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

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.

Authors

Institutions

Publication Details

Journal
Environmental and Sustainability Indicators
Published
2024-08-05
DOI
https://doi.org/10.1016/j.indic.2024.100450
Citations
4
Primary Topic
Land Use and Ecosystem Services
Type
article
Field-Weighted Citation Impact
1.13
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Yichen Ruan, Yang Dongye, Mingyu Zhang, Weicheng Gu
4 citations
Environmental and Sustainability Indicators
Land Use and Ecosystem Services
1.13
article

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

Yichen Ruan, Yang Dongye, Mingyu Zhang, Weicheng Gu
article en
4 citations

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.

Environmental and Sustainability IndicatorsVol. 23
Zhejiang Province Institute of Architectural Design and Research (CN), Changzhou City Planning and Design Institute (CN), Hangzhou City University, Zhejiang University (CN)
Sustainable cities and communities
Openalex Percentile: Top 24%
Land Use and Ecosystem Services
1.13
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.