Investigating China’s Mid-Yangtze River economic growth region using a spatial network growth model

China’s Mid-Yangtze River city region (MYR) has been designated as a national strategic growth region intended to reverse the slow-down in economic transition. However, there has been a lack of attention to the internal spatial organization of the region’s growth capacity associated with its inter-city relations. This article combines an urban network approach and a spatial econometric framework to not only examine the local contribution to growth of MYR cities’ indigenous factors, cross-territorial flows and positions in the regional capital network, but also estimate their spatial spillovers. The analysis sheds light on the interplay between spatial proximity and network capital in the regional growth process. Recent growth is found to be significantly influenced by indigenous capital stock, labor cost and technological advances, by commodity and self-investment flows, and by ‘authority’ and ‘hub’ network capital, associated with coexisting endogenous and exogenous spillovers. The findings infer that institutional capacity in organizing endowment mobilities will be important for policy to promote coordinated development

RESEARCH OF LOCAL GOVERNMENT BEHAVIOR IN ECO-TECHNOLOGICAL INNOVATION PROCESS

The formation of Eco-technological Innovation comes from the rational introspect of conflicts between economy growth and destruction of ecosystem in traditional technology innovation. By considering the mutual relations and interactions, the innovation regards economic activities, natural ecosystem, social ecosystem and spiritual ecosystem of human as an organic system, at the same time considers the mutual relations and interactions of them. In order to make technological innovation good for environmental protection, healthy existence of human as well as social harmony, the innovation, it takes the protection and reconstruction of natural ecosystem as premise and the harmonious development of economic social ecosystem as the target. This thesis begins from the economics characteristics analysis of enterprise eco-technological innovation and discusses the Characteristics of Sunk Cost, Externality and Public Goods in the process of eco-technological innovation. Market failure exists in consequence and the solution is the guidance and support from all levels of government. The thesis substitutes the Multiple Target Function of Local Government into Cournot Equilibrium and Beicrand Equilibrium to study how the local government behaviors can influence the enterprise eco-technological innovation process. Key words: Economic Behavior, Eco-technological Innovation, Local Government Behavior, Coevolutio

Spin-1/2 XYZ model revisit: general solutions via off-diagonal Bethe ansatz

The spin-1/2 XYZ model with both periodic and anti-periodic boundary conditions is studied via the off-diagonal Bethe ansatz method. The exact spectra of the Hamiltonians and the Bethe ansatz equations are derived by constructing the inhomogeneous T-Q relations, which allow us to treat both the even N (the number of lattice sites) and odd N cases simultaneously in an unified approach.Comment: 20 pages, 3 tables, published version, numerical check is adde

Exact solution of the spin-s Heisenberg chain with generic non-diagonal boundaries

The off-diagonal Bethe ansatz method is generalized to the high spin integrable systems associated with the su(2) algebra by employing the spin-s isotropic Heisenberg chain model with generic integrable boundaries as an example. With the fusion techniques, certain closed operator identities for constructing the functional T-Q relations and the Bethe ansatz equations are derived. It is found that a variety of inhomogeneous T-Q relations obeying the operator product identities can be constructed. Numerical results for two-site s=1 case indicate that an arbitrary choice of the derived T-Q relations is enough to give the complete spectrum of the transfer matrix.Comment: 26 pages, 2 tables, 1 figure, published versio

On methods to determine bounds on the Q-factor for a given directivity

This paper revisit and extend the interesting case of bounds on the Q-factor for a given directivity for a small antenna of arbitrary shape. A higher directivity in a small antenna is closely connected with a narrow impedance bandwidth. The relation between bandwidth and a desired directivity is still not fully understood, not even for small antennas. Initial investigations in this direction has related the radius of a circumscribing sphere to the directivity, and bounds on the Q-factor has also been derived for a partial directivity in a given direction. In this paper we derive lower bounds on the Q-factor for a total desired directivity for an arbitrarily shaped antenna in a given direction as a convex problem using semi-definite relaxation techniques (SDR). We also show that the relaxed solution is also a solution of the original problem of determining the lower Q-factor bound for a total desired directivity. SDR can also be used to relax a class of other interesting non-convex constraints in antenna optimization such as tuning, losses, front-to-back ratio. We compare two different new methods to determine the lowest Q-factor for arbitrary shaped antennas for a given total directivity. We also compare our results with full EM-simulations of a parasitic element antenna with high directivity.Comment: Correct some minor typos in the previous versio

Discovering Organizational Correlations from Twitter

Organizational relationships are usually very complex in real life. It is difficult or impossible to directly measure such correlations among different organizations, because important information is usually not publicly available (e.g., the correlations of terrorist organizations). Nowadays, an increasing amount of organizational information can be posted online by individuals and spread instantly through Twitter. Such information can be crucial for detecting organizational correlations. In this paper, we study the problem of discovering correlations among organizations from Twitter. Mining organizational correlations is a very challenging task due to the following reasons: a) Data in Twitter occurs as large volumes of mixed information. The most relevant information about organizations is often buried. Thus, the organizational correlations can be scattered in multiple places, represented by different forms; b) Making use of information from Twitter collectively and judiciously is difficult because of the multiple representations of organizational correlations that are extracted. In order to address these issues, we propose multi-CG (multiple Correlation Graphs based model), an unsupervised framework that can learn a consensus of correlations among organizations based on multiple representations extracted from Twitter, which is more accurate and robust than correlations based on a single representation. Empirical study shows that the consensus graph extracted from Twitter can capture the organizational correlations effectively.Comment: 11 pages, 4 figure