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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. -
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 -
Nber Working Paper Series from Fog to Smog: the Value
NBER WORKING PAPER SERIES FROM FOG TO SMOG: THE VALUE OF POLLUTION INFORMATION Panle Jia Barwick Shanjun Li Liguo Lin Eric Zou Working Paper 26541 http://www.nber.org/papers/w26541 NATIONAL BUREAU OF ECONOMIC RESEARCH 1050 Massachusetts Avenue Cambridge, MA 02138 December 2019, Revised January 2020 We thank Antonio Bento, Fiona Burlig, Trudy Cameron, Lucas Davis, Todd Gerarden, Jiming Hao, Guojun He, Joshua Graff Zivin, Matt Khan, Jessica Leight, Cynthia Lin Lowell, Grant Mc- Dermott, Francesca Molinari, Ed Rubin, Ivan Rudik, Joe Shapiro, Jeff Shrader, Jörg Stoye, Jeffrey Zabel, Shuang Zhang, and seminar participants at the 2019 NBER Chinese Economy Working Group Meeting, the 2019 NBER EEE Spring Meeting, the 2019 Northeast Workshop on Energy Policy and Environmental Economics, MIT, Resources for the Future, University of Alberta, University of Chicago, Cornell University, GRIPS Japan, Indiana University, University of Kentucky, University of Maryland, University of Oregon, University of Texas at Austin, and Xiamen University for helpful comments. We thank Jing Wu and Ziye Zhang for generous help with data. Luming Chen, Deyu Rao, Binglin Wang, and Tianli Xia provided outstanding research assistance. The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research. NBER working papers are circulated for discussion and comment purposes. They have not been peer-reviewed or been subject to the review by the NBER Board of Directors that accompanies official NBER publications. © 2019 by Panle Jia Barwick, Shanjun Li, Liguo Lin, and Eric Zou. All rights reserved. Short sections of text, not to exceed two paragraphs, may be quoted without explicit permission provided that full credit, including © notice, is given to the source. -
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. -
Initial Exploration of a Protection System for Historical and Cultural Towns and Villages in Hainan, China
Structural Studies, Repairs and Maintenance of Heritage Architecture XV 297 INITIAL EXPLORATION OF A PROTECTION SYSTEM FOR HISTORICAL AND CULTURAL TOWNS AND VILLAGES IN HAINAN, CHINA WANG ZHENYU Department of Architecture and Urban Planning, Huazhong University of Science and Technology, China ABSTRACT The long course of Chinese national history runs from a remote source. Since China has a vast territory, different regions formed a variety of regional cultures with different natural environments and era evolutions. Historical and cultural towns and villages not only exist as individual entities, but also as integrated urban and rural settlements and regional cultures. This paper presents the methodologies for the protection of historical towns and villages in the phase of systematic planning in Hainan Province. The research begin with looking at Hainan’s regional culture, adopting the research method of anthropology and regional heritage to retrace the culture of Hainan’s towns and villages, analysing the status quo, and on this basis, building a framework of Hainan historical towns and villages in promotion of its rational protection and development. Keywords: historical and cultural towns and villages, land use, Meso-scale space unit, non-motor- vehicle travel. 1 INTRODUCTION Hainan is a tropical island in southern China with beautiful scenery; its special natural environment has created an exotic culture. Today, most people see Hainan as an international scenic spot; however, less attention is paid to Hainan’s culture and traditions, which, to some extent, results in a lack of cultural construction. Historical and cultural villages and towns are important space carriers of Hainan culture; therefore, the construction of provincial-level historical and cultural towns and villages to protect the historical and cultural heritage of Hainan is essential. -
2019 Annual Report
Table of Contents A Message from the Chairman.............................................................. 1 A Message from the President .............................................................. 3 Our Impact .................................................................................... 4 What’s Unique About Sister Cities International?....................................... 5 Global Leaders Circle............................................................................... 6 2018 Activities....................................................................................... 7 Where We Are (Partnership Maps) ........................................................ 14 Membership with Sister Cities International ........................................... 18 Looking for a Sister City Partner?......................................................... 19 Membership Resources and Discounts ................................................. 20 Youth Leadership Programs ............................................................... 21 YAAS 2018 Winners & Finalists ............................................................ 23 2018 Youth Leadership Summit .......................................................... 24 Sister Cities International’s 2018 Annual Conference in Aurora, Colorado.......................................................................... 26 Annual Awards Program Winners......................................................... 27 Special Education and Virtual Learning in the United States and Palestine (SEVLUP) -
I. Tourism Industry (19 Projects) 1
I. Tourism Industry (19 Projects) 1. Haiken Wuzhishan Tea Tourism Town (Industrial Park) Project Name Haiken Wuzhishan Tea Tourism Town (Industrial Park) The Haiken Wuzhishan Tea Tourism Town (Industrial Park) is one of the eight industrial parks undertaken by the Hainan State Farms under the “Eight Eight Strategy”, listed as a “provincial key project”. The project, which covers a total planned area of 11,318 mu, will be developed in three phases, and the construction cycle is expected to be 5 years; the content of construction includes one corridor connected to one village and one workshop, three parks and three areas, i.e., Tea Garden Waterfront Landscape Corridor, Colorful Organic Tea Garden, Tea Grove Wit Paradise, Project Leisure Healthcare Area, Zen Tea Culture Experience Area, Tea Experience Overview Entertainment Area, Tea Town Folklore Village and Tea Innovation Workshop; as rural construction is carried out throughout “hundreds of towns and thousands of villages in beautiful Hainan”, the project aims to build a characteristic town of tea tourism culture with tea production and processing, trading and logistics, industrial exchanges, culture experience, folklore experience, catering and recreation, travel and holiday and healthcare rolled into one to make the characteristic town seamlessly connected to industrial parks, targeted poverty alleviation and all-for-one tourism. The project is located in Xiangshui Town, Baoting Li and Miao Autonomous County, Hainan Province, in the hinterland of the Wuzhi Project Site Mountain. The project boasts an advantageous geographical location for it’s bounded by Wuzhishan City in the north, by Sanya City in the south, by Ledong Country in the west and Lingshui County in the east. -
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International Conference on Mechatronics, Electronic, Industrial and Control Engineering (MEIC 2014) Application of fuzzy clustering analysis on the consumption level of residents by region in Hainan Chen Yijuan Zhang Chengyi* School of Mathematics and Statistics School of Mathematics and Statistics Hainan Normal University Hainan Normal University Haikou,China Haikou,China E-mail:[email protected] E-mail:[email protected] He Lifang School of Mathematics and Statistics Hainan Normal University Haikou,China E-mail:[email protected] Abstract—The previous literatures generally study miscellaneous goods,and services as indicators in consumption level of the single urban or rural residents in modeling the consumption structure, but few takes the Hainan.But there are few documents about the residents' social development degree into account. consumption level in Hainan province. According to the the We think that statistics analysis of overall spending data in range of year 2003-2012,this paper analyzes and behavior in both urban and rural eras would give better evaluates on consumption level of urban and rural residents understanding of the consumption structure. We therefore in Hainan from the whole perspective. We compare and employed weighted FCM algorithm to carry out the analyse the data of cities. The main conclusions are as analysis in this perspective. follows: It unveils that the urban and rural resident We categorized the factors that drive consumption consumption trend shows strong positive correlation to each behavior as essential factors, major factors and other respective local economic status. The education expense accounts for gradual increasing part of resident factors. We choose per capita GDP as the essential factor. -
Appendix List of Institutions 1
Appendix List of Institutions 1. China International Economic and Trade Arbitration Commission 2. China Maritime Arbitration Commission 3. Beijing Arbitration Commission in Beijing Municipality 4. Tianjin Arbitration Commission in Tianjin Municipality 5. Shijiazhuang Arbitration Commission in Heibei Province 6. Handan Arbitration Commission in Heibei Province 7. Xingtai Arbitration Commission in Heibei Province 8. Cangzhou Arbitration Commission in Heibei Province 9. Chengde Arbitration Commission in Heibei Province 10. Zhangjiakou Arbitration Commission in Heibei Province 11. Hengshui Arbitration Commission in Heibei Province 12. Baoding Arbitration Commission in Heibei Province 13. Tangshan Arbitration Commission in Heibei Province 14. Qinhuangdao Arbitration Commission in Heibei Province 15. Langfang Arbitration Commission in Heibei Province 16. Datong Arbitration Commission in Shanxi Province 17. Yangquan Arbitration Commission in Shanxi Province 18. Taiyuan Arbitration Commission in Shanxi Province 19. Jinzhong Arbitration Commission in Shanxi Province 20. Changzhi Arbitration Commission in Shanxi Province 21. Jincheng Arbitration Commission in Shanxi Province 22. Yuncheng Arbitration Commission in Shanxi Province 23. Linfen Arbitration Commission in Shanxi Province 24. Hohhot Arbitration Commission in Inner Mongolia Autonomous Region 25. Wuhai Arbitration Commission in Inner Mongolia Autonomous Region 26. Baotou Arbitration Commission in Inner Mongolia Autonomous Region 27. Chifeng Arbitration Commission in Inner Mongolia Autonomous Region 28. Ordos Arbitration Commission in Inner Mongolia Autonomous Region 29. Tongliao Arbitration Commission in Inner Mongolia Autonomous Region 30. Hulunbeier Arbitration Commission in Inner Mongolia Autonomous Region 31. Anshan Arbitration Commission in Liaoning Province 32. Fushun Arbitration Commission in Liaoning Province 33. Benxi Arbitration Commission in Liaoning Province 34. Jinzhou Arbitration Commission in Liaoning Province 35. Liaoyang Arbitration Commission in Liaoning Province 36. -
Occurrence of Trichophyton Verrucosum in Cattle in the Ningxia
Guo et al. BMC Veterinary Research (2020) 16:187 https://doi.org/10.1186/s12917-020-02403-6 RESEARCH ARTICLE Open Access Occurrence of Trichophyton verrucosum in cattle in the Ningxia Hui autonomous region, China Yanan Guo1, Song Ge1, Haifeng Luo1, Atif Rehman1, Yong Li2 and Shenghu He1* Abstract Background: Ningxia Hui Autonomous Region is an important cattle breeding area in China, and cattle breeding bases are located in this area. In Ningxia, dermatophytes have not been paid attention to, so dermatophytosis is becoming more and more serious. For effective control measures, it is important to determine the disease prevalence and isolate and identify the pathogenic microorganism. Results: The study showed the prevalence of dermatophytes was 15.35% (74/482). The prevalence in calf was higher than adult cattle (p < 0.05). The morbidity was the highest in winter compared with autumn (p < 0.0001), summer (p < 0.05) and spring (p < 0.0001). The prevalence in Guyuan was the highest compared with Yinchuan (p < 0.05) and Shizuishan (p < 0.05). The incidence of lesions on the face, head, neck, trunk and whole body was 20.43, 38.71, 20.43, 10.75 and 9.68%, respectively. From all samples, the isolation rate of Trichophyton was highest (61.1%). The phylogenetic tree constructed showed that the 11 pathogenic fungi were on the same branch as Trichophyton verrucosum. Conclusions: This study reports, for the first time, the presence of Trichophyton verrucosum in cattle in Ningxia and showed that the incidence of dermatophytosis is related to different regions, ages and seasons. -
Characterization of the Cecal Microbiome Composition of Wenchang Chickens Before and After Fattening
RESEARCH ARTICLE Characterization of the cecal microbiome composition of Wenchang chickens before and after fattening Zhen TanID, Lilong Luo, Xiaozhe Wang, Qiong Wen, Lu Zhou, Kebang Wu* Laboratory of Tropical Animal Breeding, Reproduction and Nutrition, College of Animal Science and Technology, Institute of Tropical Agriculture and Forestry, Hainan University, Haikou, P.R. China * [email protected] a1111111111 a1111111111 a1111111111 a1111111111 Abstract a1111111111 The cecum of poultry harbors a complex and dynamic microbial community which plays important roles in preventing pathogen colonization, detoxifying harmful substances, nutri- ent processing, and harvesting of the ingestion. Understanding and optimizing microbial communities could help improve agricultural productivity. In this study, we analyzed the OPEN ACCESS composition and function of cecal microbiota of Wenchang chicken (a native breed of Ban- Citation: Tan Z, Luo L, Wang X, Wen Q, Zhou L, tam) before and after fattening, using high throughput sequencing technology. High- Wu K (2019) Characterization of the cecal microbiome composition of Wenchang chickens throughput sequencing of the 16S rRNA genes V3-V4 hypervariable regions was used to before and after fattening. PLoS ONE 14(12): characterize and compare the cecal microbiota of Wenchang chicken before fattening (free- e0225692. https://doi.org/10.1371/journal. range in hill) and after fattening (cage raising). Sixteen phyla were shared by the 20 sam- pone.0225692 ples. Firmicutes and Bacteroidetes were the top two abundant phyla being 80% of the total Editor: Juan J. Loor, University of Illinois, UNITED microbiota. Samples of chickens prior to fattening were more dispersed than those after fat- STATES tening. Twenty four microbes could be considered as biomarkers and 3 phyla revealed dif- Received: June 25, 2019 ferences by variance analysis which could distinguish the two groups.