Measurement and Spatio-Temporal Evolution Analysis of the Business Environment in the Guangdong–Hong Kong–Macao Greater Bay Area

Cultivating the best business environment ecosystem is important for advancing market-oriented reforms and achieving sustainable industrial transformation. How to quantify the business environment is also a relatively complex topic. Based on urban ecology theory, this study constructs a comprehensive evaluation framework for assessing urban business environment development. Using the entropy weight method and spatial autocorrelation analysis, we examine the time series and spatial evolution of the business environment in the Guangdong–Hong Kong–Macao Greater Bay Area from 2008 to 2021. Meanwhile, we further explore the main factors that influence the development level of the business environment. Finally, some suggestions are put forward to improve the business environment. The results show that (1) the development level of the business environment has gradually improved during the sample period, with stable growth from 2008 to 2015, followed by rapid development after 2015; (2) from different dimensions, there is an imbalance in the business environment development among cities within the Greater Bay Area, with core cities performing better than others; (3) from a spatial perspective, the business environment presents a “core-periphery” pattern, with higher levels clustered around the Pearl River Estuary, indicating strong spatial agglomeration. This research provides theoretical support and policy recommendations for the Three-Year Action Plan for Creating a World-Class Business Environment in the Greater Bay Area.

Authors

Institutions

Publication Details

Journal
Sustainability
Published
2025-08-17
DOI
https://doi.org/10.3390/su17167426
Citations
2
Primary Topic
Regional Economic and Spatial Analysis
Type
article
Field-Weighted Citation Impact
6.26
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Measurement and Spatio-Temporal Evolution Analysis of the Business Environment in the Guangdong–Hong Kong–Macao Greater Bay Area

Qiang Wei, Fang Zhao
2 citations
Sustainability
Regional Economic and Spatial Analysis
6.26
article

Measurement and Spatio-Temporal Evolution Analysis of the Business Environment in the Guangdong–Hong Kong–Macao Greater Bay Area

Qiang Wei, Fang Zhao
article en
2 citations

Abstract

Cultivating the best business environment ecosystem is important for advancing market-oriented reforms and achieving sustainable industrial transformation. How to quantify the business environment is also a relatively complex topic. Based on urban ecology theory, this study constructs a comprehensive evaluation framework for assessing urban business environment development. Using the entropy weight method and spatial autocorrelation analysis, we examine the time series and spatial evolution of the business environment in the Guangdong–Hong Kong–Macao Greater Bay Area from 2008 to 2021. Meanwhile, we further explore the main factors that influence the development level of the business environment. Finally, some suggestions are put forward to improve the business environment. The results show that (1) the development level of the business environment has gradually improved during the sample period, with stable growth from 2008 to 2015, followed by rapid development after 2015; (2) from different dimensions, there is an imbalance in the business environment development among cities within the Greater Bay Area, with core cities performing better than others; (3) from a spatial perspective, the business environment presents a “core-periphery” pattern, with higher levels clustered around the Pearl River Estuary, indicating strong spatial agglomeration. This research provides theoretical support and policy recommendations for the Three-Year Action Plan for Creating a World-Class Business Environment in the Greater Bay Area.

SustainabilityVol. 17(16)
Nankai University (CN), Hunan University of Finance and Economics (CN)
Openalex Percentile: Top 4%
Regional Economic and Spatial Analysis
6.26
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.