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Assessing the Training and Operational Proficiency of China's
C O R P O R A T I O N Assessing the Training and Operational Proficiency of China’s Aerospace Forces Selections from the Inaugural Conference of the China Aerospace Studies Institute (CASI) Edmund J. Burke, Astrid Stuth Cevallos, Mark R. Cozad, Timothy R. Heath For more information on this publication, visit www.rand.org/t/CF340 Library of Congress Cataloging-in-Publication Data is available for this publication. ISBN: 978-0-8330-9549-7 Published by the RAND Corporation, Santa Monica, Calif. © Copyright 2016 RAND Corporation R® is a registered trademark. Limited Print and Electronic Distribution Rights This document and trademark(s) contained herein are protected by law. This representation of RAND intellectual property is provided for noncommercial use only. Unauthorized posting of this publication online is prohibited. Permission is given to duplicate this document for personal use only, as long as it is unaltered and complete. Permission is required from RAND to reproduce, or reuse in another form, any of its research documents for commercial use. For information on reprint and linking permissions, please visit www.rand.org/pubs/permissions. The RAND Corporation is a research organization that develops solutions to public policy challenges to help make communities throughout the world safer and more secure, healthier and more prosperous. RAND is nonprofit, nonpartisan, and committed to the public interest. RAND’s publications do not necessarily reflect the opinions of its research clients and sponsors. Support RAND Make a tax-deductible charitable contribution at www.rand.org/giving/contribute www.rand.org Preface On June 22, 2015, the China Aerospace Studies Institute (CASI), in conjunction with Headquarters, Air Force, held a day-long conference in Arlington, Virginia, titled “Assessing Chinese Aerospace Training and Operational Competence.” The purpose of the conference was to share the results of nine months of research and analysis by RAND researchers and to expose their work to critical review by experts and operators knowledgeable about U.S. -
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. -
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). -
The Comparison of Different Calculation Methods of Pollution Receiving Capacity for Jilin Province Huifa River
Nature Environment and Pollution Technology ISSN: 0972-6268 Vol. 15 No. 4 pp. 1169-1176 2016 An International Quarterly Scientific Journal Original Research Paper The Comparison of Different Calculation Methods of Pollution Receiving Capacity for Jilin Province Huifa River Yao Liwei and Men Baohui† Renewable Energy Institute, North China Electric Power University, Beijing-102206, China †Corresponding author: Men Baohui ABSTRACT Nat. Env. & Poll. Tech. Website: www.neptjournal.com Huifa River is the largest tributary of the Second Songhua River. Songhua River Basin is the concentrated area of Northeast Old Industrial Base, and it is also the distribution area of major cities, bearing Received: 19-12-2015 production task of national commodity grain. In recent years, with the rapid development of economy, Accepted: 28-01-2016 the deterioration of water quality is serious and the water environment problem is becoming more and Key Words: more outstanding, which have affected the sustainable development of the economic and social of Pollution receiving capacity Jilin province, so it is necessary to analyse and study the pollution receiving capacity of the river and Water quality model control the water pollution source to protect the water environment and strengthen water resources Sewage outfall protection. Based on one-dimensional water quality model, this paper use three kinds of different Huifa river generalization methods, such as midpoint generalization, uniform generalization and sewage outfall barycenter generalization, to calculate -
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. -
Effectiveness of Interventions to Control Transmission of Reemergent Cases of COVID-19 — Jilin Province, China, 2020
China CDC Weekly Preplanned Studies Effectiveness of Interventions to Control Transmission of Reemergent Cases of COVID-19 — Jilin Province, China, 2020 Qinglong Zhao1,&; Meng Yang2,&; Yao Wang2; Laishun Yao1; Jianguo Qiao3; Zhiyong Cheng3; Hanyin Liu4; Xingchun Liu2; Yuanzhao Zhu2; Zeyu Zhao2; Jia Rui2; Tianmu Chen2,# interventions, and to provide experience for other Summary provinces or cities in China, or even for other countries What is already known about this topic? to deal with the second outbreak of COVID-19 COVID-19 has a high transmissibility calculated by outbreaks. mathematical model. The dynamics of the disease and Based on our previous study (2–5), we developed a the effectiveness of intervention to control the Susceptible-Exposed-Infectious-Asymptomatic- transmission remain unclear in Jilin Province, China. Removed (SEIAR) model to fit the data in Jilin What is added by this report? Province and to perform the assessment. In the SEIAR This is the first study to report the dynamic model, individuals were divided into five characteristics and to quantify the effectiveness of compartments: Susceptible (S), Exposed (E), Infectious interventions implemented in the second outbreak of (I), Asymptomatic (A), and Removed (R), and the COVID-19 in Jilin Province, China. The effective equations of the model were shown as follows: reproduction number of the disease before and after dS May 10 was 4.00 and p<0.01, respectively. The = −βS (I + κA) (1) combined interventions reduced the transmissibility of dt dE ¬ COVID-19 by 99% and the number of cases by = βS (I + κA) − p! E − ( − p) !E (2) dt 98.36%. -
Climate Change Impact Assessment on Maize Production in Jilin, China
Climate change impact assessment on maize production in Jilin, China Meng Wang, Wei Ye and Yinpeng Li 1 Backgrounds APN CAPaBLE project with focus on integrated system development for food security assessment Bio-physical & Economic Uncertainties: e.g. GCMs, CO2 emission scenarios Adaptation measures (cross multi-scales) 2 SimCLIM model Greenhouse gas MAGICC emission scenarios Data Global Climate Projection Scenario selections Climate and GCM pattern import Local Climate toolbox average, variability, extremes IPCC CMIP (GCMs) (present and future) USER -Synthetic changes - GCM patterns “Plug-in” Models Biophysical Impacts on: Agriculture, Coastal, - Land data Human Health, Water - Other spatial data Impact Model 3 Case Study: Jilin Province 4 Climate Scenario Baseline Climate CRU global climatology dataset, 1961-1990 (New, 2000) Climate change scenarios • Pattern scaling (Santer, 1990; Mitchell, 2003) • 20 GCMs change patterns (Covey et al., 2003) • 6 SRES emission scenarios (IPCC, 2000) 5 DSSAT model – to simulate maize growth CERES-Maize model (Jones, 1986) • Site-based, daily time step • Input – weather, soil, cultivating strategies, cultivar parameters • Output – yield, phenological parameters (e.g. growing season, growing phase date), etc. 6 DSSAT – weather generator SIMMETEO (Geng & Auburn, 1986) • Input – monthly Tmax, Tmin, Rs, Prec. • Random seed sensitive 9.5 Ensemble 1 (b) 8.5 Ensemble 2 ) Ensemble 3 -1 7.5 Ensemble 4 6.5 Yield (t ha Yield (t 5.5 4.5 3.5 0 20 40 60 80 100 120 Random seed So, the average result of 100-seed -
Daily Life for the Common People of China, 1850 to 1950
Daily Life for the Common People of China, 1850 to 1950 Ronald Suleski - 978-90-04-36103-4 Downloaded from Brill.com04/05/2019 09:12:12AM via free access China Studies published for the institute for chinese studies, university of oxford Edited by Micah Muscolino (University of Oxford) volume 39 The titles published in this series are listed at brill.com/chs Ronald Suleski - 978-90-04-36103-4 Downloaded from Brill.com04/05/2019 09:12:12AM via free access Ronald Suleski - 978-90-04-36103-4 Downloaded from Brill.com04/05/2019 09:12:12AM via free access Ronald Suleski - 978-90-04-36103-4 Downloaded from Brill.com04/05/2019 09:12:12AM via free access Daily Life for the Common People of China, 1850 to 1950 Understanding Chaoben Culture By Ronald Suleski leiden | boston Ronald Suleski - 978-90-04-36103-4 Downloaded from Brill.com04/05/2019 09:12:12AM via free access This is an open access title distributed under the terms of the prevailing cc-by-nc License at the time of publication, which permits any non-commercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited. An electronic version of this book is freely available, thanks to the support of libraries working with Knowledge Unlatched. More information about the initiative can be found at www.knowledgeunlatched.org. Cover Image: Chaoben Covers. Photo by author. Library of Congress Cataloging-in-Publication Data Names: Suleski, Ronald Stanley, author. Title: Daily life for the common people of China, 1850 to 1950 : understanding Chaoben culture / By Ronald Suleski. -
Global Map of Irrigation Areas CHINA
Global Map of Irrigation Areas CHINA Area equipped for irrigation (ha) Area actually irrigated Province total with groundwater with surface water (ha) Anhui 3 369 860 337 346 3 032 514 2 309 259 Beijing 367 870 204 428 163 442 352 387 Chongqing 618 090 30 618 060 432 520 Fujian 1 005 000 16 021 988 979 938 174 Gansu 1 355 480 180 090 1 175 390 1 153 139 Guangdong 2 230 740 28 106 2 202 634 2 042 344 Guangxi 1 532 220 13 156 1 519 064 1 208 323 Guizhou 711 920 2 009 709 911 515 049 Hainan 250 600 2 349 248 251 189 232 Hebei 4 885 720 4 143 367 742 353 4 475 046 Heilongjiang 2 400 060 1 599 131 800 929 2 003 129 Henan 4 941 210 3 422 622 1 518 588 3 862 567 Hong Kong 2 000 0 2 000 800 Hubei 2 457 630 51 049 2 406 581 2 082 525 Hunan 2 761 660 0 2 761 660 2 598 439 Inner Mongolia 3 332 520 2 150 064 1 182 456 2 842 223 Jiangsu 4 020 100 119 982 3 900 118 3 487 628 Jiangxi 1 883 720 14 688 1 869 032 1 818 684 Jilin 1 636 370 751 990 884 380 1 066 337 Liaoning 1 715 390 783 750 931 640 1 385 872 Ningxia 497 220 33 538 463 682 497 220 Qinghai 371 170 5 212 365 958 301 560 Shaanxi 1 443 620 488 895 954 725 1 211 648 Shandong 5 360 090 2 581 448 2 778 642 4 485 538 Shanghai 308 340 0 308 340 308 340 Shanxi 1 283 460 611 084 672 376 1 017 422 Sichuan 2 607 420 13 291 2 594 129 2 140 680 Tianjin 393 010 134 743 258 267 321 932 Tibet 306 980 7 055 299 925 289 908 Xinjiang 4 776 980 924 366 3 852 614 4 629 141 Yunnan 1 561 190 11 635 1 549 555 1 328 186 Zhejiang 1 512 300 27 297 1 485 003 1 463 653 China total 61 899 940 18 658 742 43 241 198 52