Clean Water Spouts Opportunities Its Spring Water Comes from 1,810 Meters Deep Under- Ground
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World Bank Document
World Bank-financed Guizhou Rural Development and Poverty Alleviation Project Public Disclosure Authorized Public Disclosure Authorized Social Assessment Report Public Disclosure Authorized Foreign Capital Project Management Center of Guizhou Provincial Poverty Alleviation & Development Office Public Disclosure Authorized May 2014 Contents Contents .................................................................................................................................................................. II List of Tables ........................................................................................................................................................ IV List of Figures ........................................................................................................................................................ V Abstract ..................................................................................................................................................................... i 1 Foreword .......................................................................................................................................................... 1 1.1 Background of the Project ....................................................................................................................... 1 1.2 Tasks of SA ................................................................................................................................................ 1 1.3 Scope of SA ............................................................................................................................................. -
Application of AHP Method and TOPSIS Method in Comprehensive Economic Strength Evaluation of Major Cities in Guizhou Province
2017 International Conference on Computer Science and Application Engineering (CSAE 2017) ISBN: 978-1-60595-505-6 Application of AHP Method and TOPSIS Method in Comprehensive Economic Strength Evaluation of Major Cities in Guizhou Province Liang Zhou*, Changdi Shi and Liming Luo Information Engineering College, Capital Normal University, 100048 Beijing, China ABSTRACT This paper establishes the comprehensive economic strength evaluation system of major cities in Guizhou province, and puts forward the evaluation model of comprehensive economic strength of major cities in Guizhou province based on the AHP method and the TOPSIS method. The AHP method was used to determine the weight of evaluation indicator. The TOPSIS method is used to calculate the positive and negative ideal solutions, analyses the case, and then the final ranking of the comprehensive economic strength of the major cities in Guizhou province. The result shows that the final ranking, from high to low, of comprehensive economic strength of the major cities in Guizhou province is: Guiyang, Zunyi, Liupanshui, Tongren and Anshun. The evaluation system of the comprehensive economic strength indicator of the major cities in Guizhou province has a certain practicability, which provides an evaluation basis in comprehensive economic strength for the major cities in Guizhou province. INTRODUCTION In recent years, with the establishment of large data centers and the promulgation of precision poverty alleviation policies, the national economy and social development of the major cities in Guizhou have made breakthrough progress, but the cities developed unevenly, so it is necessary to explore how to establish a good and scientific comprehensive economic evaluation system. This paper is focused on evaluating the comprehensive economic strength of major cities in Guizhou province effectively. -
Ethnic Minority Development Plan
Ethnic Minority Development Plan Project Number: 51116-002 September 2018 People’s Republic of China: Yangtze River Green Ecological Corridor Comprehensive Agriculture Development Project Prepared by the State Office for Comprehensive Agricultural Development for the Asian Development Bank CURRENCY EQUIVALENTS (as of 24 September 2018) Currency unit – yuan (CNY) CNY1.00 = $0.1458 $1.00 = CNY6.8568 ABBREVIATIONS AB – Agriculture Bureau ACWF – All China Women’s Federation ADB – Asian Development Bank AP – affected person CDC – Center for Disease Control COCAD – County Office for Comprehensive Agricultural Development CPMO – County Project Management Office EM – ethnic minority EMDP – ethnic minority development plan EMP – environmental management plan EMRAO – Ethnic Minority and Religious Affairs Office FB – Forest Bureau FC – farmer cooperative GAP – gender action plan HH – household LSSB – Labor and Social Security Bureau LURT – land use rights transfer M&E – monitoring and evaluation NPMO – national project management office PA – project area PIC – project implementation consultant POCAD – Provincial Office for Comprehensive Agricultural Development PPMO – Provincial Project Management Office PPMS – project performance monitoring system PRC – People’s Republic of China SD – Sanitation Department SOCAD State Office for Comprehensive Agricultural Development TO – Township Office TRTA – Transaction technical assistance WCB – Water Conservancy Bureau WEIGHTS AND MEASUREMENTS ha – hectare km – kilometer km2 – square kilometer m3 – cubic meter NOTE In this report, “$” refers to US dollars. This ethnic minority development plan 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 of this website. -
People's Republic of China FY2017 Ex-Post Evaluation of Japanese
People's Republic of China FY2017 Ex-Post Evaluation of Japanese ODA Loan Project “Guizhou Province Environment Improvement and Education Project” External Evaluators: Toshihiro Nishino/Ayako Nomoto, International Development Center of Japan Inc. 0. Summary The project aimed to improve environment and hygiene, and to develop human resources in local farming villages and suburban cities in 12 national poverty-stricken counties in Guizhou Province by constructing or improving facilities for (i) environmental measures such as methane gas facilities, waste and disposal facilities, and reforestation; (ii) hygiene measures such as roads for daily use, water supply, and medical services; and (iii) senior high school buildings. The project has been consistent with China’s development plans and development needs as well as with Japan’s ODA policy. Therefore, the relevance of the project is high. Although the project cost was within the plan, the project period significantly exceeded it. Therefore, the efficiency of the project is low. The effectiveness/impact is high. Indicators set to measure quantitative effects such as culling of forests, flooded area, volume of soil erosion, percentage of population served water, number of patients, volume and percentage of waste disposed, and senior high school enrollment rate have largely achieved targets or improved. As to qualitative effects, improvements in the environment (including living environment) such as the decrease in the collection of firewood and charcoal, improvement of medical services, improvement of hygiene as well as effects of education have been observed. As for impacts, a decrease in the population of rural poverty, regional economic development, sustainable environmental and social development, and a reduction in the women’s household workload have been observed. -
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Journal of Risk Analysis and Crisis Response Vol. 9(4); January (2020), pp. 163–167 DOI: https://doi.org/10.2991/jracr.k.200117.001; ISSN 2210-8491; eISSN 2210-8505 https://www.atlantis-press.com/journals/jracr Research Article The Harmonious Development of Big Data Industry and Financial Agglomeration in Guizhou Junmeng Lu1,2,*, Mu Zhang1 1School of Big Data Application and Economics, Guizhou University of Finance and Economics, Guiyang, Huaxi, China 2Guizhou Institution for Technology Innovation and Entrepreneurship Investment, Guizhou University of Finance and Economics, Guiyang, Huaxi, China ARTICLE INFO ABSTRACT Article History It has important practical and theoretical significance to study the coupling relationship and coordinated development between Received 31 January 2019 big data industry and financial agglomeration. This paper used 2015 cross-section data, the intuitionistic fuzzy analytic hierarchy Accepted 17 October 2019 process, the intuitionistic fuzzy number score function, the coupling model and the coupling coordination model to empirically research the coupling and coordination level between Guizhou big data industry and financial agglomeration. The empirical Keywords research shows that there is an obvious imbalance in the coordinated development and obvious spatial heterogeneity of big Big data industry data industry and financial agglomeration in Guizhou. Only Guiyang and Zunyi can achieve the coupling and coordinated financial agglomeration development of big data industry and financial agglomeration. IFAHP coupling model © 2020 The Authors. Published by Atlantis Press SARL. coupled coordination model This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/). 1. INTRODUCTION region and improve the efficiency of resource allocation. -
Study on the Influence of Expressway Development On
2021 International Conference on Management, Economics, Business and Information Technology (MEBIT 2021) ISBN: 978-1-60595-097-6 Study on the Influence of Expressway Development on Urban Accessibility in Guizhou Province Yi-lin ZHANG1,2,3,a, Yu ZHANG1,2,3,b, Rui DING1,2,3,c,*, Yi-ming DU1,2,3,d, Ting ZHANG1,2,3,e and Tao ZHOU1,2,3,f 1College of Big Data Application and Economics (Guiyang College of Big Data Finance), Guizhou University of Finance and Economics, Guiyang, China 2Key Laboratory of Green Fintech, Guizhou University of Finance and Economics, Guiyang, China 3Guizhou Key Laboratory of Big Data Statistical Analysis, Guizhou University of Finance and Economics, Guiyang, China [email protected], [email protected], [email protected], [email protected], [email protected], [email protected] *Corresponding author Keywords: Expressway, Node Accessibility, Daily Accessibility, Regional Average Accessibility. Abstract: The construction and development of the expressway network has far-reaching significance for the economic growth of Guizhou Province. In this paper, ArcGIS was used to calculate the nodal accessibility, daily accessibility and regional average accessibility of the expressway network in Guizhou Province, and the evolution of the spatial pattern of accessibility under the influence of expressways in Guizhou Province from 2012 to 2019 was analyzed through three different dimensions of accessibility indicators. The results show that with the continuous construction of expressways, the accessibility of the whole province continues to improve. Guiyang, as the provincial capital city, improved the accessibility of expressways the most during the last 7 years. However, due to the inequality of resources, there are still spatial differences in traffic capacity between cities and cities. -
China Weigao Reducer Success Case (Large Enterprise Version) Serial Company Name Serial Company Name
China Weigao reducer success case (large enterprise version) serial Company Name serial Company Name 1 Shanghai Automobile Group Co., Ltd. 231 Chongqing Textile Holding (Group) Company 2 Dongfeng Motor Corporation 232 Aoyang Group Co., Ltd. 3 Huawei Investment Holdings Co., Ltd. 233 Guangxi Shenglong Metallurgy Co., Ltd. 4 China Ordnance Equipment Group Corporation 234 Lingyuan Iron and Steel Group Co., Ltd. 5 China Minmetals Corporation 235 Futong Group Co., Ltd. 6 China FAW Group Corporation 236 Yongfeng Group Co., Ltd. 7 China Ordnance Industry Corporation 237 Shandong Taishan Iron and Steel Group Co., Ltd. 8 Beijing Automobile Group Co., Ltd. 238 Xinjiang Zhongtai (Group) Co., Ltd. 9 Shandong Weiqiao Venture Group Co., Ltd. 239 Guangdong Haida Group Co., Ltd. 10 China Aviation Industry Corporation 240 Jiangsu Yangzijiang Shipbuilding Group Corporation 11 Zhengwei International Group Co., Ltd. 241 Shenzhen Oufeiguang Technology Co., Ltd. 12 China Baowu Iron and Steel Group Co., Ltd. 242 Dongchen Holding Group Co., Ltd. 13 Lenovo Holdings Co., Ltd. 243 Xinjiang Goldwind Technology Co., Ltd. 14 China National Chemical Corporation 244 Wanji Holding Group Co., Ltd. 15 Hegang Group Co., Ltd. 245 Tsingtao Brewery Co., Ltd. 16 China Shipbuilding Industry Corporation 246 Tasly Holding Group Co., Ltd. 17 Guangzhou Automobile Industry Group Co., Ltd. 247 Wanfeng Auto Holding Group Co., Ltd. 18 Aluminum Corporation of China 248 Wuhan Institute of Posts and Telecommunications 19 China National Building Material Group Co., Ltd. 249 Red Lion Holdings Group Co., Ltd. 20 Hengli Group Co., Ltd. 250 Xinjiang Tianye (Group) Co., Ltd. 21 CRRC Corporation Limited 251 Juhua Group Company 22 Xinxing Jihua Group Co., Ltd. -
Main Brazilian Products Imported by China in 2006 (Source: China Customs)
MAIN BRAZILIAN PRODUCTS IMPORTED BY CHINA IN 2006 (SOURCE: CHINA CUSTOMS) HS CODE PRODUCT NAME IMPORTER Guangdong Commence Imp/Exp Co. Guangdong Youhe Imp/Exp Co. Guangzhou Nanying Foreign Trade Co. Huidong County Port Imp/Exp Co. Wings of fowls of the species Nanning Xinxing Kenong Food Co. 02071421 Gallus domesticus, frozen Ningbo Doctor Kai Food Co. Ningbo Today Food Co. Qingdao Kaiyuan Products Co., Ltd. Shanghai Dajiang (Group) Co., Ltd. Shanghai Food Stuffs Imp/Exp. Co., Ltd. Guangdong Commence Imp/Exp Co. Guangdong Youhe Taiwan Trading Co. Guangzhou Nanying Foreign Trade Co. Nanning Xinxing Kenong Food Co. Ningbo Chengji Food Co. 02071422 Other offal of fowls, frozen Ningbo Doctor Kai Food Co. Ningbo Today Food Co. Qingdao Kaiyuan Products Co., Ltd. Shanghai Dajiang (Group) Co., Ltd. Shanghai Food Stuffs Imp/Exp. Co., Ltd. China Grains and Oils Group Corporation China Textiles Grain and Oil Import & Export Co., Ltd. Dahai Grain and Oil Industry Fangcheng Co.,Ltd. Dalian Huanong Bean Group Limited East Sea Grain and Oil Zhangjiagang Co., Ltd 12010091 Yellow soybeans Huanghai Grain and Oil Industrial Co.,Ltd.(Shandong) Qinhuangdao Jinhai Grain and Oil Industrial Co.,Ltd. Quanzhou Fuhai Cereals and Oil Industrial Co., Ltd. Shandong Sanwei Oil & Fat Group Co., Ltd. Yihai (Lianyungang) Grain and Oil Co., Ltd. Yihai (Yantai) Grain and Oil Co., Ltd. China Grains and Oils Group Corporation China plant Oil Co.,Ltd. Dongma Oil and Fat(Guangzhou Bonded Area)Co., Ltd. East Sea Grain and Oil Zhangjiagang Co., Ltd Shanghai Jintai International Grain & Oil Trading Co., Ltd. Crude oil whether or Not 15071000 degummed Shanghai Liangyou Group Co., Ltd. -
Discussion Materials
BMO Financial Group China’s Role in the Global Food Economy A Look Forward BMO Financial Group in China - Timeline 1818 1961 1996 2003 2004 BMO undertakes first BMO is one of the first BMO is the first BMO becomes a 16.7% BMO is the first FX transaction in western banks to Canadian bank owner of Fullgoal Fund Canadian bank to be support of trade with establish direct licensed for a full- Management, China’s 2nd- licensed by the China China business ties with the service branch in largest mutual fund Banking Regulatory Bank of China Beijing company (increased to Commission to sell 28% in 2004) derivatives in China BMO China Timeline 2005 2005 2006 2008 2010 BMO is the first BMO selected to work BMO opens Shanghai branch officially BMO is the first Canadian bank licensed alongside the BOC, the Investment Banking begins operations Canadian bank to to provide RMB local CITIC and the ICBC as a representative office in incorporate in China currency services to market maker for the new Beijing foreign and local FX trading platform companies in China BMO Financial Group in China – Market Presence Bank of Montreal (China) Co. Ltd. -Office presence since 1983 Beijing -4 Greater China branches and 200 staff ▪ -FX pioneer and government-appointed FX market maker -USD & CNY licenses with national coverage -Active in trade finance -Close relationships with top Chinese banks -Expanded product range with 2010 local incorporation ▪ Shanghai Guangzhou ▪ ▪ Hong Kong Bank of Montreal (China) Co. Ltd is a wholly-owned subsidiary of BMO Financial Group Observations The food industry continues to be one of China’s largest, fastest growing and most important sectors. -
Spatial Correlation Between Type of Mountain Area and Land Use Degree in Guizhou Province, China
sustainability Article Spatial Correlation between Type of Mountain Area and Land Use Degree in Guizhou Province, China Yuluan Zhao 1,2 and Xiubin Li 2,* 1 School of Geographic and Environmental Sciences, Guizhou Normal University, Guiyang 550001, China; [email protected] 2 Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China * Correspondence: [email protected]; Tel.: +86-10-6488-9297 Academic Editors: Fausto Cavallaro and Marc A. Rosen Received: 17 May 2016; Accepted: 24 August 2016; Published: 29 August 2016 Abstract: A scientific definition of the type of mountain area and an exploration of the spatial correlation between different types of mountain areas and regional land use at the county level are important for reasonable land resource utilization and regional sustainable development. Here, a geographic information system was used to analyze digital elevation model data and to define the extent of mountainous land and types of mountain areas in Guizhou province. Exploratory spatial data analysis was used to study the spatial coupling relation between the type of mountain area and land use degree in Guizhou province at the county level. The results were as follows: (1) Guizhou province has a high proportion of mountainous land, with a ratio of mountainous land to non-mountainous land of 88:11. The county-level administrative units in Guizhou province were exclusively mountainous, consisting of eight semi mountainous counties, nine quasi mountainous counties, 35 apparently mountainous counties, 13 type I completely mountainous counties, and 23 type II completely mountainous counties; (2) The land use degree at the county level in Guizhou province have remarkable spatial differentiation characteristics. -
Beyond Ownership: State Capitalism and the Chinese Firm Curtis J
University of Florida Levin College of Law UF Law Scholarship Repository UF Law Faculty Publications Faculty Scholarship 3-2015 Beyond Ownership: State Capitalism and the Chinese Firm Curtis J. Milhaupt Wentong Zheng University of Florida Levin College of Law, [email protected] Follow this and additional works at: http://scholarship.law.ufl.edu/facultypub Part of the Corporation and Enterprise Law Commons, and the Foreign Law Commons Recommended Citation Curtis J. Milhaupt & Wentong Zheng, Beyond Ownership: State Capitalism and the Chinese Firm, 103 Geo. L.J. 665 (2015), available at http://scholarship.law.ufl.edu/facultypub/696 This Article is brought to you for free and open access by the Faculty Scholarship at UF Law Scholarship Repository. It has been accepted for inclusion in UF Law Faculty Publications by an authorized administrator of UF Law Scholarship Repository. For more information, please contact [email protected]. Beyond Ownership: State Capitalism and the Chinese Firm CURTIS J. MILHAUPT*&WENTONG ZHENG** Chinese state capitalism has been treated as essentially synonymous with state- owned enterprises (SOEs). But drawing a stark distinction between SOEs and privately owned enterprises (POEs) misperceives the reality of China’s institutional environment and its impact on the formation and operation of large enterprises of all types. We challenge the “ownership bias” of prevailing analyses of Chinese firms by exploring the blurred boundary between SOEs and POEs in China. We argue that the Chinese state has less control over SOEs and more control over POEs than its ownership interest in the firms suggests. Our analysis indicates that Chinese state capitalism can be better explained by capture of the state than by ownership of enterprise. -
Nongfu Spring Co., Ltd. 農夫山泉股份有限公司
THIS CIRCULAR IS IMPORTANT AND REQUIRES YOUR IMMEDIATE ATTENTION If you are in any doubt as to any aspect of this circular or as to the action to be taken, you should consult a stockbroker or other registered dealer in securities, bank manager, solicitor, professional accountant or other professional adviser. If you have sold or transferred all your shares in Nongfu Spring Co., Ltd., you should at once hand this circular and the accompanying form of proxy to the purchaser or transferee or to the bank, stockbroker or other agent through whom the sale or transfer was effected for transmission to the purchaser or the transferee. Hong Kong Exchanges and Clearing Limited and The Stock Exchange of Hong Kong Limited take no responsibility for the contents of this circular, make no representation as to its accuracy or completeness and expressly disclaim any liability whatsoever for any loss however arising from or in reliance upon the whole or any part of the contents of this circular. NONGFU SPRING CO., LTD. 農夫山泉股份有限公司 (A joint stock company incorporated in the People’s Republic of China with limited liability) (Stock Code: 9633) DECLARATION OF FINAL DIVIDEND GENERAL MANDATE TO ISSUE SHARES AMENDMENTS TO THE ARTICLES OF ASSOCIATION AMENDMENTS TO THE RULES OF PROCEDURES FOR THE SHAREHOLDERS’ GENERAL MEETINGS APPLICATION FOR CREDIT LINES FROM BANKS AND OTHER FINANCIAL INSTITUTIONS AND RELEVANT AUTHORISATIONS TO THE BOARD PROVISION OF GUARANTEE IN FAVOUR OF WHOLLY-OWNED SUBSIDIARIES APPOINTMENT OF SHAREHOLDER REPRESENTATIVE SUPERVISOR AND NOTICE OF ANNUAL GENERAL MEETING A notice convening the annual general meeting of Nongfu Spring Co., Ltd.