Economic Development in the Guangdong-Hong Kong-Macao Greater Bay Area:Spatial Pattern,Influencing Factors,and Implications—Based on the Hierarchical Data of Two-Layer Administrative Regions

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外文摘要：This paper investigates the economic development within the Guangdong-Hong Kong-Macao Greater Bay Area from two perspectives—spatial pattern and influencing factors—to promote coordinated development across the area.This paper employs Moran's I test and local Getis-Ord G statistic from spatial statistics.Furthermore,it constructs a hierarchical spatial econometric model to facilitate empirical investigation.It is found that the overall economic development of the Guangdong-Hong Kong-Macao Greater Bay Area exhibits a"mountain-shaped"spatial pattern of the high-level homogeneous regions with"high-high correlation"and the low-level homogeneous regions with"low-low correlation."The internal difference in economic density is moderate,with an obvious trend of decrease year by year.Economic density shows a significant spatial positive correlation,with the expansion of the scope of areas exhibiting"high-high correlation."The differences in economic density between hotspots and sub-hotspots have decreased,but the economic density of cold spots has failed to keep up with the development of other regions.The difference in factor input density among the influencing factors explains most of the differences in economic density among different regions.The results from the R&D capital investment coefficient indicate that in recent years,the effect of investments in urban scientific and technological innovation factors has been more extensive and uniform among the regions under its jurisdiction,but the spatial spillover effect of innovation factors at both layers is not significantly positive.Apart from the city's location within the Greater Bay Area,the relative location of the jurisdictions within the city equally influences the economic development configuration of the Greater Bay Area.Although economic density in regions adjacent to cities outside the Greater Bay Area is notably lower than in other regions,their growth rate and production efficiency remain on par with other regions.T-test and model results underscore the rapid development of the areas encircling the bay.The coefficient of location dummy variables in areas adjacent to cities in the Greater Bay Area varies among cities.At a particular factor input density,some cities have higher output efficiency in areas contiguous to cities in the Greater Bay Area.This study uniquely adopts low-level city jurisdictions and high-level cities to shape a two-tiered hierarchical dataset with nested geographic units.This innovative approach fully leverages insights from distinct layers,delving into spatial interdependence and interplay across layers.This paper aims to explore the spatial pattern and influencing factors steering economic development in the Guangdong-Hong Kong-Macao Greater Bay Area.In doing so,it aims to identify problems and present pertinent policy recommendations.

外文关键词：

Guangdong-Hong Kong-Macao Greater Bay Areaeconomic developmentspatial patterninfluencing factorhierarchical data

作者：

MA Jiayu、HAN Zhaozhou、JIANG Qingshan

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作者单位：

School of Financial Mathematics & Statistics,Guangdong University of Finance,Guangzhou 510521,China

Huashang College,Guangdong University of Finance & Economics,Guangzhou 511300,China

School of Mathematics and Statistics,Guangdong University of Foreign Studies,Guangzhou 510006,China

基金：

key project of National Social Science Foundation of China"Research on Statistical Measurement and Decision Support System oproject of Guangdong Natural Science FoundationGuangdong Provincial Humanities and Social Sciences Innovation Team Project

项目编号：

19ATJ0042019A15151102672020WCXTD008

出版年：

2023

DOI：

10.3868/s060-016-023-0016-7

当代中国经济转型研究(英文版)

ISSN：

年,卷(期)：2023.6(3)

参考文献量11