ВОЗМОЖНОСТИ ДЛЯ РОССИИ ПРИ УЧАСТИИ В ТОРГОВЫХ СПОРАХ В РАМКАХ ВТО
This article reviews the problem of choosing an optimal strategy of behavior in the system of WTO trade dispute for Russia. The analysis is based on evaluating prospects of new WTO members. To conduct this analysis we examined the Chinese experience that has demonstrated that they prefer to use the system of “changeable measures” and an alternative tool ─ the prolongation of the trade dispute. Furthermore, it can be said that China preferred to accumulate experience on the first stage of membership. The analysis using game theory has demonstrated that Russia should actively participate in the WTO, not to disturb the WTO rules. This policy leads to the healthy competition and effective development in long-term.
The econometric model has demonstrated that language and trade experience affect on the result of a trade dispute. Mainly the increase of the third parties leads to a Respondent losing the trade dispute.
Some people in the government and business didn't get ready for new reality wich is Russia's membership in the WTO. Ignorance of the rules and principals of the WTO remains a serious problem. Membership in the WTO dont mean getting advantages automaticly. It's necessary to work hard to be efficient.
Taking price changes from the Global Trade Analysis Project (GTAP) model of world trade, the authors use a small open economy computable general equilibrium comparative static model of the Russian economy to assess the impact of global free trade and a successful completion of the Doha Agenda on the Russian economy, and especially on the poor. They compare those results with the impact of Russian accession to the World Trade Organization (WTO) on income distribution and the poor. The model incorporates all 55,000 households from the Russian Household Budget Survey as real households. Crucially, given the importance of foreign direct investment (FDI) liberalization as part of Russian WTO accession, the authors also include FDI and Dixit-Stiglitz endogenous productivity effects from liberalization of import barriers against goods and FDI in services. The authors estimate that Russian WTO accession in the medium run will result in gains averaged over all Russian households equal to 7.3 percent of Russian consumption (with a standard deviation of 2.2 percent of consumption), with virtually all households gaining. They find that global free trade would result in a weighted average gain to households in Russia of 0.2 percent of consumption, with a standard deviation of 0.2 percent of consumption, while a successful completion of the Doha Development Agenda would result in a weighted average gain to households of -0.3 percent of consumption (with a standard deviation of 0.2 percent of consumption). Russia, as a net food importer, loses from subsidy elimination, and the gains to Russia from tariff cuts in other countries are too small to offset these losses. The results strongly support the view that Russia's own liberalization is more important than improvements in market access as a result of reforms in tariffs or subsidies in the rest of the world. Foremost among the own reforms is liberalization of barriers against FDI in business services.
Over the years of WTO work, the inconsistency of positions on individual issues between countries, as well as groups of countries, has often led to a deadlocks in the solution of certain trade and political problems. However, the joint search for mutually beneficial, compromise ways, the willingness of participants to Dialogue at the WTO platform demonstrated the viability of the multilataral trading system.
We address the external effects on public sector efficiency measures acquired using Data Envelopment Analysis. We use the health care system in Russian regions in 2011 to evaluate modern approaches to accounting for external effects. We propose a promising method of correcting DEA efficiency measures. Despite the multiple advantages DEA offers, the usage of this approach carries with it a number of methodological difficulties. Accounting for multiple factors of efficiency calls for more complex methods, among which the most promising are DMU clustering and calculating local production possibility frontiers. Using regression models for estimate correction requires further study due to possible systematic errors during estimation. A mixture of data correction and DMU clustering together with multi-stage DEA seems most promising at the moment. Analyzing several stages of transforming society’s resources into social welfare will allow for picking out the weak points in a state agency’s work.