Anhui Province Overview
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Lumina Guangzhou GUANGZHOU and Leisure
Guangzhou Lumina GUANGZHOU With Grade A offices, a prime shopping complex and outdoor venues, Lumina Guangzhou is an exhilarating centre for business and leisure (artist’s impression) Review of Operations – Business in Mainland China Progress of Major Development Projects Beijing Lakeside Mansion (24.5% owned) Branch of Beijing Beijing High School No. 4 Hou Sha Yu Primary School An Fu Street Shun Yi District Airport Hospital Hou Sha Yu Hou Sha Yu Station Town Hall Tianbei Road Tianbei Shuang Yu Street Luoma Huosha Road Lake Jing Mi Expressway Yuan Road Yuan Lakeside Mansion, Beijing (artist’s Hua Li Kan Station Subway Line No.15 impression) Located in the central villa area of Houshayu town, Shunyi District, “Lakeside Mansion” is adjacent to the Luoma Lake wetland park and various educational and medical institutions. The site of about 700,000 square feet will be developed into low-rise country-yard townhouses and high-rise apartments, complemented by commercial and community facilities. It is scheduled for completion in the second quarter of 2021, providing a total gross floor area of about 1,290,000 square feet for 979 households. Beijing Residential project in Chaoyang District (100% owned) Shunhuang Road Beijing Road No.7 of Sunhe Blocks Sunhe of Road No.6 Road of Sunhe Blocks of Sunhe Blocks Sunhe of Road No.4 Road of Sunhe Blocks Road No.10 Jingping Highway Jingmi Road Huangkang Road Sunhe Station Subway Line No.15 Residential project in Chaoyang District, Beijing (artist’s impression) Located in the villa area of Sunhe, Chaoyang District, this project is adjacent to the Wenyu River wetland park, Sunhe subway station and an array of educational and medical institutions. -
A Miraculous Ningguo City of China and Analysis of Influencing Factors of Competitive Advantage
www.ccsenet.org/jgg Journal of Geography and Geology Vol. 3, No. 1; September 2011 A Miraculous Ningguo City of China and Analysis of Influencing Factors of Competitive Advantage Wei Shui Department of Eco-agriculture and Regional Development Sichuan Agricultural University, Chengdu Sichuan 611130, China & School of Geography and Planning Sun Yat-Sen University, Guangzhou 510275, China Tel: 86-158-2803-3646 E-mail: [email protected] Received: March 31, 2011 Accepted: April 14, 2011 doi:10.5539/jgg.v3n1p207 Abstract Ningguo City is a remote and small county in Anhui Province, China. It has created “Ningguo Miracle” since 1990s. Its general economic capacity has been ranked #1 (the first) among all the counties or cities in Anhui Province since 2000. In order to analyze the influencing factors of competitive advantages of Ningguo City and explain “Ningguo Miracle”, this article have evaluated, analyzed and classified the general economic competitiveness of 61 counties (cities) in Anhui Province in 2004, by 14 indexes of evaluation index system. The result showed that compared with other counties (cities) in Anhui Province, Ningguo City has more advantages in competition. The competitive advantage of Ningguo City is due to the productivities, the effect of the second industry and industry, and the investment of fixed assets. Then the influencing factors of Ningguo’s competitiveness in terms of productivity were analyzed with authoritative data since 1990 and a log linear regression model was established by stepwise regression method. The results demonstrated that the key influencing factor of Ningguo City’s competitive advantage was the change of industry structure, especially the change of manufacture structure. -
Association Between Social Capital and Depression Among Older People: Evidence from Anhui Province, China
Bai et al. BMC Public Health (2020) 20:1560 https://doi.org/10.1186/s12889-020-09657-7 RESEARCH ARTICLE Open Access Association between social capital and depression among older people: evidence from Anhui Province, China Zhongliang Bai1,2,3, Zhiwei Xu3,4, Xiaoru Xu2, Xia Qin2, Wenbiao Hu3* and Zhi Hu1,2* Abstract Background: To examine the relationship between social capital and depression among community-dwelling older adults in Anhui Province, China. Methods: A cross-sectional study was conducted among older people selected from three cities of Anhui Province, China using a multi-stage stratified cluster random sampling method. Data were collected through questionnaire interviews and information on demographic characteristics, social capital, and depression was collected. The generalized linear model and classification and regression tree model were employed to assess the association between social capital and depression. Results: Totally, 1810 older people aged ≥60 years were included in the final analysis. Overall, all of the social capital dimensions were positively associated with depression: social participation (coefficient: 0.35, 95% CI: 0.22– 0.48), social support (coefficient:0.18, 95% CI:0.07–0.28), social connection (coefficient: 0.76, 95% CI:0.53–1.00), trust (coefficient:0.62, 95% CI:0.33–0.92), cohesion (coefficient:0.31, 95% CI:0.17–0.44) and reciprocity (coefficient:0.30, 95% CI:0.11–0.48), which suggested that older people with higher social capital had a smaller chance to develop depression. A complex joint effect of certain social capital dimensions on depression was also observed. The association with depression and the combinative effect of social capital varied among older adults across the cities. -
World Bank Document
The World Bank Anhui Xuancheng Infrastructure for Industry Relocation (P129431) REPORT NO.: RES33665 Public Disclosure Authorized RESTRUCTURING PAPER ON A PROPOSED PROJECT RESTRUCTURING OF ANHUI XUANCHENG INFRASTRUCTURE FOR INDUSTRY RELOCATION PROJECT APPROVED ON JUNE 20, 2013 TO Public Disclosure Authorized PEOPLE’S REPUBLIC OF CHINA SOCIAL, URBAN, RURAL AND RESILIENCE GLOBAL PRACTICE EAST ASIA AND PACIFIC Public Disclosure Authorized Regional Vice President: Victoria Kwakwa Country Director: Bert Hofman Senior Global Practice Director: Ede Jorge Ijjasz-Vasquez Practice Manager/Manager: Francis Ghesquiere Task Team Leader: Wanli Fang, Minghe Tao Public Disclosure Authorized The World Bank Anhui Xuancheng Infrastructure for Industry Relocation (P129431) ABBREVIATIONS AND ACRONYMS BOD Biological Oxygen Demand CD Country Director EA Environmental Assessment EIA Environmental Impact Assessment EMP Environmental Management Plan GDP Gross Domestic Product MOU Memorandum of Understanding PDO Project Development Objective PMO Project Management Unit RAP Resettlement Action Plan RMB Ren Min Bi (Chinese Currency) SEA Strategic Environmental Assessment TA Technical Assistance TCE Tons Coal Equivalent WWTP Wastewater Treatment Plant XETDZ Xuancheng Economic and Technological Development Zone The World Bank Anhui Xuancheng Infrastructure for Industry Relocation (P129431) BASIC DATA Product Information Project ID Financing Instrument P129431 Investment Project Financing Original EA Category Current EA Category Full Assessment (A) Full Assessment (A) -
Research Article Stability and Complexity Analysis of Temperature Index Model Considering Stochastic Perturbation
Hindawi Advances in Mathematical Physics Volume 2018, Article ID 2789412, 18 pages https://doi.org/10.1155/2018/2789412 Research Article Stability and Complexity Analysis of Temperature Index Model Considering Stochastic Perturbation Jing Wang Faculty of Science, Bengbu University, Bengbu 233030, China Correspondence should be addressed to Jing Wang; [email protected] Received 20 October 2017; Accepted 12 December 2017; Published 1 January 2018 Academic Editor: Giampaolo Cristadoro Copyright © 2018 Jing Wang. Tis is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. A temperature index model with delay and stochastic perturbation is constructed in this paper. It explores the infuence of parameters and stochastic factors on the stability and complexity of the model. Based on historical temperature data of four cities of Anhui Province in China, the temperature periodic variation trends of approximately sinusoidal curves of four cities are given, respectively. In addition, we analyze the existence conditions of the local stability of the temperature index model without stochastic term and estimate its parameters by using the same historical data of the four cities, respectively. Te numerical simulation results of the four cities are basically consistent with the descriptions of their historical temperature data, which proves that the temperature index model constructed has good ftting degree. It also shows that unreasonable delay parameter can make the model lose stability and improve the complexity. Stochastic factors do not usually change the trend in temperature, but they can cause high frequency fuctuations in the process of temperature evolution. -
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 -
The Asymmetric Pattern of Population Mobility During
International Journal of Geo-Information Article The Asymmetric Pattern of Population Mobility during the Spring Festival in the Yangtze River Delta Based on Complex Network Analysis: An Empirical Analysis of “Tencent Migration” Big Data Jinping Lin 1,2 , Kangmin Wu 3,4,5, Shan Yang 1,2,* and Qianqian Liu 1,2 1 School of Geography, Nanjing Normal University, Nanjing 210023, China; [email protected] (J.L.); [email protected] (Q.L.) 2 Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China 3 Key Laboratory of Guangdong for Utilization of Remote Sensing and Geographical Information System, Guangdong Open Laboratory of Geospatial Information Technology and Application, Guangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou 510070, China; [email protected] 4 Institute of Strategy Research for Guangdong, Hong Kong and Macao Greater Bay Area, Guangzhou 510070, China 5 Southern Marine Science and Engineering Guangdong Laboratory, Guangzhou 511458, China * Correspondence: [email protected] Abstract: Population mobility patterns are an important reflection of the future distribution of migrant populations and the evolution trends of urbanization patterns. However, although research Citation: Lin, J.; Wu, K.; Yang, S.; Liu, based on statistical data can reveal the pattern of population flow, it also shows a time lag. Most Q. The Asymmetric Pattern of of the population flow network research based on location services data has failed to fully discuss Population Mobility during the the symmetry of directional outflows and inflows in the same place and the two-way symmetrical Spring Festival in the Yangtze River connections between places. -
Anhui Hefei Urban Environment Improvement Project
Major Change in Scope and Implementation Arrangements Project Number: 36595 Loan Number: 2328-PRC May 2009 People's Republic of China: Anhui Hefei Urban Environment Improvement Project CURRENCY EQUIVALENTS (as of 12 May 2009) Currency Unit - yuan (CNY) CNY1.00 = $0.1466 $1.00 = CNY6.8230 ABBREVIATIONS ADB – Asian Development Bank EA – executing agency HMG – Hefei municipal government HUCIC – Hefei Urban Construction Investment Company HXSAOC – Hefei Xincheng State Assets Operating Company Limited IA – implementing agency km – kilometer m3 – cubic meter PMO – project management office WWTP – wastewater treatment plant NOTE In this report, "$" refers to US dollars Vice-President C. Lawrence Greenwood, Jr., Operations Group 2 Director General K. Gerhaeusser, East Asia Department (EARD) Director A. Leung, Urban and Social Sectors Division, EARD Team leader R. Mamatkulov, Urban Development Specialist, EARD Team member C. Navarro, Project Officer (Portfolio Management), EARD 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. CONTENTS Page MAPS I. INTRODUCTION 1 II. BACKGROUND 1 A. Scope of the Project 2 B. Original Cost Estimates and Financing Plan 3 C. Status of Project Implementation 4 III. THE PROPOSED CHANGES 5 A. Change in Project Scope 5 B. Change in Implementation Arrangements 6 C. Reallocation of Loan Proceeds 6 IV. ASSESSMENT 6 V. RECOMMENDATION 7 APPENDIXES 1. Original Design and Monitoring Framework 8 2. Summary Cost Estimates and Financing Plan 12 3. -
Procured Contracts February/13
Implementation Schedule of Remaining Contracts Not Procured Yet Public Disclosure Authorized 1USD=6.3 CNY (based on the exchange rate as of Nov, 2012) February/13 Estimated Base Costs Expected Comp- Sub- Procure- Prequa- Review by Expected Contract Contract Construction No. onent Component component Sub-component Contract Name ment lifica- WB (Prior Bid Opening Remark Package No. Type Duration No. No. Mothod tion /Post) Date CNY10,000 USD10,000 (month) Wuxiaojie Storm Drainage Pump Civil 1 HSFS/S5/C1 7200.00 1142.86 NCB NO Prior Jan/13 17 in the bidding Huaishang Station & Associated Works Suburban District Flood Public Disclosure Authorized Works Environment Management & 3 Infrastructure 3 Storm Drainage Improvement and Infrastructure Reconstruction & Improvement Expansion of HSFS/S5/C6-N- Wangxiaogou Pump Civil 2 3478.00 552.06 NCB NO Post Apr/13 16 B Stations and Works Wangxiaogou Intake Ditch Public Disclosure Authorized Lilou Road (Donghai New Addition Civil 4 LZUI/S10/C1 Avenue - Huangshan 10572.00 1678.10 NCB NO Prior Apr/13 12 Project of Mid- Works Urban Urban(south of Avenue) Term Adjustment Environment Huai River) 2 3 Infrastructure Infrastructure Fengandong Road Improvement Improvement New Addition (High Speed Rail Civil 5 LZUI/S10/C2 10351.00 1643.02 NCB NO Prior Apr/13 12 Project of Mid- Culvert - Mid. Ring Works Term Adjustment Road) Civil Works Contracts Total 31601.00 5016.03 Public Disclosure Authorized Preparation of Rules and Operational Procedures for Mohekou Industrial Bid evaluation 6 C Zone (MIZ), and - 20 TA QCBS - Prior Aug/12 12 is in process Bidding Document to Select a Professional Technical Operator for MIZ Services, 4 Training and Study Tour Institutional & Financial Bid evaluation 7 E - 32 TA QBS - Prior Aug/12 12 Strengthening of is in process Utility Companies Strategy and Selection of Bengbu 8 F - 21 TA CQS - Prior Mar/13 7 Water Sector Development TA and Training Total - 73 Procured Contracts February/13 Review Estimated Cost Cost of Signed Contract Procure- Contract by WB Bid Opening Contract No. -
Supplement of Modeling Diurnal Variation of Surface PM2.5
Supplement of Atmos. Chem. Phys., 20, 2839–2863, 2020 https://doi.org/10.5194/acp-20-2839-2020-supplement © Author(s) 2020. This work is distributed under the Creative Commons Attribution 4.0 License. Supplement of Modeling diurnal variation of surface PM2:5 concentrations over East China with WRF-Chem: impacts from boundary-layer mixing and anthropogenic emission Qiuyan Du et al. Correspondence to: Chun Zhao ([email protected]) The copyright of individual parts of the supplement might differ from the CC BY 4.0 License. Supporting materials for “Modeling diurnal variation of surface PM2.5 concentration over East China with WRF-Chem: Impacts from boundary layer mixing and anthropogenic emission” Figure S1. Spatial distribution of peak diurnal index of surface PM2.5 concentrations in the four months from experiments CTL1, CTL2, and CTL3. The observations are shown as the color filled circles. The observations at the stations within one city are averaged and shown as one circle as they are too close to be shown distinctly. Figure S2. Comparison between monthly mean surface PM2.5 concentrations and diurnal index of surface PM2.5 concentrations at each observational site over the YRD region of East China (within black box of Fig. 1a) for April and October from observations and experiments CTL1, CTL2, and CTL3. Figure S3a. Relative contribution (normalized by monthly mean surface PM2.5 concentrations for each month) to surface PM2.5 concentrations every 3-hour from individual process (transport, emission, dry and wet deposition, PBL mixing, chemical production/loss) averaged over Nanjing(a) for January, April, July, and October of 2018 from experiments CTL1, CTL2, and CTL3. -
Shanghai Lumina Shanghai (100% Owned)
Artist’s impression LUMINA GUANGZHOU GUANGZHOU Artist’s impression Review of Operations – Business in Mainland China Progress of Major Development Projects Beijing Lakeside Mansion (24.5% owned) Branch of Beijing High School No. 4 Hou Sha Yu Primary School An Fu Street Shun Yi District Airport Hospital Hou Sha Yu Hou Sha Yu Station Town Hall Tianbei Road Tianbei Shuang Yu Street Luoma Huosha Road Lake Jing Mi Expressway Yuan Road Yuan Lakeside Mansion, Beijing (artist’s impression) Hua Li Kan Station Beijing Subway Line No.15 Located in the central villa area of Houshayu town, Shunyi District, “Lakeside Mansion” is adjacent to the Luoma Lake wetland park and various educational and medical institutions. The site of about 700,000 square feet will be developed into low-rise country-yard townhouses and high-rise apartments, complemented by commercial and community facilities. It is scheduled for completion in the third quarter of 2020, providing a total gross floor area of about 1,290,000 square feet for 979 households. Beijing Residential project at Chaoyang District (100% owned) Shunhuang Road Beijing Road No.7 of Sunhe Blocks Sunhe of Road No.6 Road of Sunhe Blocks of Sunhe Blocks Sunhe of Road No.4 Road of Sunhe Blocks Road No.10 Jingping Highway Jingmi Road Residential project at Chaoyang District, Beijing (artist’s impression) Huangkang Road Sunhe Station Subway Line No.15 Located in the villa area of Sunhe, Chaoyang District, this project is adjacent to the Wenyu River wetland park, Sunhe subway station and an array of educational and medical institutions. -
Huishang Bank Corporation Limited* 徽 商 銀 行 股 份 有 限
Hong Kong Exchanges and Clearing Limited and The Stock Exchange of Hong Kong Limited take no responsibility for the contents of this announcement, make no representation as to its accuracy or completeness and expressly disclaim any liability whatsoever for any loss howsoever arising from or in reliance upon the whole or any part of the contents of this announcement. Huishang Bank Corporation Limited* 徽商銀行股份有限公司* (A joint stock company incorporated in the People’s Republic of China with limited liability) (Stock Code: 3698 and 4608 (Preference shares)) 2017 INTERIM RESULTS ANNOUNCEMENT The board of directors (the“ Board”) of Huishang Bank Corporation Limited (the “Bank”) is pleased to announce the unaudited interim results of the Bank and its subsidiaries for the six months ended June 30, 2017. This announcement, containing the full text of the 2017 Interim Report of the Bank, complies with the relevant content requirements of the Rules Governing the Listing of Securities on The Stock Exchange of Hong Kong Limited in relation to preliminary announcements of interim results. The printed version of the Bank’s 2017 Interim Report will be delivered to the holders of H Shares of the Bank and available for viewing on the websites of Hong Kong Exchanges and Clearing Limited at www.hkexnews.hk and of the Bank at www.hsbank.com.cn in September 2017. By order of the Board Huishang Bank Corporation Limited* Li Hongming Chairman Hefei, Anhui Province, China August 25, 2017 As at the date of this announcement, the board of directors of the Bank comprises Li Hongming, Wu Xuemin and Ci Yaping as executive directors; Zhang Feifei, Zhu Jiusheng, Qian Li, Lu Hui, Zhao Zongren, Qiao Chuanfu and Gao Yang as non-executive directors; Au Ngai Daniel, Dai Genyou, Wang Shihao, Zhang Shenghuai and Zhu Hongjun as independent non-executive directors.