Language Diversity of China and National Security

2021 ◽  
pp. 168
Author(s):  
Olga Zavyalova
Keyword(s):  
Hong Kong ◽  
National Security ◽  
Information Technologies ◽  
Annual Reports ◽  
Language Diversity ◽  
Bay Area ◽  
Local Means ◽  
National Minorities ◽  
Medical Teams ◽  
Standard Chinese

China with its dozens of languages of national minorities and numerous Chinese dialects is still a linguistically very diverse country, and this diversity regularly finds its reflection during the events in various regions. In 2020, medical teams sent to Wuhan during the coronavirus outbreak faced difficulties with understanding the patients speaking local Mandarin dialects. Later on, language problems in Wuhan were urgently solved by the local administration. Starting from 2019, language confrontation became more visible during the protests in Hong Kong. Already in 2021, a volume devoted to the complicated language situation in the recently created economic cluster of the Greater Bay Area, which is to combine Hong Kong and Macau with nine cities across the Pearl River Delta, was published in the series of the annual reports of the State Language Commission. According to the model proposed by the linguists, Standard Chinese is to become the main spoken language both within the Greater Bay area and in contacts with other regions of China. Cantonese is to be used only as an additional local means of communication, while English and partially Portuguese in Macao are to be preserved as the languages of contacts with foreign countries. To solve various problems of the economic cluster, new structures are to be created with the help of the latest information technologies and participation of the linguists. Language unity as a whole is considered to be a key guarantee of the national security of China.

Epilogue

2021 ◽  
pp. 266-272
Author(s):  
Yuan-tsung Chen
Keyword(s):  
United States ◽  
Hong Kong ◽  
National Security ◽  
San Francisco ◽  
San Francisco Bay Area ◽  
The United States ◽  
University Of California ◽  
Cornell University ◽  
Bay Area ◽  
The University

In May 1971, the Chens arrived in Hong Kong. In October of the same year, Jack went on his speaking tour. It was a success, and they decided to emigrate to the United States. Both worked at Cornell University, and then in 1978, they moved to the San Francisco Bay Area, where Yuan-tsung worked at the East Asiatic Library at the University of California, Berkeley until she retired in 1992. In 2010, she moved to Hong Kong and started to write her present memoir. After the Party authorities implemented the National Security Law in 2020, the strategy of “shock and awe” put Yuan-tsung on tenterhooks. However, in spite of herself, she was determined to complete her book and get it published.

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.

The Law of the People's Republic of China on Safeguarding National Security in the Hong Kong Special Administrative Region

2020 ◽  
pp. 1-17
Author(s):  
Simon N.M. Young
Keyword(s):  
Hong Kong ◽  
National Security ◽  
Chief Executive ◽  
People’S Republic Of China ◽  
Special Administrative Region ◽  
People's Republic Of China ◽  
Republic Of China ◽  
Administrative Region ◽  
Basic Law ◽  
The Law

The Law of the People's Republic of China on Safeguarding National Security in the Hong Kong Special Administrative Region (NSL) was passed on June 30, 2020 by the Standing Committee of the National People's Congress (NPCSC). It did not have immediate direct effect in the Hong Kong Special Administrative Region (HKSAR). After consulting the Committee for the Basic Law of the HKSAR (BLC) and the Government of the HKSAR (HKSARG), the NPCSC added the NSL to Annex III of The Basic Law of the Hong Kong Special Administrative Region of the People's Republic of China (Basic Law) before the Chief Executive of the HKSAR (Chief Executive) promulgated the NSL for local application. All this happened on June 30, enabling the NSL to enter into force at 11 p.m., just ahead of the twenty-third anniversary of the establishment of the HKSAR on July 1, 2020.

scholarly journals Spatial Pattern Analysis of the Ecosystem Services in the Guangdong-Hong Kong-Macao Greater Bay Area Using Sentinel-1 and Sentinel-2 Imagery Based on Deep Learning Method

2021 ◽  
Vol 13 (13) ◽  
pp. 7044
Author(s):  
Dawei Wen ◽  
Song Ma ◽  
Anlu Zhang ◽  
Xinli Ke
Keyword(s):  
Hong Kong ◽  
Deep Learning ◽  
Ecosystem Services ◽  
Land Cover ◽  
Spatial Pattern ◽  
Sustainable Urban Development ◽  
Spatial Pattern Analysis ◽  
Bay Area ◽  
Urban Rural ◽  
Sentinel 2

Assessment of ecosystem services supply, demand, and budgets can help to achieve sustainable urban development. The Guangdong-Hong Kong-Macao Greater Bay Area, as one of the most developed megacities in China, sets up a goal of high-quality development while fostering ecosystem services. Therefore, assessing the ecosystem services in this study area is very important to guide further development. However, the spatial pattern of ecosystem services, especially at local scales, is not well understood. Using the available 2017 land cover product, Sentinel-1 SAR and Sentinel-2 optical images, a deep learning land cover mapping framework integrating deep change vector analysis and the ResUnet model was proposed. Based on the produced 10 m land cover map for the year 2020, recent spatial patterns of the ecosystem services at different scales (i.e., the GBA, 11 cities, urban–rural gradient, and pixel) were analyzed. The results showed that: (1) Forest was the primary land cover in Guangzhou, Huizhou, Shenzhen, Zhuhai, Jiangmen, Zhaoqing, and Hong Kong, and an impervious surface was the main land cover in the other four cities. (2) Although ecosystem services in the GBA were sufficient to meet their demand, there was undersupply for all the three general services in Macao and for the provision services in Zhongshan, Dongguan, Shenzhen, and Foshan. (3) Along the urban–rural gradient in the GBA, supply and demand capacity showed an increasing and decreasing trend, respectively. As for the city-level analysis, Huizhou and Zhuhai showed a fluctuation pattern while Jiangmen, Zhaoqing, and Hong Kong presented a decreasing pattern along the gradient. (4) Inclusion of neighborhood landscape led to increased demand scores in a small proportion of impervious areas and oversupply for a very large percent of bare land.

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