scholarly journals Factors affecting the volume of Indonesian CPO exports in international trade

2021 ◽  
Vol 681 (1) ◽  
pp. 012105
Author(s):  
A Amiruddin ◽  
S Suharno ◽  
S Jahroh ◽  
R R Novanda ◽  
Abd Gaffar Tahir ◽  
...  
Keyword(s):  
International Trade ◽  
Factors Affecting

scholarly journals Analysis of export and import structures using network methods (on the example of the agricultural market)

2020 ◽  
Vol 36 (3) ◽  
pp. 421-454
Author(s):  
Svetlana Lapinova ◽  
◽  
Alena Anikina ◽  
Alexander Osharin ◽  
◽  
...  
Keyword(s):  
International Trade ◽  
World Trade ◽  
Global Economy ◽  
Trade Flows ◽  
Factors Affecting ◽  
Trade Relations ◽  
Market Participants ◽  
Key Indicators ◽  
Sales Agents ◽  
Import Trade

Analysis of trade cooperation between countries and identification of the most significant market participants is of great importance, both theoretically and empirically. The global trading community forms a network of international relations defined by trade contracts in various industries. Export-import trade flows are one of the key indicators of the level of cooperation among countries and the state of the global economy. The high intensity of such contacts across groups of countries suggests the existence of clusters in this market segment,consisting of central players — exporters and importers, who often define rules for other participants.Understanding the existence and identification of such a center helps to develop an optimal international trade strategy. The purpose of this contribution is to identify factors affecting trade flows among different countries. Statistical analysis of the international trade relations does not always reveal all the essential aspects of cooperation. This paper combines the methods of graph theory and econometric analysis to study the parameters of trade flows among countries. The parameters used in the network analysis make it possible to obtain additional characteristics of market participants, which help to evaluate their significance in the world trade. The paper also identifies some key mathematical and economic characteristics of export-import flows connecting destination countries. We have analyzed the directions of changes in world trade and established correspondences between metric characteristics of graph vertices and parameters of world trade models. The Russian indicators in export/import categories and its largest sales agents are estimated. The identification of the key intermediaries and importers (centers and authorities) on each of the markets in question has been carried out. As an example for this identification the market of agricultural products among the world’s largest exporters and importers of the product were used.

Using Big Data Analytics to Forecast Trade Volumes in Global Supply Chain Management

2019 ◽  
pp. 70-99
Author(s):  
Murat Ozemre ◽  
Ozgur Kabadurmus
Keyword(s):  
Big Data ◽  
International Trade ◽  
Supply Chain ◽  
Data Analytics ◽  
Open Data ◽  
Big Data Analytics ◽  
Global Supply Chain ◽  
Factors Affecting ◽  
Export Volume

As the supply chains become more global, the operations (such as procurement, production, warehousing, sales, and forecasting) must be managed with consideration of the global factors. International trade is one of these factors affecting the global supply chain operations. Estimating the future trade volumes of certain products for specific markets can help companies to adjust their own global supply chain operations and strategies. However, in today's competitive and complex global supply chain environments, making accurate forecasts has become significantly difficult. In this chapter, the authors present a novel big data analytics methodology to accurately forecast international trade volumes between countries for specific products. The methodology uses various open data sources and employs random forest and artificial neural networks. To demonstrate the effectiveness of their proposed methodology, the authors present a case study of forecasting the export volume of refrigerators and freezers from Turkey to United Kingdom. The results showed that the proposed methodology provides effective forecasts.

scholarly journals Differences in Distance and Spatial Effects on Cross-Border E-Commerce and International Trade

2022 ◽  
Vol 30 (2) ◽  
pp. 1-24
Author(s):  
Qunyang Du ◽  
Danqing Deng ◽  
Jacob Wood
Keyword(s):  
International Trade ◽  
Spatial Autocorrelation ◽  
Spillover Effect ◽  
Distance Effect ◽  
Spatial Effects ◽  
Spatial Durbin Model ◽  
Policy Makers ◽  
Factors Affecting ◽  
Cross Border ◽  
One Belt One Road

Distance and space are important factors affecting international trade, but they have different effects on cross-border e-commerce (CBE) due to the creation of the Internet. This study utilizes spatial autocorrelation, the multi-dimension gravity model and the Spatial Durbin model to conduct an comparative analysis of international trade and CBE within one-belt one-road (BR) countries. Our study obtained several key findings. Firstly, the spatial autocorrelation effect which exists in international trade does not exist in CBE. Secondly, the geographical distance effect of CBE is not significant, which is different from that of international trade. Thirdly, CBE is affected by GDP, culture, policy and institution distances which is not entirely consistent with international trade. Finally, the Spatial Durbin model shows that the spillover effect of CBE and international trade are both significant in the inverse distance weight matrix. These findings provide not only important theoretical contributions but also a practical guide for Government policy makers of the BR and CBE.

scholarly journals An Empirical Analysis of the Relationship between International Trade and Quality of Life

2021 ◽  
Vol 4 (1) ◽  
pp. 1-32 ◽  
Author(s):  
Tasmeena Tahir ◽  
Muhammad Tariq Majeed
Keyword(s):  
Quality Of Life ◽  
International Trade ◽  
Human Life ◽  
Panel Data Analysis ◽  
Development Program ◽  
Trade Restrictions ◽  
Cross Sectional ◽  
Factors Affecting ◽  
The Relationship

Ever increasing trade restrictions have severe consequences for the quality of human life. Since improving the quality of life (QoL) is the core of economic development, therefore, it is important to investigate the factors affecting it. International trade is an important factor which affects QoL. Therefore, the current study is an attempt to analyze the nexus of international trade and QoL in the member countries of the United Nation Development Program (UNDP). Since QoL is a subjective measure, therefore, human development index (HDI) was used to empirically measure it. Data of 184 UNDP member countries for a period of 28 years (1990-2017) was analyzed in the current study. Both cross-sectional and panel data analysis techniques were used. The results indicated that international trade positively affects QoL. Hence, it was concluded that instead of remaining a closed economy, countries should promote international trade to improve the QoL of their people.

scholarly journals Factors Affecting International Trade in Tourism Services in Russia

2016 ◽  
Vol 9 (14) ◽  
Author(s):  
Olga Aleksandrovna Avdeyeva ◽  
Anna Victorovna Baranova ◽  
Dmitriy Olegovich Okunyev
Keyword(s):  
International Trade ◽  
Factors Affecting ◽  
Tourism Services

scholarly journals Why Democracies Cooperate More: Electoral Control and International Trade Agreements

2002 ◽  
Vol 56 (3) ◽  
pp. 477-513 ◽  
Author(s):  
Edward D. Mansfield ◽  
Helen V. Milner ◽  
B. Peter Rosendorff
Keyword(s):  
International Trade ◽  
World War Ii ◽  
Trade Agreements ◽  
Political Regime ◽  
Interstate Cooperation ◽  
Factors Affecting ◽  
International Trade Agreements ◽  
Regime Types ◽  
Political Conditions ◽  
Preferential Trading Arrangements

Over the past fifty years, barriers to international trade have decreased substantially. A key source of this decline in protectionism has been the proliferation of agreements among countries to liberalize commerce. In this article, we analyze the domestic political conditions under which states have concluded such agreements and, more generally, explore the factors affecting interstate economic cooperation. We argue that interstate cooperation on commercial issues depends heavily on the political regime types of participants: as states become more democratic, they are increasingly likely to conclude trade agreements. To test our claim, we examine whether the regime types of states have influenced their propensity to form and expand preferential trading arrangements (PTAs) during the period since World War II. We find that democratic countries are about twice as likely to form a PTA as autocratic countries, and that pairs of democracies are roughly four times as likely to do so as autocratic pairs. These results provide strong evidence that democracies are more commercially cooperative than less democratic countries.

scholarly journals Impact of Logistics Development Level on International Trade in China: A Provincial Analysis

2021 ◽  
Vol 13 (4) ◽  
pp. 2107
Author(s):  
Wei Ma ◽  
Xiaoshu Cao ◽  
Jiyuan Li
Keyword(s):  
International Trade ◽  
Bilateral Trade ◽  
Entropy Method ◽  
Evaluation Index System ◽  
Transport Infrastructure ◽  
Eastern Region ◽  
The Sustainable Development ◽  
Factors Affecting ◽  
Development Level ◽  
The Impact

Transport infrastructure and logistics are gradually becoming important factors affecting global trade. At the same time, with the international logistics corridor along the Belt and Road Initiative (BRI) going deep into construction, China is emerging as a unique case to study how logistics affects international trade. Therefore, based on the evaluation index system of logistics development level of China’s provinces by using the entropy method, this paper systematically analyzed the impact of logistics development level on bilateral trade from 31 China’s provinces to 65 countries along the BRI by using the improved gravity model with data for the period 2008–2018. Empirical results show: (1) Logistics development level had significantly promoted international trade development. (2) Compared with partner countries, China’s provincial logistics development level presented a greater impact on bilateral trade. (3) Influence of logistics development level was manifested in different periods, different international and regions, especially, logistics development level coefficient of the western region was negative, while that in eastern region was positive. In view of the above research results, we argue that strengthening domestic and international logistics construction is not only conductive to the sustainable development of China’s future trade, but also help to realize the coordinated development between China’s eastern, central and western regions.

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