Urban land use of national economic sectors in Guangdong-Hong Kong-Macao Greater Bay Area from 2015–2022

Land underpins nearly all human activities, with different economic sectors exhibiting varying degrees of dependence on land resources. Sector-specific land use analysis is essential for optimizing resource allocation, improving land-use efficiency, and promoting sustainable urban development. However, existing land-use classification data are often coarse-grained and lack the detail needed to capture land use at the level of national economic sectors. To address this limitation, this study constructs a sector-specific land use dataset covering 97 and 42 national economic sectors across 11 cities in the Guangdong-Hong Kong-Macao Greater Bay Area for the period 2015-2022. This dataset enables systematic examination of sectoral land use patterns, identification of high land-consuming and low-efficiency sectors, and provides empirical evidence to guide industrial restructuring, spatial planning, and resource-environment policy design. Moreover, the dataset can be integrated with complementary indicators (e.g., carbon emissions, water footprints) to support ecological management and low-carbon development strategies.

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Publication Details

Journal
Scientific Data
Published
2026-03-05
DOI
https://doi.org/10.1038/s41597-026-06968-z
Primary Topic
Land Use and Ecosystem Services
Type
article
Field-Weighted Citation Impact
0.00

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article

Urban land use of national economic sectors in Guangdong-Hong Kong-Macao Greater Bay Area from 2015–2022

Yanmin Teng, Qianyuan Huang, Qionghong Chen, Yuanchao Hu et al.
Scientific Data
Land Use and Ecosystem Services
article

Urban land use of national economic sectors in Guangdong-Hong Kong-Macao Greater Bay Area from 2015–2022

Yanmin Teng, Qianyuan Huang, Qionghong Chen, Yuanchao Hu, Meirong Su, Yuan Zhang, Shiting Li, Chao Xu
article en

Abstract

Land underpins nearly all human activities, with different economic sectors exhibiting varying degrees of dependence on land resources. Sector-specific land use analysis is essential for optimizing resource allocation, improving land-use efficiency, and promoting sustainable urban development. However, existing land-use classification data are often coarse-grained and lack the detail needed to capture land use at the level of national economic sectors. To address this limitation, this study constructs a sector-specific land use dataset covering 97 and 42 national economic sectors across 11 cities in the Guangdong-Hong Kong-Macao Greater Bay Area for the period 2015-2022. This dataset enables systematic examination of sectoral land use patterns, identification of high land-consuming and low-efficiency sectors, and provides empirical evidence to guide industrial restructuring, spatial planning, and resource-environment policy design. Moreover, the dataset can be integrated with complementary indicators (e.g., carbon emissions, water footprints) to support ecological management and low-carbon development strategies.

Scientific Data
Beijing Normal University (CN), Ministry of Education (BN), Hebei University (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China, Basic and Applied Basic Research Foundation of Guangdong Province
Openalex Percentile: Top 46%
Land Use and Ecosystem Services
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Urban land use of national economic sectors in Guangdong-Hong Kong-Macao Greater Bay Area from 2015–2022 — Yanmin Teng, Qianyuan Huang, et al. · Scientific Data (2026) | TGRS Research Map | TGRS