DOCSLIB.ORG

9 Resettlement Implementation Scheduling

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
9 Resettlement Implementation Scheduling SFG1002 Public Disclosure Authorized World Bank Financed Tongren Rural Roads Project Public Disclosure Authorized Resettlement Action Plan Public Disclosure Authorized World Bank Financed Rural Roads Project Management Office Tongren City, Guizhou Province Public Disclosure Authorized March 2015 Table of Contents 1 Project Overview .......................................................................................................................... 1 1-1 Objectives and Justification of the Project.............................................................................. 1 1-1-1 Project Objectives ............................................................................................................ 1 1-1-2 Project Justification ......................................................................................................... 1 1-2 Project Components ................................................................................................................ 4 1-2-1 Selection of Subprojects .................................................................................................. 4 1-2-2 Project Components ........................................................................................................ 5 1-3 Project-affected Areas and Project-benefited Areas .............................................................. 10 1-3-1 Scope of Project Impact ................................................................................................. 10 1-3-2 Social and Economic Status of the Project-affected Area ............................................. 14 1-3-3 Project-benefited Area and Population .......................................................................... 19 1-4 Project Design and Approval ................................................................................................ 20 1-5 Overall Budget and Fund Sources of the Project .................................................................. 22 1-6 Measures to Reduce Adverse Impact and Minimize Land Acquisition and House Demolition .................................................................................................................................................... 23 2 Project Impact Analysis ............................................................................................................. 25 2-1 Project Impact Survey ........................................................................................................... 25 2-1-1 Determination of Project Impact Scope ......................................................................... 25 2-1-2 Survey Method and Procedures ..................................................................................... 26 2-1-3 Content of Survey .......................................................................................................... 26 2-1-4 Survey Process .............................................................................................................. 27 2-2 Impact of Land Acquisition .................................................................................................. 28 2-2-1 Permanent Land Acquisition ......................................................................................... 28 2-2-2 Temporary Land Acquisition ......................................................................................... 31 2-2-3 Land Acquisition Impact Assessment ............................................................................ 31 2-3 Project-affected Buildings .................................................................................................... 35 2-3-1 Type and Volume of Affected Buildings ........................................................................ 35 2-3-2 Impact of Building Demolition on Life of Local Residents .......................................... 36 2-4 Affected Enterprises or Organizations .................................................................................. 37 2-5 Project-affected Households and Population ........................................................................ 37 2-5-1 Volume of Affected Households and Population ........................................................... 37 2-5-2 Demographic Characteristics of Affected Households .................................................. 38 2-5-3 Analysis on Economic Conditions of Affected Households .......................................... 39 2-6 Project-affected Vulnerable Population ................................................................................ 41 2-6-1 Definition of Vulnerable Population .............................................................................. 41 2-6-2 Quantity of Affected Vulnerable Groups ....................................................................... 42 2-7 Project-affected Land Attachments and Infrastructure ......................................................... 45 2-7-1 Project-affected Land Attachments................................................................................ 45 2-7-2 Project-affected Infrastructures ..................................................................................... 47 2-8 Other Impacts ....................................................................................................................... 47 3 Laws and Policies of Resettlement ............................................................................................ 48 3-1 Legal Basis of RAP .............................................................................................................. 48 3-2 Briefs of State Laws and Regulations on Land Acquisition and Demolition ....................... 49 3-3 Involuntary Resettlement Policies of the World Bank .......................................................... 54 3-4 Policy Difference between China and the World Bank ......................................................... 56 3-5 Resettlement Policies and Principles of the Project .............................................................. 57 4 Compensation Standards .......................................................................................................... 60 4-1 Compensation for Rural and Collective Land Acquisition ................................................... 60 4-1-1 Consultation and Determination of Land Compensation Policies ................................. 60 4-1-2 Compensation Standard for Rural Collective Land ....................................................... 61 4-1-3 Compensation for Temporary Land Occupation ........................................................... 62 4-1-4 Compensation Standard for Young Crops and Land Attachments ................................. 63 4-2 Compensation for Housing/Building Demolition ................................................................. 64 4-2-1 Compensation Standard for Housing Demolition.......................................................... 64 4-2-2 Compensation Standard for Ancillary Facilities of Housing ......................................... 65 4-2-3 Compensation Standard for Relocation and Interim ..................................................... 65 4-2-3 Compensation Standard for Housing Decoration .......................................................... 66 5 Income Restoration and Relocation Plan ................................................................................. 67 5-1. Impact Analysis of Land Acquisition on PAP’s Income ...................................................... 67 5-2 Income Restoration Program and Measures ......................................................................... 67 5-2-1 Timely and Adequate Compensation for Land Acquisition ........................................... 67 5-2-2 Sharing Project-related Benefits .................................................................................... 68 5-3 House Demolition, Reconstruction and Relocation .............................................................. 70 5-3-1 Impact Analysis of House Demolition on PAP’s Living Quality .................................. 70 5-3-2 Options for House Reconstruction ................................................................................ 70 5-3-3 Location Selection for House Reconstruction ............................................................... 71 5-3-4 House Demolition and Reconstruction Schedule .......................................................... 71 6 Public Consultation & Participation and Information Disclosure ........................................ 73 6-1 The Role of Public Participation and Consultation ............................................................... 73 6-2 Focuses of Public Consultation and Participation ................................................................ 74 6-3 Method and Procedure of the Public Consultation and Participation ................................... 76 6-3-1 Method of Public Consultation and Participation .......................................................... 76 6-3-2 Major Findings of Public Consultation and Participation ............................................. 78 6-4 Resettlement Information Disclosure ................................................................................... 80 7 PAPs’ Grievances and Complaints ........................................................................................... 81 7-1 Methods to Collect PAPs’ Grievances and Complaints ........................................................ 81 7-2 Procedures for Dealing with Grievances
Load more

Recommended publications
  • Supplemental Information
    Supplemental information Table S1 Sample information for the 36 Bactrocera minax populations and 8 Bactrocera tsuneonis populations used in this study Species Collection site Code Latitude Longitude Accession number B. minax Shimen County, Changde SM 29.6536°N 111.0646°E MK121987 - City, Hunan Province MK122016 Hongjiang County, HJ 27.2104°N 109.7884°E MK122052 - Huaihua City, Hunan MK122111 Province 27.2208°N 109.7694°E MK122112 - MK122144 Jingzhou Miao and Dong JZ 26.6774°N 109.7341°E MK122145 - Autonomous County， MK122174 Huaihua City, Hunan Province Mayang Miao MY 27.8036°N 109.8247°E MK122175 - Autonomous County, MK122204 Huaihua City, Hunan Province Luodian county, Qiannan LD 25.3426°N 106.6638°E MK124218 - Buyi and Miao MK124245 Autonomous Prefecture, Guizhou Province Dongkou County, DK 27.0806°N 110.7209°E MK122205 - Shaoyang City, Hunan MK122234 Province Shaodong County, SD 27.2478°N 111.8964°E MK122235 - Shaoyang City, Hunan MK122264 Province 27.2056°N 111.8245°E MK122265 - MK122284 Xinning County, XN 26.4652°N 110.7256°E MK122022 - Shaoyang City,Hunan MK122051 Province 26.5387°N 110.7586°E MK122285 - MK122298 Baojing County, Xiangxi BJ 28.6154°N 109.4081°E MK122299 - Tujia and Miao MK122328 Autonomous Prefecture, Hunan Province 28.2802°N 109.4581°E MK122329 - MK122358 Guzhang County, GZ 28.6171°N 109.9508°E MK122359 - Xiangxi Tujia and Miao MK122388 Autonomous Prefecture, Hunan Province Luxi County, Xiangxi LX 28.2341°N 110.0571°E MK122389 - Tujia and Miao MK122407 Autonomous Prefecture, Hunan Province Yongshun County, YS 29.0023°N
    [Show full text]
  • Application of AHP Method and TOPSIS Method in Comprehensive Economic Strength Evaluation of Major Cities in Guizhou Province
    2017 International Conference on Computer Science and Application Engineering (CSAE 2017) ISBN: 978-1-60595-505-6 Application of AHP Method and TOPSIS Method in Comprehensive Economic Strength Evaluation of Major Cities in Guizhou Province Liang Zhou*, Changdi Shi and Liming Luo Information Engineering College, Capital Normal University, 100048 Beijing, China ABSTRACT This paper establishes the comprehensive economic strength evaluation system of major cities in Guizhou province, and puts forward the evaluation model of comprehensive economic strength of major cities in Guizhou province based on the AHP method and the TOPSIS method. The AHP method was used to determine the weight of evaluation indicator. The TOPSIS method is used to calculate the positive and negative ideal solutions, analyses the case, and then the final ranking of the comprehensive economic strength of the major cities in Guizhou province. The result shows that the final ranking, from high to low, of comprehensive economic strength of the major cities in Guizhou province is: Guiyang, Zunyi, Liupanshui, Tongren and Anshun. The evaluation system of the comprehensive economic strength indicator of the major cities in Guizhou province has a certain practicability, which provides an evaluation basis in comprehensive economic strength for the major cities in Guizhou province. INTRODUCTION In recent years, with the establishment of large data centers and the promulgation of precision poverty alleviation policies, the national economy and social development of the major cities in Guizhou have made breakthrough progress, but the cities developed unevenly, so it is necessary to explore how to establish a good and scientific comprehensive economic evaluation system. This paper is focused on evaluating the comprehensive economic strength of major cities in Guizhou province effectively.
    [Show full text]
  • Ethnic Minority Development Plan
    Ethnic Minority Development Plan Project Number: 51116-002 September 2018 People’s Republic of China: Yangtze River Green Ecological Corridor Comprehensive Agriculture Development Project Prepared by the State Office for Comprehensive Agricultural Development for the Asian Development Bank CURRENCY EQUIVALENTS (as of 24 September 2018) Currency unit – yuan (CNY) CNY1.00 = $0.1458 $1.00 = CNY6.8568 ABBREVIATIONS AB – Agriculture Bureau ACWF – All China Women’s Federation ADB – Asian Development Bank AP – affected person CDC – Center for Disease Control COCAD – County Office for Comprehensive Agricultural Development CPMO – County Project Management Office EM – ethnic minority EMDP – ethnic minority development plan EMP – environmental management plan EMRAO – Ethnic Minority and Religious Affairs Office FB – Forest Bureau FC – farmer cooperative GAP – gender action plan HH – household LSSB – Labor and Social Security Bureau LURT – land use rights transfer M&E – monitoring and evaluation NPMO – national project management office PA – project area PIC – project implementation consultant POCAD – Provincial Office for Comprehensive Agricultural Development PPMO – Provincial Project Management Office PPMS – project performance monitoring system PRC – People’s Republic of China SD – Sanitation Department SOCAD State Office for Comprehensive Agricultural Development TO – Township Office TRTA – Transaction technical assistance WCB – Water Conservancy Bureau WEIGHTS AND MEASUREMENTS ha – hectare km – kilometer km2 – square kilometer m3 – cubic meter NOTE In this report, “$” refers to US dollars. This ethnic minority development plan is a document of the borrower. The views expressed herein do not necessarily represent those of ADB's Board of Directors, Management, or staff, and may be preliminary in nature. Your attention is directed to the “terms of use” section of this website.
    [Show full text]
  • INTEGRATED SAFEGUARDS DATA SHEET APPRAISAL STAGE Report No.: ISDSA14979 0
    INTEGRATED SAFEGUARDS DATA SHEET APPRAISAL STAGE Report No.: ISDSA14979 0 Public Disclosure Authorized Date ISDS Prepared/Updated: 31-Jul-2015 o Date ISDS Approved/Disclosed: 25-Jun-2015, 06-Aug-2015 I. BASIC INFORMATION 1. Basic Project Data Country: China Project ID: P148071 Project Name: Guizhou Tongren Rural Transport Project (P 148071) Task Team Holly Krambeck Leader(s): Estimated 16-Mar-2015 Estimated 25-Sep-2015 Appraisal Date: Board Date: Public Disclosure Authorized Managing Unit: GTIO2 Lending Investment Project Financing Instrument: Sector(s): Rural and Inter-Urban Roads and Highways (100%) Theme(s): Rural services and infrastructure (100%) Is this project processed under OP 8.50 (Emergency Recovery) or OP No 8.00 (Rapid Response to Crises and Emergencies)? Financing (In USD Million) Total Project Cost: 231.79 Total Bank Financing: 150.00 Financing Gap: 0.00 Public Disclosure Authorized Financing Source Amount O Borrower 81.79 International Bank for Reconstruction and Development 150.00 Total 231.79 Environmental B - Partial Assessment Category: Is this a No Repeater project? 2. Project Development Objective(s) The project development objective is to improve rural transport connectivity in Dejiang and Sinan Public Disclosure Authorized counties. 3. Project Description Tongren has an unusually challenging natural topography, with 96 percent of its area comprising mountainous terrain. Although road conditions and connectivity have improved over the last three Page 1 of 10 decades, the overall transport network service level is still relatively low - by the end of 2012, nearly 69 percent of roads in Tongren were unclassified roads, and only 21 percent of villages in Dejiang and Sinan counties were connected by classified roads.
    [Show full text]
  • People's Republic of China FY2017 Ex-Post Evaluation of Japanese
    People's Republic of China FY2017 Ex-Post Evaluation of Japanese ODA Loan Project “Guizhou Province Environment Improvement and Education Project” External Evaluators: Toshihiro Nishino/Ayako Nomoto, International Development Center of Japan Inc. 0. Summary The project aimed to improve environment and hygiene, and to develop human resources in local farming villages and suburban cities in 12 national poverty-stricken counties in Guizhou Province by constructing or improving facilities for (i) environmental measures such as methane gas facilities, waste and disposal facilities, and reforestation; (ii) hygiene measures such as roads for daily use, water supply, and medical services; and (iii) senior high school buildings. The project has been consistent with China’s development plans and development needs as well as with Japan’s ODA policy. Therefore, the relevance of the project is high. Although the project cost was within the plan, the project period significantly exceeded it. Therefore, the efficiency of the project is low. The effectiveness/impact is high. Indicators set to measure quantitative effects such as culling of forests, flooded area, volume of soil erosion, percentage of population served water, number of patients, volume and percentage of waste disposed, and senior high school enrollment rate have largely achieved targets or improved. As to qualitative effects, improvements in the environment (including living environment) such as the decrease in the collection of firewood and charcoal, improvement of medical services, improvement of hygiene as well as effects of education have been observed. As for impacts, a decrease in the population of rural poverty, regional economic development, sustainable environmental and social development, and a reduction in the women’s household workload have been observed.
    [Show full text]
  • Download Article (PDF)
    Journal of Risk Analysis and Crisis Response Vol. 9(4); January (2020), pp. 163–167 DOI: https://doi.org/10.2991/jracr.k.200117.001; ISSN 2210-8491; eISSN 2210-8505 https://www.atlantis-press.com/journals/jracr Research Article The Harmonious Development of Big Data Industry and Financial Agglomeration in Guizhou Junmeng Lu1,2,*, Mu Zhang1 1School of Big Data Application and Economics, Guizhou University of Finance and Economics, Guiyang, Huaxi, China 2Guizhou Institution for Technology Innovation and Entrepreneurship Investment, Guizhou University of Finance and Economics, Guiyang, Huaxi, China ARTICLE INFO ABSTRACT Article History It has important practical and theoretical significance to study the coupling relationship and coordinated development between Received 31 January 2019 big data industry and financial agglomeration. This paper used 2015 cross-section data, the intuitionistic fuzzy analytic hierarchy Accepted 17 October 2019 process, the intuitionistic fuzzy number score function, the coupling model and the coupling coordination model to empirically research the coupling and coordination level between Guizhou big data industry and financial agglomeration. The empirical Keywords research shows that there is an obvious imbalance in the coordinated development and obvious spatial heterogeneity of big Big data industry data industry and financial agglomeration in Guizhou. Only Guiyang and Zunyi can achieve the coupling and coordinated financial agglomeration development of big data industry and financial agglomeration. IFAHP coupling model © 2020 The Authors. Published by Atlantis Press SARL. coupled coordination model This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/). 1. INTRODUCTION region and improve the efficiency of resource allocation.
    [Show full text]
  • Study on the Influence of Expressway Development On
    2021 International Conference on Management, Economics, Business and Information Technology (MEBIT 2021) ISBN: 978-1-60595-097-6 Study on the Influence of Expressway Development on Urban Accessibility in Guizhou Province Yi-lin ZHANG1,2,3,a, Yu ZHANG1,2,3,b, Rui DING1,2,3,c,*, Yi-ming DU1,2,3,d, Ting ZHANG1,2,3,e and Tao ZHOU1,2,3,f 1College of Big Data Application and Economics (Guiyang College of Big Data Finance), Guizhou University of Finance and Economics, Guiyang, China 2Key Laboratory of Green Fintech, Guizhou University of Finance and Economics, Guiyang, China 3Guizhou Key Laboratory of Big Data Statistical Analysis, Guizhou University of Finance and Economics, Guiyang, China [email protected], [email protected], [email protected], [email protected], [email protected], [email protected] *Corresponding author Keywords: Expressway, Node Accessibility, Daily Accessibility, Regional Average Accessibility. Abstract: The construction and development of the expressway network has far-reaching significance for the economic growth of Guizhou Province. In this paper, ArcGIS was used to calculate the nodal accessibility, daily accessibility and regional average accessibility of the expressway network in Guizhou Province, and the evolution of the spatial pattern of accessibility under the influence of expressways in Guizhou Province from 2012 to 2019 was analyzed through three different dimensions of accessibility indicators. The results show that with the continuous construction of expressways, the accessibility of the whole province continues to improve. Guiyang, as the provincial capital city, improved the accessibility of expressways the most during the last 7 years. However, due to the inequality of resources, there are still spatial differences in traffic capacity between cities and cities.
    [Show full text]
  • Spatial Correlation Between Type of Mountain Area and Land Use Degree in Guizhou Province, China
    sustainability Article Spatial Correlation between Type of Mountain Area and Land Use Degree in Guizhou Province, China Yuluan Zhao 1,2 and Xiubin Li 2,* 1 School of Geographic and Environmental Sciences, Guizhou Normal University, Guiyang 550001, China; [email protected] 2 Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China * Correspondence: [email protected]; Tel.: +86-10-6488-9297 Academic Editors: Fausto Cavallaro and Marc A. Rosen Received: 17 May 2016; Accepted: 24 August 2016; Published: 29 August 2016 Abstract: A scientific definition of the type of mountain area and an exploration of the spatial correlation between different types of mountain areas and regional land use at the county level are important for reasonable land resource utilization and regional sustainable development. Here, a geographic information system was used to analyze digital elevation model data and to define the extent of mountainous land and types of mountain areas in Guizhou province. Exploratory spatial data analysis was used to study the spatial coupling relation between the type of mountain area and land use degree in Guizhou province at the county level. The results were as follows: (1) Guizhou province has a high proportion of mountainous land, with a ratio of mountainous land to non-mountainous land of 88:11. The county-level administrative units in Guizhou province were exclusively mountainous, consisting of eight semi mountainous counties, nine quasi mountainous counties, 35 apparently mountainous counties, 13 type I completely mountainous counties, and 23 type II completely mountainous counties; (2) The land use degree at the county level in Guizhou province have remarkable spatial differentiation characteristics.
    [Show full text]
  • Ophiorrhiza Guizhouensis (Rubiaceae), a New Species from Guizhou Province, Southwestern China
    A peer-reviewed open-access journal PhytoKeys 95: Ophiorrhiza121–126 (2018) guizhouensis (Rubiaceae), a new species from Guizhou Province... 121 doi: 10.3897/phytokeys.95.22506 RESEARCH ARTICLE http://phytokeys.pensoft.net Launched to accelerate biodiversity research Ophiorrhiza guizhouensis (Rubiaceae), a new species from Guizhou Province, southwestern China Chuan-Dong Yang1,2, Xuan-Ze He3, Guang-Qian Gou3 1 Tongren University, Tongren 554400, Guizhou, China 2 Fanjingshan National Nature Reserve Administra- tion of Guizhou, Tongren 554400, Guizhou, China 3 College of Life Sciences, Guizhou University, Guiyang 550025, Guizhou, China Corresponding author: Guang-Qian Gou ([email protected]) Academic editor: Y. Mutafchiev | Received 24 November 2017 | Accepted 21 February 2018 | Published 6 March 2018 Citation: Yang C-D, He X-Z, Gou G-G (2018) Ophiorrhiza guizhouensis (Rubiaceae), a new species from Guizhou Province, southwestern China. PhytoKeys 95: 121–126. https://doi.org/10.3897/phytokeys.95.22506 Abstract In this study, Ophiorrhiza guizhouensis, a new species of Rubiaceae from south-western China, is described and illustrated. The new species is morphologically similar toO. japonica, but differs from the latter by having terete stems which are densely hirtellous, usually persistent ciliate stipules with well-developed colleters inside the base of the stipule, shorter corolla tubes and shorter stamens and styles. Keywords Ophiorrhiza, Guizhou, China, new taxa, distyly Introduction Ophiorrhiza L. is a member of tribe Ophiorrhizeae, subfamily Rubioideae, Rubiaceae (Bremer and Eriksson 2009), including more than 300 species worldwide (WCSPF 2017). The genus is mainly distributed in wet tropical forests of South-East Asia, ex- tending to Australia, New Guinea and the Pacific Islands (Darwin 1976, Chen and Taylor 2011).
    [Show full text]
  • Decomposition of Industrial Electricity Efficiency and Electricity-Saving Potential of Special Economic Zones in China Consideri
    energies Article Decomposition of Industrial Electricity Efficiency and Electricity-Saving Potential of Special Economic Zones in China Considering the Heterogeneity of Administrative Hierarchy and Regional Location Jianmin You 1,2, Xiqiang Chen 1 and Jindao Chen 1,* 1 School of Economics and Statistics, Guangzhou University, Guangzhou 510006, China; [email protected] (J.Y.); [email protected] (X.C.) 2 Guizhou Institute of Local Modernized Governance, Guizhou Academy of Social Science, Guiyang 550002, China * Correspondence: [email protected] Abstract: Special Economic Zones (SEZs), an important engine of industrial economic development in China, consume large amounts of energy resources and emit considerable CO2. However, existing research pays little attention to industrial energy usage in SEZs and ignores the heterogeneity of administrative hierarchy and regional location. Considering the dual heterogeneity, this study proposes an improved two-dimension and two-level meta-frontier data envelopment analytical model to decompose the industrial electricity efficiency (IEE) and electricity-saving potential of SEZs in Guizhou Province, China, based on 4-year field survey data (2016–2019). Results show that the IEE Citation: You, J.; Chen, X.; Chen, J. rankings of three administrative hierarchies within SEZs are provincial administration SEZs, county Decomposition of Industrial Electricity Efficiency and administration SEZs, and municipality administration SEZs. The SEZs located in energy resource- Electricity-Saving Potential of rich areas and better ecological environmental areas have higher IEE than those in resource-poor Special Economic Zones in China areas and ecology fragile areas, respectively. This study can provide reference for policymakers to Considering the Heterogeneity of formulate effective policies for improving the electricity use efficiency of SEZs in China.
    [Show full text]
  • Using a Coupled Human-Natural System to Assess the Vulnerability of the Karst Landform Region in China
    Sustainability 2015, 7, 12910-12925; doi:10.3390/su70912910 OPEN ACCESS sustainability ISSN 2071-1050 www.mdpi.com/journal/sustainability Article Using a Coupled Human-Natural System to Assess the Vulnerability of the Karst Landform Region in China Xiang He 1,2,3, Zhenshan Lin 1,3,* and Kangning Xiong 4 1 College of Geographical Science, Nanjing Normal University, No.1 Wenyuan road, Qixia district, Nanjing 210023, China; E-Mail: [email protected] 2 College of Tourism, Kaili University, No. 3 Kaiyuan Avenue, Develop district, Kaili 556011, China 3 Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China 4 School of Karst Science, Guizhou Normal University, No.116 Baoshan North Road, Guiyang 550001, China. E-Mail: [email protected] * Author to whom correspondence should be addressed; E-Mail: [email protected]; Tel.: +86-138-8550-9987; Fax: +86-25-8589-1347. Academic Editor: Marc A. Rosen Received: 5 July 2015 / Accepted: 17 September 2015 / Published: 18 September 2015 Abstract: Guizhou Plateau is a region in China that typically shows the contradictory human-earth system. A vulnerability assessment indicator system was constructed to explore the coupled human-natural system characteristic of the karst landform based on the grey correlation analysis mathematic model. The quantitative assessment results show that Qiandongnan and Tongren Districts belong to the slight degree of the sensitivity evaluation index. Bijie district belongs to the middle degree and the other districts of Guizhou Plateau belong to the light degree. In terms of the exposure and resilience evaluation index, only Guiyang City belongs to the slight degree and other districts are in the middle degree.
    [Show full text]
  • Matcha Without Match Esting Experience in Brewing It,” Quarroz Says
    18 | Tuesday, July 21, 2020 HONG KONG EDITION | CHINA DAILY LIFE Designing to drink across cultures By MA ZHENHUAN in Hangzhou [email protected] Swiss designer Didier Rudolf Quarroz’s love of Chinese tea cul- ture has inspired him to design innovative new items to brew the beverage. The graduate of the renowned Swiss design school, ECAL (Uni- versity of Art and Design Lau- sanne), developed an interest in Chinese tea after working at a Shanghai-based design company, where he was by chance engaged in a tea project. Tea plantations have turned the once-barren mountains into a land of hope in Guizhou province. PROVIDED TO CHINA DAILY His research helped him hone a deep understanding of the dif- ferences between Chinese and Western tea products. This made him think about designing items for foreigners to brew Chinese tea. “I hope to design easy-to-use and modern tea-making tools to help foreigners try Chinese tradi- tional tea and give them an inter- Matcha without match esting experience in brewing it,” Quarroz says. In 2017, he moved to The tea product has brought rapid development to a previously impoverished Hangzhou, capital of East China’s Zhejiang province and a major swathe of Guizhou province, report Cheng Yuezhu in Beijing and Yang Jun in Guiyang. tea-production base, to explore the possibilities of applying West- any cities in Southwest Chi- production allows the tea leaves picked ern concepts in design to the na’s Guizhou province have in summer and autumn to be used and brewing of Chinese tea.
    [Show full text]