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Statistical Discrepancies in the Value of Non-resource Non-energy Exports from Russia to the EAEU

Elena A. Rozhanskaia – Associate Professor at the International and Customs Business Department of the Plekhanov Russian University of Economics, Candidate of Economic Sciences (Moscow, Russia).

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Anastasiya A. Prikladova – Associate Professor at the International and Customs Business Department of the Plekhanov Russian University of Economics, Candidate of Economic Sciences (Moscow, Russia).
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Exporting of non-resource non-energy (NNE) goods is important for the Russian Federation. Thus, the state should competently organize and implement support for such supplies. For this, an important factor is an availability of reliable information about commodity flows with foreign trade partners. Due to the strategic interests of Russia and the current political situation, mutual trade with partners in the EAEU has been conducted. The analysis of the Russian NNE is carried out for the period 2016–2020 based on “mirror” statistics of commodity flows with the EAEU countries. According to the results, there were defined the impact of the COVID-19 pandemic and the world commodity markets conjuncture on the NNE dynamics and the differences in the indicators of export-import operations.

A matrix of negative gaps, like M < X, was constructed with division of countries and product groups. Conclusions are about the importance of the partner economies integration, such as Russia’s ties with Belarus, and the regulation and control over the commodity flows accounting. It was suggested that control over foreign trade operations in the EAEU partner countries should be strengthened. It might be expedient to equalize business conditions, which would contribute to increasing the transparency of trade and generally have a favorable effect on the foreign economic activities of the participants.

This study was financed by a grant from the Plekhanov Russian University of Economics.

Key words: non-resource non-energy export, EAEU countries, statistical discrepancy, «mirror» statistics.

JEL-codes: F14, F15, M21, L50.