No abstract

Rapid global economic development has resulted in a corresponding intensification of urbanization, which has in turn impacted the ecology of vast regions of the world. A series of problems have thus been introduced, such as changes in land-use/land-cover (LULC) and changes in local climate. The process of urbanization predominantly represents changes in land-use, and is deemed by researchers to be the chief cause of climate change and ecological change. One of the principal purposes of the research in this field is to find ways to mitigate the influence of land-use change on local or global environments. In the study presented in this article, satellite images were utilized to extract information regarding land-use in Beijing City, and to develop maps of land surface temperature (LST) during two different periods of time: 2 August 1999 and 8 August 2010. A supervised classification scheme, a support vector machine, was used to derive the land-use change map for the above periods. Maps of surface temperature are derived from the thermal band of Landsat images using the mono-window algorithm. Results from post-classification comparison indicated that an increase in impervious surface areas was found to be dramatic, while the area of farmland decreased rapidly. The changes in LULC were found to have led to a variation in surface temperature, as well as a spatial distribution pattern of the urban heat island phenomenon. This research revealed that the hotspots were mainly located in areas dominated by three kinds of material: bare soil, rooftops, and marble surfaces. Results from the local Moran's I index indicated that the use of lower surface temperature materials will help to mitigate the influence of the urban heat island phenomenon. The results of this research study provide a reference for government departments involved in the process of designing residential regions. Such a reference should enable the development of areas sympathetic to environmental changes and hence mitigate the effects of the growing intensity of urbanization.

In China industrial clusters consisting of small and medium enterprises have been proliferating in areas where private sectors have successfully developed. This study inquires into the process of forming a new industrial cluster in the garment industry in China. We found that the local marketplace, where enterprise managers can easily purchase materials from and sell products to local traders, plays a critical role in stimulating the entry of new enterprises in the early stage of cluster development. As a cluster develops, however, entrepreneurial ability in producing improved products and marketing them to urban traders plays a more significant role.1

To be successful in learning, students need to be motivated to engage and learn. The domain-specificity motivation theory articulates that student motivation is often determined by the content being taught to them. The purpose of this study was to extend the theory by determining domain-specificity of situational interest and expectancy-value motivation in terms of engagement and achievement outcomes in physical education. A random student sample (N = 346) from eight Chinese middle schools provided data of situational interest, expectancy-value, engagement, and knowledge and skills acquired. Results from correlation, regression, and structural equation model analyses revealed causal inferences demonstrating differentiated effects of motivation components on the outcome measures: task values were specific to knowledge outcome, expectancy beliefs to skills, and situational interest to engagement. The findings imply that physical educators need to adopt motivation strategies compatible to specific learning outcomes to maximize student motivation for engagement and achievement.