National Repository of Grey Literature 141 records found  1 - 10nextend  jump to record: Search took 0.00 seconds. 
Analysis of the Chinese green bond market and factors influencing issuance interest rates
Huang, Yixiang ; Sivá, Soňa (advisor) ; Semerák, Vilém (referee)
Tato bakalářská práce se zabývá čínským trhem se zelenýmidluhopisy a faktory ovlivňujícími jejich emisní sazby, s důrazem na dopad pandemie Covid-19 na emisní sazby zelených dluhopisů v Číně. Práce využívá grafickou analýzu ke zkoumání čínského trhu se zelenýmidluhopisy a metodou vicenásobní lineární regrese analyzuje faktory ovlivňující emisní sazby. Nakonec zjišťuje, že pandemie Covid-19 skutečně má významný vliv a mění strukturu modelu ovlivňujících faktorů. Tato práce dospěla k hlavnímu závěru, že pandemie Covid-19 skutečně změnila strukturu faktorů ovlivňujících míru emise zelených dluhopisů Klíčová slova Čínský trh, Zelené dluhopisy, Covid-19 / Koronavirus, Emisní sazby, Vícenásobná lineární regrese, Ovlivňující faktory Název práce Analýza čínského trhu se zelený midluhopisy a faktorů ovlivňujících úrokové sazby při emisi
China's Outward Foreign Direct Investment in CEE Countries--Based on Gravity Analysis
Xiong, Xiaoyi ; Paulus, Michal (advisor) ; Li, Yating (referee) ; Semerák, Vilém (referee)
Over the past decade, economic and trade co-operation between China and Central and Eastern European countries has developed at a high rate. In the year of 2022, China has developed into an important trading partner with most CEE countries in terms of the ranking and share of total trade volume. However, problems such as trade surpluses and economic downturns in the post-pandemic era have made future cooperation between China and CEE countries facing a lot of new challenges. Based on the panel data of China and 16 selected countries in Central and Eastern European region from 2012 to 2021, this paper conducts empirical analyses and uses the extended gravity model to figure out the influencing factors of China's OFDI towards CEE countries. In addition, this paper also calculates the efficiency of China's OFDI based on Stochastic Frontier Gravity Model and finally give suggestions for the future.
The Transformation of the Russian Industrial Structure
Xun, Chuanli ; Svoboda, Karel (advisor) ; Amini, Chiara (referee) ; Semerák, Vilém (referee)
This analysis provides insight into the industrial structural transformation that Russia might experience between 2006 and 2020. The article determines that the trend of Russia's industrial structure change is from secondary to tertiary sectors by evaluating statistics on GDP and labour mobility. The study also reveals that significant occurrences including the 2008 financial crisis, the 2014 Ukrainian conflict, and Putin's reelection in 2020 all had a detrimental effect on Russia's industrial structure. By introducing a number of metrics, including GDP, labour force population, unemployment rate, and significant events, the article further concludes that these elements are the primary ones impacting the industrial structure. The Thiel index is introduced at the end of the paper to assess the rationality of Russia's industrial structure. This study analyses how Russia's industrial structure is changing through in-depth case studies and empirical research. It focuses in particular on the effects of economic events, policy, employment, and GDP on industrial structure, filling a vacuum in earlier research. Thirdly, this study also resolves the debate over the effects of policy, employment, and GDP on industrial structure, and it constructs a regression model for further empirical investigation.
The Political and Economic Influence of the 16+1 Initiative on CEE Countries: Focus on Visegrad Group
Wang, Ziyi ; Semerák, Vilém (advisor) ; Akdogan, Idil (referee) ; Paulus, Michal (referee)
This investigates the political and economic influence of the 16+1 Initiative on Central Eastern Europe countries, particularly on the Visegrad Group countries. In the recent decade, this initiative, which serves as an economic framework between CEE countries and China, has garnered significant interest in academia and within the policy dimension due to its probable economic and political implications in the region. This study, therefore, investigates the multifaceted nature and impact of the 16+1 initiative by analysing the economic influence on FDI inflows and bilateral trade between the Visegrad Group countries and China. It also delves into the political influence of the initiative in the region. To accomplish these objectives, this study conducts an econometric and comparative analysis of the existing FDI and trade flows data from the Eurostat database, World Bank Databases, academic journals and publications databases, and the United Nations Comrade Database. Two models are developed to aid the econometric data analysis: the fixed-effect panel model and the gravity model for trade flow. The findings of this study reveal a statistically significant positive influence of the Initiative on FDI inflows to the CEE countries (Visegrad Group) from China, highlighting that participation in the initiative is...
The Impacts of Economic Globalization on Poverty and Income Inequality: Evidence from CEECs
Hu, Yi ; Jeřábek, Petr (advisor) ; Amini, Chiara (referee) ; Semerák, Vilém (referee)
This paper aims to explore the relationship between economic globalization and poverty and income inequality in Central and Eastern Europe Countries (CEECs). Despite the considerable research on the effects of globalization on poverty and income inequality, there is a lack of consistent conclusions and a specific emphasis on CEECs. To address these research gaps, we employ two-way fixed-effects regression model, country fixed- effects regression model, and random effects-regression model to examine the impacts of the KOF economic globalization index as well as its sub-indices on World Bank absolute poverty estimates and World Bank Gini index estimates using panel data of nine high-income CEECs from 2004 to 2020. Overall, the study suggest that economic globalization reduces both poverty and income inequality in CEECs, which contradicts the expectation that globalization may exacerbate income inequality. By disaggregating the impacts of economic globalization, the results show that trade and financial globalization can significantly reduce poverty yet only financial globalization can substantially decrease income inequality. Additionally, positive effects of restrictions are more robust than those of actual flows. These findings support policies that promote economic openness in CEECs to mitigate...
Production shifting from China to Vietnam: Implications for Global Value Chains
Maderová, Karolína ; Semerák, Vilém (advisor) ; Vacek, Pavel (referee)
This thesis analyzes the importance of China within the global economy and assesses the potential of Vietnam to serve as its replacement, or at least for some industries. Using the network analysis and the hypothetical extraction method (HEM), the most influential sectors of the Chinese economy were identified and an increasing trend of reliance of the Westen countries on China's supply and demand was found. Next, using the trade decomposition method, the participation in GVC for Vietnam and China was calculated. Although Vietnam is increasing its participation and other countries are increasing their demand for inputs from Vietnam, based on the available data, it was not possible to determine whether these changes could mean that Vietnam can replace China in the future. JEL Classification C67, D57, F18, F52 Keywords Input-output model, HEM, network analysis, GVC Title Production shifting from China to Vietnam: Implications for Global Value Chains
The trade between Czech Republic and China: An investigation of Comparative Advantages.
Huang, Jiali ; Benáček, Vladimír (advisor) ; Semerák, Vilém (referee)
This thesis explores the comparative advantages between the Czech Republic and China in the context of the Belt and Road Initiative (BRI) and the "14+1" framework. The ongoing implementation of these initiatives suggests a potential increase in trade volume between the two countries. Currently, China is the fourth largest trading partner of the Czech Republic, although it also contributes to the highest trade deficit for Czechia in 2022. The Czech Republic constitutes a small portion of China's overall trade but remains the second-largest trading partner among the Central and Eastern European countries (CEEC). The main focus of the trade between the Czech Republic and China is machinery and transport equipment(SITC7 or HS84-87), which has been observed consistently between 2010 and 2021. By calculating the Revealed Comparative Advantage (RCA) index, this thesis reveals that both Czechia and China have competitiveness in these sectors. Furthermore, the Grubel-Lloyd index highlights a remarkable trade complementary relationship between the two study objects under this category. Applying the trade gravity model, this thesis uncovers that bilateral trade flow between Czechia and its trading partners is proportional to their population, the GDP of Czechia and its partners, and the common border....
Where did people die? An international assessment of a potentially positive relationship between economic development and the severity of COVID-19 outbreaks
Marigo, Jean-Baptiste ; Bertoli, Paola (advisor) ; Semerák, Vilém (referee)
This paper studies the relationship between development and COVID-19 severity at the country level, expressed as total deaths per million inhabitants. The original perspective of this work is to consider that economic development factors could have a causal effect on COVID-19 deaths, instead of studying the inverse relationship. Bayesian Model Averaging procedures are used to select the most relevant predictors from a set of 21 candidate variables, using cross-sectional data from 01/01/2020 to 10/30/2022. This method solves the uncertainty issue on a topic where many potential factors could be included. In the end, four variables are selected based on their statistical significance, on the size of their standard deviation, and on other interpretability considerations. Ranked by order of importance, these predictors are the median age, overweight prevalence, democracy index, and (hydroxy)chloroquine variables, although the latter suffers from certain weaknesses. As three of these variables are characteristic of development, these robust results suggest that as a country develops, it becomes more vulnerable to outbreaks such as the COVID-19 one. This paper therefore concludes that public health policies should focus on these variables to mitigate the impact of development on the severity of future...

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2 Semerák, Vojtěch
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