Market Structure and the Environmental Implications of Trade Liberalization: <scp>R</scp>ussia's Accession to the <scp>W</scp>orld <scp>T</scp>rade <scp>O</scp>rganization

Böhringer, Christoph; Rutherford, Thomas F.; Tarr, David G.; Turdyeva, Natalia

doi:10.1111/roie.12197

Cited by 11 publications

(5 citation statements)

References 39 publications

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“…CGE models have traditionally been the most effective and most widely used for assessing possible changes in foreign trade (Hertel, 2013), taxation (Dixon and Rimmer, 2016), public expenditure (Holmøy and Strøm, 2013), social security (Fehr, 2016), demography (Zodrow and Diamond, 2013), immigration (Fehr et al, 2013), labour markets , environment (Böhringer et al, 2015), as well as assessing the effects of natural (Shibusawa and Miyata, 2011) and man-made disasters (Rose and Liao, 2005). CGE models are the only practical way to quantify these effects at the level of industries, regions (Giesecke and Madden, 2013), and socio-economic groups (Horridge et al, 2013).…”

Section: Estimating Effects Of a Tot Shock With A General Equilibrium Modementioning

confidence: 99%

“…Examples of the use of CGE models for Russia include Makarov (1999) 2006), Rutherford and Tarr (2006), Kolik et al (2015), and Böhringer et al (2015).…”

Section: Models Of Computable General Equilibrium For the Russian Economymentioning

confidence: 99%

“…The structure of the core model is close to the CRTS model used in Böhringer et al (2015). The model is based on optimising behaviour of all economic agents, supply and demand balances in all markets for goods, services, and factors.…”

Section: The Comparative Static Modelmentioning

confidence: 99%

“…The upper-level elasticity of substitution between value added and intermediate consumption in the production function equals zero (σ Y = 0), indicating Leontief function. This type of nested production function was used in several models of the Russian economy (see Böhringer et al, 2015).…”

Section: Elasticitiesmentioning

confidence: 99%

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Effects of Terms of Trade Shocks on the Russian Economy

Turdyeva¹

2020

RJMF

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The principal interest of the paper is the quantification of terms of trade shocks response of the Russian economy on a detailed computable general equilibrium (CGE) model calibrated with Russian input-output data. The results suggest a decrease in the welfare of the representative consumer and real GDP with the deterioration of the terms of trade. In the Central scenario (a 10% decrease in the world price of crude oil, a 3% decrease in the world price of natural gas, and a 8% decrease in the world price of petroleum products) welfare of the representative consumer decreases by -1.17% of the benchmark consumption level, or -0.58% of the base year GDP in the comparative static model. The percentage change of the GDP in the Central scenario of the comparative static model is of the same magnitude as the decrease in representative consumer's welfare in terms of the benchmark GDP (-1.55%). Welfare changes associated with the Central scenario of the steady-state model, where capital stock adjusts to its long-term level, indicate a significant decrease in the welfare of the representative consumer up to -2.64% of the benchmark consumption level, or -1.23% of the base year GDP. Percentage change of the GDP in the Central scenario of the steady-state model exceeds representative consumer's decrease in welfare in terms of the benchmark GDP (-2.51%). The model was validated by historical simulation with observed levels of exogenous parameters, mimicking change in economic environment from 2011 to 2015. The results of the historical simulation stress the importance of fiscal parameters (i.e. export taxes) in analysis of production behaviour of Russian extraction industries.

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Section: Estimating Effects Of a Tot Shock With A General Equilibrium Modementioning

confidence: 99%

“…Examples of the use of CGE models for Russia include Makarov (1999) 2006), Rutherford and Tarr (2006), Kolik et al (2015), and Böhringer et al (2015).…”

Section: Models Of Computable General Equilibrium For the Russian Economymentioning

confidence: 99%

Section: The Comparative Static Modelmentioning

confidence: 99%

Section: Elasticitiesmentioning

confidence: 99%

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Effects of Terms of Trade Shocks on the Russian Economy

Turdyeva¹

2020

RJMF

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“…While some research exists on the economic impact of Russian trade integration (see, e.g., Malokostov and Turdyeva, 2014;Böhringer et al, 2015;Tarr, 2016), the recent literature is limited and this article fills a gap by providing a broad and comprehensive analysis of Russia's integration options. Our approach also differs from standard CGE (Computable General Equilibrium) models where the aim is often to provide numerical predictions on the impact of specific trade policy reforms; e.g., Russian WTO membership where several contributions exist (see, e.g., Rutherford and Tarr, 2006).…”

Section: Introductionmentioning

confidence: 99%

Russia in world trade: Between globalism and regionalism

Melchior¹

2019

RUJEC

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The article examines Russia’s participation in world trade and trade policy, using trade data for 1996–2017 and simulations of a numerical world trade model where Russia is divided into domestic regions. Since the mid-1990s, Russia’s foreign trade has grown much faster than the world average. This was accompanied by rapid deterioration in the trade balance for manufacturing, and fast redirection of imports, with more from China and relatively less from others, especially Eastern Europe. Only 1/8 of Russia’s foreign trade in 2017 was with Eastern Europe. This is why Russia can gain more from trade integration with the world beyond Eastern Europe, according to the model simulation analysis. For Russian domestic regions, multilateral liberalization among all countries has a similar effect across all of them, with a welfare gain due to lower import prices. For the commodity-exporting regions of Russia, preferential free trade agreements (FTAs) have a similar impact. For the more industrialized Russian regions, on the other hand, FTAs lead to manufacturing growth, rising wages and higher prices, and a larger welfare gain. According to the model simulations, trade integration promotes industrial diversification, with manufacturing growth also in some commodity regions. The results indicate that external liberalization is particularly important for the central parts of Russia; with Volga and West Siberia generally obtaining the strongest manufacturing boost from trade integration.

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Trade policy uncertainty and improvement in energy efficiency: Empirical evidence from prefecture-level cities in China

Zheng

Zhang

et al. 2021

Energy Economics

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Market Structure and the Environmental Implications of Trade Liberalization: Russia's Accession to the World Trade Organization

Cited by 11 publications

References 39 publications

Effects of Terms of Trade Shocks on the Russian Economy

Effects of Terms of Trade Shocks on the Russian Economy

Russia in world trade: Between globalism and regionalism

Trade policy uncertainty and improvement in energy efficiency: Empirical evidence from prefecture-level cities in China

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