Supplemental Files (1): the Economic, Social, And

Total Page:16

File Type:pdf, Size:1020Kb

Supplemental Files (1): the Economic, Social, And Supplemental Files (1): The economic, social, and demographic data Household Household Household Household Household Gross Regional Gross Regional Gross Regional Gross Regional Gross Regional Registered Registered Registered Registered Registered Product Product Product Product Product Population at Population at Population at Population at Population at City (Current (Current (Current (Current (Current Year-end Year-end Year-end Year-end Year-end Prices) Prices) Prices) Prices) Prices) (10 000 (10 000 (10 000 (10 000 (10 000 (100 000 yuan) (100 000 yuan) (100 000 yuan) (100 000 yuan) (100 000 yuan) persons) persons) persons) persons) persons) 2014 2015 2016 2017 2018 2014 2015 2016 2017 2018 Beijing 1333 1345 1363 1359 1376 213308300 230145900 256691300 280149400 303199787 Tianjin 1017 1027 1044 1050 1082 157269300 165381900 178853900 185491900 188096400 Hebei 7593 7651 295077417 Shijiazhuang 1025 1029 1038 973 982 51702653 54405988 59277293 33962728 60826180 Tangshan 753 755 760 755 758 62253023 61030601 63548675 32053543 69549700 Qinhuangdao 295 296 298 298 300 12000219 12504439 13493526 10146857 16355631 Handan 1030 1050 1055 1051 1058 30800054 31454319 33370903 13518281 34545705 Xingtai 773 780 788 790 797 16469408 17647323 19757460 3706907 21507611 Baoding 1197 1202 1207 1199 1208 30352036 30003400 34771269 13573495 35897885 Zhangjiakou 469 469 470 465 465 13489726 13635443 14659911 7093733 15366202 Chengde 381 382 383 380 382 13425500 13587278 14385741 4045897 14815102 Cangzhou 768 774 780 778 783 31333822 33206328 35446800 8667928 36764121 Langfang 450 461 470 474 479 21759631 24738649 27063015 8648469 31082249 Hengshui 453 452 455 454 456 11491345 12200080 14201825 5534965 15586909 Shanxi 3564 3498 127577479 Taiyuan 370 367 370 369 377 25310917 27353442 29556045 31483179 38844778 Datong 339 316 318 318 318 10017256 10533703 10257962 8866388 12719598 Yangquan 133 132 133 132 132 6166154 5957009 6228625 4440648 7336944 Changzhi 339 337 339 338 339 13311415 11953423 12704767 3909537 16456336 Jincheng 219 219 220 221 221 10358203 10402416 10493400 2681085 13518530 Shuozhou 175 162 163 164 163 10034100 9011301 9180640 4583205 10656332 Jinzhong 331 330 332 332 334 10413000 10461155 10911041 2698240 14476039 Yuncheng 525 510 531 513 513 12017177 11740143 12223486 2461333 15096407 Xinzhou 313 307 308 308 308 6803394 6812356 7161357 1383021 9891298 Linfen 429 431 434 433 433 12132401 11611090 12051761 2829721 14400430 Lvliang 391 387 391 392 394 11013462 9558013 9953079 813938 14203195 InnerMongolia 2180 2154 181154243 Hohhot 238 239 241 243 246 28940500 30905200 31735900 21851700 29035000 Baotou 224 224 224 224 224 36363100 37219300 38676300 24190700 29517900 Wuhai 55 44 44 44 44 6010187 5598322 5722261 4100777 4959360 Chifeng 466 463 463 460 459 17783716 18612749 19332792 6113256 15498400 Tongliao 319 319 319 316 316 18868000 18772700 19493818 4201300 13016000 Erdos 156 157 159 161 162 40554873 42261300 44179341 7467000 37632100 Hulunbuir 266 259 259 260 256 15222009 15989500 16208500 3047356 12529000 Bayannur 179 175 175 174 174 8674600 8874300 9153800 2421916 8131300 Ulanqab 277 274 274 272 271 8737258 9137748 9388700 1534132 7645200 Liaoning 4244 4230 290277800 Shenyang 731 730 734 737 746 70987051 72723051 55464498 51481026 62923981 Dalian 594 594 596 595 595 76555761 77316363 68101998 53917639 76684823 Anshan 348 346 346 344 342 23858951 23369966 14619713 8640987 17510580 Fushun 217 216 215 211 209 12765826 12164773 8650721 8137748 10488211 Benxi 152 151 150 148 146 11712452 11646927 7667098 5590042 8230867 Dandong 240 238 238 235 234 10226035 9849006 7512352 2298381 8167389 Jinzhou 305 303 302 296 295 13639990 13273292 10328139 5623240 11924093 Yingkou 233 233 233 232 231 15460811 15137503 11562477 8078204 13467208 Fuxin 191 189 189 186 185 6061578 5255376 4078179 1849479 4459906 Liaoyang 180 179 179 177 175 10146163 10285818 6541758 5135963 8697260 Panjin 129 130 130 130 130 13039536 12565377 10071351 9736271 12165782 Tieling 302 300 300 294 292 8672909 7409003 5880423 1295727 6166189 Chaoyang 341 341 341 336 336 9935232 8547329 7165334 1936827 8314297 Huludao 281 280 280 277 276 7215505 7201673 6473518 3600729 8127841 Jilin 2457 2448 135888700 Changchun 755 754 753 749 751 53424262 55300345 59864200 51428765 71757117 Jilin 2457 2448 414 135888700 22102386 Siping 328 326 324 320 319 12103150 12332487 11938035 1613303 9443242 Liaoyuan 122 121 120 118 117 6903093 7266404 7652485 4251037 6216011 Tonghua 222 221 220 217 216 10084958 10012129 9475914 1890231 8293000 Baishan 126 125 122 120 118 6752889 6685521 6966243 3546055 6617099 Songyuan 279 278 278 275 275 15962932 16373003 16516898 3913200 13736009 Baicheng 198 197 193 191 190 6861811 6996822 7001392 1676260 6065061 Heilongjiang 3695 3641 159469549 Harbin 987 961 962 955 952 53400715 57512119 61016096 47127585 63004794 Qiqihar 553 549 544 534 530 12093360 12703250 13253110 6366549 13401571 Jixi 184 182 181 175 173 5160088 5146868 5183793 1654705 5351782 Hegang 107 106 104 101 100 2594613 2655736 2641031 1415313 2895770 Shuangyashan 149 147 145 94 141 4326831 4333342 4373971 1213525 5070075 Daqing 276 275 276 273 273 40775057 29834587 26100031 22907157 28011583 Yichun 122 121 118 116 114 15229911 2481966 2512167 1650320 2741523 Jiamusi 241 238 238 235 233 7659799 8101676 8450332 4561525 10120491 Qitaihe 88 83 80 79 78 2142590 2126515 2166414 1757953 2503258 Mudanjiang 264 262 259 255 252 12640168 13107000 13681181 3589212 13027111 Heihe 171 168 163 161 159 4213621 4478252 4708056 349527 5051299 Suihua 553 549 543 528 524 11902452 12722076 13163122 1765596 13595852 Shanghai 1439 1443 1450 1455 1462 235677000 251234500 281786500 306329900 326798700 Jiangsu 7685 7718 668142400 Nanjing 649 653 663 681 697 88207500 97207700 105030200 117151000 128204000 Wuxi 477 481 486 493 497 82053100 85182600 92100200 54652800 114386200 Xuzhou 1024 1029 1041 1039 1045 49639100 53198804 58085200 33978846 67552300 Changzhou 369 371 375 379 382 49018700 52731500 57738600 57722100 70502700 Suzhou 661 667 678 691 704 137608900 145040700 154750900 81945100 185974700 Nantong 768 767 767 764 763 56526900 61483955 67682000 28626300 84270000 Lianyungang 527 531 534 533 534 19658900 21606400 23764800 14478400 27717000 Huai'an 560 564 568 561 561 24553900 27450900 30480000 22359500 36012500 Yancheng 829 828 831 826 825 38356200 42125000 45760800 20373200 54870800 Yangzhou 461 461 462 460 459 36979100 40168400 44493800 32484000 54661700 Zhenjiang 272 272 272 271 271 32524400 35024800 38338400 18786919 40500000 Taizhou 509 508 508 505 503 33708900 36879000 41017800 19948100 51076300 Suqian 581 586 592 591 591 19306800 21261900 23511200 9464340 27507200 Zhejiang 4859 4873 404716652 Hangzhou 716 724 736 754 774 92061633 100502079 113137223 116214609 135091508 Ningbo 584 587 591 597 603 76102816 80036103 86864911 62826874 107454632 Wenzhou 814 811 818 825 829 43030460 46180766 51015586 21810810 60061616 Jiaxing 348 349 352 356 360 33526045 35178068 38621104 11254564 48719836 Huzhou 264 264 265 266 267 19559985 20842666 22843743 10857320 27190675 Shaoxing 443 443 445 446 447 42658839 44659653 47890304 29516779 54168952 Jinhua 475 478 481 486 489 32082030 34023399 36849362 7413927 41002319 Quzhou 256 256 257 258 258 11461322 12515883 6022312 14705816 Zhoushan 98 97 97 97 97 10152567 10928459 12411989 9165154 13166986 Taizhou 509 508 508 505 605 33708900 36879000 41017800 19948100 48746696 Lishui 266 266 268 269 270 10517517 11032922 12102414 3261953 13946650 Anhui 6935 6949 212493101 Hefei 713 718 730 743 758 51805600 56602700 62743777 48124819 78229061 Wuhu 385 385 388 388 389 23095488 24573234 26994385 19018514 32785317 Bengbu 371 376 380 381 384 11511949 12530550 13858228 8445969 17146560 Huainan 243 246 389 390 390 7893187 9010822 9638395 6293324 11333064 Maanshan 227 229 229 229 229 13331200 13653044 14937617 10425427 19181000 Huaibei 215 217 217 217 218 7596370 7603904 7990337 6229180 9851902 Tongling 74 74 171 171 171 7163100 9116000 9573000 8813428 12223596 Anqing 621 622 529 531 528 15443170 14174300 15311776 5138061 19175850 Huangshan 148 148 148 148 149 5071697 5309000 5768174 2869916 6779143 Chuzhou 450 449 454 454 454 12144000 13056964 14228257 4329164 18017496 Fuyang 1051 1043 1062 1070 1071 11889663 12674505 14018589 5431259 17595199 Suzhou 661 667 678 691 657 137608900 145040700 154750900 81945100 16302217 Lu'an 721 718 587 588 589 10958100 10164885 11081469 5320556 12880538 Bozhou 634 635 647 651 657 8836299 9426090 10461044 4212362 12771945 Chizhou 161 162 162 162 162 5171690 5447404 5890196 3508409 6849253 Xuancheng 280 280 280 280 279 9176300 9714569 10578243 3238217 13172047 Fujian 3696 3721 240356030 Fuzhou 675 678 687 693 703 51691647 56180844 61976395 43005530 78568123 Xiamen 203 211 221 231 243 32735772 34660288 37842662 43517181 47914131 Putian 341 344 350 355 360 15020721 16551618 18234281 16647596 22424134 Sanming 284 284 287 288 289 16212064 17130478 18608197 4532584 23537162 Quanzhou 716 722 730 742 755 57333576 61377139 66466294 17587544 84679768 Zhangzhou 497 502 508 514 521 25063612 27673767 31253456 8148209 39476347 Nanping 319 320 321 319 320 12325593 13395148 14577378 5263855 17925130 Longyan 307 309 314 316 319 16212107 17384535 18956670 10326594 23932951 Ningde 352 349 352 351 354 13760938 14873590 16231142 3906094 19427951 Jiangxi 4923 4914 157540401 Nanchang 518 520 523 525 532 36679635 40000140 43549927 36408753 52746716 Jingdezhen 168 167 169 169 170 7382137 7720557 8401484 3854290 8465982 Pingxiang 198 198 200 200 200 8649524 9123871 9982752 6083233 10090505
Recommended publications
  • Urban Transformation in Transitional Economies: Lessons from the Mongolian Plateau
    URBAN TRANSFORMATION IN TRANSITIONAL ECONOMIES: LESSONS FROM THE MONGOLIAN PLATEAU By Hogeun Park A DISSERTATION Submitted to Michigan State University in partial fulfillment of the requirements for the degree of Planning, Design, and Construction—Doctor of Philosophy 2018 ABSTRACT URBAN TRANSFORMATION IN TRANSITIONAL ECONOMIES: LESSONS FROM THE MONGOLIAN PLATEAU By Hogeun Park Over the past three decades, transitional economies have experienced dramatic urbanization in response to changes in the human and natural environments, resulting from economic transitions, industrial restructures, institutional reforms, and climate variability. However, our knowledge of the causes and processes of urbanization in transitional economies remains limited. Here, I used the Mongolian Plateau (MGP), including Inner Mongolia in China (IM) and Mongolia (MG), as a testbed for studying the processes and causes of urbanization. I also investigated urban challenges and the policy implications of those issues. The dissertation is set to three research objectives: (1) understanding the processes of urbanization in the MGP, (2) analyzing the driving forces of rural-to-urban migration, and (3) identifying urban challenges and proposing policy solutions. For the first objective, I analyzed the spatial characteristics of urbanization in six cities (Hohhot, Baotou, and Ulanqab in IM, and Ulaanbaatar, Erdenet, and Darkhan in MG) using remote sensing analyses, computed the urban growth rates, population density, and discontiguity (i.e., leap-frogging index) of each city from 1990 through 2015, and applied structural equation models. I found divergent spatial patterns of urbanization in IM and MG and the differential institutional supports and industrial structures contributing to these disparities. For the second objective, I used household surveys to analyze the forces driving rural-to- urban migration, complemented with remote sensing tools to estimate the actual environmental conditions of respondents’ former residences.
    [Show full text]
  • Multi-Scale Analysis of Green Space for Human Settlement Sustainability in Urban Areas of the Inner Mongolia Plateau, China
    sustainability Article Multi-Scale Analysis of Green Space for Human Settlement Sustainability in Urban Areas of the Inner Mongolia Plateau, China Wenfeng Chi 1,2, Jing Jia 1,2, Tao Pan 3,4,5,* , Liang Jin 1,2 and Xiulian Bai 1,2 1 College of resources and Environmental Economics, Inner Mongolia University of Finance and Economics, Inner Mongolia, Hohhot 010070, China; [email protected] (W.C.); [email protected] (J.J.); [email protected] (L.J.); [email protected] (X.B.) 2 Resource Utilization and Environmental Protection Coordinated Development Academician Expert Workstation in the North of China, Inner Mongolia University of Finance and Economics, Inner Mongolia, Hohhot 010070, China 3 College of Geography and Tourism, Qufu Normal University, Shandong, Rizhao 276826, China 4 Department of Geography, Ghent University, 9000 Ghent, Belgium 5 Land Research Center of Qufu Normal University, Shandong, Rizhao 276826, China * Correspondence: [email protected]; Tel.: +86-1834-604-6488 Received: 19 July 2020; Accepted: 18 August 2020; Published: 21 August 2020 Abstract: Green space in intra-urban regions plays a significant role in improving the human habitat environment and regulating the ecosystem service in the Inner Mongolian Plateau of China, the environmental barrier region of North China. However, a lack of multi-scale studies on intra-urban green space limits our knowledge of human settlement environments in this region. In this study, a synergistic methodology, including the main process of linear spectral decomposition, vegetation-soil-impervious surface area model, and artificial digital technology, was established to generate a multi-scale of green space (i.e., 15-m resolution intra-urban green components and 0.5-m resolution park region) and investigate multi-scale green space characteristics as well as its ecological service in 12 central cities of the Inner Mongolian Plateau.
    [Show full text]
  • Annual Report Annual Report 2020
    2020 Annual Report Annual Report 2020 For further details about information disclosure, please visit the website of Yanzhou Coal Mining Company Limited at Important Notice The Board, Supervisory Committee and the Directors, Supervisors and senior management of the Company warrant the authenticity, accuracy and completeness of the information contained in the annual report and there are no misrepresentations, misleading statements contained in or material omissions from the annual report for which they shall assume joint and several responsibilities. The 2020 Annual Report of Yanzhou Coal Mining Company Limited has been approved by the eleventh meeting of the eighth session of the Board. All ten Directors of quorum attended the meeting. SHINEWING (HK) CPA Limited issued the standard independent auditor report with clean opinion for the Company. Mr. Li Xiyong, Chairman of the Board, Mr. Zhao Qingchun, Chief Financial Officer, and Mr. Xu Jian, head of Finance Management Department, hereby warrant the authenticity, accuracy and completeness of the financial statements contained in this annual report. The Board of the Company proposed to distribute a cash dividend of RMB10.00 per ten shares (tax inclusive) for the year of 2020 based on the number of shares on the record date of the dividend and equity distribution. The forward-looking statements contained in this annual report regarding the Company’s future plans do not constitute any substantive commitment to investors and investors are reminded of the investment risks. There was no appropriation of funds of the Company by the Controlling Shareholder or its related parties for non-operational activities. There were no guarantees granted to external parties by the Company without complying with the prescribed decision-making procedures.
    [Show full text]
  • Continuing Crackdown in Inner Mongolia
    CONTINUING CRACKDOWN IN INNER MONGOLIA Human Rights Watch/Asia (formerly Asia Watch) CONTINUING CRACKDOWN IN INNER MONGOLIA Human Rights Watch/Asia (formerly Asia Watch) Human Rights Watch New York $$$ Washington $$$ Los Angeles $$$ London Copyright 8 March 1992 by Human Rights Watch All rights reserved. Printed in the United States of America. ISBN 1-56432-059-6 Human Rights Watch/Asia (formerly Asia Watch) Human Rights Watch/Asia was established in 1985 to monitor and promote the observance of internationally recognized human rights in Asia. Sidney Jones is the executive director; Mike Jendrzejczyk is the Washington director; Robin Munro is the Hong Kong director; Therese Caouette, Patricia Gossman and Jeannine Guthrie are research associates; Cathy Yai-Wen Lee and Grace Oboma-Layat are associates; Mickey Spiegel is a research consultant. Jack Greenberg is the chair of the advisory committee and Orville Schell is vice chair. HUMAN RIGHTS WATCH Human Rights Watch conducts regular, systematic investigations of human rights abuses in some seventy countries around the world. It addresses the human rights practices of governments of all political stripes, of all geopolitical alignments, and of all ethnic and religious persuasions. In internal wars it documents violations by both governments and rebel groups. Human Rights Watch defends freedom of thought and expression, due process and equal protection of the law; it documents and denounces murders, disappearances, torture, arbitrary imprisonment, exile, censorship and other abuses of internationally recognized human rights. Human Rights Watch began in 1978 with the founding of its Helsinki division. Today, it includes five divisions covering Africa, the Americas, Asia, the Middle East, as well as the signatories of the Helsinki accords.
    [Show full text]
  • SARS CHINA Case Distribution by Prefecture-20 May 20031
    Source: Ministry of Health, People's Republic of China SARS Case Distribution by Prefecture(City) in China (Accessed 10:00 20 May 2003) No. Area Prefecture Cumulati Level of local Last Remarks (city) ve transmission reported Probable date Cases 1 Beijing 2444 C 20-May 2 Tianjin 175 C 17-May 3 Hebei 217 Shijiazhuang 24 B 20-May Baoding 31 B 18-May Qinhuangdao 5 UNCERTAIN 7-May Langfang 17 A 14-May Cangzhou 1 NO 26-Apr Tangshan 50 B 18-May Chengde 12 A 20-May Zhangjiakou 66 A 16-May Handan 6 NO 18-May Hengshui 1 NO 7-May Xingtai 4 NO 19-May 4 Shanxi 445 Changzhi 4 NO 8-May Datong 5 NO 8-May Jincheng 1 NO 4-May Jinzhong 49 B 15-May Linfen 18 B 4-May Lvliang 2 NO 13-May Shuozhou 4 NO 17-May Taiyuan 338 C 20-May Xinzhou 4 NO 8-May Yangquan 8 A 10-May Yuncheng 12 A 15-May 5 Inner 287 Mongolia Huhehot 148 C 20-May Baotou 14 B 10-May Bayanzhouer 102 C 15-May 1 Wulanchabu 9 B 6-May Tongliao 1 NO 26-May Xilinguole 10 B 17-May Chifeng 3 NO 6-May 6 Liaoning 3 Huludao 1 NO 26-Apr Liaoyang 1 NO 8-May Dalian 1 NO 12-May 7 Jilin 35 Changchun 34 B 17-May Jilin 1 NO 26-May 8 Heilongjiang 0 9 Shanghai 7 NO 10-May 10 Jiangsu 7 Yancheng 1 NO 2-May Xuzhou 1 NO Before 26 April Nantong 1 NO 30-Apr Huai’an 1 NO 2-May Nanjing 2 A 11-May 1st case of local transmission reported on May 10 Suqian 1 NO 8-May 11 Zhejiang 4 Hangzhou 4 NO 8-May 12 Anhui 10 Fuyang 6 NO 2-May Hefei 1 NO 30-Apr Bengbu 2 NO 10-May Anqing 1 NO 5-May 13 Fujian 3 Sanming 1 NO Before 26 April Xiamen 2 NO Before 26 April 14 Jiangxi 1 Ji’an 1 NO 4-May 15 Shandong 1 2 Jinan 1 NO 22-Apr 16 Henan
    [Show full text]
  • The Effect of Meteorological Variables on the Transmission of Hand, Foot
    RESEARCH ARTICLE The Effect of Meteorological Variables on the Transmission of Hand, Foot and Mouth Disease in Four Major Cities of Shanxi Province, China: A Time Series Data Analysis (2009-2013) Junni Wei1*, Alana Hansen2, Qiyong Liu3,4, Yehuan Sun5, Phil Weinstein6, Peng Bi2* 1 Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China, 2 Discipline of Public Health, School of Population Health, The University of Adelaide, Adelaide, Australia, 3 State Key Laboratory for Infectious Diseases Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China, 4 Shandong University Climate Change and Health Center, Jinan, Shandong, China, 5 Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China, 6 Division of Health Sciences, School of Pharmacy and Medical Sciences, The University of South Australia, Adelaide, Australia OPEN ACCESS * [email protected] (JW); [email protected] (PB) Citation: Wei J, Hansen A, Liu Q, Sun Y, Weinstein P, Bi P (2015) The Effect of Meteorological Variables on the Transmission of Hand, Foot and Mouth Abstract Disease in Four Major Cities of Shanxi Province, China: A Time Series Data Analysis (2009-2013). Increased incidence of hand, foot and mouth disease (HFMD) has been recognized as a PLoS Negl Trop Dis 9(3): e0003572. doi:10.1371/ journal.pntd.0003572 critical challenge to communicable disease control and public health response. This study aimed to quantify the association between climate variation and notified cases of HFMD in Editor: Rebekah Crockett Kading, Genesis Laboratories, UNITED STATES selected cities of Shanxi Province, and to provide evidence for disease control and preven- tion.
    [Show full text]
  • Evaluation of Sustainable Development of Resources-Based Cities in Shanxi Province Based on Unascertained Measure
    sustainability Article Evaluation of Sustainable Development of Resources-Based Cities in Shanxi Province Based on Unascertained Measure Yong-Zhi Chang and Suo-Cheng Dong * Institute of Geographic Sciences and Natural Resources Research, the Chinese Academy of Sciences, Beijing 100101, China; [email protected] * Correspondence: [email protected]; Tel.: +86-10-64889430; Fax: +86-10-6485-4230 Academic Editor: Marc A. Rosen Received: 31 March 2016; Accepted: 16 June 2016; Published: 22 June 2016 Abstract: An index system is established for evaluating the level of sustainable development of resources-based cities, and each index is calculated based on the unascertained measure model for 11 resources-based cities in Shanxi Province in 2013 from three aspects; namely, economic, social, and resources and environment. The result shows that Taiyuan City enjoys a high level of sustainable development and integrated development of economy, society, and resources and environment. Shuozhou, Changzhi, and Jincheng have basically realized sustainable development. However, Yangquan, Linfen, Lvliang, Datong, Jinzhong, Xinzhou and Yuncheng have a low level of sustainable development and urgently require a transition. Finally, for different cities, we propose different countermeasures to improve the level of sustainable development. Keywords: resources-based cities; sustainable development; unascertained measure; transition 1. Introduction In 1987, the World Commission on Environment and Development (WCED) proposed the concept of “sustainable development”. In 1996, the first official reference to “sustainable cities” was raised at the Second United Nations Human Settlements Conference, namely, as being comprised of economic growth, social equity, higher quality of life and better coordination between urban areas and the natural environment [1].
    [Show full text]
  • Chinacoalchem
    ChinaCoalChem Monthly Report Issue May. 2019 Copyright 2019 All Rights Reserved. ChinaCoalChem Issue May. 2019 Table of Contents Insight China ................................................................................................................... 4 To analyze the competitive advantages of various material routes for fuel ethanol from six dimensions .............................................................................................................. 4 Could fuel ethanol meet the demand of 10MT in 2020? 6MTA total capacity is closely promoted ....................................................................................................................... 6 Development of China's polybutene industry ............................................................... 7 Policies & Markets ......................................................................................................... 9 Comprehensive Analysis of the Latest Policy Trends in Fuel Ethanol and Ethanol Gasoline ........................................................................................................................ 9 Companies & Projects ................................................................................................... 9 Baofeng Energy Succeeded in SEC A-Stock Listing ................................................... 9 BG Ordos Started Field Construction of 4bnm3/a SNG Project ................................ 10 Datang Duolun Project Created New Monthly Methanol Output Record in Apr ........ 10 Danhua to Acquire &
    [Show full text]
  • China's Logistics Capabilities for Expeditionary Operations
    China’s Logistics Capabilities for Expeditionary Operations The modular transfer system between a Type 054A frigate and a COSCO container ship during China’s first military-civil UNREP. Source: “重大突破!民船为海军水面舰艇实施干货补给 [Breakthrough! Civil Ships Implement Dry Cargo Supply for Naval Surface Ships],” Guancha, November 15, 2019 Primary author: Chad Peltier Supporting analysts: Tate Nurkin and Sean O’Connor Disclaimer: This research report was prepared at the request of the U.S.-China Economic and Security Review Commission to support its deliberations. Posting of the report to the Commission's website is intended to promote greater public understanding of the issues addressed by the Commission in its ongoing assessment of U.S.-China economic relations and their implications for U.S. security, as mandated by Public Law 106-398 and Public Law 113-291. However, it does not necessarily imply an endorsement by the Commission or any individual Commissioner of the views or conclusions expressed in this commissioned research report. 1 Contents Abbreviations .......................................................................................................................................................... 3 Executive Summary ............................................................................................................................................... 4 Methodology, Scope, and Study Limitations ........................................................................................................ 6 1. China’s Expeditionary Operations
    [Show full text]
  • RPD: People's Republic of China: Shanxi Small Cities and Towns
    Resettlement Planning Document Updated Resettlement Plan Document Stage: Final Project Number: 42383 January 2011 People’s Republic of China: Shanxi Small Cities and Towns Development Demonstration Sector Project– Youyu County Subproject Prepared by Youyu County Project Management Office (PMO) The updated resettlement 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. Resettlement Plan Shanxi Small Cities & Towns Development Demonstration Project Resettlement Plan For Youyu County Subproject Youyu County Development and Reform Bureau 30 September, 2008 Shanxi Urban & Rural Design Institute 1 Youyu County ADB Loan Financed Project Management Office Endorsement Letter of Resettlement Plan Youyu County Government has applied for a loan from the ADB to finance the District Heating, Drainage and wastewater network, River improvement, Roads and Water supply Projects. Therefore, the projects must be implemented in compliance with the guidelines and policies of the Asian Development Bank for Social Safeguards. This Resettlement Plan is in line with the key requirements of the Asian Development Bank and will constitute the basis for land acquisition, house demolition and resettlement of the project. The Plan also complies with the laws of the People’s Republic of China, Shanxi Province and Youyu County regulations, as well as with some additional measures and the arrangements for implementation and monitoring for the purpose of achieving better resettlement results. Youyu County ADB Loan Project Office hereby approves the contents of this Resettlement Plan and guarantees the implementation of land acquisition, house demolition, resettlement, compensation and fund budget will comply with this plan.
    [Show full text]
  • People's Republic of China: Shanxi Road Development II Project
    Completion Report Project Number: 34097 Loan Number: 1967 August 2008 People’s Republic of China: Shanxi Road Development II Project CURRENCY EQUIVALENTS Currency Unit – yuan (CNY) At Appraisal At Project Completion (14 November 2002) (as of 6 March 2008) CNY1.00 = $0.1208 $0.14047 $1.00 = CNY8.277 CNY7.119 ABBREVIATIONS AADT – average annual daily traffic ADB – Asian Development Bank CSE – chief supervision engineer CSEO – chief supervision engineer office DCSE – deputy chief supervision engineer EIA – environmental impact assessment EIRR – economic internal rate of return FIRR – financial internal rate of return GDP – gross domestic product HDM-4 – highway design and maintenance standards model, version 4 ICB – international competitive bidding IDC – interest and other charges during construction IEE – initial environmental examination IRI – international roughness index MOC – Ministry of Communications NCB – national competitive bidding NTHS – national trunk highway system O&M – operation and maintenance PCR – project completion review PPMS – project performance management system PRC – People’s Republic of China PRIS – poverty reduction impact study PRMP – poverty reduction monitoring program REO – resident engineer office RP – resettlement plan SCD – Shanxi Communications Department SCF – standard conversion factor SEIA – summary environmental impact assessment SEPA – State Environment Protection Administration SFB – Shanxi Finance Bureau SHEC – Shanxi Hou-yu Expressway Construction Company Limited SKCC – Shaanxi Kexin Consultant Company SPG – Shanxi provincial government VOC – vehicle operating cost YWNR – Yuncheng Wetlands Nature Reserve WEIGHTS AND MEASURES mu – A traditional land area measurement, it is equivalent to 666.66 square meters, or 0.1647 acres, or 0.066 of a hectare. m/km – meters per kilometer mg/m3 – milligram per meter cube p.a.
    [Show full text]
  • Best-Performing Cities: China 2018
    Best-Performing Cities CHINA 2018 THE NATION’S MOST SUCCESSFUL ECONOMIES Michael C.Y. Lin and Perry Wong MILKEN INSTITUTE | BEST-PERFORMING CITIES CHINA 2018 | 1 Acknowledgments The authors are grateful to Laura Deal Lacey, executive director of the Milken Institute Asia Center, Belinda Chng, the center’s director for policy and programs, and Ann-Marie Eu, the Institute’s senior associate for communications, for their support in developing this edition of our Best- Performing Cities series focused on China. We thank the communications team for their support in publication as well as Kevin Klowden, the executive director of the Institute’s Center for Regional Economics, Minoli Ratnatunga, director of regional economic research at the Institute, and our colleagues Jessica Jackson and Joe Lee for their constructive comments on our research. About the Milken Institute We are a nonprofit, nonpartisan think tank determined to increase global prosperity by advancing collaborative solutions that widen access to capital, create jobs, and improve health. We do this through independent, data-driven research, action-oriented meetings, and meaningful policy initiatives. About the Asia Center The Milken Institute Asia Center promotes the growth of inclusive and sustainable financial markets in Asia by addressing the region’s defining forces, developing collaborative solutions, and identifying strategic opportunities for the deployment of public, private, and philanthropic capital. Our research analyzes the demographic trends, trade relationships, and capital flows that will define the region’s future. About the Center for Regional Economics The Center for Regional Economics promotes prosperity and sustainable growth by increasing understanding of the dynamics that drive job creation and promote industry expansion.
    [Show full text]