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Zhaoyang Cai

Researcher at Minzu University of China

Publications -  13
Citations -  113

Zhaoyang Cai is an academic researcher from Minzu University of China. The author has contributed to research in topics: China & Environmental science. The author has an hindex of 2, co-authored 2 publications receiving 35 citations.

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Real estate supports rapid development of China's urbanization

TL;DR: In this article, the authors describe how four typical Chinese cities supported urbanization by promoting the development of different aspects of a real estate market to illustrate real estate's role in Chinese urbanization, thereby providing examples and cautions for urbanization both in China and in other parts of the developing world.
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Finding a Peaceful Road to Urbanization in China

TL;DR: In this paper, the authors examined China's land transfer model, which has made huge amounts of money available to support the infrastructure construction that accompanies urbanization and socioeconomic development, but this approach also creates a serious risk of a financial and debt crisis that can jeopardize social stability and undermine future development.
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Spatiotemporal differences and influencing factors of high-quality utilization of land resources in the Yellow River Basin of China

TL;DR: Wang et al. as discussed by the authors explored the spatiotemporal differences and influencing factors of high-quality utilization of land resources (HULR) in the Yellow River Basin (an important ecological barrier in China) by using entropy method, spatial panel regression model, and geographically and temporally weighted regression model.
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Spatiotemporal characteristics and influencing factors of the coupling coordinated development of production-living-ecology system in China

TL;DR: Wang et al. as discussed by the authors explored the spatiotemporal characteristics and influencing factors of the coupling coordinated development of production-living-ecology (PLE) system using coupling model, spatial regression model, GTWR model and K-means clustering method.