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Record W2989776417 · doi:10.32702/2306-6814.2019.21.63

TRADE LIBERALIZATION: THEORY, PREDICTING THE CONSEQUENCES OF IMPLEMENTATION AND PRACTICAL REALITIES

2019· article· en· W2989776417 on OpenAlex
Mark Hellyer

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInvestytsiyi praktyka ta dosvid · 2019
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Issues in Ukraine
Canadian institutionsnot available
Fundersnot available
KeywordsFree tradeEconomicsOpenness to experienceTrade barrierInternational economicsLiberalizationInternational tradeInternational free trade agreementEconomic integrationSubsidyCommercial policyContext (archaeology)Market economy

Abstract

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Background. The competitive positions of countries and their companies largely depend on the nature of participation in international economic interaction. It has been proven that countries with high levels of economic development are benefiting from foreign trade through liberalization. However, it remains debatable how much positive expectations identified in trade liberalization theory can be put into practice in economically peripheral countries. The fundamental scientific basis for studying the correlation of economic openness in the context of the impact on economic growth, including ambiguous and contradictory impact of trade liberalization, have been studied by various scholars. However, since antagonists of trade liberalization theory often do not fully understand all the positive effects of its application, research in this area is relevant. The goal of this study is to analyze the development and foundations of trade liberalization theory, as well as to compare projections of the effects of trade liberalization between Ukraine and the EU under the terms of the Deep and Comprehensive Free Trade Area (DCFTA) and the practical realities. The main results of the research. International trade theory provides explanations for the impact of international trade and the distribution of the gains from trade and particularly trade liberalisation through preferential trade agreements. Classical trade theory supports free trade and advocates against tariffs and restrictions. The assumptions behind the classical trade theory are the following: Completely free trade; no subsidies, tariffs, or commercial restrictions; Frictionless inter-sectoral transfer of labour. However these assumptions do not hold in the real world and gives rise to the debate on the conditions under which free trade provides Gains from Trade. In the Heckscher-Ohlin model of trade, each nation's comparative advantage is traced to its particular endowments of different factors of production: that is, basic inputs such as land, labour, and capital. Since the costs of these inputs in each country will depend on their availability, differences in factor endowments across countries will create differences in comparative advantage. Each country will tend to export items whose production requires intensive use of the factors with which it is abundantly endowed relative to other nations; conversely, each country will import goods whose production requires intensive use of factors that are relatively scarce. Therefore, countries well endowed with land, like Australia and Canada, and indeed Ukraine, are thus expected to export agricultural products (e.g., wheat and wool), while importing products that require the intensive use of labour (e.g., textiles and footwear). The article emphasized that Classical theory and Heckscher-Ohlin theory is further developed by the factor price equalization theory, by Paul A. Samuelson. Economic theory of equalization of factors and prices implies that free trade should lead to trends in the equalization of income, capital and labour in different countries. The example of graphical models illustrates what to expect in an economy that can move from protection to free trade. It has been shown that this will lead to a net increase in welfare. This made it possible to formulate a scientific understanding of why trade theory supports trade liberalization through preferential trade agreements, such as the DCFTA between the EU and Ukraine. The results of this agreement, as shown by the systematization of short— and long-term expectations, should be to increase trade, more effective allocation of resources, equalise wages and stimulate economic growth. According to forecasts, six sectors in Ukraine were expected to generate additional increases in Exports to the EU of over 20% net. However, we stressed that Ukrainian business entities will only gain access to the domestic market if European standards are established and technical regulations are complied with. At the same time, the cost of implementation of EU standards and retrofitting of production should be compensated by the flow of European investment which is going to stimulate restructuring and retrofitting of companies, facilitate new businesses and, as the result, increase the state' revenues. Our personal research has revealed that with 4 years of data since the effective application of DCFTA provisions on Ukraine's exports to the EU, it shows that Ukraine's exports have not significantly improved under the DCFTA. This runs contrary to both the EU and Ukrainian policy objective of the DCFTA as well as traditional economic theory. Conclusions. According to the traditional economic theory, trade liberalization brings not only traditional "static gains" from specialization, but also the adoption of new technologies and skills, leading to "dynamic gains" from trade — to higher productivity. But in the case of the practical implementation of the DCFTA on Ukraine's exports to the EU, the opposite consequences were found. It is noted that the results obtained during this study can be used for further research towards optimizing the processes of liberalization and upholding national economic interests in the context of the objective growth of world trade. Our data can also be used to find the real reasons that did not allow the country to benefit from the implementation of the DCFTA, as well as to develop measures to eliminate or minimize the negative effects.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.188
Threshold uncertainty score0.926

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.052
GPT teacher head0.297
Teacher spread0.244 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it