International Trade Data Network

2010 ◽  
Vol 47 (12) ◽  
pp. 47-6630-47-6630
Keyword(s):  
International Trade ◽  
Trade Data ◽  
Data Network

scholarly journals Trade competitiveness and export performance of Indian cardamom

1970 ◽  
pp. 34-42
Author(s):  
L Thomas, P Rajeev, P C Sanil
Keyword(s):  
International Trade ◽  
Export Performance ◽  
Secondary Data ◽  
Export Markets ◽  
Trade Data ◽  
The Past ◽  
Export Competitiveness ◽  
Trade Competitiveness ◽  
And Performance ◽  
Research Investments

India is one of the major producers and consumer of cardamom. The export performance of cardamom has witnessed several changes over the past few decades. This paper analyses the trends and performance of cardamom commodity from India. Using secondary data from the Spices Board and the Ministry of Commerce along with international trade data from the United Nations International Trade Statistics Database, the trend in the domestic production and export markets is clearly drawn out. The changes in Revealed Comparative Advantage in cardamom exports over the years is used to study the level and changes in the export competitiveness of the commodity. The study identifies a revival in export competiveness in the recent years along with an increase in the share of global cardamom exports. The highly concentrated production of cardamom, the preference for Indian cardamom in Middle East economies and the revival of export competitiveness can benefit the Indian cardamom producers. The study argues for strengthening research investments in cardamom for sustaining and enhancing the benefits from cardamom exports from the country.

scholarly journals Are Production Networks Passé in East Asia? Not Yet

2018 ◽  
Vol 17 (3) ◽  
pp. 86-107 ◽  
Author(s):  
Ayako Obashi ◽  
Fukunari Kimura
Keyword(s):  
International Trade ◽  
Raw Materials ◽  
East Asian ◽  
Production Networks ◽  
Trade Data ◽  
International Production ◽  
End Products ◽  
Great Trade Collapse ◽  
Primary Goods ◽  
Asian Context

Many people have a vague notion that the room for expanding international production networks is almost exhausted and that therefore international trade has slowed down since the recovery from the great trade collapse. This paper presents evidence against such a belief in the East Asian context by classifying finely disaggregated trade data based on the stages of the production process. The trade slowdown was attributed mainly to sluggishness of trade in primary goods and processed raw materials. In contrast, East Asian trade in manufactured parts and components and the assembled end-products within production networks continued to expand steadily.

scholarly journals Physical and Monetary Methods for Estimating the Hidden Trade of Materials

Resources ◽  
2019 ◽  
Vol 8 (2) ◽  
pp. 89
Author(s):  
Wei-Qiang Chen ◽  
Zi-Jie Ma ◽  
Stefan Pauliuk ◽  
Tao Wang
Keyword(s):  
International Trade ◽  
Physical Method ◽  
Time Cost ◽  
Standard International Trade Classification ◽  
Input Output ◽  
Trade Data ◽  
Aluminum Iron ◽  
Trade Classification ◽  
End Use ◽  
The U.S

The hidden trade of a material (e.g., aluminum) refers to the trade of that material embedded in final products (e.g., automobiles). There are two methods for estimating the hidden trade amount of materials: (1) the physical method relies on the physical trade data (measured by physical units) in which products are categorized according to the standard international trade classification codes or the harmonized system codes; and (2) the monetary method relies on the monetary trade data (measured by monetary units) in which products are categorized in accordance to the sectors of an input–output (IO) table. Information on material concentrations in products can be relatively quickly estimated by an IO-based model in the monetary method, but will have to be collected from various sources with intensive time cost in the physical method. Exemplified by the U.S. hidden trade of aluminum, iron, and copper in 2007, this study attempts to compare the two methods. We find that, despite the unavoidable but reasonable differences in the amounts of three metals trade, the results generated by the two methods are consistent with each other pretty well for final products at the level of end-use product groups (e.g., total transportation facilities). However, the comparison for specific products (e.g., automobiles) is challenging or does not generate consistent enough results. We suggest that similar estimations be done for more materials, more countries/territories, and different years, to gain experience, reduce estimation time and costs, and increase the knowledge base on metal flows in society.

scholarly journals Two Views of the British Industrial Revolution

1997 ◽  
Vol 57 (1) ◽  
pp. 63-82 ◽  
Author(s):  
Peter Temin
Keyword(s):  
International Trade ◽  
Technical Change ◽  
Industrial Revolution ◽  
Trade Data ◽  
British Economy ◽  
Broad View ◽  
British Trade ◽  
Ricardian Model

There are two views of the British Industrial Revolution in the literature today. The more traditional description sees the Industrial Revolution as a broad change in the British economy and society. This broad view of the Industrial Revolution has been challenged by Crafts and Harley who see the Industrial Revolution as the result of technical change in only a few industries. This article presents a test of these views using the Ricardian model of international trade with many goods. British trade data are used to implement the test and discriminate between the two views of the Industrial Revolution.

An Analysis of Risk Transfer and Trust Nexus in International Trade With Reference to Turkish Data

2020 ◽  
pp. 189-208 ◽  
Author(s):  
Aslı Taşbaşı ◽  
Pınar Yeşim Sarıca ◽  
Ahmet Hakan Yüksel
Keyword(s):  
International Trade ◽  
Emerging Economies ◽  
Future Research ◽  
Risk Allocation ◽  
Trade Data ◽  
Risk Transfer ◽  
Developed Economies ◽  
Blockchain Technology

International trade introduces a range of risks, which causes uncertainty over the timing of delivery and payment between exporters and importers. This chapter is a first attempt in dissecting Turkey's trade data in terms of risk allocation and trust between the parties involved. Breaking down Turkish export and import data for the years 2000 to 2018 according to methods of payment and use of currencies, the chapter first finds the risk is distributed unevenly between the exporter and the importer. Then findings are evaluated to open a new avenue of future research, constructed on the inquiry whether emerging economies like Turkey can establish trust in their trade with developed economies by using blockchain technology.

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