Why Enforcing its UNCAC Commitments Would be Good for Russia: A Computable General Equilibrium Model
Journal Title: Eurasian Journal of Business and Economics - Year 2010, Vol 3, Issue 5
Abstract
Russia has ratified the UN Convention Against Corruption but has not successfully enforced it. This paper uses updated GTAP data to reconstruct a computable general equilibrium (CGE) model to quantify the macroeconomic effects of corruption in Russia. Corruption is found to cost the Russian economy billions of dollars a year. A conclusion of the paper is that implementing and enforcing the UNCAC would be of significant economic benefit to Russia and its people.
Authors and Affiliations
Michael BARRY
Negative Marketing in Political Campaigns and Its Effect on the Voting Decision of the Indian Millennial
In an unprecedented event, the current ruling party of India – the BJP - won the UP election in 2017 after 15 years of domination by the Congress. In 2016, when all the pollsters and pundits statistically analyzed the on...
Foreign Direct Investment as a Determining Factor in Turkey's Export Performance
Export growth in Turkey has been much faster than GDP growth over the past few decades. Although in the last several years Turkey has been experiencing a constant growth of both exports and foreign direct investments as...
Economic Determinants of Foreign Direct Investment in Armenia, Kyrgyz Republic and Turkmenistan: Theory and Evidence
The aim of the present study is to investigate the effects of different economic determinants on foreign direct investment (FDI) for three countries selected from Central Asia namely Armenia, Kyrgyz Republic and Tu...
Evaluation of Technical Efficiency in Indian Sugar Industry: An Application of Full Cumulative Data Envelopment Analysis
This study focuses on the inter-temporal and inter-state variations in technical and scale efficiency levels of Indian sugar industry. In the first stage, full cumulative data envelopment analysis (FCDEA) is used to deri...
Generating Buy/Sell Signals for an Equity Share Using Machine Learning
This study proposes a novel model for predicting 5 days’ ahead share price direction of GARAN (Garanti Bankasi A.Ş.), an equity share that is the top traded stock in BIST100, Istanbul Stock Exchange -Turkey. The first mo...