Data mining techniques for LULC analysis using sparse labels and multisource data integration for the hilly terrain of Nilgiris district, Tamil Nadu, India DOI
R. Kumaraperumal,

M. Nivas Raj,

S. Pazhanivelan

et al.

Earth Science Informatics, Journal Year: 2024, Volume and Issue: 18(1)

Published: Dec. 9, 2024

Language: Английский

Land transfer and cropping structure: Evidence from China DOI
Yifan Qian, Yao Xie

Economic Analysis and Policy, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 1, 2025

Language: Английский

Citations

1

The Impact of Innovative City Pilot Policy on Urban Land Green Use Efficiency: A Quasi-Natural Experiment from China DOI Creative Commons
Hengzhou Xu, Zhongyue Li,

Luyu Guo

et al.

Land, Journal Year: 2025, Volume and Issue: 14(1), P. 168 - 168

Published: Jan. 15, 2025

China’s rapid urbanization has spurred significant economic growth, but it also given rise to challenges such as urban sprawl, ecological degradation, and inefficient land use—issues that impede progress toward green sustainable development. Land is the spatial foundation for development, promoting its utilization essential advancing high-quality development of spaces. As a concrete implementation innovation-driven strategy, National Innovative City Pilot Policy (NICPP) serves crucial driver in fostering In this context, NICPP use can be seen two complementary components achieving This study uses panel data from 266 cities across China applies difference-in-differences (DID) model evaluate effect on efficiency (ULGUE), exploring underlying mechanisms through lenses industrial structure technological innovation. The results indicate significantly robustly enhances ULGUE. varies geographically by city type, with most pronounced benefits observed eastern cities, non-resource-based non-old base cities. Additionally, contributes improved comprehensive output during activities reduced pollutant emissions optimizing structures enhancing innovation capacity, thereby Therefore, future, focus should integrating strategic policies. These findings carry profound implications provide important lessons growth global scale.

Language: Английский

Citations

0

Analysis of the Dynamic Changes and Driving Mechanism of Land Green Utilization Efficiency in the Context of Beijing–Tianjin–Hebei Synergistic Development DOI Creative Commons

Huizhen Cui,

Linlin Cheng, Yang Zheng

et al.

Land, Journal Year: 2025, Volume and Issue: 14(2), P. 222 - 222

Published: Jan. 22, 2025

Studying the development of land green utilization efficiency and factors that influence it in Beijing–Tianjin–Hebei region can improve distribution resources among regions reinforce interregional integrated planning. By constructing a super-efficiency SBM model, calculating Malmquist–Luenberger index, Tobit this study explores spatial features temporal variations use from 2010 to 2022. It also examines mechanism drives context synergistic development. According research, Beijing has consistently had highest usage strong strength, whereas Baoding, Xingtai, Handan, other cities Hebei Province have lower efficiency. geographical dimension, research area’s exhibits pattern “high middle low surroundings”, with Cangzhou, Langfang, Tangshan standing out terms both industrial transformation ecological building. Based on results driving efficiency, is evident while degree urbanization population concentration negative effect economic development, synergy, opening up outside world, environmental regulation, output all positive promoting associations it. In summary, increasing optimization structure, bolstering technological innovation policy coordination, attaining harmonious coexistence economy ecology are essential steps process increase area when attempting achieve goal sustainable region.

Language: Английский

Citations

0

Defining Urban Growth Boundary in Semarang City: Integrating Spatial Planning and Predictive Modeling Techniques DOI Open Access
Andi Muhammad Yasser Hakim, Budi Heru Santosa,

Rachmadhi Purwana

et al.

IOP Conference Series Earth and Environmental Science, Journal Year: 2025, Volume and Issue: 1443(1), P. 012037 - 012037

Published: Jan. 1, 2025

Abstract Understanding the maximum percentage of urban area within an administrative region, such as Semarang City, necessitates examination spatial planning schemes, development regulations, and local government policies. Concurrently, cellular automata Markov chain approaches can be used to predict how cities will grow in future accurately. This study aims define growth boundary City by integrating with predictive modeling techniques. The Cellular automata-Markov (CA-MC) method predicts developments based on current land use patterns. seeks delineate areas suitable for using data analysis while preserving critical ecological agricultural zones. findings this research contribute formulating informed policies aimed at achieving balanced expansion environmental conservation Semarang, thus fostering resilient inclusive landscapes city.

Language: Английский

Citations

0

The Effects of Urban Land Expansion Intensify Climate Extremes in China’s Urban Agglomerations DOI Open Access
Shihao Chen,

Jinfeng Pang,

Z. Bian

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(5), P. 1985 - 1985

Published: Feb. 26, 2025

The rapid expansion of urban land is considered one the primary factors contributing to enhancement in climate extremes both frequency and severity. But effects on are presently unclear, especially geographically climatologically complex China. This study investigates evolution laws temperature precipitation from 1960 2022 over five national-level agglomerations China explores trends those under using WRF model. results show that variation characteristics higher consistency compared global warming urbanization. Both intensity have significantly increased, but sometimes decreased rather than increased. Furthermore, will strengthen with expansion. Around 30% can be attributed at lower latitudes more affected by expansion, no significant spatial distribution law observed extremes. this could provide a scientific reference for better coping extreme changes areas achieving sustainable development.

Language: Английский

Citations

0

Differential Urban-Rural Inequalities and Driving Mechanisms of Pm2.5 Exposure in Urban Agglomerations - Evidence from the Central Plains Urban Agglomeration, China DOI
Xiaofan Sun, Chengyuan Wang,

Yaqin Ji

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0

Integration of land use resilience and efficiency in China: Analysis of spatial patterns, differential impacts on SDGs, and adaptive management strategies DOI

Yiwei Geng,

Xiaoshun Li,

Jiangquan Chen

et al.

Applied Geography, Journal Year: 2024, Volume and Issue: 175, P. 103490 - 103490

Published: Dec. 24, 2024

Language: Английский

Citations

1

Data mining techniques for LULC analysis using sparse labels and multisource data integration for the hilly terrain of Nilgiris district, Tamil Nadu, India DOI
R. Kumaraperumal,

M. Nivas Raj,

S. Pazhanivelan

et al.

Earth Science Informatics, Journal Year: 2024, Volume and Issue: 18(1)

Published: Dec. 9, 2024

Language: Английский

Citations

0