List of standard international trade classification (SITC), third revision codes

2019 ◽  
pp. 237-238
Author(s):  
Keyword(s):  
International Trade ◽  
Standard International Trade Classification ◽  
Trade Classification

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 Export Specialization of India with Top Five Agricultural Economies: An Application of RCA and RSCA

2019 ◽  
Vol 8 (12) ◽  
pp. 4705-4708 ◽  
Keyword(s):  
International Trade ◽  
Comparative Advantage ◽  
Export Performance ◽  
Standard International Trade Classification ◽  
Revealed Comparative Advantage ◽  
Agriculture Sector ◽  
Indian Agriculture ◽  
World Demand ◽  
Trade Classification ◽  
Export Specialization

The paper attempts to determine Revealed Comparative Advantage (RCA) and Revealed Symmetric Comparative Advantage (RSCA) of Indian agriculture sector with respect to top five agriculture exporting countries viz; USA, UK, UAE, Singapore and China. The study evaluates the structure of comparative advantage from 1995-2017. Data as per the Standard International Trade Classification (SITC-1) is used to compute RCA and RSCA index. The indices reveals the comparative advantage in case of majority of commodities like fish, fish preparations, fruits, vegetables, sugar, sugar preparations, miscellaneous food products, wood, lumber and cork. Increasing world demand for exports trailed by the competitiveness of Indian exports has played an important role in export performance.

Intra-Industry Specialization in Textiles and Apparel

2006 ◽  
Vol 6 (4) ◽  
pp. 1850098 ◽  
Author(s):  
Don P. Clark ◽  
Kathleen Rees
Keyword(s):  
International Trade ◽  
Structural Adjustment ◽  
Bilateral Trade ◽  
Standard International Trade Classification ◽  
Adjustment Problems ◽  
Industry Specialization ◽  
Textile And Apparel ◽  
Trade Classification ◽  
Textiles And Apparel

This paper examines changes in intra-industry specialization indicators over the 1992-2004 period to assess potential for structural adjustment problems that may arise in U.S. textile and apparel products with growth in trade. Separate analyses are conducted for U.S. bilateral trade with China, Mexico, and DR-CAFTA members. Seven of the sixteen three-digit Standard International Trade Classification (SITC) product groups are expected to experience significant structural adjustment problems. With the exception of one group, all fall within the apparel and clothing (SITC 84) category. Results suggest substantial increases in U.S. imports from China are influencing these findings.

scholarly journals Exportações baianas: especialização e desempenho no período 2003-2015

2018 ◽  
pp. 16
Author(s):  
Monique Neves Moreira ◽  
Marcelo Dos Santos Da Silva ◽  
Priscila De Queiroz Leal
Keyword(s):  
International Trade ◽  
Standard International Trade Classification ◽  
Trade Classification

As exportações favorecem o crescimento econômico, o desenvolvimento empresarial, a inovação, a criação de emprego e a competitividade. A Bahia é a maior economia do Nordeste, com grande representatividade no comércio externo da região, exportando e importando produtos de classes setoriais distintas, dos primários àqueles com tecnologia de ponta. Nessa perspectiva, o objetivo deste artigo é analisar a especialização e o desempenho das exportações baianas por meio de índices de competitividade. Realizou-se a classificação da pauta exportadora por meio do Standard International Trade Classification (SITC), metodologia adotada pela ONU com o intuito de resumir todos os produtos em nove categorias ou grupamentos setoriais. A especialização das exportações baianas baseia-se em produtos químicos e derivados, combustíveis e lubrificantes e artigos manufaturados com pouca agregação de valor e/ou pouca densidade tecnológica. Ademais, a pauta de exportação baiana não é concentrada.

scholarly journals Przewaga komparatywna krajów Andyjskiego Wspólnego Rynku (CAN) w międzynarodowym handlu towarami z Mercosur

2019 ◽  
pp. 151-167
Author(s):  
Kamil Majcher
Keyword(s):  
International Trade ◽  
Standard International Trade Classification ◽  
Trade Classification

Celem artykułu jest określenie przewag komparatywnych w handlu towarowym czterech krajów ugrupowania CAN nad pięcioma krajami ugrupowania Mercosur w latach 2007–2017. W tym celu zastosowano wskaźnik ujawnionych przewag komparatywnych Balassy oraz klasyfikację towarów SITC (standard international trade classification). Badanie poprzedzono omówieniem międzynarodowych obrotów towarowych CAN z Mercosur. Przeprowadzone badanie ujawniło przewagę komparatywną CAN w następujących segmentach klasyfikacji towarowej SITC: trzecim (surowce mineralne, smary i podobne materiały), ósmym (inne wyroby przemysłowe) oraz dziewiątym (inne wyroby niesklasyfikowane). Szczególnie wysoką wartość RCA w latach 2007–2017 odnotowano w przypadku segmentu trzeciego. Świadczy to o dużym znaczeniu towarów przemysłu wydobywczego dla gospodarek narodowych należących do CAN.

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