Technological classification of international trade data

2014 ◽  
pp. 204-204
Keyword(s):  
International Trade ◽  
Trade Data ◽  
Technological Classification

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 An Empirical Comparison of Portuguese and Multilingual BERT Models for Auto-Classification of NCM Codes in International Trade

2021 ◽  
Author(s):  
Roberta Rodrigues de Lima ◽  
Anita M. R. Fernandes ◽  
James Roberto Bombasar ◽  
Bruno Alves da Silva ◽  
Paul Crocker ◽  
...  
Keyword(s):  
International Trade ◽  
Specific Model ◽  
Experimental Results ◽  
Empirical Comparison ◽  
Correct Category ◽  
Fiscal Implications ◽  
Real Challenge

The classification of goods involved in international trade in Brazil is based on the Mercosur Common Nomenclature (NCM). The classification of these goods represents a real challenge due to the complexity involved in assigning the correct category codes especially considering the legal and fiscal implications of misclassification. This work focuses on the training of a classifier based on Bidirectional En-coder Representations from Transformers (BERT) for the tax classification of goods with NCM codes. In particular, this article presents results from using a specific Portuguese Language tuned BERT model as well results from using a Multilingual BERT. Experimental results justify the use of these models in the classification process and also that the language specific model has a slightly better performance.

Forms of Outsourcing in Modern International Trade

2011 ◽  
pp. 65-72
Author(s):  
I. Kotlyarov
Keyword(s):  
International Trade ◽  
Distinctive Features ◽  
Points Of View

The paper contains an analysis of the existing types of outsourcing. It is demonstrated that outsourcing can be analyzed from managerial and economical points of view. A classification of types of outsourcing based on their economical nature is proposed. Distinctive features of outsourcing are put in evidence. Models of interaction between companies in case of outsourcing are described.

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.

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