Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in
In March 2014 Crimea unilaterally declared its independence from Ukraine and joined the Russian Federation. The separation of a part of a state's territory and economy is an interesting matter to examine. The economy of Ukraine has not only shrunk, but also changed its structure as Crimea had a quite distinct production pattern compared to the rest of Ukraine. Moreover, policy measures initialized before the separation may have different effects once applied only to a part of the former economy. This paper proposes a strategy to model the separation of part of an economy and its inclusion into another country and applies this strategy to the case of Crimea, Ukraine, and Russia. Having constructed a model for the new geographical and economic situation, we reinvestigate the possible effects of a Deep and Comprehensive Free Trade Agreement between Ukraine and the EU and compare the results for the situation with Crimea as part of Ukraine. We find that the annexation of Crimea leads to severe economic losses for Ukraine which are partly overproportional compared to Crimea's economic size. These negative effects can be compensated by implementing the DCFTA with the EU as we also show in our model results.
Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. The working papers published in the Series constitute work in progress circulated to stimulate discussion and critical comments. Views expressed represent exclusively the authors' own opinions and do not necessarily reflect those of the editors. Abstract Numerous econometric studies fail to detect a signicant and robust relationship between international aid and economic growth in the recipient countries. Dutch Disease effects might be responsible for this result. This paper examines the relation between aid and its effectiveness in a multi-sector multihousehold Computable General Equilibrium (CGE)-framework. Given that international transfers to African countries increasingly take the form of general financial support to the government, different spending strategies and their macroeconomic, sectoral and distributional effects are evaluated in a two-stage simulation making a distinction between immediate direct effects and possible long-run effects from increased productivity. While the model simulates the effects of additional aid in Zambia it can be used as a blueprint for other African countries. Terms of use: Documents inJEL Classification: O19, O55, F35
Given the scarce resources for public investment in developing countries, policy analysis should include a detailed perspective on the effects of infrastructure. This article develops a modelling framework for analysing the effects of improved road infrastructure on the economy of African countries. The theoretical framework is tested empirically and used for simulations in a Computable General Equilibrium (CGE) model, and the effects on production and welfare are analysed. The model also serves to investigate the effect of roads on the economic participation of rural households.
Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. One model ts all? Terms of use: Documents inDeterminants of transport costs across sectors and country groups * April 2011Hannah Schürenberg-Frosch ‡ AbstractWe show with the aid of pooled OLS estimations that investments in improved road infrastructure have the potential to signi cantly reduce transport costs. However, this result can only be clearly con rmed for industrial countries and is of primary importance for production and transportation of agricultural goods. For developing and transition countries we nd other determinants such as weather conditions to be more important in determining transport costs. A key variable, especially in these countries, is corruption. At very high levels corruption has the potential to prevent positive e ects from roads on transport costs or to even reverse them. This paper contributes to the literature on infrastructure investment by introducing and applying an internationally comparable measure of transport costs which can be calculated for a large and growing number of countries. We isolate important determinants of transport costs and provide insights into international and sectoral di erences concerning the impact of roads on transport costs. We conclude that investment in transport infrastructure can have substantial positive e ects especially on agricultural production and the e cient marketing of agricultural products but only if speci c conditions are in place. JEL Classi cation: O11, R42, O18
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