Relevant bibliographies by topics / Shenzhen (Guangdong Sheng, China : East)

Academic literature on the topic 'Shenzhen (Guangdong Sheng, China : East)'

Author: Grafiati
Published: 27 July 2024
Last updated: 29 July 2024

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Journal articles on the topic "Shenzhen (Guangdong Sheng, China : East)"

1

Chen, Cheng, Lei Wang, Ruozhou Chen, Fangliang Xing, and Jun Chen. "Temporal-spatial characteristics and path analysis of maritime cyclones in Guangdong coastal areas in the South China Sea." Earth Sciences Research Journal 22, no. 4 (October 1, 2018): 319–25. http://dx.doi.org/10.15446/esrj.v22n4.77361.

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This study was conducted to analyze the maritime cyclone characteristics in Guangdong coast in the years of 1949 to 2016, including inter-annual variation, the intensity of tropical cyclones, generating location and time, and path direction. The temporal-spatial characteristics were also studied. Results show there were 183 tropical cyclones landed in Guangdong coast in the past 68 years, with an average of 2.7 each year, which more than 60 percent were a typhoon. Most of the tropical cyclones were generated in the northwest Pacific, spanning from April to December. The path directions were mainly north, northwest, and west. The strengths of the tropical cyclones were reduced from central Guangdong coast to the east and the west sides, and the section of Zhanjiang city to Shenzhen city was the most vulnerable to tropical cyclones. Tropical cyclones that generated in the South China Sea tend to attack the west of the Guangdong coast, while the ones that produced in the northwest Pacific tend to attack the east of the Guangdong coast. In the study area, the tropical cyclones frequently occurred from July to September and became strongest in September. There are a most common landing section and path direction for each month. Finally, based on the statistical data and research results, the tropical cyclone paths in Guangdong coast were preliminarily analyzed.
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2

Tang, Daizhong, Baorui Li, Yuan Qiu, and Linlin Zhao. "Research on Urban and Rural Coordination Development and Its Driving Force Based on the Space-time Evolvement Taking Guangdong Province as an Example." Land 9, no. 8 (July 30, 2020): 253. http://dx.doi.org/10.3390/land9080253.

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Based on the background of the change in the urban–rural relationship in Guangdong Province, this paper constructs an analysis framework of urban and rural coordination development. Using the data of 19 administrative units above prefecture level in Guangdong Province, this paper studies the space–time evolution of urban and rural coordination development during 2000–2015 through Principal Component Analysis (PCA) and Exploratory Spatial Data Analysis (ESDA) and explores the influencing factors and driving forces behind it. It is found that there is club convergence in the urban and rural coordination development in Guangdong Province. This kind of convergence is reflected in the findings that the east bank of the Pearl River estuary is the best area for the urban and rural coordination development where Guangzhou, Dongguan, Shenzhen is the core and the level of urban and rural coordination development in the east, west and north of Guangdong Province is relatively low, which also reflects a geographical polarization feature. Based on the analysis of the factors that promote the urban and rural coordination development in the main years of 2000–2015, it can be concluded that location, economic development and urbanization level are the most important driving forces, followed by industrial structure. This research can be used as a decision-making reference for urban and rural coordination development and new countryside construction in China in the New Era.
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3

Zhao, Yelong, Jinsong Chen, Xiaoli Li, Hongzhong Li, and Longlong Zhao. "Coastal Water Clarity in Shenzhen: Assessment of Observations from Sentinel-2." Water 15, no. 23 (November 27, 2023): 4102. http://dx.doi.org/10.3390/w15234102.

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Shenzhen is a crucial city in the Guangdong–Hong Kong–Macao Greater Bay Area (GBA). With high-intensity land development and rapid population growth, the ocean has become an essential space for expansion, leading to significant variations in water quality in the coastal area of Shenzhen. Water clarity (Zsd) is a key indicator for evaluating water quality. We applied the quasi-analytical algorithm (QAA) to Sentinel-2 data and retrieved the Zsd of the coastal area of Shenzhen. By adjusting the red band for distinguishing water types, we avoided underestimating Zsd for clear water. This study pioneered the production of a 10 m Zsd product for the coastal area of Shenzhen from 2016 to 2021. The results showed that the coastal area of Shenzhen exhibited a spatial distribution pattern with low Zsd in the west and high in the east, with Pearl River Estuary (PRE: 0.41–0.67 m) and Shenzhen Bay (SZB: 0.30–0.58 m) being lower than Dapeng Bay (DPB: 2.7–2.9 m) and Daya Bay (DYB: 2.5–2.9 m). We analyzed the seasonal and interannual variations and driving factors of the four areas, where PRE and SZB showed similar variation patterns, while DPB and DYB showed similar variation patterns. PRE and SZB are important estuaries in southern China, significantly affected by anthropogenic activities. DPB and DYB are important marine aquaculture areas, mainly affected by natural factors (wind speed, precipitation, and sea level). The Zsd of the coastal area of Shenzhen, along with the analysis of its results and driving factors, contributes to promoting local water resource protection and providing a reference for formulating relevant governance policies. It also provides a practical method for assessing and monitoring near-shore water quality.
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4

Tang, Jiting, Fuyu Hu, Yimeng Liu, Weiping Wang, and Saini Yang. "High-Resolution Hazard Assessment for Tropical Cyclone-Induced Wind and Precipitation: An Analytical Framework and Application." Sustainability 14, no. 21 (October 27, 2022): 13969. http://dx.doi.org/10.3390/su142113969.

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Intensified tropical cyclones (TCs) threaten the socioeconomic development of coastal cities. The coupling of strong wind and precipitation with the TC process usually amplifies the destructive effects of storms. Currently, an integrated analytical framework for TC hazard assessment at the city level that combines the joint statistical characteristics of multiple TC-induced hazards and local environmental features does not exist. In this study, we developed a novel hazard assessment framework with a high spatiotemporal resolution that includes a fine-tuned K-means algorithm for clustering TC tracks and a Copula model to depict the wind–precipitation joint probability distribution of different TC categories. High-resolution wind and precipitation data were used to conduct an empirical study in Shenzhen, a coastal megacity in Guangdong Province, China. The results show that the probabilities of TC-induced wind speed and precipitation exhibit significant spatial heterogeneity in Shenzhen, which can be explained by the characteristics of TC tracks and terrain environment factors. In general, the hazard intensity of TCs landing from the west side is higher than that from the east side, and the greatest TC intensity appears on the southeast coast of Shenzhen, implying that more disaster prevention efforts are needed. The proposed TC hazard assessment method provides a solid base for highly precise risk assessment at the city level.
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5

CHANG, CHIA-LIN, TE-KE MAI, and MICHAEL MCALEER. "PRICING CARBON EMISSIONS IN CHINA." Annals of Financial Economics 13, no. 03 (September 2018): 1850014. http://dx.doi.org/10.1142/s2010495218500148.

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The review paper provides a strategy for determining carbon emissions pricing in China to guide how carbon emissions might be mitigated to reduce fossil fuel pollution. China has promoted the development of clean energy, including hydroelectric power, wind power, and solar energy generation. In order to involve companies in carbon emissions control, regional and provincial carbon markets have been established since 2013. As China’s carbon market is organized domestically, and not necessarily using market principles, there has been little research on China’s carbon price and volatility. This paper provides an introduction to China’s regional and provincial carbon markets, proposes how to establish a national market for pricing carbon emissions, discusses how and when these markets might be established, how they might perform, and the subsequent prices for China’s regional and national carbon markets. Power generation in manufacturing consumes more than other industries, with more than 40% of total coal consumption. Apart from manufacturing, the northern China heating system relies on fossil fuels, mainly coal, which causes serious pollution. In order to understand the regional markets well, it is necessary to analyze the energy structure in these regions. Coal is the primary energy source in China, so that provinces that rely heavily on coal receive a greater number of carbon emissions permits. In order to establish a national carbon market for China, a detailed analysis of eight important regional markets is presented. The four largest energy markets, namely, Guangdong, Shanghai, Shenzhen, and Hubei, traded around 82% of the total volume and 85% of the total value of the seven markets in 2017, as the industry structure of the western area is different from that of the east. The China National Development and Reform Commission has proposed a national carbon market, which can attract investors and companies to participate in carbon emissions trading.
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6

Hong, Zhexuan. "New Rural Housing Construction." New Countryside 1, no. 2 (February 9, 2023). http://dx.doi.org/10.55121/nc.v1i2.69.

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Based on the background of the change in the urban–rural relationship in Guangdong Province, this paper constructs an analysis framework of urban and rural coordination development. Using the data of 19 administrative units above prefecture level in Guangdong Province, this paper studies the space–time evolution of urban and rural coordination development during 2000–2015 through Principal Component Analysis (PCA) and Exploratory Spatial Data Analysis (ESDA) and explores the influencing factors and driving forces behind it. It is found that there is club convergence in the urban and rural coordination development in Guangdong Province. This kind of convergence is reflected in the findings that the east bank of the Pearl River estuary is the best area for the urban and rural coordination development where Guangzhou, Dongguan, Shenzhen is the core and the level of urban and rural coordination development in the east, west and north of Guangdong Province is relatively low, which also reflects a geographical polarization feature. Based on the analysis of the factors that promote the urban and rural coordination development in the main years of 2000–2015, it can be concluded that location, economic development and urbanization level are the most important driving forces, followed by industrial structure. This research can be used as a decision-making reference for urban and rural coordination development and new countryside construction in China in the New Era.
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7

Hong, Zhexuan. "New Rural Housing Construction." New Countryside, February 9, 2023, 52–57. http://dx.doi.org/10.55121/nc.v2i2.69.

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Abstract:
Based on the background of the change in the urban–rural relationship in Guangdong Province, this paper constructs an analysis framework of urban and rural coordination development. Using the data of 19 administrative units above prefecture level in Guangdong Province, this paper studies the space–time evolution of urban and rural coordination development during 2000–2015 through Principal Component Analysis (PCA) and Exploratory Spatial Data Analysis (ESDA) and explores the influencing factors and driving forces behind it. It is found that there is club convergence in the urban and rural coordination development in Guangdong Province. This kind of convergence is reflected in the findings that the east bank of the Pearl River estuary is the best area for the urban and rural coordination development where Guangzhou, Dongguan, Shenzhen is the core and the level of urban and rural coordination development in the east, west and north of Guangdong Province is relatively low, which also reflects a geographical polarization feature. Based on the analysis of the factors that promote the urban and rural coordination development in the main years of 2000–2015, it can be concluded that location, economic development and urbanization level are the most important driving forces, followed by industrial structure. This research can be used as a decision-making reference for urban and rural coordination development and new countryside construction in China in the New Era.
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Dissertations / Theses on the topic "Shenzhen (Guangdong Sheng, China : East)"

1

陳扣平 and Kouping Chen. "Impact of land reclamation on hydrogeochemical processes in coastal aquifer systems: a case study in Shenzhen,China." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2008. http://hub.hku.hk/bib/B39558940.

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2

Tse, Lai-hing. "From bureaucrats to managers : the human dimension of market transition in Shenzhen, China /." [Hong Kong : University of Hong Kong], 1994. http://sunzi.lib.hku.hk/hkuto/record.jsp?B13706299.

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3

Cheung, Man-biu. "Shenzhen special economic zone : functions, policies and achievements, 1979-1984 /." [Hong Kong : University of Hong Kong], 1985. http://sunzi.lib.hku.hk/hkuto/record.jsp?B1232405X.

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4

Leung, Kar-foo Leeds. "Shenzhen : the showcase of China's open policy /." Hong Kong : University of Hong Kong, 1996. http://sunzi.lib.hku.hk/hkuto/record.jsp?B17982352.

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5

Yu, Tai-ho Haiko. "Cross-boundary passenger transport between Hong Kong and Shenzhen." Hong Kong : University of Hong Kong, 2002. http://sunzi.lib.hku.hk/hkuto/record.jsp?B25262956.

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6

Fu, Yee-ming. "Implications of intensified trans-boundary vehicular traffic on transport infrastructure in Hong Kong /." Hong Kong : University of Hong Kong, 2002. http://sunzi.lib.hku.hk/hkuto/record.jsp?B25247682.

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7

Cheung, Yu-piu. "A critical review on the planning of cross border vehicular traffic between Hong Kong and Shenzhen." Hong Kong : University of Hong Kong, 2001. http://sunzi.lib.hku.hk:8888/cgi-bin/hkuto%5Ftoc%5Fpdf?B23339238.

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8

Cheng, Tsz-kit. "The influence of Chinese cultural values on management behaviour in the People's Republic of China and Hong Kong /." Hong Kong : University of Hong Kong, 1998. http://sunzi.lib.hku.hk/hkuto/record.jsp?B20622429.

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9

Wong, Ngai-ching. "Housing reform in Shenzhen Special Economic Zone (SSEZ) : an analysis and evaluation /." Hong Kong : University of Hong Kong, 1994. http://sunzi.lib.hku.hk/hkuto/record.jsp?B14041297.

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10

Thoe, Wai, and 陶煒. "Integrated river management of the East River: field studies, hydrologic and water quality modelling." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2007. http://hub.hku.hk/bib/B38997575.

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Books on the topic "Shenzhen (Guangdong Sheng, China : East)"

1

Jin, Wenmo. 康熙新安縣誌校注. Beijing: Zhongguo da bai ke quan shu chu ban she, 2006.

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2

"Bao'an wen shi cong shu" bian zuan wei yuan hui. 嘉慶新安縣誌校注. Beijing: Zhongguo da bai ke quan shu chu ban she, 2006.

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3

Shenzhen Tequ qi ye diao cha. [Canton]: Guangdong ren min chu ban she, 1985.

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Book chapters on the topic "Shenzhen (Guangdong Sheng, China : East)"

1

Hall, Brian J., Teng Ieng Leong, and Wen Chen. "Rapid Urbanization in China." In Urban Health, 356–61. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780190915858.003.0038.

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Urbanization in China in the past 20 years has been happening at an unprecedented scale, with little comparison anywhere else worldwide. Cities like Shenzhen, Guangdong Province, have grown more than 300-fold in the past 30 years. This growth has come with remarkable gains in health, but also is accompanied by particular challenges, both those typical of large cities anywhere and those challenges specifically presented by rapid growth in East Asia. This chapter discusses urbanization in China, drawing lessons that illuminate the particularities of what has transpired in China and that also have generalizable implications for urban health worldwide.
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