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.T...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"mountainshaped"spatial lpattern of the high-level homogeneous regions withh"highhigh correlation"and the lowlevel 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 scopeof 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 tetechnological 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-HonggKong-Macao Greater Bay Area.In doing so,it aims to identify problems and present pertinent policy recommendations.展开更多
基金the key project of National Social Science Foundation of China"Research on Statistical Measurement and Decision Support System of the Coordinated Development Mechanism System ofthe Guangdong-Hong Kong-Macao Greater Bay Area"(No.19ATJ004)the project of Guangdong Natural Science Foundation"Stochastic Frontier Models from the Endogeneity Perspective:Estimation,Testing and Application"(No.2019A1515110267)the Guangdong Provincial Humanities and Social Sciences Innovation Team Project(No.2020WCXTD008).
文摘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"mountainshaped"spatial lpattern of the high-level homogeneous regions withh"highhigh correlation"and the lowlevel 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 scopeof 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 tetechnological 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-HonggKong-Macao Greater Bay Area.In doing so,it aims to identify problems and present pertinent policy recommendations.
