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Advances in Economics, Business and Management Research, volume 70 International Conference on Economy, Management and Entrepreneurship(ICOEME 2018) Research on the Path of Deep Fusion and Integration Development of Wuhan and Ezhou Lijiang Zhao Chengxiu Teng School of Public Administration School of Public Administration Zhongnan University of Economics and Law Zhongnan University of Economics and Law Wuhan, China 430073 Wuhan, China 430073 Abstract—The integration development of Wuhan and urban integration of Wuhan and Hubei, rely on and Ezhou is a strategic task in Hubei Province. It is of great undertake Wuhan. Ezhou City takes the initiative to revise significance to enhance the primacy of provincial capital, form the overall urban and rural plan. Ezhou’s transportation a new pattern of productivity allocation, drive the development infrastructure is connected to the traffic artery of Wuhan in of provincial economy and upgrade the competitiveness of an all-around and three-dimensional way. At present, there provincial-level administrative regions. This paper discusses are 3 interconnected expressways including Shanghai- the path of deep integration development of Wuhan and Ezhou Chengdu expressway, Wuhan-Ezhou expressway and from the aspects of history, geography, politics and economy, Wugang expressway. In terms of market access, Wuhan East and puts forward some suggestions on relevant management Lake Development Zone and Ezhou Gedian Development principles and policies. Zone try out market access cooperation, and enterprises Keywords—urban regional cooperation; integration registered in Ezhou can be named with “Wuhan”. development; path III. THE SPACE FOR IMPROVEMENT IN THE INTEGRATION I. INTRODUCTION DEVELOPMENT OF WUHAN AND EZHOU Exploring the path of leapfrog development in inland The degree of integration development of Wuhan and areas is a common issue for the vast areas (that is to say, 500 Ezhou is lower than that of central urban area of Wuhan, and kilometers from the coastline) of China’s hinterland. -
46050-002: Hubei Huanggang Urban Environment Improvement Project
Environmental Impact Assessment (2nd Addendum) September 2018 PRC: Hubei Huanggang Urban Environment Improvement Project Prepared by Huanggang Municipal Government for the Asian Development Bank. {This is a revised version of the draft originally posted in January 2014 available on https://www.adb.org/projects/documents/hubei-huanggang-integrated-urban-environment- improvement-project-eia.} CURRENCY EQUIVALENTS (as of 31 August 2018) Currency unit – yuan (CNY) CNY1.00 = $0.14602 $1.00 = CNY6.84 In this report, $ refers to US dollars. ABBREVIATIONS ADB Asian Development Bank CN Cyanide CNY Chinese yuan EA Executing agency EHS Environmental Health System EIA Environmental impact assessment EIR Environmental impact report EIT Environmental impact table EMP Environmental management plan EMS Environmental monitoring station FSR Feasibility study report HEPB Huanggang Environmental Protection Bureau HMG Huanggang Municipal Government LIEC Loan implementation environmental consultant NO2 Nitrogen dioxide PMO Project management office SO2 Sulfur dioxide TN Total Nitrogen TP Total Phosphorus WWTP Wastewater treatment plant WEIGHTS AND MEASURES ha hectare hr hour kg/d kilogram per day km kilometer km2 square kilometer km/hr kilometer per hour L liter m meter m/s meter per second m2 square meter m3 cubic meter m3/d cubic meter per day cubic meter per m3/s second mg/kg milligram per kilogram mg/L milligram per liter NOTE In the report, ―$ refers to US dollars. This addendum to the environmental impact assessment is a document of the borrower. The views expressed herein do not necessarily represent those of ADB's Board of Directors, Management, or staff, and may be preliminary in nature. Your attention is directed to the “terms of use” section on ADB’s website. -
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 -
46050-002: Hubei Huanggang Urban Environment Improvement Project
Environmental Monitoring Report #5 Semiannual Report December 2018 PRC: Hubei Huanggang Urban Environment Improvement Project Prepared by NAREE International Limited for the People's Republic of China and the Asian Development Bank. Environmental Monitoring Report Project No.: 46050 December 2018 Hubei Huanggang Urban Environment Improvement Project SEMI-ANNUAL ENVIRONMENTAL MONITORING REPORT (Covering July – Dec 2018) Prepared for: Huanggang Municipal Government and the Asian Development Bank Prepared by: NAREE International Limited This environmental monitoring report is a document of the borrower. The views expressed herein do not necessarily represent those of ADB's Board of Directors, Management, or staff, and may be preliminary in nature. In preparing any country program or strategy, financing any project, or by making any designation of or reference to a particular territory or geographic area in this document, the Asian Development Bank does not intend to make any judgments as to the legal or other status of any territory or area. Asian Development Bank ADB LOAN HUBEI HUANGGANG URBAN ENVIRONMENT IMPROVEMENT PROJECT THE FIFTH SEMI-ANNUAL ENVIRONMENTAL MONITORING REPORT, DATED DEC 2018 ACRONYMS AND ABBREVIATIONS ADB Asian Development Bank IA Implementing agency BOD5 5-day biochemical oxygen demand LAeq Equivalent continuous A-weighted sound pressure level, in decibels CNY Chinese Yuan, Renminbi Leq Equivalent continuous sound pressure level, in decibels CODcr Chemical oxygen demand LIEC Loan implementation environment consultant -
Are China's Water Resources for Agriculture Sustainable? Evidence from Hubei Province
sustainability Article Are China’s Water Resources for Agriculture Sustainable? Evidence from Hubei Province Hao Jin and Shuai Huang * School of Public Economics and Administration, Shanghai University of Finance and Economics, Shanghai 200433, China; [email protected] * Correspondence: [email protected]; Tel.: +86-21-65903686 Abstract: We assessed the sustainability of agricultural water resources in Hubei Province, a typical agricultural province in central China, for a decade (2008–2018). Since traditional evaluation models often consider only the distance between the evaluation point and the positive or negative ideal solution, we introduce gray correlation analysis and construct a new sustainability evaluation model. Our research results show that only one city had excellent sustainable development capacity of agricultural water resources, and the evaluation value of eight cities fluctuated by around 0.5 (the median of the evaluation result), while the sustainable development capacity of agricultural water resources in other cities was relatively poor. Our findings not only reflect the differences in the natural conditions of water resources among various cities in Hubei, but also the impact of the cities’ policies to ensure efficient agricultural water use for sustainable development. The indicators and methods Citation: Jin, H.; Huang, S. Are in this research are not difficult to obtain in most countries and regions of the world. Therefore, the China’s Water Resources for indicator system we have established by this research could be used to study the sustainability of Agriculture Sustainable? Evidence agricultural water resources in other countries, regions, or cities. from Hubei Province. Sustainability 2021, 13, 3510. https://doi.org/ Keywords: water resources; agricultural water resources; sustainability; gray correlation analysis; 10.3390/su13063510 evaluation model Academic Editors: Daniela Malcangio, Alan Cuthbertson, Juan 1. -
Results Announcement for the Year Ended December 31, 2020
(GDR under the symbol "HTSC") RESULTS ANNOUNCEMENT FOR THE YEAR ENDED DECEMBER 31, 2020 The Board of Huatai Securities Co., Ltd. (the "Company") hereby announces the audited results of the Company and its subsidiaries for the year ended December 31, 2020. This announcement contains the full text of the annual results announcement of the Company for 2020. PUBLICATION OF THE ANNUAL RESULTS ANNOUNCEMENT AND THE ANNUAL REPORT This results announcement of the Company will be available on the website of London Stock Exchange (www.londonstockexchange.com), the website of National Storage Mechanism (data.fca.org.uk/#/nsm/nationalstoragemechanism), and the website of the Company (www.htsc.com.cn), respectively. The annual report of the Company for 2020 will be available on the website of London Stock Exchange (www.londonstockexchange.com), the website of the National Storage Mechanism (data.fca.org.uk/#/nsm/nationalstoragemechanism) and the website of the Company in due course on or before April 30, 2021. DEFINITIONS Unless the context otherwise requires, capitalized terms used in this announcement shall have the same meanings as those defined in the section headed “Definitions” in the annual report of the Company for 2020 as set out in this announcement. By order of the Board Zhang Hui Joint Company Secretary Jiangsu, the PRC, March 23, 2021 CONTENTS Important Notice ........................................................... 3 Definitions ............................................................... 6 CEO’s Letter .............................................................. 11 Company Profile ........................................................... 15 Summary of the Company’s Business ........................................... 27 Management Discussion and Analysis and Report of the Board ....................... 40 Major Events.............................................................. 112 Changes in Ordinary Shares and Shareholders .................................... 149 Directors, Supervisors, Senior Management and Staff.............................. -
Supplementary Data
Supplementary data Figures Figure S1 Figure S1 Top cities with the highest migrants before Spring Festival A-C, Top cities with highest migrant on Jan 22, 2020. D-F, Top cities with highest migrant on Jan 23, 2020. G-I, Top cities with highest migrant on Jan 24, 2020. A, D, G, Top 50 hot cities with high export migrants; B, E, H, Top 10 cities with high export migrant; C, F, I, Top 10 cities with high import migrants. Figure S2 Figure S2 Migration and transport index during spring festival A, Emigration from Wuhan City on Jan 23, 2020; B, Emigration from Hubei province on Jan 23, 2020; C, Traffic congestion index during 7-day festival holiday in 2020 and 2019; D, Population mobility index during 7-day festival holiday in 2020 and 2019. Tables Table S1 Hot spot value and relative risk with case number and incidence Case Number Incidence City Name Hot value Relative Risk Hot value Relative Risk Trend Huanggang 0.7201 0.133 0.4678 0.485 Ezhou City 0.5833 0.346 0.4714 0.5067 Suizhou 0.4106 0.8371 0.4739 0.4732 Wuhan 0.7822 1.77E-04 0.4766 0.4987 Yellowstone 0.6053 0.4126 0.4822 0.4702 Xiangyang 0.3047 0.8646 0.4933 0.5275 Xiaogan 0.6284 0.536 0.4941 0.4689 Xianning 0.5739 0.5933 0.4946 0.484 Tianmen 0.4501 0.5174 0.5035 0.4792 Qianjiang 0.3958 0.4191 0.504 0.4736 Shiyan 0.3538 0.8206 0.5064 0.5596 Jingzhou 0.5947 0.2856 0.5101 0.4826 Xiantao 0.5631 0.1536 0.5115 0.4868 Jingmen 0.4774 0.7351 0.5278 0.501 Yichang 0.3634 0.7426 0.5324 0.5537 Enshi 0.369 0.7142 0.5378 0.5239 Table S2 Migration index of Wuhan city and Hubei province in 2020 and -
COVID-19 and China: a Chronology of Events (December 2019-January 2020)
COVID-19 and China: A Chronology of Events (December 2019-January 2020) Updated May 13, 2020 Congressional Research Service https://crsreports.congress.gov R46354 SUMMARY R46354 COVID-19 and China: A Chronology of Events May 13, 2020 (December 2019-January 2020) Susan V. Lawrence In Congress, multiple bills and resolutions have been introduced related to China’s Specialist in Asian Affairs handling of a novel coronavirus outbreak in Wuhan, China, that expanded to become the coronavirus disease 2019 (COVID-19) global pandemic. This report provides a timeline of key developments in the early weeks of the pandemic, based on available public reporting. It also considers issues raised by the timeline, including the timeliness of China’s information sharing with the World Health Organization (WHO), gaps in early information China shared with the world, and episodes in which Chinese authorities sought to discipline those who publicly shared information about aspects of the epidemic. Prior to January 20, 2020—the day Chinese authorities acknowledged person-to-person transmission of the novel coronavirus—the public record provides little indication that China’s top leaders saw containment of the epidemic as a high priority. Thereafter, however, Chinese authorities appear to have taken aggressive measures to contain the virus. The Appendix includes a concise version of the timeline. A condensed version is below: Late December: Hospitals in Wuhan, China, identify cases of pneumonia of unknown origin. December 30: The Wuhan Municipal Health Commission issues “urgent notices” to city hospitals about cases of atypical pneumonia linked to the city’s Huanan Seafood Wholesale Market. The notices leak online. -
Modelling the Effects of Wuhan's Lockdown During COVID-19, China
Research Modelling the effects of Wuhan’s lockdown during COVID-19, China Zheming Yuan,a Yi Xiao,a Zhijun Dai,a Jianjun Huang,a Zhenhai Zhangb & Yuan Chenb Objective To design a simple model to assess the effectiveness of measures to prevent the spread of coronavirus disease 2019 (COVID-19) to different regions of mainland China. Methods We extracted data on population movements from an internet company data set and the numbers of confirmed cases of COVID-19 from government sources. On 23 January 2020 all travel in and out of the city of Wuhan was prohibited to control the spread of the disease. We modelled two key factors affecting the cumulative number of COVID-19 cases in regions outside Wuhan by 1 March 2020: (i) the total the number of people leaving Wuhan during 20–26 January 2020; and (ii) the number of seed cases from Wuhan before 19 January 2020, represented by the cumulative number of confirmed cases on 29 January 2020. We constructed a regression model to predict the cumulative number of cases in non-Wuhan regions in three assumed epidemic control scenarios. Findings Delaying the start date of control measures by only 3 days would have increased the estimated 30 699 confirmed cases of COVID-19 by 1 March 2020 in regions outside Wuhan by 34.6% (to 41 330 people). Advancing controls by 3 days would reduce infections by 30.8% (to 21 235 people) with basic control measures or 48.6% (to 15 796 people) with strict control measures. Based on standard residual values from the model, we were able to rank regions which were most effective in controlling the epidemic. -
Classics of Tea Sequel to the Tea Sutra Part II GLOBAL EA HUT Contentsissue 104 / September 2020 Tea & Tao Magazine Heavenly天樞 Turn
GLOBAL EA HUT Tea & Tao Magazine 國際茶亭 September 2020 Classics of Tea Sequel to the Tea Sutra Part II GLOBAL EA HUT ContentsIssue 104 / September 2020 Tea & Tao Magazine Heavenly天樞 Turn This month, we return once again to our ongo- ing efforts to translate and annotate the Classics of Tea. This is the second part of the monumental Love is Sequel to the Tea Sutra by Lu Tingcan. This volu- minous work will require three issues to finish. As changing the world oolong was born at that time, we will sip a tradi- tional, charcoal-roasted oolong while we study. bowl by bowl Features特稿文章 49 07 Wind in the Pines The Music & Metaphor of Tea By Steven D. Owyoung 15 Sequel to the Tea Sutra 17 Volume Four 03 Teaware 27 Volume Five Tea Brewing 49 Volume Six 27 Tea Drinking Traditions傳統文章 17 03 Tea of the Month “Heavenly Turn,” Traditional Oolong, Nantou, Taiwan 65 Voices from the Hut “Ascertaining Serenity” By Anesce Dremen (許夢安) 69 TeaWayfarer © 2020 by Global Tea Hut Anesce Dremen, USA All rights reserved. recycled & recyclable No part of this publication may be reproduced, stored in a retrieval sys- 從 tem or transmitted in any form or by 地 any means: electronic, mechanical, 球 天 photocopying, recording, or other- 升 起 wise, without prior written permis- 樞 Soy ink sion from the copyright owner. n September,From the weather is perfect in Taiwan.the grieve well. Theseeditor are a powerful recipe for transformation. We start heading outdoors for some sessions when Suffering then becomes medicine, mistakes become lessons we can. -
46050-002: Hubei Huanggang Urban Environment Improvement Project
Social Monitoring Report #7 Semiannual Report January 2020 People's Republic of China: Hubei Huanggang Urban Environment Improvement Project Prepared by National Research Center for Resettlement, Hohai University for the People's Republic of China and the Asian Development Bank. CURRENCY EQUIVALENTS (as of 15 December 2019) Currency unit – yuan (CNY)} CNY1.00 = $0.1447 $1.00 = CNY6.9109 ABBREVIATIONS ADB – Asian Development Bank AH – affected household AP – affected person FGD – focus group discussion GAP – gender action plan HD – house demolition HMG – Huanggang Municipal Government HPMO – Huanggang Project Management Office HUCIC – Huanggang Urban Construction Investment Co. Ltd. IA – implementing agency LA – land acquisition M&E – monitoring and evaluation NED – New Eastern District NRCR – National Research Center for Resettlement PIC – project implementation consulting PPMS – project performance management system RP – resettlement plan SAP – social action plan WEIGHTS AND MEASURES 1 hectare – 15 mu NOTE In this report, "$" refers to US dollars. This social monitoring report is a document of the borrower. The views expressed herein do not necessarily represent those of ADB's Board of Directors, Management, or staff, and may be preliminary in nature. In preparing any country program or strategy, financing any project, or by making any designation of or reference to a particular territory or geographic area in this document, the Asian Development Bank does not intend to make any judgments as to the legal or other status of any territory -
Built Environment and Early Infection of COVID-19 in Urban Districts: a Case Study of Huangzhou
Sustainable Cities and Society 66 (2021) 102685 Contents lists available at ScienceDirect Sustainable Cities and Society journal homepage: www.elsevier.com/locate/scs Built environment and early infection of COVID-19 in urban districts: A case study of Huangzhou Bo Li a,1, You Peng b,1, He He a, Mingshu Wang c,*, Tao Feng b a School of Architecture and Art, Central South University, 410083, Changsha, China b Urban Planning and Transportation Group, Department of the Built Environment, Eindhoven University of Technology, PO Box 513, 5600 MB, Eindhoven, the Netherlands c Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, PO Box 217, 7500 AE Enschede, the Netherlands ARTICLE INFO ABSTRACT Keywords: Since COVID-19 spread rapidly worldwide, many countries have experienced significantgrowth in the number of Built environment confirmed cases and deaths. Earlier studies have examined various factors that may contribute to the contagion COVID-19 rate of COVID-19, such as air pollution, smoking, humidity, and temperature. As there is a lack of studies at the GIS neighborhood-level detailing the spatial settings of built environment attributes, this study explored the varia DBSCAN tions in the size of the COVID-19 confirmed case clusters across the urban district Huangzhou in the city of SEM Commercial prosperity Huanggang. Clusters of infectious cases in the initial outbreak of COVID-19 were identified geographically Medical service through GIS methods. The hypothetic relationships between built environment attributes and clusters of COVID- Transportation infrastructure 19 cases have been investigated with the structural equation model. The results show the statistically significant direct and indirect influences of commercial vitality and transportation infrastructure on the number of confirmedcases in an infectious cluster.