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

Yang, Fan; Sun, Yanming; Zhang, Yuan; Wang, Tao

doi:10.3390/ijerph18137157

Cited by 25 publications

(14 citation statements)

References 61 publications

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“…This method not only effectively reveals the evolution mechanism of big data industry, but also provides theoretical reference for analyzing the development and change laws of big data industry in China. Yang et al (2021) used the order parameter method to analyze the development trend of manufacturing industry in Guangdong Hong Kong Macao Greater Bay Area. The results show that with the continuous development of manufacturing industry, its environmental pollution will limit its development.…”

Section: Order Parameter Methodsmentioning

confidence: 99%

Exploring the influencing factor of urban industry development: An order parameter method

Dou¹,

Sun²,

Wu³

et al. 2023

Front. Sustain. Cities

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This study aims to analyze the factor affecting the urban industry development in Guangzhou. Based on push-pull-mooring theory, we explain the reasons for choosing the above indicators and use order parameters to analyze their impact on the urban industrial development. The results show that: (1) Environment has an obvious promoting effect on the urban industrial development. This shows that the current environment and the urban industrial development have reached a balance. (2) Technology has a positive impact on the urban industrial development, but it needs to go through the technology running in period smoothly. (3) Different from other factors, finance has a crowding out effect on industrial development. However, the development of finance will promote the rapid development of industry in Guangzhou. (4) The impact of finance, technology and green on UID is applicable to different development stages of UID, that is, these variables are related. Lastly, we provided development suggestions for Guangzhou. This will lay a foundation for promoting its industry.

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Section: Order Parameter Methodsmentioning

confidence: 99%

Exploring the influencing factor of urban industry development: An order parameter method

Dou¹,

Sun²,

Wu³

et al. 2023

Front. Sustain. Cities

Self Cite

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“…The GBA is a world-class bay area connected by land and sea, mountains and rivers. It is an important space carrier for China to build a world-class city cluster and participate in global competition [ 49 ], it has an important strategic position in the national development pattern, and it is the fourth largest bay area in the world, after the San Francisco Bay Area, the San Francisco Bay Area in America, and the Tokyo Bay Area in Japan [ 50 ]. The geographical location of GBA is shown in Figure 1 .…”

Section: Methodsmentioning

confidence: 99%

Identification of Typical Ecosystem Types by Integrating Active and Passive Time Series Data of the Guangdong–Hong Kong–Macao Greater Bay Area, China

Wang²,

Gao

et al. 2022

IJERPH

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The identification of ecosystem types is important in ecological environmental assessment. However, due to cloud and rain and complex land cover characteristics, commonly used ecosystem identification methods have always lacked accuracy in subtropical urban agglomerations. In this study, China’s Guangdong–Hong Kong–Macao Greater Bay Area (GBA) was taken as a study area, and the Sentinel-1 and Sentinel-2 data were used as the fusion of active and passive remote sensing data with time series data to distinguish typical ecosystem types in subtropical urban agglomerations. Our results showed the following: (1) The importance of different features varies widely in different types of ecosystems. For grassland and arable land, two specific texture features (VV_dvar and VH_diss) are most important; in forest and mangrove areas, synthetic-aperture radar (SAR) data for the months of October and September are most important. (2) The use of active time series remote sensing data can significantly improve the classification accuracy by 3.33%, while passive time series remote sensing data improves by 4.76%. When they are integrated, accuracy is further improved, reaching a level of 84.29%. (3) Time series passive data (NDVI) serve best to distinguish grassland from arable land, while time series active data (SAR data) are best able to distinguish mangrove from forest. The integration of active and passive time series data also improves precision in distinguishing vegetation ecosystem types, such as forest, mangrove, arable land, and, especially, grassland, where the accuracy increased by 21.88%. By obtaining real-time and more accurate land cover type change information, this study could better serve regional change detection and ecosystem service function assessment at different scales, thereby supporting decision makers in urban agglomerations.

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“…Developed regions can transfer excess production capacity and industries to less developed regions, drive "later wealth" with "getting rich first", and strive to achieve a complete industrial chain cycle within the Bay Area (Zhang & Cui, 2021). ing industry in the Guangdong-Hong Kong-Macao Greater Bay Area (Yang et al, 2021). Therefore, it is necessary to promote the stable development of several factors.…”

Section: ) Promote the Diversification Of Trade Objects And Commoditiesmentioning

confidence: 99%

Study on the Present Situation, Problems and Countermeasures of Dual Circulation Development in the Guangdong-Hong Kong-Macao Greater Bay Area

Guo¹,

Gao²

2022

OJBM

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Starting from the external circulation and internal circulation, this paper discusses the current situation, problems and countermeasures of each element of dual circulation. Although the Guangdong-Hong Kong-Macao Greater Bay Area has advantages in many aspects, there are still some problems, such as the relative unification of import and export direction, the relative concentration of product types, the imperfect supply chain, etc. In view of these problems, the paper puts forward the economic and legal measures to solve and improve, for the smooth operation of the dual circulation, security and stability to provide the basic security.

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

Cited by 25 publications

References 61 publications

Exploring the influencing factor of urban industry development: An order parameter method

Exploring the influencing factor of urban industry development: An order parameter method

Identification of Typical Ecosystem Types by Integrating Active and Passive Time Series Data of the Guangdong–Hong Kong–Macao Greater Bay Area, China

Study on the Present Situation, Problems and Countermeasures of Dual Circulation Development in the Guangdong-Hong Kong-Macao Greater Bay Area

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