Influence of multilevel governance on land use change in China's rapidly urbanizing metropolitan from low-carbon perspective

IF 5.4 Q1 ENVIRONMENTAL SCIENCES
Mingyu Zhang , Weicheng Gu , Dongye Yang , Yichen Ruan
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引用次数: 0

Abstract

Low-carbon oriented land use change is crucial to tackling climate change issues in rapidly urbanizing metropolitans. Previous studies lacked to consider how the cross-level interaction within multilevel governance of metropolitan areas affect the land use change. In order to simulate multilevel governance interaction, this study proposes a land use simulation model, facilitating a comparative analysis of simulated results under different scenarios. Taking Hangzhou as the empirical study area, the results show that the predicted scale of construction land with high carbon emissions is smallest in interactive governance scenario. Its overall low-carbon performance of land use is the best among all scenarios, with a Polycentric Degree of 0.7856 (N = 4) and 0.9142 (N = 6), and Cohesion Degree and Land-Use Degree Index are 101.8320 and 101.7944 respectively. This study revealed that the interactive governance effectively curbs the growth of land with high-carbon emissions, promoting the spatial carbon efficiency and the low-carbon oriented spatial layout. Multi-level governance provides a framework for effective implantation of low-carbon oriented land use change objective and plays an important role in promoting its low-carbon performance. This study innovatively incorporates governance parameters into the land use prediction model, providing guidance for optimizing land use governance in metropolitan areas.

从低碳视角看多层次治理对中国快速城市化大都市土地利用变化的影响
在快速城市化的大都市中,以低碳为导向的土地利用变化对于应对气候变化问题至关重要。以往的研究缺乏考虑大都市区多级治理中的跨级互动如何影响土地利用变化。为了模拟多级治理的相互作用,本研究提出了一个土地利用模拟模型,便于对不同情景下的模拟结果进行比较分析。以杭州为实证研究区域,结果表明,在互动治理情景下,高碳排放建设用地的预测规模最小。其土地利用的整体低碳绩效是所有情景中最好的,多中心度分别为 0.7856(N = 4)和 0.9142(N = 6),凝聚度和土地利用度指数分别为 101.8320 和 101.7944。研究表明,互动治理有效抑制了高碳排放土地的增长,促进了空间碳效率的提高和以低碳为导向的空间布局。多层次治理为低碳导向的土地利用变化目标的有效实施提供了框架,对促进其低碳绩效发挥了重要作用。本研究创新性地将治理参数纳入土地利用预测模型,为优化大都市区土地利用治理提供指导。
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
Environmental and Sustainability Indicators
Environmental and Sustainability Indicators Environmental Science-Environmental Science (miscellaneous)
CiteScore
7.80
自引率
2.30%
发文量
49
审稿时长
57 days
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