A Case Study of Shaanxi Province, China
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Documentof The World Bank FOR OFFMCIALUSE ONLY Public Disclosure Authorized ReportNo. P-4771-CHA MEMORANDUMAND RECOMMENDATION OF THE PRESIDENT OF THE INTERNATIONALBANK FOR RECONSTRUCTIONAND DEVELOPMENT TO THE EXECUTIVE DIRECTORS Public Disclosure Authorized ON A PROPOSEDLOAN IN AN AMOUNTEQUIVALENT TO US$50.0 MILLION TO THE PEOPLE'S REPUBLIC OF CHINA FOR THE SHAANXI PROVINCIAL HIGHWAYPROJECT Public Disclosure Authorized May 16, 1988 Public Disclosure Authorized This document has a restricted distribution and may be used by recipients only In the performance of their official duties. Its contents may not otherwise be disclosed without World Bank authorization. CURRENCYEQUIVALENTS (as of January 1988) Currency name 2 Renminbi Currency unit - Yuan (Y) = 100 Fen US$1.00 = Y 3.70 US$0.27 = Y 1.0 US$1.0 million = Y 3.7 million US$270,270 = Y 1.0 million FISCAL YEAR January 1 - December 31 WEIGHTS AND MEASURES 1 meter (m) = 3.28 feet (ft) 1 kilometer(km) = 0.62 mile (mi) 1 square meter (m2) = 10.76 square feet (ft2) 1 square kilometer (km2) = 0.4 squaremiles (mi ) 1 hectare (ha) = 0.01 km2 = 2.47 ac es (ac) = 15 mu 1 mu = 666.7 m' = 0.0667 ha 1 kilogram (kg) = 2.2046 pounds (lbs) 1 metric ton (m ton) = 2,204 pounds (lbs) ABBREVIATIONSAND ACRONYMS CAAC - Civil AviationAdministration of China ERR - Economic Rate of Return GOVAI - Gross output value of agricultureand industry HPDI - Highway Planningand Design Institute HSRI - Highway ScientificResearch Institute ICB - InternationalCompetitive Bidding ITC - InternationalTendering Corporation MOC -
Poverty Mapping in China: Do Environmental Variables Matter
UNIVERSITY OF WAIKATO Hamilton New Zealand Mapping Poverty in Rural China: How Much Does the Environment Matter? Susan Olivia University of California, Davis John Gibson University of Waikato Scott Rozelle Stanford University Jikun Huang and Xiangzheng Deng Chinese Academy of Sciences Department of Economics Working Paper in Economics 14/08 September 2008 Corresponding Author John Gibson Department of Economics University of Waikato, Private Bag 3105, Hamilton, New Zealand Fax: +64 (7) 838 4331 Email: [email protected] Abstract In this paper, we apply a recently developed small-area estimation technique to derive geographically detailed estimates of consumption-based poverty and inequality in rural Shaanxi, China. We also investigate whether using environmental variables derived mainly from satellite remote sensing improves upon traditional approaches that only use household survey and census data. According to our results, ignoring environmental variables in statistical analyses that predict small-area poverty rates leads to targeting errors. In other words, using environmental variables both helps more accurately identify poor areas (so they should be able to receive more transfers of poor area funds) and identify non-poor areas (which would allow policy makers to reduce poverty funds in these better off areas and redirect them to poor areas). Using area-based targeting may be an efficient way to reach the poor since many counties and townships in rural Shaanxi have low levels of inequality, even though, on average, there is more within-group than between-group inequality. Using information on locations that are, in fact, receiving poverty assistance, our analysis also produces evidence that official poverty policy in Shaanxi targets particular areas which in reality are no poorer than other areas that do not get targeted. -
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. -
Chinacoalchem
ChinaCoalChem Monthly Report Issue May. 2019 Copyright 2019 All Rights Reserved. ChinaCoalChem Issue May. 2019 Table of Contents Insight China ................................................................................................................... 4 To analyze the competitive advantages of various material routes for fuel ethanol from six dimensions .............................................................................................................. 4 Could fuel ethanol meet the demand of 10MT in 2020? 6MTA total capacity is closely promoted ....................................................................................................................... 6 Development of China's polybutene industry ............................................................... 7 Policies & Markets ......................................................................................................... 9 Comprehensive Analysis of the Latest Policy Trends in Fuel Ethanol and Ethanol Gasoline ........................................................................................................................ 9 Companies & Projects ................................................................................................... 9 Baofeng Energy Succeeded in SEC A-Stock Listing ................................................... 9 BG Ordos Started Field Construction of 4bnm3/a SNG Project ................................ 10 Datang Duolun Project Created New Monthly Methanol Output Record in Apr ........ 10 Danhua to Acquire & -
The Spreading of Christianity and the Introduction of Modern Architecture in Shannxi, China (1840-1949)
Escuela Técnica Superior de Arquitectura de Madrid Programa de doctorado en Concervación y Restauración del Patrimonio Architectónico The Spreading of Christianity and the introduction of Modern Architecture in Shannxi, China (1840-1949) Christian churches and traditional Chinese architecture Author: Shan HUANG (Architect) Director: Antonio LOPERA (Doctor, Arquitecto) 2014 Tribunal nombrado por el Magfco. y Excmo. Sr. Rector de la Universidad Politécnica de Madrid, el día de de 20 . Presidente: Vocal: Vocal: Vocal: Secretario: Suplente: Suplente: Realizado el acto de defensa y lectura de la Tesis el día de de 20 en la Escuela Técnica Superior de Arquitectura de Madrid. Calificación:………………………………. El PRESIDENTE LOS VOCALES EL SECRETARIO Index Index Abstract Resumen Introduction General Background........................................................................................... 1 A) Definition of the Concepts ................................................................ 3 B) Research Background........................................................................ 4 C) Significance and Objects of the Study .......................................... 6 D) Research Methodology ...................................................................... 8 CHAPTER 1 Introduction to Chinese traditional architecture 1.1 The concept of traditional Chinese architecture ......................... 13 1.2 Main characteristics of the traditional Chinese architecture .... 14 1.2.1 Wood was used as the main construction materials ........ 14 1.2.2 -
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 -
Preparing the Shaanxi-Qinling Mountains Integrated Ecosystem Management Project (Cofinanced by the Global Environment Facility)
Technical Assistance Consultant’s Report Project Number: 39321 June 2008 PRC: Preparing the Shaanxi-Qinling Mountains Integrated Ecosystem Management Project (Cofinanced by the Global Environment Facility) Prepared by: ANZDEC Limited Australia For Shaanxi Province Development and Reform Commission This consultant’s report does not necessarily reflect the views of ADB or the Government concerned, and ADB and the Government cannot be held liable for its contents. (For project preparatory technical assistance: All the views expressed herein may not be incorporated into the proposed project’s design. FINAL REPORT SHAANXI QINLING BIODIVERSITY CONSERVATION AND DEMONSTRATION PROJECT PREPARED FOR Shaanxi Provincial Government And the Asian Development Bank ANZDEC LIMITED September 2007 CURRENCY EQUIVALENTS (as at 1 June 2007) Currency Unit – Chinese Yuan {CNY}1.00 = US $0.1308 $1.00 = CNY 7.64 ABBREVIATIONS ADB – Asian Development Bank BAP – Biodiversity Action Plan (of the PRC Government) CAS – Chinese Academy of Sciences CASS – Chinese Academy of Social Sciences CBD – Convention on Biological Diversity CBRC – China Bank Regulatory Commission CDA - Conservation Demonstration Area CNY – Chinese Yuan CO – company CPF – country programming framework CTF – Conservation Trust Fund EA – Executing Agency EFCAs – Ecosystem Function Conservation Areas EIRR – economic internal rate of return EPB – Environmental Protection Bureau EU – European Union FIRR – financial internal rate of return FDI – Foreign Direct Investment FYP – Five-Year Plan FS – Feasibility -
Tentative Itinerary for China Trip (Dates and Locations May Slightly Change)
Tentative Itinerary for China Trip (dates and locations may slightly change) May 14-15(Day 1-2)Enter Beijing Upon arrival in Beijing, your local tour guide will meet you at the airport and accompany you to the hotel. Tasting Peking duck at a group welcome dinner. May 16 (Day 3) Beijing Visit Tiananmen Square and Forbidden City in the morning. After lunch, visit the Summer Palace and enjoy a boat ride on the lake. Evening acrobatic show back in the city. May 17 (Day 4) Beijing Morning lecture. Visit 798 Art District in the afternoon. 798 has become the premier exhibition center in Beijing for Chinese modern art and sculpture. Possible late- afternoon tour of the Dandelion School, a special NGO for rural migrant children. May 18 (Day 5) Beijing Whole day visit to famous Mutianyua section of Great Wall. Visit Wangfujing Street and night market in the evening. May 19 (Day 6) Beijing/Xian Visit a traditional tea house and try different teas as well as look at tea pots. Take a high-speed train to Xian and check in a hotel. May 20 (Day 7) Xian Today’s highlight is the Terracotta Warriors and Bronze Chariots, designed for the tomb of China’s first emperor – Qinshihuang. Thousands of life size warriors and horses still stand on the original site in military formation at the emperor’s burial complex. Visit Shannxi Historical Museum in the afternoon and experience the city’s interactive water fountain show in the evening. May 21 (Day 8) Xian Bike ride atop the Old City Wall in the morning, with a few hours afternoon lecture. -
Study on Carbon Sequestration Benefit of Converting Farmland to Forest in Yan’An
E3S Web of Conferences 275, 02005 (2021) https://doi.org/10.1051/e3sconf/202127502005 EILCD 2021 Study on Carbon Sequestration Benefit of Converting Farmland to Forest in Yan’an Zhou M.C1, Han H.Z1*, Yang X.J1, Chen C1 1School of Tourism & Research Institute of Human Geography, Xi’an International Studies University, Xi’an, China Abstract. This paper takes Yan'anas the study area, analyses the current situation of the policy, calculates the carbon sequestration value by using the afforestation area and woodland area in Yanan in 2019, and explores its carbon emission trading potential. The conclusions are as follows: (1) the amount of carbon sequestration increased by 203575.5 t due to the afforestation in 2019 in Yan'an. The green economy income of Yan'an can be increased by 5.8528 million RMB, because of it. The carbon sequestration value of total woodland is 120 million RMB, which can increase the forestry output value of Yan'an by 19.32%. (2) The new carbon sequestration benefit of northern area is higher than that of southern area in Yan’an; the highest carbon sequestration benefit of returning farmland to forest isWuqi County’s 35307.29t, and its value is 1.015 million RMB, it can be increased by 0.15% of the green economy income. (3) The industrial counties Huangling County and Huanglong County, the industrial counties Luochuan County and Yichuan County carry out carbon trading respectively, under the condition of ensuring the output value of the secondary industry in the industrial county, it can increase the green economy income of the total output value of Huanglong County and Yichuan County by 0.73% respectively. -
E-Commerce Poverty Alleviation Experience in Shaanxi Province
Best Practice on the Inclusive Trade of the APEC Region Xi’an Experience in E-commerce Poverty Alleviation APEC E-Commerce Business Alliance December 4, 2018 Contents Preface ........................................................................................................................... 2 E-commerce Poverty Alleviation Experience in Shaanxi Province ......................... 5 1. Do a Good Job in Design and Work in an All-round Way .................................. 5 2. Lay a Solid Foundation and Create a Good Environment .................................. 5 3. Bring in Competitive Enterprises to Lead E-commerce Poverty Alleviation ..... 6 4. Coordinate Production and Marketing to Promote Connectivity between Agriculture and Commerce ..................................................................................... 6 5. Conduct Personnel Training and Strengthen the Service System ....................... 6 6. Innovate the Business Modes.............................................................................. 7 Typical Cases of E-commerce Poverty Alleviation in Shaanxi Province ................ 9 1. Lantian County, Xi’an City .............................................................................. 9 2. Yaozhou District, Tongchuan City ................................................................. 12 3. Ankang City ................................................................................................... 14 4. Huinong E-commerce Co., Ltd. .................................................................... -
Spatial and Temporal Characteristics of Soil Conservation Service in the Area of the Upper and Middle of the Yellow River, China
Heliyon 5 (2019) e02985 Contents lists available at ScienceDirect Heliyon journal homepage: www.cell.com/heliyon Research article Spatial and temporal characteristics of soil conservation service in the area of the upper and middle of the Yellow River, China Mingyong Zhu a, Wenming He b, Quanfa Zhang c, Yongzhu Xiong a, Shuduan Tan d, Hongming He e,* a School of Geography and Tourism, Jiaying University, Meizhou, 514015, Guangdong, China b School of Chemistry and Environment, Jiaying University, Meizhou, 514015, Guangdong, China c Key Laboratory of Aquatic Botany and Watershed Ecology, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, 430074, China d College of Architecture and Urban Planning, Hunan City University, Yiyang, 413000, China e State Key Laboratory of Soil Erosion and Dryland Farming on Loess Plateau, Northwest of Agriculture & Forestry University, Institute of Soil and Water Conservation; Chinese Academy of Sciences & Ministry of Water Resources, Yangling, 712100, Shaanxi, China ARTICLE INFO ABSTRACT Keywords: Soil erosion is an important environmental problem in the area of the upper and middle of the Yellow River Ecology (AUMYR), China, one of the most severe soil erosion areas in the world. It is significantly influences on the Environmental science ecological security and sustainable development of the region. Soil conservation (SC) service, as one of the most USLE important regulating services provided by ecosystems, can alter soil and water processes and improve ecosystem Ecosystem service services that ensure human welfare. Investigations of spatial and temporal characteristics of SC service play The area of the upper and middle of the Yellow River (AUMYR) important roles in soil erosion control and ecosystem protection in AUMYR. -
Analysis of Rural Women's Economic Participation in Shaanxi Province, China: Preliminary Results and Insights Mei Yang Allan R
Analysis of Rural Women’s Economic Participation in Shaanxi Province, China: Preliminary Results and Insights Mei Yang Allan Rae David Tripe Martin Young Huiyan Zhao School of Economics and Finance, Massey University ABSTRACT China has made significant progress in economic reform. This has entailed large scale migration and urbanization, but there is an accompanying problem of position of women in agricultural production in rural areas. To explore this, the study examines rural women’s barriers and potential in economic participation in Shaanxi province through a survey of 356 rural women including both those engaging in farming and off-farming activities from three regions of Shaanxi with different developing characteristics. We use a mixed research methodology with both qualitative and quantitative elements. Unlike a handful of previous relevant studies, the collection of primary data allows a more in depth and systematic analysis of the current situation of rural women and the barriers they are facing. Preliminary results indicate that the situation of rural women in China presents a range of characteristics due to political factors, geographical location, low education attainment, and their role as care-providers. The results presented here here is mainly concerning the part of rural women engaging in farming. 1. Introduction Over the last three decades, China’s industrialization and urbanization have been on an unprecedented scale(Bank, 2014): Around 250 million migrants have moved to cities from rural areas (NBSC, 2012) in supporting the country’s rapid economic growth which has averaged around 10% annually. Meanwhile, starting from 2000, the number of left-behind rural women1 or using a specific term in Chinese, Liushou women has increased sharply and it still increases each year.