DOCSLIB.ORG

The Analysis of Logistics Situation in Beijing-Tianjin-Hebei

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
The Analysis of Logistics Situation in Beijing-Tianjin-Hebei International Journal of Trend in Research and Development, Volume 4(2), ISSN: 2394-9333 www.ijtrd.com The Analysis of Logistics Situation in Beijing-Tianjin-Hebei 1Hengliang Tang, 2Jie Li and 3Ying Liu 1,2,3School of Information, Beijing Wuzi University, Beijing, China Abstract-- This paper does a descriptive study on spatial billion 260 million yuan, accounting for 10% of the whole distribution of logistics situation in Beijing-Tianjin-Hebei country. area.It shows that Tianjin has the largest freight tonnages, In this paper, authors will present the development status of following by Tangshan, Handan, and Shijiazhuang. Beijing logisitics in Beijing-Tianjin-Heibei areas. The description and Tianjin have the largest post volumes, following by method and hierarchical clustering method are used to analyze Shijiazhuang, Baoding, and Tangshan. Beijing has the largest the logistics status in 13 cities of this area. The three variables number of employees, following by Tianjin, Shijiazhuang, and of each city such as freight tonnages, post volumes, and Tangshan. For all the other cities in Hebei, they have low employees in transportation industries are chosen for analysis. values in all the three columns. Hierarchical Clustering is then used to group 13 cities of this area into 4 groups. Cluster 1 and II. HIERARCHICAL CLUSTERING 2 are the two well-developed clusters in logistics situations, Hierarchical clustering essentially consists of progressively cluster 3 is the median-developed cluster in logistics situations. organizing all of the candidate objects into clusters comprising However, cluster 4 is the low-developed cluster in logistics mutually similar objects as determined by some measure of situations. inter-object and inter-cluster similarity, proceeding in Keywords-- Logistics situation; Beijing-Tianjin-Hebei; succession from the formation of small clusters containing just Hierarchical Clustering two objects to large clusters containing many objects. It is characteristic of this procedure that the clusters formed in each I. INTRODUCTION step can be graphically displayed in tree diagrams referred to The concept of logistics was first established in the United as dendrograms. Hierarchical clustering is widely used as it States. It originated in 1930s, and it originally meant "physical visuality, but it is less efficient for large observations. In this distribution" or "goods distribution". In 1963, it was paper, the dataset only has 13 observations and 3 columns, and introduced into Japan. Japanese means "circulation of each observation represents a main city, while each column substances". After 1970s, the word "logistics" in Japan represents the freight tonnages, post volumes, and employees gradually replaced the "circulation of things".The basic in transportation industries. The dataset is suitable for function of logistics industry in national economy is to achieve hierarchical clustering method. The data are transformed by z- commodity circulation. In the circulation of goods,Logistics is score standardized before clustering. By clustering, the 13 the concrete embodiment of the material transformation main cities are grouped into several cluster, and the analysis process to be solved in the process of commodity exchange. about these cluster is then performed. The result is useful to The size of logistics capability, including the capacity of show the difference and similarity of these 13 observations. transportation, packaging, loading and unloading, storage and III. SPATIAL DISTRIBUTION OF LOGISTICS distribution, directly determines the scale and speed of the STATUS IN BEIJING-TIANJIN-HEBEI AREAS circulation of goods. The situation of commodity circulation directly affects the market supply of commodities, and it restricts the satisfaction degree of people's consumption demand. The efficiency and cost of commodity circulation determine the market competitiveness of a company and the competitiveness of the country's commodity. Under the current market economy, the cost of logistics has become bigger and bigger. It has become the main factor determining the production cost and circulation cost. Beijing, Tianjin and Hebei is the "capital economic circle" of China, including Beijing, Tianjin city and Baoding, Tangshan, Langfang, Shijiazhuang, Qinhuangdao, Zhangjiakou, Chengde, Cangzhou, Handan, Xingtai, and Langfang. Among them, Beijing, Tianjin, Baoding and Langfang are the core functional areas in the central part of China. Beijing, Tianjin and Hebei are connected with each other in terms of human affinity, regional integration and culture, and also with a profound historical origin and a suitable communication radius, thus they can be fully integrated and coordinated. Beijing, Tianjin and Hebei, located in the heart of Bohai in the Northeast Asia, is the largest and most dynamic region in the north of China. It Figure 1: The spatial distribution of freight tonnages of all the has attracted more and more attention from China and the cities in Jing-Jin-Ji areas. whole world. In 2016, the total GDP of three regions of Beijing, Tianjin and Hebei amounted to 7 trillion and 461 Figure 1 shows the spatial distribution of freight tonnages of IJTRD | Mar – Apr 2017 Available [email protected] 839 International Journal of Trend in Research and Development, Volume 4(2), ISSN: 2394-9333 www.ijtrd.com all the cities in Jing-Jin-Ji areas. It can be found that Tianjin has the largest freight tonnages, following by Tangshan, Handan, and Shijiazhuang. All these cites are the transportation center for around areas, and except Shijiazhuang the remaining 3 cites all have ports for ocean shipping. Chengde and Hengshui have the lowest freight tonnages, and their values are about 1/10 of Tianjin’s. It is because these two cities are not industrial cities and they have no many requirements for freights. However, Beijing as the capital of China has median freight tonnages, and it is affected by the government’s police that removing the non-core functions of the capital. Figure 3: The spatial distribution of employees in transportation industries of all the cities in Jing-Jin-Ji areas. IV. THE CLUSTER ANALYSIS ON LOGISTICS STATUS IN BEIJING-TIANJIN-HEBEI AREAS After the Hierarchical Clustering, the tree-diagram are shown in Figure 4, and it demonstrate how the areas are grouped into small groups in detail. The three variables of each city such as freight tonnages, post volumes, and employees in transportation industries are chosen for cluster. From the figure 4, the 13 cities are grouped into 4 sub-groups. Beijing and Tianjin are in cluster 1 and 2 respectively; Tangshan, Handan, and Shijiazhuang are in the cluster 3, and all the remaining cities are in cluster 4. Beijing and Tianjin are Figure 2: The spatial distribution of post volumes of all the two metropolis, and their logistics economical structures are cities in Jing-Jin-Ji areas. different from the other cities in Hebei, thus they should not be grouped with Hebei cities. However, in freight tonnages and Figure 2 shows the spatial distribution of post volumes of all the number of employees in transportation industries, Beijing the cities in Jing-Jin-Ji areas. It can be found that Beijing and is quite from Tianjin, so it is reasonable that they are in Tianjin have the largest post volumes, following by separate clusters. For the other cities in Hebei, Tangshan, Shijiazhuang, Baoding, and Tangshan. Post volumes are Handan, and Shijiazhuang are the more developed cities, and mainly determined by citizens daily consuming, and all these their logistics situations are different from the other cities in cities are richer in this areas, especially for Beijing and Hebei. For example, their values in freight tonnages, post Tianjin. Beijing and Tianjin are two municipalities directly volumes, and employees in transportation industries are larger under the Central Government, and people of these two cities than other the Hebei cities. That is the reason why Hebei cities often have high demands for postal service. Zhangjiakou, are grouped into two separate clusters. Chengde and Xingtai have lowest postal volumes, as their economic are developed in a low scale, and people living there do not have enough savings for consuming. In all, rich cities often have high postal volumes. Figure 3 displays the spatial distribution of employees in transportation industries of all the cities in Jing-Jin-Ji areas. It can be found that Beijing has the largest number of employees, following by Tianjin, Shijiazhuang, and Tangshan.The amount of employees is mainly determined by citizens daily consuming, and in Beijing the web shopping orders are much higher than other cities.Tianjin has a high postal volumes, but they are mainly on ocean shipping, thus not high amount of employees are required. For all the other cities in Hebei, their numbers of employees in transportation industries are not high. It is because their population level and consuming amount are low and not high number of employees is required. Figure 4: The tree-diagram of Hierarchical Clustering on logistics situations. IJTRD | Mar – Apr 2017 Available [email protected] 840 International Journal of Trend in Research and Development, Volume 4(2), ISSN: 2394-9333 www.ijtrd.com control technology research; University Cultivation Fund Project of 2016-Research on Congestion Model andalgorithm of picking system in distribution center. References [1] Chen, Zhijuan, and S. Zhang. "Study on Development Countermeasures for Comprehensive Transportation System in Tianjin under New Situation." Logistics Technology (2015). [2] Dong, Xi Chen, and G. X. Wang. "Coal logistics competency analysis for ports in the Tianjin and Hebei regions around the Bohai bay in China." International Conference on Management Science 2010:436-443. [3] Dustin Schder, Feng Ding, and Juliana Kucht Campos. "The Development Strategy of E-Commerce Logistics in Figure 5: The cluster profile table for all the 4 clusters. Beijing." Open Journal of Social Sciences 03.11(2016):99-105. It can be seen from Figure 5 that cluster 1 have low value in [4] Hai-Sheng, K. E., Y. Zhang, and T. N. University.
Load more

Recommended publications
  • Supplement of Geosci
    Supplement of Geosci. Model Dev., 7, 2243–2259, 2014 http://www.geosci-model-dev.net/7/2243/2014/ doi:10.5194/gmd-7-2243-2014-supplement © Author(s) 2014. CC Attribution 3.0 License. Supplement of Air quality forecast of PM10 in Beijing with Community Multi-scale Air Quality Modeling (CMAQ) system: emission and improvement Q. Wu et al. Correspondence to: Q. Wu ([email protected]) and X. Zhao ([email protected]) Figure 1: The location of Baoding, Tangshan and Xianghe stations are shown as \green tringle". They are all in the Beijing's surrounding areas, where more point sources have been added in this paper. 1 The model performance on the Beijing's sur- rounding stations In the section, the PM10 hourly concentration in Baoding, Tangshan and Xi- anghe stations are collected to illustrate the model performance in Beijing's surrounding areas. The observation is from the Beijing-Tianjin-Hebei Atmo- spheric Environment Monitoring Network operated by the Institute of Atmo- spheric Physics, Chinese Academy of Sciences[1]. The location of the three stations are shown in Figure 1, Baoding and Tangshan stations are located at the urban of Baoding and Tangshan Municipality, and Xianghe station is located at one county of Langfang Municipality. As described in the left figure of Fig.2 in the manuscript, the fouth do- main(D4) in the forecast system just covers Beijing Municipality, that Baoding, Tangshan and Langfang station, is either outside or nearby the domain bound- ary. Therefore, the \New" expanded model domain is used to check if the \added" point and \updated" area sources emissions would improve the model performance on the surrounding areas.
    [Show full text]
  • The Simulated Annealing Algorithm and Its Application on Resource-Saving Society Construction
    620 JOURNAL OF SOFTWARE, VOL. 7, NO. 3, MARCH 2012 The Simulated Annealing Algorithm and Its Application on Resource-saving Society Construction Shaomei Yang Economics and Management Department, North China Electric Power University, Baoding City, China Email: [email protected] Qian Zhu Department of Economic and Trade, Hebei Finance University, Baoding City, China Email address:[email protected] Zhibin Liu Economics and Management Department, North China Electric Power University, Baoding City, China Email: [email protected] Abstract—Construct the resource-saving society, which not Dictionary", the concept of save is explained only help to implement the scientific development concept, comprehensively, which is the economy, cut expenditure, change the economic growth mode, but also contribute to savings, control, cost savings and live frugally; the implement the sustainable development strategy. Evaluation antonyms is waste and extravagance. The object of save index system construction is part and parcel of building a is human, financial, material and time; the main body of resource-saving society; a scientific and rational evaluation index system not only can evaluate the resource-saving save is the organizations and individuals who use human, society construction standard, but also can guide the financial, material and time resources. Resource-saving resource-saving society construction. Based on the analysis society is that scientific development ideas as a guide, the of the resource-saving society evaluation status quo, this save logos impenetrate in various fields, including paper established an evaluation index system including production, circulation, consumer and social life, through economic, social, environmental and technological, the adoption of legal, economic, administrative and other described the optimization ideas, algorithms and comprehensive measures, rely on scientific and implementation of Simulated Annealing(SA).
    [Show full text]
  • The Coordinative Development in the Capital Region of China?
    Zhai Baohui, Jia, Yuliang; Xu,Qingyun Coordinative development in the capital region China 40th ISoCaRP Congress 2004 A long Way to Go: the coordinative Development in the capital Region of China? Introduction From the analysis of ofgren (2000) we know that many efforts have been concentrated on large metropolitan regions in the Western sphere in a globalized world or giant cities of the developing world (Knox and Taylor, 1995; Sassen, 1991). The main focus has been on competitiveness, as responses to globalization, and urban governance, as a result of this pressure to become more competitive (Gwyndaf, 1999). The routine urban governance has been forced to change from day-to-day managerialism to entrepreneurialism and “boosterism” (Boyle and Hughes, 1994). Lever puts forward five questions to this concern. “Do cities compete? If so, for what do they compete? How do they compete? What are the consequences of competition? And, how do we measure and explain their competitive success?” (ofgren, 2000) To the first question, he identifies two opposing views. One is that cities indeed compete. They compete for mobile investment, population, public funds and large events as such sports and high level meetings. Cities are competing in the ability to create assets that make their local economy thrive. The other is that cities may try to develop favourable conditions for firms, but they are not as such involved in any competition with other cities. It is de facto capital that competes. It is the capital that needs corporate headquarters, financial institutions and markets as well as specialized services, and it is the capital invested in real estate, industrial undertakings, retailing and service.
    [Show full text]
  • Measurement and Analysis of Green Water Resources Efficiency in Jing-Jin-Ji
    E3S Web of Conferences 248, 02003 (2021) https://doi.org/10.1051/e3sconf/202124802003 CAES 2021 Measurement and analysis of green water resources efficiency in Jing-Jin-Ji XieHeng1 1School of management of Tianjin University of Technology, research center for circular economy and sustainable development of enterprises, Tianjin 300384 Abstract. Jing-Jin-Ji as one of the most serious water shortage areas in China, improving the green efficiency of water resources is the only way to solve the contradiction between supply and demand of water resources and realize the harmonious development of economy, society and ecology. Based on the Super-SBM model and geographical detector model, this paper measures the green water resources efficiency of Jing-Jin-Ji from 2008 to 2018, and analyzes the spatial and temporal differentiation. The result shows that:The efficiency of green water resources in Jing-Jin-Ji fluctuates in an unstable state, and does not reach the DEA effective state, and there is a big gap between the maximum and minimum efficiency of urban agglomeration. 1 Introduction As the basis of maintaining life and health, freshwater 2 Data and methods resources are indispensable natural resources for human survival and development. However, the research shows 2.1 Super efficiency SBM model that there are about 1.5 billion people in more than 80 countries in the world facing the shortage of fresh water, Selecting super SBM model based on unexpected output and the problem of water resources has become a major as the evaluation model of Beijing Tianjin Hebei Urban strategic issue related to national economic and social green water resources efficiency can not only effectively sustainable development and long-term stability.
    [Show full text]
  • Inter-Metropolitan Land-Price Characteristics and Patterns in the Beijing-Tianjin-Hebei Urban Agglomeration in China
    sustainability Article Inter-Metropolitan Land-Price Characteristics and Patterns in the Beijing-Tianjin-Hebei Urban Agglomeration in China Can Li 1,2 , Yu Meng 1, Yingkui Li 3 , Jingfeng Ge 1,2,* and Chaoran Zhao 1 1 College of Resource and Environmental Science, Hebei Normal University, Shijiazhuang 050024, China 2 Hebei Key Laboratory of Environmental Change and Ecological Construction, Shijiazhuang 050024, China 3 Department of Geography, The University of Tennessee, Knoxville, TN 37996, USA * Correspondence: [email protected]; Tel.: +86-0311-8078-7636 Received: 8 July 2019; Accepted: 25 August 2019; Published: 29 August 2019 Abstract: The continuous expansion of urban areas in China has increased cohesion and synergy among cities. As a result, the land price in an urban area is not only affected by the city’s own factors, but also by its interaction with nearby cities. Understanding the characteristics, types, and patterns of urban interaction is of critical importance in regulating the land market and promoting coordinated regional development. In this study, we integrated a gravity model with an improved Voronoi diagram model to investigate the gravitational characteristics, types of action, gravitational patterns, and problems of land market development in the Beijing-Tianjin-Hebei urban agglomeration region based on social, economic, transportation, and comprehensive land-price data from 2017. The results showed that the gravitational value of land prices for Beijing, Tianjin, Langfang, and Tangshan cities (11.24–63.35) is significantly higher than that for other cities (0–6.09). The gravitational structures are closely connected for cities around Beijing and Tianjin, but loosely connected for peripheral cities.
    [Show full text]
  • Waterlogging Risk Assessment of the Beijing-Tianjin- Hebei Urban Agglomeration in the Past 60 Years
    Waterlogging Risk Assessment of the Beijing- Tianjin-Hebei Urban Agglomeration in the Past 60 Years Yujie Wang Nanjing University of Information Science and Technology JIANQING ZHAI ( [email protected] ) National Climate Center, CMA https://orcid.org/0000-0001-7793-3966 Lianchun Song National Climate Center, CMA Research Article Keywords: Hazard, Exposure, Vulnerability, Waterlogging risk, Beijing-Tianjin-Hebei Posted Date: February 10th, 2021 DOI: https://doi.org/10.21203/rs.3.rs-162526/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License 1 Waterlogging Risk Assessment of the Beijing-Tianjin- 2 Hebei Urban Agglomeration in the Past 60 Years 3 4 Yujie Wang1,2, Jianqing Zhai 3, Lianchun Song3 5 1 Key Laboratory of Meteorological Disaster, Ministry of Education/International Joint Research 6 Laboratory on Climate and Environment Change/Collaborative Innovation Center on Forecast 7 and Evaluation of Meteorological Disasters, Nanjing University of Information Science and 8 Technology, Nanjing 210044, China 9 2 School of Atmospheric Sciences, Nanjing University of Information Science and Technology, 10 Nanjing 210044, China 11 3 National Climate Center, CMA, Beijing 100081, China 12 13 Corresponding author: Jianqing Zhai E-mail: [email protected] 1 14 ABSTRACT 15 In the context of global climate change and rapid urbanization, the risk of urban 16 waterlogging is one of the main climate risks faced by the Beijing-Tianjin-Hebei (BTH) 17 urban agglomeration. In this study, we obtain the urban waterlogging risk index of the 18 BTH urban agglomeration and assess waterlogging risks in the built-up area of the BTH 19 for two time periods (1961–1990 and 1991–2019).
    [Show full text]
  • The Development Strategy of County Characteristic Culture Industry in Hebei Province Based on SWOT Analysis
    International Conference on Education, Management, Computer and Society (EMCS 2016) The Development Strategy of County Characteristic Culture Industry in Hebei Province Based on SWOT Analysis Wang Lixin Wang Suchao Sifang institute of Shijiazhuang railway university Sifang institute of Shijiazhuang railway university Shijiazhuang，China Shijiazhuang，China [email protected] Gan Xiuna Sifang institute of Shijiazhuang railway university Shijiazhuang，China Abstract-The development of cultural industry is an the research of the county cultural industry in Hebei important symbol of the development of a province and a Province, the paper analyzes the strengths, city, but also an important embodiment of its cohesion and weaknesses, opportunities and challenges of province by creativity.In view of the present situation of Hebei Province, using SWOT analysis method. On this basis, the paper is this paper emphatically analyzes the strengths (S)of county based on the development of county characteristic culture in hebei province characteristic culture , weaknesses (W) and the opportunities (O) and threats (T), Deepening industry in Hebei province to identify and formulate people's understanding of the development of cultural strategic planning. resources. It also puts forward some measures to solve the problems of the development of county characteristic culture I. THE CURRENT SITUATION OF THE DEVELOPMENT OF industry in Hebei province. At the same time, it also provides COUNTY CHARACTERISTIC CULTURE INDUSTRY IN HEBEI a reference for other areas with
    [Show full text]
  • COUNTRY SECTION China Other Facility for the Collection Or Handling
    Validity date from COUNTRY China 05/09/2020 00195 SECTION Other facility for the collection or handling of animal by-products (i.e. Date of publication unprocessed/untreated materials) 05/09/2020 List in force Approval number Name City Regions Activities Remark Date of request 00631765 Qixian Zengwei Mealworm Insect Breeding Cooperatives Qixian Shanxi CAT3 06/11/2014 Professional 0400ZC0003 SHIJIAZHUANG SHAN YOU CASHMERE PROCESSING Shijiazhuang Hebei CAT3 08/06/2020 CO.LTD. 0400ZC0004 HEBEI LIYIMENG CASHMERE PRODUCTS CO.LTD. Xingtai Hebei CAT3 08/06/2020 0400ZC0005 HEBEI VENICE CASHMERE TEXTILE CO.,LTD. Xingtai Hebei CAT3 08/06/2020 0400ZC0008 HEBEI HONGYE CASHMERE CO.,LTD. Xingtai Hebei CAT3 08/06/2020 0400ZC0009 HEBEI AOSHAWEI VILLUS PRODUCTS CO.,LTD Xingtai Hebei CAT3 08/06/2020 0400ZC0010 HEBEI JIAXING CASHMERE CO.,LTD Xingtai Hebei CAT3 26/05/2021 0400ZC0011 QINGHE COUNTY ZHENDA CASHMERE PRODUCTS CO., Xingtai Hebei CAT3 26/05/2021 LTD 0400ZC0012 HEBEI HUIXING CASHMERE GROUP CO.,LTD Xingtai Hebei CAT3 26/05/2021 0400ZC0014 ANPING JULONG ANIMAL BY PRODUCT CO.,LTD. Hengshui Hebei CAT3 08/06/2020 0400ZC0015 Anping XinXin Mane Co.,Ltd Hengshui Hebei CAT3 08/06/2020 0400ZC0016 ANPING COUNTY RISING STAR HAIR BRUSH Hengshui Hebei CAT3 08/06/2020 CORPORATION LIMITED 0400ZC0018 HENGSHUI PEACE FITNESS EQUIPMENT FACTORY Hengshui Hebei CAT3 08/06/2020 1 / 32 List in force Approval number Name City Regions Activities Remark Date of request 0400ZC0019 HEBEI XIHANG ANIMAL FURTHER DEVELOPMENT Hengshui Hebei CAT3 08/06/2020 CO.,LTD. 0400ZC0020 Anping Dual-horse Animal ByProducts Factory Hengshui Hebei CAT3 08/06/2020 0400ZC0021 HEBEI YUTENG CASHMERE PRODUCTS CO.,LTD.
    [Show full text]
  • Download This Article in PDF Format
    E3S Web of Conferences 53, 03016 (2018) https://doi.org/10.1051/e3sconf/20185303016 ICAEER 2018 Studies on Regional Green Development Based on Social Network Analysis Yuan Huang1, Zongling Wang 1, Yi Zeng 1,* 1China National Institute of Standardization, No.4, Zhichun Road, Haidian District, Beijing 100191, China Abstract. Under the guidance of five development concepts, we should grasp regional overall economic, innovation, and traffic associated structure macroscopically, and analyze cities' status and role within the region when planning the regional green design. Through systematically considering regional overall structure, relationship between subjects and individual differences without prejudice to the ecological environment, it can play the greatest role of traffic led, city led, and market led, which can achieve regional green development. We build the traffic interaction network model, economic correlation network model, and innovation-driven network model to analyze network structures, identify key nodes and provide methodological guidance for regional green development plan. We bring Beijing-Tianjin-Hebei Urban Agglomeration for the case study and draw the following conclusions. The traffic interaction network is closer than the economic correlation network and the innovation-driven network, and the economic correlation network is closer than the innovation-driven network. The three networks all have a high degree of centralization, which means there is a great difference among cities. Beijing, Tianjin, Shijiazhuang develop relatively well, however, Chengde, Hengshui and Zhangjiakou relatively fall behind. Dezhou has a foundation to promote transportation integration and lacks the economic momentum and innovation driven. Chengde should increase the degree of innovation and communication to build connection with other cities.
    [Show full text]
  • Supplemental Material
    Supporting Information for Meteorological parameters and gaseous pollutant concentrations as predictors of ground-level PM2.5 concentrations in the Beijing–Tianjin– Hebei Region, China Xinpeng Wang*, Wenbin Sun, Zhen Wang, Yahui Wang, Hongkang Ren College of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, D11 Xueyuan Road, Beijing 100083, People Republic of China Corresponding Authors *(X.W.) Telephone:+86-10-62339355;E-mail:[email protected] Contents 6 Pages 2 Figures 2 Tables 1 Text Table S1. Correlation statistics between PM2.5 and predictors under different PM2.5 concentrations Observed AOD CO NO2 SO2 O3 PM2.5(µg m-3) >0 0.6 0.697 0.748 0.565 -0.12 >35 0.434 0.626 0.671 0.469 -0.27 >75 0.312 0.572 0.623 0.405 -0.31 >100 0.261 0.553 0.611 0.374 -0.339 >200 0.107 0.452 0.489 0.205 -0.278 Table S2. Fixed effects of linear mixed model variables Variable Fixed effects Variable Fixed effects Intercept -240.15 PRS 0.21 NO2 0.78 WD 0.003 SO2 0.08 WS -0.73 O3 0.16 TMP 0.50 CO 11.04 RH 0.11 AOD 30.88 ALT 0.02 Note: PRS、WD、WS、TMP、RH、ALT are pressure, wind direction, wind speed, temperature, humidity, elevation, respectively. Fixed effects represent the fixed slope of each variable. Figure S1. Daily variations of slope and intercept of each variable of linear mixed model. Text S1: Figs. 3(a1) and (a2) show that on October 6, the air condition in JingJinJi was −3 good, and the PM2.5 concentration in most areas was less than 30 µg m and met the primary standards for PM2.5 concentrations set by the Ministry of Environment Protection of China.
    [Show full text]
  • Download Article
    Advances in Economics, Business and Management Research, volume 71 4th International Conference on Economics, Management, Law and Education (EMLE 2018) Evaluation on the Effect of Beijing-Tianjin-Hebei Coordinated Development Policy During the “12th Five-year Plan” Period* Dan Wu School of Economics and Management North China University of Technology Beijing, China 100144 Siqi Cao Chenhui Ji School of Economics and Management Imperial College London North China University of Technology London, UK SW7 2AZ Beijing, China 100144 Abstract—The coordinated development of Beijing-Tianjin- of historical turn, and has presented their own characteristics Hebei is of vital significance to the coordinated promotion of the of different historical stages [1]. From the beginning with strategic layout of the "Four-pronged Comprehensive Strategy" Academician Wu Liangyong's research on urban-rural spatial and the realization of the goals of "Two Centenary" and the development planning of the north of Beijing-Tianjin-Hebei Chinese dream of the great rejuvenation of Chinese nation. For (Greater Beijing area) in 2001, to Beijing-Tianjin-Hebei this purpose, from three aspects of economy, society and ecology, coordinated development was listed as one of the three major this paper systematically sorts out the formulation of Beijing- national development strategies in 2014, and to the Political Tianjin-Hebei coordinated development policy during the 12th Bureau of the Central Committee of the Communist Party of Five-year Plan period, clarifies the promotion thinking of China held a meeting to examine and pass the Outline of Beijing-Tianjin-Hebei coordinated development policy, and Beijing-Tianjin-Hebei Coordinated Development Planning on deeply analyses the promotion and implementation of Beijing- Tianjin-Hebei coordinated development policy.
    [Show full text]
  • Zhangjiakou Energy Transformation Strategy 2050
    Supported by: Supported by: CHINA NATIONAL RENEWABLE ENERGY CENTRE based on a decision of the German Bundestag based on a decision of the German Bundestag ZHANGJIAKOU ENERGY TRANSFORMATION STRATEGY 2050 ZHANGJIAKOU Energy Transformation Strategy 2050 ZHANGJIAKOU Pathway to a low-carbon future Energy Transformation Strategy 2050 PATHWAY TO A LOW-CARBON TO FUTURE PATHWAY www.irena.org 2019 © IRENA 2019 © IRENA 2019 Unless otherwise stated, material in this publication may be freely used, shared, copied, reproduced, printed and/or stored, provided that appropriate acknowledgement is given to IRENA as the source and copyright holder. Material in this publication that is attributed to third parties may be subject to separate terms of use and restrictions, and appropriate permissions from these third parties may need to be secured before any use of such material. ISBN 978-92-9260-157-7 Citation: Available for download: www.irena.org/publications For further information or to provide feedback: [email protected] DISCLAIMER About IRENA The International Renewable Energy Agency (IRENA) is an intergovernmental organisation that supports countries in their transition to a sustainable energy future, and serves as the principal platform for international co-operation, a centre of excellence, and a repository of policy, technology, resource and financial knowledge on renewable energy. IRENA promotes the widespread adoption and sustainable use of all forms of renewable energy, including bioenergy, geothermal, hydropower, ocean, solar and wind energy, in the pursuit of sustainable development, energy access, energy security and low-carbon economic growth and prosperity. www.irena.org About CNREC China National Renewable Energy Centre (CNREC) is the national institution for assisting China’s energy authorities in renewable energy policy research, and industrial management and co-ordination.
    [Show full text]