Guangshen Railway Company Limited Annual Report 2000
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The Guangzhou-Hongkong Strike, 1925-1926
The Guangzhou-Hongkong Strike, 1925-1926 Hongkong Workers in an Anti-Imperialist Movement Robert JamesHorrocks Submitted in accordancewith the requirementsfor the degreeof PhD The University of Leeds Departmentof East Asian Studies October 1994 The candidateconfirms that the work submitted is his own and that appropriate credit has been given where referencehas been made to the work of others. 11 Abstract In this thesis, I study the Guangzhou-Hongkong strike of 1925-1926. My analysis differs from past studies' suggestions that the strike was a libertarian eruption of mass protest against British imperialism and the Hongkong Government, which, according to these studies, exploited and oppressed Chinese in Guangdong and Hongkong. I argue that a political party, the CCP, led, organised, and nurtured the strike. It centralised political power in its hands and tried to impose its revolutionary visions on those under its control. First, I describe how foreign trade enriched many people outside the state. I go on to describe how Chinese-run institutions governed Hongkong's increasingly settled non-elite Chinese population. I reject ideas that Hongkong's mixed-class unions exploited workers and suggest that revolutionaries failed to transform Hongkong society either before or during the strike. My thesis shows that the strike bureaucracy was an authoritarian power structure; the strike's unprecedented political demands reflected the CCP's revolutionary political platform, which was sometimes incompatible with the interests of Hongkong's unions. I suggestthat the revolutionary elite's goals were not identical to those of the unions it claimed to represent: Hongkong unions preserved their autonomy in the face of revolutionaries' attempts to control Hongkong workers. -
Greater Bay Area Logistics Markets and Opportunities Colliers Radar Logistics | Industrial Services | South China | 29 May 2020
COLLIERS RADAR LOGISTICS | INDUSTRIAL SERVICES | SOUTH CHINA | 29 MAY 2020 Rosanna Tang Head of Research | Hong Kong SAR and Southern China +852 2822 0514 [email protected] Jay Zhong Senior Analyst | Research | Guangzhou +86 20 3819 3851 [email protected] Yifan Yu Assistant Manager | Research | Shenzhen +86 755 8825 8668 [email protected] Justin Yi Senior Analyst | Research | Shenzhen +86 755 8825 8600 [email protected] GREATER BAY AREA LOGISTICS MARKETS AND OPPORTUNITIES COLLIERS RADAR LOGISTICS | INDUSTRIAL SERVICES | SOUTH CHINA | 29 MAY 2020 TABLE OF CONTENTS Page INSIGHTS AND RECOMMENDATIONS 3 MAP OF GBA LOGISTICS MARKETS AND RECOMMENDED CITIES 4 MAP OF GBA TRANSPORTATION SYSTEM 5 LOGISTICS INDUSTRY SUPPLY AND DEMAND 6 NEW GROWTH POTENTIAL AREA IN GBA LOGISTICS 7 GBA LOGISTICS CLUSTER – ZHUHAI-ZHONGSHAN-JIANGMEN 8 GBA LOGISTICS CLUSTER – SHENZHEN-DONGGUAN-HUIZHOU 10 GBA LOGISTICS CLUSTER – GUANGZHOU-FOSHAN-ZHAOQING 12 2 COLLIERS RADAR LOGISTICS | INDUSTRIAL SERVICES | SOUTH CHINA | 29 MAY 2020 Insights & Recommendations RECOMMENDED CITIES This report identifies three logistics Zhuhai Zhongshan Jiangmen clusters from the mainland Greater Bay The Hong Kong-Zhuhai-Macau We expect Zhongshan will be The manufacturing sector is Area (GBA)* cities and among these Bridge Zhuhai strengthens the a logistics hub with the now the largest contributor clusters highlights five recommended marine and logistics completion of the Shenzhen- to Jiangmen’s overall GDP. logistics cities for occupiers and investors. integration with Hong Kong Zhongshan Bridge, planned The government aims to build the city into a coastal logistics Zhuhai-Zhongshan-Jiangmen: and Macau. for 2024, connecting the east and west banks of the Peral center and West Guangdong’s > Zhuhai-Zhongshan-Jiangmen’s existing River. -
Appendix 1: Rank of China's 338 Prefecture-Level Cities
Appendix 1: Rank of China’s 338 Prefecture-Level Cities © The Author(s) 2018 149 Y. Zheng, K. Deng, State Failure and Distorted Urbanisation in Post-Mao’s China, 1993–2012, Palgrave Studies in Economic History, https://doi.org/10.1007/978-3-319-92168-6 150 First-tier cities (4) Beijing Shanghai Guangzhou Shenzhen First-tier cities-to-be (15) Chengdu Hangzhou Wuhan Nanjing Chongqing Tianjin Suzhou苏州 Appendix Rank 1: of China’s 338 Prefecture-Level Cities Xi’an Changsha Shenyang Qingdao Zhengzhou Dalian Dongguan Ningbo Second-tier cities (30) Xiamen Fuzhou福州 Wuxi Hefei Kunming Harbin Jinan Foshan Changchun Wenzhou Shijiazhuang Nanning Changzhou Quanzhou Nanchang Guiyang Taiyuan Jinhua Zhuhai Huizhou Xuzhou Yantai Jiaxing Nantong Urumqi Shaoxing Zhongshan Taizhou Lanzhou Haikou Third-tier cities (70) Weifang Baoding Zhenjiang Yangzhou Guilin Tangshan Sanya Huhehot Langfang Luoyang Weihai Yangcheng Linyi Jiangmen Taizhou Zhangzhou Handan Jining Wuhu Zibo Yinchuan Liuzhou Mianyang Zhanjiang Anshan Huzhou Shantou Nanping Ganzhou Daqing Yichang Baotou Xianyang Qinhuangdao Lianyungang Zhuzhou Putian Jilin Huai’an Zhaoqing Ningde Hengyang Dandong Lijiang Jieyang Sanming Zhoushan Xiaogan Qiqihar Jiujiang Longyan Cangzhou Fushun Xiangyang Shangrao Yingkou Bengbu Lishui Yueyang Qingyuan Jingzhou Taian Quzhou Panjin Dongying Nanyang Ma’anshan Nanchong Xining Yanbian prefecture Fourth-tier cities (90) Leshan Xiangtan Zunyi Suqian Xinxiang Xinyang Chuzhou Jinzhou Chaozhou Huanggang Kaifeng Deyang Dezhou Meizhou Ordos Xingtai Maoming Jingdezhen Shaoguan -
Shenzhen Futian District
The living r Ring o f 0 e r 2 0 u t 2 c - e t s 9 i i 1 s h 0 e c n 2 r h g f t A i o s e n e r i e r a D g e m e e y a l r d b c g i a s ’ o n m r r i e e p a t d t c s s a A bring-back culture idea in architecture design in core of a S c u M M S A high density Chinese city - Shenzhen. x Part 1 Part 5 e d n Abstract Design rules I Part 2 Part 6 Urban analysis-Vertical direction Concept Part 3 Part 7 Station analysis-Horizontal Project:The living ring direction Part 4 Part 8 Weakness-Opportunities Inner space A b s t r a c t Part 1 Abstract 01 02 A b s t Abstract r a c Hi,I am very glad to have a special opportunity here to The project locates the Futian Railway Station, which t share with you a project I have done recently about is a very important transportation hub in Futian district. my hometown. It connects Guangzhou and Hong Kong, two very important economic cities.Since Shenzhen is also My hometown, named Shenzhen, a small town in the occupied between these two cities,equally important south of China. After the Chinese economic reform.at political and cultural position. The purpose of my 1978, this small town developed from a fishing village design this time is to allow the cultural center of Futian with very low economic income to a very prosperous District to more reflect its charm as a cultural center, economic capital, a sleep-less city , and became one and to design a landmark and functional use for the of very important economic hubs in China. -
Unravelling Decision-Making Processes on Location Choices For
Delft University of Technology Unravelling Decision-Making Processes on Location Choices for High-Speed Railway Stations in China A Comparison of Shenzhen, Lanzhou and Jingmen Wang, Biyue; de Jong, Martin; Van Bueren, Ellen; Ersoy, Aksel; Chen, Yawei DOI 10.1080/14649357.2021.1933578 Publication date 2021 Document Version Final published version Published in Planning Theory and Practice Citation (APA) Wang, B., de Jong, M., Van Bueren, E., Ersoy, A., & Chen, Y. (2021). Unravelling Decision-Making Processes on Location Choices for High-Speed Railway Stations in China: A Comparison of Shenzhen, Lanzhou and Jingmen. Planning Theory and Practice. https://doi.org/10.1080/14649357.2021.1933578 Important note To cite this publication, please use the final published version (if applicable). Please check the document version above. Copyright Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons. Takedown policy Please contact us and provide details if you believe this document breaches copyrights. We will remove access to the work immediately and investigate your claim. This work is downloaded from Delft University of Technology. For technical reasons the number of authors shown on this cover page is limited to a maximum of 10. Planning Theory & Practice ISSN: (Print) (Online) Journal homepage: https://www.tandfonline.com/loi/rptp20 Unravelling Decision-Making -
Resident Mobility Analysis Based on Mobile-Phone Billing Data
Available online at www.sciencedirect.com ScienceDirect Procedia - Social and Behavioral Sciences 96 ( 2013 ) 2032 – 2041 13th COTA International Conference of Transportation Professionals (CICTP 2013) Resident Mobility Analysis Based on Mobile-Phone Billing Data Rao Zonghaoa, Yang Dongyuana*, Duan Zhengyua aKey Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, P.O.Box 201804, Shanghai,China Abstract Many researches on resident mobility came from traditional data collection methods such as artificial or telephone surveys, but those approaches are difficult to update and the results are limited to a certain point in time. In the past few years, some innovative approaches have sought to use mobile devices to collect spatiotemporal data. In this paper we analyze spatial- temporal characteristics of resident mobility in the city of Shenzhen, using a data set captures for a seven-day period of more than one million anonymous mobile-phone users. In addition, we propose a method of recognizing the location of employment based on this kind of data and then plot an employment distribution map of Shenzhen. This method provides a new way to observe the employment distribution in a city. Understanding resident mobility from a city-wide perspective could provide researchers with convenience to forecast the traffic demand and take measures to traffic management, and could also lead to more informed decision making in both city planning and mass transit planning. ©© 20132013 The Authors. Authors. Published Published by byElsevier Elsevier Ltd. B.V. SelectionSelection andand/or peer-review peer-review under under responsibility responsibility of Chinese of Chinese Overseas Overseas Transportation Transportation Association Association(COTA). -
Digital Economy Development in China (2020)
DIGITAL ECONOMY DEVELOPMENT IN CHINA (2020) China Academy of Information and Communications Technology (CAICT) July 2020 Copyright Statement The copyright of this report is owned by China Academy of Information and Communications Technology and is protected by law. Any reprint, excerpt or use of the text or ideas in this report by other means shall be marked "Source: China Academy of Information and Communications Technology". Anyone who violates the above statement will be held accountable. Preface Mankind is now drawn into an information revolution, following the agricultural and industrial revolutions in history. A new wave of revolution in technology and industries has swept the globe. This can find full expression in accelerated data-to-value transition, integrated digital technology and substantial economy, and fully-enabled digital application in industries, leading to all-round reforms in new models and emerging commercial activities as well as significant enhancement of modernized national governance. According to the Report (2020), digital economy refers to an emerging economic form, taking digitalized knowledge and information as the essential productive factors, digital technology as the core drive and modern information network as the key carrier, promotes accelerated restructuring of economic growth and governance models by continuously improving digital, networking and intelligent capabilities through the extensive integration of digital technology and substantial economy. Continuous expansion of digital economy with greater contribution to GDP. The year 2019 saw the added value of digital economy in China hitting RMB 35.8 trillion, accounting for 36.2% of GDP, up by 1.4 percentage points on a year-on-year basis. Calculated in comparable terms, the nominal growth rate of digital economy in China climbed by 15.6% in 2019, around 7.85 percentage points higher than that of GDP in the same period. -
Guide Map the Location of RETECH
Guide Map The Location of RETECH oad Pinglong E. R Fenghuang Ping Dongguan City Ping hu Bao'an ' District an ad o R R o S R ad . o R ad Pinghu W.Ring R Fu'an o oad ad China South City oad Hutian R ass Overp Shenzhen Er gongling Langgang China South City Exit Bao'an Jihe Expr ess International W Bulan R ay Airport Meiguan Danping o ad Way ess Expr R Shuiguan ExprLiang R o ad ess Bulong R o ad o W ad ay eet tr Busha R oad Shenhui S About ShenZhen Shenzhen where our company located, is a seaside city with nice weather and beautiful environment. Shenzhen develops from a small seaside village to a newly modern developed city within 30 years. It's one of the Special Economic Zones in China with modern atmosphere and great passion. Here is the front of economy development in China. Welcome your visit at our company. Please let me to introduce the location of our company. You can see the above map, the green area is Guangdong province. Shenzhen is in the south of Guangdong. Shenzhen borders on Hongkong, very close to Guangzhou and Zhuhai. Following are the three ways how you come to our company: from HongKong to Shenzhen, from Guangzhou or Zhuhai to Shenzhen. All the three ways will take you about 2-2.5 hours to our plant. When you enter mainland China, please exchange enough RMB cash for transportation. Via Zhuhai Guangzhou Railway Station Shenzhen Zhuhai Shekou Jiuzhou Shenzhen Luohu Hong Kong International Airport If you are in Zhuhai, you can take a taxi to Zhuhai Jiouzhou Port to buy a ferry ticket to Shenzhen Shekou port. -
The Analysis on Evolvement of Spatial Pattern of Economy at County Level in Guangdong Province
Open Journal of Social Sciences, 2015, 3, 295-308 Published Online November 2015 in SciRes. http://www.scirp.org/journal/jss http://dx.doi.org/10.4236/jss.2015.311036 The Analysis on Evolvement of Spatial Pattern of Economy at County Level in Guangdong Province Pengzhen Shen, Weijin Gong School of Economics, Jinan University, Guangzhou, China Received 4 November 2015; accepted 24 November 2015; published 27 November 2015 Copyright © 2015 by authors and Scientific Research Publishing Inc. This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/ Abstract By selecting the per capita GDP of every county, this article uses the methods of exploratory spa- tial data analysis, Kiging spatial interpolation, semivariogram function, and the software of ArcGIS 10.0, Geoda and SPSS to show the spatial-temporal evolution of economic disparities at county level in Guangdong province from 1991 to 2013. The results show that: the economy of Guangdong province at county level presents a positive autocorrelation. It appears a downward trend in 2004, but it goes on growing at a steady trend. Cold-spot areas are dispersed in the north of Guangdong Province and the individual counties of East and West wings, while the hot-spot areas are mainly concentrated in the Pearl River Delta Center. Through the analysis of semivariogram function, it finds that the spatial self-organization of the county economy of Guangdong Province is getting stronger and the spatial random component of different pattern is in the smaller proportion. The main factors are due to the difference of natural conditions in regional economy, geographical conditions and regional development policy. -
Greater Prospects As Part of the 13Th Five-Year Plan, the Guangdong-Hong Kong-Macao Greater Bay Area Is an Important National Economic Development Strategy for China
CHINA DAILY | HONG KONG EDITION Friday, December 20, 2019 | 7 th ANNIVERSARY OF MACAO SAR Greater prospects As part of the 13th Five-Year Plan, the Guangdong-Hong Kong-Macao Greater Bay Area is an important national economic development strategy for China Globally influential Vibrant international world-class innovation and city cluster technology hub GOALS OF GREATER Important Quality area for BAY AREA support pillar for living, working and the Belt and Road traveling Initiative Showcase for in-depth cooperation GUANGDONG between the Chinese mainland, Hong Kong and Macao Guangzhou Zhaoqing Foshan Dongguan Jiangmen Huizhou Shenzhen GREATER BAY AREA Zhongshan INFORMATION Hong Kong Member cities: Macao Two special administrative Zhuhai 47 regions, plus nine Bachelor’s degree Guangdong cities Population Area Unit: million GDP Unit: sq km EDUCATION Unit: billion yuan Hong Kong SAR 1,106 Macao SAR 32.9 LEVELS IN 9 GREATER Guangdong Master’s degree and above BAY AREA 1,997 Shenzhen Unit: percent 2,297 Guangzhou 7,434 Hong Kong SAR 7.39 Hong Kong SAR 2.2 Foshan 3,798 9.3 Junior high Vocational Dongguan 2,460 and below senior high Huizhou 11,346 Zhongshan 1,784 Jiangmen 9,505 Zhuhai 1,732 Macao SAR 340 0.65 Macao SAR Zhaoqing 14,891 32.5 Vocational college GUANGDONG GUANGDONG 65.3 Guangzhou Bay Area plan gives Macao a key role 64 Shenzhen Shenzhen 2,244 12.53 Shenzhen By ZHANG YANGFEI MACAO: [email protected] SMALL BUT WEALTHY OVERNIGHT 24.5 The outline development plan for the Guangdong- Macao' s global ranking in VISITORS TO Zhuhai Hong Kong-Macao Greater Bay Area, unveiled by the GDP per capita according 4th CITIES IN central government in February, listed Macao as one of 16.9 to the World Bank. -
THE CASE of DONGGUAN, Chinai
Title: ICT CLUSTERS PROMOTING INNOVATION AND SOCIAL CHANGE: THE CASE OF DONGGUAN, CHINAi Brief Running Title: ICT CLUSTERS FOR INNOVATION AND SOCIAL CHANGE PAPER SUBMITTED – PLEASE DO NOT QUOTE WITHOUT AUTHORS’ PERMISSION Authors (Names and Family Names): Elisa BARBIERI**, Marco R. DI TOMMASO*, Chiara POLLIO*§, Lauretta RUBINI* *Department of Economics and Management, University of Ferrara – Via Voltapaletto, 11 – 44121 Ferrara (ITALY) **Department of Statistics and Economics, University of Udine – Via Tomadini, 30 – 33100 Udine (ITALY) §Corresponding author: University of Ferrara – Via Voltapaletto, 11 – 44121 Ferrara (ITALY) [email protected] Phone: +39 0532 455085 Fax: +39 0532 205349 Declarations of interest: none Funding: This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. Abstract: We investigate under what conditions specializing in ICT pays to a territory in terms of technological innovation and social change. Our analysis focuses on the case of Dongguan, China, which is a core area in the development of the national ICT industry. We perform an empirical analysis based upon a unique township-level dataset covering several years (2001-2015). We integrate the quantitative data with qualitative information on the past and future prospects of Dongguan clusters, gathered through a number of fieldworks and interviews with top managers, policy-makers and relevant stakeholders in both provincial and local institutions. Our findings suggest that (1) specialising in ICT can pay in terms of innovative performances, provided that it is supported by an institutional setting aimed at collectively promoting innovation, a sufficient degree of extra-cluster relations and a sufficiently high level of education of the population. -
Pollutant Jinan Hangzhou Chongqing Guangzhou Foshan Zhaoqing
Air Quality and Climate Change Program in China • 1st AQM network • Annual workshop • Capacity building activities • Clean air tools application Clean Air Scorecard Application in China • Jinan , Hangzhou (2010,2013) • 3 PRD Cities (2012,2013) • Chongqing (2013) Summary of results- 2013 Local Partners Jinan Hangzhou Chongqing Guangzhou Foshan Zhaoqing JN EPB HZ EPB CQ EPB GZ EPB FS EPB ZQ EPB Jinan Chongqing • Guangdong Environmental Research Research Protection Department Academy of Academy of • Guangdong Research Academy of Environme Environme Environmental Science ntal Science ntal Science * Research Academy of Environmental Science play the supporting role for clean air policy making at both province and city level. About the 6 cities Jinan Hangzhou Chongqing Guangzhou Foshan Zhaoqing Land Area 8,177 3,068 5,473 3,843 3,798 14,891 (sq.km) GDP 72 128 496 223 101.97 21.75 (billion $) Population 6.09 6.32 6.3 11.11 7.23 3.95 (million) Vehicle 1.40 2.27 0.93 2.33 1.04 0.17 (million) * Note: 2012 data Index 1: Air Pollution & Health Index (1) Concentration µg/m3 (ave) NO2 Data availability varies per city- Hangzhou and Chongqing do not SO2 have PM2.5 data by the end of O3 2012; only Chongqing has Pb data SO2, PM concentrations are PM10 relatively higher in Jinan PM2.5 PM2.5 concentrations exceed the AQ standard (PM2.5 = 35 µg/m3 annual ave) 0 50 100 150 200 Zhaoqing Foshan Guangzhou Chongqing Hangzhou Jinan Index 1: Air Pollution & Health Index (2) Jinan Hangzhou Chongqing Guangzhou Foshan Zhaoqing Final Score 3.6 9.6 8.7 6.9 6.8 6.6