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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. -
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. -
Announcement on the Operating Statistics for the First Quarter of 2019
Hong Kong Exchanges and Clearing Limited and The Stock Exchange of Hong Kong Limited take no responsibility for the contents of this announcement, make no representation as to its accuracy or completeness and expressly disclaim any liability whatsoever for any loss howsoever arising from or in reliance upon the whole or any part of the contents of this announcement. Red Star Macalline Group Corporation Ltd. 紅星美凱龍家居集團股份有限公司 (A sino-foreign joint stock company incorporated in the People’s Republic of China with limited liability) (Stock Code: 1528) ANNOUNCEMENT ON THE OPERATING STATISTICS FOR THE FIRST QUARTER OF 2019 This announcement is made by Red Star Macalline Group Corporation Ltd. (the “Company”) pursuant to Rules 13.09 and 13.10B of the Rules Governing the Listing of Securities on The Stock Exchange of Hong Kong Limited (the “Listing Rules”) and the inside information provisions under Part XIVA of the Securities and Futures Ordinance (Cap. 571 of the Laws of Hong Kong) and the Rules Governing the Listing of Stocks on Shanghai Stock Exchange. The board of directors and all directors of the Company confirm that there are no false representations, misleading statements, or material omissions in this announcement, and they shall individually and collectively accept full responsibility for the truthfulness, accuracy and completeness of contents herein. In accordance with the relevant requirements under the Guidelines No. 5 on Industry Information Disclosure of Listed Companies — Retail (《上市公司行業信息披露指引第五號 — 零售》) and the Notice in relation to the Endeavour on Disclosure of the 2019 First-Quarter Report by the Listed Companies (《關於做好上市公司2019年第一季度報告披露工作的通知》) issued by the Shanghai Stock Exchange, the Company hereby discloses its principal operating statistics for the first quarter of 2019 (the “Reporting Period”) as follows: As of 31 March 2019, the Company operated 81 Portfolio Shopping Malls and 230 Managed Shopping Malls. -
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. -
The Effect of Beijing-Shanghai High-Speed Railway on the Economic Development of Prefecture-Level Cities Along the Line Based on DID Model
E3S Web of Conferences 235, 01016 (2021) https://doi.org/10.1051/e3sconf/202123501016 NETID 2020 The Effect of Beijing-Shanghai High-Speed Railway on the Economic Development of Prefecture-Level Cities Along the Line Based on DID Model Ma Yuzhou1 1School of Economics and Management, Beijing Jiaotong University, Beijing, China Abstract. High-speed railway has an essential impact on the economic and social development of the regions along the line. Based on the Beijing-Shanghai high-speed railway, this paper constructs the DID model and analyzes the impact of Beijing-Shanghai high-speed railway on the economic development of prefecture-level cities along the route from the empirical perspective. The empirical analysis results show that the Beijing- Shanghai high-speed railway has a significant negative impact on the per capita GDP of prefecture-level cities along the line in the short term, mainly because the agglomeration effect is greater than the diffusion effect. Therefore, small cities should actively think about how to deal with the agglomeration effect caused by the construction of high-speed rail. billion yuan. The line is a project with the most massive 1 Introduction scale and highest technique since the founding of China. The BSHSR, which owns faster speed, fewer stops, and Since the opening of Beijing-Tianjin intercity high-speed more running trains, adds a vital passenger transport railway in 2008, China's high-speed railway (abbreviated channel for the eastern region. BSHSR improves the to “HSR”, for short) has stepped into a rapid expansion transportation capacity of Beijing-Shanghai line, meets stage, and the "four vertical and four horizontal" HSR the ever-growing travel demand of passengers, and network planned and constructed by the state has taken strengthens the connection between the two urban clusters shape. -
Study on the Spatial-Temporal Pattern Evolution and Countermeasures of Regional Coordinated Development in Anhui Province, China
Current Urban Studies, 2020, 8, 115-128 https://www.scirp.org/journal/cus ISSN Online: 2328-4919 ISSN Print: 2328-4900 Study on the Spatial-Temporal Pattern Evolution and Countermeasures of Regional Coordinated Development in Anhui Province, China Yizhen Zhang1,2*, Weidong Cao1,2, Kun Zhang3 1School of Geography and Tourism, Anhui Normal University, Wuhu, China 2Urban and Regional Planning Research Center of Anhui Normal University, Wuhu, China 3College of Tourism, Huaqiao University, Quanzhou, China How to cite this paper: Zhang, Y. Z., Cao, Abstract W. D., & Zhang, K. (2020). Study on the Spatial-Temporal Pattern Evolution and Regional coordinated development was an important measure to resolve new Countermeasures of Regional Coordinated contradictions in the new era, and it has gradually become a hotspot in geog- Development in Anhui Province, China. raphy research. At three time points of 2010, 2013, and 2017, by constructing Current Urban Studies, 8, 115-128. an evaluation index system for the city comprehensive competitiveness, the https://doi.org/10.4236/cus.2020.81005 entropy method and the coupling coordination model were used to study the Received: March 2, 2020 coordinated development pattern of cities in Anhui Province. Moreover, we Accepted: March 27, 2020 tried to raise the issue of regional coordinated development in Anhui Prov- Published: March 30, 2020 ince and corresponding countermeasures. The results showed that the com- Copyright © 2020 by author(s) and prehensive competitiveness of cities in Anhui Province has strong spatio- Scientific Research Publishing Inc. temporal heterogeneity. The spatial development pattern with Hefei as the This work is licensed under the Creative core was more obvious. -
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 Logistics Efficiency of Anhui Province
2019 4th International Workshop on Materials Engineering and Computer Sciences (IWMECS 2019) Research on Logistics Efficiency of Anhui Province Han Yanhui School of Traffic and Transportation, Beijing Jiaotong University, P. R. China [email protected] Keywords: Logistics efficiency; DEA model; Anhui province Abstract: China's logistics industry has developed rapidly in recent years, and logistics efficiency is the main indicator that reflects the level of logistics development. This article first illustrated the situation of logistics development in Anhui Province and established an index system for evaluation of logistics efficiency, including four input indicators, the number of employees in the logistics industry, the mileage of graded roads, investment in fixed assets in the logistics industry and education expenditure, as well as two output indicators, the freight turnover volume and the added value of the logistics industry; then use the CCR-DEA and BCC-DEA models to evaluate the logistics efficiency of 16 cities of Anhui province. The results show that there is a phenomenon of unbalanced logistics development. Among them, Suzhou, Chizhou, and Anqing have low logistics efficiency, which is the bottleneck that limits the improvement of logistics efficiency in Anhui Province. 1. Introduction With the growth of China's economic level and the continuous transformation of economic growth pattern, the development level of logistics industry has become an important index to measure the comprehensive development level of a region. Anhui province is located in the middle and lower reaches of the Yangtze river and the Huaihe river. Together with Jiangsu, Shanghai and Zhejiang, forms the Yangtze river delta urban agglomeration. -
Reviving a Unique Anhui Merchant Culture Characterized by Teamwork, Moral Integrity, Honesty, and Loyalty to the Country
4 anhuispecial WEDNESDAY, NOVEMBER 2, 2011 CHINA DAILY Reviving a unique Anhui merchant culture Characterized by teamwork, moral integrity, honesty, and loyalty to the country By ZHAO SHIJUN legends by reviving those mil- lennium-old traditions, again, Over a thousand-year peri- for greater economic growth. od, the merchants of Anhui One way to do this is through province, collectively known the International Huishang as the Huishang, became a leg- Conference, which is held end for their hard work, enter- annually held in Hefei, Anhui’s prise, and honesty and made a capital. unique contribution to China’s This is the seventh year of development. the event, which is sponsored They began as vendors of by the provincial government, small articles in the countryside and is being held at the Binhu and cities of this ancient land International Convention and dominated by self-reliant agri- Exhibition Center in Hefei, culture, on China’s east coast. November 8-11. Gradually they turned to big- Its official name is the China ger operations with a sales net- Anhui Investment and Trade work that covered the country. Expo and it has become the Their success was unparalleled, province’s most important fair except by the merchants of trade and investment fair. Shanxi, who were also famous The organizing committee for their business acumen. reported that more than 3,000 The name Huishang was first representatives of Chinese used during the Jin Dynasty and foreign businesses will (265-420) and, for the next participate in both the con- thousand years, Anhui’s mer- ference and the China Hefei chants flourished, with a long High-tech Fair, previously an period of prosperity during the independent event but now a Ming (1368-1644) and Qing part of the conference, as of (1644-1911) dynasties. -
Appendix Iii: Property Valuation Report
THIS DOCUMENT IS IN DRAFT FORM, INCOMPLETE AND SUBJECT TO CHANGE AND THAT THE INFORMATION MUST BE READ IN CONJUNCTION WITH THE SECTION HEADED “WARNING” ON THE COVER OF THIS DOCUMENT. APPENDIX III PROPERTY VALUATION REPORT The following is the text of a letter, summary of values and valuation certificates prepared for the purpose of incorporation in this document received from Jones Lang LaSalle Corporate Appraisal and Advisory Limited, an independent valuer, in connection with its valuation as at April 30, 2021 of the property interests held by Sanxun Holdings Group Limited. [Date] The Board of Directors Sanxun Holdings Group Limited [address] Dear Sirs, In accordance with your instructions to value the property interests held by Sanxun Holdings Group Limited (the “Company”) and its subsidiaries (hereinafter together referred to as the “Group”) in the People’s Republic of China (the “PRC”), we confirm that we have carried out inspections, made relevant enquiries and searches and obtained such further information as we consider necessary for the purpose of providing you with our opinion on the market values of the property interests as at April 30, 2021 (the “valuation date”). Our valuation was carried out on a market value basis. Market value is defined as “the estimated amount for which an asset or liability should exchange on the valuation date between a willing buyer and a willing seller in an arm’s-length transaction after proper marketing and where the parties had each acted knowledgeably, prudently and without compulsion”. We have valued the property interests in Group I which are held for sale by the Group, property interests in Group III which are held for future development by the Group by the comparison approach assuming sale of the property interests in their existing state with the benefit of immediate vacant possession and by making reference to comparable sales transactions as available in the market. -
Effects of Ambient Temperature on Bacillary Dysentery: a Multi-City Analysis in Anhui Province, China
Science of the Total Environment 671 (2019) 1206–1213 Contents lists available at ScienceDirect Science of the Total Environment journal homepage: www.elsevier.com/locate/scitotenv Effects of ambient temperature on bacillary dysentery: A multi-city analysis in Anhui Province, China Yanbin Hao a,e,1, Wenmin Liao a,1,WanwanMab,1, Jin Zhang b,NaZhanga,ShuangZhongc,ZheWangd,⁎, Lianping Yang a,⁎⁎,CunruiHuanga a Department of Health Policy and Management, School of Public Health, Sun Yat-Sen University, Guangzhou 510080, Guangdong, China b Anhui Provincial Center for Disease Control and Prevention, Hefei 230601, Anhui, China c Center for Chinese Public Administration Research, School of Government, Sun Yat-Sen University, Guangzhou 510080, Guangdong, China d Chinese Center for Disease Control and Prevention, 102206 Beijing, China e Department of Preventive Medicine, Gannan Medical University, Ganzhou 341000, Jiangxi, China HIGHLIGHTS GRAPHICAL ABSTRACT • High weekly mean temperature in- creased risks of bacillary dysentery (BD) in Anhui. • Urbanization level modified associa- tions between high temperature and BD incidence. • For children b5, effect of high tempera- ture on BD increased in high urbanized cities. article info abstract Article history: Background: Rising ambient temperature is expected to increase incidence of bacillary dysentery (BD), but few Received 10 December 2018 studies have compared the temperature-BD effects of different age groups and cities in China, especially in a Received in revised form 18 March 2019 multi-city setting. Accepted 28 March 2019 Objectives: We used city-specific data including BD cases and meteorological variables to determine the relation- Available online 29 March 2019 ship between BD incidence and temperature at provincial level. -
Modelling the Effects of Wuhan's Lockdown During COVID-19, China
Research Modelling the effects of Wuhan’s lockdown during COVID-19, China Zheming Yuan,a Yi Xiao,a Zhijun Dai,a Jianjun Huang,a Zhenhai Zhangb & Yuan Chenb Objective To design a simple model to assess the effectiveness of measures to prevent the spread of coronavirus disease 2019 (COVID-19) to different regions of mainland China. Methods We extracted data on population movements from an internet company data set and the numbers of confirmed cases of COVID-19 from government sources. On 23 January 2020 all travel in and out of the city of Wuhan was prohibited to control the spread of the disease. We modelled two key factors affecting the cumulative number of COVID-19 cases in regions outside Wuhan by 1 March 2020: (i) the total the number of people leaving Wuhan during 20–26 January 2020; and (ii) the number of seed cases from Wuhan before 19 January 2020, represented by the cumulative number of confirmed cases on 29 January 2020. We constructed a regression model to predict the cumulative number of cases in non-Wuhan regions in three assumed epidemic control scenarios. Findings Delaying the start date of control measures by only 3 days would have increased the estimated 30 699 confirmed cases of COVID-19 by 1 March 2020 in regions outside Wuhan by 34.6% (to 41 330 people). Advancing controls by 3 days would reduce infections by 30.8% (to 21 235 people) with basic control measures or 48.6% (to 15 796 people) with strict control measures. Based on standard residual values from the model, we were able to rank regions which were most effective in controlling the epidemic.