Using a Coupled Human-Natural System to Assess the Vulnerability of the Karst Landform Region in China
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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. -
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. -
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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. -
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. -
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. -
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. -
Clean Urban/Rural Heating in China: the Role of Renewable Energy
Clean Urban/Rural Heating in China: the Role of Renewable Energy Xudong Yang, Ph.D. Chang-Jiang Professor & Vice Dean School of Architecture Tsinghua University, China Email: [email protected] September 28, 2020 Outline Background Heating Technologies in urban Heating Technologies in rural Summary and future perspective Shares of building energy use in China 2018 Total Building Energy:900 million tce+ 90 million tce biomass 2018 Total Building Area:58.1 billion m2 (urban 34.8 bm2 + rural 23.3 bm2 ) Large-scale commercial building 0.4 billion m2, 3% Normal commercial building Rural building 4.9 billion m2, 18% 24.0 billion m2, 38% Needs clean & efficient Space heating in North China (urban) 6.4 billion m2, 25% Needs clean and efficient Heating of residential building Residential building in the Yangtze River region (heating not included) 4.0 billion m2, 1% 9.6 billion m2, 15% Different housing styles in urban/rural Typical house (Northern rural) Typical housing in urban areas Typical house (Southern rural) 4 Urban district heating network Heating terminal Secondary network Heat Station Power plant/heating boiler Primary Network Second source Pump The role of surplus heat from power plant The number Power plant excess of prefecture- heat (MW) level cities Power plant excess heat in northern China(MW) Daxinganling 0~500 24 500~2000 37 Heihe Hulunbier 2000~5000 55 Yichun Hegang Tacheng Aletai Qiqihaer Jiamusi Shuangyashan Boertala Suihua Karamay Qitaihe Jixi 5000~10000 31 Xingan Daqing Yili Haerbin Changji Baicheng Songyuan Mudanjiang -
Running Away Is the Best? Ecological Resettlement of Ethnic Minorities in Guizhou, China
Running Away is the Best? Ecological Resettlement of Ethnic Minorities in Guizhou, China Jiaping Wu* Central Queensland University This paper investigates ecological resettlement of ethnic minorities in China, us- ing Guizhou as a case study. Guizhou has the most multicultural population in China, where ethnic minorities account for 35.7% of the total population in 2010. Its regional development has been characterized by interactions of ethnic minorities with their vulnerable, karst environment. The natural environment has been increasingly degraded, and the livelihood of rural people has substantially deteriorated. A large-scale ecological resettlement has been planned and imple- mented in Guizhou with intentions of both poverty alleviation and environmen- tal conservation. This paper contextualizes the displacement, which involves a population of over two million ethnically diverse people, over half of which are ethnic minorities. The discussion includes environmental change and economic and cultural contexts in which the displacement occurs. Keywords: environmental degradation; ethnic minorities; environmental resettle- ment; China China’s remarkable economic growth has been accompanied with profound social and environmental changes. These changes include increase in regional disparity and large-scale rural to urban migration. The most common migratory pattern was one in which men left their families in the rural villages in central and western re- gions to work in factories and construction sites in cities in coastal areas. This migra- tion continues to grow phenomenally, and in the meantime, patterns of migration have become increasingly complex and diverse. Environmental migration has been prominent, even though the extent of the migration being driven by environmental change and the ‘voluntary’ nature of the movement/relocation are questionable (see Oliver-Smith, 2012; Xue et al., 2013). -
Announcement of Annual Results for the Year Ended 31 December 2020
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. ANNOUNCEMENT OF ANNUAL RESULTS FOR THE YEAR ENDED 31 DECEMBER 2020 The board of directors (the “Board”) of Bank of Guizhou Co., Ltd. (the “Bank”) is pleased to announce the audited annual results (the “Annual Results”) of the Bank for the year ended 31 December 2020. This results announcement, containing the full text of the 2020 annual report of the Bank, complies with the relevant content requirements of the Rules Governing the Listing of Securities on The Stock Exchange of Hong Kong Limited in relation to preliminary announcements of annual results. The Board and the audit committee of the Board have reviewed and confirmed the Annual Results. This results announcement is published on the websites of The Stock Exchange of Hong Kong Limited (www.hkexnews.hk) and the Bank (www.bgzchina.com). The annual report for the year ended 31 December 2020 will be dispatched to the shareholders of the Bank and will be available on the above websites in due course. By order of the Board Bank of Guizhou Co., Ltd. XU An Executive Director Guiyang, the PRC, 30 March 2021 As of the date of this announcement, the Board of the Bank comprises Mr. XU An as executive Director; Ms. -
Guizhou Tongren Rural Transport Project
PROJECT INFORMATION DOCUMENT (PID) APPRAISAL STAGE Report No.: PIDA31584 Public Disclosure Authorized Project Name Guizhou Tongren Rural Transport Project (P148071) Region EAST ASIA AND PACIFIC Country China Public Disclosure Copy Sector(s) Rural and Inter-Urban Roads and Highways (100%) Theme(s) Rural services and infrastructure (100%) Lending Instrument Investment Project Financing Project ID P148071 Borrower(s) People's Republic of China Implementing Agency Tongren Project Leading Group Public Disclosure Authorized Environmental Category B-Partial Assessment Date PID Prepared/Updated 31-Jul-2015 Date PID Approved/Disclosed 22-Jun-2015, 05-Aug-2015 Estimated Date of Appraisal 19-Jun-2015 Completion Estimated Date of Board 25-Sep-2015 Approval Appraisal Review Decision From the QER Decision Note: (from Decision Note) Proceeding with Appraisal. The QER encouraged the task team to conduct a Pre-Appraisal/Appraisal mission, pending project Public Disclosure Authorized readiness, particularly in terms of safeguards preparations. In summary, the key decisions taken include: (a) The review consented to the Pre-Appraisal/Appraisal mission, beginning March 16, after which time the Team would report project Public Disclosure Copy readiness status; (b)The Team will revise the PAD, including the main text, results indicators, detailed project description, implementation arrangements, risk framework, and economic and financial analyses, based on the review discussion; and (c) During the Appraisal mission, the Task Team will clarify issues related to technical assistance, fiscal sustainability, and results indicators. I. Project Context Country Context Public Disclosure Authorized For the past twenty years, the Chinese economy has grown at a remarkable average rate of more than nine percent per year. -
Cloud-Model-Based Method for Risk Assessment of Mountain Torrent Disasters
water Article Cloud-Model-Based Method for Risk Assessment of Mountain Torrent Disasters Shengmei Yang 1, Xianquan Han 1, Bo Cao 1,* ID , Bo Li 1 and Fei Yan 2 1 Research Center on Mountain Torrent and Geologic Disaster Prevention of MWR, Changjiang River Scientific Research Institute, 23 Huangpu Road, Wuhan 430010, China; [email protected] (S.Y.); [email protected] (X.H.); [email protected] (B.L.) 2 College of Hydropower and Information Engineering, HuaZhong University of Science and Technology, Wuhan 430074, China; [email protected] * Correspondence: [email protected]; Tel.: +86-27-8292-6497 Received: 21 May 2018; Accepted: 20 June 2018; Published: 23 June 2018 Abstract: Mountain torrent disasters are common natural hazards that occur in mountainous terrains. The risk assessment of mountain torrent disasters entails a multi-criteria decision-making process and involves a transformation between qualitative and quantitative uncertainties. By incorporating probability statistics and fuzzy set theories, cloud model derived from information science, can aid the required transformation between the qualitative concepts and quantitative data. A cloud model-based approach has thus been proposed for practical risk assessment of mountain torrent disasters. The hybrid weighting method comprising the analytic hierarchy process (AHP) and entropy was employed for determining the weights of the indicators in the multi-criteria decision-making process. The degree of certainty associated with a particular risk level can be calculated through repeated assessments by employing the normal cloud model. The proposed approach was validated by comparing with the actual situation. The obtained results demonstrate that the cloud-model-based method is capable of indicating the risk level of mountain torrent disasters, as well as signifying the relative probability of risk at the same level. -
Spatiotemporal Dynamic Analysis of A-Level Scenic Spots in Guizhou Province, China
International Journal of Geo-Information Article Spatiotemporal Dynamic Analysis of A-Level Scenic Spots in Guizhou Province, China Yuanhong Qiu 1,2, Jian Yin 1,2,3,*, Ting Zhang 1, Yiming Du 1 and Bin Zhang 1,2 1 College of Big Data Application and Economic, Guizhou University of Finance and Economics, Huaxi District, Guiyang 550025, China; [email protected] (Y.Q.); [email protected] (T.Z.); [email protected] (Y.D.); [email protected] (B.Z.) 2 Center for China Western Modernization, Guizhou University of Finance and Economics, Huaxi District, Guiyang 550025, China 3 School of Water Conservancy and Civil Engineering, Northeast Agricultural University, Xiangfang District, Harbin 150050, China * Correspondence: [email protected] Abstract: A-level scenic spots are a unique evaluation form of tourist attractions in China, which have an important impact on regional tourism development. Guizhou is a key tourist province in China. In recent years, the number of A-level scenic spots in Guizhou Province has been increasing, and the regional tourist economy has improved rapidly. The spatial distribution evolution characteristics and influencing factors of A-level scenic spots in Guizhou Province from 2005 to 2019 were measured using spatial data analysis methods, trend analysis methods, and geographical detector methods. The results elaborated that the number of A-level scenic spots in all counties of Guizhou Province increased, while in the south it developed slowly. From 2005 to 2019, the spatial distribution in A-level scenic spots were characterized by spatial agglomeration. The spatial distribution equilibrium degree Citation: Qiu, Y.; Yin, J.; Zhang, T.; of scenic spots in nine cities in Guizhou Province was gradually developed to reach the “relatively Du, Y.; Zhang, B.