Evidence map›Paper›PMID 39014132›Full record

ArticleScientific reports2024

Assessing green production efficiency and spatial characteristics of China's real estate industry based on the undesirable super-SBM model.

Bo-Wen An, Pei-Yuan Xu, Chun-Yu Li, Lan-Yue Zhang, Qiu-Ping Guo

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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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

5 authors.

Bo-Wen AnCollege of Economics and Finance, Huaqiao University, Quanzhou, 362021, Fujian, China.
Pei-Yuan XuCollege of Economics and Finance, Huaqiao University, Quanzhou, 362021, Fujian, China.
Chun-Yu LiTianfu College, Southwestern University of Finance and Economics, Mianyang, 621050, Sichuan, China.
Lan-Yue ZhangSchool of Digital Economics, Sichuan University Jinjiang College, Meishan, 620860, Sichuan, China. zhanglanyue@scujj.edu.cn.
Qiu-Ping GuoPan Asia Business School, Yunnan Normal University, Kunming, 650092, Yunnan, China. qiupingguo@ynnu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As China strives to balance rapid urbanization with environmental conservation, increasing attention is being paid to the pursuit of green production efficiency (GPE) in the real estate industry. The undesirable super-SBM model was used to calculate the GPE of China's real estate industry from 2001 to 2020. Additionally, GPE spatial distribution characteristics in China's real estate industry were analyzed using the standard deviation ellipse (SDE), Moran's index, Theil index, random kernel density estimation (RKDA), and spatial Markov chain (SMC) methods. The GPE exhibited a U-shaped trend, with 2008 as the inflection point, first decreasing and then increasing. It reached a maximum value of 0.747 in 2020. The Theil index increased from 0.043 to 0.121 nationwide, indicating the overall characteristics of low-level slow growth, and imbalance. Discrepancies in input-output scales, the southward shift of economic centers, and population movements contribute significantly to the disparities between the east and west, north and south, and regions divided by the Hu Huanyong Line (Hu Line). The GPE exhibited club convergence characteristics; however, polarization phenomena exist in local areas. Spatial spillover effects were also observed in GPE. Finally, we provide recommendations for promoting green development in the real estate industry, including green building technology, fiscal subsidy investment, and population migration management.

Indexed as

Distribution dynamic evolutionGPE of real estate industrySpatial centroid evolutionSpatial clustering trendSpatial disparity pattern

Identifiers

PMID39014132
PMCPMC11252332

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.