The strategic development of chinese state-owned cnterprises: the case of a chemical company

JEL: L11, M11This thesis, taking Luzhou North Chemical Industry Co., Ltd as the case company for extensive research, identifies key determinants for strategic choice of diversification based on theories including enterprise development strategy, industry value chain and diversification strategy. Then based on the determinants identified, it conducts a detailed analysis on the value creation capability of the case company’s SBUs and builds an industry value chain-based diversification framework for state-owned military chemical enterprises. Finally, from two perspectives— natural selection mechanism and learning & adaptation mechanism, the thesis sums up the selection mechanism for industry value chain-based diversification of China’s state-owned military chemical enterprises.A presente tese, que tem a empresa Luzhou North Chemical Industry como estudo de caso de investigação, identifica os determinantes chave da escolha estratégica para diversificação com base no quadro teórico que inclui a estratégia de desenvolvimento da empresa, cadeia de valor industrial e estratégia de diversificação. Então, com base nos determinantes identificados, conduz-se à análise detalhada da capacidade de criação de valor da unidade estratégica de negócio da empresa analisada e constrói uma cadeia de valor com base na estrutura de diversificação para a empresa pública de produtos químicos. Finalmente, a partir de duas perspectivas- o mecanisco de selecção natural e o mecaniscmo de aprendizado e adaptação, a tese soma ao mecanismo de selecção para a cadiea de valor com base na diversificação de empresas estatais Chinesas do sector químico

Quantum Control of Light through an Atom-Molecule Dark State

We propose to use a quantized version of coherent two-color photoassociation to realize a hybrid device for quantum control of light. The dynamical features of this system are exhibited, including the slowing down or storage of light and the molecular matter-wave solitons. This may indicate a hybrid atom-molecule quantum device for storage and retrieve of optical information.Comment: with several detailed derivations in comparison with the published version Phys. Rev. A 80, 025601 (2009)

An Optimal Allocation Model of Public Transit Mode Proportion for the Low-Carbon Transportation

Public transit has been widely recognized as a potential way to develop low-carbon transportation. In this paper, an optimal allocation model of public transit mode proportion (MPMP) has been built to achieve the low-carbon public transit. Optimal ratios of passenger traffic for rail, bus, and taxi are derived by running the model using typical data. With different values of traffic demand, construction cost, travel time, and accessibilities, MPMP can generate corresponding optimal ratios, benefiting decision impacts analysis and decision makers. Instead of considering public transit as a united system, it is separated into units in this paper. And Shanghai is used to test model validity and practicality

Fast parameter estimation in loss tomography for networks of general topology

As a technique to investigate link-level loss rates of a computer network with low operational cost, loss tomography has received considerable attentions in recent years. A number of parameter estimation methods have been proposed for loss tomography of networks with a tree structure as well as a general topological structure. However, these methods suffer from either high computational cost or insufficient use of information in the data. In this paper, we provide both theoretical results and practical algorithms for parameter estimation in loss tomography. By introducing a group of novel statistics and alternative parameter systems, we find that the likelihood function of the observed data from loss tomography keeps exactly the same mathematical formulation for tree and general topologies, revealing that networks with different topologies share the same mathematical nature for loss tomography. More importantly, we discover that a reparametrization of the likelihood function belongs to the standard exponential family, which is convex and has a unique mode under regularity conditions. Based on these theoretical results, novel algorithms to find the MLE are developed. Compared to existing methods in the literature, the proposed methods enjoy great computational advantages.Statistic

Effect of size of catalytically active phases in the dehydrogenation of alcohols and the challenging selective oxidation of hydrocarbons

The size of the active phase is one of the most important factors in determining the catalytic behaviour of a heterogeneous catalyst. This Feature Article focuses on the size effects in two types of reactions, i.e., the metal nanoparticle-catalysed dehydrogenation of alcohols and the metal oxide nanocluster-catalysed selective oxidation of hydrocarbons (including the selective oxidation of methane and ethane and the epoxidation of propylene). For Pd or Au nanoparticle-catalysed oxidative or non-oxidative dehydrogenation of alcohols, the size of metal nanoparticles mainly controls the catalytic activity by affecting the activation of reactants (either alcohol or O(2)). The size of oxidic molybdenum species loaded on SBA-15 determines not only the activity but also the selectivity of oxygenates in the selective oxidation of ethane; highly dispersed molybdenum species are suitable for acetaldehyde formation, while molybdenum oxide nanoparticles exhibit higher formaldehyde selectivity. Cu(II) and Fe(III) isolated on mesoporous silica are highly efficient for the selective oxidation of methane to formaldehyde, while the corresponding oxide clusters mainly catalyse the complete oxidation of methane. The lattice oxygen in iron or copper oxide clusters is responsible for the complete oxidation, while the isolated Cu(I) or Fe(II) generated during the reaction can activate molecular oxygen forming active oxygen species for the selective oxidation of methane. Highly dispersed Cu(I) and Fe(II) species also function for the epoxidation of propylene by O(2) and N(2)O, respectively. Alkali metal ions work as promoters for the epoxidation of propylene by enhancing the dispersion of copper or iron species and weakening the acidity.National Natural Science Foundation of China[20625310, 20773099, 20873110, 20923004, 21033006]; National Basic Research Program of China[2010CB732303

Acid-catalysed direct transformation of cellulose into methyl glucosides in methanol at moderate temperatures

Cellulose can be transformed into methyl glucosides in methanol with yields of 50-60% in the presence of several acid catalysts under mild conditions (<= 473 K); H3PW12O40 provides the highest turnover number (similar to 73 in 0.5 h) for the formation of methyl glucosides among many acid catalysts examined.NSF of China [20625310, 20873110, 20923004]; National Basic Program of China [2010CB732303, 2005CB221408]; Key Scientific Project of Fujian Province [2009HZ0002-1