Press Release Everbright Greentech Secures Two New Projects
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Cour. Forsch.-Inst. Senckenberg 256 43–56 4 Figs, 2 Tabs Frankfurt a. M., 15. 11. 2006 Neogene Rhinoceroses of the Linxia Basin (Gansu, China) With 4 fi gs, 2 tabs Tao DENG Abstract Ten genera and thirteen species are recognized among the rhinocerotid remains from the Miocene and Pliocene deposits of the Linxia Basin in Gansu, China. Chilotherium anderssoni is reported for the fi rst time in the Linxia Basin, while Aprotodon sp. is found for the fi rst time in Lower Miocene deposits of the basin. The Late Miocene corresponds to a period of highest diversity with eight species, accompanying very abundant macromammals of the Hipparion fauna. Chilotherium wimani is absolutely dominant in number and present in all sites of MN 10–11 age. Compared with other regions in Eurasia and other ages, elasmotheres are more diversifi ed in the Linxia Basin during the Late Miocene. Coelodonta nihowanensis in the Linxia Basin indicates the known earliest appearance of the woolly rhino. The distribution of the Neogene rhinocerotids in the Linxia Basin can be correlated with paleoclimatic changes. Key words: Neogene, rhinoceros, biostratigraphy, systematic paleontology, Linxia Basin, China Introduction mens of mammalian fossils at Hezheng Paleozoological Museum in Gansu and Institute of Vertebrate Paleontology The Linxia Basin is situated in the northeastern corner of and Paleoanthropology in Beijing. the Tibetan Plateau, in the arid southeastern part ofeschweizerbartxxx Gansusng- Several hundred skulls of the Neogene rhinoceroses Province, China. In this basin, the Cenozoic deposits are are known from the Linxia Basin, but most of them belong very thick and well exposed, and produce abundant mam- to the Late Miocene aceratheriine Chilotherium wimani. -
Linxia, People’S Republic of China
Applicant UNESCO Global Geopark Linxia, People’s Republic of China Geographical and geological summary 1. Physical and human geography Linxia Geopark is situated in Linxia Hui Autonomous Prefecture, Gansu Province, People's Republic of China. The geographical coordinates are 103°02′19.08′′-103°38′21.06′′E; 35°14′37.43′′-36°09′10.87′′N, with a total area of 2120 km2. Linxia Geopark stretches across two natural regions, that is, the arid area of the Loess Plateau in Northwest China and the alpine humid area of the Qinghai-Tibet Plateau. The Geopark, high in the southwest and low in the northeast, is in the shape of a sloping basin with an average elevation of 2000m. The Geopark is in a temperate continental climate zone with annual average temperature of 5.0- 9.4°C. The annual precipitation is 260-660mm, and the rainfall is mostly concentrated between June and September. The Geopark is located in the upper reaches of the Yellow River basin and has abundant surface water. Most parts are covered with aeolian loess parent material. The distribution of natural vegetation varies widely with very prominent zonality. The Geopark involves six counties (cities) including Yongjing County, Hezheng County, Dongxiang County, Linxia City, Guanghe County, and Linxia County in Linxia Hui Autonomous Prefecture, and 66 townships. The Geopark has a population of 1.166 million, with 31 nations including Hui, Han, Dongxiang, Baoan, Salar, and so on. In the north of the Geopark, Yongjing County is 74km away from the provincial capital Lanzhou, and in the south, Hezheng is 116km away from Lanzhou. -
Iodine Status in Vulnerable Groups of Linxia Hui Autonomous Prefecture, China
Eastern Journal of Medicine 18 (2013) 68-71 P. Ge et al / Iodine status in vulnerable groups Original Article Iodine status in vulnerable groups of Linxia Hui Autonomous Prefecture, China Pengfei Gea, Zhongliang Zhangb, Yanling Wanga,*, Yongqin Caoa, Jinxiao Xia aGansu Center for Diseases Control and Prevention, Lanzhou Gansu, PR China bThe First People Hospital of Lanzhou City, Lanzhou Gansu, PR China Abstract. To assess iodine status in vulnerable groups of Linxia Hui Autonomous Prefecture, China. We selected 5 villages in the east, south, west, north and center of 8 counties of Linxia Hui Autonomous Prefecture randomly. In each village, one primary school was identified and 80 students aged 8-10 years were randomly selected. At the same time, 20 pregnant women, 20 lactating women, 20 women of childbearing age and 20 young children (0-3 years) were randomly selected via existing township health center lists. The iodine content of household salt and drinking water and the urine in four population subsets (except school-aged children) was measured. The thyroids were examined in school-aged children. The iodine content in most household drinking water (90.2%) was less than 10μg/L. The percentage of households using adequately iodized salt was 83.2% and percentage of households using non-iodized salt was as high as 15%. The median urinary iodine concentration (UIC) of pregnant and lactating women, and women of child-bearing age was 89, 85 and 90μg/L, respectively, indicating an iodine deficiency. The median UIC of 0-3 year old babies was 107μg/L. The goiter rates of school-aged children were 10.6% by ultrasound and 9.9% by palpation. -
The World Bank
Document of The World Bank Report No: 25703-CHA GEF PROJECT DOCUMENT ON A PROPOSED LOAN IN THE AMOUNT OF US$66.27 MILLION AND A GRANT FROM THE GLOBAL ENVIRONMENT FACILITY TRUST FUND IN THE AMOUNT OF US$10.5 MILLION TO THE PEOPLE'S REPUBLIC OF CHINA FOR A GANSU AND XINJIANG PASTORAL DEVELOPMENT PROJECT July 17, 2003 Rural Development and Natural Resources East Asia and Pacific Region CURRENCY EQUIVALENTS (Exchange Rate Effective used for cost calculations) Currency Unit = Renminbi (RMB) Yuan (CNY) RMB 1 = US$ 0.12 US$ 1 = RMB 8.3 FISCAL YEAR January 1 -- December 31 ABBREVIATIONS AND ACRONYMS ABC Agricultural Bank of China MOC Ministry of Commerce ACIAR Australian Center for International Agricultural MOF Ministry of Finance Research MOST Ministry of Science and Technology ADB Asian Development Bank mu Chinese area measurement, 1 mu=0.07 ha. 1 ha=15 mu ADP Agricultural Development Project NBF Non-Bank Financing AI Artificial Insemination NCB National Competitive Bidding AusAid Australian Agency for International Development NEAP National Environmental Action Plan BD Bidding Documents NPV Net Present Value BPM Beneficiaries Participation Manual NDRC National Development and Reform Committee CAS Country Assistance Strategy NS National Shopping CBD Convention on Biological Diversity OD Operational Directive CCD Convention to Combat Desertification OP Operational Program CFAA Country Financial Accountability Assessment OPR Operational Procurement Review CIF Cost-Insurance-Freight PBC People's Bank of China CNAO China National Audit Office -
Online Supplementary Document Song Et Al
Online Supplementary Document Song et al. Causes of death in children younger than five years in China in 2015: an updated analysis J Glob Health 2016;6:020802 Table S1. Description of the sources of mortality data in China National Mortality Surveillance System Before 2013, the Chinese CRVS included two systems: the vital registration system of the Chinese National Health and Family Planning Commission (NHFPC) (the former Ministry of Health) and the sample-based disease surveillance points (DSP) system of the Chinese Center for Disease Control and Prevention (CDC). The vital registration system was established in 1973 and started to collect data of vital events. By 2012, this system covered around 230 million people in 22 provinces, helping to provide valuable information on both mortality and COD patterns, although the data were not truly representative for the whole China [55]. DSP was established in 1978 to collect data on individual births, deaths and 35 notifiable infectious diseases in surveillance areas [56]. By 2004, there were 161 sites included in the surveillance system, covering 73 million persons in 31 provinces. The sites were selected from different areas based on a multistage cluster sampling method, leading to a very good national representativeness of the DSP [57, 58]. From 2013, the above two systems were merged together to generate a new “National Mortality Surveillance System” (NMSS), which currently covers 605 surveillance points in 31 provinces and 24% of the whole Chinese population. The selection of surveillance points was based on a national multistage cluster sampling method, after stratifying for different socioeconomic status to ensure the representativeness [17, 58]. -
Factors Associated with Health Service Utilization
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by KDI School Archives FACTORS ASSOCIATED WITH HEALTH SERVICE UTILIZATION BY RURAL ELDERLY PEOPLE IN MAINLAND CHINA By LI, Rui THESIS Submitted to KDI School of Public Policy and Management in partial fulfillment of the requirements for the degree of MASTER OF PUBLIC POLICY 2015 FACTORS ASSOCIATED WITH HEALTH SERVICE UTILIZATION BY RURAL ELDERLY PEOPLE IN MAINLAND CHINA By LI, Rui THESIS Submitted to KDI School of Public Policy and Management in partial fulfillment of the requirements for the degree of MASTER OF PUBLIC POLICY 2015 Professor Shun Wang FACTORS ASSOCIATED WITH HEALTH SERVICE UTILIZATION BY RURAL ELDERLY PEOPLE IN MAINLAND CHINA By LI, Rui THESIS Submitted to KDI School of Public Policy and Management in partial fulfillment of the requirements for the degree of MASTER OF PUBLIC POLICY Committee in charge: Professor Shun WANG, Supervisor Professor Lisa LIM Professor Ja Eun SHIN Approval as of December, 2015 ABSTRACT Factors Associated With Health Service Utilization By Rural Elderly People in Mainland China By Li Rui This study aims to describe the present situation of utilization for elderly in rural areas, and the factors significantly affecting health services utilization. Using descriptive analysis, Chi-square test, single-factor regression and multiple regression to find significantly associated factors influencing use of health services by rural elderly. Objective: Population aging has become the most important issue in many countries, especially in China. The purposes of this study to find the factors associated with health services utilization and determine the factors which significantly associated with using health services by rural elderly people in mainland China. -
World Bank Document
RP247 Public Disclosure Authorized Gansu Province Zhangye Xiaogushan Hydropower Project Public Disclosure Authorized Resettlement Action Plan Public Disclosure Authorized Public Disclosure Authorized Zhangye xiaogushan Hydropower Co. Ltd. East China Investigation and Design Institute Mar. 2004FIEC f~ RAP-Xiaogushan HPP List of Contents OF RESETTLEMENT PLAN AND DEFINITION OF RESETTLEMENT TERMINOLOGYOBJECTIVES .... 1 .3 1 General Description 3 1.1 Project Background .. .. 4 1.2 Project Description .. 5 1.3 Project Impact Scope and Service Scope 1.3.1 Project impact scope .5 .5 1.3.2 Project service scope 5 1.4 Project Schedule .. 6 1.5 Measures to Mitigate Adverse Impact of Project .6 1.5.1 Reduce project impact scope .6 1.5.2 Reduce project impact on local surroundings 7 1.6 Project Design and Review .. .. 7 1.7 Resettlement Implementation Plan Affected Area ...................... 1 2 Natural, Social, and Economic Conditions at Project 4 3 Project Impact ....................................................... 4 3.1 Project Impact Scope ..................................................... ...........................................4 3.2 Category of Project Impacts and Survey Method 4 3.3 Project Im pact Inventory ...................................................... 8 3.4 Project im pact analysis ...................................................... 10 4 Frame of laws ........ .............................................. 10 4.1 Relative Laws and Regulations ..................................................... 10 4.2 Related Articles -
Minimum Wage Standards in China August 11, 2020
Minimum Wage Standards in China August 11, 2020 Contents Heilongjiang ................................................................................................................................................. 3 Jilin ............................................................................................................................................................... 3 Liaoning ........................................................................................................................................................ 4 Inner Mongolia Autonomous Region ........................................................................................................... 7 Beijing......................................................................................................................................................... 10 Hebei ........................................................................................................................................................... 11 Henan .......................................................................................................................................................... 13 Shandong .................................................................................................................................................... 14 Shanxi ......................................................................................................................................................... 16 Shaanxi ...................................................................................................................................................... -
Project Document for WP
CHINA Gansuand Xinjiang PastoralDevelopment Project GEF Project Brief EastAsia and Pacific Region EASRD IDate: October21, 2002 --- Team Leader: Sari K. Soderstrom Sector Manager/Director: Mark D. Wilson Sector(s): Animal production (50%), Agricultural Country Manager/Director: Yukon Huang marketingand trade (25%), Agricultural extensionand Project ID: P065035 research(25%) Lending Instrument: Specific InvestmentLoan (SIL) Theme(s): Land management(P), Other environmentand naturalresources management (P), Rural markets (P) [Global SupplementallD: POIm~ Team Leader: Sari~d~om - Sector Manager/Director: Mark D. Wilson Sector(s): Generalagriculture, fishing and forestry sector Lending Instrument: Specific InvestmentLoan (SIL) (60%), Agricultural extensionand research(40%) Focal Area: G Theme(s): Other environmentand naturalresources Supplement Fully Blended? No management(P), Biodiversity (P), Land management(P), Other rural development--, (P), Climate change(S) , Project Financing Data --- [X] Loan [ ] Credit [ ] Grant [ ] Guarantee r ] Other: For Loans/Credits/Others: Amount (US$m): 10.50 Borrower Rationale for Choice of Loan Terms Available on File: [ Yes Proposed Terms (IBRD): Variable-Spread Loan (VSL) Front end fee (FEF) on Bank loan: 1.00% Total BORROWER 32.45 0.00 r--'/!:[2 .4 5 ffiRDI 45.77 20.50 66.27 GLOBAL ENVIRONMENT FACILITY 8.00 2.50 10.50 86.22 23.00 109.22 - Borrower/Recipient: PRC Responsible agency: GANSU PROVINCE, XINJIANG AUTONOMOUS REGION Ministry of Agriculture -Foreign Economic CooperationCenter -Livestock and Fisheries Project Division ContactPerson: Mr. Tang Zhishao Tel: + 861065003273 Fax: + 861064194578 Email: [email protected] OtherAgency(ies): Agriculture and Animal HusbandryDepartment, Gansu Province Address: I Qing'anLu, Lanzhou, China, 730030 ContactPerson: Mr. Li Guolin Tel: + 86 931 8452377 Fax: + 86 9318826287 Email: [email protected].([email protected] Animal HusbandryDeparment, Xinjiang Uygur AutonomousRegion Address: 23 Xinhua Nan Lu, Urumqi, China, 830001 ContactPerson: Mr. -
Regional Differences of Rural Financial Exclusion ——In Gansu and Jiangsu Province
Regional Differences of Rural Financial Exclusion ——in Gansu and Jiangsu Province Yuying Zhao Department of Agricultural Economics University of Arkansas [email protected] Selected Paper prepared for presentation at the Southern Agricultural Economics Association’s 2016 Annual Meeting, San Antonio, Texas. February 6-9, 2016. Copyright 2016 by Yuying Zhao. All rights reserved. Readers may verbatim copies of this document for non-commercial purposes by any means, provided this copyright notice appears on all such copies. Abstract At present, China is facing a serious problem of financial exclusion in rural areas, which restricts the development of rural economy and even the comprehensive, balanced and sustainable development of the overall real economy. From the perspective of regional differences in Gansu and Jiangsu provinces and between these two provinces, this paper establishes the Index of Rural Financial Exclusion, and explores the relationship between the refined indicators. Combining the economic theory, this paper uses double logarithmic models to analyze empirically on the relationship between the balance of loans per person and two factors: the density of branches with respect to population and GDP per capita and then compares these two models. We use this model to discuss the driving factor that can help to alleviate rural financial exclusion in different regions. In this paper, comparative analysis, theoretical analysis, empirical analysis, qualitative analysis and quantitative analysis are methods used to analyze the statistical data issued by the China Banking Regulatory Commission. This paper integrates the analyses of rural financial exclusion in provinces and between provinces, and comes to these conclusions about the rural financial exclusion problem of Gansu Province and Jiangsu Province in micro and macro level: (1) the forms of rural financial difference between areas are diverse. -
Introduction, Grammar, and Sample Sentences for Dongxiang
SINO-PLATONIC PAPERS Number 55 November, 1994 Introduction, Grammar, and Sample Sentences for Dongxiang by Üjiyediin Chuluu (Chaolu Wu) Victor H. Mair, Editor Sino-Platonic Papers Department of East Asian Languages and Civilizations University of Pennsylvania Philadelphia, PA 19104-6305 USA [email protected] www.sino-platonic.org SINO-PLATONIC PAPERS is an occasional series edited by Victor H. Mair. The purpose of the series is to make available to specialists and the interested public the results of research that, because of its unconventional or controversial nature, might otherwise go unpublished. The editor actively encourages younger, not yet well established, scholars and independent authors to submit manuscripts for consideration. Contributions in any of the major scholarly languages of the world, including Romanized Modern Standard Mandarin (MSM) and Japanese, are acceptable. In special circumstances, papers written in one of the Sinitic topolects (fangyan) may be considered for publication. Although the chief focus of Sino-Platonic Papers is on the intercultural relations of China with other peoples, challenging and creative studies on a wide variety of philological subjects will be entertained. This series is not the place for safe, sober, and stodgy presentations. Sino-Platonic Papers prefers lively work that, while taking reasonable risks to advance the field, capitalizes on brilliant new insights into the development of civilization. The only style-sheet we honor is that of consistency. Where possible, we prefer the usages of the Journal of Asian Studies. Sinographs (hanzi, also called tetragraphs [fangkuaizi]) and other unusual symbols should be kept to an absolute minimum. Sino-Platonic Papers emphasizes substance over form. -
Analysis of Spatial-Temporal Dynamics and Influencing Factors of County Economic Disparity: a Case Study of Gansu Province
Advances in Social Science, Education and Humanities Research, volume 176 2nd International Conference on Management, Education and Social Science (ICMESS 2018) Analysis of Spatial-temporal Dynamics and Influencing Factors of County Economic Disparity: A Case Study of Gansu Province Yan Han, Yuan Zhang, Meiling Deng Department of Economics and Management Lanzhou Jiaotong University Lanzhou China Abstract—This paper uses the analytical framework of [3].The above studies provide useful analytical approaches for exploratory spatial-temporal data analysis (ESTDA) to analyze understanding regional economic differences. the spatial-temporal dynamics and influencing factors of county- level economic disparities in Gansu Province from 1995-2015. The A large number of empirical studies have shown that spatial results are as follows: Through the analysis of spatial-temporal dependence and heterogeneity are ubiquitous and not an evolution, it is found that the regional economy of Gansu Province exception. Economic development differences themselves has a local spatial differentiation while the spatial agglomeration coexist with spatial patterns of temporal dynamics and spatial area is expanding. The phenomenon of club convergence has patterns of temporal behavior. On the other hand, more and emerged in regional economic development, and the regional more scholars have noticed that the temporal and spatial economy has obvious path dependence characteristics. The spatial properties of data are equally important, but the existing regression model was used to analyze the factors affecting regional research methods focus on only one of them, namely spatial type economic differences in Gansu Province. Among them, the degree analysis (formal analysis) and time series analysis (process of decentralization and marketization have greater impact on analysis) is often separated [11-12].