China Shuangji Cement Ltd. Investor Presentation
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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. -
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 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. -
Land-Use Efficiency in Shandong (China)
sustainability Article Land-Use Efficiency in Shandong (China): Empirical Analysis Based on a Super-SBM Model Yayuan Pang and Xinjun Wang * Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China; [email protected] * Correspondence: [email protected] Received: 20 November 2020; Accepted: 14 December 2020; Published: 18 December 2020 Abstract: A reasonable evaluation of land-use efficiency is an important issue in land use and development. By using a super-SBM model, the construction and cultivated land-use efficiency of 17 cities in Shandong from 2006 to 2018 were estimated and the spatial-temporal variation was analyzed. The results showed that: (1) The land use efficiency levels were quite different, and low-efficiency cities impacted the overall development process. (2) The efficiency values of construction land generally fluctuated and rose, meaning that room remains for future efficiency improvements. Cultivated land generally showed a high utilization efficiency, but it fluctuated and decreased. (3) The construction land-use efficiency was highest in the midland region, especially in Laiwu city, followed by the eastern region and Qingdao city, and the western region. The spatial variation in cultivated land presented a trend of “high in the middle, low in the periphery,” centered on Jinan and Yantai city. (4) Pure technical efficiency was the main restriction driving inefficient utilization in the western region, while scale efficiency played that role in the east. Based on the findings, policy suggestions were proposed to improve the land-use efficiency in Shandong and promote urban sustainable development. Keywords: land use; efficiency level; super-SBM model; Shandong Province; construction land; cultivated land 1. -
Beijing Baidu Netcom Science and Technology Co., Ltd
Beijing Baidu Netcom Science and Technology Co., Ltd. v. Qingdao Aoshang Network Technology Co., Ltd. et al., An Unfair Competition Dispute Guiding Case No. 45 (Discussed and Passed by the Adjudication Committee of the Supreme People’s Court Released on April 15, 2015) CHINA GUIDING CASES PROJECT English Guiding Case (EGC45) November 15, 2015 Edition * * The citation of this translation of the Guiding Case is: 《北京百度网讯科技有限公司诉青岛奥商网络技 术有限公司等不正当竞争纠纷案》 (Beijing Baidu Netcom Science and Technology Co., Ltd. v. Qingdao Aoshang Network Technology Co., Ltd., An Unfair Competition Dispute ), CHINA GUIDING CASES PROJECT , English Guiding Case (EGC45), Nov. 15, 2015 Edition , available at http://cgc.law.stanford.edu/guiding -cases/guiding -case -45. This document was primarily prepared by Jasmine Chen, Jeffrey Chivers, Oma Lee, Jeremy Schlosser, Yifan Yang, and Shiyue Zhang. The document was finalized by Sean Webb, Jordan Corrente Beck, and Dr. Mei Gechlik. Minor editing, such as splitting long paragraphs, adding a few words included in square brackets, and boldfacing the headings to correspond with those boldfaced in the original Chinese version, was done to make the piece more comprehensible to readers. The following text, otherwise, is a direct translation of the original text and reflects the formatting of the Chinese document released by the Supreme People’s Court. The following Guiding Case was discussed and passed by the Adjudication Committee of the Supreme People’s Court of the People’s Republic of China and was released on April 15, 2015, available at http://www.chinacourt.org/article/detail/2015/04/id/1602323.shtml. See also 《最高人民法院关于发布第十批指 导性案例的通知》 (The Supreme People’s Court’s Notice Concerning the Release of the Tenth Batch of Guiding Cases ), Apr. -
Bangladesh Chittagong China Hong Kong Shenzhen
Japan Tokyo 14 Dalian Seoul 15 Yokohama 17 South 13 Tianjin 8 16 Korea 12 Osaka-wan 10 Inch'on Kobe 7 6 9 Beijing Qingdao Busan Australia Australia 34 Brisbane 34 Brisbane Australia Australia 3 Shanghai Australia Brisbane 34 34 Brisbane 34 Brisbane China Taipei Australia Brisbane 29 34 New Delhi 21 Australia Taiwan Brisbane 5 Kao-hsiung Sydney 34 Guangzhou 32 Sydney 11 Perth 32 Hong Kong 36 Adelaide 2 Perth Bangladesh 36 35 Adelaide 4 35 Shenzhen Sydney Sydney Chittagong Sydney 32 32 Nagpur 23 Perth Perth Adelaide 32 18 Perth 36 36 Adelaide Mumbai (Bombay) 20 Philippines 36 Adelaide 35 35 Manila 27 Melbourne35 India 33 Melbourne 33 Sydney 32 Perth Thailand 36 Adelaide Sydney Auckland 35 Melbourne 32 Melbourne Vietnam Perth Melbourne 33 33 37 Auckland Bangkok 30 36 Adelaide33 37 Bangalore 22 19 Chennai (Madras) 35 31 Ho Chi Minh City Auckland Auckland Auckland 37 37 Melbourne New Zealand 37 33 New Zealand Melbourne Colombo 28 Sri Lanka Main Transport Terminals Trade(import-export) value Population (million people) 33 Malaysia Connections (billion US dollars) in 2007 AucklandNew Zealand 37 New Zealand Kuala Lumpur New Zealand Road Asia Highway >1000 0 - 2 Auckland 25 Network 37 26 Port of Tanjung 1 Indonesia International Airport 500 - 1000 2 - 5 Pelepas Singapore River New Zealand Sea Harbour 100 - 500 5 - 10 New Zealand River Harbour <100 0 245 490 Miles > 10 Free Economic Zone Jakarta 24 0 245 490 KM 1. Singapore 2. Hong Kong 3. Shanghai 4. Shenzhen 5. Kaohsiung 6. Busan 7. Beijing 8. Dalian Singapore is the world’s biggest container port with yearly throughput Hong Kong is a hub port serving the South Asian Pacific region and Shanghai is the power house for the economic growth of China. -
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. -
Consultancy Study on Socio-Economic-Political Trends in Pan-Pearl River Delta Region
CONSULTANCY STUDY ON SOCIO-ECONOMIC-POLITICAL TRENDS IN PAN-PEARL RIVER DELTA REGION THIRD MONTHLY REPORT PART I COVERING FUJIAN, JIANGXI, HUNAN, AND HAINAN JANUARY 2005 CENTRAL POLICY UNIT HONG KONG SPECIAL ADMINISTRATIVE REGION Socio-Economic-Political Trends in Pan-Pearl River Delta Region Fujian, Jiangxi, Hunan, Hainan (3rd Monthly Report) 2 Socio-Economic-Political Trends in Pan-Pearl River Delta Region Fujian, Jiangxi, Hunan, Hainan (3rd Monthly Report) Table of Contents I. Executive Summary ----------------------------------------------------------------- 5 II. Topical Analysis --------------------------------------------------------------------- 9 “Pan-PRD Tourism Cooperation: Opportunities for Hong Kong” Part One: South-eastern Region Pan-Pearl River Delta Region Enhancing Tourism Cooperation --------- 10 Nine Provinces/Region Consolidating Tourism Resources ------------- 16 Fujian Accelerating Tourism Cooperation Across the Strait ------------ 20 Jiangxi Constructing a Tourism Backyard for Coastal Region --------- 24 The Rise of “Agricultural Tour” in Hunan Tourism ------------------------ 28 Hainan Developing Tropical Island Tourism -------------------------------- 32 III. Trends & Updates on the Four South-eastern Provinces ----------------------- 37 Secretary of the Fujian Provincial Committee of the Communist Party of China Appointed ------------------------------------------------------------- 38 Fujian Promulgated Outline for the Construction of Economic Zone on the West Coast of the Taiwan Strait ------------------------------------------