Comparative Analysis of the Coordination Development between Employment Structure and Industrial Structure—A Case of Guangxi Province and Guangdong-Hong Kong-Macao Greater Bay Area (GBA)

2021 ◽  
Vol 11 (07) ◽  
pp. 774-785
Author(s):  
婉宏 廖
Keyword(s):  
Hong Kong ◽  
Comparative Analysis ◽  
Industrial Structure ◽  
Guangxi Province ◽  
Employment Structure ◽  
Bay Area ◽  
Coordination Development

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.

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 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 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 SPATIAL CONNECTION CHARACTERISTICS AND DRIVING MECHANISM OF REGIONAL LOGISTICS IN GUANGDONG-HONG KONG-MACAO GREATER BAY AREA

2021 ◽  
Author(s):  
XIU-LI GAO ◽  
PEI-YI HU ◽  
FEI-RONG MENG
Keyword(s):  
Hong Kong ◽  
Industrial Structure ◽  
River Estuary ◽  
Telecommunications Industry ◽  
Pearl River Estuary ◽  
Driving Mechanism ◽  
Entropy Weight ◽  
Regional Logistics ◽  
Bay Area ◽  
Connection Pattern

The paper adopted the entropy weight TOPSIS method and the gravity model to explore the characteristics of logistics spatial connection of Guangdong-Hong Kong-Macao Greater Bay Area that includes nine prefecture-level cities and two special administrative regions, and analyzed the driving factors of the formation of logistics spatial connection pattern by geographical detector model. The results shows that: There are obvious imbalance in the comprehensive capacity of logistics in different regions, and the cities around the Pearl River estuary are generally strong in the logistics quality, like Guangzhou, Shenzhen and Hong Kong. The total amount of logistics links in different cities is significantly various. The logistics connection between cities are mainly weak, and the strong links are concentrated between Hong Kong and Shenzhen. In addition, Hong Kong, Guangzhou and Shenzhen are the three core nodes of the regional logistics network in Guangdong-Hong Kong-Macao Greater Bay Area. Industrial structure, economic scale, population scale, consumption level, the development of post and telecommunications industry are the main factors for the formation of the logistics spatial connection pattern. Moreover, these factors have a prominent driving effect on the cities with large amount of logistics links.

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.

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