|
|
Profit Maximization of Car Manufacturers Facing EU CO2 Emission Penalties From 2021
Leamer, Anthony David ; Večeř, Jan (advisor) ; Antoch, Jaromír (referee)
Title: Profit maximization of car manufacturers facing EU CO2 emission penalties from 2021 Author: Anthony David Leamer Department: Department of Probability and Mathematical Statistics Supervisor: prof. RNDr. Jan Večeř, Ph.D., Department of Probability and Mathematical Statistics Abstract: This paper sheds light on the newly coming emissions penalization sys- tem imposed on passenger vehicles registered in the EU. We analyze the penalty based on how it influences profit of the car manufacturers. After optimizing the profit margins car manufacturers impose on different vehicles we discuss what this means for the consumer and the manufacturer. We seek to answer the ques- tion 'Who is going to pay the penalty?'. In the last chapter we analyze real data to see if the penalty will motivate manufacturers to produce more eco-friendly passenger cars. The data shows that the manufacturers will lose profit until the fleets' average emissions fall within the limits. The maximization apparatus developed in this paper is indeed standard - in the sense that there are no new theories developed - although the problem is new to the extent that it requires new creative use of specific parts of optimization theory. Moreover the decision of the EU to implement drastic measures to bring down, 'on road CO2 emissions', leads...
|
|
|
Willingness to pay for streaming services: Evidence from the Czech Republic
Strnadová, Ivana ; Polák, Petr (advisor) ; Kučera, Adam (referee)
The aim of this thesis is to analyze the consumers' willingness to pay for subscription- based video streaming services in the Czech Republic. With the unique data collected via self-developed questionnaire both the willingness to pay and the maximum price that consumers would be willing to pay for such services is examined. Using the logistic regression, variables that have a significant effect on the probability of subscribing were identified. These include the age, education level, preference for original sound and Czech movie production, online payments, purchase of an electronic movie, number of devices used, cinema visits, favouritism of movies over TV shows, satisfaction with the content offered by common broadcasting stations and desire for spatial mobility when accessing video content. Similar results were obtained when predicting the price using OLS. Additionally a previous purchase of a physical medium and the income level were found significant. Based on demand estimation this thesis also suggests that from the provider's perspective the optimal profit maximization price for streaming services should be set in the range from 218 to 283 CZK.
|
guest ::
