Forecasting Urban Housing Land Needs: A Comparative Analysis of Chinese Cities

IF 0.5 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC
Yilin Yin, Wenyu Liu, Hang Yin, Huimin Mao, Xiaoyu Li
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引用次数: 0

Abstract

In urban centers across China, the actual annual land supply frequently fails to meet government projections, significantly impacting local economic and social development. This study bridges the gap in prospective analyses of governmental decision-making concerning urban housing land supply. Employing fuzzy set qualitative comparative analysis, this research examines the housing land supply in 50 Chinese cities, including 16 first-tier and 34 non-first-tier cities. The goal is to explore the decision-making combinations that influence the supply of housing land, thereby aiding in the formulation of governmental policies. Our findings indicate that in first-tier cities, forward-looking decisions rely on low fiscal pressure, with purchase restrictions and land supply restructuring acting in tandem. In contrast, in non-first-tier cities, high population density or significant fiscal pressure necessitate enhancements in land supply structures without implementing purchase restrictions to sustain forward-looking governance. Additionally, while forward-looking decisions depend on numerous conditions, it is generally simpler to circumvent non-forward-looking decisions. This investigation integrates forward-looking theory into real estate research, offering valuable insights for the formulation of governmental land supply strategies.
城市住房用地需求预测:中国城市比较分析
在中国各地的城市中心,每年的实际土地供应经常无法满足政府的预测,严重影响了当地的经济和社会发展。本研究弥补了对城市住房用地供应的政府决策进行前瞻性分析的空白。本研究采用模糊集定性比较分析方法,考察了中国 50 个城市的住房用地供应情况,其中包括 16 个一线城市和 34 个非一线城市。目的是探索影响住房用地供应的决策组合,从而帮助政府制定政策。我们的研究结果表明,在一线城市,前瞻性决策依赖于较低的财政压力,限购和土地供应结构调整同时发挥作用。相反,在非一线城市,人口密度高或财政压力大,就必须在不实施限购的情况下加强土地供应结构,以维持前瞻性治理。此外,虽然前瞻性决策取决于诸多条件,但规避非前瞻性决策一般较为简单。本研究将前瞻性理论融入房地产研究,为政府土地供应战略的制定提供了宝贵的启示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Electrical Systems
Journal of Electrical Systems ENGINEERING, ELECTRICAL & ELECTRONIC-
CiteScore
1.10
自引率
25.00%
发文量
0
审稿时长
10 weeks
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