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Exploring urban green spaces in China: Spatial patterns, driving factors and policy implications

机译:探索中国城市绿地:空间模式,驾驶因素和政策影响

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摘要

The 2030 Agenda for Sustainable Development, developed by the United Nations (UN), proposes making 'cities and human settlements inclusive, safe, resilient and sustainable'. As a common concern of 'New-type Urbanization' and 'Rural vitalization strategy', China is undergoing economic transformation, protecting urban green space (UGS), and promoting ecological utilization of land. However, the spatial pattern and driving mechanism of UGS remain unclear. Thus, this paper attempts to introduce production factors, and creates a new analysis framework for primary production factors (PPFs) and expanded production factors (EPFs). Ordinary least squares (OLS) and geographically weighted regression (GWR) are also used to reveal the driving mechanism. The study found the following: (1) From 2006-2015, UGS formed a 'T' pattern in China, with the Yangtze River as the horizontal axis and the eastern coastal region as the vertical axis. (2) The main driving force is PPFs comprising labour, land, and capital. However, the role of EPFs represented by technology and management remains inadequate. (3) The driving force of production factors on UGS has spatial heterogeneity. Labour has increased UGS in the Pearl River Delta urban agglomeration. Technology and management factors have developed UGS in the northeast district. In the western district, capital has gradually become an important reason for the development of UGS. Additionally, the land factor has significantly affected UGS in south-western China. Based on the results, a viable future management strategy for UGS is to increase the effective input and liquidity of production factors. Finally, the novel perspective using multidimensional production factors can provide useful inspiration for future research.
机译:由联合国(联合国)开发的2030年可持续发展议程,建议使“城市和人类住区包容,安全,弹性和可持续”。作为“新型城市化”和“农村活力战略”的共同关注,中国正在经历经济转型,保护城市绿地(UGS),促进土地的生态利用。然而,UGS的空间模式和驱动机制仍然不清楚。因此,本文试图引入生产因素,为初级生产因素(PPFS)和扩展生产因素(EPFS)创建一个新的分析框架。普通的最小二乘(OLS)和地理加权回归(GWR)也用于露出驱动机构。该研究发现如下:(1)从2006 - 2015年起,UGS在中国形成了“T”模式,长江作为水平轴和东部沿海地区作为垂直轴。 (2)主要动力是PPFS,包括劳动力,土地和资本。然而,技术和管理层代表的EPF的作用仍然不足。 (3)UGS上生产因子的驱动力具有空间异质性。劳动力增加了珠江三角洲城市集聚的UG。技术和管理因素在东北区开发了UG。在西区,资本逐渐成为UGS发展的重要原因。此外,土地因素在中国西南部受到显着影响的UG。根据结果​​,UGS可行的未来管理策略是增加生产因素的有效投入和流动性。最后,使用多维生产因素的新颖观点可以为未来的研究提供有用的灵感。

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