid to the role of contraceptive use and the history of contraceptive policy. Results: The Chinese Family Planning Program has experienced several transitions. It has evolved from the 1970s period of moderate policy, represented by wan, xi, shao (late marriage and childbearing, birth spacing and limited fertility), through the strict one-child policy of 1979 to the early 1990s. From the mid-1990s to the present, a relatively lenient policy has been in force, characterized by client-centered informed choice. Conclusions: The success of the Chinese Family Planning Program has long been heavily dependent on policies advocated by the central government, including programs promoting contraception to reduce fertility rates. The Program also depended on a logistical support system, including organizational safeguards and free provision of contraception and family planning services. © 2012 Elsevier Inc.


Zhong H.,Central University of Finance and Economics
Health Economics | Year: 2011

For most insurers, traditional methods of controlling health-care demand include deductibles, co-payments, stop-losses, and insurance ceilings. This paper examines the effect of the patient reimbursement method of health insurance (immediate reimbursement or later reimbursement) on individuals' health-care utilization decisions. We find that immediate reimbursement significantly increases the likelihood of patients seeking outpatient treatment in China. We also empirically explore the channels through which immediate reimbursement affects individual's incentives on health-care demand. Copyright © 2010 John Wiley & Sons, Ltd.


Tian Y.,Central University of Finance and Economics
Mathematical and Computer Modelling | Year: 2012

The inertia of a Hermitian matrix is defined to be a triplet composed by the numbers of the positive, negative and zero eigenvalues of the matrix counted with multiplicities, respectively. If we take the inertia and rank of a Hermitian matrix as objective functions, then they are neither differentiable nor smooth. In this case, maximizing and minimizing the inertia and rank of a Hermitian matrix function could be regarded as a continuous-integer optimization problem. In this paper, we use some pure algebraic operations of matrices and their generalized inverses to derive explicit expansion formulas for calculating the global maximum and minimum ranks and inertias of the linear Hermitian matrix function A+BXB + subject to some rank and definiteness restrictions on the variable matrix X. Various direct consequences of the formulas in characterizing algebraic properties of A+BXB + are also presented. In particular, solutions to a group of constrained optimization problems on the rank and inertia of a partially specified block Hermitian matrix are given. © 2011 Elsevier Ltd.

Loading Central University of Finance and Economics collaborators
Loading Central University of Finance and Economics collaborators