Mega-Regions of the Future: GBA and Its Global Peers
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The Functional Structure Convergence of China's Coastal Ports
sustainability Article The Functional Structure Convergence of China’s Coastal Ports Wei Wang 1,2,3, Chengjin Wang 1,* and Fengjun Jin 1 1 Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China; [email protected] (W.W.); [email protected] (F.J.) 2 University of Chinese Academy of Sciences, Beijing 100049, China 3 School of Geography, Beijing Normal University, Beijing 100875, China * Correspondence: [email protected] Received: 6 September 2017; Accepted: 23 November 2017; Published: 28 November 2017 Abstract: Functional structure is an important part of a port system, and can reflect the resource endowments and economic development needs of the hinterland. In this study, we investigated the transportation function of coastal ports in China from the perspective of cargo structure using a similarity coefficient. Our research considered both adjacent ports and hub ports. We found that the transportation function of some adjacent ports was very similar in terms of outbound structure (e.g., Qinhuangdao and Huanghua) and inbound structure (e.g., Huanghua and Tangshan). Ports around Bohai Bay and the port group in the Yangtze River Delta were the most competitive areas in terms of outbound and inbound structure, respectively. The major contributors to port similarity in different regions varied geographically due to the different market demands and cargo supplies. For adjacent ports, the functional convergence of inbound structure was more serious than the outbound. The convergence between hub ports was more serious than between adjacent ports in terms of both outbound and inbound structure. The average similarity coefficients displayed an increasing trend over time. -
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. -
4Q19 Earnings Call Presentation January 29, 2020 Forward Looking Statements
4Q19 Earnings Call Presentation January 29, 2020 Forward Looking Statements This presentation contains forward-looking statements made pursuant to the Safe Harbor Provisions of the Private Securities Litigation Reform Act of 1995. Forward-looking statements involve a number of risks, uncertainties or other factors beyond the company’s control, which may cause material differences in actual results, performance or other expectations. These factors include, but are not limited to, general economic conditions, disruptions or reductions in travel, as well as in our operations, due to natural or man-made disasters, pandemics, epidemics, or outbreaks of infectious or contagious diseases such as the coronavirus originating in Wuhan, China, new development, construction and ventures, government regulation, risks relating to our gaming licenses and subconcession, fluctuations in currency exchange rates and interest rates, substantial leverage and debt service, gaming promoters, competition, tax law changes, infrastructure in Macao, political instability, civil unrest, terrorist acts or war, legalization of gaming, insurance, our subsidiaries’ ability to make distribution payments to us, and other factors detailed in the reports filed by Las Vegas Sands with the Securities and Exchange Commission. Readers are cautioned not to place undue reliance on these forward- looking statements, which speak only as of the date thereof. Las Vegas Sands assumes no obligation to update such information. Within this presentation, the company may make reference -
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sustainability Article Efficiency Loss and Intensification Potential of Urban Industrial Land Use in Three Major Urban Agglomerations in China Xiangdong Wang 1,2,3,* , Xiaoqiang Shen 1,2 and Tao Pei 3 1 College of Management, Lanzhou University, Lanzhou 730000, China; [email protected] 2 Institute for Studies in County Economy Development, Lanzhou University, Lanzhou 730000, China 3 Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; [email protected] * Correspondence: [email protected] Received: 24 December 2019; Accepted: 20 February 2020; Published: 22 February 2020 Abstract: In recent decades, efficiency and intensification have emerged as hot topics within urban industrial land use (UILU) studies in China. However, the measurement and analysis of UILU efficiency and intensification are not accurate and in-depth enough. The study of UILU efficiency loss and intensification potential and their relationship is still lacking, and the application of parametric methods with clearer causal mechanisms is insufficient. This paper argued that the intensification potential of UILU could be defined as the amount of saved land or output growth resulting from reduced efficiency loss of UILU. Accordingly, we constructed quantitative models for measuring and evaluating the intensification potential of UILU, using the stochastic frontier analysis (SFA) method to calculate efficiency loss in three major urban agglomerations (38 cities) in China. Our results revealed a large scale and an expanding trend in the efficiency loss and intensification potential of UILU in three major urban agglomerations in China. From 2003 to 2016, the annual efficiency loss of UILU was 31.56%, the annual land-saving potential was 979.98 km2, and the annual output growth potential was 8775.23 billion Yuan (referring to the constant price for 2003). -
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 -
Dk-77956-M1-Ul
Ref. Certif. No. DK-77956-M1-UL IEC SYSTEM FOR MUTUAL RECOGNITION OF TEST CERTIFICATES FOR ELECTRICAL EQUIPMENT (IECEE) CB SCHEME CB TEST CERTIFICATE Product Din-rail Switching Power Supply Name and address of the applicant MEAN WELL Enterprises Co., Ltd. No.28, Wuquan 3rd Rd., Wugu District, New Taipei City 24891, Taiwan Name and address of the manufacturer MEAN WELL Enterprises Co., Ltd. No.28, Wuquan 3rd Rd., Wugu District, New Taipei City 24891, Taiwan Name and address of the factory MEAN WELL Enterprises Co., Ltd. No.28, Wuquan 3rd Rd., Wugu District, New Taipei City 24891, Note: When more than one factory, please report on page 2 Taiwan Additional Information on page 2 Ratings and principal characteristics See Page 2 Trademark (if any) Type of Customer’s Testing Facility (CTF) Stage used CTF Stage 1 Model / Type Ref. HDR-150-X See Page 2 Additional information (if necessary may also be Additionally evaluated to EN 62368-1:2014 / A11:2017; reported on page 2) National Differences specified in the CB Test Report. Additional Information on page 2 A sample of the product was tested and found IEC 62368-1:2014 to be in conformity with As shown in the Test Report Ref. No. which forms part E183223-4788807513-1 am1 issued on 2019-01-21 of this Certificate This CB Test Certificate is issued by the National Certification Body UL (US), 333 Pfingsten Rd IL 60062, Northbrook, USA UL (Demko), Borupvang 5A DK-2750 Ballerup, DENMARK UL (JP), Marunouchi Trust Tower Main Building 6F, 1-8-3 Marunouchi, Chiyoda-ku, Tokyo 100-0005, JAPAN UL (CA), 7 Underwriters Road, Toronto, M1R 3B4 Ontario, CANADA For full legal entity names see www.ul.com/ncbnames Date: 2019-01-23 Signature: Original Issue Date: 2018-11-07 Jan-Erik Storgaard 1/2 Ref. -
INTERIM REPORT 2019 3 Business Review
SHENZHEN INVESTMENT HOLDINGS BAY AREA DEVELOPMENT COMPANY LIMITED (incorporated in the Cayman Islands with limited liability) Stock Codes: 737 (HKD counter) & 80737 (RMB counter) 2019 Guangzhou INTERIM REPORT Huizhou Dongguan Foshan Jiangmen Shenzhen Zhongshan Hong Kong Zhuhai Macao AboutsAbout Us Us Shenzhen Investment Holdings Bay Area Development Company Limited (formerly known as Hopewell Highway Infrastructure Limited) (the “Company”) (stock codes: 737 (HKD counter) and 80737 (RMB counter)), listed on the Stock Exchange since August 2003, adopts development strategies focusing on the infrastructure and correlated business within the Guangdong-Hong Kong-Macao Greater Bay Area. Shenzhen Investment Holdings Company Limited, a corporation wholly-owned by Shenzhen Municipal State-owned Assets Supervision and Administration Commission, became the ultimate parent company of the Company on 4 April 2018. Contents 2 Business Review 13 Financial Review 22 Interim Dividend 23 Other Information 28 Report on Review of Condensed Consolidated Financial Statements 29 Condensed Consolidated Statement of Profit or Loss and Other Comprehensive Income 30 Condensed Consolidated Statement of Financial Position 31 Condensed Consolidated Statement of Changes in Equity 32 Condensed Consolidated Statement of Cash Flows 33 Notes to the Condensed Consolidated Financial Statements 43 Appendix – Unaudited Condensed Consolidated Financial Information (Prepared under Proportionate Consolidation Method) 45 5-Year Financial Summary 48 Glossary 51 Corporate Information 52 Financial Calendar BUSINESS REVIEW General Business Performance Aggregate average daily toll revenue generated by the GS Superhighway and the GZ West Superhighway (also known as the “Western Delta Route”) in the first half of 2019 amounted to RMB12.69 million, largely flat YoY as compared to the corresponding period last year, whereas the total toll revenue was RMB2.296 billion. -
EDUCATION in CHINA a Snapshot This Work Is Published Under the Responsibility of the Secretary-General of the OECD
EDUCATION IN CHINA A Snapshot This work is published under the responsibility of the Secretary-General of the OECD. The opinions expressed and arguments employed herein do not necessarily reflect the official views of OECD member countries. This document and any map included herein are without prejudice to the status of or sovereignty over any territory, to the delimitation of international frontiers and boundaries and to the name of any territory, city or area. Photo credits: Cover: © EQRoy / Shutterstock.com; © iStock.com/iPandastudio; © astudio / Shutterstock.com Inside: © iStock.com/iPandastudio; © li jianbing / Shutterstock.com; © tangxn / Shutterstock.com; © chuyuss / Shutterstock.com; © astudio / Shutterstock.com; © Frame China / Shutterstock.com © OECD 2016 You can copy, download or print OECD content for your own use, and you can include excerpts from OECD publications, databases and multimedia products in your own documents, presentations, blogs, websites and teaching materials, provided that suitable acknowledgement of OECD as source and copyright owner is given. All requests for public or commercial use and translation rights should be submitted to [email protected]. Requests for permission to photocopy portions of this material for public or commercial use shall be addressed directly to the Copyright Clearance Center (CCC) at [email protected] or the Centre français d’exploitation du droit de copie (CFC) at [email protected]. Education in China A SNAPSHOT Foreword In 2015, three economies in China participated in the OECD Programme for International Student Assessment, or PISA, for the first time: Beijing, a municipality, Jiangsu, a province on the eastern coast of the country, and Guangdong, a southern coastal province. -
Tier 1 Factories No
Tier 1 Factories No. Females Factory Address No. No. male Audit Factory Name Province Country Category Female in Mgmt (= Street # / Town / City) Workers workers Rating Workers roles Dixiang Shoes Factory No.1, Street 12, Xinxing Road 3, Huangbu Town, Huidong county Guangdong China Footwear Anhui Hemao Zhongyi garment co., ltd No. 17 Wanshui Rd, Qianshan County Comprehensive Economic Development Zone,Anqing, Anhui China Apparel 150 30 120 10 Bogart Lingerie (Shenzhen) Ltd No 28-29 Building, No 3 Industrial Park Citanpu Community Gong Ming New District Shenzhen China Apparel 900 300 600 4 Chang Shu Qing Chuan Knitting Co.,LTD. Zhou Jia Qiao Village,Xin Gang Town,Chang Shu City,Jiang Su Jiangsu China Apparel 120 24 96 7 Changzhou Runyu Co Ltd No.23, Chun Qiu Road, Hutang, Changzhou Jiangsu China Apparel 106 30 76 20 ChangZhou Shenglai Garments Co. Ltd No.1 Kele Road, Xinbei District, Changzhou Jiangsu China Apparel 214 45 169 35 Dongguan Shun Fat Underwear Manufactory Ltd Jiaoli Village, Zhongtang Town, Dongguan City, Guangdong Dongguan China Apparel 414 142 272 Dongxing garment factory (sweater factory) 3rd floor,No.15,Baoshu road,Baiyun district,Guangzhou Guangdong China Apparel 40 15 25 5 Guangdong Oleno Underwear Group Co., Ltd. No.1 North of Jianshe Road, Bichong, Huangqi, Nanhai District, Foshan City Guangdong China Apparel 588 143 445 48 Guangzhou Guanjie Garment Co. Ltd (+Hong Bei) 4th Floor ,Building D ,Shiqi Village ,Shilian Road ,Shiji Town ,Panyu District ,Guangzhou Guangdong China Apparel 85 32 53 4 Guangzhou Hanchen Garment Company 3rd Floor, No.8, Lane 2, Shajiao Middle Road, Xiajiao Town, Panyu District Guangzhou China Apparel 53 21 32 6 Guangzhou Hejin Garment Co. -
Bay to Bay: China's Greater Bay Area Plan and Its Synergies for US And
June 2021 Bay to Bay China’s Greater Bay Area Plan and Its Synergies for US and San Francisco Bay Area Business Acknowledgments Contents This report was prepared by the Bay Area Council Economic Institute for the Hong Kong Trade Executive Summary ...................................................1 Development Council (HKTDC). Sean Randolph, Senior Director at the Institute, led the analysis with support from Overview ...................................................................5 Niels Erich, a consultant to the Institute who co-authored Historic Significance ................................................... 6 the paper. The Economic Institute is grateful for the valuable information and insights provided by a number Cooperative Goals ..................................................... 7 of subject matter experts who shared their views: Louis CHAPTER 1 Chan (Assistant Principal Economist, Global Research, China’s Trade Portal and Laboratory for Innovation ...9 Hong Kong Trade Development Council); Gary Reischel GBA Core Cities ....................................................... 10 (Founding Managing Partner, Qiming Venture Partners); Peter Fuhrman (CEO, China First Capital); Robbie Tian GBA Key Node Cities............................................... 12 (Director, International Cooperation Group, Shanghai Regional Development Strategy .............................. 13 Institute of Science and Technology Policy); Peijun Duan (Visiting Scholar, Fairbank Center for Chinese Studies Connecting the Dots .............................................. -
Epidemiologic Clues to SARS Origin in China Rui-Heng Xu,* Jian-Feng He,* Meirion R
RESEARCH Epidemiologic Clues to SARS Origin in China Rui-Heng Xu,* Jian-Feng He,* Meirion R. Evans,†‡ Guo-Wen Peng,* Hume E Field,§ De-Wen Yu,* Chin-Kei Lee,¶ Hui-Min Luo,* Wei-Sheng Lin,* Peng Lin,* Ling-Hui Li,* Wen-Jia Liang,* Jin-Yan Lin,* and Alan Schnur#1 An epidemic of severe acute respiratory syndrome ipalities (Foshan, Jiangmen, Zhongshan, Guangzhou, (SARS) began in Foshan municipality, Guangdong Shenzhen, Zhaoqing) from November 2002 to mid- Province, China, in November 2002. We studied SARS January 2003. On February 3, 2003, province-wide case reports through April 30, 2003, including data from mandatory case reporting of atypical pneumonia that used case investigations and a case series analysis of index a standard case definition and reporting form was institut- cases. A total of 1,454 clinically confirmed cases (and 55 deaths) occurred; the epidemic peak was in the first week ed. The provincial health department also introduced a of February 2003. Healthcare workers accounted for 24% range of public health control measures, including guide- of cases. Clinical signs and symptoms differed between lines on epidemiologic investigation of cases and contacts children (<18 years) and older persons (>65 years). (February 3) and on hospital admission, clinical manage- Several observations support the hypothesis of a wild ani- ment, and infection control arrangements for patients mal origin for SARS. Cases apparently occurred independ- (February 9). Subsequently, the department issued guide- ently in at least five different municipalities; -
Study on the Measurement of Regional Economic Connection in the Pearl River Delta
Advances in Social Science, Education and Humanities Research, volume 416 4th International Conference on Culture, Education and Economic Development of Modern Society (ICCESE 2020) Study on the Measurement of Regional Economic Connection in the Pearl River Delta Longfang Chen Zhuhai College of Jilin University Zhuhai, China 519041 Abstract—The process of regional economic development is agricultural products, and in technology and economy. [1] a process in which regional economic connections are The measures include accessibility, economic influence continuously strengthened. This paper uses gravity model to scope, economic connection strength, the degree of measure the economic connection strength and total strength economic membership, and so on. The measurement models of cities in the Pearl River Delta from 2000 to 2017, and then mainly include gravity model, central function intensity calculates the economic connection strength within the region, model, and potential model. Many scholars in academia have and analyzes the historical trajectory of economic connections used various methods to measure and study the regional in the Pearl River Delta. The results show that the total economic connections in the economic zone on the west side strength of economic connections between the cities in the of the Straits, the Beijing-Tianjin-Hebei urban Pearl River Delta keeps going up, forming the Guangzhou- agglomeration, the Yangtze River Delta, and the Pearl River Foshan-Shenzhen area with the strongest total strength of connections, Dongguan-Zhongshan-Jiangmen area with strong Delta [2] [3] [4] [5] [6] [7]. Regarding the study of regional total strength and Huizhou-Zhuhai-Zhaoqing area with weak economic connection in the Pearl River Delta, Zhu Lie total strength.