Determination of stock closing prices and hedging performance with stock indices futures

This paper examines the impact of the determination of stock closing prices on futures price efficiency and hedging effectiveness with stock indices futures. The empirical results indicate that the increase in the length of the batching period of the stock closing call improves price efficiency in the futures closing prices and then enhances hedging performance in terms of the hedging risks. Additionally, from a utility‐maximization point of view, hedging performance does not improve after the introduction of the 5 min stock closing call, which can be explained by an improvement in price efficiency at the futures market close.     

A ‘Knowledge Trading Game’ for collaborative design learning in an architectural design studio

Knowledge-sharing and resource exchange are the key to the success of collaborative design learning. In an architectural design studio, design knowledge entails learning efforts that need to accumulate and recombine dispersed and complementary pieces of knowledge. In this research, firstly, ‘Knowledge Trading Game’ is proposed to be a way for promoting students’ design knowledge exchange, dissemination and refinement. Twelve students are randomly chosen as experimental participants. And secondly, ‘virtual value’ is used for students to trade their design knowledge. In this game, students buy others’ design knowledge to extend their design problem space; students decrease their design solution space through their sold design knowledge. Finally, ‘protocol analysis’ is adapted as the research methodology to examine the results of implementation. A positive outcome is identified that Knowledge Trading Game encourages collaborative design learning.     

China's Urban Speed Machine: The Politics of Speed and Time in a Period of Rapid Urban Growth

China's urban transformation since 1978 is notable for both its scale and speed. Focusing on the dimension of speed, we propose the concept of the ‘urban speed machine’ to assess its role in shaping the politics and political economy of Chinese urbanization. We argue that in China speed must not be understood merely by means of measurable outcomes of change, but rather that speed is an essential and vital element embedded within China's specific processes and mechanisms driving urban growth. In this sense, speed is constantly at the forefront of local cadres’ considerations, since moving fast to achieve urban growth is an expression of political imperatives and pervasive city‐based accumulation strategies. The Chinese urban speed machine, as we conceive it, mainly involves three state‐dominated institutional arenas: the Communist party's personnel review system, the planning mechanism and local finance. We also discuss regional variability vis‐à‐vis the nature of speed in urbanization and in the differing responses to problems of fast‐city growth in recent years. This article's core contributions are to clarify the paramount importance of speed in the political economy of urban growth and illuminate a relational understanding of the politics of speed in China's urban change.     

A Dynamic Analysis of Exchange Rate Exposure: The impact of China's Renminbi

This study examines the impacts of unexpected exchange rate movements of Chinese renminbi (CNY/USD) on stock returns of Standard & Poor's 500 corporations. To gain better insight into the long‐standing exposure puzzle concerning the divergence between theoretical and empirical investigation and the critical issue regarding the determinants of exposure, the time variation and asymmetry property associated with foreign exchange exposure are further taking into account. We also broaden the scope of analysis to investigate unexpected risk exposure at 10 economic sectors in compliance with Global Industry Classification Standard. Unlike those from the static analysis or dynamic ones with the ordinary least squares model, the empirical findings provide additional concrete evidence that unexpected exchange rate exposure varies substantially across time and market circumstances when using the quantile regression with a rolling method. Furthermore, our dynamic analysis not only supports the existence of industrial effects across different economic sectors, but also provides strong evidence that financial factors, such as size, debt ratio and book to market ratio, have a significant impact on exposure.     

Sequential sampling enhanced composite likelihood approach to estimation of social intercorrelations in large-scale networks

The increasing access to large social network data has generated substantial interest in the marketing community. However, due to its large scale, traditional analysis methods often become inadequate. In this paper, we propose a sequential sampling enhanced composite likelihood approach for efficient estimation of social intercorrelations in large-scale networks using the spatial model. Given a known population network, the proposed approach sequentially takes small samples from the network, and adaptively improves model parameter estimates through learnings obtained from previous samples. In comparison to population-based maximum likelihood estimation that is computationally prohibitive when the network size is large, the proposed approach makes it computationally feasible to analyze large networks and provide efficient estimation of social intercorrelations among members in large networks. In comparison to sample-based estimation that relies on information purely from the sample and produces underestimation bias in social intercorrelation estimates, the proposed approach effectively uses information from the population without compromising computation efficiency. Through simulation studies based on simulated networks and real networks, we demonstrate significant advantages of the proposed approach over benchmark estimation methods and discuss managerial implications. We also discuss extension of the proposed approach in the context of an unknown population network structure, as well as in an alternative form of the spatial model.     

日本与欧美农业环境支持政策对中国的启示

农业政策中与环境相关的支付政策越来越多。发达国家将WTO绿箱政策、农业直接支付政策与农业环境支持政策结合起来,这样既可以从根本上解决农业生产所带来的安全问题,也可以加深消费者对相关政策的理解与支持,同时从产业链的上游解决食品安全及农业的可持续发展问题。欧盟的Greening政策和日本实施的农业直接支付政策均以农户遵守农药化肥及农业废弃物处理的相关规范为前提,通过合理使用肥料及各种防治措施从不同程度上达到农业可持续发展、农业的多功能性及降低温室气体排放的目的,并由此获取政府的支持。文章通过对发达国家,特别是与中国农业形态类似的日本农业环境政策取向的分析及与欧美相关政策比较分析,认为中国首先应该完善循环农业的相关法律法规和标准,加强对农民的培训以及明确其应遵守的基本义务,对采取环境友好型农业生产方式的农民给予支持。     

Health Status and Earnings of Migrant Workers from Rural China

The migration of rural laborers into cities for employment has been one of the main driving forces of China's economic growth over the past three decades. Based on a dataset collected by the Ministry of Agriculture of China from 2003 to 2007, this paper examines the impact of health on the earnings of migrant workers engaging in physically‐intensive work requiring good health. Our findings indicate that a poor health status not only weakens the incentive of rural laborers to participate in the migrant labor force but also significantly reduces their earnings. A migrant worker in poor health only earns 67 percent of what a healthy worker makes. Among all the human capital characteristics and family economic factors, health status is the most influential on earnings for less educated workers. Labor productivity has a greater impact on earnings than the annual number of days that a person works. Ongoing health‐care reforms aimed at the improvement of the health‐care services available to rural laborers are urged to help reduce poverty in rural China.     

A Cross-Cultural Application of a Theoretical Model of Business Ethics: Bridging the Gap between Theory and Data

Hunt and Vitell's General Theory (1992) is used in a cross-cultural comparison of U.S. and Taiwanese business practitioners. Results indicate that Taiwanese practitioners exhibit lower perceptions of an ethical issue in a scenario based on bribery, as well as milder deontological evaluations and ethical judgments relative to their U.S. counterparts. In addition, Taiwan respondents showed higher likelihood of making the payment. Several of the paths between variables in the theory are confirmed in both U.S. and Taiwan samples, with summary data suggesting the Hunt and Vitell theory performs well in both U.S. and Taiwan. Some unanticipated linkages within the model were uncovered in the samples. Results and implications are discussed.