scholarly journals A Study on Economic Spatial Structure of Urban Agglomerations in Guangdong-Hong Kong-Macao Greater Bay Area

2018 ◽  
Vol 13 (10) ◽  
pp. 63
Author(s):  
Jincheng Yang ◽  
Xinqu Xia ◽  
Mu Zhang
Keyword(s):  
Hong Kong ◽  
Centrality Measures ◽  
Analysis Method ◽  
Topsis Method ◽  
Urban Agglomerations ◽  
Urban Economic ◽  
The Core ◽  
Bay Area ◽  
Network Connection ◽  
Density Analysis

Based on the multi-index data of 11 cities in Guangdong-Hong Kong-Macao Greater Bay in 2016, the urban economic quality was calculated by TOPSIS method. Applying the modified gravitational model, the economy spatial linkage characteristics of core city-to-periphery city and periphery city-to-periphery city were analyzed. In addition, based on the method of network density analysis, centrality measures, core-periphery structure analysis to make a further verification about facts carried out from spatial connection analysis. This study shows that the Guangdong-Hong Kong-Macao Bay has an obvious core-periphery structure, and the overall economic network connection of Greater Bay is not strong. Guangdong-Shenzhen-Hong Kong is the core urban agglomeration in the Greater Bay Area. Dongguan and Foshan are transforming from marginal cities to semi-marginal cities. The marginal cities are limited by geographical distance or the economic environment, which leads to their development far behind the overall development of the Greater Bay Area. Finally, combined with the new wooden barrel theory and location advantage analysis method, advices were carried out to build a higher-level of the Greater Bay Area in future by dividing the Greater Bay Area into three major urban agglomerations. Urban agglomerations were proposed to meet the resources and industrial demands of the core urban imperfections and drive the economic development of the marginal cities at the same time.

scholarly journals Urban Innovation Efficiency Improvement in the Guangdong–Hong Kong–Macao Greater Bay Area from the Perspective of Innovation Chains

Land ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1164
Author(s):  
Wenzhong Ye ◽  
Yaping Hu ◽  
Lingming Chen
Keyword(s):  
Hong Kong ◽  
Product Innovation ◽  
Industrial Structure ◽  
Scientific Research ◽  
Main Body ◽  
Regional Economic ◽  
Urban Agglomerations ◽  
Bay Area ◽  
Knowledge Innovation ◽  
Countermeasures And Suggestions

Against the background of globalization and informatization, innovation is the primary driving force for regional economic and social development. Urban agglomerations are the main body of regional participation in global competition, and promoting the construction of the Guangdong–Hong Kong–Macao Greater Bay Area is an important strategy for China’s regional economic development. Aimed at the differences in location advantages among cities in the Guangdong–Hong Kong–Macao Greater Bay Area, based on the theory of innovation chain, we developed a three-stage model of “knowledge innovation-scientific research innovation-product innovation”. A three-stage DEA model was used to measure the innovation efficiency of cities in the Greater Bay Area at different stages, and two progressive two-dimensional matrices are constructed to locate the innovation development of cities according to the efficiency value. The results show the following: ① The overall innovation efficiency of the Greater Bay Area urban agglomerations gradually decreased in the process from knowledge innovation and scientific research innovation to product innovation, and the innovation efficiency among cities was unbalanced. ② Shenzhen, Guangzhou, and Hong Kong all performed well in the whole innovation stage, while other cities in the Greater Bay Area showed weakness in innovation at different stages. Based on this, this paper puts forward relevant countermeasures and suggestions for promoting and optimizing collaborative innovation in the Greater Bay Area taking into account factor flow, industrial structure, and innovation network of urban agglomerations.

scholarly journals Comparative analysis of Beijing-Tianjin-Hebei urban agglomeration, Yangtze river delta urban agglomeration, Guangdong, Hong Hong and Macau Bay area based on gravity model

2019 ◽  
Author(s):  
Nan Huihui ◽  
◽  
Lu Qing ◽  
Zhao Qian ◽  
◽  
...  
Keyword(s):  
Hong Kong ◽  
Gravity Model ◽  
Yangtze River ◽  
Yangtze River Delta ◽  
River Delta ◽  
Urban Agglomeration ◽  
The Yangtze River ◽  
Urban Agglomerations ◽  
Bay Area ◽  
The Yangtze River Delta

Beijing-Tianjin-Hebei urban agglomeration, Yangtze River Delta urban agglomeration and the Guangdong, Hong Kong, Macau Greater Bay Area are China's three major urban agglomerations, including China's political, economic, financial and technological centers, which are important engines of the Chinese economy. The purpose of this study is to compare these three urban agglomerations from the economy, government management and spatial interactions. The major methodology of the study is gravity model. Since there are no clear official regulations for the scope of the three major urban agglomerations, we should define the scope and core areas at first, making them at a comparable level. First of all, the economy of the three major urban agglomerations in the wide area range are similar, while the core area of Beijing-Tianjin-Hebei urban agglomeration is the weakest in per capita GDP. In the perspective of government management, the Beijing-Tianjin-Hebei urban agglomeration is policy-oriented and pays more attention to regional balanced development. The Yangtze River Delta urban agglomeration mainly focus on economic development. Under the policy of reform and opening up, Guangdong, Hong Kong, Macau Bay Area is seeking more regional cooperation with Hong Kong and Macau. In terms of spatial interactions, the Beijing-Tianjin-Hebei urban agglomeration presents a dual-core structure between Beijing and Tianjin. The other urban nodes in Hebei Province are not obvious, and the regional connections are weak, leading to unbalanced development. The Yangtze River Delta urban agglomeration presents the characteristics of a networked structure, and the cities in the entire region are closely connected and have a tendency to be integrated both in economy and transportation. The Guangdong, Hong Kong and Macau Greater Bay Area has formed a strong core composed of cities such as Guangzhou, Shenzhen, Hong Kong, Macau and Dongguan, which are closely linked with each other, but weakly connected with external region.

scholarly journals Patterns of the Network of Cross-Border University Research Collaboration in the Guangdong-Hong Kong-Macau Greater Bay Area

2020 ◽  
Vol 12 (17) ◽  
pp. 6846
Author(s):  
Jinyuan Ma ◽  
Fan Jiang ◽  
Liujian Gu ◽  
Xiang Zheng ◽  
Xiao Lin ◽  
...  
Keyword(s):  
Social Sciences ◽  
Hong Kong ◽  
Research Collaboration ◽  
Citation Impact ◽  
High Quality ◽  
High Quality Research ◽  
Cross Border ◽  
Bay Area ◽  
Research Areas ◽  
Industrial Distribution

This study analyzes the patterns of university co-authorship networks in the Guangdong-Hong Kong-Macau Greater Bay Area. It also examines the quality and subject distribution of co-authored articles within these networks. Social network analysis is used to outline the structure and evolution of the networks that have produced co-authored articles at universities in the Greater Bay Area from 2014 to 2018, at both regional and institutional levels. Field-weighted citation impact (FWCI) is used to analyze the quality and citation impact of co-authored articles in different subject fields. The findings of the study reveal that university co-authorship networks in the Greater Bay Area are still dispersed, and their disciplinary development is unbalanced. The study also finds that, while the research areas covered by high-quality co-authored articles fit the strategic needs of technological innovation and industrial distribution in the Greater Bay Area, high-quality research collaboration in the humanities and social sciences is insufficient.

scholarly journals Dynamic Changes of Local Climate Zones in the Guangdong–Hong Kong–Macao Greater Bay Area and Their Spatio-Temporal Impacts on the Surface Urban Heat Island Effect between 2005 and 2015

2021 ◽  
Vol 13 (11) ◽  
pp. 6374
Author(s):  
Yang Lu ◽  
Jiansi Yang ◽  
Song Ma
Keyword(s):  
Hong Kong ◽  
Land Surface ◽  
Morphological Changes ◽  
Mapping Method ◽  
Heat Radiation ◽  
Climate Zones ◽  
Local Climate ◽  
Bay Area ◽  
Local Climate Zones ◽  
Urban Heat

Local climate zones (LCZs) emphasize the influence of representative geometric properties and surface cover characteristics on the local climate. In this paper, we propose a multi-temporal LCZ mapping method, which was used to obtain LCZ maps for 2005 and 2015 in the Guangdong–Hong Kong–Macao Greater Bay Area (GBA), and we analyze the effects of LCZ changes in the GBA on land surface temperature (LST) changes. The results reveal that: (1) The accuracy of the LCZ mapping of the GBA for 2005 and 2015 is 85.03% and 85.28%, respectively. (2) The built type category showing the largest increase in area from 2005 to 2015 is LCZ8 (large low-rise), with a 1.01% increase. The changes of the LCZs also vary among the cities due to the different factors, such as the economic development level and local policies. (3) The area showing a warming trend is larger than the area showing a cooling trend in all the cities in the GBA study area. The main reasons for the warming are the increase of built types, the enhancement of human activities, and the heat radiation from surrounding high-temperature areas. (4) The spatial morphology changes of the built type categories are positively correlated with the LST changes, and the morphological changes of the LCZ4 (open high-rise) and LCZ5 (open midrise) built types exert the most significant influence. These findings will provide important insights for urban heat mitigation via rational landscape design in urban planning management.

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