Research on control strategies of economic risks in China\u27s Inter-regional transfer of industries

In the process of China\u27s inter-regional transfer of industries, there is a large number of economic risks. This article tries to develop a set of scientific and practical control strategies of the economic risks, to achieve the desired goal of stable and sustainable economic growth and continued improvement in local social welfare

Game Analysis on Economic Risks of Lack of Innovation in Industrial Transferring Regions

By using the model of game analysis, we find it is necessary for government to inject certain subsidies in the enterprise technology innovation in the industrial transferring regions. However, because of the information asymmetry, it is difficult to find the right subsidy strength for the governments in practice. After further analysis of subsidies incentive efficiency, the paper tries to put forward some policy recommendations to promote enterprise innovation and to reduce the economic risk

Studies on Economic-risk Assessment in China\u27s Regional Industrial Transferring：Based on Improved TOPSIS Model

Focusing on regional industrial transferring, this paper introduces the “economic risk”concept to characterize the uncertainty of welfare effets which China’s regional industrial transferring can take. After establishment an unified framework of analysising risk,which includes eonomic welfare risk and social welfare risk, this paper tries to assess the eonomic risk in China’s regional industrial transferring by making use of improved TOPSIS model and 2010 China’s provincial-leved data.We find that the level of China’s overall regional economic risk is at a high level, reflecting that central and western areas are particularly acute, and that economic well-being risk is notable in developed areas, while economic well-being risk and environmental polllution of social well-being risk are very prominent in developing areas

Regulation of Irregular Neuronal Firing by Autaptic Transmission

The importance of self-feedback autaptic transmission in modulating spike-time irregularity is still poorly understood. By using a biophysical model that incorporates autaptic coupling, we here show that self-innervation of neurons participates in the modulation of irregular neuronal firing, primarily by regulating the occurrence frequency of burst firing. In particular, we find that both excitatory and electrical autapses increase the occurrence of burst firing, thus reducing neuronal firing regularity. In contrast, inhibitory autapses suppress burst firing and therefore tend to improve the regularity of neuronal firing. Importantly, we show that these findings are independent of the firing properties of individual neurons, and as such can be observed for neurons operating in different modes. Our results provide an insightful mechanistic understanding of how different types of autapses shape irregular firing at the single-neuron level, and they highlight the functional importance of autaptic self-innervation in taming and modulating neurodynamics.Comment: 27 pages, 8 figure

Energy Wall for Exascale Supercomputing

"Sustainable development" is one of the major issues in the 21st century. Thus the notions of green computing, green development and so on show up one after another. As the large-scale parallel computing systems develop rapidly, energy consumption of such systems is becoming very huge, especially system performance reaches Petascale (10^15 Flops) or even Exascale (10^18 Flops). The huge energy consumption increases the system temperature, which seriously undermines the stability and reliability, and limits the growth of system size. The effects of energy consumption on scalability become a growing concern. Against the background, this paper proposes the concept of "Energy Wall" to highlight the significance of achieving scalable performance in peta/exascale supercomputing by taking energy consumption into account. We quantify the effect of energy consumption on scalability by building the energy-efficiency speedup model, which integrates computing performance and system energy. We define the energy wall quantitatively, and provide the theorem on the existence of the energy wall, and categorize the large-scale parallel computers according to the energy consumption. In the context of several representative types of HPC applications, we analyze and extrapolate the existence of the energy wall considering three kinds of topologies, 3D-Torus, binary n-cube and Fat tree which provides insights on how to mitigate the energy wall effect in system design and through hardware/software optimization in peta/exascale supercomputing

Why people do not keep their promise: Understanding the pro-environmental behavior in China

The promise-implementation gap is a particularly salient feature in promoting individuals' pro-environmental behavior (PEB). Many individuals are becoming aware that their past behavior has not actually been in line with the norms they have made promise to. Prior studies have suggested an array of constraints restricting individuals' pro-environmental involvement. In addition to individuals' behavioral incapability, the said inconsistency can also be traced back to the affected willingness, hard trade-off decisions, and/or the failure of stakeholders' collaboration. Based on the line of reasoning, this research develops an attitude model and frames the potential types of gaps from the perspective of attitude formation and transition surrounding PEBs. The promise-implementation gap is closely related to a sequence of attitudes showing great motivation differences from being reactive to reactive-active transition and to the active-proactive transition. The paper contextualizes the model to examine the promise-implementation gap in the Chinese environmental context. Importance of this context is high with quite mixed economic and social development across the country, which is the same across the world. The application of the model in the Chinese context justifies the validity and generalizability of the theoretic framework. The paper contributes a novel understanding of the promise-implementation gap, and illuminates potential analytic measures and managerial implications for literature of this stream