Huizhou's Roots in Trade Still Echo Today
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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. -
New Insight Into the Phylogeographic Pattern Of
New insight into the phylogeographic pattern of Liriodendron chinense (Magnoliaceae) revealed by chloroplast DNA: east–west lineage split and genetic mixture within western subtropical China Aihong Yang, Yongda Zhong, Shujuan Liu, Lipan Liu, Tengyun Liu, Yanqiang Li and Faxin Yu The Key Laboratory of Horticultural Plant Genetic and Improvement of Jiangxi, Institute of Biological Resources, Jiangxi Academy of Sciences, Nanchang, Jiangxi, China ABSTRACT Background: Subtropical China is a global center of biodiversity and one of the most important refugia worldwide. Mountains play an important role in conserving the genetic resources of species. Liriodendron chinense is a Tertiary relict tree largely endemic to subtropical China. In this study, we aimed to achieve a better understanding of the phylogeographical pattern of L. chinense andtoexploretheroleofmountainsintheconservationofL. chinense genetic resources. Methods: Three chloroplast regions (psbJ-petA, rpl32-ndhF, and trnK5’-matK) were sequenced in 40 populations of L. chinense for phylogeographical analyses. Relationships among chloroplast DNA (cpDNA) haplotypes were determined using median-joining networks, and genetic structure was examined by spatial analysis of molecular variance (SAMOVA). The ancestral area of the species was reconstructed using the Bayesian binary Markov Chain Monte Carlo (BBM) method according to its geographic distribution and a maximum parsimony (MP) tree based on Bayesian methods. Results: Obvious phylogeographic structure was found in L. chinense. SAMOVA Submitted 13 September 2018 revealed seven groups matching the major landscape features of the L. chinense Accepted 26 December 2018 Published 1 February 2019 distribution area. The haplotype network showed three clades distributed in the eastern, southwestern, and northwestern regions. Separate northern and southern Corresponding author Faxin Yu, [email protected] refugia were found in the Wu Mountains and Yungui Plateau, with genetic admixture in the Dalou Mountains and Wuling Mountains. -
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. -
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. -
China's Special Poor Areas and Their Geographical Conditions
sustainability Article China’s Special Poor Areas and Their Geographical Conditions Xin Xu 1,2, Chengjin Wang 1,2,*, Shiping Ma 1,2 and Wenzhong Zhang 1,2 1 Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; [email protected] (X.X.); [email protected] (S.M.); [email protected] (W.Z.) 2 College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China * Correspondence: [email protected] Abstract: Special functional areas and poor areas tend to spatially overlap, and poverty is a common feature of both. Special poor areas, taken as a kind of “policy space,” have attracted the interest of researchers and policymakers around the world. This study proposes a basic concept of special poor areas and uses this concept to develop a method to identify them. Poor counties in China are taken as the basic research unit and overlaps in spatial attributes including old revolutionary bases, borders, ecological degradation, and ethnic minorities, are used to identify special poor areas. The authors then analyze their basic quantitative structure and pattern of distribution to determine the geographical bases’ formation and development. The results show that 304 counties in China, covering a vast territory of 12 contiguous areas that contain a small population, are lagging behind the rest of the country. These areas are characterized by rich energy and resource endowments, important ecological functions, special historical status, and concentrated poverty. They are considered “special poor” for geographical reasons such as a relatively harsh natural geographical environment, remote location, deteriorating ecological environment, and an inadequate infrastructure network and public service system. -
Analysis of Historic Rainfall Characteristics for Robust Wheat Cropping in North Anhui
Analysis of historic rainfall characteristics for robust wheat cropping in North Anhui Hui Su, Yibo Wu, Yulei Zhu, Youhong Song Anhui Agricultural University, School of Agronomy, Hefei, 233036. Corresponding email: [email protected] Abstract Northern part of Anhui is one of major wheat producing areas in China. The total amount of rainfall is sufficient for wheat season; however, it is unevenly distributed at the different growth stages, resulting in risk of yield losses. In order to optimise the cultivation in North Anhui, it is essential to characterise the rainfall pattern for wheat growth particularly in the critical period (i.e. the months of sowing and harvesting). By analysing the rainfall data from 1955 to 2017, this study characterised the rainfall pattern from six sites representing different regions of North Anhui. The frequency of continuous rainfall days during sowing and harvesting periods were quantified based on 63 years rainfall distribution. The characterisation of rainfall in six representative sites in North Anhui were able to be used to guide wheat sowing and harvesting, which could help farmers to make decisions and avoid likelihood of cropping risks. Key Words Winter wheat, rainfall pattern, sustainable cropping, China Introduction Huang-Huai-Hai plain is a major wheat production area in China (Yang, 2018). The northern part of Anhui province belongs to south Huang-Huai-Hai plain. The wheat sowing time normally varies 1 week before or after October 15 and harvesting is tightly closing to May 31 in the following year. The climate characteristics particularly rainfall distribution over the season are complicated in North Anhui as it is in the transitional zone between the North and South China. -
Provenance of the Zhou Dynasty Bronze Vessels Unearthed from Zongyang County, Anhui Province, China: Determined by Lead Isotopes and Trace Elements
Provenance of the Zhou Dynasty Bronze Vessels Unearthed from Zongyang County, Anhui Province, China: Determined by Lead Isotopes and Trace Elements Yanjie Wang ( [email protected] ) Anhui University https://orcid.org/0000-0002-5768-5464 Guofeng Wei Anhui University Qiang Li Anhui University Xiaoping Zheng Wenzhou Party Institute of Cultural Relics and Archaeology Danchun Wang Anhui Museum Research Article Keywords: Bronze vessels, Mining and smelting, Lead isotopes, Trace elements, Provenance Posted Date: June 17th, 2021 DOI: https://doi.org/10.21203/rs.3.rs-176870/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Version of Record: A version of this preprint was published at Heritage Science on August 20th, 2021. See the published version at https://doi.org/10.1186/s40494-021-00566-5. Page 1/20 Abstract Thirteen Zhou Dynasty bronze vessels and two slags from Zongyang County along the north bank of the Yangtze River in Anhui were analyzed by LA-MC-ICP-MS and EDXRF. The results of the lead isotope analysis showed that there were two kinds of lead materials in the Zongyang bronzes. Class which could have originated from the Wannan region were mainly used in the Western Zhou and the following Spring and Autumn periods; while Class , possibly from the local mines in Zongyang County, were mainly present in the Warring States period. Such a shift in the ore material sources is also revealed by the analysis of the trace elements of the Zongyang bronzes. With reference to relevant historical documents, it can be inferred that the transformation of the bronze material sources could be related to the changes of the political situation during the Zhou Dynasty. -
Research on Spatio-Temporal Characteristics and Obstacle Diagnosis of Ecosystem Security in Huaihe River Economic Belt
Pol. J. Environ. Stud. Vol. 30, No. 6 (2021), 5377-5389 DOI: 10.15244/pjoes/135608 ONLINE PUBLICATION DATE: 2021-09-01 Original Research Research on Spatio-Temporal Characteristics and Obstacle Diagnosis of Ecosystem Security in Huaihe River Economic Belt Yanna Zhu1, 2*, Gang He1, 2**, Guisheng Zhang1, Xiangqian Wang2, Chaoyu Yang2 1State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines, Huainan, Anhui, 232001, China 2College of Economy and Management, Anhui University of Science and Technology, Huainan, Anhui, 232001, China Address: No.168, Taifeng Street, Huainan, Anhui province, China Received: 12 December 2020 Accepted: 8 April 2021 Abstract The security pattern of the ecosystem in Huaihe River Economic Belt plays a vital role in maintaining the healthy and stable structure of the ecosystem and the green development of the ecological environment in the central and eastern regions of China. This study takes Anhui section of Huaihe River Economic Belt as the case studies, and then the Pressure-State-Response (PSR) theory was used to construct the ecosystem security evaluation index system. In addition, cloud matter element as well as resistance diagnosis model was adopted to dynamically evaluate the spatio-temporal evolution pattern. The final stage was to diagnose main obstacle factors of ecosystem security in Anhui section of Huaihe River Economic Belt from 2010 to 2018. The results indicate that: (1) Overall, the ecosystem security level of Anhui section of the Huaihe River Economic belt has undergone the evolution trend of “descending - ascending - descending - ascending”, and the overall change shows the curve of “W” shape. -
Inside Information Bankruptcy and Liquidation of a Subsidiary of the Company
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. (a sino-foreign joint stock limited company incorporated in the People’s Republic of China) (Stock Code: 00991) INSIDE INFORMATION BANKRUPTCY AND LIQUIDATION OF A SUBSIDIARY OF THE COMPANY This announcement is made by Datang International Power Generation Co., Ltd. (the “Company”) pursuant to Part XIVA of the Securities and Futures Ordinance (Cap. 571, Laws of Hong Kong) and Rules 13.09(2)(a) and 13.10B of the Rules Governing the Listing of Securities on The Stock Exchange of Hong Kong Limited(the “Hong Kong Listing Rules”). This announcement is also made by the Company pursuant to Rules 13.25(1), 13.51B(2) and 13.51(2)(l) of the Hong Kong Listing Rules. The board of directors of the Company (the “Board”) announced that Datang Anqing Biomass Power Generation Co., Ltd. (“Anqing Company”), a holding subsidiary of the Company, received the Civil Ruling from the People’s Court of Daguan District, Anqing City, Anhui Province ((2021) Wan 0803 Po Shen No. 1) recently. 1. OVERVIEW OF THE BANKRUPTCY AND LIQUIDATION Anqing Company applied to the People’s Court of Daguan District, Anqing City, Anhui Province for the bankruptcy and liquidation on the ground that it was unable to settle its due debts and its assets were insufficient to pay off all its debts.