scholarly journals An Exploratory Analysis of Networked and Spatial Characteristics of International Natural Resource Trades (2000–2016)

2020 ◽  
Vol 12 (18) ◽  
pp. 7765
Author(s):  
Yujing Wang ◽  
Fu Ren ◽  
Ruoxin Zhu ◽  
Qingyun Du
Keyword(s):  
Spatial Analysis ◽  
Complex Network ◽  
Natural Resource ◽  
Bilateral Trade ◽  
Structural Characteristics ◽  
Human Life ◽  
Supply And Demand ◽  
Trade Data ◽  
Spatial Characteristics ◽  
Node Importance

Natural resources, as the material basis of human life and production, play a crucial role in national economic and social development. It is essential to reveal the structural characteristics of global natural resource supply and demand, which has become one of the most critical factors affecting every country’s policy strategy and economic development. However, mining the characteristics of international natural resource trades is a huge challenge because of the availability and quality of trade data. In this study, the international natural resource trade system is modeled as networks based on the available bilateral trade data from 2000 to 2016. Complex network methods and spatial analysis are utilized to explore the networked and spatial characteristics of different international natural resource trade networks (INRTNs). First, we quantitatively present the overall evolution trend of INRTNs by calculating several indicators of network features at the macrolevel. Then, as the intermediate-level characteristics of INRTNs, the core–periphery structures are explored by applying hierarchical clustering and a visual matrix heatmap. Finally, at the microlevel, the imbalance in direction is detected through the combination of node importance in a complex network with bivariate choropleth maps of spatial analysis. The empirical evidence from INRTNs of different product types in this paper will help governments and business administrations to perceive the complex natural resource trade environment, which can instruct policymakers to formulate effective import–export policies and ensure national resource security and sustainable development.

scholarly journals Structure Characteristics and Influencing Factors of Cross-Border Electricity Trade: A Complex Network Perspective

2021 ◽  
Vol 13 (11) ◽  
pp. 5797
Author(s):  
Yue Pu ◽  
Yunting Li ◽  
Yingzi Wang
Keyword(s):  
Complex Network ◽  
Industrial Structure ◽  
Structural Characteristics ◽  
Supply And Demand ◽  
Trade Network ◽  
Trade Networks ◽  
Cross Border ◽  
Electricity Trade ◽  
Border Trade ◽  
The Common

Electricity is one of the most widely used forms of energy. However, environmental pollution from electricity generation and the mismatch between electricity supply and demand have long been bothering economies across the world. Under this background, cross-border electricity trade provides a new direction for sustainable development. Based on the complex network approach, this paper aims to explore the structural characteristics and evolution of cross-border electricity trade networks and to figure out the factors influencing the formation of the network by using the more advanced network analysis method—ERGM. The results show that: (1) The scale of the electricity trade network is expanding, but there are still many economies not involved. (2) The centrality of the network shifts from west to east. The level of internal electricity interconnection is high in Europe, and Asian countries’ coordination role in cross-border electricity trade networks is enhanced. (3) Cross-border electricity trade helps to reduce CO2 emissions, achieve renewable energy transformation, and reduce power supply and demand mismatch. Large gaps in GDP, electricity prices, industrial structure, geographical distance and institutional distance between economies are not conducive to form the cross-border trade network, while the common language is on the contrary.

scholarly journals The Geography of Intra-Industry Trade: empirics

2003 ◽  
Vol 3 (1) ◽  
Author(s):  
Anthony J. Venables ◽  
Patricia G. Rice ◽  
Martin Stewart
Keyword(s):  
Spatial Structure ◽  
Bilateral Trade ◽  
Supply And Demand ◽  
Oecd Countries ◽  
Empirical Literature ◽  
Demand Characteristics ◽  
Trade Data ◽  
Industry Trade ◽  
Industry Level ◽  
Inherent Feature

Abstract This paper uses bilateral trade data for OECD countries at the 3-digit industry level to investigate the geography of intra-industry trade (IIT). IIT diminishes with distance and much of the existing empirical literature suggests that this is an inherent characteristic of such trade, arguing that trade in sectors intensive in IIT is choked off rapidly by distance. We show that the dependence of IIT on geography arises not because of any inherent feature of the effects of distance on such trade, but because of the spatial structure of countries’ supply and demand characteristics; close countries do a lot of IIT because they have similar economic structures.

Russia–ASEAN: Trade and Global Value Chains

2015 ◽  
pp. 25-39
Author(s):  
K. Muradov
Keyword(s):  
South Korea ◽  
Value Chain ◽  
Bilateral Trade ◽  
Value Added ◽  
Global Value Chains ◽  
Trade Flows ◽  
Value Chains ◽  
Trade Data ◽  
Traded Goods ◽  
Trade In Value Added

Traditional trade statistics that originate in customs records is inadequate to measure the complex interdependencies in today’s globalized economy, or what is known as the global value chains. The article focuses on Russia–ASEAN trade. The author applies innovative methods of measuring trade in value added terms in order to capture the unobserved bilateral linkages behind the officially recorded trade flows. First, customs and balance of payments sources of bilateral trade data are briefly reviewed. For user, there are at least two inherent problems in those data: the inconsistencies in “mirror” trade flows and the attribution of the origin of a traded product wholly to the exporting country. This results in large discrepancies between Russian and ASEAN “mirror” trade data and, arguably, their low importance as each other’s trade partners. Next, the author explores new data from inter-country input-output tables that necessarily reconcile bilateral differences and offer greater detail about the national and sectoral origin or destination of traded goods and services. Relevant data are derived from the OECD-WTO TiVA database and are rearranged to obtain various estimates of Russia–ASEAN trade in value added in 2009. The main finding is that sizable amount of the value added of Russian origin is embodied in third countries’ exports to ASEAN members and ASEAN members’ exports to third countries. As a result, the cumulative flow of Russia’s value added to ASEAN members is estimated to be 62% larger than the direct gross exports, whereas for China and South Korea it is, respectively, 21% and 23% smaller. The indirect, unobserved value added flows can be largely explained by the use of Russian energy resources, chemicals and metals as imported inputs in third countries (China, South Korea) and ASEAN members’ own production. The contribution of these inputs is then accumulated along the value chain. Finally, the most important sectoral value chains are visualized for readers’ convenience. So far, it’s apparent that Russia is linked to ASEAN countries through intricate production networks and indirectly contributes to their trade with third countries.

scholarly journals Shades of Communitas: A Study of Soft Skills Programs

2018 ◽  
Vol 48 (4) ◽  
pp. 510-537
Author(s):  
Alison Fixsen ◽  
Damien Ridge
Keyword(s):  
Higher Education ◽  
Complex Network ◽  
Soft Skills ◽  
Human Life ◽  
Self Care ◽  
Social Worlds ◽  
Emotional Management ◽  
Management Problems ◽  
Entrepreneurial Activities ◽  
Points Of Resistance

In societies where neoliberal individualism prevails, communal experiences nevertheless remain crucial to human life. Drawing on participant data from a series of soft skills programs (SSPs) for Higher Education (HE) staff, we investigated SSP social worlds, their role in staff navigation in uncertain times and points of resistance within them. We found SSPs to be distinctly performative platforms, engaging actors in various self-care and entrepreneurial activities. A complex network of relationships was established via SSPs, as well as group effects akin to communitas, in “lighter” and “darker” forms. Incongruities of SSPs included gender imbalances and emotional management problems, while a mismatch between managerial attempts to create positive communitas and the reality of mounting workloads and job-cuts facing HE staff were noted in this study. SSPs may help counter organizational siloism, yet reflect the ambiguities within neoliberal culture and can deter staff from pursuing political modes of collective expression in the workplace.

scholarly journals THE FUTURE OF INDONESIA AND GLOBAL AGRICULTURE: RICE CONSUMPTION AND AGRICULTURAL MODERNIZATION

2020 ◽  
Vol 4 (1) ◽  
pp. 8
Author(s):  
Ade Marsinta Arsani
Keyword(s):  
Income Elasticity ◽  
Human Life ◽  
Supply And Demand ◽  
Agricultural Policies ◽  
Agriculture Sector ◽  
Fishing Sector ◽  
Rice Consumption ◽  
Important Position ◽  
Capital Development ◽  
Income Elasticity Of Demand

In the industry revolution 4.0 era, the agriculture sector still has an important position in human life because, without this sector, human capital development cannot be well developed. Globally, the share of agriculture, forestry, and fishing sector has declined significantly in the last two decades. However, the demand on agriculture product, especially rice, incline every year. Rice supply and demand projection with appropriate methods are very important because their result affect how agricultural policies are applied. The aim of this study is to examine the likely evolution of rice consumption in Indonesia and forecast the Indonesia rice consumption per capita based on global data. The results indicate the income elasticity of demand for rice in the Indonesia has become negative. The forecast of model show that Indonesia’s rice demand will keep incline, at least in the next five years. Due to those result, in order to maintain farmers’ wealth, modernization in agriculture is needed. Government has encouraged some programs such as Simluhtan, Katam, Si Mantap, Smart Farming, Smart Green House, Autonomous Tractor, dan Smart Irrigation to accelerate the agricultural transformation. Unfortunately, human resource quality becomes a problem. Indonesia need massive effort so that modernization in agriculture works well.

Analyses of the response of a complex weighted network to nodes removal strategies considering links weight: The case of the Beijing urban road system

2018 ◽  
Vol 32 (05) ◽  
pp. 1850067 ◽  
Author(s):  
Michele Bellingeri ◽  
Zhe-Ming Lu ◽  
Davide Cassi ◽  
Francesco Scotognella
Keyword(s):  
Complex Network ◽  
Real World ◽  
Road Traffic ◽  
Network Efficiency ◽  
Weighted Network ◽  
Node Importance ◽  
Connected Cluster ◽  
Binary Network ◽  
Binary Networks ◽  
Weighted Rank

Complex network response to node loss is a central question in different fields of science ranging from physics, sociology, biology to ecology. Previous studies considered binary networks where the weight of the links is not accounted for. However, in real-world networks the weights of connections can be widely different. Here, we analyzed the response of real-world road traffic complex network of Beijing, the most prosperous city in China. We produced nodes removal attack simulations using classic binary node features and we introduced weighted ranks for node importance. We measured the network functioning during nodes removal with three different parameters: the size of the largest connected cluster (LCC), the binary network efficiency (Bin EFF) and the weighted network efficiency (Weg EFF). We find that removing nodes according to weighted rank, i.e. considering the weight of the links as a number of taxi flows along the roads, produced in general the highest damage in the system. Our results show that: (i) in order to model Beijing road complex networks response to nodes (intersections) failure, it is necessary to consider the weight of the links; (ii) to discover the best attack strategy, it is important to use nodes rank accounting links weight.

scholarly journals STUDY OF POTENTIAL MELAYU VILLAGE AS A HERITAGE AREA IN SEMARANG

2018 ◽  
Vol 5 (1) ◽  
pp. 43
Author(s):  
Nuzulia Anggita ◽  
Nany Yuliastuti
Keyword(s):  
Spatial Analysis ◽  
Human Life ◽  
Early Period ◽  
Residential Density ◽  
Religious Activities ◽  
The Past ◽  
Urban Village ◽  
Cultural Conditions ◽  
History Of ◽  
Heritage Area

The urban village is a settlement that was established in the early period of the formation city and is the embryo of Semarang. Melayu Village is a heritage area where the existing heritage assets is inseparable from the history of the past. The enviromental of Melayu Village is quality conditions suffered environmental degradation because the threat of catastrophic tidal flood, the level of residential density is high, and there are several old buildings that were damaged. Assets contained in this region shows the evolution of human life and settlements from time to time that are still functioning properly. The purpose of this study to assess the potential in Melayu Village as a heritage area. This study uses descriptive quantitative and spatial analysis. The results of this study indicate that RW IV and RW VII are potentially as a heritage district with a score of 2.4 that characterized by a socio-cultural conditions that their religious activities in the form of cultural activities. This is also supported by the discovery of artifacts buildings in RW VII that Layur Tower Mosque and Shrine Kam Hok Bio who survived and functioned until today. Based on the potential of Melayu Village already should be protected as a heritage area.

Is Sino-Africa Bilateral Trade More than Resource Focused? The Rhetoric and the Reality

2019 ◽  
Vol 18 (4) ◽  
pp. 362-394
Author(s):  
Aye Alemu ◽  
Wenqing Zhang
Keyword(s):  
Natural Resources ◽  
Natural Resource ◽  
Bilateral Trade ◽  
Rapid Expansion ◽  
Contributing Factors ◽  
African Countries ◽  
Factors Influencing ◽  
Oil Exports ◽  
The Empirical Analysis ◽  
Significant Factors

Abstract This study uses an augmented dynamic gravity model to identify the main contributing factors influencing bilateral trade between China and 46 African countries in general and to test whether Sino-Africa bilateral trade is more than resource focused in particular. Natural resource was captured by “oil exports” and “ores & metal exports,” and the empirical analysis verifies only “oil” not “ores & metals” to significantly influence the growing Sino-Africa bilateral trade. Thus, the empirical result partially supports the widely held view that natural resources are critical to bilateral trade between China and African countries. However, it is not true that Chinese engagement in Africa is exclusively due to natural resources as always portrayed. Apart from the oil factor, some other significant factors for the growing bilateral trade are identified. The study indicates there is a huge opportunity and potential for rapid expansion of Sino-Africa bilateral trade that is mutually beneficial.

Node Importance Evaluation of Anti-Missile Networks

2013 ◽  
Vol 765-767 ◽  
pp. 1098-1102
Author(s):  
Yu Xia ◽  
Fei Peng
Keyword(s):  
Complex Networks ◽  
Complex Network ◽  
Evaluation Method ◽  
Simulation Experiments ◽  
Node Importance ◽  
Correlation Degree ◽  
Evaluation Algorithm

in order to improve the efficiency and validity of node importance evaluation, a new evaluation method for node importance in complex networks was proposed based on node approach degree and node correlation degree. The basic idea of the method is that the larger the approach degree of a node is, the closer to center of a complex network the node is and the more important it is; the bigger the correlation degree of a node is, the more important the node is. An evaluation algorithm corresponding to the method was designed for the warship fleet cooperation anti-missile network. Finally, the validity of the proposed method was verified by simulation experiments.

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