• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法，用中文像聊天一样搜索，搜遍4000万医学文献。AI智能推荐，让科研检索更轻松。

立即免费搜索

文件翻译

保留排版，准确专业，支持PDF/Word/PPT等文件格式，支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述，25分钟生成高质量综述，智能提取关键信息，辅助科研写作。

立即免费体验

基于非期望超效率SBM模型的中国房地产业绿色生产效率及空间特征评估

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

作者信息

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

机构信息

College of Economics and Finance, Huaqiao University, Quanzhou, 362021, Fujian, China.

Tianfu College, Southwestern University of Finance and Economics, Mianyang, 621050, Sichuan, China.

出版信息

Sci Rep. 2024 Jul 16;14(1):16367. doi: 10.1038/s41598-024-67506-8.

DOI:10.1038/s41598-024-67506-8
PMID:39014132
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11252332/
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.

摘要

在中国努力平衡快速城市化与环境保护的过程中，房地产行业对绿色生产效率（GPE）的追求正受到越来越多的关注。采用非期望超效率SBM模型计算了2001—2020年中国房地产行业的绿色生产效率。此外，运用标准差椭圆（SDE）、莫兰指数、泰尔指数、随机核密度估计（RKDA）和空间马尔可夫链（SMC）方法分析了中国房地产行业绿色生产效率的空间分布特征。绿色生产效率呈U型趋势，以2008年为拐点，先下降后上升，2020年达到最大值0.747。全国泰尔指数从0.043增长到0.121，呈现出低水平缓慢增长且不均衡的总体特征。投入产出规模差异、经济中心南移和人口流动对东西部、南北部以及胡焕庸线（胡线）两侧区域之间的差距有显著影响。绿色生产效率呈现俱乐部趋同特征，但局部地区存在极化现象。绿色生产效率还存在空间溢出效应。最后，针对房地产行业绿色发展提出了相关建议，包括绿色建筑技术、财政补贴投入和人口迁移管理等方面。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/900d/11252332/89bf024127a5/41598_2024_67506_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/900d/11252332/951bd9746df1/41598_2024_67506_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/900d/11252332/277b623c10fc/41598_2024_67506_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/900d/11252332/2d8e68c38704/41598_2024_67506_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/900d/11252332/38d6a26a1ecf/41598_2024_67506_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/900d/11252332/258e8a3e487f/41598_2024_67506_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/900d/11252332/95b570af07b8/41598_2024_67506_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/900d/11252332/98ee4bf9fd5a/41598_2024_67506_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/900d/11252332/0a01d4e4ce62/41598_2024_67506_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/900d/11252332/594b57dfd233/41598_2024_67506_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/900d/11252332/8a0a775ccd3e/41598_2024_67506_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/900d/11252332/8043be8a3710/41598_2024_67506_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/900d/11252332/89bf024127a5/41598_2024_67506_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/900d/11252332/951bd9746df1/41598_2024_67506_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/900d/11252332/277b623c10fc/41598_2024_67506_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/900d/11252332/2d8e68c38704/41598_2024_67506_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/900d/11252332/38d6a26a1ecf/41598_2024_67506_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/900d/11252332/258e8a3e487f/41598_2024_67506_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/900d/11252332/95b570af07b8/41598_2024_67506_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/900d/11252332/98ee4bf9fd5a/41598_2024_67506_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/900d/11252332/0a01d4e4ce62/41598_2024_67506_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/900d/11252332/594b57dfd233/41598_2024_67506_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/900d/11252332/8a0a775ccd3e/41598_2024_67506_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/900d/11252332/8043be8a3710/41598_2024_67506_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/900d/11252332/89bf024127a5/41598_2024_67506_Fig12_HTML.jpg

相似文献

1
Assessing green production efficiency and spatial characteristics of China's real estate industry based on the undesirable super-SBM model.基于非期望超效率SBM模型的中国房地产业绿色生产效率及空间特征评估
Sci Rep. 2024 Jul 16;14(1):16367. doi: 10.1038/s41598-024-67506-8.
2
The spatiotemporal dynamic and spatial spillover effect of green finance efficiency in China: analysis based on super-SBM model and spatial Durbin model.中国绿色金融效率的时空动态及空间溢出效应研究：基于超效率 SBM 模型和空间杜宾模型的分析。
Environ Sci Pollut Res Int. 2023 May;30(25):67040-67058. doi: 10.1007/s11356-023-27004-2. Epub 2023 Apr 27.
3
Green production efficiency of China's hog breeding industry: Spatial divergence and its driving factors.中国生猪养殖业绿色生产效率：空间分异及其驱动因素。
PLoS One. 2023 Nov 3;18(11):e0288176. doi: 10.1371/journal.pone.0288176. eCollection 2023.
4
The spatiotemporal dynamic and spatial spillover effect of agricultural green technological progress in China.中国农业绿色技术进步的时空动态及空间溢出效应。
Environ Sci Pollut Res Int. 2022 Apr;29(19):27909-27923. doi: 10.1007/s11356-021-18424-z. Epub 2022 Jan 4.
5
Research on the coordinated development of provincial urbanization and carbon emission efficiency of construction industry in China.中国省级城市化与建筑业碳排放效率协调发展研究
Carbon Balance Manag. 2024 Apr 13;19(1):12. doi: 10.1186/s13021-024-00259-z.
6
Applying the Super-EBM model and spatial Durbin model to examining total-factor ecological efficiency from a multi-dimensional perspective: evidence from China.运用超 EBM 模型和空间杜宾模型从多维视角考察全要素生态效率：来自中国的证据。
Environ Sci Pollut Res Int. 2022 Jan;29(2):2183-2202. doi: 10.1007/s11356-021-15770-w. Epub 2021 Aug 7.
7
North-south regional differential decomposition and spatiotemporal dynamic evolution of China's industrial green total factor productivity.中国工业绿色全要素生产率的南北区域差异分解及时空动态演进。
Environ Sci Pollut Res Int. 2023 Mar;30(13):37706-37725. doi: 10.1007/s11356-022-24697-9. Epub 2022 Dec 27.
8
Regional Differences and Convergence of Inter-Provincial Green Total Factor Productivity in China under Technological Heterogeneity.中国技术异质性下的省际绿色全要素生产率的区域差异与收敛。
Int J Environ Res Public Health. 2022 May 7;19(9):5688. doi: 10.3390/ijerph19095688.
9
Industrial environmental efficiency and its influencing factors in China: analysis based on the Super-SBM model and spatial panel data.中国工业环境效率及其影响因素分析：基于超效率 SBM 模型和空间面板数据的分析。
Environ Sci Pollut Res Int. 2020 Dec;27(35):44267-44278. doi: 10.1007/s11356-020-10235-y. Epub 2020 Aug 6.
10
Analysis of spatial spillover effects and influencing factors of transportation carbon emission efficiency from a provincial perspective in China.中国省级交通运输碳排放效率的空间溢出效应及影响因素分析。
Environ Sci Pollut Res Int. 2024 Feb;31(8):12174-12193. doi: 10.1007/s11356-024-31840-1. Epub 2024 Jan 16.

引用本文的文献

1
Assessing green innovation efficiency and spatial characteristics of China's high tech industry based on the three stage undesirable SBM model.基于三阶段非期望SBM模型的中国高技术产业绿色创新效率及空间特征评估
Sci Rep. 2025 Aug 15;15(1):29917. doi: 10.1038/s41598-025-16189-w.
2
Evaluation and heterogeneity of the green total factor productivity of Shandong Province, China: a super-SBM and GML analysis.中国山东省绿色全要素生产率的评估与异质性：基于超效率SBM模型和GML指数的分析
Sci Rep. 2025 Jul 1;15(1):21901. doi: 10.1038/s41598-025-08160-6.
3
Calculation and structural analysis of total factor energy efficiency in high carbon sectors.

本文引用的文献

1
Energy and air? The impact of energy efficiency improvement on air quality in China.能源与空气？能效提升对中国空气质量的影响。
Environ Sci Pollut Res Int. 2023 Aug;30(38):89661-89675. doi: 10.1007/s11356-023-28835-9. Epub 2023 Jul 16.
2
Spatiotemporal Differences and Spatial Spillovers of China's Green Manufacturing under Environmental Regulation.环境规制下中国绿色制造的时空差异与空间溢出
Int J Environ Res Public Health. 2022 Sep 22;19(19):11970. doi: 10.3390/ijerph191911970.
3
Can Housing Assets Affect the Chinese Residents' Willingness to Pay for Green Housing?
高碳行业全要素能源效率的计算与结构分析
Sci Rep. 2025 Jan 29;15(1):3618. doi: 10.1038/s41598-025-87994-6.
住房资产会影响中国居民购买绿色住房的意愿吗？
Front Psychol. 2022 Jan 24;12:782035. doi: 10.3389/fpsyg.2021.782035. eCollection 2021.
4
The environmental-adjusted energy efficiency of China's construction industry: a three-stage undesirable SBM-DEA model.中国建筑业的环境调整能源效率：一个三阶段非期望 SBM-DEA 模型。
Environ Sci Pollut Res Int. 2021 Nov;28(41):58442-58455. doi: 10.1007/s11356-021-14728-2. Epub 2021 Jun 11.
5
The impact of real estate investment on air quality: evidence from China.房地产投资对空气质量的影响：来自中国的证据。
Environ Sci Pollut Res Int. 2020 Jun;27(18):22989-23001. doi: 10.1007/s11356-020-08874-2. Epub 2020 Apr 23.