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World Bank Document
CONFORMED COPY Public Disclosure Authorized LOAN NUMBER 7616-CN Loan Agreement Public Disclosure Authorized (Wenchuan Earthquake Recovery Project) between PEOPLE’S REPUBLIC OF CHINA Public Disclosure Authorized and INTERNATIONAL BANK FOR RECONSTRUCTION AND DEVELOPMENT Dated March 20, 2009 Public Disclosure Authorized LOAN AGREEMENT AGREEMENT dated March 20, 2009, between PEOPLE’S REPUBLIC OF CHINA (“Borrower”) and INTERNATIONAL BANK FOR RECONSTRUCTION AND DEVELOPMENT (“Bank”). The Borrower and the Bank hereby agree as follows: ARTICLE I – GENERAL CONDITIONS; DEFINITIONS 1.01. The General Conditions (as defined in the Appendix to this Agreement) constitute an integral part of this Agreement. 1.02. Unless the context requires otherwise, the capitalized terms used in the Loan Agreement have the meanings ascribed to them in the General Conditions or in the Appendix to this Agreement. ARTICLE II – LOAN 2.01. The Bank agrees to lend to the Borrower, on the terms and conditions set forth or referred to in this Agreement, an amount equal to seven hundred ten million Dollars ($710,000,000), as such amount may be converted from time to time through a Currency Conversion in accordance with the provisions of Section 2.07 of this Agreement (“Loan”), to assist in financing the project described in Schedule 1 to this Agreement (“Project”). 2.02. The Borrower may withdraw the proceeds of the Loan in accordance with Section IV of Schedule 2 to this Agreement. 2.03. The Front-end Fee payable by the Borrower shall be equal to one quarter of one percent (0.25%) of the Loan amount. The Borrower shall pay the Front-end Fee not later than sixty (60) days after the Effective Date. -
Analysis of Accumulation Models of Middle Permian in Northwest Sichuan Basin
EARTH SCIENCES RESEARCH JOURNAL GEOLOGY Earth Sci. Res. J. Vol. 24, No. 4 (December, 2020): 419-428 Analysis of accumulation models of middle Permian in Northwest Sichuan Basin Bin Li1,2,*, Qiqi Li3, Wenhua Mei2, Qingong Zhuo4, Xuesong Lu4 1State Key Laboratory of Shale Oil and Gas Enrichment Mechanisms and Effective Development, Wuxi, 214126 2School of Geoscience and Technology, Southwest Petroleum University, Chengdu, 610500 3School of Earth Resources, China University of Geosciences, Wuhan, 430074; 4PetroChina Research Institute of Petroleum Exploration and Development, Beijing 100083, China *Corresponding author: [email protected] ABSTRACT Keywords: Northwest of Sichuan Basin; Great progress has been made in middle Permian exploration in Northwest Sichuan in recent years, but there are still Structure Evolution of Foreland Basin; Middle many questions in understanding the hydrocarbon accumulation conditions. Due to the abundance of source rocks and Permian; Paleozoic; Accumulation conditions; the multi-term tectonic movements in this area, the hydrocarbon accumulation model is relatively complex, which has Accumulation Model. become the main problem to be solved urgently in oil and gas exploration. Based on the different tectonic backgrounds of the middle Permian in northwest Sichuan Basin, the thrust nappe belt, the hidden front belt, and the depression belt are taken as the research units to comb and compare the geologic conditions of the middle Permian reservoir. The evaluation of source rocks and the comparison of hydrocarbon sources suggest that the middle Permian hydrocarbon mainly comes from the bottom of the lower Cambrian and middle Permian, and the foreland orogeny promoted the thermal evolution of Paleozoic source rocks in northwest Sichuan to high maturity and over maturity stage. -
CLEAN DEVELOPMENT MECHANISM PROJECT DESIGN DOCUMENT FORM (CDM-PDD) Version 03 - in Effect As Of: 28 July 2006
PROJECT DESIGN DOCUMENT FORM (CDM PDD) - Version 03 CDM – Executive Board page 1 CLEAN DEVELOPMENT MECHANISM PROJECT DESIGN DOCUMENT FORM (CDM-PDD) Version 03 - in effect as of: 28 July 2006 CONTENTS A. General description of project activity B. Application of a baseline and monitoring methodology C. Duration of the project activity / crediting period D. Environmental impacts E. Stakeholders‟ comments Annexes Annex 1: Contact information on participants in the project activity Annex 2: Information regarding public funding Annex 3: Baseline information Annex 4: Monitoring plan PROJECT DESIGN DOCUMENT FORM (CDM PDD) - Version 03 CDM – Executive Board page 2 SECTION A. General description of project activity A.1. Title of the project activity: Project title: Sichuan Dechang Xinma 120 MW Hydropower project PDD Version: 1.0 Completion date PDD: 11/08/2009 A.2. Description of the project activity: The Sichuan Dechang Xinma 120 MW Hydropower project (hereafter referred to „ the project „ or „project‟) involves the construction of a run-of-river hydropower station at the main stream of the Anning River at Meizi Village, Dechang county of Sichuan Province, China, which is constructed and operated by Dechang Xinma Hydropower development Co., Ltd. The dam locates 40 km from Dechang County, The total installed capacity of the project will be 120MW and the total surface area of the reservoir at full capacity is 374,000m2 and the power density of the project is 320 W/m2. The expected annual effective operating hour is 4,086 hours and annual power generation is about 573,960MWh. The expected annual power supply is 544,000 MWh. -
Online Appendix (474.67
How do Tax Incentives Aect Investment and Productivity? Firm-Level Evidence from China ONLINE APPENDIX Yongzheng Liu School of Finance Renmin University of China E-mail: [email protected] Jie Mao School of International Trade and Economics University of International Business and Economics E-mail: [email protected] 1 Appendix A: Supplementary Figures and Tables Figure A1: The Distribution of Estimates for the False VAT Reform Variable Panel A. ln(Investment) Panel B. ln(TFP, OP method) 15 50 40 10 30 20 5 Probabilitydensity Probability density 10 0 0 -0.10 0.00 0.10 0.384 -0.02 0.00 0.02 0.089 The simulated VAT reform estimate The simulated VAT reform estimate reference normal, mean .0016 sd .03144 reference normal, mean .00021 sd .00833 Notes: The gure plots the density of the estimated coecients of the false VAT reform variable from the 500 simulation tests using the specication in Column (3) of Table 2. The vertical red lines present the treatment eect estimates reported in Column (3) of Table 2. Source: Authors' calculations. 2 Table A1: Evolution of the VAT Reform in China Stage of the Reform Industries Covered (Industry Classication Regions Covered (Starting Codes) Time) Machine and equipment manufacturing (35, 36, 39, 40, 41, 42); Petroleum, chemical, and pharmaceutical manufacturing (25, 26, 27, 28, 29, 30); Ferrous and non-ferrous metallurgy (32, 33); The three North-eastern provinces: Liaoning (including 1 (July 2004) Agricultural product processing (13, 14, 15, 17, 18, 19, 20, 21, Dalian city), Jilin and Heilongjiang. 22); Shipbuilding (375); Automobile manufacturing (371, 372, 376, 379); Selected military and hi-tech products (a list of 249 rms, 62 of which are in our sample). -
Lanzhou-Chongqing Railway Development – Resettlement Action Plan Monitoring Report No
Resettlement Monitoring Report Project Number: 35354 April 2010 PRC: Lanzhou-Chongqing Railway Development – Resettlement Action Plan Monitoring Report No. 1 Prepared by: CIECC Overseas Consulting Co., Ltd Beijing, PRC For: Ministry of Railways This report has been submitted to ADB by the Ministry of Railways and is made publicly available in accordance with ADB’s public communications policy (2005). It does not necessarily reflect the views of ADB. The People’s Republic of China ADB Loan Lanzhou—Chongqing RAILWAY PROJECT EXTERNAL MONITORING & EVALUATION OF RESETTLEMENT ACTION PLAN Report No.1 Prepared by CIECC OVERSEAS CONSULTING CO.,LTD April 2010 Beijing 10 ADB LOAN EXTERNAL Monitoring Report– No. 1 TABLE OF CONTENTS PREFACE 4 OVERVIEW..................................................................................................................................................... 5 1. PROJECT BRIEF DESCRIPTION .......................................................................................................................7 2. PROJECT AND RESETTLEMENT PROGRESS ................................................................................................10 2.1 PROJECT PROGRESS ...............................................................................................................................10 2.2 LAND ACQUISITION, HOUSE DEMOLITION AND RESETTLEMENT PROGRESS..................................................10 3. MONITORING AND EVALUATION .................................................................................................................14 -
Table of Codes for Each Court of Each Level
Table of Codes for Each Court of Each Level Corresponding Type Chinese Court Region Court Name Administrative Name Code Code Area Supreme People’s Court 最高人民法院 最高法 Higher People's Court of 北京市高级人民 Beijing 京 110000 1 Beijing Municipality 法院 Municipality No. 1 Intermediate People's 北京市第一中级 京 01 2 Court of Beijing Municipality 人民法院 Shijingshan Shijingshan District People’s 北京市石景山区 京 0107 110107 District of Beijing 1 Court of Beijing Municipality 人民法院 Municipality Haidian District of Haidian District People’s 北京市海淀区人 京 0108 110108 Beijing 1 Court of Beijing Municipality 民法院 Municipality Mentougou Mentougou District People’s 北京市门头沟区 京 0109 110109 District of Beijing 1 Court of Beijing Municipality 人民法院 Municipality Changping Changping District People’s 北京市昌平区人 京 0114 110114 District of Beijing 1 Court of Beijing Municipality 民法院 Municipality Yanqing County People’s 延庆县人民法院 京 0229 110229 Yanqing County 1 Court No. 2 Intermediate People's 北京市第二中级 京 02 2 Court of Beijing Municipality 人民法院 Dongcheng Dongcheng District People’s 北京市东城区人 京 0101 110101 District of Beijing 1 Court of Beijing Municipality 民法院 Municipality Xicheng District Xicheng District People’s 北京市西城区人 京 0102 110102 of Beijing 1 Court of Beijing Municipality 民法院 Municipality Fengtai District of Fengtai District People’s 北京市丰台区人 京 0106 110106 Beijing 1 Court of Beijing Municipality 民法院 Municipality 1 Fangshan District Fangshan District People’s 北京市房山区人 京 0111 110111 of Beijing 1 Court of Beijing Municipality 民法院 Municipality Daxing District of Daxing District People’s 北京市大兴区人 京 0115 -
ECONOMIC GEOLOGY RESEARCH INSTITUTE HUGH ALLSOPP LABORATORY University of the Witwatersrand Johannesburg
2 ECONOMIC GEOLOGY RESEARCH INSTITUTE HUGH ALLSOPP LABORATORY University of the Witwatersrand Johannesburg ! GEOLOGICAL CHARACTERISTICS OF PGE-BEARING LAYERED INTRUSIONS IN SOUTHWEST SICHUAN PROVINCE, CHINA Y.YAO, M.J. VILJOEN, R.P. VILJOEN, A.H. WILSON, H. ZHONG, B.G. LIU, H.L. YING, G.Z. TU and N. LUO ! INFORMATION CIRCULAR No. 358 3 UNIVERSITY OF THE WITWATERSRAND JOHANNESBURG GEOLOGICAL CHARACTERISTICS OF PGE-BEARING LAYERED INTRUSIONS IN SOUTHWEST SICHUAN PROVINCE, CHINA by Y. YAO1, M. J. VILJOEN2, R. P. VILJOEN2, A. H. WILSON3, H. ZHONG1, B. G. LIU4, H. L. YING4, G. Z. TU4 AND Y. N. LUO5, ( 1 Economic Geology Research Institute, School of Geosciences, University of the Witwatersrand, P/Bag 3, WITS 2050, Johannesburg, South Africa; 2 Department of Geology and CAMEG, School of Geosciences, University of the Witwatersrand, P/Bag 3, WITS 2050, Johannesburg, South Africa; 3 Department of Geology and Applied Geology, University of Natal, King George V Avenue, Durban, 4001; 4 Institute of Geology and Geophysics, Chinese Academy of Sciences, P.O. Box 9825, Qijiahuozhi, Deshengmenwai, Beijing 100029, P.R. China; 5 Geological Exploration Bureau of Sichuan Province, Renminglu, Chengdu 610081, P.R. China) ECONOMIC GEOLOGY RESEARCH UNIT INFORMATION CIRCULAR No. 358 December 2001 4 GEOLOGICAL CHARACTERISTICS OF PGE-BEARING LAYERED INTRUSIONS IN SOUTHWEST SICHUAN PROVINCE, CHINA ABSTRACT A number of platinum-group-element (PGE-bearing), layered, ultramafic-mafic intrusions in the Pan-Xi and Danba areas of the southwest Sichuan Province of China have been investigated. The two study areas are located, respectively, in the central and northern parts of the Kangding Axis on the western margin of the Yangtze Platform, a region geologically distinguished by late- Archaean to late-Proterozoic basement and by stable sedimentary sequences. -
Annex 1 Hong Kong Special Administrative Region Government
Annex 1 Hong Kong Special Administrative Region Government Pre-selected Post-Sichuan Earthquake Restoration and Reconstruction Projects (First Batch) Duration Estimated Item Location Project Title Project Cost (month) (RMB 100m) Infrastructure Sub-total = 7.6560 A section of 303 Provincial Wenchuan County, 1 Road from Yingxiu to 24 7.6560 Aba Prefecture Wolong Education facilities Sub-total = 4.0981 Wenchuan County, Shuimo Secondary School 2 24 0.5570 Aba Prefecture in Wenchuan Cangxi County, Sichuan Cangxi Secondary 3 24 0.6523 Guangyuan School Santai County, Number 1 Secondary 4 24 0.7737 Mianyang School in Santai Jingyang District, Number 1 Primary School 5 24 0.1481 Deyang in Deyang Jingyang District, Huashan Road Primary 6 24 0.1604 Deyang School in Deyang Number 5 Secondary Jingyang District, 7 School Senior Secondary 24 1.8066 Deyang Section in Deyang Integrated social welfare facilities Sub-total = 1.3826 Chaotian District, Integrated social welfare 8 24 0.3384 Guangyuan services centre in Chaotian Yuanba District, Integrated social welfare 9 24 0.3168 Guangyuan services centre in Yuanba Youxian District, Integrated social welfare 10 24 0.2554 Mianyang services centre in Youxian Jingyang District, Integrated social welfare 11 24 0.4720 Deyang services centre in Deyang Duration Estimated Item Location Project Title Project Cost (month) (RMB 100m) Integrated social welfare facilities (cont.) Sub-total = 1.0269 Integrated social welfare Wangcang County, 12 services centre in 24 0.3744 Guangyuan Wangcang Cangxi County, Integrated -
Earthquake and Poverty with Chinese Characteristics Wenchuan Earthquake Affected Communities Ten Years After the Disaster
UNIVERSITY OF OSLO Earthquake and poverty with Chinese characteristics Wenchuan earthquake affected communities ten years after the disaster Dragana Grulovic Asia and Middle East Studies/Chinese Society and Politics KIN4593 – Master’s Thesis in Chinese Society and Politics (30 credits) Department of Culture Studies and Oriental Languages Spring 2019 Earthquake and poverty with Chinese characteristics Wenchuan earthquake affected communities ten years after the disaster © Dragana Grulovic 2019 Earthquake and poverty with Chinese characteristics - Wenchuan earthquake affected communities ten years after the disaster Dragana Grulovic https://www.duo.uio.no Print: Webergs Print Abstract In May 2008, China was struck by a massive earthquake that killed closed to 70,000 people. Communities were torn to the ground, and the economic losses were enormous. Ten years have passed since the massive forces took place, and communities and lives have been rebuilt, with some preceding their pre-disaster economic levels. This study applies survey data to estimate the poverty rates in the Wenchuan earthquake affected communities ten years after the disaster. I find that in 2018, the poverty incidence was 3% in the overall area, as compared to 9% before the earthquake. Of the total of 198 sampled communities, 27 reported having no government- designated poor people. However, 23 communities have a poverty prevalence of 10% or higher. These communities have few characteristics in common in terms of demographic structure and access to public services. About half of the communities are located in government-designated poor counties, while the rest are not. Altogether, the poverty situation in the Wenchuan earthquake affected area reflects the complexity of poverty in China. -
Evaluation of Mineral Resources Carrying Capacity Based on the Particle Swarm Optimization Clustering Algorithm S
Evaluation of mineral resources carrying capacity based on the particle swarm optimization clustering algorithm S. He1,2, D. Luo1, and K. Guo1 Affiliation: 1 College of Management Science, Geomathematics Synopsis Key Laboratory of Sichuan As minerals are a non-renewable resource, sustainability must be considered in their development Province, Chengdu University of and utilization. Evaluation of the mineral resources carrying capacity is necessary for the sustainable Technology, China. development of mineral resource-based regions. Following the construction of a comprehensive 2 Department of Computer evaluation index system from four aspects, namely resource endowment, socio-economic status, Science and Information environmental pollution, and ecological restoration, a method combining particle swarm optimization Engineering, Yibin University, China. (PSO) and the K-means algorithm (PSO-Kmeans) was used to evaluate the mineral resources carrying capacity of the Panxi region southwest Sichuan Province, China. The evaluation method is data-driven and does not consider the classification standards of different carrying capacity levels. At the same time, Correspondence to: it avoids the problems of local optimization and sensitivity to initial points of the K-means algorithm, [email protected] thereby providing more objective evaluation results and solving the problem of subjective division of each grade volume capacity in carrying capacity evaluation. The algorithm was verified through Email: UCI data-sets and virtual samples. By superimposing a single index on the carrying capacity map for analysis, the rationality of the evaluation results was validated. D. Luo Keywords Dates: particle swarm optimization, K-means algorithm , mineral resources, carrying capacity, sustainability. Received: 21 Feb. 2020 Revised: 7 Oct. 2020 Accepted: 24 Nov. -
A Study from the Perspectives of Shared Innovation
SUBGROUPING OF NISOIC (YI) LANGUAGES: A STUDY FROM THE PERSPECTIVES OF SHARED INNOVATION AND PHYLOGENETIC ESTIMATION by ZIWO QIU-FUYUAN LAMA Presented to the Faculty of the Graduate School of The University of Texas at Arlington in Partial Fulfillment of the Requirements for the Degree of DOCTOR OF PHILOSOPHY THE UNIVERSITY OF TEXAS AT ARLINGTON May 2012 Copyright © by Ziwo Qiu-Fuyuan Lama 2012 All Rights Reserved To my parents: Qiumo Rico and Omu Woniemo Who have always wanted me to stay nearby, but they have also wished me to go my own way! ACKNOWLEDGEMENTS The completion of this dissertation could not have happened without the help of many people; I own much gratitude to these people and I would take this moment to express my heartfelt thanks to them. First, I wish to express my deep thanks to my supervisor, Professor Jerold A Edmondson, whose guidance, encouragement, and support from the beginning to the final page of this dissertation. His direction showed me the pathway of the writing of this dissertation, especially, while working on chapter of phylogenetic study of this dissertation, he pointed out the way to me. Secondly, I would like to thank my other committee members: Dr. Laurel Stvan, Dr. Michael Cahill, and Dr. David Silva. I wish to thank you very much for your contribution to finishing this dissertation. Your comments and encouragement were a great help. Third, I would like to thank my language informants and other people who helped me during my field trip to China in summer 2003, particularly ZHANF Jinzhi, SU Wenliang, PU Caihong, LI Weibing, KE Fu, ZHAO Hongying, ZHOU Decai, SHI Zhengdong, ZI Wenqing, and ZUO Jun. -
The Overall Planning for Post Wenchuan Earthquake
Supplementary Appendix A 1 The Overall Planning for Post-Wenchuan Earthquake Restoration and Reconstruction Compilation Basis: Law of the People’s Republic of China on Protecting against and Mitigating Earthquake Disasters Regulations on Post-Wenchuan Earthquake Restoration and Reconstruction (the State Council No. 526) Guiding Opinions of the State Council on Post-Wenchuan Earthquake Restoration and Reconstruction (NDRC [2008] No.22) Compiling Units: Planning Group of Post-Wenchuan Earthquake Restoration and Reconstruction of the Earthquake Relief Headquarters under the Sate Council Group Leader: National Development and Reform Committee (NDRC) Co-leader: The People’s Government of Sichuan Province, Ministry of Housing and Urban-Rural Development (MOHURD) Group Members: The People’s Government of Shaanxi Province, People’s Government of Gansu Province, Ministry of Education, Ministry of Science and Technology, Ministry of Industry and Information Technology, State Ethnic Affairs Commission, Ministry of Public Security, Ministry of Civil Affairs, Ministry of Finance, Ministry of Human Resources and Social Security, Ministry of Land and Resources, Ministry of Environmental Protection, Ministry of Transport, Ministry of Railways, Ministry of Water Resources, Ministry of Agriculture, Ministry of Commerce, Ministry of Culture, Ministry of Health, National Population and Family Planning Commission, People’s Bank of China, State-owned Assets Supervision and Administration Commission, State Administration of Taxation, State Administration of