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Price transmission among biofuels and related commodities
Název práce v češtině: Cenový přenos mezi biopalivy a příbuznými komoditami
Název v anglickém jazyce: Price transmission among biofuels and related commodities
Akademický rok vypsání: 2017/2018
Typ práce: bakalářská práce
Jazyk práce: angličtina
Ústav: Institut ekonomických studií (23-IES)
Vedoucí / školitel: prof. Ing. Karel Janda, Dr., Ph.D., M.A.
Řešitel: skrytý - zadáno vedoucím/školitelem
Datum přihlášení: 13.06.2018
Datum zadání: 13.06.2018
Datum a čas obhajoby: 08.09.2020 09:00
Místo konání obhajoby: Opletalova - Opletalova 26, O314, Opletalova - místn. č. 314
Datum odevzdání elektronické podoby:31.07.2020
Datum proběhlé obhajoby: 08.09.2020
Oponenti: Mgr. Dominik Herman
 
 
 
Kontrola URKUND:
Seznam odborné literatury
Štěpán Chrz & Karel Janda & Ladislav Krištoufek, 2014. " Modeling Interconnections within Food, Biofuel, and Fossil Fuel Markets," Politická ekonomie, University of Economics, Prague, vol. 2014(1), pages 117-140.

Ondrej Filip & Karel Janda & Ladislav Kristoufek & David Zilberman, 2017. "Food versus Fuel: An Updated and Expanded Evidence," Working Papers IES 2017/26, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Nov 2017.

Hochman, Gal & Zilberman, David, 2016. "Corn Ethanol and US Biofuel Policy Ten Years Later: A Systematic Review and Meta-analysis," 2016 Annual Meeting, July 31-August 2, 2016, Boston, Massachusetts 235467, Agricultural and Applied Economics Association.

Kristoufek, Ladislav & Janda, Karel & Zilberman, David, 2012. "Relationship Between Prices of Food, Fuel and Biofuel," 131st Seminar, September 18-19, 2012, Prague, Czech Republic 135793, European Association of Agricultural Economists.

Ladislav Krištoufek & Karel Janda & David Zilberman, 2012. "Correlations between biofuels and related commodities: A taxonomy perspective," Working Papers IES 2012/15, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jun 2012.
Předběžná náplň práce
Research question and motivation:
The topic of biofuels became more interesting and important after the oil crisis of the 1970s as a possible replacement for fossil liquid fuels. At present biofuels is important environmental, economic and socio-political topic discussed worldwide as part of the discussion about climate and environmental changes and also of food and energy safety. Global production of biofuels experienced a rapid increase in last decades. The main drivers behind this growth are government policies which have been justified based on topic of food and energy safety as well as topic of climate changes. In this thesis I will be studying the relationships between biofuel and related commodities prices.

Some studies are already dedicated to this topic (Štěpán Chrz & Karel Janda & Ladislav Krištoufek, 2014. " Modeling Interconnections within Food, Biofuel, and Fossil Fuel Markets," Politická ekonomie, University of Economics, Prague, vol. 2014(1), pages 117-140.).

Contribution:
Given the very dynamic development of the economics of biofuels sub-field, the bachelor thesis will contribute to the frontiers of knowledge on biofuels price transmission by providing quantitative econometric estimations of biofuels price transmission based on the most recent detailed data. The bachelor thesis will also provide the most up-to-date detailed review of biofuels price transmission literature and the relevant descriptive statistics of the biofuels production, consumption on global and regional scales.
The bachelor thesis will also provide qualitative expert predictions of expected near future development in the area of biofuels with a focus on price transmission among biofuels and relevant commodities.

Methodology:
For the purpose of this thesis I will use dataset, which was used in
(Filip, O. & Janda, K. & Kristoufek, L. & Zilberman, D.: Dynamics and evolution of the role of biofuels in global commodity and financial markets, Nature Energy 1:16169) along with the newest data.
I will use standard econometrics techniques like: Single Equation Models; Single Variables;Time-Series Models; Dynamic Quantile Regressions

Outline
1. Introduction
2. Literature Review
3. Data introduction
4. Methodology
5. Results
6. Conclusion
 
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