Nonlinear Influence of Public Services on Urban Housing Prices: A Case Study of China
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Cited by:
- Qimeng Cai, 2024. "Public service level and human development in the context of digitalization," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 26(3), pages 1103-1119, December.
- Hanli Chen & Yu Zhang & Ningxin Zhang & Man Zhou & Heping Ding, 2022. "Analysis on the Spatial Effect of Infrastructure Development on the Real Estate Price in the Yangtze River Delta," Sustainability, MDPI, vol. 14(13), pages 1-22, June.
- Chaohai Shen & Tong Sheng & Xingheng Shi & Bingquan Fang & Xiaoqian Lu & Xiaolan Zhou, 2022. "The Relationship between Housing Price, Teacher Salary Improvement, and Sustainable Regional Economic Development," Land, MDPI, vol. 11(12), pages 1-21, December.
- Zhesong Hao & Ying Peng, 2022. "Comparing Nonlinear and Threshold Effects of Bus Stop Proximity on Transit Use and Carbon Emissions in Developing Cities," Land, MDPI, vol. 12(1), pages 1-21, December.
- Wei Hu & Shanggang Yin & Haibo Gong, 2022. "Spatial–Temporal Evolution Patterns and Influencing Factors of China’s Urban Housing Price-to-Income Ratio," Land, MDPI, vol. 11(12), pages 1-15, December.
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Keywords
public service; housing price; nonlinear; threshold model; China;All these keywords.
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