From Socialist Subject to Capitalist Object: Industry Enclave Life Past and Present in Wuhan

There is no better place to explore the relationship of industry enclaves to urban life than China, where traditional danweis (work units) have coexisted with new foreign direct investment enclaves. Here we draw on original interviews with workers at Wuhan Iron and Steel Company (WISCO) and Foxconn in the city of Wuhan to examine industry enclaves old and new in terms of their spatial arrangement, work, institutions, and social life and identity. The article is one of the first to integrate urban and economic geographical perspectives on the subject of enclaves. It provides evidence of similarities and contrasts in the spatial arrangement of work, institutions, life and identity centred on industry enclaves old and new. These contrasts reflect wider relations between the state and the market and between social subject and commodified labour in China. In conclusion, we identify several research directions concerning the scale, diversity and reach of urban enclavism in China and beyond.     

投桃何以报李:企业内外部社会责任对管家行为的影响机制研究

当员工感知到企业的善行,即企业善待员工或是积极履行对外部利益相关者的责任,是否会激发员工"舍己为公"的行为倾向,使其为了保护组织长远利益而牺牲个人短期利益呢?本研究依据社会交换和社会认同理论,通过524份有效样本进行实证分析,探讨员工感知的企业社会责任对"舍己为公"的管家行为的作用机制。结果表明,员工感知的内部和外部企业社会责任均正向影响员工的管家行为。责任知觉和道德认同分别在员工感知的内部企业社会责任与管家行为、员工感知的外部企业社会责任与管家行为间起中介作用,且责任知觉和道德认同的中介作用没有显著差异。     

Evaluation of the green technology innovation efficiency of China's manufacturing industries: DEA window analysis with ideal window width

Data Envelopment Analysis (DEA) window analysis with ideal window width is applied to evaluate the green technology innovation efficiency of 28 manufacturing industries in China during 2006–2014. The obtained results are compared with those calculated using the traditional DEA model, and convergence analysis of the efficiency is conducted. Five years is the obtained ideal window width and DEA window analysis with ideal window produces results closer to reality for China's manufacturing industry. The overall efficiency of the green technology innovation in the manufacturing sector is low following a wave-shaped curve – first decreasing, then increasing and decreasing again, with large inter-industrial differences. There are 8 high-, 14 medium- and 6 low-efficiency industries. A convergence trend in the green technology innovation efficiency within the 28 manufacturing industries exists, implying a catch-up effect between them.     

“Speculative Influence Network” during financial bubbles: application to Chinese stock markets

We introduce the Speculative Influence Network (SIN) to decipher the causal relationships between sectors (and/or firms) during financial bubbles. The SIN is constructed in two steps. First, we develop a Hidden Markov Model (HMM) of regime-switching between a normal market phase represented by a geometric Brownian motion and a bubble regime represented by the stochastic super-exponential Sornette and Andersen (Int J Mod Phys C 13(2):171–188, 2002) bubble model. The calibration of the HMM provides the probability at each time for a given security to be in the bubble regime. Conditional on two assets being qualified in the bubble regime, we then use the transfer entropy to quantify the influence of the returns of one asset i onto another asset j, from which we introduce the adjacency matrix of the SIN among securities. We apply our technology to the Chinese stock market during the period 2005–2008, during which a normal phase was followed by a spectacular bubble ending in a massive correction. We introduce the Net Speculative Influence Intensity variable as the difference between the transfer entropies from i to j and from j to i, which is used in a series of rank ordered regressions to predict the maximum loss (%MaxLoss) endured during the crash. The sectors that influenced other sectors the most are found to have the largest losses. There is some predictability obtained by using the transfer entropy involving industrial sectors to explain the %MaxLoss of financial institutions but not vice versa. We also show that the bubble state variable calibrated on the Chinese market data corresponds well to the regimes when the market exhibits a strong price acceleration followed by clear change of price regimes. Our results suggest that SIN may contribute significant skill to the development of general linkage-based systemic risks measures and early warning metrics.     

基于车辆数据的k近邻联合概率数据关联算法

在交通场景中采用一些预警措施能够有效地减少交通事故发生。例如，对车辆轨迹进行跟踪并预测车辆的驾驶行为，就是一个常用的预警方法。在对车辆进行跟踪的过程中，数据关联是很重要的部分，它可以对车辆的观测点和轨迹进行关联，从而更新车辆的轨迹，完成跟踪过程。在此背景下，提出了一种新的数据关联算法，即k近邻联合概率数据关联算法(k Nearest Neighbor-Joint Probability Data Association,kNN-JPDA)。实验结果表明，该算法能够较好地解决在交通场景下车辆数据的数据关联问题，在精度以及运行效率方面都有所提高。     

一种基于微波雷达回波信号的车型分类方法

车辆类型识别方法是智能交通系统的关键技术之一。利用深度学习的高维特征泛化学习能力，将改进的LeNet-5卷积神经网络用于基于交通微波雷达的大小车型分类识别。首先，以雷达触发前的N帧信号为基础，对雷达的回波信号进行分析并构建数据集；然后，分析LeNet-5卷积神经网络的特点；最后提出一种改进的LeNet-5卷积神经网络。实验结果表明，与传统的支持向量机方法相比，所提方法能够智能学习大小车的雷达时频信号特征，大小车型识别准确率达到97%以上，可为交通场景下的车型识别研究提供新的技术途径。     

创造力与员工创新：上下级关系与目标导向的调节作用

创造力如何高效转化为员工创新是管理实践普遍面临的问题。依据社会认知理论，通过对4家国有企业管理者及其下属进行问卷调查，探讨了上下级关系和目标导向对创造力与员工创新的调节作用。结果发现：学习目标导向对创造力与员工创新存在显著的正向调节效应；企业上下级关系显著负向调节创造力与员工创新关系；目标导向与上下级关系交互调节创造力与员工创新，其中学习目标导向减弱了上下级关系对创造力与员工创新的负向调节作用，证明目标导向增强了上下级的负向调节效应。该结果揭示了创造力与员工创新的复杂权变关系，可为组织管理者科学有效管理创造力与员工创新提供理论启示与实践指导。     

How entrepreneurs recognise entrepreneurial opportunity and its gaps: a cognitive theory perspective

ABSTRACT

Previous studies have verified the relationship between entrepreneurial opportunity recognition and performance. However, the influences of a perceived gap between entrepreneurial opportunities before and after launching a new venture have been neglected. This study applied the partial least square method to analyse the entrepreneurial behaviours and performance of 214 Taiwanese new ventures, and adapted the bootstrap re-sampling method for estimating the variables. The empirical results showed that entrepreneurial resource and entrepreneurial alertness significantly influence the perceived opportunity, while the entrepreneurial resource significantly affects the actual opportunity. The results further demonstrated that both the perceived opportunity and actual opportunity considerably influence new venture performance. This study offered a research framework to better understand the cognition path of entrepreneurial opportunity, and suggested the factors affecting the recognition of perceived opportunity by longitudinal method can be further evaluated. To improve performance, entrepreneurs should enrich entrepreneurial resources and allocate them appropriately, and heighten and maintain their alertness to reduce the perceived gap arising from recognising entrepreneurial opportunities.     

Personalized goal-based investing via multi-stage stochastic goal programming

In this paper, we propose a goal-based investment model that is suitable for personalized wealth management. The model only requires a few intuitive inputs such as size of wealth, investment amount, and consumption goals from individual investors. In particular, a priority level can be assigned to each consumption goal and the model provides a holistic solution based on a sequential approach starting with the highest priority. This allows strict prioritization by maximizing the probability of achieving higher priority goals that are not affected by goals with lower priorities. Furthermore, the proposed model is formulated as a linear program that efficiently finds the optimal financial plan. With its simplicity, flexibility, and computational efficiency, the proposed goal-based investment model provides a new framework for automated investment management services.     

Cost‐reflective pricing: empirical insights into irrigators’ preferences for water tariffs

Using prices to improve the efficiency with which water resources are allocated is now widely accepted in principle if somewhat difficult to achieve in practice. Whilst there are some technical difficulties associated with full‐cost recovery in irrigation, the lack of political will to tackle reform remains a significant impediment. This article reports the results of an empirical investigation into farmers’ preferences for changes to water prices and tariff structures. We conclude that some of the preferences of farmers are conducive to price reform. We also find evidence that public subsidy of infrastructure in irrigation is not always aligned with the preferences of farmers.