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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. -
The Causes and Effects of the Development of Semi-Competitive
Central European University The Causes and Effects of the Development of Semi-Competitive Elections at the Township Level in China since the 1990s By Hairong Lai Thesis submitted in fulfillment for the degree of PhD, Department of Political Science, Central European University, Budapest, January 2008 Supervisor Zsolt Enyedi (Central European University) External Supervisor Maria Csanadi (Hungarian Academy of Sciences) CEU eTD Collection PhD Committee Tamas Meszerics (Central European University) Yongnian Zheng (Nottingham University) 1 Contents Summary..........................................................................................................................................4 Acknowledgements..........................................................................................................................6 Statements........................................................................................................................................7 Chapter 1: Introduction .................................................................................................................8 1.1 The literature on elections in China ....................................................................................8 1.2 Theories on democratization .............................................................................................15 1.3 Problems in the existing literature on semi-competitive elections in China .....................21 1.4 Agenda of the current research..........................................................................................26 -
A Simple Model to Assess Wuhan Lock-Down Effect and Region Efforts
A simple model to assess Wuhan lock-down effect and region efforts during COVID-19 epidemic in China Mainland Zheming Yuan#, Yi Xiao#, Zhijun Dai, Jianjun Huang & Yuan Chen* Hunan Engineering & Technology Research Centre for Agricultural Big Data Analysis & Decision-making, Hunan Agricultural University, Changsha, Hunan, 410128, China. #These authors contributed equally to this work. * Correspondence and requests for materials should be addressed to Y.C. (email: [email protected]) (Submitted: 29 February 2020 – Published online: 2 March 2020) DISCLAIMER This paper was submitted to the Bulletin of the World Health Organization and was posted to the COVID-19 open site, according to the protocol for public health emergencies for international concern as described in Vasee Moorthy et al. (http://dx.doi.org/10.2471/BLT.20.251561). The information herein is available for unrestricted use, distribution and reproduction in any medium, provided that the original work is properly cited as indicated by the Creative Commons Attribution 3.0 Intergovernmental Organizations licence (CC BY IGO 3.0). RECOMMENDED CITATION Yuan Z, Xiao Y, Dai Z, Huang J & Chen Y. A simple model to assess Wuhan lock-down effect and region efforts during COVID-19 epidemic in China Mainland [Preprint]. Bull World Health Organ. E-pub: 02 March 2020. doi: http://dx.doi.org/10.2471/BLT.20.254045 Abstract: Since COVID-19 emerged in early December, 2019 in Wuhan and swept across China Mainland, a series of large-scale public health interventions, especially Wuhan lock-down combined with nationwide traffic restrictions and Stay At Home Movement, have been taken by the government to control the epidemic. -
Spatial-Temporal Features of Wuhan Urban Agglomeration Regional Development Pattern—Based on DMSP/OLS Night Light Data
Journal of Building Construction and Planning Research, 2017, 5, 14-29 http://www.scirp.org/journal/jbcpr ISSN Online: 2328-4897 ISSN Print: 2328-4889 Spatial-Temporal Features of Wuhan Urban Agglomeration Regional Development Pattern—Based on DMSP/OLS Night Light Data Mengjie Zhang1*, Wenwei Miao1, Yingpin Yang2, Chong Peng1, Yaping Huang1 1School of Architecture and Urban Planning, Huazhong University of Science and Technology, Wuhan, China 2Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China How to cite this paper: Zhang, M.J., Miao, Abstract W.W., Yang, Y.P., Peng, C. and Huang, Y.P. (2017) Spatial-Temporal Features of Wu- Based on the night light data, urban area data, and economic data of Wuhan han Urban Agglomeration Regional De- Urban Agglomeration from 2009 to 2015, we use spatial correlation dimen- velopment Pattern—Based on DMSP/OLS sion, spatial self-correlation analysis and weighted standard deviation ellipse Night Light Data. Journal of Building Con- struction and Planning Research, 5, 14-29. to identify the general characteristics and dynamic evolution characteristics of https://doi.org/10.4236/jbcpr.2017.51002 urban spatial pattern and economic disparity pattern. The research results prove that: between 2009 and 2013, Wuhan Urban Agglomeration expanded Received: February 3, 2017 Accepted: March 5, 2017 gradually from northwest to southeast and presented the dynamic evolution Published: March 8, 2017 features of “along the river and the road”. The spatial structure is obvious, forming the pattern of “core-periphery”. The development of Wuhan Urban Copyright © 2017 by authors and Agglomeration has obvious imbalance in economic geography space, pre- Scientific Research Publishing Inc. -
Governance Research of Chinese Rural Finance Exclusion Based on Peasant Survey*
American Journal of Industrial and Business Management, 2014, 4, 585-594 Published Online October 2014 in SciRes. http://www.scirp.org/journal/ajibm http://dx.doi.org/10.4236/ajibm.2014.410063 Governance Research of Chinese Rural Finance Exclusion Based on Peasant Survey* Huixia Cheng, Wentai Wu School of Government, Beijing Normal University, Beijing, China Email: [email protected] Received 17 June 2014; revised 15 July 2014; accepted 20 August 2014 Copyright © 2014 by authors and Scientific Research Publishing Inc. This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/ Abstract The construction of people’s livelihood in rural areas not only needs to meet their basic require- ments such as elders’ care, medical care, and insurance and so on, but also needs to encourage people living in rural areas and make them have confidence to earn a better live through the im- provement of self-development ability. “Insufficiency of self-development ability” and “the lack of opportunity of development” are two of the most important barricades, which interact rural “finance exclusion” as both cause and effect and exert reciprocal intensification as well. The inter- viewing result from the 1938 random samples of local citizens living in villages and towns, which belong to 5 provinces and 26 counties and cities, shows that “lack of funds” is the hugest barricade that prevents peasants improving their self-development ability. The situation is mostly caused by “non-physical finance exclusion”. To govern this situation, the diversity of rural finance require- ments and financial ecology cannot be separated and combination usage of different kinds of go- vernance tools is needed. -
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. -
An Improved Evaluation Scheme for Performing Quality Assessments of Unconsolidated Cultivated Land
sustainability Article An Improved Evaluation Scheme for Performing Quality Assessments of Unconsolidated Cultivated Land Lina Peng 1,2, Yan Hu 2,3, Jiyun Li 4 and Qingyun Du 1,5,6,* 1 School of Resource and Environmental Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, China; [email protected] 2 Wuhan Hongfang Real Estate & Land Appraisal. Co, Ltd., Room 508, District, International Headquarters, Han Street, Wuchang District, Wuhan 430061, China; [email protected] 3 School of Logistics and Engineering Management, Hubei University of Economics, 8 Yangqiao Lake Road, Canglongdao Development Zone, Jiangxia District, Wuhan 430205, China 4 School of Urban and Environmental Sciences, Central China Normal University, 152 Luoyu Road, Wuhan 430079, China; [email protected] 5 Key Laboratory of GIS, Ministry of Education, Wuhan University, 129 Luoyu Road, Wuhan 430079, China 6 Key Laboratory of Digital Mapping and Land Information Application Engineering, National Administration of Surveying, Mapping and Geo-information, Wuhan University, 129 Luoyu Road, Wuhan 430079,China * Correspondence: [email protected]; Tel.: +86-27-6877-8842; Fax: +86-27-6877-8893 Received: 5 June 2017; Accepted: 21 July 2017; Published: 27 July 2017 Abstract: Socioeconomic factors are extrinsic factors that drive spatial variability. They play an important role in land resource systems and sometimes are more important than that of the natural setting. The study aims to build a comprehensive framework for assessing unconsolidated cultivated land (UCL) in the south-central and southwestern portions of Hubei Province, China, which have not experienced project management and land consolidation, to identify the roles of natural and especially socioeconomic factors. -
Hubei Province Overview
Mizuho Bank China Business Promotion Division Hubei Province Overview Abbreviated Name E Provincial Capital Wuhan Administrative 12 cities, 1 autonomous Divisions prefecture, and 64 counties Secretary of the Li Hongzhong; Provincial Party Wang Guosheng Committee; Mayor 2 Size 185,900 km Shaanxi Henan Annual Mean Hubei Anhui 15–17°C Chongqing Temperature Hunan Jiangxi Annual Precipitation 800–1,600 mm Official Government www.hubei.gov.cn URL Note: Personnel information as of September 2014 [Economic Scale] Unit 2012 2013 National Share (%) Ranking Gross Domestic Product (GDP) 100 Million RMB 22,250 24,668 9 4.3 Per Capita GDP RMB 38,572 42,613 14 - Value-added Industrial Output (enterprises above a designated 100 Million RMB 9,552 N.A. N.A. N.A. size) Agriculture, Forestry and Fishery 100 Million RMB 4,732 5,161 6 5.3 Output Total Investment in Fixed Assets 100 Million RMB 15,578 20,754 9 4.7 Fiscal Revenue 100 Million RMB 1,823 2,191 11 1.7 Fiscal Expenditure 100 Million RMB 3,760 4,372 11 3.1 Total Retail Sales of Consumer 100 Million RMB 9,563 10,886 6 4.6 Goods Foreign Currency Revenue from Million USD 1,203 1,219 15 2.4 Inbound Tourism Export Value Million USD 19,398 22,838 16 1.0 Import Value Million USD 12,565 13,552 18 0.7 Export Surplus Million USD 6,833 9,286 12 1.4 Total Import and Export Value Million USD 31,964 36,389 17 0.9 Foreign Direct Investment No. -
Together We Stand, United in Love “In the Name of Love” Planning Committee Week Two Report 2020/02/24 - 2020/03/01
Together We Stand, United In Love “In the Name of Love” Planning Committee Week Two Report 2020/02/24 - 2020/03/01 This was a busy but happy week for the planning committee. As soon as we received a portion of donations last week, we immediately purchased 20 oxygen concentrators and sent them to five hospitals in Wuhan. On the morning of Monday, Feb. 24, we purchased an additional 10 oxygen concentrators to be sent to another three Hubei hospitals. These eight hospitals were the result of a careful selection process and were determined to have the most urgent need on the frontlines. Since purchasing the devices, we have kept a watchful eye on their movements every day. Though our shipments encountered delays due to road closures in certain regions, as of Mar. 01, 28 of the 30 donated oxygen concentrators have reached their intended hospitals. The other two are still en route to their destination of Wufeng Tujia Autonomous County No.2 People’s Hospital. Details of Spreadsheet of all the recipient hospitals Hospital proof of receipt Hospital proof of receipt Hospitals receiving shipments Donations have continued to come in this week, and our “Restaurants in Action” event has received enthusiastic support from community restaurants. On the night of Feb. 28, the planning committee decided to purchase a third batch of 20 oxygen concentrators for donation. 10 of these have already been sent to the following five hospitals: 1. Yanhe Street Health Station, Henglin, Tianmen City: 2 devices 2. Jiuzhen Health Station, Tianmen City: 2 devices 3. Dongfeng Street Central Health Station, Lushi, Tianmen City: 2 devices 4. -
WHO-Convened Global Study of Origins of SARS-Cov-2: China Part
WHO-convened Global Study of Origins of SARS-CoV-2: China Part Joint WHO-China Study 14 January-10 February 2021 Joint Report 1 LIST OF ABBREVIATIONS AND ACRONYMS ARI acute respiratory illness cDNA complementary DNA China CDC Chinese Center for Disease Control and Prevention CNCB China National Center for Bioinformation CoV coronavirus Ct values cycle threshold values DDBJ DNA Database of Japan EMBL-EBI European Molecular Biology Laboratory and European Bioinformatics Institute FAO Food and Agriculture Organization of the United Nations GISAID Global Initiative on Sharing Avian Influenza Database GOARN Global Outbreak Alert and Response Network Hong Kong SAR Hong Kong Special Administrative Region Huanan market Huanan Seafood Wholesale Market IHR International Health Regulations (2005) ILI influenza-like illness INSD International Nucleotide Sequence Database MERS Middle East respiratory syndrome MRCA most recent common ancestor NAT nucleic acid testing NCBI National Center for Biotechnology Information NMDC National Microbiology Data Center NNDRS National Notifiable Disease Reporting System OIE World Organisation for Animal Health (Office international des Epizooties) PCR polymerase chain reaction PHEIC public health emergency of international concern RT-PCR real-time polymerase chain reaction SARI severe acute respiratory illness SARS-CoV-2 Severe acute respiratory syndrome coronavirus 2 SARSr-CoV-2 Severe acute respiratory syndrome coronavirus 2-related virus tMRCA time to most recent common ancestor WHO World Health Organization WIV Wuhan Institute of Virology 2 Acknowledgements WHO gratefully acknowledges the work of the joint team, including Chinese and international scientists and WHO experts who worked on the technical sections of this report, and those who worked on studies to prepare data and information for the joint mission. -
Comparing Chinese and United States Lake Management and Protection As Shared Through a Sister Lakes Program
Comparing Chinese and United States lake management and protection As shared through a sister lakes program Lake Pepin, Minnesota Liangzi Lake, Hubei Province Minnesota Pollution May 2016 Control Agency Authors Steven Heiskary Research Scientist III Water Quality Monitoring Unit Minnesota Pollution Control Agency, Zhiquan Chen Manager Hubei Province Department of Environmental Protection Yiluan Dong Environmental Protection Engineer Hubei Province Department of Environmental Protection Review Pam Anderson Water Quality Monitoring Unit Minnesota Pollution Control Agency Authors Steven Heiskary, Research Scientist III, Water Quality Monitoring Unit, Minnesota Pollution Control Agency Zhiquan Chen, Manager, Hubei Province Department of Environmental Protection Yiluan Dong, Registered Environmental Protection Engineer, Hubei Academy of Environmental Sciences, China Review Pam Anderson, Water Quality Monitoring Unit, Minnesota Pollution Control Agency Editing and graphic design Theresa Gaffey & Paul Andre Minnesota Pollution Control Agency 520 Lafayette Road North | Saint Paul, MN 55155-4194 | | 800-657-3864 | Or use your preferred relay service. [email protected] 651-296-6300 | This report is available in alternative formats upon request, and online at www.pca.state.mn.us. Document number: wq-s1-91 Contents Abstract ........................................................................................................................................................ 1 Introduction ........................................................................................................................................................ -
ERJ-00562-2020.Shareable
ORIGINAL ARTICLE | INFECTIOUS DISEASE Clinical characteristics and outcomes of hospitalised patients with COVID-19 treated in Hubei (epicentre) and outside Hubei (non-epicentre): a nationwide analysis of China Wen-hua Liang1,25, Wei-jie Guan1,25, Cai-chen Li1,25, Yi-min Li2,25, Heng-rui Liang1,25, Yi Zhao1,25, Xiao- qing Liu2, Ling Sang2,3, Ru-chong Chen4, Chun-li Tang4, Tao Wang4, Wei Wang1, Qi-hua He1, Zi-sheng Chen1, Sook-San Wong1, Mark Zanin5, Jun Liu1, Xin Xu1, Jun Huang1, Jian-fu Li1, Li-min Ou1, Bo Cheng1, Shan Xiong1, Zhan-hong Xie4, Zheng-yi Ni3,YuHu6, Lei Liu7,8, Hong Shan9, Chun-liang Lei10, Yi-xiang Peng11, Li Wei12, Yong Liu13, Ya-hua Hu14, Peng Peng15, Jian-ming Wang16, Ji-yang Liu17, Zhong Chen18, Gang Li19, Zhi-jian Zheng20, Shao-qin Qiu21, Jie Luo22, Chang-jiang Ye23, Shao-yong Zhu24, Lin-ling Cheng4, Feng Ye4, Shi-yue Li4,10, Jin-ping Zheng4, Nuo-fu Zhang4,6, Nan-shan Zhong1,26 and Jian-xing He1,26 Affiliations: 1China State Key Laboratory of Respiratory Disease and National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China. 2Dept of Pulmonary and Critical Care Medicine, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China. 3Wuhan Jin-yin tan Hospital, Wuhan, China. 4Dept of Respiratory Disease, China State Key Laboratory of Respiratory Disease and National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.