The Effect of Beijing-Shanghai High-Speed Railway on the Economic Development of Prefecture-Level Cities Along the Line Based on DID Model
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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. -
Remote Sensing Analysis of the Status of the Beijing-Hangzhou Grand Canal
REMOTE SENSING ANALYSIS OF THE STATUS OF THE BEIJING-HANGZHOU GRAND CANAL B. Deng H. Guo , C. Wang , Y. Nie, The Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing, China - [email protected] Commission VI, WG V/2 KEY WORDS: Image interpretation, Image understanding, Feature detection, Archaeology ABSTRACT: Remote sensing began with the use of aerial photography and is acknowledged as a valuable tool for viewing, analyzing, characterizing, and making decisions about our environment. The Grand Canal of China is the longest ancient canal in the world and recently approved as the Key National Relics-preservation Unit. In our work multi-source and multi-temporal remote sensing data, including the aerial photographs taken half a century ago and the recently acquired SPOT5 multispectral images and the RADARSAT-1 images are collected. Through a comparative and complementary analysis of the data sets, some findings are given. The general characteristics of the canal course and the canal cities are also described, which provides important information for the making plans of the Grand Canal preservation. 1. INTRODUCTION can provide radar images at the spatial resolution of 1 meter. The fourth advantage is the high spectral resolution. Now the Remote sensing, in the broadest sense, is the short or large-scale hyperspectral sensor can acquire image at hundreds of channels acquisition of information of an object or phenomenon, by the simultaneously, which can grasp the small changes of use of either recording or real-time sensing device(s) that is not reflectance and make possible the discrimination of some in physical or intimate contact with the object (such as by way targets. -
Appendix 1: Rank of China's 338 Prefecture-Level Cities
Appendix 1: Rank of China’s 338 Prefecture-Level Cities © The Author(s) 2018 149 Y. Zheng, K. Deng, State Failure and Distorted Urbanisation in Post-Mao’s China, 1993–2012, Palgrave Studies in Economic History, https://doi.org/10.1007/978-3-319-92168-6 150 First-tier cities (4) Beijing Shanghai Guangzhou Shenzhen First-tier cities-to-be (15) Chengdu Hangzhou Wuhan Nanjing Chongqing Tianjin Suzhou苏州 Appendix Rank 1: of China’s 338 Prefecture-Level Cities Xi’an Changsha Shenyang Qingdao Zhengzhou Dalian Dongguan Ningbo Second-tier cities (30) Xiamen Fuzhou福州 Wuxi Hefei Kunming Harbin Jinan Foshan Changchun Wenzhou Shijiazhuang Nanning Changzhou Quanzhou Nanchang Guiyang Taiyuan Jinhua Zhuhai Huizhou Xuzhou Yantai Jiaxing Nantong Urumqi Shaoxing Zhongshan Taizhou Lanzhou Haikou Third-tier cities (70) Weifang Baoding Zhenjiang Yangzhou Guilin Tangshan Sanya Huhehot Langfang Luoyang Weihai Yangcheng Linyi Jiangmen Taizhou Zhangzhou Handan Jining Wuhu Zibo Yinchuan Liuzhou Mianyang Zhanjiang Anshan Huzhou Shantou Nanping Ganzhou Daqing Yichang Baotou Xianyang Qinhuangdao Lianyungang Zhuzhou Putian Jilin Huai’an Zhaoqing Ningde Hengyang Dandong Lijiang Jieyang Sanming Zhoushan Xiaogan Qiqihar Jiujiang Longyan Cangzhou Fushun Xiangyang Shangrao Yingkou Bengbu Lishui Yueyang Qingyuan Jingzhou Taian Quzhou Panjin Dongying Nanyang Ma’anshan Nanchong Xining Yanbian prefecture Fourth-tier cities (90) Leshan Xiangtan Zunyi Suqian Xinxiang Xinyang Chuzhou Jinzhou Chaozhou Huanggang Kaifeng Deyang Dezhou Meizhou Ordos Xingtai Maoming Jingdezhen Shaoguan -
The Asymmetric Pattern of Population Mobility During
International Journal of Geo-Information Article The Asymmetric Pattern of Population Mobility during the Spring Festival in the Yangtze River Delta Based on Complex Network Analysis: An Empirical Analysis of “Tencent Migration” Big Data Jinping Lin 1,2 , Kangmin Wu 3,4,5, Shan Yang 1,2,* and Qianqian Liu 1,2 1 School of Geography, Nanjing Normal University, Nanjing 210023, China; [email protected] (J.L.); [email protected] (Q.L.) 2 Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China 3 Key Laboratory of Guangdong for Utilization of Remote Sensing and Geographical Information System, Guangdong Open Laboratory of Geospatial Information Technology and Application, Guangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou 510070, China; [email protected] 4 Institute of Strategy Research for Guangdong, Hong Kong and Macao Greater Bay Area, Guangzhou 510070, China 5 Southern Marine Science and Engineering Guangdong Laboratory, Guangzhou 511458, China * Correspondence: [email protected] Abstract: Population mobility patterns are an important reflection of the future distribution of migrant populations and the evolution trends of urbanization patterns. However, although research Citation: Lin, J.; Wu, K.; Yang, S.; Liu, based on statistical data can reveal the pattern of population flow, it also shows a time lag. Most Q. The Asymmetric Pattern of of the population flow network research based on location services data has failed to fully discuss Population Mobility during the the symmetry of directional outflows and inflows in the same place and the two-way symmetrical Spring Festival in the Yangtze River connections between places. -
Impact Stories from the People's Republic of China: Partnership For
Impact Stories from the People’s Republic of China Partnership for Prosperity Contents 2 Introduction Bridges Bring Boom 4 By Ian Gill The phenomenal 20% growth rate of Shanghai’s Pudong area is linked to new infrastructure— and plans exist to build a lot more. Road to Prosperity 8 By Ian Gill A four-lane highway makes traveling faster, cheaper, and safer—and brings new economic opportunities. On the Right Track 12 By Ian Gill A new railway and supporting roads have become a lifeline for one of the PRC’s poorest regions. Pioneering Project 16 By Ian Gill A model build–operate–transfer water project passes its crucial first test as the PRC encourages foreign-financed deals. Reviving a Historic Waterway 20 By Ian Gill Once smelly and black with pollution, a “grandmother” river is revived in Shanghai. From Waste to Energy 24 By Lei Kan Technology that can turn animal waste into gas is changing daily life for the better in rural PRC. From Pollution to Solution 28 By Lei Kan A project that captures and uses methane that would otherwise be released into the atmosphere during the mining process is set to become a model for thousands of coal mines across the PRC. Saving Sanjiang Wetlands 35 By Lei Kan A massive ecological preservation project is fighting to preserve the Sanjiang Plain wetlands, home to some of the richest biodiversity in the PRC . From Clean Water to Green Energy 38 By Lei Kan Two new hydropower plants in northwest PRC are providing clean, efficient energy to rural farming and herding families. -
Pioneering the Application of High Speed Rail Express Trainsets in the United States
Parsons Brinckerhoff 2010 William Barclay Parsons Fellowship Monograph 26 Pioneering the Application of High Speed Rail Express Trainsets in the United States Fellow: Francis P. Banko Professional Associate Principal Project Manager Lead Investigator: Jackson H. Xue Rail Vehicle Engineer December 2012 136763_Cover.indd 1 3/22/13 7:38 AM 136763_Cover.indd 1 3/22/13 7:38 AM Parsons Brinckerhoff 2010 William Barclay Parsons Fellowship Monograph 26 Pioneering the Application of High Speed Rail Express Trainsets in the United States Fellow: Francis P. Banko Professional Associate Principal Project Manager Lead Investigator: Jackson H. Xue Rail Vehicle Engineer December 2012 First Printing 2013 Copyright © 2013, Parsons Brinckerhoff Group Inc. All rights reserved. No part of this work may be reproduced or used in any form or by any means—graphic, electronic, mechanical (including photocopying), recording, taping, or information or retrieval systems—without permission of the pub- lisher. Published by: Parsons Brinckerhoff Group Inc. One Penn Plaza New York, New York 10119 Graphics Database: V212 CONTENTS FOREWORD XV PREFACE XVII PART 1: INTRODUCTION 1 CHAPTER 1 INTRODUCTION TO THE RESEARCH 3 1.1 Unprecedented Support for High Speed Rail in the U.S. ....................3 1.2 Pioneering the Application of High Speed Rail Express Trainsets in the U.S. .....4 1.3 Research Objectives . 6 1.4 William Barclay Parsons Fellowship Participants ...........................6 1.5 Host Manufacturers and Operators......................................7 1.6 A Snapshot in Time .................................................10 CHAPTER 2 HOST MANUFACTURERS AND OPERATORS, THEIR PRODUCTS AND SERVICES 11 2.1 Overview . 11 2.2 Introduction to Host HSR Manufacturers . 11 2.3 Introduction to Host HSR Operators and Regulatory Agencies . -
EDUCATION in CHINA a Snapshot This Work Is Published Under the Responsibility of the Secretary-General of the OECD
EDUCATION IN CHINA A Snapshot This work is published under the responsibility of the Secretary-General of the OECD. The opinions expressed and arguments employed herein do not necessarily reflect the official views of OECD member countries. This document and any map included herein are without prejudice to the status of or sovereignty over any territory, to the delimitation of international frontiers and boundaries and to the name of any territory, city or area. Photo credits: Cover: © EQRoy / Shutterstock.com; © iStock.com/iPandastudio; © astudio / Shutterstock.com Inside: © iStock.com/iPandastudio; © li jianbing / Shutterstock.com; © tangxn / Shutterstock.com; © chuyuss / Shutterstock.com; © astudio / Shutterstock.com; © Frame China / Shutterstock.com © OECD 2016 You can copy, download or print OECD content for your own use, and you can include excerpts from OECD publications, databases and multimedia products in your own documents, presentations, blogs, websites and teaching materials, provided that suitable acknowledgement of OECD as source and copyright owner is given. All requests for public or commercial use and translation rights should be submitted to [email protected]. Requests for permission to photocopy portions of this material for public or commercial use shall be addressed directly to the Copyright Clearance Center (CCC) at [email protected] or the Centre français d’exploitation du droit de copie (CFC) at [email protected]. Education in China A SNAPSHOT Foreword In 2015, three economies in China participated in the OECD Programme for International Student Assessment, or PISA, for the first time: Beijing, a municipality, Jiangsu, a province on the eastern coast of the country, and Guangdong, a southern coastal province. -
Trends in China Facts from the Renewables in Cities 2021 Global Status Report
Embargoed until: 09:30 CET Paris Time – 18 March 2021 Trends in China Facts from the Renewables in Cities 2021 Global Status Report Key Renewable Energy Takeaways in 2020 from China • China is the greatest market in the world for solar PV1, with many of these developments taking place in urban areas and helping to decarbonise energy use in buildings; however, further efforts are needed to increase the share of renewables across sectors, including heating and cooling, but also power – especially in light of the expansion of e-mobility2. • The electrification of all transport modes has been pioneered in Chinese cities; they are visibly committed to the national EV ambition, providing complementary municipal-level subsidies (in addition to national incentives) for battery electric and fuel cell electric vehicles. • China is the second-largest producer of district heating (DH) in the world, and although these systems rely almost entirely on fossil fuels, some cities have been increasing solar thermal and geothermal heating capacity and use in their DH networks. Brand new data shows • Only 25 cities had renewable energy targets and/or policies from a global total of over 1,300 cities). This covers 321 million people, 38% of the urban population in China • On a global scale, Chinese cities are lagging behind on setting net-zero3 targets: some notable exceptions exist: 6 cities were developing net-zero targets in 2020, and Dalian set a target to achieve net-zero by 2050. Rizhao has had a target for climate neutrality by 2050 since 2008. Renewable Energy Developments in Chinese Cities City renewable energy commitments and policies • Most city-level targets and actions are in line with (and often part of the implementation of) national-level policy, including China’s commitment to reach carbon neutrality by 2060. -
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. -
China-Singapore Jilin Food Zone Project Signed in Beijing
About Home News Topic Leadership Government Investment Travel Living Community Jilin Home>Topic>Special Report>The Eighth Northeast Asia Expo T T T Special Report China-Singapore Jilin Food Zone project signed in Beijing read_image.jpg Travel Guide On the afternoon of September 6, the China-Singapore Jilin Food Zone project signing ceremony was held in the Great Hall of the People in Beijing. Premier Wen Jiabao and Singapore Prime Minister Lee Hsien Loong attended the signing ceremony. Governor Wang Rulin and President of Singapore Temasek Holdings Kohl signed the Framework Agreement on Cooperation in Multiple Fields. Leaders from Chinese Ministry of Foreign Affairs, the Development and Reform Comm ission, the Ministry of Commerce, the Ministry of Housing and Urban and Rural Const ruction, and Singapore Ministry of Foreign Affairs, Ministry of National Development Cooperation , Ministry of Trade and Industry and other ministries and other leaders from the minis Laws & tries of the two countries, as well as Chief Executive of Singapore Temasek Holdings Regulations Ho Ching, Chairman of Singapore Starbridge Holdings (Private) Limited Wong Kan Se Business Help ng, Singapore Temasek Holdings Consultant and Keppel Group Chairman Lee Boon Ya Festival Exhibition ng, Singapore Starbridge Holdings (Private) Limited CE0 Chong Phit Lian and other Si ngapore enterprise executives attended the ceremony. According to the Framework Agreement on Cooperation in Multiple Fields, China and Singapore will achieve comprehensive cooperation in various fields -
Low Carbon Development Roadmap for Jilin City Jilin for Roadmap Development Carbon Low Roadmap for Jilin City
Low Carbon Development Low Carbon Development Roadmap for Jilin City Roadmap for Jilin City Chatham House, Chinese Academy of Social Sciences, Energy Research Institute, Jilin University, E3G March 2010 Chatham House, 10 St James Square, London SW1Y 4LE T: +44 (0)20 7957 5700 E: [email protected] F: +44 (0)20 7957 5710 www.chathamhouse.org.uk Charity Registration Number: 208223 Low Carbon Development Roadmap for Jilin City Chatham House, Chinese Academy of Social Sciences, Energy Research Institute, Jilin University, E3G March 2010 © Royal Institute of International Affairs, 2010 Chatham House (the Royal Institute of International Affairs) is an independent body which promotes the rigorous study of international questions and does not express opinion of its own. The opinions expressed in this publication are the responsibility of the authors. All rights reserved. No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical including photocopying, recording or any information storage or retrieval system, without the prior written permission of the copyright holder. Please direct all enquiries to the publishers. Chatham House 10 St James’s Square London, SW1Y 4LE T: +44 (0) 20 7957 5700 F: +44 (0) 20 7957 5710 www.chathamhouse.org.uk Charity Registration No. 208223 ISBN 978 1 86203 230 9 A catalogue record for this title is available from the British Library. Cover image: factory on the Songhua River, Jilin. Reproduced with kind permission from original photo, © Christian Als, -
The Regeneration of Millennium Ancient City by Beijing-Hangzhou
TANG LEI, QIU JIANJUN, ‘FLOWING’: The Regeneration of Millennium ancient city , 47 th ISOCARP Congress 2011 ‘FLOWING’: The Regeneration of Millennium ancient city by Beijing-Hangzhou Grand Canal ——Practice in Suqian, Jiangsu, China 1 The Millennium ancient city - Suqian Overview 1.1 City Impression Suqian, A millennium ancient city in China, Great Xichu Conqueror Xiangyu's hometown, Birthplace of Chuhan culture, Layers of ancient cities buried. Yellow River (the National Mother River 5,464km) and Beijing-Hangzhou Grand Canal (the National Wisdom River 1794km, declaring the World Cultural Heritage) run through it. With Luoma, Hongze Lake, it has "Two Rivers Two Lakes" unique spatial characteristics. Nowadays Suqian is meeting the challenge of leapfrog development and ‘Livable Cities’ transformation.The city area is 8555 square kilometers and the resident population is 4,725,100. In 2009 its GDP was RMB 82.685 billion, per capita GDP was RMB 1.75 million. It’s industrial structure is19.3:46.3:34.4, level of urbanization is 37.7% 1.2 Superiority Evaluation (1) industrial structure optimized continuously, overall strength increased significantly. (2) people's lives condition Improved. Urban residents per capita disposable income was 12000, increased 11.6% per year; Farmer’s per capita net income was 6,000, increased 8.9% per year. (3) City’s carrying capacity has improved significantly. infrastructure had remarkable results; the process of industrialization and urbanization process accelerated. (4) Good ecological environment. Good days for 331 days, good rate is 90.4%. (5) Profound historical accumulation. the ancient city, the birthplace of Chu and Han culture, the history of mankind living fossil 1.3 Development Opportunities (1) Expansion of the Yangtze River Delta.