Suchergebnisse

The real estate market is vital for national economic development, and it is of great significance to research an early warning method to identify an abnormal status of the real estate market. In this study, a real estate early warning system based on the PSO-LSSVR model was created to train and test the indicator data of Beijing from 2000 to 2020, and to predict the early warning indicator of the Beijing real estate market from 2021 to 2030. The results showed that the warning status of the Beijing real estate market went from a fluctuation status to a stable "Normal" status from 2000 to 2020, and the warning status is expected to be more stable under a "Normal" status in the next decade under the same political and economic environment. The PSO-LSSVR model was found to have accurate prediction ability and demonstrated generalization ability. Furthermore, the warning status of the Beijing real estate market was analyzed in combination with national historical policies. Based on the results, this paper proposes policy recommendations to promote the healthy and sustainable development of the real estate market.

Customers' concerns regarding product quality (CPQs), as expressed in online reviews, provide future customers with information that may influence their own purchase decisions. Recent research attaches considerable importance to consumers' emotions embedded in their language style, based on function words, but rarely touches on their CPQs, which are also embedded in their language style. Therefore, this study aims to examine the CPQs of Chinese women's clothes buyers. We build a corpus of 32,667 words from the online reviews of women's clothes buyers on the Chinese website Taobao. A novel language inquiry word count dictionary for topic types related to product quality is built, which is then imported into a language style matching algorithm which assesses the synchrony of the language style. Our results show that buyers' CPQs are diverse and concentrated in scope; consumers' different expressions in online reviews are dependent on the sequence and impact factor of CPQs embedded in their language style. This study's findings offer companies valuable insights to identify customers' CPQs based on their language style, which may allow them to devise more effective promotion strategies and product designs.

Uncovering magnitude, trend, and spatial pattern of land cover/land use changes (LCLUC) is crucial for understanding mechanisms of LCLUC and assisting land use planning and conservation. China has been undergoing unprecedented economic growth, massive rural-to-urban migration, and large-scale policy-driven ecological restoration, and therefore encountering enormous LCLUC in recent decades. However, comprehensive understandings of spatiotemporal LCLUC dynamics and underlying mechanisms are still lacking. Based on classification of annual LCLU maps from MODIS satellite imagery, we proposed a land change detection method to capture significant land change hotspots over Northern China during 2001–2013, and further analyzed temporal trends and spatial patterns of LCLUC. We found rapid decline of agricultural land near urban was predominantly caused by urban expansion. The process was especially strong in North China Plain with 14,057 km2 of urban gain and −21,017 km2 of agricultural land loss. To offset the loss of agricultural land, Northeast China Plain and Xinjiang were reclaimed. Substantial recovery of forests (49,908 km2) and closed shrubland (60,854 km2) occurred in mountainous regions due to abandoned infertile farmland, secondary succession, and governmental conservation policies. The spatial patterns and trends of LCLUC in Northern China provide information to support effective environmental policies towards sustainable development.