The Spatio-Temporal Characteristics of the Coordinated Development Of
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2.20 Gansu Province
2.20 Gansu Province Gansu Provincial Prison Enterprise Group, affiliated with Gansu Provincial Prison Administration Bureau,1 has 18 prison enterprises Legal representative of the prison company: Liu Yan, general manager of Gansu Prison Enterprise Group2 His official positions in the prison system: Deputy director of Gansu Provincial Prison Administration Bureau No. Company Name of the Legal Person Legal Registered Business Scope Company Notes on the Prison Name Prison, to which and representative/ Title Capital Address the Company Shareholder(s) Belongs 1 Gansu Gansu Provincial Gansu Liu Yan 803 million Wholesale and retail of machinery 222 Jingning The Gansu Provincial Prison Provincial Prison Provincial Deputy director of yuan and equipment (excluding sedans), Road, Administration Bureau is Gansu Province’s Prison Administration Prison Gansu Provincial building materials, chemical Chengguan functional department that manages the Enterprise Bureau Administration Prison products, agricultural and sideline District, prisons in the entire province. It is in charge Group Bureau Administration products (excluding grain Lanzhou City of the works of these prisons. It is at the Bureau; general wholesale); wholesale and retail of deputy department level, and is managed by manager of Gansu daily necessities the Justice Department of Gansu Province.4 Prison Enterprise Group3 2 Gansu Dingxi Prison of Gansu Qiao Zhanying 16 million Manufacturing and sale of high-rise 1 Jiaoyu Dingxi Prison of Gansu Province6 was Dingqi Gansu Province Provincial Member of the yuan and long-span buildings, bridges, Avenue, established in May 1952. Its original name Steel Prison Communist Party marine engineering steel structures, An’ding was the Gansu Provincial Fourth Labor Structure Enterprise Committee and large boiler steel frames, District, Dingxi Reform Detachment. -
World Bank Document
Gansu Revitalization and Innovation Project: Procurement Plan Annex: Procurement Plan Procurement Plan of Gansu Revitalization and Innovation Project April 24, 2019 Public Disclosure Authorized Project information: Country: The People’s Republic of China Borrower: The People’s Republic of China Project Name: Gansu Revitalization and Innovation Project Loan/Credit No: Project ID: P158215 Project Implementation Agency (PIA): Gansu Financial Holding Group Co. Ltd (line of credit PPMO) will be responsible for microcredit management under Component 1. Gansu Provincial Culture and Tourism Department (culture and tourism PPMO) will be responsible for Component 2 and 3. The culture and Public Disclosure Authorized tourism PPMO will be centrally responsible for overseeing, coordinating, and training its cascaded PIUs at lower levels for subproject management. Both PPMOs will be responsible for liaison with the provincial PLG, municipal PLGs, and the World Bank on all aspects of project management, fiduciary, safeguards, and all other areas. The project will be implemented by eight project implementation units (PIUs) in the respective cities/districts/counties under the four prefecture municipalities. They are: Qin’an County Culture and Tourism Bureau, Maiji District Culture and Tourism Bureau, Wushan County Culture and Tourism Bureau, Lintao County Culture and Tourism Bureau, Tongwei County Culture and Tourism Bureau, Ganzhou District Culture and Tourism Bureau, Jiuquan City Culture and Tourism Bureau and Dunhuang City Culture and Tourism Bureau. Name of Components PIUs Gansu Financial Holding Group Co. Ltd (line of credit Public Disclosure Authorized PPMO). GFHG is designated as the wholesaler FI to handle Component 1. Under the direct oversight and Component 1: Increased Access to Financial management of the line of credit PPMO (GFHG), Bank Services for MSEs of Gansu is designated as the 1st participating financial institution (PFI) to handle micro- and small credit transactions. -
Appendix Vii Statutory and General Information
APPENDIX VII STATUTORY AND GENERAL INFORMATION 1. Further Information about the Bank A. Incorporation In light of the lack of provincial city commercial banks in Gansu province and to promote the economic development of Gansu province, the People’s government of Gansu decided to establish a provincial city commercial bank by building on the foundations of Baiyin City Commercial Bank and Pingliang City Commercial Bank. Therefore, on May 30, 2011, 25 legal entities (including large and medium-sized SOEs in Gansu province and private enterprises within and outside Gansu province) and representatives of all the shareholders of Baiyin City Commercial Bank and Pingliang City Commercial Bank jointly entered into a promoters agreement in respect of Dunhuang Bank Co., Ltd. ( ). Pursuant to the agreement, the 25 legal entities contributed cash and all the shareholders of Baiyin City Commercial Bank and Pingliang City Commercial Bank contributed the appraised net assets of Baiyin City Commercial Bank and Pingliang City Commercial Bank, respectively, to incorporate Dunhuang Bank Co., Ltd.. On August 24, 2011, the General Office of the People’s Government of Gansu Province approved the change to the name of the bank to be incorporated from the former “Dunhuang Bank Co., Ltd.” to “Bank of Gansu Co., Ltd.”. On September 27, 2011, the CBRC approved the establishment of the Bank. On November 18, 2011, the CBRC Gansu Office approved the commencement of business of the Bank and the conversion of Baiyin City Commercial Bank, Pingliang City Commercial Bank and their branches and sub-branches into Baiyin Branch, Pingliang Branch and sub-branches of the Bank. -
Zootaxa, New Species of Phrynocephalus
Zootaxa 1988: 61–68 (2009) ISSN 1175-5326 (print edition) www.mapress.com/zootaxa/ Article ZOOTAXA Copyright © 2009 · Magnolia Press ISSN 1175-5334 (online edition) New species of Phrynocephalus (Squamata, Agamidae) from Qinghai, Northwest China XIANG JI1, 2 ,4, YUE-ZHAO WANG3 & ZHENG WANG1 1Jiangsu Key Laboratory for Biodiversity and Biotechnology, College of Life Sciences, Nanjing Normal University, Nanjing 210046, Jiangsu, China 2Hangzhou Key Laboratory for Animal Sciences and Technology, School of Life Sciences, Hangzhou Normal University, Hangzhou 310036, Zhejiang, China 3Chengdu Institute of Biology, Academy of Sciences, Chengdu 610041, Sichuan, China 4Corresponding author. E-mail: [email protected]; Tel: +86-25-85891597; Fax: +86-25-85891526 Abstract A new viviparous species of Phrynocephalus from Guinan, Qinghai, China, is described. Phrynocephalus guinanensis sp. nov., differs from all congeners in the following combination of characters: body large and relatively robust; dorsal ground color of head, neck, trunk, limbs and tail brown with weak light brown mottling; lateral ground color of head, neck, trunk and tail light black with weak white-gray mottling in adult males, and green with weak white-gray mottling in adult females; ventral ground color of tail white-gray to black in the distal part of the tail in adult males, and totally white-gray in adult females; ventral surfaces of hind-limbs white-gray; ventral surfaces of fore-limbs brick-red in adult males, and white-gray in adult females; ventral ground color of trunk and head black in the center but, in the periphery, brick-red in adult males and white-gray in adult females. -
Gansu Cultural and Natural Heritage Protection
PROJECT INFORMATION DOCUMENT (PID) APPRAISAL STAGE Report No.: AB3065 CN-Gansu Cultural and Natural Heritage Protection and Project Name Development Public Disclosure Authorized Region EAST ASIA AND PACIFIC Sector Other social services (57%); General transportation sector (30%); General water, sanitation and flood protection sector (10%); Solid waste management (3%) Project ID P091949 Borrower(s) PEOPLE’S REPUBLIC OF CHINA Implementing Agency Gansu Provincial Government Gansu Provincial Development and Reform Commission 319 Houlou, No. 1 Building Zhongyang Guangchang, Chengguan District Gansu Public Disclosure Authorized China 730030 Tel: +86 931 846 4760 Fax: +86 931 848 4190 [email protected] Environment Category [X] A [ ] B [ ] C [ ] FI [ ] TBD (to be determined) Date PID Prepared July 25, 2007 Date of Appraisal June 20, 2007 Authorization Date of Board Approval TBD 1. Country and Sector Background Public Disclosure Authorized 1. Gansu Province, with its capital of Lanzhou and a total population of 26 million, is located in northwestern China. The economy has traditionally been based on agricultural production, mining of the province’s abundant mineral reserves, and heavy industrial development. Poor infrastructure and Gansu’s distance from the coast, have largely kept it isolated from the rapid development experienced by other provinces in China over the last two decades. As a result, Gansu is the second poorest province in the country, measured by per- capita GDP. Moreover, the province contains some of the country’s poorest communities, as listed on the Government’s national poverty register. 2. A major element of Gansu’s poverty alleviation and economic restructuring strategy is the development of a sustainable tourism industry. -
Prevalence and Risk Factors of Refractive
Wang et al. BMC Ophthalmology (2021) 21:260 https://doi.org/10.1186/s12886-021-01996-2 RESEARCH Open Access Prevalence and risk factors of refractive error in Qinghai, China: a cross-sectional study in Han and Tibetan adults in Xining and surrounding areas Meng Wang†, Linyang Gan†, Jiantao Cui1, Guangliang Shan2, Ting Chen1, Xianghua Wang2, Yuhan Wang1, Li Pan2, Zhanquan Li3, Sen Cui3, Airong Yang3, Wenfang Li3, Guoqiang Jia3, Ximing Han3, Huijing He2, Yong Zhong1* and Jin Ma1* Abstract Background: Our study aimed to explore the prevalence and risk factors of refractive error (RE) in Han and Tibetan population aged 50–79 years in Xining and surrounding areas in Qinghai Province on Qinghai-Tibet Plateau. Methods: As part of the China National Health Survey, our cross-sectional study compared the age-adjusted prevalence of RE in Han and Tibetan older adults aged 50–79 years in Xining and surrounding areas. A multivariate logistic regression model was used to identify risk factors for myopia and hyperopia. Results: Among 769 Han participants and 476 Tibetan participants, the age-adjusted prevalence of myopia (spherical equivalent (SE) < − 0.5D), hyperopia (SE > + 0.5D), high myopia (SE < -6.0D) and astigmatism (cylindrical equivalent > = 0.5D) is 28.56, 22.82, 2.80, and 69.38%. Han participants have higher age-adjusted prevalence of myopia (32.93% vs 21.64%, p < 0.001), high myopia (3.93% vs 1.02%, p = 0.001) and astigmatism (72.14% vs 64.94%, p = 0.021) compared to Tibetan participants. Being Tibetan is the protective factor of myopia compared to being Han (OR 0.58, 95%CI 0.42–0.79, p < 0.001). -
Spatial Distribution Characteristics of Color Steel Plate Buildings in Lanzhou City
Modern Environmental Science and Engineering (ISSN 2333-2581) July 2019, Volume 5, No. 7, pp. 583-589 Doi: 10.15341/mese(2333-2581)/07.05.2019/004 Academic Star Publishing Company, 2019 www.academicstar.us Spatial Distribution Characteristics of Color Steel Plate Buildings in Lanzhou City Jinmei Wang1,2,3, Weifang Yang1,2,3, Shuwen Yang1,2,3, and Haowen Yan1,2,3 1. Faculty of Geomatics,Lanzhou Jiaotong University, China 2. National-Local Joint Engineering Research Center of Technologies and Applications for National Geographic State Monitoring, China 3. Gansu Provincial Engineering Laboratory for National Geographic State Monitoring, China Abstract: Color steel plate building has the characteristics of beautiful appearance, low cost, light weight and fast construction speed. It is an important product in the rapid development of the city. It is widely distributed in urban villages, urban fringe, new technology development zones, construction sites and other plots.Its spatial distribution has obvious aggregation characteristics and regularity. This paper takes the four main urban districts of Lanzhou as the research area. Based on the 2017 remote sensing image and urban regional vector boundary data, the GIS platform is used to obtain the color steel plate building vector data by human-computer interaction interpretation, using buffer analysis method, spatial statistical method, etc, the spatial distribution characteristics of color steel plate buildings in the study area were discussed. The results show that the building density of color steel plate decreases with the distance from the Yellow River, which is consistent with the logarithmic model. As the distance from the city center increases, the overall decline, rising at 4-6km, 12-16km. -
Study on Urban Efficiency Measurement and Spatiotemporal
sustainability Article Study on Urban Efficiency Measurement and Spatiotemporal Evolution of Cities in Northwest China Based on the DEA–Malmquist Model Jun Yin and Qingmei Tan * College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China; [email protected] * Correspondence: [email protected] Received: 18 November 2018; Accepted: 12 January 2019; Published: 15 January 2019 Abstract: Urban efficiency can effectively measure the management and allocation level of urban factor inputs. Based on the data of 30 prefecture-level cities in Northwest China from 2006 to 2015, urban efficiency is measured by data envelopment analysis (DEA). Then the spatiotemporal evolution rule is identified by Malmquist model. The results illustrate that the overall average urban efficiency of cities in Northwest China each year from 2006 to 2015 was at the low level. Only Jiayuguan, Yulin, Yan’an, and Karamay reached the high average urban efficiency, while Dingxi, Pingliang, Guyuan, Shangluo, Tianshui, Longnan, and Baiyin were at the inefficient level. Most cities in Northwest China were still in the “growing” stage of increasing returns to scale. The scale of urban investment was relatively insufficient, and economies of scale had not yet formed. Cities with decreasing returns to scale were mainly distributed in the capital cities and the central and sub-central cities of Guanzhong-Tianshui Economic Zone with relatively abundant urban resources and capital. Cities with constant returns to scale were mainly distributed in four cities including Yan’an, Yulin, Jiayuguan, and Karamay with high efficiency. The overall comprehensive efficiency, technical efficiency, and scale efficiency of cities in Northwest China were not only low, but also showing a downward trend. -
Access China
Access China Gansu September 2012 Room 801-802 Tower B Gemdale Plaza No. 91 Jianguo Road Chaoyang District Beijing 100022 China Economist Intelligence Unit The Economist Intelligence Unit is a specialist publisher serving companies establishing and managing operations across national borders. For 60 years it has been a source of information on business developments, economic and political trends, government regulations and corporate practice worldwide. The Economist Intelligence Unit delivers its information in four ways: through its digital portfolio, where the latest analysis is updated daily; through printed subscription products ranging from newsletters to annual reference works; through research reports; and by organising seminars and presentations. The firm is a member of The Economist Group. London New York Economist Intelligence Unit Economist Intelligence Unit 26 Red Lion Square The Economist Group London 750 Third Avenue WC1R 4HQ 5th Floor United Kingdom New York, NY 10017, US Tel: (44.20) 7576 8000 Tel: (1.212) 554 0600 Fax: (44.20) 7576 8500 Fax: (1.212) 586 0248 E-mail: [email protected] E-mail: [email protected] Hong Kong Geneva Economist Intelligence Unit Economist Intelligence Unit 60/F, Central Plaza Boulevard des Tranchées 16 18 Harbour Road 1206 Geneva Wanchai Switzerland Hong Kong Tel: (852) 2585 3888 Tel: (41) 22 566 2470 Fax: (852) 2802 7638 Fax: (41) 22 346 93 47 E-mail: [email protected] E-mail: [email protected] This report can be accessed electronically as soon as it is published by visiting store.eiu.com or by contacting a local sales representative. The whole report may be viewed in PDF format, or can be navigated section-by-section by using the HTML links. -
Lessons Learned from China's Solar Policies
Lessons learned from China’s solar policies: Implications for Southeast Asia Dr Sam Geall chinadialogue [email protected] April 2019, Wilson Center 19th Party Congress, 2017: the “Driver’s Seat”? • In 3+ hours, Xi’s speech had 89 mentions of ‘environment,’ just 70 of the ‘economy’ • China now “is in the driver’s seat” on climate cooperation • Poverty alleviation focus: “Down-to-earth, adaption to local conditions, classified guidance and targeted poverty alleviation” China’s 13th Five Year Plan (2016-2020) • The “new normal”: from investment-led to consumer-led growth, innovation and services • “Ecological civilization”: focus on green policies and technologies • Energy efficiency, promotion of renewables and reduction of coal in the energy mix: 18% reduction in carbon intensity from 2015 levels by 2020 • 15% reduction in energy intensity • 15% of primary energy from non fossil sources • Reduce energy consumption below 5 billion tonnes of standard coal equivalent by 2020 Top Five Countries Annual Investment/Capacity Additions /Production in 2016 Source: REN21 2017 China’s solar industry boom • Crisis in 2010 led to government intervention; • Domestic market boom between 2010 and 2015; • 15GW installed in 2015 alone; • Hit the ceiling when power grid has no capacity for accommodation and transmission; • Curtailment reaches 50% in some areas in early 2016; • Distributed system favored by government but not by private investors Why renewables for development? • Renewable energy technologies: • help to mitigate climate change • provide cheap and reliable energy to areas where grid-based provision is unreliable or otherwise prohibited by geography or high costs • improve energy availability, energy security and economic resilience. -
Genetic Diversity and Symbiotic Efficiency Difference of Endophytic Rhizobia of Medicago Sativa
Canadian Journal of Microbiology Genetic diversity and symbiotic efficiency difference of endophytic rhizobia of Medicago sativa Journal: Canadian Journal of Microbiology Manuscript ID cjm-2018-0158.R3 Manuscript Type: Article Date Submitted by the 18-Sep-2018 Author: Complete List of Authors: Kang, Wenjuan; Gansu Agricultural University, College of Grassland Science Xu, Lin; College of Agriculture and Biotechnology, Hexi University, Zhangye 734000, China Jiang, Zhehao;Draft College of Grassland Science, Gansu Agricultural University, Lanzhou 730070, China, Shi, Shangli; College of Grassland Science, Gansu Agricultural University; Key Laboratory of Grassland Ecosystem of Ministry of Education, Lanzhou 730070, China Medicago sativa, Endophytic bacteria, Rhizobium, Genetic diversity, Keyword: Symbiotic divergence Is the invited manuscript for consideration in a Special Not applicable (regular submission) Issue? : https://mc06.manuscriptcentral.com/cjm-pubs Page 1 of 36 Canadian Journal of Microbiology 1 Genetic diversity and symbiotic efficiency difference of endophytic rhizobia of Medicago sativa 2 3 Wenjuan Kang1, Lin Xu2, Zhehao Jiang3, Shangli Shi4 4 5 1College of Grassland Science, Gansu Agricultural University, Lanzhou 730070, China 6 E-mail: [email protected] 7 2College of Agriculture and Biotechnology, Hexi University, Zhangye 734000, China 8 E-mail: [email protected] 9 3College of Grassland Science, Gansu Agricultural University, Lanzhou 730070, China 10 E-mail: [email protected] 11 4College of Grassland Science, Gansu Agricultural -
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International Conference on Education, Management, Computer and Society (EMCS 2016) Spatial Structure Analysis Of Tourist Attraction In Lanzhou Based On GIS Wang Rong Wang Dan College of Geography and Environment science, CollegeInstitute of Education,Northwest Normal Northwest Normal University University Lanzhou, China Lanzhou, China e-mail: [email protected] Shi Hui Chun College of Geography and Environment science, Northwest Normal University Lanzhou, China Abstract—Selects 58 tourist attraction in Lanzhou,based on the spatial pattern of tourist attractions, scientific and GIS, analyses its Spatial structure by means of Nearest rational development of tourism resources and better Neighbor Index,Geographic Concentration Index and Gini development of tourism,we studied the spatial structure of Coefficient index;calculates the spatial accessibility of tourist Lanzhou 58 tourist attractions. attraction using cost weighted distance method.Analysis showed:the whole,the Nearest Neighbor Index of Lanzhou II. THE GENERAL SITUATION IN THE STUDY AREA tourist attractions is 0.77,exhibit an aggregated and uneven distribution.the internal differences of Spatial structure is A. The general situation in the Lanzhou city evident,the Nearest Neighbor Index of Chengguan is 0.56,the Lanzhou City, located at latitude 36°03', longitude lowest,the highest is Gaolan county,about 1.23.To provide a reference through this research for the sustainable 103°49'terrain Complex and varied,belong to the transition development of tourism in Lanzhou. zone of Monsoon region the non-monsoon region,arid and semiarid region.Complex and varied terrain,Long history Keywords-GIS;spatial structure;spatial accessibility;tourist and culture make Lanzhou have so rich diverse types of attraction;Lanzhou tourism resources.