Evidence map›Paper›PMID 38102182›Full record

ArticleScientific reports2023

Spatial-temporal distribution and key factors of urban land use ecological efficiency in the Loess Plateau of China.

Lanyue Zhang, Yi Xiao, Yimeng Guo, Xinmeng Qian

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Lanyue ZhangSchool of Digital Economics, Sichuan University Jinjiang College, Meishan, 620860, Sichuan, China.
Yi XiaoBusiness School, Chengdu University of Technology, Chengdu, 610059, Sichuan, China. benbenyi93@163.com.
Yimeng GuoDepartment of Economics, Sichuan Institute of Administration, Chengdu, 610071, Sichuan, China.
Xinmeng QianCollege of Management Science, Chengdu University of Technology, Chengdu, 610059, Sichuan, China.

Funding

Key Research Base for Humanities and Social Sciences in Higher Education Institutions of Sichuan Province CYCX2023ZD02Key Research Base for Humanities and Social Sciences in Higher Education Institutions of Sichuan Province YREPC2023-YB001Key Research Base for Humanities and Social Sciences in Higher Education Institutions of Sichuan Province ZHJJ2023YB001National Natural Science Foundation of China 41790445Sichuan Philosophy and Social Science Foundation project 23JJ519
6 · The paper itself

Abstract

Urban land use ecological efficiency is crucial to the urbanization process and urban ecosystem sustainability. Cities in ecologically sensitive zones with frequent natural disasters need more complex land use patterns and plans. Achieving the goal of harmonizing economy and ecosystem is key for sustainable development policy makers in these cities. Aiming to explore the urban land use ecological efficiency (LUEE) of ecologically sensitive areas, urban land use ecological efficiency index system of the Loess Plateau was constructed, the SBM-Tobit model was adopted to measure the LUEE and influencing factors from 2009 to 2018, and the characteristics of spatial-temporal evolution was discussed. The results indicated that there were significant spatial differences of LUEE in ecologically sensitive zone. The high-level cities of LUEE were located in the southwest areas, while low-level cities of LUEE were mostly situated in the northeast zones, and the temporal variation trend showed the characteristic of "W" curve. Additionally, the results of key factors identification demonstrated that science and technology expenditure and public transport development had positive effects on urban LUEE, while the land expansion, GDP growth, the second industry and real estate development will limit the improvement of urban LUEE. This study used the scientific evaluation index system and key factors identification method to explore the land use ecological efficiency in ecologically sensitive zones, aiming to provide a case study reference for urban land management and optimization in ecologically fragile areas.

Identifiers

PMID38102182
PMCPMC10724282

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