Ke Li
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Ke Li has a total of 4 co-authors. Here are the top co-authors by number of shared publications:
- Tianli Wang
State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China
1 shared publication - Yanbing He
School of Architectural and Artistic Design, Henan Polytechnic University, Jiaozuo 454000, China
1 shared publication - Yanhua Guo
College of Architectural and Artistic Design, Henan Polytechnic University, Jiaozuo 454000, China
1 shared publication - Yifan Song
College of Architectural and Artistic Design, Henan Polytechnic University, Jiaozuo 454000, China
1 shared publication
Latest Publications
- Open Access
- 11 February 2025
- Published by MDPI AG in Applied Sciences
- Vol. 15 (4) , 1870
Spatial–Temporal Characteristics and Influencing Factors of Urban Built-Up Land Green Use Efficiency in the Central Plains Urban Agglomeration: Analysis of the Central China Rise Policy
The urban built-up land green use efficiency (UBLGUE) of the Central Plains Urban Agglomeration (CPUA) is greatly affected by the Central China Rise policy. However, studies on how socioeconomic factors affect UBLGUE in underdeveloped urban agglomerations are lacking, and little empirical research has placed particular emphasis on the Central China Rise policy. Based on the statistical data of 2003–2020, this study explores the dynamic spatial–temporal characteristics and determines the influencing mechanism of UBLGUE in the CPUA via the super-SBM–DEA method and panel regression model. The empirical results indicate the following: The average UBLGUE in the prefecture cities of the CPUA presents a significant fluctuating trend from 2003 to 2020. The UBLGUE of the CPUA is characterized by spatial imbalance. Over the period of Central China Rise, the main factors influencing the spatial–temporal differentiation of the UBLGUE in the CPUA are the economic development, industrial structure, environmental regulation intensity, and energy consumption intensity. UBLGUE has strong economic attributes and is positively promoted by economic development. In contrast, the industrial structure, environmental regulation intensity, and energy consumption intensity significantly hinder the UBLGUE. Energy consumption intensity has the strongest negative effect on UBLGUE. Finally, corresponding policy recommendations are proposed to promote UBLGUE based on the conclusions obtained.
- 11 February 2025
- Published by MDPI AG in Applied Sciences
- Vol. 15 (4) , 1870
Open AccessSpatial–Temporal Characteristics and Influencing Factors of Urban Built-Up Land Green Use Efficiency in the Central Plains Urban Agglomeration: Analysis of the Central China Rise Policy
The urban built-up land green use efficiency (UBLGUE) of the Central Plains Urban Agglomeration (CPUA) is greatly affected by the Central China Rise policy. However, studies on how socioeconomic factors affect UBLGUE in underdeveloped urban agglomerations are lacking, and little empirical research has placed particular emphasis on the Central China Rise policy. Based on the statistical data of 2003–2020, this study explores the dynamic spatial–temporal characteristics and determines the influencing mechanism of UBLGUE in the CPUA via the super-SBM–DEA method and panel regression model. The empirical results indicate the following: The average UBLGUE in the prefecture cities of the CPUA presents a significant fluctuating trend from 2003 to 2020. The UBLGUE of the CPUA is characterized by spatial imbalance. Over the period of Central China Rise, the main factors influencing the spatial–temporal differentiation of the UBLGUE in the CPUA are the economic development, industrial structure, environmental regulation intensity, and energy consumption intensity. UBLGUE has strong economic attributes and is positively promoted by economic development. In contrast, the industrial structure, environmental regulation intensity, and energy consumption intensity significantly hinder the UBLGUE. Energy consumption intensity has the strongest negative effect on UBLGUE. Finally, corresponding policy recommendations are proposed to promote UBLGUE based on the conclusions obtained.