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Beijing, China

Renmin University of China; RUC, also known as People's University of China , colloquially Renda , is a major research university in Haidian District, Beijing. Its campus neighbors those of Peking University and Tsinghua University.Renmin University is one of the most prestigious universities in China, with a distinct focus on humanities and social science. Renmin University has produced many influential figures in China's reform and development, and is home to many outstanding scholars in law, economics, journalism and other fields. As measured by admission scores of China's National Higher Education Entrance Examination, Renmin University has consistently ranked among the top three most selective Chinese universities in the liberal arts and social science division.The High School Affiliated to Renmin University of China is one of the most prestigious high schools in Beijing, and a sister school of Phillips Academy in Massachusetts, Phillips Exeter Academy in New Hampshire and Punahou Academy in Honolulu. Wikipedia.

A large amount of literature on China's energy intensity seldom considers the regional differences of energy intensity inside China and the spatial effects. Based on spatial statistics methods, this paper explores the regional imbalance of China's provincial energy intensity and the spatially correlation of energy intensity among provinces. Using spatial panel data models, this paper finds that GDP per capita, transportation infrastructure, the level of marketization, and scientific and technological input significantly reduce the energy intensity; the ratio of heavy industries to total industries and the ratio of coal consumption to total energy consumption significantly expand the energy intensity; meanwhile, the coefficient of the ratio of export to GDP is not significant. Then, the spillover and convergence of China's regional energy intensity have been tested. The results indicate that the spillover effect between the eastern and western China is remarkable, and there exist absolute Β-convergence of provincial energy intensity. Moreover, GDP per capita, transportation infrastructure, the level of marketization and scientific & technological input are conducive to conditional convergence after the spatial effects are controlled. According to the empirical results, this paper proposes some policy suggestions on reducing China's energy intensity. © 2012 Elsevier Ltd. Source

Normand B.,Renmin University of China
Physical Review B - Condensed Matter and Materials Physics | Year: 2011

The spin-orbital model for triply degenerate t2g electrons on a triangular lattice has been shown to be dominated by dimers. The phase diagram contains both strongly resonating, compound spin-orbital dimer states and quasistatic, spin-singlet valence-bond (VB) states. To elucidate the nature of the true ground state in these different regimes, the model is mapped to a number of quantum dimer models (QDMs), each of which has three dimer colors. The generic multicolored QDM, illustrated for the two- and three-color cases, possesses a topological color structure, "color vison" excitations, and broad regions of resonating VB phases. The specific models are analyzed to gain further insight into the likely ground states in the superexchange and direct-exchange limits of the electronic Hamiltonian, and they suggest a strong tendency toward VB order in all cases. © 2011 American Physical Society. Source

How to deal with the contradiction between mass production effects and customised demand is the key problem of mass customisation (MC). With the development of supply chain management, we can probe a new way to solve this problem through the excellent character of supply chain scheduling (SCS). However, SCS in MC has special characters, mainly reflected in the random information of customer orders and the outstanding collaborative benefits and risks which can cause many complicated contradictions in operation. Based on earlier work about solving these contradictions, this paper introduces the collaborative benefit and risk analysis into scheduling and emphasises it not only for short-term but also for long-term collaboration. A dynamic and multi-objective optimisation model and an algorithm are set up for the scheduling optimisation of co-operator selection and task allocation. The model and algorithm not only reflect the operating requirements for the scheduling selection process in MC, but also reflect the thought of solving the key problem in MC and give consideration to the collaborative benefits and risks. The application feasibility of the model and algorithm are ultimately validated through an application case study. © 2013 Taylor & Francis Group, LLC. Source

This article presents two studies that investigate what specifically constitutes perceived value of a CSA working share (PVWS) and how they relate to the PVWS construct. The first study conducts in-depth interviews with 46 working share members to uncover the distinct dimensions of the PVWS. The second study uses exploratory factor analysis (EFA) and partial least squares (PLSs) on survey data from 129 working share members to empirically examine the dimensionality and the nature of the relationship between the dimensions and the PVWS construct. The findings indicate that the PVWS construct conforms to the structure of a formative second-order factor model consisting of five dimensions: functional value, emotional value, social value, epistemic value, and educational value for children. Managerial implications for CSA farmers and research implications of the findings are discussed. © 2012 Elsevier Ltd. Source

Liu Z.-W.,Renmin University of China
European Physical Journal C | Year: 2015

In this paper we study the supersymmetric generalization of the new soft theorem which was proposed by Cachazo and Strominger recently. At tree level, we prove the validity of the super soft theorems in both (Formula Presented.) super-Yang-Mills theory and (Formula Presented.) supergravity using super-BCFW recursion relations. We verify these theorems exactly by showing some examples. © 2015, The Author(s). Source

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