scholarly journals Factors Affecting the Manufacturing Industry Transformation and Upgrading: A Case Study of Guangdong–Hong Kong–Macao Greater Bay Area

2021 ◽  
Vol 18 (13) ◽  
pp. 7157
Author(s):  
Fan Yang ◽  
Yanming Sun ◽  
Yuan Zhang ◽  
Tao Wang
Keyword(s):  
Hong Kong ◽  
Manufacturing Industry ◽  
Development Trend ◽  
Slow Variable ◽  
Parameter Method ◽  
Fast Variable ◽  
Market Demand ◽  
Power Sources ◽  
Bay Area ◽  
Industry Transformation

This study aims to analyze the development trend of the manufacturing industry transformation and upgrading in the Guangdong–Hong Kong–Macao Greater Bay Area (2008–2018). On the basis of synergetics, the order parameter method of factor analysis is used to study these factors. The results show that: (1) There are five slow variable factors, such as intelligent manufacturing industry, technological innovation, scale agglomeration, market demand, and fixed asset investment, which are important power sources of the transformation and upgrading of the manufacturing industry in Greater Bay Area. The development of these factors is relatively mature, and they cooperate with each other. (2) Similar to a fast variable of manufacturing development ecology, green development is an important coordinating factor in removing bottlenecks. Finally, suggestions for the development of the transformation and upgrading of the manufacturing industry are put forward.

scholarly journals Exploring Regional Advanced Manufacturing and Its Driving Factors: A Case Study of the Guangdong–Hong Kong–Macao Greater Bay Area

2021 ◽  
Vol 18 (11) ◽  
pp. 5800
Author(s):  
Zixin Dou ◽  
Yanming Sun ◽  
Tao Wang ◽  
Huiyin Wan ◽  
Shiqi Fan
Keyword(s):  
Hong Kong ◽  
Evaluation System ◽  
Industrial Development ◽  
Manufacturing Industry ◽  
Technological Development ◽  
Development Trend ◽  
Advanced Manufacturing ◽  
Bay Area ◽  
The Development Trend

This study aims to analyze the development trend of the manufacturing industry of the Guangdong–Hong Kong–Macao Greater Bay Area (from 2008 to 2018) by constructing an evaluation system. On the basis of push–pull–mooring theory, we analyze these factors by using an entropy and cluster model. The results show the following: (1) Technological development had an obvious spatial distribution pattern of core regional radiation, while others did not. (2) Economic development was based on the city’s existing industrial development system, while environmental development depended on governmental policies. (3) Compared with the environmental factor, the development trends of the economic and technological factors were more similar. Lastly, we provide four strategies for the development of the manufacturing industry in different cities.

Research on Industrial Agglomeration and Isomorphism of Manufacturing Industry in Pearl River Delta

2021 ◽  
Vol 1 (1) ◽  
pp. 68-74
Author(s):  
Li Liu ◽  
Keyword(s):  
Hong Kong ◽  
Pearl River Delta ◽  
Quantitative Research ◽  
Manufacturing Industry ◽  
River Delta ◽  
Pearl River ◽  
Industrial Agglomeration ◽  
Bay Area ◽  
The Pearl River Delta ◽  
The Pearl River

As a national strategy, the construction of Guangdong-Hong Kong-Macao Greater Bay Area is of great significance. The Pearl River Delta is one of the core regions of the Guangdong-Hong Kong-Macao Greater Bay Area and important for the upgrading of innovative manufacturing industries. It is important to enhance the competitiveness of those areas and optimize industrial structure by promoting the division of labor between cities. The quantitative research on the industrial agglomeration and industrial isomorphism of the manufacturing industry in nine cities in the Pearl River Delta shows that each city has formed its specialized manufacturing industry, and the phenomenon of industrial isomorphism has been improved by the unified planning of the manufacturing industry in the Pearl River Delta.

scholarly journals Analysis on International Competitiveness of Service Trade in the Guangdong–Hong Kong–Macao Greater Bay Area Based on Using the Entropy and Gray Correlation Methods

Entropy ◽  
2021 ◽  
Vol 23 (10) ◽  
pp. 1253
Author(s):  
Xianhang Xu ◽  
Mohd Anuar Arshad ◽  
Arshad Mahmood
Keyword(s):  
Hong Kong ◽  
System Modeling ◽  
International Competitiveness ◽  
Development Trend ◽  
Service Trade ◽  
Entropy Weight ◽  
Coordinated Development ◽  
Export Structure ◽  
Bay Area ◽  
Grey Correlation Analysis

Based on the analysis and measurement of the overall situation, import and export structure and international competitiveness of the various sectors of service trade in the Guangdong–Hong Kong–Macao Greater Bay Area, with the help of MATLAB and Gray System Modeling software, the synergy degree model was established to quantitatively analyze the synergy level of service trade in the Greater Bay Area with the help of grey correlation analysis method and entropy weight method. The results show that the overall development trend of service trade in the Guangdong–Hong Kong–Macao Greater Bay Area is good. The service trade industries in different regions are highly complementary and have a high degree of correlation. The potential for the coordinated development of internal service trade is excellent, and the overall situation of service trade in the Greater Bay Area is in a stage of transition from a moderate level of synergy to a high level of synergy. The Greater Bay Area can achieve industrial synergy by accelerating industrial integration and green transformation, establishing a coordinated development mechanism, sharing market platform, strengthening personnel security, and further enhancing the international competitiveness of service trade. The established model better reflects the current coordination of service trade in the Guangdong–Hong Kong–Macao Greater Bay Area and has good applicability. In the future, more economic, technological, geographic, and policy data and information can be comprehensively used to study the spatial pattern, evolution rules, and mechanisms of coordinated development in the broader area.

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.

Impact of capital enrichment on resource allocation efficiency in China’s manufacturing industry

2021 ◽  
pp. 1-17
Author(s):  
Lina Ma ◽  
Fengju Xu ◽  
Lihua Wang ◽  
Akther Taslima
Keyword(s):  
Resource Allocation ◽  
Manufacturing Industry ◽  
Evaluation Model ◽  
Development Trend ◽  
Inhibitory Effect ◽  
Capital Allocation ◽  
Curvilinear Relationship ◽  
Allocation Efficiency ◽  
Capital Allocation Efficiency ◽  
Resource Allocation Efficiency

Capital enrichment (CE) results from capital flows, which reflect the capital distribution among different regions and industries. This paper constructs the evaluation model of resource allocation efficiency from the perspective of capital and innovation resources. It expounds on CE’s theoretical mechanism by using the panel data from 2011 to 2018 for system GMM estimation. It finds that the manufacturing capital allocation efficiency (CAE) and innovation resource allocation efficiency (IRAE) show a volatile development trend. Both static and dynamic panel models show that there is a significant U-shaped curvilinear relationship between CE and CAE, CE and IRAE. CE’s inhibitory effect on CAE and IRAE decreases with the improvement of CE until it exceeds the critical value of 8.27 and 8.93. After that, its impact on CAE and IRAE changes from negative to positive.

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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