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Digital Economy Empowers Innovative Strategies for Activating Sleeping Resources in the Guangdong-Hong Kong-Macao Greater Bay Area 认领 引用
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作者 Jingran Ji Wenru Gu +3 位作者 Yongjie Gui Xiong Deng Jin Peng Zhenfeng Zhu 《Proceedings of Business and Economic Studies》 2026年第2期18-23,共6页
This study focuses on the innovative pathways through which the digital economy enables the activation of sleeping resources in the Guangdong-Hong Kong-Macao Greater Bay Area(GBA).It demonstrates the effectiveness of ... This study focuses on the innovative pathways through which the digital economy enables the activation of sleeping resources in the Guangdong-Hong Kong-Macao Greater Bay Area(GBA).It demonstrates the effectiveness of digital technologies in revitalizing idle resources by constructing a“Digital Bay Area”collaborative platform,integrating government and enterprise data resources,and analyzing three typical cases:China Mobile’s“5G+Smart Agriculture”pilot,Dongguan’s“Characteristic Industry IP+Digital Economy”model,and Shenzhen’s cross-border logistics upgrading practice.The research finds that resource activation requires supporting institutional innovations to break regional barriers,which can provide practical references for the optimal allocation of resources in the GBA and facilitate the region’s high-quality development. 展开更多
关键词 Sleeping resources Guangdong-Hong Kong-Macao Greater Bay Area(GBA) Economic transformation Digital economy
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Optimizing land cover planning for carbon neutrality:Policy insights from scenario-based vegetation carbon sink assessment in the Guangdong-Hong Kong-Macao Greater Bay Area,China 认领 引用
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作者 WEN Youyue CHEN Zhichao +1 位作者 CAI Saoman YANG Jian 《Regional Sustainability》 CAS CSCD 2026年第4期37-56,共20页
Mitigating national climate change requires achieving carbon neutrality,necessitating innovative land cover strategies that reconcile economic development with enhanced carbon sinks,particularly in rapidly urbanizing ... Mitigating national climate change requires achieving carbon neutrality,necessitating innovative land cover strategies that reconcile economic development with enhanced carbon sinks,particularly in rapidly urbanizing megaregions such as the Guangdong-Hong Kong-Macao Greater Bay Area(GBA)in China.This study developed a novel assessment framework that integrates Multi-Objective Programming(MOP)land cover simulations with a Carbon Neutrality Effect(CNE)matrix and a neighborhood proxy method.This framework provides a quantitative evaluation of vegetation carbon sink dynamics resulting from land cover transitions during 2020-2060 under four scenarios:economic development first(ED),carbon neutrality first(EC),sustainable development(EDC),and natural development(EN).Model validation achieved high accuracy(Kappa coefficient=0.77,Overall Accuracy(OA)=0.84).Projected land cover changes revealed distinct transition patterns.Specifically,under the ED and EN scenarios,land cover changes will dominate by the expansion of urban area at the losses of grassland and crop land;under the EC scenario,the new forested land is primarily from crop land and grassland;and under the EDC scenario,urban area and forested land will achieve simultaneous expansion.Moreover,this study found the net vegetation carbon losses of 51.43×1010and 274.54×1010g C under the ED and EN scenarios,respectively,undermining carbon neutrality.In contrast,there will be a significant net carbon gain(64.52×1010g C)under the EC scenario.Crucially,the EDC scenario demonstrates a viable balance,minimizing vegetation carbon loss(7.00×1010g C)while substantially enhancing both socioeconomic benefit(1.34×1012CNY/a)and vegetation carbon sink benefit(0.15×1012CNY/a).This study underscores the critical role of optimized land cover planning in fostering synergistic economic growth and carbon neutrality.The findings provide actionable insights for the implementation of‘Dual Carbon’strategy in the GBA and serve as a valuable reference for sustainable land management in climate-vulnerable coastal megacities worldwide. 展开更多
关键词 Multi-Objective Programming(MOP) Carbon neutrality effect(CNE) matrix Economic development first(ED) Carbon neutrality first(EC) Sustainable development(EDC) Natural development(EN) Guangdong-Hong Kong-Macao Greater Bay Area(GBA)
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Mechanism Synergy and Spatial Restructuring:An Empirical Study on the Configurational Generation Mechanism of Educational Confidence in Private Colleges and Universities in the Guangdong-Hong Kong-Macao Greater Bay Area 认领 引用
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作者 Feiqing Huang Yanhua Liu 《Journal of Contemporary Educational Research》 2026年第2期155-165,共11页
Based on fsQCA and multi-case tracking data from 15 private colleges and universities in the Guangdong-Hong Kong-Macao Greater Bay Area(GBA),this study explores the generation mechanism of educational confidence in pr... Based on fsQCA and multi-case tracking data from 15 private colleges and universities in the Guangdong-Hong Kong-Macao Greater Bay Area(GBA),this study explores the generation mechanism of educational confidence in private colleges and universities under the dual tension of market logic and public welfare logic.The empirical results show that:(1)The formation of educational confidence presents three differentiated paths:mechanism synergy(synergy between resource coordination support and industry relevance),market-responsive(dynamic matching between spatial embedding and industrial resources),and ecologically symbiotic(coupling of three elements:institution-resource-space).Among them,the critical value of industry relevance(0.7)has a significant impact on the improvement of educational confidence(β=0.42,P<0.01);(2)Private colleges and universities realize the transformation of development paradigm by constructing a three-dimensional mechanism of“resource reciprocity-spatial coordination-institutional innovation,”and typical cases show that the employment rate of their graduates in the GBA has increased by 28%;(3)Cross-border industry-university-research cooperation enhances the institutional legitimacy of educational confidence through the knowledge transfer effect(path coefficient 0.67).The study proposes suggestions such as constructing a GBA-characteristic industry-education integration evaluation system,providing a theoretical reference for the governance of private higher education. 展开更多
关键词 Guangdong-Hong Kong-Macao Greater Bay Area Private colleges and universities Educational confidence Institutional logic Industry-education integration
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Efficiency Evaluation and Barrier Analysis of Blockchain Technology Application in Cross-Border Trade Finance:A Case Study of Supply Chain Finance in the Guangdong-Hong Kong-Macao Greater Bay Area 认领 引用
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作者 Jingdong Huang Xinyi Zhang Hao Jin 《Proceedings of Business and Economic Studies》 2026年第1期14-22,共9页
Under the special institutional environment of“One country,Two systems,and Three jurisdictions”in the Guangdong-Hong Kong-Macao Greater Bay Area(GBA),cross-border trade finance faces prominent information asymmetry ... Under the special institutional environment of“One country,Two systems,and Three jurisdictions”in the Guangdong-Hong Kong-Macao Greater Bay Area(GBA),cross-border trade finance faces prominent information asymmetry and institutional frictions.Existing studies lack quantitative evaluation of blockchain technology’s application efficiency in this context and systematic analysis of barrier mechanisms.This paper constructs an analytical framework of“technological characteristics-financing process-efficiency output”,using the DEA-BCC model,Malmquist index,grounded theory,and ISM-ANP model for empirical analysis.The results showed that blockchain significantly empowers cross-border trade finance,with total factor productivity(TFP)increasing by 14%in 2023-2024,mainly driven by technological efficiency improvement.Core enterprises(comprehensive technical efficiency 0.82)outperform SMEs(0.65),showing a“Matthew Effect”.Moreover,barriers form a three-level structure of“underlying root-middle-level transmission-surface manifestations”,with technical(weight 0.32)and institutional barriers(0.28)as core constraints,especially insufficient cross-border regulatory coordination(0.12)and inconsistent cross-chain standards(0.10).Prioritizing these underlying barriers is key to breaking“digital silos”,and the proposed hierarchical governance strategy provides support for GBA financial infrastructure interconnection. 展开更多
关键词 Blockchain technology Cross-border trade finance DEA-Malmquist ISM-ANP model Guangdong-Hong Kong-Macao Greater Bay Area
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Enlightenment of the comparison of innovative cities in the Guangdong-Hong Kong-Macao Greater Bay Area to urban innovation in Dongguan 认领 引用
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作者 Yanting Zhong 《Journal of Applied Economics and Policy Studies》 2026年第7期30-37,共8页
The innovation patterns of cities in the Guangdong-Hong Kong-Macao Greater Bay Area(GBA)show prominent differentiation.Shenzhen takes original innovation and high-intensity Research and Development(R&D)investment ... The innovation patterns of cities in the Guangdong-Hong Kong-Macao Greater Bay Area(GBA)show prominent differentiation.Shenzhen takes original innovation and high-intensity Research and Development(R&D)investment as the core driver of urban innovation;Guangzhou focuses on scientific and educational resources and comprehensive innovation.Although Dongguan is a strong manufacturing city with R&D intensity ranking among the top in the GBA,it still faces shortcomings such as weak basic research,insufficient high-end talents,an imperfect achievement transformation chain,and inadequate collaborative innovation mechanisms compared with Guangzhou,Shenzhen,Hong Kong and Macao.By comparing the innovation capabilities of core cities in the GBA,this paper identifies the bottlenecks of urban innovation in Dongguan and proposes development paths,providing a reference for the construction of an innovative city in Dongguan. 展开更多
关键词 Guangdong-Hong Kong-Macao Greater Bay Area urban innovation Dongguan
Logistics Measurement and Influencing Factors of Guangdong-Hong Kong-Macao Greater Bay Area Urban Agglomeration 认领 引用
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作者 Rong Liu Weibin Zhao Huiting Chen 《Proceedings of Business and Economic Studies》 2025年第7期188-195,共8页
This study examines 11 cities in the Guangdong-Hong Kong-Macao Greater Bay Area,focusing on regional logistics efficiency disparities and their driving mechanisms.Using 2023 statistical data,the DEA-BCC model was appl... This study examines 11 cities in the Guangdong-Hong Kong-Macao Greater Bay Area,focusing on regional logistics efficiency disparities and their driving mechanisms.Using 2023 statistical data,the DEA-BCC model was applied to measure logistics efficiency across three dimensions:technical efficiency,scale efficiency,and comprehensive efficiency.Empirical analysis through the Tobit regression model revealed the influence of key factors,including openness and economic development levels.These conclusions provide a scientific basis for optimizing logistics resource allocation and enhancing efficiency in the Greater Bay Area. 展开更多
关键词 Guangdong-Hong Kong-Macao Greater Bay Area Logistics efficiency DEA-BCC model Tobit regression
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Transport Accessibility and Spatial Connections of Cities in the Guangdong-Hong Kong-Macao Greater Bay Area 认领 引用 被引量：10
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作者 CAO Xiaoshu OUYANG Shishu +3 位作者 YANG Wenyue LUO Yi LI Baochao LIU Dan 《Chinese Geographical Science》 SCIE CSCD 2019年第5期820-833,共14页
Based on geographic information system(GIS) spatial analysis technology, the spatial pattern of raster grid transport accessibility for the Guangdong-Hong Kong-Macao Greater Bay area was studied and the states of spat... Based on geographic information system(GIS) spatial analysis technology, the spatial pattern of raster grid transport accessibility for the Guangdong-Hong Kong-Macao Greater Bay area was studied and the states of spatial connectedness were simulated using highway passenger transport, railway passenger transport, port passenger transport and aviation passenger transport data. The result shows that transport accessibility within the Guangdong-Hong Kong-Macao Greater Bay area costs ‘one hour’ and the spatial distribution of accessibility in the area presents clear ‘core-periphery’ spatial characteristics, with Guangzhou, Foshan, Shenzhen constituting the core. The transport accessibility of Guangdong-Hong Kong-Macao is high. Average accessibility of urban nodes as measured by travel time is 0.99 h, and the areas accessible within 1.42 h occupy 79.14% of the total area. Most of the areas with the lowest accessibility are found in the peripheral area, with the worst accessibility being 4.73 h. Compared with the west-side cities, the economically developed east-side cities of the Guangdong-Hong Kong-Macao Greater Bay area have higher connectivity with roads, railways, ports, and aviation transport. Guangzhou, Foshan, Zhuhai, Shenzhen, Hong Kong and Macao are closely linked. The higher the accessibility, the closer the intercity connectedness. 展开更多
关键词 transport accessibility urban spatial connection Guangdong-Hong Kong-Macao Greater Bay Area China
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The pattern,evolution,and mechanism of venture capital flows in the Guangdong-Hong Kong-Macao Greater Bay Area,China 认领 引用 被引量：8
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作者 WU Kangmin WANG Yang +3 位作者 ZHANG Hong’ou LIU Yi YE Yuyao YUE Xiaoli 《Journal of Geographical Sciences》 SCIE CSCD 2022年第10期2085-2104,共20页
As an important innovation flow,venture capital has been examined in urban network research.However,the segmentation of capital categories and the cross-scale connection of capital remain scarcely analyzed.This study ... As an important innovation flow,venture capital has been examined in urban network research.However,the segmentation of capital categories and the cross-scale connection of capital remain scarcely analyzed.This study focuses on the structure and industry differentiation of venture capital flows in the Guangdong-Hong Kong-Macao Greater Bay Area(GBA)and its cross-scale network characteristics.Based on a venture capital database covering capital amount,investment subject address information,and industry information(2000-2018),this article examines the spatial distribution and network structure of venture capital in the GBA by means of a distance-based test of spatial concentration approach and social network analysis.Key findings show that:(1)Venture capital institutions and startups in the GBA present a high-concentration distribution pattern.In the past 20 years,venture capital activities in the GBA have substantially increased,forming a complex urban network structure with Guangzhou,Shenzhen,and Hong Kong as the core of this network.(2)Different types of venture capital show significantly different urban network structures,with manufacturing,the Internet industry,the financial sector,the cultural media industry,and the medical and health industry as the five industry types with the largest capital flow in the GBA.(3)Cross-scale research on the venture capital network reveals the position of the GBA as a capital hub in China,which forms a dense venture capital connection network with major cities on a national scale.(4)The network structure of venture capital in the GBA is influenced by multi-dimensional proximity,institutional factors,urban economy,and path dependence.Along with these three key mechanisms,the GBA has grown into a national-scale and even global-scale venture capital center. 展开更多
关键词 venture capital Guangdong-Hong Kong-Macao Greater Bay Area collaboration scale
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Assessing multi-spatial driving factors of urban land use transformation in megacities:a case study of Guangdong-Hong Kong-Macao Greater Bay Area from 2000 to 2018 认领 引用 被引量：1
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作者 Yuan Meng Man Sing Wong +2 位作者 Mei-Po Kwan Jamie Pearce Zhiqiang Feng 《Geo-Spatial Information Science》 SCIE EI CSCD 2024年第4期1090-1106,共17页
Rapid morphological and socioeconomic changes have accelerated the urbanization process and urban land use transformation in China.Megacities comprise clusters of urban cities and exhibit both newly formed and well-de... Rapid morphological and socioeconomic changes have accelerated the urbanization process and urban land use transformation in China.Megacities comprise clusters of urban cities and exhibit both newly formed and well-developed urban land use development beyond administrative boundaries.It is necessary to distinguish the changing effects of spatial-varying driving factors on newly formed urban land uses from well-developed built-up areas in megacities.This study proposed a multi-spatial urbanization framework to quantify region-level socioeconomics,cluster-level ecological morphologies,and grid-level urban functional morphologies.A three-level Bayesian hierarchical model was developed to investigate the impacts of multi-spatial driving factors on urban land use transformation in megacities.The study period focused on the urbanization process between 2000 and 2018 in Guangdong-Hong Kong-Macao Greater Bay Area(GBA).Results revealed that compared with well-developed urban built-up land,changing impacts of three-level driving factors in urban land use transformation could be captured based on the proposed Bayesian hierarchical model.The region-level total population was associated with increasing possibilities in forming new residential land than the well-developed ones in 35 districts/counties/cities in GBA.Cluster-level ecological attributes with higher proportion,lower edge density of urban built areas,and lower-degree ecological complexity showed increasing probability on newly formed industrial and public land.Grid-level urban functional factors including public transportation density and shopping/dining distribution exhibited significantly decreasing probability(coefficients:−2.12 to−0.51)on contributing newly formed land uses compared with the well-developed areas,whereas business/industry distribution represented higher(coefficients:0.99 and 0.15)and lower probabilities(coefficient:−0.22)of forming industrial/public land and residential land separately.This research shows a new attempt to distinguish multi-spatial morphological and socioeconomic effects in urban land use transformation in megacities. 展开更多
关键词 Urban function ecological morphology socioeconomics megacities Bayesian hierarchical model Guangdong-Hong Kong-Macao Greater Bay Area(GBA)
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Identifying Spatial Heterogeneity in the Effects of High-Tech Firm Density on Housing Prices:Evidence from Guangdong-Hong Kong-Macao Greater Bay Area,China 认领 引用 被引量：1
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作者 WANG Yang WU Kangmin +2 位作者 ZHANG Hong’ou LIU Yi YUE Xiaoli 《Chinese Geographical Science》 SCIE CSCD 2023年第2期233-249,共17页
Innovation capitalization is a new concept in innovation geography research.Extant research on a city scale has proven that innovation is an important factor affecting housing prices and verified that innovation has a... Innovation capitalization is a new concept in innovation geography research.Extant research on a city scale has proven that innovation is an important factor affecting housing prices and verified that innovation has a capitalization effect.However,few studies investigate the spatial heterogeneity of innovation capitalization.Thus,case verification at the urban agglomeration scale is needed.Therefore,this study proposes a theoretical framework for the spatial heterogeneity of innovation capitalization at the urban agglomeration scale.Examining the Guangdong-Hong Kong-Macao Greater Bay Area(GHMGBA),China as a case study,the study investigated the spatial heterogeneity of the influence of high-tech firms,representing innovation,on housing prices.This work verified the spatial heterogeneity of innovation capitalization.The study constructed a data set influencing housing prices,comprising 11 factors in 5 categories(high-tech firms,convenience of living facilities,built environment,the natural environment,and the fundamentals of the districts)for 419 subdistricts in the GHMGBA.On the global scale,the study finds that high-tech firms have a significant and positive influence on housing prices,with the housing price increasing by 0.0156%when high-tech firm density increases by 1%.Furthermore,a semi-geographically weighted regression(SGWR)analysis shows that the influence of high-tech firms on housing prices has spatial heterogeneity.The areas where high-tech firms have a significant and positive influence on housing prices are mainly in the GuangzhouFoshan metropolitan area,western Shenzhen-Dongguan,north-central Zhongshan-Nansha district,and Guangzhou—all areas with densely distributed high-tech firms.These results confirm the spatial heterogeneity of innovation capitalization and the need for further discussion of its scale and spatial limitations.The study offers implications for relevant GHMGBA administrative authorities for spatially differentiated development strategies and housing policies that consider the role of innovation in successful urban development. 展开更多
关键词 innovation capitalization high-tech firms housing prices spatial heterogeneity semi-geographically weighted regression(SGWR) Guangdong-Hong Kong-Macao Greater Bay Area(GHMGBA)
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Characteristics and Diagnosis of the Landfalling Tropical Cyclones in the Guangdong-Hong Kong-Macao Greater Bay Area of China During 1981-2018 认领 引用
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作者 WANG Yu-jie YIN Yi-zhou SONG Lian-chun 《Journal of Tropical Meteorology》 SCIE 2021年第3期246-258,共13页
This paper applies statistical and synthetic analysis methods to study the characteristics of the three types of tropical cyclone(TC) that landed in the Guangdong-Hong Kong-Macao Greater Bay Area(GBA) from 1981 to2018... This paper applies statistical and synthetic analysis methods to study the characteristics of the three types of tropical cyclone(TC) that landed in the Guangdong-Hong Kong-Macao Greater Bay Area(GBA) from 1981 to2018 and the reasons for the differences of TC-induced wind and precipitation. The results show that there are interdecadal changes in the frequency and intensity of the landfalling TCs in the GBA, with decreased frequency but increased intensity in the 2010 s. The TCs that landed in the west of the Pearl River Estuary(PRE) have the highest frequency and the strongest intensity during landing, which bring the strongest winds;the TCs that landed in the PRE have the lowest frequency and the shortest duration after landing, which cause the strongest precipitation;the TCs that landed in the east of the PRE have the longest duration on the land. This study shows that near the center of the TCs that landed in the PRE, there is a weak anomalous cyclonic shear compared with the ones that landed in the west of the PRE. It is a confluence area of anomalous north wind and anomalous southwest wind, with better water vapor convergence and dynamic rising conditions, which is conducive to the formation of heavy precipitation.Compared with the TCs that landed in the PRE and in its east, there is a closed positive anomalous center of pressure gradient in the northwest center of the TCs that landed in its west, resulting in higher wind speeds in the west of the PRE. The characteristics of the three types of TCs in the GBA are highly related to TC-induced damage.In the future, the GBA needs to focus on preparing for TCs landing in its west. Zhuhai, Jiangmen and Huizhou are key cities to guard against TCs. The results of this study provide foundations for effective management and reduction of TC disaster risks in the future development of the GBA. 展开更多
关键词 landfalling TCs characteristics diagnosis Guangdong-Hong Kong-Macao Greater Bay Area
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Rapid Urbanization Induced Extensive Forest Loss to Urban Land in the Guangdong-Hong Kong-Macao Greater Bay Area, China 认领 引用 被引量：7
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作者 YANG Chao LIU Huizeng +7 位作者 LI Qingquan CUI Aihong XIA Rongling SHI Tiezhu ZHANG Jie GAO Wenxiu ZHOU Xiang WU Guofeng 《Chinese Geographical Science》 SCIE CSCD 2021年第1期93-108,共16页
China has experienced rapid urbanizations with dramatic land cover changes since 1978. Forest loss is one of land cover changes, and it induces various eco-environmental degradation issues. As one of China’s hotspot ... China has experienced rapid urbanizations with dramatic land cover changes since 1978. Forest loss is one of land cover changes, and it induces various eco-environmental degradation issues. As one of China’s hotspot regions, the Guangdong-Hong KongMacao Greater Bay Area(GBA) has undergone a dramatic urban expansion. To better understand forest dynamics and protect forest ecosystem, revealing the processes, patterns and underlying drivers of forest loss is essential. This study focused on the spatiotemporal evolution and potential driving factors of forest loss in the GBA at regional and city level. The Landsat time-series images from 1987 to2017 were used to derive forest, and landscape metrics and geographic information system(GIS) were applied to implement further spatial analysis. The results showed that: 1) 14.86% of the total urban growth area of the GBA was obtained from the forest loss in1987–2017;meanwhile, the forest loss area of the GBA reached 4040.6 km2, of which 25.60%(1034.42 km2) was converted to urban land;2) the percentages of forest loss to urban land in Dongguan(19.14%), Guangzhou(18.35%) and Shenzhen(15.81%) were higher than those in other cities;3) the forest became increasingly fragmented from 1987–2007, and then the fragmentation decreased from2007 to 2017);4) the landscape responses to forest changes varied with the scale;and 5) some forest loss to urban regions moved from low-elevation and gentle-slope terrains to higher-elevation and steep-slope terrains over time, especially in Shenzhen and Hong Kong.Urbanization and industrialization greatly drove forest loss and fragmentation, and, notably, hillside urban land expansion may have contributed to hillside forest loss. The findings will help policy makers in maintaining the stability of forest ecosystems, and provide some new insights into forest management and conservation. 展开更多
关键词 forest loss to urban land urbanization spatiotemporal pattern remote sensing Guangdong-Hong Kong-Macao Greater Bay Area(GBA)
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Exploring diurnal and seasonal variabilities in surface urban heat island intensity in the Guangdong-Hong Kong-Macao Greater Bay Area 认领 引用 被引量：3
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作者 XU Xianjiong WU Yaowei +2 位作者 LIN Gangte GONG Jianzhou CHEN Kanglin 《Journal of Geographical Sciences》 SCIE CSCD 2024年第8期1472-1492,共21页
The urban heat island(UHI) is an environmental problem of wide concern because it poses a threat to both the human living environment and the sustainable development of cities. Knowledge of the spatiotemporal characte... The urban heat island(UHI) is an environmental problem of wide concern because it poses a threat to both the human living environment and the sustainable development of cities. Knowledge of the spatiotemporal characteristics and the driving factors of UHI is essential for mitigating their impact. However, current understanding of the UHI in the Guangdong–Hong Kong–Macao Greater Bay Area(GBA) is inadequate. Combined with data(e.g., land surface temperature and land use.) acquired from the Google Earth Engine and other sources for the period 2001–2020, this study examined the diurnal and seasonal variabilities, spatial heterogeneities, temporal trends, and drivers of surface UHI intensity(SUHII) in the GBA. The SUHII was calculated based on the urban–rural dichotomy, which has been proven an effective method. The average SUHII was generally 0–2°C, and the SUHII in daytime was generally greater than that at night. The maximum(minimum) SUHII was found in summer(winter);similarly, the largest(smallest) diurnal difference in SUHII was during summer(winter). Generally, the Mann–Kendall trend test and the Sen's slope estimator revealed a statistically insignificant upward trend in SUHII on all time scales. The influence of driving factors on SUHII was examined using the Geo-Detector model. It was found that the number of continuous impervious pixels had the greatest impact, and that the urban–rural difference in the enhanced vegetation index had the smallest impact, suggesting that anthropogenic heat emissions and urban size are the main influencing factors. Thus, controlling urban expansion and reducing anthropogenic heat generation are effective approaches for alleviating surface UHI. 展开更多
关键词 surface urban heat island spatiotemporal pattern driving forces urban size anthropogenic heat emissions Guangdong-Hong Kong-Macao Greater Bay Area
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Three-dimensional S-wave velocity structure of the upper crust in the Guangdong-Hong Kong-Macao Greater Bay Area:insights into the basins structure and genesis of hot springs 认领 引用 被引量：2
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作者 Yingchen LIU Shaohong XIA +1 位作者 Changrong ZHANG Xinyang WANG 《Journal of Oceanology and Limnology》 SCIE CAS CSCD 2023年第2期575-591,共17页
As one of the four largest bay areas with strong economic activities in the world,the Guangdong-Hong Kong-Macao Greater Bay Area(GHMGBA)is located in the zone of interaction between the South China Block(SCB)and the S... As one of the four largest bay areas with strong economic activities in the world,the Guangdong-Hong Kong-Macao Greater Bay Area(GHMGBA)is located in the zone of interaction between the South China Block(SCB)and the South China Sea(SCS).Under the influence of complex geologic evolution,basin-range structures,fault systems and hot springs are well developed here.However,the characteristics of geological structures and the genetic mechanism of these geological phenomena are still unclear.Therefore,we performed ambient noise tomography to obtain 3-D upper crust(0-7.5 km)S-wave velocity structures of the GHMGBA by using 40-day continuous waveform data from 130 seismic stations in the GHMGBA.Our results show that sedimentary basins in the GHMGBA are mainly characterized by low-velocity anomalies.S-wave velocities of sediment formation in basins are about 2.8-3.1 km/s.Rapid changes in velocity appear at the edges of the basins,which correspond to the NE-,NEE-,and NW-trending faults,indicating prominent basin-controlling effects of the faults.The Sanshui Basin(SSB),the largest in the GHMGBA,has a developmental depth of about 4 km,and there is a significant difference in velocity gradient between the east and west sides of the basin,indicating that SSB has experienced east-west asymmetric expansion.Moreover,there are prominent low-velocity anomalies at a depth of about 4.5 km beneath the hot springs at the west of the Zhujiang(Pearl)River estuary(ZRE).We infer that the low-velocity anomalies are fluid reservoirs of the hot springs,which lead to the development of the hot springs on the surface.In addition,the distribution of main cities in the GHMGBA shows a spatial correlation with low-velocity areas at shallow depths(<3 km).The population development trend in the GHMGBA in the past 20 years is also mainly concentrated in the structural province of relatively low-velocity.In combination with the GHMGBA basin structures and drainage distribution characteristics,we suggest that the basic geological environment to some extent affects the habitability of the human settlement and thus determines the distribution and development trend of the main urban context.We believe that the 3-D S-wave velocity structure of the upper crust of the GHMGBA obtained in this study,as well as the deep structural characteristics of the basins and hot springs,will provide support to urban construction planning and geological hazards research of the GHMGBA. 展开更多
关键词 Guangdong-Hong Kong-Macao Greater Bay Area(GHMGBA) ambient noise tomography crustal structure basin hot spring
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Toward a more open and collaborative climate change policy framework in Hong Kong and Macao within the Guangdong-Hong Kong-Macao Greater Bay Area 认领 引用
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作者 Coco Du Christine Loh 《Chinese Journal of Population,Resources and Environment》 2020年第3期179-187,共9页
The special administrative regions of Hong Kong and Macao enjoy a high degree of autonomy from the national policy system in devising their local policies,including measures related to climate change.Hong Kong and Mac... The special administrative regions of Hong Kong and Macao enjoy a high degree of autonomy from the national policy system in devising their local policies,including measures related to climate change.Hong Kong and Macao each have their own climate change policies,some aspects of which are more advanced than policies in China's Mainland.While their high degree of policy autonomy has advantages,this has also isolated them from China's larger environmental management and practices that continue to advance at scale.This paper reviews the climate change policies of the two special administrative regions and analyzes their strengths and innovations,particularly in adaptation.It also identifies areas where there could be closer engagement,collaboration,and capacity-building with the China's Mainland,which has the potential for greater positive impacts,especially on a regional basis. 展开更多
关键词 Climate change policy High degree of autonomy Hong Kong Macao Guangdong-Hong Kong-Macao Greater Bay Area Collaboration
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URBAN TOURISM RESEARCH METHODOLOGY——A Case Study of Guangdong-Hong Kong-Macao Area 认领 引用
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作者 TAOWei ZHONGWen-hui HONGYan 《Chinese Geographical Science》 SCIE 2005年第2期173-178,共6页
This paper tries to apply a new and more comprehensive method to urban tourism research in an expanded field instead of only partially, unilaterally and separately focusing on the city itself. Taking the urban tourism... This paper tries to apply a new and more comprehensive method to urban tourism research in an expanded field instead of only partially, unilaterally and separately focusing on the city itself. Taking the urban tourism of Guangdong, Hong Kong and Macao as an example, it aims at presenting a new spatial system of urban tourism research and pointing out the new orientation of urban tourism research in combination of macro level and micro level, from description to explanation. The meanings of the spatial framework construction for urban tourism study are to make clear how urban tourism studies vary with the changes of dimensions of time and space. This is a meaningful discussion because it will bring great changes to the using of literatures, the opening of research perspectives on urban tourism and the upgrading of theories, so as to create a new stage for urban tourism study. 展开更多
关键词 urban tourism region research method Guangdong-Hong Kong-Macao area
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Guangdong-Hong Kong-Macao Institute for CNS Regeneration(GHMICR) 认领 引用
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《Neural Regeneration Research》 SCIE CAS CSCD 2014年第15期F0003-F0003,共1页
Guangdong-Hongkong-Macao Institute for CNS Regeneration （GHMICR） at Jinan University was established in November, 2011, converted from previous Joint Laboratory of Brain Function and Health, Iinan University ＆ the ... Guangdong-Hongkong-Macao Institute for CNS Regeneration （GHMICR） at Jinan University was established in November, 2011, converted from previous Joint Laboratory of Brain Function and Health, Iinan University ＆ the University of Hong Kong. It is honored with Guangdong Key Laboratory of Brain Function and Disease, and Guangdong-ttongkong-Macao Collaborative Innovation Center of Tissue Regeneration and Repair. It is also qualified as a base for Masters and PhD student education in neurobiology. 展开更多
关键词 CNS GHMICR Guangdong-Hong Kong-Macau Institute for CNS Regeneration
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Guangdong-Hong Kong-Macao Institute for CNS Regeneration(GHMICR) 认领 引用
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《Neural Regeneration Research》 SCIE CAS CSCD 2014年第16期F0003-F0003,共1页
Guangdong-Hongkong-Macao Institute for CNS Regeneration （GHMICR） at Jinan University was established ill Nm, ember, 2011, converted from previous Joint Laboratory of Brain Function and Health, Jinan University 8〈 t... Guangdong-Hongkong-Macao Institute for CNS Regeneration （GHMICR） at Jinan University was established ill Nm, ember, 2011, converted from previous Joint Laboratory of Brain Function and Health, Jinan University 8〈 the University of ttong Kong. It is honored with Guangdong Key Laboratory of Brain Function and Disease, and Guangdong-Hongkong-Macao Collaborative Innovation Center of Tissue Regeneration and Repair. It is also qualified as a base for Masters and PhD student education in neurobiology. 展开更多
关键词 CNS Guangdong-Hong Kong-Macau Institute for CNS Regeneration GHMICR
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Research on the Development of Vocational Education Standard System in the Guangdong-Hong Kong-Macao Greater Bay Area 认领 引用
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作者 WANG Yu 《US-China Education Review(A)》 2024年第5期307-318,共12页
The development of a vocational education standard system in the Guangdong-Hong Kong-Macao Greater Bay Area embodies the fundamental laws of integration between industry and education.It serves the intrinsic need for ... The development of a vocational education standard system in the Guangdong-Hong Kong-Macao Greater Bay Area embodies the fundamental laws of integration between industry and education.It serves the intrinsic need for a talent hub and is essential for the sustainable development of vocational education in the area.While certain achievements have been made in higher vocational education cooperation across the cluster,there are notable differences in industrial foundations,economic systems,and cultures among the three regions.The main body responsible for the development of vocational education standards in the Bay Area remains undefined,with unclear development mechanisms and significant disparities in regional resource endowments,which undermine the support for governance integration of education and industry.The Greater Bay Area should establish a main body for vocational education standards development,construct a standard system framework,engage intermediary organizations in standard governance,and complete the formulation of a vocational education standard system. 展开更多
关键词 Guangdong-Hong Kong-Macao Greater Bay Area vocational education resource endowment framework mapping
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Research on the Joint Development of Cities of Guangdong-Hong Kong-Macao Greater Bay Area: A Case Study of Foshan City 认领 引用
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作者 Mingyang Luo 《Proceedings of Business and Economic Studies》 2021年第5期1-7,共7页
Promoting the construction of Guangdong-Hong Kong-Macao Greater Bay Area is a major policy decision and national strategy made by the central government of China,which significantly supports the Belt and Road Initiati... Promoting the construction of Guangdong-Hong Kong-Macao Greater Bay Area is a major policy decision and national strategy made by the central government of China,which significantly supports the Belt and Road Initiative and maintains the long-term prosperity for the whole country.As an important part of the Guangdong-Hong Kong-Macao Greater Bay Area,Foshan needs to find its own position and direction in order to accelerate the joint development with other cities through five measures. 展开更多
关键词 Guangdong-Hong Kong-Macao Greater Bay Area Joint development City integration Sanlong Bay innovation cluster Manufacturing industry innovation
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