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Resettlement Plan People's Republic of China: Jiangxi Ganzhou Rural
Resettlement Plan Document Stage: Draft Project Number: 53049-001 August 2021 People’s Republic of China: Jiangxi Ganzhou Rural Vitalization and Comprehensive Environment Improvement Prepared by Ganzhou Municipal People's Government Leading Group Office for the ADB Loan Project in Ganzhou for the Asian Development Bank. CURRENCY EQUIVALENTS (as of 2 August 2021) Currency unit - yuan (CNY) CNY1.00 = US$0.1548 US$1.00 = CNY6.4615 ABBREVIATIONS ADB – Asian Development Bank AP – Affected Person CNY – Chinese Yuan DDR – Due diligence report DI – Design Institute DMS – Detailed Measurement Survey FSR – Feasibility Study Report GRM – Grievance Redress Mechanism HH – Household IA – Implementing Agency LA – Land Acquisition LURT – Land Use Right Transfer LURPI – Land Use for Rural Public Infrastructures PA – Project Area PMO – Project Management Office RP – Resettlement Plan SOL – State-Owned Land WF – Women’s Federation GLOSSARY Affected Persons – In the context of involuntary resettlement, affected persons are those who are physically displaced (relocation, loss of residential land, or loss of shelter) and/or economically displaced (loss of land, assets, access to assets, income sources, or means of livelihoods) because of (i) involuntary acquisition of land, or (ii) involuntary restrictions on land use or on access to legally designated parks and protected areas. Compensation – Money or payment given to affected persons for property, resources, and income losses. Entitlement – According to the loss’s categories of affected persons, they are entitled to get compensation, income restoration, relocation costs, income subsidies and resettlement to restore socioeconomic conditions. Income Restoration – Rebuild the affected persons’ source of income and living standard. Resettlement – Rebuild houses and properties including productive land and public facilities at another area. -
Oktober 2019 Land Name Adresse Warengruppe Mitarbeiteranzahl
Produktionsstätten nach Land Letzte Aktualisierung: Oktober 2019 Land Name Adresse Warengruppe Mitarbeiteranzahl Ägypten Arab Novelties Weaving Terry Co. El Rahbeen Industrial Zone-Front Of Moubark Cool, El-Mahalla El-Kubra, Al Gharbiyah Heimtextilien 0-500 Mac Carpet 10th Ramadad City, Zone B1B3, 1o th of Ramadan Heimtextilien 3001-4000 Oriental Weavers 10th of Ramadan City, Industrial A1, Industrial 1 El Sharkeya, Kairo Heimtextilien >5000 The Egyptian Company for Trade Industry Canal Suez St. Moharam Bey, Manshia Guededah, 00203 Alexandria Bekleidungstextilien 0-500 Bangladesch ABM Fashions Ltd. Kashimpur Road, Holding No. 1143-1145, Konabari, 1751 Gazipur Bekleidungstextilien 3001-4000 AKH Stitch Art Ltd. Chandanpur, Rajfulbaria,Hemayetpur, Savar, 1340 Dhaka Bekleidungstextilien 2001-3000 Ananta Jeanswear Ltd. Kabi Jashim Uddin Road No. 134/123, Pagar, Tongi, 1710 Gazipur Bekleidungstextilien 3001-4000 Aspire Garments Ltd. 491, Dhalla Bazar, Singair,1820 Manikganj Bekleidungstextilien 2001-3000 BHIS Apparels Ltd. Dattapara No. 671, 0-5 Floor, Tongi, Hossain Market, 1712 Gazipur/Dhaka Bekleidungstextilien 2001-3000 Blue Planet Knitwear Ltd. P.O: Tengra, Sreepur, Sreepur, Gazipur District 1740, Dhaka Bekleidungstextilien 1001-2000 Chaity Composite Ltd. Chotto Silmondi, Tirpurdi, Sonargaon, Narayangonj, 1440 Dhaka Bekleidungstextilien 4001-5000 Chorka Textile Ltd. Kazirchor, Danga, Polas, Narshingdi,1720 Narshingdi-Dhaka Bekleidungstextilien 4001-5000 Citadel Apparels Ltd. Joy Bangla Road, Kunia, K.B. Bazar, Gazipur Sadar, Gazipur 1704 Dhaka Bekleidungstextilien 501-1000 Cotton Dyeing & Finishing Mills Ltd. Amtoli Union No. 10, Habirbari, P. O-Seedstore Bazar, P.S.-Valuka, Mymensingh-2240, Bekleidungstextilien 1001-2000 Mymensingh, 2240 Dhaka Crossline Factory (Pvt) Ltd. Vadam 25, Uttarpara, Nishatnagar, Tongi, Gazipur, 1711 Dhaka Bekleidungstextilien 1001-2000 Crossline Knit Fabrics Ltd. -
World Bank Document
E519 Volume 1 ProjectWith Loans From the World Bank Public Disclosure Authorized People's Republic of China World Bank FinancedJiangii Integrated Agricultural Modernization Project (JIAMP) Environmental Impact Assessment Report Public Disclosure Authorized ( Final Draft) Public Disclosure Authorized Jiangxi Provincial Environmental Protection Research Institute State Environmental Assessment Certificate Grade A No. 2303 Public Disclosure Authorized Entrusted by Jmgxi Provincial Agricultural Office for Foreig Capital Utlization November, 2001 FILECOPY Project With Loans From the World Bank < People's Republic of China World Bank Financed Jiangxi Integrated Agricultural Modernization Project (JIAMP) Environmental Impact Assessment Report ( Final Draft) Jiangxi Provincial Environmental Protection Research Institute State Environmental Assessment Certificate Grade A No. 2303 Entrusted by Jiangxi Provincial Agricultural Office for Foreign Capital Utilization November, 2001 People's Republic of China World Bank Financed Jiangxi Integrated Agricultural Modernization Project (JIAMIP) Environmental Impact Assessment Report (Final Draft) Compiler: Jiangxi Provincial Environmental Protection Research Institute Director: Shi Jing Senior Engineer Chief Engineer: Long Gang Senior Engineer [(ES) Qualification Certificate No. 087141 Technical Review: Zhu Baiming Senior Engineer [(ES) Qualification Certificate No. 08872] Project Leader: Shi Jing Senior Engineer [(ES) Qualification Certificate No. 087111 Project Deputy Leader: Zuo Zhu Senior Engineer [(ES) -
Research on the Negative Externalities Evaluation for the Development of Weathered Crust Elution-Deposited Rare Earth Ores
Hindawi Advances in Materials Science and Engineering Volume 2020, Article ID 8130196, 11 pages https://doi.org/10.1155/2020/8130196 Research Article Research on the Negative Externalities Evaluation for the Development of Weathered Crust Elution-Deposited Rare Earth Ores Xu Ligang 1,2 and Xu Meijuan2 1Beijing University of Science and Technology, Metal Mine Efficient Mining and Safety Ministry of Education Key Laboratory, Beijing 100083, China 2Jiangxi University of Technology Mining Development Research Center, Ganzhou, Jiangxi 341000, China Correspondence should be addressed to Xu Ligang; [email protected] Received 19 July 2020; Revised 14 September 2020; Accepted 20 September 2020; Published 5 October 2020 Academic Editor: Hossein Moayedi Copyright © 2020 Xu Ligang and Xu Meijuan. +is is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. To standardize the specification of negative externality management of mining resources development and promote the process of marketization and diversification of ecological compensation, the article reviews the perspective and method of quantitative evaluation of negative externalities based on summarizing the mineralization principle, characteristics, and three-generation leaching process of weathered crust elution-deposited rare earth ore. +en, the principle of external loss in the process of mining and separation of weathered crust elution-deposited rare earth ore is analyzed and an external loss evaluation system is constructed. In this system, the market value method, shadow engineering method, and labor cost method are mainly used to measure and calculate the industrial “three-waste” pollution control expenses, ecological environment repair cost, and negative external derivative management cost of weathered crust elution-deposited rare earth ore development. -
List of Main Production Facilities of ALDI North's Suppliers for Apparel
List of Main Production Facilities of ALDI North‘s Suppliers for Apparel, Home Textiles and Shoes Version March 2020 Produktionsstättenliste | März 2018 | Seite 0/17 Name Address Number of Employees Commodity Group Bangladesh AKH Eco Apparels Ltd. 495 Balitha, Shahbelishwer, Dhamrai > 5000 Apparel Chantik Garments Ltd. Kumkumari, Gouripur, Ashulia, Savar 2001 - 3000 Apparel Crossline Factory Ltd. 25 Vadam, Uttarpara, Nishatnagar, Tongi 1001 - 2000 Apparel Plot No. 45, 48, 49, 51 & 52; Holding No. 3/C Vadam, Post office: Nishatnagar, Crossline Knit Fabrics Ltd. 1001 - 2000 Apparel Tongi Designtex Knitwear Ltd. Beraiderchala, Sreepur, Gazipur 1001 - 2000 Apparel Disari Apparels (Pvt) Ltd. B-193 BSCIC Industrial Estate, Tongi 0 - 500 Apparel EH Fabrics Ltd. 221-225 Sataish Road, Khortoil, Tongi 1001 - 2000 Apparel Elaine Apparels Ltd. Charabagh, Amtala, Ashulia, Savar-1340 1001 - 2000 Apparel Eurotex Knitwear Ltd. Nayamati, Kutubpur, Fatullah 1001 - 2000 Apparel Faiza Industries Ltd. 425 Baimail, Konabari, P.O.-Kashem Cotton Mill, Thana-Joydebpur 1001 - 2000 Apparel Florence Fabrics Ltd. Bymile, Konabari, Gazipur 1346, Dhaka 501 - 1000 Apparel Fortis Garments Ltd. 100/1 Block-B, East Chandra, Shaheed Mosharraf Hossain Road, Kaliakoir 1001 - 2000 Apparel Habitus Fashion Ltd. Gajaria Para, Bahwal Mirzapur, Gazipur Sadar 2001 - 3000 Apparel Ilmeeyat Apparels Ltd. Jamirdia, Hobirbari, Valuka > 5000 Apparel Impress Fashion Ltd. Dag No. 2224 Matuail, Konapara, Katherpool, Jatrabari 2001 - 3000 Apparel J.L. Sweaters Ltd. Zirabo, P.O.-Ashulia, Thana-Ashulia, Savar 1001 - 2000 Apparel KA Design Ltd. Vill: Boro Beraid, P.S: Badda, Dhaka 1212 1001 - 2000 Apparel KC Bottom And Shirt Wear Company K. C. Industrial Park, Ratuti, Katchkura, Uttarkhan, Uttara, Dhaka 501 - 1000 Apparel BSCIC Hosiery Industrial Estate, Road No. -
Bulliform Phytolith Research in Wild and Domesticated Rice Paddy Soil in South China
RESEARCH ARTICLE Bulliform Phytolith Research in Wild and Domesticated Rice Paddy Soil in South China Xiujia Huan1,2*, Houyuan Lu1,3*, Can Wang1,2, Xiangan Tang4, Xinxin Zuo1, Yong Ge1,2, Keyang He1,2 1 Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, China, 2 University of Chinese Academy of Sciences, Beijing, China, 3 Center for Excellence in Tibetan Plateau Earth Science, Chinese Academy of Sciences, Beijing, China, 4 Soil & Fertilizer and Environmental & Resources Research Institute, Jiangxi Academy of Agricultural Sciences, Nanchang, Jiangxi Province, China * [email protected] (XH); [email protected] (HL) Abstract Bulliform phytoliths play an important role in researching rice origins as they can be used to distinguish between wild and domesticated rice. Rice bulliform phytoliths are character- OPEN ACCESS ized by numerous small shallow fish-scale decorations on the lateral side. Previous stud- Citation: Huan X, Lu H, Wang C, Tang X, Zuo X, Ge ies have shown that domesticated rice has a larger number of these decorations than wild Y, et al. (2015) Bulliform Phytolith Research in Wild rice and that the number of decorations 9 is a useful feature for identifying domesticated and Domesticated Rice Paddy Soil in South China. PLoS ONE 10(10): e0141255. doi:10.1371/journal. rice. However, this standard was established based on limited samples of modern rice pone.0141255 plants. In this study, we analyzed soil samples from both wild and domesticated rice pad- Editor: Xiaoyan Yang, Chinese Academy of dies. Results showed that, in wild rice soil samples, the proportion of bulliform phytoliths Sciences, CHINA with 9 decorations was 17.46% ± 8.29%, while in domesticated rice soil samples, the cor- ± Received: August 8, 2015 responding proportion was 63.70% 9.22%. -
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 ...................................................................................................................................................... -
Report and Recommendation of the President
Technical Assistance Consultant’s Report Project Number: 51013-001 February 2020 People’s Republic of China: Improving Ecological Protection and Poverty Alleviation in the Mining Area in Ganzhou, Jiangxi (Financed by the Technical Assistance Special Fund-Others) Prepared by NAREE International Limited in association with NAREE Consulting Limited Hong Kong, China For the Jiangxi Committee of the Chinese People’s Political Consultative Conference This consultant’s report does not necessarily reflect the views of ADB or the Government concerned, and ADB and the Government cannot be held liable for its contents. NᴧREE TA-9480 PRC: Improving Ecological Protection and Poverty Alleviation Outcomes in the Mining Area in Ganzhou, Jiangxi Final Report November 2019 Submitted to: Asian Development Bank and Jiangxi People’s Political Consultative Conference Prepared by: NAREE International Limited in association with NAREE Consulting Limited Asian Development Bank TA No. 9480 PRC Improving Ecological Protection and Poverty Alleviation Outcomes in the Mining Area in Ganzhou, Jiangxi Final Report 26 November 2019 Final Report NᴧREE CURRENCY EQUIVALENTS (as of 13 September 2019) Currency Unit = yuan (CNY) $1.00 = CNY 7.0738 CNY1.00 = $0.1413 Fiscal Year January – December ABBREVIATIONS AND ACRONYMS ADB Asian Development Bank AML Abandoned Mine Lands Reclamation Fund (US) CAPEX Capital expenditure CBA Cost benefit analysis CEA Cost effectiveness analysis CERCLA Comprehensive Environmental Compensation and Liability Act (1980), US CIIT Commission of Industry -
Agricultural Bank of China Corporate Social Responsibility Report 2018
Agricultural Bank of China Corporate Social Responsibility Report 2018 March 2019 Preface Time measures the progress of pioneers, and witnesses the dream of strivers. Time elapses in sweat and gains, and renews in yearning and hope. For China, 2018 is the 40th anniversary of the reform and opening up. For Agricultural Bank of China, 2018 is a year for deepening its reform and development, and the first year for comprehensively implementing the guiding principles of the 19th CPC National Congress. Standing at a new starting point, we held high the great banner of socialism with Chinese characteristics, firmly implemented Xi Jinping Thought on Socialism with Chinese Characteristics for a New Era, and spared no efforts to embark on a new journey of reform and development for ABC in the new era. Efforts never fail and dreams have never been closer. In 2018, we adhered to the philosophies of “giving priority to CSR, benefiting the general public, shouldering responsibilities, and promoting the well-being of society”. We seized the trend, led the future, run forward and never stopped. With wisdom and perseverance, we composed a beautiful song of “Sannong” service. With sweat and struggle, we drew a gorgeous painting of promoting the high-quality development of the real economy. With performance and responsibility, we vigorously answered to the call of “The Three” tough battles with efforts and pioneering spirit. We keep young in the elapsing time. In 2018, we held fast to the objective of “being a responsible bank”, further improved the social responsibility image, and continued to polish the social responsibility culture, to forge social responsibility into the beacon, the flag, the culture, and the source of motivation for ABC, and the soul leading and propping ABC’s reform and development. -
Landslide Susceptibility Prediction Modeling Based on Remote Sensing and a Novel Deep Learning Algorithm of a Cascade-Parallel Recurrent Neural Network
sensors Article Landslide Susceptibility Prediction Modeling Based on Remote Sensing and a Novel Deep Learning Algorithm of a Cascade-Parallel Recurrent Neural Network Li Zhu 1, Lianghao Huang 1, Linyu Fan 1, Jinsong Huang 2, Faming Huang 3,*, Jiawu Chen 3, Zihe Zhang 1 and Yuhao Wang 1 1 Information Engineering School, Nanchang University, Nanchang 330031, China; [email protected] (L.Z.); [email protected] (L.H.); [email protected] (L.F.); [email protected] (Z.Z.); [email protected] (Y.W.) 2 ARC Centre of Excellence for Geotechnical Science and Engineering, University of Newcastle, Newcastle, NSW 2308, Australia; [email protected] 3 School of Civil Engineering and Architecture, Nanchang University, Nanchang 330031, China; [email protected] * Correspondence: [email protected]; Tel.: +86-1500-277-6908 Received: 27 January 2020; Accepted: 6 March 2020; Published: 12 March 2020 Abstract: Landslide susceptibility prediction (LSP) modeling is an important and challenging problem. Landslide features are generally uncorrelated or nonlinearly correlated, resulting in limited LSP performance when leveraging conventional machine learning models. In this study, a deep-learning-based model using the long short-term memory (LSTM) recurrent neural network and conditional random field (CRF) in cascade-parallel form was proposed for making LSPs based on remote sensing (RS) images and a geographic information system (GIS). The RS images are the main data sources of landslide-related environmental factors, and a GIS is used to analyze, store, and display spatial big data. The cascade-parallel LSTM-CRF consists of frequency ratio values of environmental factors in the input layers, cascade-parallel LSTM for feature extraction in the hidden layers, and cascade-parallel full connection for classification and CRF for landslide/non-landslide state modeling in the output layers. -
Improvement on Jiangxi Seismic Environment and Digital Seismological Network
AASCIT Journal of Environment 2015; 1(3): 71-75 Published online July 30, 2015 (http://www.aascit.org/journal/ajees) Improvement on Jiangxi Seismic Environment and Digital Seismological Network Cui-Xiang Zhong Department of Science and technology, Jiangxi Normal University, Nanchang, China Email address [email protected] Citation Cui-Xiang Zhong. Improvement on Jiangxi Seismic Environment and Digital Seismological Network. AASCIT Journal of Environment . Vol. 1, No. 3, 2015, pp. 71-75. Keywords Abstract Earthquake, The fundamental cause of tectonic earthquakes is underground water erosion or magma Root Cause, explosion instead of inter-continental plate collision. According to this new discovery, it’s Landform, easy to explain many past great earthquakes around the world, and also easy to predict Topographic Maps, some future possible earthquake foci by observing landforms. These research results are Seismic Environment, important to economically protecting against earthquakes and reducing disasters. Digital Seismological Network Especially, according to this new discovery, many seismic environments or digital seismograph networks in the world can be improved. Through on-the-spot investigation or observing topographic maps, one can find that many areas in Jiangxi Province of China lack underground water, and the possibility of devastating earthquakes occurring in these Received: June 30, 2015 areas is very low. Hence the observation on these areas can be lessened. But some areas Revised: July 13, 2015 such as Jiujiang, Poyang, and Huichang are seismic risk areas, their seismic environments Accepted: July 14, 2015 can be improved and the observation on these areas should be enhanced and optimized. In addition, since most earthquakes occurred in raining or flooding seasons, the observations in these seasons should be enhanced, while the observations in dry seasons could be lessened. -
Remote Sensing ISSN 2072-4292 Article Potential of NPP-VIIRS Nighttime Light Imagery for Modeling the Regional Economy of China
Remote Sens. 2013, 5, 3057-3081; doi:10.3390/rs5063057 OPEN ACCESS Remote Sensing ISSN 2072-4292 www.mdpi.com/journal/remotesensing Article Potential of NPP-VIIRS Nighttime Light Imagery for Modeling the Regional Economy of China Xi Li 1,*, Huimin Xu 2, Xiaoling Chen 1 and Chang Li 3 1 State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China; E-Mail: [email protected] 2 School of Economics, Zhongnan University of Economics and Law, Wuhan 430060, China; E-Mail: [email protected] 3 College of Urban and Environmental Science, Central China Normal University, Wuhan 430079, China; E-Mail: [email protected] * Author to whom correspondence should be addressed; E-Mail: [email protected]; Tel.: +86-27-6877-8141. Received: 18 April 2013; in revised form: 7 June 2013 / Accepted: 13 June 2013 / Published: 19 June 2013 Abstract: Historically, the Defense Meteorological Satellite Program’s Operational Linescan System (DMSP-OLS) was the unique satellite sensor used to collect the nighttime light, which is an efficient means to map the global economic activities. Since it was launched in October 2011, the Visible Infrared Imaging Radiometer Suite (VIIRS) sensor on the Suomi National Polar-orbiting Partnership (NPP) Satellite has become a new satellite used to monitor nighttime light. This study performed the first evaluation on the NPP-VIIRS nighttime light imagery in modeling economy, analyzing 31 provincial regions and 393 county regions in China. For each region, the total nighttime light (TNL) and gross regional product (GRP) around the year of 2010 were derived, and a linear regression model was applied on the data.