Government Institutions and the Dynamics of Urban Growth in China Working Paper WP18AR1
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Multi-Scale Analysis of Green Space for Human Settlement Sustainability in Urban Areas of the Inner Mongolia Plateau, China
sustainability Article Multi-Scale Analysis of Green Space for Human Settlement Sustainability in Urban Areas of the Inner Mongolia Plateau, China Wenfeng Chi 1,2, Jing Jia 1,2, Tao Pan 3,4,5,* , Liang Jin 1,2 and Xiulian Bai 1,2 1 College of resources and Environmental Economics, Inner Mongolia University of Finance and Economics, Inner Mongolia, Hohhot 010070, China; [email protected] (W.C.); [email protected] (J.J.); [email protected] (L.J.); [email protected] (X.B.) 2 Resource Utilization and Environmental Protection Coordinated Development Academician Expert Workstation in the North of China, Inner Mongolia University of Finance and Economics, Inner Mongolia, Hohhot 010070, China 3 College of Geography and Tourism, Qufu Normal University, Shandong, Rizhao 276826, China 4 Department of Geography, Ghent University, 9000 Ghent, Belgium 5 Land Research Center of Qufu Normal University, Shandong, Rizhao 276826, China * Correspondence: [email protected]; Tel.: +86-1834-604-6488 Received: 19 July 2020; Accepted: 18 August 2020; Published: 21 August 2020 Abstract: Green space in intra-urban regions plays a significant role in improving the human habitat environment and regulating the ecosystem service in the Inner Mongolian Plateau of China, the environmental barrier region of North China. However, a lack of multi-scale studies on intra-urban green space limits our knowledge of human settlement environments in this region. In this study, a synergistic methodology, including the main process of linear spectral decomposition, vegetation-soil-impervious surface area model, and artificial digital technology, was established to generate a multi-scale of green space (i.e., 15-m resolution intra-urban green components and 0.5-m resolution park region) and investigate multi-scale green space characteristics as well as its ecological service in 12 central cities of the Inner Mongolian Plateau. -
Service Summary
COSCO SHIPPING TRANSPACIFIC SERVICE OVERVIEW Service Summary 23 SERVICE LINES cover 161 PORT PAIRS since 1st. April, 2017 * Including COSCO SHIPPING Out-Alliance Service Lines PSW/PNW/AWE SERVICE LINE OVERVIEW PSW Service Summary 12 Far-east to Southwest Coast of America Service lines Cover 61 Port Pairs CEN (COSCO)* AAC (COSCO) AAC2 (CMA+EMC) AAC3 (COSCO+WHL+PIL)** AAC4 (OOCL) Service 6 X 10000 6 X 10000 6 X 9000 6 X 8500 5 X 7800 Port ETB Port ETB Port ETB Port ETB Port ETB XINGANG 0 DALIAN 0 QINGDAO 0 QINGDAO 0 NINGBO 0 QINGDAO 3 LIANYUNGANG 1 SHANGHAI 2 SHANGHAI 2 SHANGHAI 1 SHANGHAI 5 SHANGHAI 4 NINGBO 4 NINGBO 3 PUSAN 4 Port Load of Port NINGBO 6 PRINCE RUPERT 17 LONG BEACH 20 LONG BEACH 18 LONG BEACH 17 LONG BEACH 16 LONG BEACH 22 SEATTLE 28 OAKLAND 23 OAKLAND 22 PUSAN 33 OAKLAND 27 DALIAN 42 TOKYO 38 QINGDAO 42 NINGBO 35 XINGANG 42 NAGOYA 39 QINGDAO 42 Port Discharge of Port *The details of all the services will be optimized further. ** COSCO SHIPPING’s Out-Alliance Service Lines PSW Service Summary 12 Far-east to Southwest Coast of America Service lines Cover 61 Port Pairs AAS (OOCL) AAS2 (CMA) AAS3 (EMC) AAS4 (EMC) Service 6 X 9000 6 X 14000 6 X 6500 6 X 7000 Port ETB Port ETB Port ETB Port ETB CAI MEP 0 FUQING 0 TAIPEI 0 YANTIAN 0 SHEKOU 3 NANSHA 2 XIAMEN 3 HONG KONG 1 HONG KONG 3 HONG KONG 3 SHEKOU 4 KAOHSIUNG 3 Port of Load Port YANTIAN 4 YANTIAN 4 YANTIAN 5 TAIPEI 4 KAOHSIUNG 6 XIAMEN 6 LONG BEACH 19 LONG BEACH 20 LONG BEACH 20 LONG BEACH 18 KAOHSIUNG 38 OAKLAND 25 OAKLAND 24 OAKLAND 22 CAI MEP 42 FUQING 42 TAIPEI 42 -
Taiwan and China's Cross-Strait Relations" (2018)
The University of San Francisco USF Scholarship: a digital repository @ Gleeson Library | Geschke Center Master's Projects and Capstones Theses, Dissertations, Capstones and Projects Spring 5-18-2018 Contending Identities: Taiwan and China's Cross- Strait Relations Jing Feng [email protected] Follow this and additional works at: https://repository.usfca.edu/capstone Recommended Citation Feng, Jing, "Contending Identities: Taiwan and China's Cross-Strait Relations" (2018). Master's Projects and Capstones. 777. https://repository.usfca.edu/capstone/777 This Project/Capstone is brought to you for free and open access by the Theses, Dissertations, Capstones and Projects at USF Scholarship: a digital repository @ Gleeson Library | Geschke Center. It has been accepted for inclusion in Master's Projects and Capstones by an authorized administrator of USF Scholarship: a digital repository @ Gleeson Library | Geschke Center. For more information, please contact [email protected]. 1 Contending Identities: Taiwan and China’s Cross-Strait Relationship Jing Feng Capstone Project APS 650 Professor Brian Komei Dempster May 15, 2018 2 Abstract Taiwan’s strategic geopolitical position—along with domestic political developments—have put the country in turmoil ever since the post-Chinese civil war. In particular, its antagonistic, cross-strait relationship with China has led to various negative consequences and cast a spotlight on the country on the international diplomatic front for close to over six decades. After the end of the Cold War, the democratization of Taiwan altered her political identity and released a nation-building process that was seemingly irreversible. Taiwan’s nation-building efforts have moved the nation further away from reunification with China. -
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sustainability Article Efficiency Loss and Intensification Potential of Urban Industrial Land Use in Three Major Urban Agglomerations in China Xiangdong Wang 1,2,3,* , Xiaoqiang Shen 1,2 and Tao Pei 3 1 College of Management, Lanzhou University, Lanzhou 730000, China; [email protected] 2 Institute for Studies in County Economy Development, Lanzhou University, Lanzhou 730000, China 3 Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; [email protected] * Correspondence: [email protected] Received: 24 December 2019; Accepted: 20 February 2020; Published: 22 February 2020 Abstract: In recent decades, efficiency and intensification have emerged as hot topics within urban industrial land use (UILU) studies in China. However, the measurement and analysis of UILU efficiency and intensification are not accurate and in-depth enough. The study of UILU efficiency loss and intensification potential and their relationship is still lacking, and the application of parametric methods with clearer causal mechanisms is insufficient. This paper argued that the intensification potential of UILU could be defined as the amount of saved land or output growth resulting from reduced efficiency loss of UILU. Accordingly, we constructed quantitative models for measuring and evaluating the intensification potential of UILU, using the stochastic frontier analysis (SFA) method to calculate efficiency loss in three major urban agglomerations (38 cities) in China. Our results revealed a large scale and an expanding trend in the efficiency loss and intensification potential of UILU in three major urban agglomerations in China. From 2003 to 2016, the annual efficiency loss of UILU was 31.56%, the annual land-saving potential was 979.98 km2, and the annual output growth potential was 8775.23 billion Yuan (referring to the constant price for 2003). -
Overview of Hainan Province
Overview of Hainan Province Geographical Location Situated at the southernmost tip of China, Hainan sees Guangdong across the Qiongzhou Strait to the north, Vietnam across theBeibu Bay to the west and Taiwanacross theSouth China Sea to the east. Its neighbors in the South China Sea include the Philippines, Brunei and Malaysia in the southeast and south. The jurisdiction of Hainan covers Hainan Island, theXisha (Paracel) Islands, theZhongsha (Macclesfield) Islands and the Nansha (Spratly) Islands as well as the surrounding maritime areas, making it the largest province in China in terms of area. Hainan covers a land area (mainly including Hainan Island and Xisha, Zhongsha and NanshaIslands) of 35,400 square km (that of Hainan Island reaching 33,900 square km) and has a maritime area of about 2 million square km. With the outline like an oval snow pear, Hainan Island has a total area of 33,900 square km (excluding the satellite islands), the second largest island only next to Taiwan Island. Qiongzhou Strait, located between Hainan Island and Leizhou Peninsula of Guangdong Province is about 18-nautical-mile wide; while Zengmu Ansha in Nansha Islands is the southernmost territory of China. Administrative Divisions By September 2015, Hainan Province had 27 cities and counties (districts), including four prefectural cities, five county-level cities, four counties, six autonomous counties, eight districts, and 21 townships, 175 towns and 22 sub-district offices (totaling 218). Cities at the prefectural level: Haikou, Sanya, Sansha and Danzhou Cities at the county level: Wuzhishan, Wenchang, Qionghai, Wanningand Dongfang Counties: Ding’an, Tunchang, Chengmai and Lingao Autonomous Counties: Baisha Li Autonomous County, Changjiang Li Autonomous County, Ledong Li Autonomous County, Lingshui Li Autonomous County, Baoting Li and Miao Autonomous County and Qiongzhong Li and Miao Autonomous County Population Calculated according to a sample survey on population changes, the birth rate of the province reached 14.57‰, death rate6.00‰, andnatural growth rate8.57‰in 2015. -
Changchun–Harbin Expressway Project
Performance Evaluation Report Project Number: PPE : PRC 30389 Loan Numbers: 1641/1642 December 2006 People’s Republic of China: Changchun–Harbin Expressway Project Operations Evaluation Department CURRENCY EQUIVALENTS Currency Unit – yuan (CNY) At Appraisal At Project Completion At Operations Evaluation (July 1998) (August 2004) (December 2006) CNY1.00 = $0.1208 $0.1232 $0.1277 $1.00 = CNY8.28 CNY8.12 CNY7.83 ABBREVIATIONS AADT – annual average daily traffic ADB – Asian Development Bank CDB – China Development Bank DMF – design and monitoring framework EIA – environmental impact assessment EIRR – economic internal rate of return FIRR – financial internal rate of return GDP – gross domestic product ha – hectare HHEC – Heilongjiang Hashuang Expressway Corporation HPCD – Heilongjiang Provincial Communications Department ICB – international competitive bidding JPCD – Jilin Provincial Communications Department JPEC – Jilin Provincial Expressway Corporation MOC – Ministry of Communications NTHS – national trunk highway system O&M – operations and maintenance OEM – Operations Evaluation Mission PCD – provincial communication department PCR – project completion report PPTA – project preparatory technical assistance PRC – People’s Republic of China RRP – report and recommendation of the President TA – technical assistance VOC – vehicle operating cost NOTE In this report, “$” refers to US dollars. Keywords asian development bank, development effectiveness, expressways, people’s republic of china, performance evaluation, heilongjiang province, jilin province, transport Director Ramesh Adhikari, Operations Evaluation Division 2, OED Team leader Marco Gatti, Senior Evaluation Specialist, OED Team members Vivien Buhat-Ramos, Evaluation Officer, OED Anna Silverio, Operations Evaluation Assistant, OED Irene Garganta, Operations Evaluation Assistant, OED Operations Evaluation Department, PE-696 CONTENTS Page BASIC DATA v EXECUTIVE SUMMARY vii MAPS xi I. INTRODUCTION 1 A. -
Spatial Heterogeneous of Ecological Vulnerability in Arid and Semi-Arid Area: a Case of the Ningxia Hui Autonomous Region, China
sustainability Article Spatial Heterogeneous of Ecological Vulnerability in Arid and Semi-Arid Area: A Case of the Ningxia Hui Autonomous Region, China Rong Li 1, Rui Han 1, Qianru Yu 1, Shuang Qi 2 and Luo Guo 1,* 1 College of the Life and Environmental Science, Minzu University of China, Beijing 100081, China; [email protected] (R.L.); [email protected] (R.H.); [email protected] (Q.Y.) 2 Department of Geography, National University of Singapore; Singapore 117570, Singapore; [email protected] * Correspondence: [email protected] Received: 25 April 2020; Accepted: 26 May 2020; Published: 28 May 2020 Abstract: Ecological vulnerability, as an important evaluation method reflecting regional ecological status and the degree of stability, is the key content in global change and sustainable development. Most studies mainly focus on changes of ecological vulnerability concerning the temporal trend, but rarely take arid and semi-arid areas into consideration to explore the spatial heterogeneity of the ecological vulnerability index (EVI) there. In this study, we selected the Ningxia Hui Autonomous Region on the Loess Plateau of China, a typical arid and semi-arid area, as a case to investigate the spatial heterogeneity of the EVI every five years, from 1990 to 2015. Based on remote sensing data, meteorological data, and economic statistical data, this study first evaluated the temporal-spatial change of ecological vulnerability in the study area by Geo-information Tupu. Further, we explored the spatial heterogeneity of the ecological vulnerability using Getis-Ord Gi*. Results show that: (1) the regions with high ecological vulnerability are mainly concentrated in the north of the study area, which has high levels of economic growth, while the regions with low ecological vulnerability are mainly distributed in the relatively poor regions in the south of the study area. -
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 -
Issues and Challenges of Governance in Chinese Urban Regions
Zurich Open Repository and Archive University of Zurich Main Library Strickhofstrasse 39 CH-8057 Zurich www.zora.uzh.ch Year: 2015 Metropolitanization and State Re-scaling in China: Issues and Challenges of Governance in Chinese Urban Regions Dong, Lisheng ; Kübler, Daniel Abstract: Since the 1978 reforms, city-regions are on the rise in China, and urbanisation is expected to continue as the Central Government intends to further push city development as part of the economic modernisation agenda. City-regions pose new challenges to governance. They transcend multiple local jurisdictions and often involve higher level governments. This paper aims to provide an improved un- derstanding of city-regional governance in China, focusing on three contrasting examples (the Yangtze River Delta Metropolitan Region, the Beijing- Tianjin-Hebei Metropolitan Region, and the Guanzhong- Tianshui Metropolitan Region). We show that, in spite of a strong vertical dimension of city-regional governance in China, the role and interference of the Central Government in matters of metropolitan policy-making is variable. Posted at the Zurich Open Repository and Archive, University of Zurich ZORA URL: https://doi.org/10.5167/uzh-119284 Conference or Workshop Item Accepted Version Originally published at: Dong, Lisheng; Kübler, Daniel (2015). Metropolitanization and State Re-scaling in China: Issues and Challenges of Governance in Chinese Urban Regions. In: Quality of government: understanding the post-1978 transition and prosperity of China, Shanghai, 16 October 2015 - 17 October 2015. Metropolitanization and State Re-scaling in China: Issues and Challenges of Governance in Chinese Urban Regions Lisheng DONG* & Daniel KÜBLER** * Chinese Academy of Social Sciences, Beijing, P.R. -
Association Between Blood Glucose Levels in Insulin Therapy And
Association between blood glucose levels in insulin therapy and Glasgow Outcome Score in patients with traumatic brain injury: secondary analysis of a randomized trial Tao Yuan Department of Neurosurgery, the aliated Lianyungang Oriental Hospital of Xuzhou Medical University Hongyu He Department of Neurosurgery, the aliated Lianyungang Oriental Hospital of Xuzhou Medical University Yuepeng Liu Center for clinical research and translational medicine, the aliated Lianyungang Oriental Hospital of Xuzhou Medical University Jianwei Wang Department of Neurosurgery, the aliated Lianyungang Oriental Hospital of Xuzhou Medical University Xin Kang Department of Neurosurgery, the aliated Lianyungang Oriental Hospital of Xuzhou Medical University Guanghui Fu Department of Neurosurgery, the aliated Lianyungang Oriental Hospital of Xuzhou Medical University Fangfang Xie Department of Neurosurgery, the aliated Lianyungang Oriental Hospital of Xuzhou Medical University Aimin Li Lianyungang No 1 People's Hospital Jun Chen Lianyungang No 1 People's Hospital Wen-xue Wang ( [email protected] ) Department of Neurosurgery,the aliated Lianyungang Oriental Hospital of Xuzhou Medical University https://orcid.org/0000-0002-9865-6811 Research Article Keywords: Traumatic brain injuries, Glasgow Outcome Score, hyperglycaemia, insulin therapy Posted Date: June 14th, 2021 DOI: https://doi.org/10.21203/rs.3.rs-615839/v1 Page 1/18 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 2/18 Abstract Background: Too high or low blood glucose levels after traumatic brain injury (TBI) negatively affect the prognosis of patients with TBI. This study aimed to examine the relationship between different levels of blood glucose in insulin therapy and Glasgow Outcome Score (GOS) in patients with TBI. -
The Impact of Environmental Regulation on the Domestic Value Added Rate of China’S Industrial Exports—Empirical Test Based on Panel Data of Prefecture Level Cities
American Journal of Industrial and Business Management, 2020, 10, 1437-1453 https://www.scirp.org/journal/ajibm ISSN Online: 2164-5175 ISSN Print: 2164-5167 The Impact of Environmental Regulation on the Domestic Value Added Rate of China’s Industrial Exports—Empirical Test Based on Panel Data of Prefecture Level Cities Jingjing Huang Business School, Nanjing Normal University, Nanjing, China How to cite this paper: Huang, J. J. (2020). Abstract The Impact of Environmental Regulation on the Domestic Value Added Rate of Chi- Environmental protection and the promotion of export domestic value-added na’s Industrial Exports—Empirical Test Based rate is a hot issue in economic development. This paper first explores the on Panel Data of Prefecture Level Cities. mechanism of environmental regulation on domestic value-added rate of ex- American Journal of Industrial and Busi- ness Management, 10, 1437-1453. port, and then empirically tests the impact of environmental regulation on https://doi.org/10.4236/ajibm.2020.108094 domestic value-added rate of industrial export in China by using panel data of 270 prefecture level cities from 2003 to 2016. In the sample period, the in- Received: July 29, 2020 tensity of environmental regulation has a non-linear impact on the export Accepted: August 22, 2020 Published: August 25, 2020 domestic value-added rate. With the increase of environmental regulation in- tensity, the export domestic value-added rate shows a U-shaped relationship. Copyright © 2020 by author(s) and In the eastern, central and western regions, the impact of environmental reg- Scientific Research Publishing Inc. This work is licensed under the Creative ulation on export domestic value-added rate is consistent with the overall re- Commons Attribution International sults. -
Deciphering the Spatial Structures of City Networks in the Economic Zone of the West Side of the Taiwan Strait Through the Lens of Functional and Innovation Networks
sustainability Article Deciphering the Spatial Structures of City Networks in the Economic Zone of the West Side of the Taiwan Strait through the Lens of Functional and Innovation Networks Yan Ma * and Feng Xue School of Architecture and Urban-Rural Planning, Fuzhou University, Fuzhou 350108, Fujian, China; [email protected] * Correspondence: [email protected] Received: 17 April 2019; Accepted: 21 May 2019; Published: 24 May 2019 Abstract: Globalization and the spread of information have made city networks more complex. The existing research on city network structures has usually focused on discussions of regional integration. With the development of interconnections among cities, however, the characterization of city network structures on a regional scale is limited in the ability to capture a network’s complexity. To improve this characterization, this study focused on network structures at both regional and local scales. Through the lens of function and innovation, we characterized the city network structure of the Economic Zone of the West Side of the Taiwan Strait through a social network analysis and a Fast Unfolding Community Detection algorithm. We found a significant imbalance in the innovation cooperation among cities in the region. When considering people flow, a multilevel spatial network structure had taken shape. Among cities with strong centrality, Xiamen, Fuzhou, and Whenzhou had a significant spillover effect, which meant the region was depolarizing. Quanzhou and Ganzhou had a significant siphon effect, which was unsustainable. Generally, urbanization in small and midsize cities was common. These findings provide support for government policy making. Keywords: city network; spatial organization; people flows; innovation network 1.