Jilin Urban Infrastructure Project
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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. -
Analyzing Ecological Vulnerability and Vegetation Phenology Response Using NDVI Time Series Data and the BFAST Algorithm
remote sensing Article Analyzing Ecological Vulnerability and Vegetation Phenology Response Using NDVI Time Series Data and the BFAST Algorithm Jiani Ma 1, Chao Zhang 1,2,*, Hao Guo 1, Wanling Chen 1, Wenju Yun 2,3, Lulu Gao 1 and Huan Wang 1 1 College of Land Science and Technology, China Agricultural University, Beijing 100083, China; [email protected] (J.M.); [email protected] (H.G.); [email protected] (W.C.); [email protected] (L.G.); [email protected] (H.W.) 2 Key Laboratory for Agricultural Land Quality Monitoring and Control, Ministry of Natural Resources, Beijing 100035, China; [email protected] 3 Land Consolidation and Rehabilitation Center, Ministry of Natural Resources of the People’s Republic of China, Beijing 100035, China * Correspondence: [email protected] Received: 7 September 2020; Accepted: 13 October 2020; Published: 15 October 2020 Abstract: Identifying ecologically vulnerable areas and understanding the responses of phenology to negative changes in vegetation growth are important bases for ecological restoration. However, identifying ecologically vulnerable areas is difficult because it requires high spatial resolution and dense temporal resolution data over a long time period. In this study, a novel method is presented to identify ecologically vulnerable areas based on the normalized difference vegetation index (NDVI) time series from MOD09A1. Here, ecologically vulnerable areas are defined as those that experienced negative changes frequently and greatly in vegetation growth after the disturbances during 2000–2018. The number and magnitude of negative changes detected by the Breaks for Additive Season and Trend (BFAST) algorithm based on the NDVI time-series data were combined to identify ecologically vulnerable areas. -
Amcham Shanghai Nanjing Center
An Overview of AmCham Shanghai Nanjing Center Jan 2020 Stella Cai 1 Content ▪ About Nanjing Center ▪ Program & Services ▪ Membership Benefits ▪ Become a Member 2 About Nanjing Center The Nanjing Center was launched as an initiative in March 2016. The goal of the Center is to promote the interests of U.S. Community Connectivity Content business in Nanjing and is managed by the American Chamber of Commerce in Shanghai Yangtze River Delta Network. About Nanjing Center – Member Companies EASTMAN Honeywell Cushman Padel Wakefields Sports PMC Hopkins Nanjing Emerson Center Kimball Electronics KPMG Raffles Medical Herman Kay King & Wood Mallesons ▪ About Nanjing Center ▪ Program & Services ▪ Membership Benefits ▪ Become a Member 5 Programs & Services Government Dialogue & Dinner Government Affairs NEXT Summit US VISA Program Member Briefing US Tax Filing Leadership Forum Recruitment Platform Women’s Forum Customized Trainings Business Mixer Marketing & Sponsorship Topical Event Industry Committee Nanjing signature event 35 Nanjing government reps 6 American Government reps 150 to 200 execs from MNCs 2-hour R/T discussion + 2-hour dinner Monthly program focuses on politic & macro economy trend China & US Government officials, industry expert as speakers 2-hour informative session Topics: US-China trade relations; Tax reform, Financial sector opening & reform; Foreign investment laws; IPR; Tariffs exclusion 30-40 yr. manager Newly promoted s Grow management A platform & leadership 5 30 company employee speakers s AmCham granted Certificate Monthly -
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. -
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 -
Country Profile
Country profile COUNTRY FACTS China Capital Beijing Habitat for Humanity in China Main country facts Gained Habitat for Humanity China began operating in Yunnan province in independence 2002 and opened offices in neighboring Guangdong and Guangxi in 1949 provinces in 2004. Habitat provides simple, decent homes to low- income rural families in these regions. Chengdu, the Population Over 1.37 billion provincial capital of Sichuan, is the location of an office which was started to coordinate rebuilding work after the devastating Urbanization 57.9 percent May 2008 earthquake. In 2009, Habitat opened an office in the live in cities financial hub of Shanghai to raise awareness and create partnerships in the Yangzi delta area. Life expectancy 75.7 years The housing need in China Unemployment 4 percent China has an impressive record in reducing poverty. According to rate official data, the world’s most populous country lifted more than 790 million people out of poverty between 1981 and 2012. Rapid Population living 3.3 percent growth and urbanization and economic reforms have been central below poverty line to China’s poverty reduction in the past few decades. By 2020, six in 10 persons living in China will be urban dwellers. However, ------------------------------------------------------ inequality has increased and poverty has become concentrated in Source: World Factbook rural and minority areas, according to the World Bank. There are more than 70 million rural Chinese still living below the country’s poverty line of 2,300 yuan (over US$360) in annual income. Many HABITAT FACTS of the poor lack access to affordable housing, shut out by soaring land and house prices, and the inadequate supply of low-cost accommodation. -
Prevalence of Hypertension and Associated Risk Factors in Dehui City of Jilin Province in China
Journal of Human Hypertension (2015) 29,64–68 & 2015 Macmillan Publishers Limited All rights reserved 0950-9240/15 www.nature.com/jhh ORIGINAL ARTICLE Prevalence of hypertension and associated risk factors in Dehui City of Jilin Province in China QWei1,7, J Sun2,7, J Huang3, H-Y Zhou2, Y-M Ding4, Y-C Tao5, S-M He2, Y-L Liu2 and J-Q Niu6 To evaluate the prevalence, awareness, treatment and control of hypertension and its risk factors in Dehui City of Jilin Province in China. The study was performed among 3778 subjects (male ¼ 1787) in Dehui city, Jilin Province of China. The subjects completed a standard questionnaire, biochemical tests and physical examinations. Logistic regression analyses were used to identify risk factors for hypertension. The prevalence of hypertension was 41.00% in this area. The awareness, treatment and the control of hypertension were 21.82, 15.56 and 1.10%, respectively, with city areas being significantly higher than rural areas. Significant risk factors for hypertension included age, sex, central obesity, alcohol consumption, family history of hypertension, dyslipidemia, education level and type of work. Further analysis showed that diabetes for urban participants and cigarette smoking for rural participants were risk factors but were not statistically significant at the multi-variate level. The prevalence of hypertension in Dehui Ctiy of Jilin Province is higher than in other areas of China. In addition, rates of awareness and treatment of the condition are much lower than in other populations, with the control rate only 1.10%. Journal of Human Hypertension (2015) 29, 64–68; doi:10.1038/jhh.2014.32; published online 3 July 2014 INTRODUCTION other areas in Jilin Province. -
Evolution of the Process of Urban Spatial and Temporal Patterns and Its Influencing Factors in Northeast China
Case Study Evolution of the Process of Urban Spatial and Temporal Patterns and its Influencing Factors in Northeast China Jiawen Xu1; Jianjun Zhao2; Hongyan Zhang3; and Xiaoyi Guo4 Abstract: The evolution of urban temporal and spatial patterns in Northeast China is complicated. In order to study the urbanization process in this area, explore the spatial and temporal laws of urban development in Northeast China, and find the main influencing fac- tors affecting urban development in Northeast China, DMSP/OLS images are used as data sources. Urban built-up areas in Northeast China from 1993 to 2013 are extracted and temporal and spatial patterns of urban development are studied. Combining the economic, population, industrial structure, ecological and other statistical data, a geographical detector is applied to study the main influencing factors of urban development in Northeast China. According to a selection of 10 typical cities, the annual urban expansion speed and the urbanization intensity index are calculated to quantitatively analyze the development of typical cities. The present study indi- cates that the urbanization process in Northeast China was slow during 1995–1996. In fact, except for Daqing, the other typical cities developed slowly before 2003. While the urbanization process accelerated after 2003, it reached to its maximum rate in 2010. Moreover, it is observed that from 1993 to 2013, centers of cities gradually moved to their regional centers. On the other hand, it is concluded that from 2004 to 2013, the regional gross domestic product (GDP), GDP of the secondary industry, gross industrial product, GDP of the tertiary industry and the total investment in fixed assets were main indicators of the urbanization that affected change in the urban built- up area in Northeast China. -
China Russia
1 1 1 1 Acheng 3 Lesozavodsk 3 4 4 0 Didao Jixi 5 0 5 Shuangcheng Shangzhi Link? ou ? ? ? ? Hengshan ? 5 SEA OF 5 4 4 Yushu Wuchang OKHOTSK Dehui Mudanjiang Shulan Dalnegorsk Nongan Hailin Jiutai Jishu CHINA Kavalerovo Jilin Jiaohe Changchun RUSSIA Dunhua Uglekamensk HOKKAIDOO Panshi Huadian Tumen Partizansk Sapporo Hunchun Vladivostok Liaoyuan Chaoyang Longjing Yanji Nahodka Meihekou Helong Hunjiang Najin Badaojiang Tong Hua Hyesan Kanggye Aomori Kimchaek AOMORI ? ? 0 AKITA 0 4 DEMOCRATIC PEOPLE'S 4 REPUBLIC OF KOREA Akita Morioka IWATE SEA O F Pyongyang GULF OF KOREA JAPAN Nampo YAMAJGATAA PAN Yamagata MIYAGI Sendai Haeju Niigata Euijeongbu Chuncheon Bucheon Seoul NIIGATA Weonju Incheon Anyang ISIKAWA ChechonREPUBLIC OF HUKUSIMA Suweon KOREA TOTIGI Cheonan Chungju Toyama Cheongju Kanazawa GUNMA IBARAKI TOYAMA PACIFIC OCEAN Nagano Mito Andong Maebashi Daejeon Fukui NAGANO Kunsan Daegu Pohang HUKUI SAITAMA Taegu YAMANASI TOOKYOO YELLOW Ulsan Tottori GIFU Tokyo Matsue Gifu Kofu Chiba SEA TOTTORI Kawasaki KANAGAWA Kwangju Masan KYOOTO Yokohama Pusan SIMANE Nagoya KANAGAWA TIBA ? HYOOGO Kyoto SIGA SIZUOKA ? 5 Suncheon Chinhae 5 3 Otsu AITI 3 OKAYAMA Kobe Nara Shizuoka Yeosu HIROSIMA Okayama Tsu KAGAWA HYOOGO Hiroshima OOSAKA Osaka MIE YAMAGUTI OOSAKA Yamaguchi Takamatsu WAKAYAMA NARA JAPAN Tokushima Wakayama TOKUSIMA Matsuyama National Capital Fukuoka HUKUOKA WAKAYAMA Jeju EHIME Provincial Capital Cheju Oita Kochi SAGA KOOTI City, town EAST CHINA Saga OOITA Major Airport SEA NAGASAKI Kumamoto Roads Nagasaki KUMAMOTO Railroad Lake MIYAZAKI River, lake JAPAN KAGOSIMA Miyazaki International Boundary Provincial Boundary Kagoshima 0 12.5 25 50 75 100 Kilometers Miles 0 10 20 40 60 80 ? ? ? ? 0 5 0 5 3 3 4 4 1 1 1 1 The boundaries and names show n and t he designations us ed on this map do not imply of ficial endors ement or acceptance by the United N at ions. -
Deciphering the Spatial Structures of City Networks in the Economic Zone of the West Side of the Taiwan Strait Through the Lens of Functional and Innovation Networks
sustainability Article Deciphering the Spatial Structures of City Networks in the Economic Zone of the West Side of the Taiwan Strait through the Lens of Functional and Innovation Networks Yan Ma * and Feng Xue School of Architecture and Urban-Rural Planning, Fuzhou University, Fuzhou 350108, Fujian, China; [email protected] * Correspondence: [email protected] Received: 17 April 2019; Accepted: 21 May 2019; Published: 24 May 2019 Abstract: Globalization and the spread of information have made city networks more complex. The existing research on city network structures has usually focused on discussions of regional integration. With the development of interconnections among cities, however, the characterization of city network structures on a regional scale is limited in the ability to capture a network’s complexity. To improve this characterization, this study focused on network structures at both regional and local scales. Through the lens of function and innovation, we characterized the city network structure of the Economic Zone of the West Side of the Taiwan Strait through a social network analysis and a Fast Unfolding Community Detection algorithm. We found a significant imbalance in the innovation cooperation among cities in the region. When considering people flow, a multilevel spatial network structure had taken shape. Among cities with strong centrality, Xiamen, Fuzhou, and Whenzhou had a significant spillover effect, which meant the region was depolarizing. Quanzhou and Ganzhou had a significant siphon effect, which was unsustainable. Generally, urbanization in small and midsize cities was common. These findings provide support for government policy making. Keywords: city network; spatial organization; people flows; innovation network 1. -
309 Vol. 1 People's Republic of China
E- 309 VOL. 1 PEOPLE'SREPUBLIC OF CHINA Public Disclosure Authorized HEBEI PROVINCIAL GOVERNMENT HEBEI URBANENVIRONMENT PROJECT MANAGEMENTOFFICE HEBEI URBAN ENVIRONMENTAL PROJECT Public Disclosure Authorized ENVIRONMENTALASSESSMENT SUMMARY Public Disclosure Authorized January2000 Center for Environmental Assessment Chinese Research Academy of Environmental Sciences Beiyuan Anwai BEIJING 100012 PEOPLES' REPUBLIC OF CHINA Phone: 86-10-84915165 Email: [email protected] Public Disclosure Authorized Table of Contents I. Introduction..................................... 3 II. Project Description ..................................... 4 III. Baseline Data .................................... 4 IV. Environmental Impacts.................................... 8 V. Alternatives ................................... 16 VI. Environmental Management and Monitoring Plan ................................... 16 VII. Public Consultation .17 VIII. Conclusions.18 List of Tables Table I ConstructionScale and Investment................................................. 3 Table 2 Characteristicsof MunicipalWater Supply Components.............................................. 4 Table 3 Characteristicsof MunicipalWaste Water TreatmentComponents .............................. 4 Table 4 BaselineData ................................................. 7 Table 5 WaterResources Allocation and Other Water Users................................................. 8 Table 6 Reliabilityof Water Qualityand ProtectionMeasures ................................................ -
The Chinese Government's Response to the Pandemic: Measures
healthcare Article The Chinese Government’s Response to the Pandemic: Measures, Dynamic Changes, and Main Patterns Yuxi He 1, Maorui Li 1, Qixi Zhong 2, Qi Li 1, Ruishi Yang 1, Jing Lin 1 and Xiaojun Zhang 1,3,* 1 School of Economics and Management, Fuzhou University, Fuzhou 350108, China; [email protected] (Y.H.); [email protected] (M.L.); [email protected] (Q.L.); [email protected] (R.Y.); [email protected] (J.L.) 2 School of Public Administration and Policy, Renmin University of China, Beijing 100872, China; [email protected] 3 Fujian Emergency Management Research Center, Fuzhou University, Fuzhou 350108, China * Correspondence: [email protected] Abstract: (1) Background: The governance measures that governments deploy vary substantially across countries and even within countries; there is, however, limited knowledge of the responses of local governments or from different areas in the same country. (2) Methods: By using grounded theory and an automatic text processing method, this study analyses the pandemic governance measures, the pandemic governance pattern, and possible factors across 28 provinces in mainland China based on the text of 28 official provincial government Sina microblogs dating from 20 January to 1 July 2020. (3) Results and discussion: The provincial pandemic governance patterns in China are divided into a pathogen-control pattern, a diagnosis and treatment consolidation pattern, a balanced promotion pattern, a quick-adjustment response pattern, and a recovery-oriented pattern. The pandemic severity, economic development, public health service, and population structure may Citation: He, Y.; Li, M.; Zhong, Q.; Li, all have an impact on pandemic governance measures.