This summary gives the theme of this final Master thesis, goal and objectives, methods, structure, findings.
The theme „Tariffic goods classification and anti-dumping duty“ is analyzed in this final Master thesis. The goal of this thesis is to analyze the theoretical and legal application foundations of anti-dumping measures, the rules and principles for classifying goods and display the potential cases of classifying goods incorrectly, seeking to bypass duty of anti-dumping.
To reach the goals the main objectives were stated:
1. To analyze the literature about theoretical and legal foundations of application of anti-dumping duty as means of security for trade;
2. To overview rules and principles of tariffical classification;
3. To provide the possible cases of bypassing duty of anti-dumping when classifying goods incorrectly;
4. To give suggestions how to reduce possible cases of bypassing duty of anti-dumping because of incorrect declaration of the code of goods.
These methods had the significance to implement the objectives of the particular thesis: the analysis of the sources of literature and documents, methods or linguistic and logical analysis.
The thesis consists of introduction, part of enunciation, which consists of 3 parts, inferences and suggestions, summary (in Lithuanian and in English) and references. In the first section of the thesis reasons and outcomes in economic sense are discussed, statistics of application of anti-dumping duty is briefly overviewed... [to full text]
Identifer | oai:union.ndltd.org:LABT_ETD/oai:elaba.lt:LT-eLABa-0001:E.02~2007~D_20070102_122033-47603 |
Date | 02 January 2007 |
Creators | Vaitkaitytė, Dovilė |
Contributors | Laurinavičius, Alfonsas, Gurevičienė, Jūratė Jadvyga, Radžiukynas, Juozas, Rimkus, Vladas, Reklaitis, Jonas, Vainoraitė, Eglė, Minalga, Rimgaudas Pranas, Budgenas, Rymantas, Mykolas Romeris University |
Publisher | Lithuanian Academic Libraries Network (LABT), Mykolas Romeris University |
Source Sets | Lithuanian ETD submission system |
Language | Lithuanian |
Detected Language | English |
Type | Master thesis |
Format | application/pdf |
Source | http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2007~D_20070102_122033-47603 |
Rights | Unrestricted |
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