Monitoring Changes of Ecosystem Services Supply and Demand Pattern in Central and Southern Liaoning Urban Agglomerations, China Using Landsat Images
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Annual Report 年報 2015 Contents
Annual Report 年報 2015 Contents General Information on the Company 2 Chairman’s Statement 8 Financial Highlights 10 Management Discussion and Analysis 11 Directors’ Report 48 Corporate Governance Report 60 Profiles of Directors, Supervisors and Senior Management 72 Independent Auditor’s Report 76 Consolidated Balance Sheet 77 Consolidated Income Statement 79 Consolidated Cash Flows Statement 80 Consolidated Statement of Changes in Shareholders’ Equity 82 Company Balance Sheet 83 Company Income Statement 85 Company Cash Flow Statement 86 Company Statement of Changes in Shareholders’ Equity 88 Notes to the Financial Statements 89 Supplementary Information to the Financial Statements 228 Financial Highlights for the Past Five Financial Years 230 General Information on the Company 1) Company Profile Dalian Port (PDA) Company Limited (the “Company”) was established in Dalian City, Liaoning Province, the People’s Republic of China (the “PRC”) on 16 November 2005. The Company was successfully listed on the Main Board of the Stock Exchange of Hong Kong Limited with stock code of 2880 and Shanghai Stock Exchange with stock code of 601880 on 28 April 2006 and 6 December 2010, respectively. The Company is the first port company listed in both the stock exchanges of Hong Kong and Shanghai. Located at the entrance of Bohai Bay, with its proximity to major international shipping routes as compared to other ports in Bohai Bay and with deep water and ice-free port conditions, Dalian port is able to operate its terminals throughout the year. As the consolidated operational platform for port and logistics services in Dalian port, the Company and its subsidiaries (collectively, the “Group”) are the biggest comprehensive port operator in the Three Northeastern Provinces of China (collectively, Heilongjiang Province, Jilin Province and Liaoning Province). -
Summary on Marine and Coastal Protected Areas in NOWPAP Region
Summary on Marine and Coastal Protected Areas in NOWPAP Region (NOWPAP DINRAC, March 2010) 1. Overview This summary is based on the Database on Coastal and Marine Nature Reserves in the Northwest Pacific Region (NowpapNatureReserve, http://dinrac.nowpap.org/NowpapNatureReserve.php) which is developed and maintained by NOWPAP DINRAC. The data was collected and provided by the National Focal Points of DINRAC started from 2006 and updated periodically. The WDPA (World database of protected areas, http://www.wdpa-marine.org), and the Ramsar Sites Database (http://ramsar.wetlands.org) were also taken as reference. The summary intends to give an overview and understanding on current situation of marine and coastal protected areas (MPAs) in NOWPAP region. The MPAs - marine and coastal protected areas comprise the nature reserves, national parks, wetland protected areas (Ramsar Sites) in NOWPAP Region. The sea area mainly covers the Yellow Sea and Eastern Area of NOWPAP region. Based on the existing data, there are total 87 MPAs in NOWPAP region covers an area of 4,090,046ha (Table 1 to Table 3). The earliest MPA was established in October 1916 and the latest was in August 2007 (Table 4). The smallest area is 10ha in Japan and largest area is 909,000ha in China (Table 5). Statistics tables and figures below are conducted on number, area, protected level, protected type and protected objectives (species) for MPAs in NOWPAP (Table 6 and Fig.1 to Fig.5). The list (List 1) and the location of the MPAs (Map 1) are listed individually. 2. Statistics Table 1. Number of MPAs in NOWPAP Region by Country Level Protected Type Country Total Wild Municipal/ Natural Nature Number National Provincial animal and County ecosystem heritage plant China 20 9 5 6 15 17 17 Japan 31 17 14 0 31 31 20 Korea 22 22 0 0 22 20 13 Russia 14 7 7 0 14 14 7 Region 87 55 26 6 82 82 57 1 Table 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 -
Research on Development Countermeasures of Marine Cultural Industry in Dalian City
Journal of Literature and Art Studies, June 2018, Vol. 8, No. 6, 906-911 doi: 10.17265/2159-5836/2018.06.009 D DAVID PUBLISHING Research on Development Countermeasures of Marine Cultural Industry in Dalian City ZHU Hui, YANG Si-ting Law School and Coast Guard School, Dalian Ocean University, Dalian, 116023, China Nowadays, culture, as a kind of soft power, has become the worldwide force that has an influence on the future world. The competition in the future world will also be the competition of culture and cultural productivity. The consciousness of cultural construction and cultural development has become the consensus of all countries in the world. Dalian is an important city in terms of opening to and cooperation in Northeast Asia. The development of marine culture and marine cultural industry is of great significance on promoting the growth of Dalian’s marine economy and the revitalization of the old industrial bases in northeast, which is also beneficial to the development of Liaoning coastal economic belt, the economic circle around the Bohai Sea and the construction strategy of the “Belt and Road initiative”. This paper takes the development countermeasures of marine cultural industry in Dalian city as the research subject. Based on the detailed analysis of the status and insufficiency, putting forward several specific development countermeasures of marine cultural industry in Dalian city. Keywords: marine cultural industry, development countermeasures, Dalian Introduction In order to meet the challenges of the development of the global marine competition, China has established the marine power as the national development strategy, and the report of the 18th National Congress of the Communist Party of China clearly put forward the construction of the marine power, which accurately grasps the characteristics of the times and the world trend. -
Minimum Wage Standards in China August 11, 2020
Minimum Wage Standards in China August 11, 2020 Contents Heilongjiang ................................................................................................................................................. 3 Jilin ............................................................................................................................................................... 3 Liaoning ........................................................................................................................................................ 4 Inner Mongolia Autonomous Region ........................................................................................................... 7 Beijing......................................................................................................................................................... 10 Hebei ........................................................................................................................................................... 11 Henan .......................................................................................................................................................... 13 Shandong .................................................................................................................................................... 14 Shanxi ......................................................................................................................................................... 16 Shaanxi ...................................................................................................................................................... -
Area Comprehensive Score 1990 2000 2010 Heping District 0.307
Comprehensive score of aging level in 1990, 2000 and 2010 Comprehensive score Area 1990 2000 2010 Heping District 0.307 0.572 0.792 Shenhe District 0.319 0.554 0.774 Dadong District 0.275 0.558 0.803 Huanggu District 0.262 0.542 0.777 Tiexi District (Shenyang) 0.252 0.611 0.800 Sujiatun District 0.202 0.409 0.699 Dongling District 0.202 0.370 0.512 Shenbei New District 0.196 0.388 0.534 Yuhong District 0.197 0.364 0.593 Liaozhong County 0.187 0.351 0.627 Kangping County 0.165 0.318 0.604 Faku County 0.195 0.354 0.653 Xinmin City 0.177 0.351 0.627 Zhongshan District 0.336 0.592 0.888 Xigang District 0.327 0.605 0.860 Shahekou District 0.284 0.534 0.770 Ganjingzi District 0.242 0.381 0.557 Lushunkou District 0.302 0.427 0.668 Jinzhou District 0.267 0.360 0.531 Changhai County 0.215 0.314 0.638 Wafangdian City 0.218 0.431 0.799 Pulandian City 0.243 0.440 0.812 Zhuanghe City 0.224 0.460 0.778 Tiedong District 0.230 0.541 0.831 Tiexi District (Anshan) 0.234 0.514 0.896 Lishan District 0.198 0.540 0.950 Qianshan District 0.215 0.399 0.721 Tai'an County 0.187 0.355 0.613 Xiuyan Manchu Autonomous County 0.171 0.349 0.620 Haicheng City 0.191 0.321 0.573 Xinfu District 0.245 0.517 0.853 Dongzhou District 0.230 0.551 1.000 Wanghua District 0.206 0.464 0.814 Shuncheng District 0.195 0.479 0.819 Fushun County 0.256 0.401 0.701 Xinbin Manchu Autonomous County 0.110 0.298 0.615 Qingyuan Manchu Autonomous County 0.124 0.318 0.618 Pingshan District 0.208 0.475 0.778 Xihu District 0.217 0.497 0.829 Mingshan District 0.186 0.440 0.743 Nanfen District 0.196 -
Marine Protected Areas and the Yellow Sea Ecoregion
Table of Marine National and Local Nature Reserves in Yellow Sea Ecoregion (China) Marine Protected Areas and Marine national nature reserves (NNRs) Location Areas(hm2) Important conservation targets Management authority Snake Island-Laotieshan Mountain Lushun, Liaoning Province NNR (Prov.) 17 000 Vipers and birds and their habitats SEPA the Yellow Sea Ecoregion Yalu River Costal Wetland NNR Donggang, Liaoning Prov. 112 180 Tidelands, wetlands, water birds and migrating birds SEPA Changli Golden Seaboard NNR Changli, Hebei Prov. 30 000 landscape and marine ecosystem SOA Chongming Dongtan NNR Chongming County, Shanghai 4 900 Estuary wetland SFA Yancheng Birds NNR Yancheng, Jiangsu Prov. 453 000 Hooded Cranes and tidelands, wetlands SEPA - A strategic action for Biodiversity Conservation Nanji Islands NNR Pingyang County, Zhejiang Prov. 20 106 Islands, molluscs and marine ecosystem SOA Tianjin ancient seaboards and Ancient seaboards relics of conch dykes and oyster wetlands NNR Tianjin 21 180 beaches, wetlands ecosystem SOA Huanghe River Delta Dongying, Shandong Prov. 153 000 Original wetland ecosystem and water birds SFA Annex 1: Current Marine Protected Areas (MPAs) in China Shuangtai Estuary water birds NNR Panjin, Liaoning Prov. 80 000 Hooded cranes, Siberian cranes, Swan goose, etc. SFA and Potential Priority Areas Marine local nature reserves (LNRs) Location Areas(hm2) Conservation Targets ManagementAuthority © SOA Dalian Haiwang nine-islands Seashore physiognomy, seaboard scenes and marine NR Dalian, Liaoning Prov. 2 143 seabirds Liaoning Provincial Gov. Dalian Laopian Island NR Marine creatures and ecosystem, Karst and marine Dalian, Liaoning Prov. 1 580 abrasion physiognomy landscape Liaoning Provincial Gov. Sanshan Island NR Chlamys (Azumapecten) farrer, Haliotis discus hannai, Dalian, Liaoning Prov. -
Chinese Proverb
“When you want to test the depth of a stream, don’t use both feet.“ Chinese Proverb (C)2007 * GWI MARKET ACCESS: DESALINATION IN CHINA 1 GWI MARKET ACSESS: DESALINATION IN CHINA Acknowledgments The authors would like to thank for their contribution to this report (in alphabetical order) Elisha Arad, IDE Gireesh Bhat, Hyfl ux Stephen Buonagura, SITIndustrie Lily Cai, Vontron Jackie Cao, Brack Capital Yousheng Chang, Beifang Leslie Chapple, Hyfl ux Haichen Cong, Chinese Desalination Association Charles Desportes, Entropie (Veolia) Xiong Fan, Development Centre of Water Treatment Technlogy Susanna Floth , Aqualia Congjie Gao, Chinese Academy of Engineering André Hansen, Danfoss Guofeng Huang , ROPV Access Xiazhen Jia, Tianjin Waterworks Zhizhong Li, Aqualia Xiaolin Liu, Degrémont Jing Liu, LH International Binghui Liu, MegaVision Runming Pang, Koch Guoling Ruan, Tianjin Institute of Seawater Desalination Beat Patrick Schneider, Calder Spike Shao , LH International Albert Sone, Pump Engineering Mitch Summerfi eld , Siemens Yongwen Tan , Xidoumen Jianguo Tang, Shanghai Water Authority Hattie Wang, ERI Daxin Wang, Dow Sherry Wang, Qianqu Zhaohui Wang, Beidouxing David Wu, GE Jacky Wu, MemShell Kun Yang, Chinese Desalination Association Jason Zhao, Hydranautics Market Nancy Zheng, Motimo He Zhu, Jun He Law Offi ces This report was researched, written and edited by Jensen & Blanc-Brude, Ltd. for Global Water Intelligence Jensen & Blanc-Brude, Ltd. Global Water Intelligence 22 Leathermarket Street, Unit 6 Published by Media Analytics, Ltd. London SE1 3HP The Jam Factory, 27 Park End Street United Kingdom Oxford OX1 1HU [email protected] United Kingdom www.jensenblancbrude.com [email protected] www.globalwaterintel.com While every eff ort has been made to ensure the accuracy of the information in this report, neither Global Water Intelligence, Jensen & Blanc-Brude Ltd or Media Analytics Ltd, nor any of the contributors accept liability for any errors or oversights. -
Biological Assessment of Ecologically Important Areas for the Coastal Plant Taxonomic Group of the Yellow Sea Ecoregion
Biological Assessment Report of the Yellow Sea Ecoregion (2008) Biological Assessment of Ecologically Important Areas for the Coastal Plant Taxonomic Group of the Yellow Sea Ecoregion China Part Author: LUO Yan Position/affiliation: School of Life Sciences, Ocean University of China Mailing address: Yushan Road 5, Qingdao, Shandong 266003, People’s Republic of China Email address:luoyan@ouc,edu,cn 1. Ecological sub-regions Based on the floristic delineation of East Asian plants (Wu & Wu, 1996), the Eastern Asiatic Region (basically the area of east Asia) can be divided into two subregions: Sino-Himalayan and Sino-Japanese. The Sino-Japanese Subregion can be further divided into four components, namely Central China; East China; South China; and the Yunnan, Guizhou & Guangxi area. The Yellow Sea Ecoregion (YSE) is a component of East China. Within the YSE, there are no significant differences between coastal flora of different areas. Hence, as far as coastal plant is concerned as an indicator, the YSE cannot be divided into further into ecological sub-regions. 2.Definition of Coastal Plants The coastal plants in this report includes both the halophytes and plants living on sand dunes. Common Criteria for identification of Ecologically Important Areas of the Yellow Sea Ecoregion The Coastal plant Taxonomic Group adopted the following common criteria to identify Ecologically Important Areas for Coastal Plants in the Yellow Sea Ecoregion (Table 1). 179 Biological Assessment Report of the Yellow Sea Ecoregion (2008) 180 Biological Assessment Report of the Yellow Sea Ecoregion (2008) Selected Indicator Species under Criterion 1: Representative species/ habitat types Definition of Indicator Species under Criterion 1: Species that are dominant at different habitats on the coast of the Yellow Sea Ecoregion. -
AN INTEGRATED APPROACH for OPTIMIZING the SPATIAL PLANNING of TOURIST Pois for TRAFFIC ACCESSIBILITY: DALIAN CITY, CHINA
Qunsong Zhang et al., Int. J. Transp. Dev. Integr., Vol. 5, No. 2 (2021), 162–174 AN INTEGRATED APPROACH FOR OPTIMIZING THE SPATIAL PLANNING OF TOURIST POIs FOR TRAFFIC ACCESSIBILITY: DALIAN CITY, CHINA QUNSONG ZHANG1,2, EUNYOUNY KIM1, CUIXIA YANG2 & FUCUN CAO2 1School of Knowledge Science, Japan Advanced Institute of Science and Technology, Japan 2Landscape Architecture, School of Art & Design, Dalian Polytechnic University, China ABSTRACT It is important for urban tourism development to focus on the accessibility of tourist points of interest (POIs). The spatial distribution of POIs should be closely linked to sustainable traffic development. In recent years, smartphones and global positioning systems have provided strong technical support for tourist POIs through social media. Many studies have been conducted to investigate the correlation between POIs and transportation from different perspectives. There is however a lack of quantitative research on the correlation between traffic accessibility and the distribution of urban tourist POIs using space syntax theory. This study proposes a method for optimizing the layout of tourist POIs based on traffic accessibility. We crawled 2,322 tourist POIs in Dalian as research objects, adopted kernel density estimation and constructed spatial syntax models. We analysed these models from the perspective of the spatial distribution characteristics of the POIs and traffic accessibility. The results showed no di- rect correlation between the spatial distribution of POIs and road networks. The conclusion is that the distribution of the most popular POIs does not coincide with the roads with the highest accessibility in Dalian. Therefore, we propose feasible optimization strategies for spatial planning of tourist POIs and sustainable traffic development. -
The 19Th Comparative Survey of Investment-Related Costs in 30 Major Cities and Regions in Asia
The 19th Comparative Survey of Investment-Related Costs in 30 Major Cities and Regions in Asia May 2009 Overseas Research Department Japan External Trade Organization (JETRO) JETRO (C) copyright 2009 All right reserved The 19th Comparative Survey of Investment-Related Costs in 30 Major Cities and Regions in Asia May 2009 In January 2009, JETRO conducted a comparative survey of investment-related costs in 30 major cities and regions in Asia. In response to growing Japanese investment in distribution, sales, finance, telecommunications and other service-related industries in the region—and thus increasing demand for investment-related information in these fields—the 19th survey added some new items to cover both manufacturing and non-manufacturing industries. Columns on wages, for example, was expanded to include “administrative staff” and “administrative managers” for non-manufacturing industries, in addition to regular “workers,” “engineers” and “managers” for manufacturing industries. With retailers opening stores or showrooms in city centers in mind, rents for such properties were also surveyed. In the period between the 19th and 18th (January 2008) surveys, local currencies fluctuated against the dollar substantially, particularly the Korean won, which fell by nearly 50%. The Pakistani rupee, the Indian rupee, the Indonesian rupiah and the Philippine peso also registered declines, of around 20%. These falls in local currencies (against the dollar) make it difficult to detect cost hikes/falls when the costs are measured in dollar terms. <Wages Rose on Inflation> JETRO (C) copyright 2009 All right reserved In 2008, wages followed an upward trend, along with the accelerating inflation, across the Asian region as a whole. -
Sustainability Assessment and Indicator Development: the Electricity System in Dalian, China
SUSTAINABILITY ASSESSMENT AND INDICATOR DEVELOPMENT: THE ELECTRICITY SYSTEM IN DALIAN, CHINA by Hendrik Rosenthal A thesis presented to the University of Waterloo in fulfillment of the thesis requirement for the degree of Master of Environmental Studies in Environment and Resource Studies Waterloo, Ontario, Canada, 2004 © Hendrik Rosenthal 2004 Author’s declaration for electronic submission of a thesis I hereby declare that I am the sole author of this thesis. This is a true copy of the thesis, including any required final revisions, as accepted by my examiners. I understand that my thesis may be made electronically available to the public. iii ABSTRACT Electricity is used all over the world as a basic source of energy, essential for lighting, powering basic appliances and tools, as well as many other technologies important for today’s societies. Electricity is produced, transmitted and distributed to consumers with a range of resources and technologies, resulting in a process that has impacts on sustainability. This thesis examines the interconnections among production, regulation and consumption of electricity, investigating the sustainability of the electricity system broadly defined. Under auspices of the Ecoplan China project, a case study approach is used to assess the sustainability of the electricity system in Dalian, China. Gibson (2002a) argues that sustainability ought to be conceptualized as a set of requirements, which are outlined as principles of sustainability. These principles, in this thesis, form the basis for a Sustainability Assessment of the electricity system in Dalian. The principles provide the analytical framework for reviewing the literature that discusses electricity in sustainability terms and in relation to China.