Industrial Integration in Changchun and Jilin City Based on the Similar Coefficients of Industrial Structure
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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. -
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 -
Changchun–Harbin Expressway Project
Performance Evaluation Report Project Number: PPE : PRC 30389 Loan Numbers: 1641/1642 December 2006 People’s Republic of China: Changchun–Harbin Expressway Project Operations Evaluation Department CURRENCY EQUIVALENTS Currency Unit – yuan (CNY) At Appraisal At Project Completion At Operations Evaluation (July 1998) (August 2004) (December 2006) CNY1.00 = $0.1208 $0.1232 $0.1277 $1.00 = CNY8.28 CNY8.12 CNY7.83 ABBREVIATIONS AADT – annual average daily traffic ADB – Asian Development Bank CDB – China Development Bank DMF – design and monitoring framework EIA – environmental impact assessment EIRR – economic internal rate of return FIRR – financial internal rate of return GDP – gross domestic product ha – hectare HHEC – Heilongjiang Hashuang Expressway Corporation HPCD – Heilongjiang Provincial Communications Department ICB – international competitive bidding JPCD – Jilin Provincial Communications Department JPEC – Jilin Provincial Expressway Corporation MOC – Ministry of Communications NTHS – national trunk highway system O&M – operations and maintenance OEM – Operations Evaluation Mission PCD – provincial communication department PCR – project completion report PPTA – project preparatory technical assistance PRC – People’s Republic of China RRP – report and recommendation of the President TA – technical assistance VOC – vehicle operating cost NOTE In this report, “$” refers to US dollars. Keywords asian development bank, development effectiveness, expressways, people’s republic of china, performance evaluation, heilongjiang province, jilin province, transport Director Ramesh Adhikari, Operations Evaluation Division 2, OED Team leader Marco Gatti, Senior Evaluation Specialist, OED Team members Vivien Buhat-Ramos, Evaluation Officer, OED Anna Silverio, Operations Evaluation Assistant, OED Irene Garganta, Operations Evaluation Assistant, OED Operations Evaluation Department, PE-696 CONTENTS Page BASIC DATA v EXECUTIVE SUMMARY vii MAPS xi I. INTRODUCTION 1 A. -
The First Real-Estate Development by Japanese Developers in Changchun, Jilin Province, China Marubeni Coporation and Mitsubishi Jisho Residence Co., Ltd
July 18, 2013 Marubeni Corporation Mitsubishi Jisho Residence Co., Ltd. The First Real-Estate Development by Japanese Developers in Changchun, Jilin Province, China Marubeni Coporation and Mitsubishi Jisho Residence Co., Ltd. set off the Joint Development –“Changchun Jingyue Project (Tentative)” <Perspective of the project> Marubeni Corporation (“Marubeni”) and Mitsubishi Jisho Residence Co., Ltd. (“Mitsubishi Jisho Residence”), as the first Japanese developers, plan to implement a real-estate development project with Jilin Weifeng Industry Co., Ltd. (“Weifeng”), a local Chinese developer, in Changchun, China. This project, as our first project in Changchun, with an area of 130,000 square meters, is located in Changchun Jingyue National High-tech Industrial Development Zone (“Jingyue DZ”), concentrating on Town House and Residential. The Project Company, Changchun Top Chance Property Development Co., Ltd. (“Changchun Top Chance”) owned by Marubeni (40%), Weifeng (35%) and Mitsubishi Jisho Residence (25%), has started the construction for the release this coming fall. Changchun is the capital of Jilin Province, also a core city in the northeastern part of China, with a population of 7,620,000. It is administered as one of 15 sub-provincial cities which are independent and equivalent to provinces. Having a solid industrial basis including automobile manufacturing as typified by FAW (First Automotive Works) Group, along with manufacturing transportation facilities and processing agricultural products, Changchun is continuing double digit economic growth, which is higher than the national average. Jingyue DZ is a national-level development zone approved by the State Council in August, 2012, with an area of 479 square kilometers, of which about half of the area, 243 square kilometers, consists of forest and a lake. -
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 -
This Is Northeast China Report Categories: Market Development Reports Approved By: Roseanne Freese Prepared By: Roseanne Freese
THIS REPORT CONTAINS ASSESSMENTS OF COMMODITY AND TRADE ISSUES MADE BY USDA STAFF AND NOT NECESSARILY STATEMENTS OF OFFICIAL U.S. GOVERNMENT POLICY Voluntary - Public Date: 12/30/2016 GAIN Report Number: SH0002 China - Peoples Republic of Post: Shenyang This is Northeast China Report Categories: Market Development Reports Approved By: Roseanne Freese Prepared By: Roseanne Freese Report Highlights: Home to winter sports, ski resorts, and ancient Manchurian towns, Dongbei or Northeastern China is home to 110 million people. With a down-home friendliness resonant of the U.S. Midwest, Dongbei’s denizens are the largest buyer of U.S. soybeans and are China’s largest consumers of beef and lamb. Dongbei companies, processors and distributors are looking for U.S. products. Dongbei importers are seeking consumer-ready products such as red wine, sports beverages, and chocolate. Processors and distributors are looking for U.S. hardwoods, potato starch, and aquatic products. Liaoning Province is also set to open China’s seventh free trade zone in 2018. If selling to Dongbei interests you, read on! General Information: This report provides trends, statistics, and recommendations for selling to Northeast China, a market of 110 million people. 1 This is Northeast China: Come See and Come Sell! Home to winter sports, ski resorts, and ancient Manchurian towns, Dongbei or Northeastern China is home to 110 million people. With a down-home friendliness resonant of the U.S. Midwest, Dongbei’s denizens are the largest buyer of U.S. soybeans and are China’s largest consumers of beef and lamb. Dongbei companies, processors and distributors are looking for U.S. -
Low Carbon Development Roadmap for Jilin City Jilin for Roadmap Development Carbon Low Roadmap for Jilin City
Low Carbon Development Low Carbon Development Roadmap for Jilin City Roadmap for Jilin City Chatham House, Chinese Academy of Social Sciences, Energy Research Institute, Jilin University, E3G March 2010 Chatham House, 10 St James Square, London SW1Y 4LE T: +44 (0)20 7957 5700 E: [email protected] F: +44 (0)20 7957 5710 www.chathamhouse.org.uk Charity Registration Number: 208223 Low Carbon Development Roadmap for Jilin City Chatham House, Chinese Academy of Social Sciences, Energy Research Institute, Jilin University, E3G March 2010 © Royal Institute of International Affairs, 2010 Chatham House (the Royal Institute of International Affairs) is an independent body which promotes the rigorous study of international questions and does not express opinion of its own. The opinions expressed in this publication are the responsibility of the authors. All rights reserved. No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical including photocopying, recording or any information storage or retrieval system, without the prior written permission of the copyright holder. Please direct all enquiries to the publishers. Chatham House 10 St James’s Square London, SW1Y 4LE T: +44 (0) 20 7957 5700 F: +44 (0) 20 7957 5710 www.chathamhouse.org.uk Charity Registration No. 208223 ISBN 978 1 86203 230 9 A catalogue record for this title is available from the British Library. Cover image: factory on the Songhua River, Jilin. Reproduced with kind permission from original photo, © Christian Als, -
The Spatial Differentiation of the Suitability of Ice-Snow Tourist Destinations Based on a Comprehensive Evaluation Model in China
sustainability Article The Spatial Differentiation of the Suitability of Ice-Snow Tourist Destinations Based on a Comprehensive Evaluation Model in China Jun Yang 1,*, Ruimeng Yang 1, Jing Sun 1, Tai Huang 2,3,* and Quansheng Ge 3 1 Liaoning Key Laboratory of Physical Geography and Geomatics, Liaoning Normal University, Dalian 116029, China; [email protected] (R.Y.); [email protected] (J.S.) 2 Department of Tourism Management, Soochow University, Suzhou 215123, China 3 Key Laboratory of Land Surface Patterns and Simulation, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China; [email protected] * Correspondence: [email protected] (J.Y.); [email protected] (T.H.) Academic Editors: Jun Liu, Gang Liu and This Rutishauser Received: 1 February 2017; Accepted: 4 May 2017; Published: 8 May 2017 Abstract: Ice, snow, and rime are wonders of the cold season in an alpine climate zone and climate landscape. With its pure, spectacular, and magical features, these regions attract numerous tourists. Ice and snow landscapes can provide not only visually-stimulating experiences for people, but also opportunities for outdoor play and movement. In China, ice and snow tourism is a new type of recreation; however, the establishment of snow and ice in relation to the suitability of the surrounding has not been clearly expressed. Based on multi-source data, such as tourism, weather, and traffic data, this paper employs the Delphi-analytic hierarchy process (AHP) evaluation method and a spatial analysis method to study the spatial differences of snow and ice tourism suitability in China. China’s ice and snow tourism is located in the latitude from 35◦N to 53.33◦N and latitude 41.5◦N to 45◦N and longitude 82◦E to 90◦E, with the main focus on latitude and terrain factors. -
Artificial Intelligence and Copyright Protection --Judicial Practice in Chinese Courts
Artificial Intelligence and Copyright Protection --Judicial Practice in Chinese Courts ZHOU Bo Senior Judge of the IPR Division of the Supreme People’s Court of China In China, artificial intelligence (“AI”) has been widely used in innovative applications in many fields, resulting in tremendous efficiency and productivity. Not surprisingly AI related lawsuits arise and are being brought to Chinese courts for adjudication. Thanks to the kind invitation from the WIPO, I am honored to have the opportunity to talk about some latest court cases in China in this area. The key case I will highlight is a copyright dispute between Shenzhen Tencent Computer System Co., Ltd. (“Shenzhen Tencent”) and Shanghai Yingxun Technology Co., Ltd. (“Shanghai Yingxun”), which was adjudicated by Nanshan District People's Court, Shenzhen, Guangdong Province on December 24, 2019 (Shenzhen Tencent v. Shanghai Yingxun). A core issue here is whether AI-generated content is copyrightable or not? When analyzing this case, other related cases will also be mentioned. A. Basic facts Tencent Technology (Beijing) Co., Ltd. (Beijing Tencent) has independently developed a set of data and algorithm-based intelligent writing assistance system called "Dreamwriter" to meet the needs of large-scale and personalized content businesses. Beijing Tencent has licensed the Dreamwriter computer software to the Plaintiff Shenzhen Tencent in this case. On August 20, 2018, Shenzhen Tencent first published a financial reporting article on the Tencent Securities website and noted at the end that: “This article was automatically written by Tencent's robot Dreamwriter”. The Defendant in this case, Shanghai Yingxun, without Tencent's permission and authorization, reprinted the article on its website on the day it was published. -
Broadening of SLR Network in Chinese Mainland
13-Po07 Broadening of SLR Network in Chinese Mainland Li-ping JI Satellite Observatory, Chinese Academy of Surveying & Mapping (E-mail: [email protected]) A b s t r a c t Chinese mainland should broaden its SLR network ,to determine and check up the orbits of its Compass/Beidou satellites. At least 3 new stations should be located in west China's Urumqi, Xining and Lhasa. Three broadening plans of SLR network can be thought about ,and more mobile systems may be designed .Three methods can be used in overcoming its main difficulty. Satellite laser ranging, as a space technology to achieve the highest absolute accuracy of the distance measurement , has developed nearly half a century . In mainland China , geodesy, geodynamics , seismology and astronomy research departments , satellite laser ranging technology sustained attention to nearly four decades .In the distribution of China, satellite laser ranging stations , relative to its vast recovery , it is too sparse .This situation not only restricted the use of satellite laser ranging technology and development in these sectors , but also stagnated others’ technology sector pace. In Yousaf Butt’s literature(2007), China has five fixed stations and two mobile stations . Unfortunately , their operation is not entirely. In mainland China, the development of satellite laser ranging technology, on the last number , there are ups and downs and volatility , its rate of expansion and global positioning technology can not be in the same breath . Relative lack of talent, relatively backward technology, and economic constraints of the amount invested , are not conducive to widespread use of this technology. -
Global Automotive Suppliers in China Aisin Seiki Co
Global automotive suppliers in China Aisin Seiki Co. Tianjin Office, 1st Floor, Aster Plaza, No. 32 Taierzhuang Road, Heping District, Tianjin 300040, P.R. China (86) 22-2303-3582, www.aisin.com Top executive: Fumio Ochiai, general manager Plant Name City, State/Province Products Zhejiang Aisin Hongda Automobile Parts Co. Taizhou, Zhejiang Fan couplings, oil pumps, water pumps, cylinder heads cover, timing chain covers, oil pans Tangshan Aisin Gear Co. Tangshan, Hebei Manual transmissions Tianjin Aisin Automobile Parts Co. Tianjin Tandem master cylinders, brake assist boosters, clutch covers, clutch discs Aisin Tianjin Body Parts Co. Tianjin Door latches, window regulators, door hinges, hood latches, hood hinges, inside handle, outside handles Aisin Seiki Foshan Automotive Parts Co. Shunde, Guangdong Crankcases, timing chain covers Fengai Automotive Seat Parts Co. Guangzhou, Guangdong Seat backs, seat cushions, seat tracks, seat frames Aisin Seiki Foshan Body Parts Co. Xiaotang, Guangdong Sunroofs, motor housing for power seats Tangshan Aisin Automotive Parts Co. Tangshan, Hebei Timing chain cases, crankcases, automatic transmission cases Tianjin Feng Ai Automotive Seat Parts., Tianjin Seat frames, seat adjusters, rails Takaoka Lioho Industries Co. Tianjin Machinings Tianjin AW Automotic Transmission Co. Tianjin Automatic transmissions Advics Tianjin Automobile Parts Co. Tianjin Brake components and systems Advics Guangzhou Automobile Parts Co. Guangzhou, Guangdong Brake components and systems Hosie (Fuzhou) Brake Industry Co. Fuzhou, Fujian Brake components and systems Autoliv No. 820 Gao Tai Road, Shanghai 201821, P.R. China (86) 21-6916-9699, www.autoliv.com Top executive: George Chang, president China Operations Plant Name City, State/Province Products Autoliv (Shanghai) Vehicle Safety Systems Co. -
Shanghai FIR
Beijing FIR 1 2 19 15 8 11 FIR Point Long Type FIR ICAO Code Office Lat Long Lat Input Input Comment 1 452317N 1 1152115E FIR BEIJING ZBPE APAC 452500N 1151900E 45.40054 115.2947 RAN/2 2 FIR BEIJING ZBPE APAC 431500N 1173100E 43.25 117.5167 1 RAN/2 3 FIR BEIJING ZBPE APAC 395400N 1192100E 39.9 119.35 1 4 FIR BEIJING ZBPE APAC 393000N 1195200E 39.5 119.8667 1 5 FIR BEIJING ZBPE APAC 381500N 1200000E 38.25 120 1 6 FIR BEIJING ZBPE APAC 372900N 1173000E 37.48333 117.5 1 7 FIR BEIJING ZBPE APAC 363200N 1151800E 36.53333 115.3 1 8 FIR BEIJING ZBPE APAC 362100N 1145500E 36.35 114.9167 1 9 FIR BEIJING ZBPE APAC 360600N 1142100E 36.1 114.35 1 10 FIR BEIJING ZBPE APAC 345400N 1124700E 34.9 112.7833 1 11 3405N 1 11029E FIR BEIJING ZBPE APAC 340000N 1102900E 34 110.4833 RAN/2 12 FIR BEIJING ZBPE APAC 343200N 1101500E 34.53333 110.25 1 RAN/2 13 FIR BEIJING ZBPE APAC 353200N 1101800E 35.53333 110.3 1 14 FIR BEIJING ZBPE APAC 372800N 1104400E 37.46667 110.7333 1 15 FIR BEIJING ZBPE APAC 382200N 1103600E 38.36666 110.6 1 16 FIR BEIJING ZBPE APAC 384400N 1094100E 38.73333 109.6833 1 17 FIR BEIJING ZBPE APAC 402000N 1070100E 40.33333 107.0167 1 18 FIR BEIJING ZBPE APAC 404300N 1055500E 40.71667 105.9167 1 19 414451N 1 1051345E FIR BEIJING ZBPE APAC 414400N 1051300E 41.74361 105.218 RAN/2 Along political boundary to (1) Note: 1.