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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. -
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. -
Water Quality Attribution and Simulation of Non-Point Source Pollution Load Fux in the Hulan River Basin Yan Liu1,2, Hongyan Li1,2*, Geng Cui3 & Yuqing Cao1,2
www.nature.com/scientificreports OPEN Water quality attribution and simulation of non-point source pollution load fux in the Hulan River basin Yan Liu1,2, Hongyan Li1,2*, Geng Cui3 & Yuqing Cao1,2 Surface water is the main source of irrigation and drinking water for rural communities by the Hulan River basin, an important grain-producing region in northeastern China. Understanding the spatial and temporal distribution of water quality and its driving forces is critical for sustainable development and the protection of water resources in the basin. Following sample collection and testing, the spatial distribution and driving forces of water quality were investigated using cluster analysis, hydrochemical feature partitioning, and Gibbs diagrams. The results demonstrated that the surface waters of the Hulan River Basin tend to be medium–weakly alkaline with a low degree of mineralization and water-rock interaction. Changes in topography and land use, confuence, application of pesticides and fertilizers, and the development of tourism were found to be important driving forces afecting the water quality of the basin. Non-point source pollution load fuxes of nitrogen (N) and phosphorus (P) were simulated using the Soil Water and Assessment Tool. The simulation demonstrated that the non-point source pollution loading is low upstream and increases downstream. The distributions of N and P loading varied throughout the basin. The fndings of this study provide information regarding the spatial distribution of water quality in the region and present a scientifc basis for future pollution control. Rivers are an important component of the global water cycle, connecting the two major ecosystems of land and sea and providing a critical link in the biogeochemical cycle. -
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. -
Federal Register/Vol. 83, No. 248/Friday, December 28, 2018
Federal Register / Vol. 83, No. 248 / Friday, December 28, 2018 / Notices 67229 DEPARTMENT OF COMMERCE complete description of the scope of this Dunhau City Jisen, Fusong Jinqui, administrative review, see the Huzhou Jesonwood, and Shanghaifloor. International Trade Administration 4 Preliminary Decision Memorandum. Intent To Rescind Administrative [C–570–971] Rescission of Administrative Review, in Review, in Part Multilayered Wood Flooring From the Part We received timely filed no-shipment People’s Republic of China: certifications from eight companies.8 Pursuant to 19 CFR 351.213(d)(1), the Commerce issued no-shipment inquiries Preliminary Results of Countervailing Secretary will rescind an administrative Duty Administrative Review, to U.S. Customs and Border Protection review, in whole or in part, if the parties (CBP) requesting any information that Rescission of Review, in Part, and that requested a review withdraw the Intent To Rescind Review, in Part; 2016 may contradict the no-shipment claims. request within 90 days of the date of We have not received information from AGENCY: Enforcement and Compliance, publication of the notice of initiation of CBP to date that contradicts Anhui Boya International Trade Administration, the requested review. This review was Bamboo & Wood Products Co., Ltd.’s, Department of Commerce. initiated on February 23, 2018. On Chinafloors Timber (China) Co., Ltd.’s, SUMMARY: The Department of Commerce March 14, 2018, Huzhou Jesonwood Jiangsu Keri Wood Co., Ltd.’s, Jiashan (Commerce) preliminarily determines submitted a withdrawal request within On-Line Lumber Co., Ltd.’s, Kingman that countervailable subsidies are being the 90-day deadline.5 On May 7, 2018, Floors Co., Ltd.’s, Linyi Bonn Flooring provided to producers and exporters of Dalian Penghong and 15 other Manufacturing Co., Ltd.’s, and Zhejiang multilayered wood flooring (wood companies submitted withdrawal Shiyou Timber Co., Ltd.’s claims of no flooring) from the People’s Republic of requests.6 The petitioner filed sales, shipments or entries of subject China (PRC). -
Long-Term Evolution of the Chinese Port System (221BC-2010AD) Chengjin Wang, César Ducruet
Regional resilience and spatial cycles: Long-term evolution of the Chinese port system (221BC-2010AD) Chengjin Wang, César Ducruet To cite this version: Chengjin Wang, César Ducruet. Regional resilience and spatial cycles: Long-term evolution of the Chinese port system (221BC-2010AD). Tijdschrift voor economische en sociale geografie, Wiley, 2013, 104 (5), pp.521-538. 10.1111/tesg.12033. halshs-00831906 HAL Id: halshs-00831906 https://halshs.archives-ouvertes.fr/halshs-00831906 Submitted on 28 Sep 2014 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Regional resilience and spatial cycles: long-term evolution of the Chinese port system (221 BC - 2010 AD) Chengjin WANG Key Laboratory of Regional Sustainable Development Modeling Institute of Geographical Sciences and Natural Resources Research (IGSNRR) Chinese Academy of Sciences (CAS) Beijing 100101, China [email protected] César DUCRUET1 French National Centre for Scientific Research (CNRS) UMR 8504 Géographie-cités F-75006 Paris, France [email protected] Pre-final version of the paper published in Tijdschrift voor Economische en Sociale Geografie, Vol. 104, No. 5, pp. 521-538. Abstract Spatial models of port system evolution often depict linearly the emergence of hierarchy through successive concentration phases of originally scattered ports. -
대외경제정책연구원-2014 KIEP Visiting Fellows Program.Hwp
2014 2014 KIEP KIEP Visiting Fellows Program KIEP Fellows Visiting Visiting Fellows Program Edited by JEONG Hyung-Gon Edited by JEONG Hyung-Gon 370 Sicheong-daero, Sejong-Si 339-705, Korea Tel: (8244) 414-1042 / Fax: (8244) 414-1043 URL: http://www.kiep.go.kr 2014 KIEP Visiting Fellows Program Edited by JEONG Hyung-Gon The Contents of the KIEP Visiting Fellow Program do not reflect or represent the official opinion of KIEP. The KIEP Visiting Fellows Program is published with the aim of promoting discussions among researchers, and to remember the outstanding achievements by the visiting fellows who came to KIEP. KOREA INSTITUTE FOR INTERNATIONAL ECONOMIC POLICY (KIEP) 370 Sicheong-daero, Sejong-Si 339-705, Korea Tel: (8244) 414-1042 Fax: (8244) 414-1043 URL: http://www.kiep.go.kr LEE Il Houng, President Published 2015 in Korea by KIEP ⓒ 2015 KIEP Acknowledgements In 2009, Korea Institute for International Economic Policy (KIEP) launched "Visiting Fellows Program (VFP)" with the view of advancing cross-border exchanges of knowledge, information, insights and expertise. Since its inception, the VFP has demonstrated that sharing thoughts and ideas through face-to-face contacts and dialogue works as a catalyst for enhancing mutual understanding among scholars and professionals with diverse background. By successfully implementing the VFP for the past 7 years, KIEP has been motivated to assume the role as a hub for international economic research in the region. As a host of the program, KIEP has many mandates. One of those tasks is to let more people know what has been accomplished through the program and how valuable it is. -
The Human Threat to River Ecosystems at the Watershed Scale: an Ecological Security Assessment of the Songhua River Basin, Northeast China
water Article The Human Threat to River Ecosystems at the Watershed Scale: An Ecological Security Assessment of the Songhua River Basin, Northeast China Yuan Shen 1,2, Huiming Cao 1, Mingfang Tang 1 and Hongbing Deng 1,* 1 State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; [email protected] (Y.S.); [email protected] (H.C.); [email protected] (M.T.) 2 University of Chinese Academy of Sciences, Beijing 100049, China * Correspondence: [email protected]; Tel.: +86-10-6284-9112 Academic Editor: Sharon B. Megdal Received: 6 December 2016; Accepted: 13 March 2017; Published: 16 March 2017 Abstract: Human disturbances impact river basins by reducing the quality of, and services provided by, aquatic ecosystems. Conducting quantitative assessments of ecological security at the watershed scale is important for enhancing the water quality of river basins and promoting environmental management. In this study, China’s Songhua River Basin was divided into 204 assessment units by combining watershed and administrative boundaries. Ten human threat factors were identified based on their significant influence on the river ecosystem. A modified ecological threat index was used to synthetically evaluate the ecological security, where frequency was weighted by flow length from the grids to the main rivers, while severity was weighted by the potential hazard of the factors on variables of river ecosystem integrity. The results showed that individual factors related to urbanization, agricultural development and facility construction presented different spatial distribution characteristics. At the center of the plain area, the provincial capital cities posed the highest level of threat, as did the municipal districts of prefecture-level cities. -
Best-Performing Cities: China 2018
Best-Performing Cities CHINA 2018 THE NATION’S MOST SUCCESSFUL ECONOMIES Michael C.Y. Lin and Perry Wong MILKEN INSTITUTE | BEST-PERFORMING CITIES CHINA 2018 | 1 Acknowledgments The authors are grateful to Laura Deal Lacey, executive director of the Milken Institute Asia Center, Belinda Chng, the center’s director for policy and programs, and Ann-Marie Eu, the Institute’s senior associate for communications, for their support in developing this edition of our Best- Performing Cities series focused on China. We thank the communications team for their support in publication as well as Kevin Klowden, the executive director of the Institute’s Center for Regional Economics, Minoli Ratnatunga, director of regional economic research at the Institute, and our colleagues Jessica Jackson and Joe Lee for their constructive comments on our research. About the Milken Institute We are a nonprofit, nonpartisan think tank determined to increase global prosperity by advancing collaborative solutions that widen access to capital, create jobs, and improve health. We do this through independent, data-driven research, action-oriented meetings, and meaningful policy initiatives. About the Asia Center The Milken Institute Asia Center promotes the growth of inclusive and sustainable financial markets in Asia by addressing the region’s defining forces, developing collaborative solutions, and identifying strategic opportunities for the deployment of public, private, and philanthropic capital. Our research analyzes the demographic trends, trade relationships, and capital flows that will define the region’s future. About the Center for Regional Economics The Center for Regional Economics promotes prosperity and sustainable growth by increasing understanding of the dynamics that drive job creation and promote industry expansion. -
Expressways, GDP, and the Environment: the Case of China
Expressways, GDP, and the Environment: The Case of China Guojun He Hong Kong University of Science and Technology [email protected] Yang Xie University of California, Riverside [email protected] Bing Zhang Nanjing University [email protected] We are indebted to the Editor in Chief, Andrew Foster, and the anonymous referee for their valuable suggestions. We thank Hunt Allcott, Michael Anderson, Richard Arnott, Chong-En Bai, Michael Bates, David Brady, Nathaniel Baum-Snow, Cyndi Berck, Peter Berck, Judd Boomhower, David Brady, Jimmy Chan, Gordon Dahl, Anil Deolalikar, Alain de Janvry, Ozkan Eren, Thibault Fally, Jingting Fan, Fred Finan, Shihe Fu, Joshua Graff Zivin, Michael Greenstone, Jie He, Steven Helfand, Sarojini Hirshleifer, Wei Huang, Ruixue Jia, Larry Karp, Bree Lang, Matt Lang, Bryan Leonard, Weijia Li, Jeremy Magruder, Aprajit Mahajan, John Matsusaka, Daniel McMillen, Helene Ollivier, Albert Park, Martino Pelli, Jeffrey Perloff, Obie Porteous, Han Qi, David Rapson, Elisabeth Sadoulet, Ruoyao Shi, Leo Simon, Michael Song, Kenneth Small, Qu Tang, Itai Trilnick, Reed Walker, Shaoda Wang, Brian Wright, Yanhui Wu, Yiqing Xu, Jia Yan, and participants in seminars and workshops at CU Boulder, CUHK, Fudan University, HKBU, HKUST, Peking University, Shanghai Jiao Tong University, Singapore Management University, Tsinghua University, UC Berkeley, UC Riverside, Université de Sherbrooke, and USC and the 2017 AERE Summer Conference, CAERE Annual Conference, CES Annual Conference, EAERE Annual Conference, Econometric Society Asian Meeting, and Fudan–UC Social Science and China Studies Young Scholar Conference for their valuable comments. Yuhang Pan, Xiaoxiao Shen, Chun Wai Cheung, Ziteng Lei, Tingjun Man, and Jing Yang offered excellent research assistance. -
Table of Codes for Each Court of Each Level
Table of Codes for Each Court of Each Level Corresponding Type Chinese Court Region Court Name Administrative Name Code Code Area Supreme People’s Court 最高人民法院 最高法 Higher People's Court of 北京市高级人民 Beijing 京 110000 1 Beijing Municipality 法院 Municipality No. 1 Intermediate People's 北京市第一中级 京 01 2 Court of Beijing Municipality 人民法院 Shijingshan Shijingshan District People’s 北京市石景山区 京 0107 110107 District of Beijing 1 Court of Beijing Municipality 人民法院 Municipality Haidian District of Haidian District People’s 北京市海淀区人 京 0108 110108 Beijing 1 Court of Beijing Municipality 民法院 Municipality Mentougou Mentougou District People’s 北京市门头沟区 京 0109 110109 District of Beijing 1 Court of Beijing Municipality 人民法院 Municipality Changping Changping District People’s 北京市昌平区人 京 0114 110114 District of Beijing 1 Court of Beijing Municipality 民法院 Municipality Yanqing County People’s 延庆县人民法院 京 0229 110229 Yanqing County 1 Court No. 2 Intermediate People's 北京市第二中级 京 02 2 Court of Beijing Municipality 人民法院 Dongcheng Dongcheng District People’s 北京市东城区人 京 0101 110101 District of Beijing 1 Court of Beijing Municipality 民法院 Municipality Xicheng District Xicheng District People’s 北京市西城区人 京 0102 110102 of Beijing 1 Court of Beijing Municipality 民法院 Municipality Fengtai District of Fengtai District People’s 北京市丰台区人 京 0106 110106 Beijing 1 Court of Beijing Municipality 民法院 Municipality 1 Fangshan District Fangshan District People’s 北京市房山区人 京 0111 110111 of Beijing 1 Court of Beijing Municipality 民法院 Municipality Daxing District of Daxing District People’s 北京市大兴区人 京 0115 -
Characteristics of Spatial Connection Based on Intercity Passenger Traffic Flow in Harbin- Changchun Urban Agglomeration, China Research Paper
Guo, R.; Wu, T.; Wu, X.C. Characteristics of Spatial Connection Based on Intercity Passenger Traffic Flow in Harbin- Changchun Urban Agglomeration, China Research Paper Characteristics of Spatial Connection Based on Intercity Passenger Traffic Flow in Harbin-Changchun Urban Agglomeration, China Rong Guo, School of Architecture,Harbin Institute of Technology,Key Laboratory of Cold Region Urban and Rural Human Settlement Environment Science and Technology,Ministry of Industry and Information Technology,Harbin 150006,China Tong Wu, School of Architecture,Harbin Institute of Technology,Key Laboratory of Cold Region Urban and Rural Human Settlement Environment Science and Technology,Ministry of Industry and Information Technology,Harbin 150006,China Xiaochen Wu, School of Architecture,Harbin Institute of Technology,Key Laboratory of Cold Region Urban and Rural Human Settlement Environment Science and Technology,Ministry of Industry and Information Technology,Harbin 150006,China Abstract With the continuous improvement of transportation facilities and information networks, the obstruction of distance in geographic space has gradually weakened, and the hotspots of urban geography research have gradually changed from the previous city hierarchy to the characteristics of urban connections and networks. As the main carrier and manifestation of elements, mobility such as people and material, traffic flow is of great significance for understanding the characteristics of spatial connection. In this paper, Harbin-Changchun agglomeration proposed by China's New Urbanization Plan (2014-2020) is taken as a research object. With the data of intercity passenger traffic flow including highway and railway passenger trips between 73 county-level spatial units in the research area, a traffic flow model is constructed to measure the intensity of spatial connection.