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 Study on the Spatial Pattern of Innovation Output and Influencing Factors in Guangdong-Hong Kong-Macao Greater Bay Area

2019 ◽  
Author(s):  
Dongliang Yang ◽  
Chunfeng Li
Keyword(s):  
Hong Kong ◽  
Spatial Pattern ◽  
Industrial Structure ◽  
Study Region ◽  
Bay Area ◽  
Innovation Activities ◽  
Level Of Economic Development ◽  
Innovation Output ◽  
Countermeasures And Suggestions ◽  
The Impact

The advantageous location, port clusters, strong economic strength, developed financial system, rational and orderly urban division of labor and modern industrial system of Guangdong-Hong Kong-Macao greater bay area provide sustainable driving force for innovation activities in this region. This paper selected the Gini-coefficient, first degree index and concentration index to measure the spatial pattern characteristics of innovation output in Guangdong-Hong Kong-Macao greater bay area. The results show that the innovation output presented a spatial pattern of center-periphery in the study region with Shenzhen and Guangzhou as the dual centers and engines of innovation and Dongguan and Foshan as the main innovative areas. Further empirical analysis of the impact of various factors on innovation output in the study region found that R&D expenditure, the number of R&D personnel, the level of economic development and industrial structure all have significant promoting effects on innovation output. Accordingly, this paper put forward countermeasures and suggestions to promote the innovative development of Guangdong-Hong Kong-Macao greater bay area and build a world-class scientific and technological innovation bay area.

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.

An empirical study on the correlation between university discipline and industrial structure in the Guangdong, Hong Kong, and Macao greater bay area

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jinyuan Ma ◽  
Kejin Zhu ◽  
Yi Cao ◽  
Qiongqiong Chen ◽  
Xuesen Cheng
Keyword(s):  
Higher Education ◽  
Hong Kong ◽  
Industrial Structure ◽  
Pearson Correlation ◽  
National Level ◽  
Academic Program ◽  
Science And Engineering ◽  
Content Type ◽  
Bay Area ◽  
The University

PurposeThis paper examines the correlation between university discipline and industrial structure in the context of the integration and development of the Guangdong-Hong Kong-Macau Greater Bay Area (hereinafter the Greater Bay Area). It aims to determine the industrial structure deviation, and further identify human resource shortages and complementarity through the lens of the university discipline layout in the three regions of the Greater Bay Area, namely, the nine mainland Guangdong cities in the Pearl River Delta, Hong Kong, and Macau.Design/methodology/approachThe paper takes a quantitative Pearson correlation approach to determine the magnitude and strength of the relationship between regional university discipline and industrial structure in the Greater Bay Area, using predictor variables of percentage of compositions of GDP by sector to manifest the industrial structure and criterion variables of percentage of compositions of university enrollments by an academic program to represent the university discipline layout.FindingsThe most significant empirical result suggests that industrial structure deviation exists in the secondary industries of both Guangdong and Hong Kong. This indicates the complementarity between regions of the Greater Bay Area: the number of science and engineering talents graduating from the universities in Hong Kong exceeds the demands of Hong Kong’s local needs, while the science and engineering talents cultivated by universities in Guangdong cannot satisfy the needs of its secondary industries. However, the cities of Guangdong are not the primary choice of most Hong Kong graduates (Zhaopin, 2019).Originality/valueThere have been previous empirical studies dealing with the correlation between Chinese higher education discipline layout and industrial structure at the national level. There have been more case analyses at the provincial level, and some studies have used a comparative lens to find implications for the Chinese transformation. However, few studies have examined the correlation between higher education discipline layout and industrial structure in the context of the Greater Bay Area, with its emphasis on regional synergy and the distinction of “one country, two systems, and three tariff zones.” Based on its empirical findings, this study calls for a talent ecosystem that is beneficial for talent flow, talent sharing, and talent cultivation in a complementary manner.

scholarly journals China’s Guangdong-Hong Kong-Macao Greater Bay Area: a new development opportunity for Hong Kong

2019 ◽  
Vol 22 (1) ◽  
pp. 8-14
Author(s):  
Siu-kai Lau
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Hong Kong ◽  
Industrial Structure ◽  
National Development ◽  
Belt And Road Initiative ◽  
Content Type ◽  
Bay Area ◽  
Belt And Road ◽  
The Belt And Road

Purpose The Guangdong-Hong Kong-Macao Greater Bay Area (GBA) Strategy is an important component of the “Belt and Road Initiative” of China. The purpose of this Project is to develop the GBA into the most open, market-oriented and innovative pole of economic growth in China. The GBA Project provides Hong Kong with a rare opportunity to diversify its industrial structure and to move into a new and higher stage of economic development. Design/methodology/approach Being an integral part of the GBA, Hong Kong is expected and supported by the Central Government to develop into a hub of the Area, and, leveraging on Hong Kong’s status as an international metropolis, to connect the Area as a whole with the world. Findings China’s Guangdong-Hong Kong-Macao Greater Bay Area Project is a major national development strategy and is a major part of the Belt and Road Initiative. Hong Kong is going to play an important role in the Project and will benefit from it enormously in the future in terms of economic growth and the upgrading of its industrial structure. However, in order to take full advantage of participation in the Project, the way Hong Kong is governed, particularly the government's role in economic development, has to be modified significantly. Originality/value In order to take advantage of the Project, the Hong Kong SAR Government has to play a bigger and more proactive role in Hong Kong’s socioeconomic development and to strengthen its capacity to mobilize societal participation in the Project.

scholarly journals Sector Structure and Economic Growth: A Case of Guangdong-Hong Kong-Macau Great Bay Area

2019 ◽  
Vol 8 (5) ◽  
pp. 71-77
Author(s):  
Tingting Ling ◽  
Keyword(s):  
Economic Growth ◽  
Hong Kong ◽  
Industrial Structure ◽  
Production Capacity ◽  
Tertiary Industry ◽  
Bay Area ◽  
Great Bay ◽  
Modern Economic Growth ◽  
Speed Up ◽  
Industrial Structure Adjustment

The degree of optimization of industrial structure has become one of the core powers of modern economic growth engine. Using the data from 1996 to 2016 and taking the Guangdong-Hong Kong-Macao great bay area as an example, this paper made an empirical analysis on the contribution of industrial structure adjustment variables of the Guangdong-Hong Kong-Macao great bay area to economic growth, and concluded that the optimization and adjustment of industrial structure in the great bay area had a significant positive correlation with economic growth. In order to strengthen the bay area economy, bay area cities should speed up the adjustment of industrial structure and the elimination of backward production capacity. Furthermore, bay area cities should combine the elements of innovation-driven development, explore the tertiary industry with local characteristics, and take the tertiary industry as the engine for the economic development of the whole bay area. Keywords: Economic Growth, Guangdong-Hong Kong-Macao great bay area, Optimization of industrial structure.

scholarly journals The relationship between regional economy and financial intermediation agglomeration from the perspective of Granger causality Empirical analysis from the Guangdong-Hong Kong-Macao Greater Bay Area (GBA)

2021 ◽  
Vol 235 ◽  
pp. 01033
Author(s):  
Dezhi Guo ◽  
Kexin Zhou
Keyword(s):  
Economic Growth ◽  
Hong Kong ◽  
Granger Causality ◽  
Financial Intermediation ◽  
Time Series Data ◽  
Regional Economic Growth ◽  
Series Data ◽  
Regional Economic ◽  
Bay Area ◽  
The Relationship

This paper uses the time series data from 2007 to 2017 to analyze the financial intermediation agglomeration of Guangdong-Hong Kong-Marco Greater Bay Area through the empirical method of Granger causality test to find the relationship between regional economic growth. The empirical results show that the financial intermediation in the GBA has a prominent clustering effect, which has a strong pulling effect on the regional economic growth of the GBA. However, the development of the real economy in the GBA has not played a substantial role in supporting the development of the financial intermediation.

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