How car dealers adjust prices to reach the product efficiency frontier in the Spanish automobile market

Omega ◽  
2015 ◽  
Vol 51 ◽  
pp. 38-48 ◽  
Author(s):  
Eduardo González ◽  
Ana Cárcaba ◽  
Juan Ventura
Keyword(s):  
Efficiency Frontier ◽  
Automobile Market

scholarly journals Regional Diversification of Potential, Production and Efficiency of Use of Biogas and Biomass in Poland

Energies ◽  
2021 ◽  
Vol 14 (3) ◽  
pp. 742
Author(s):  
Grzegorz Ślusarz ◽  
Barbara Gołębiewska ◽  
Marek Cierpiał-Wolan ◽  
Jarosław Gołębiewski ◽  
Dariusz Twaróg ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Biomass Production ◽  
Biogas Production ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Efficiency Frontier ◽  
The European Union ◽  
Production Potential ◽  
Solid Biomass ◽  
High Share

Energy obtained from renewable sources is an important element of the sustainable development strategy of the European Union and its member states. The aim of this research is, therefore, to assess the potential and use of renewable energy sources and their effectiveness from the regional perspective in Poland. The research covered the years 2012 and 2018. The diversification of production and potential of renewable energy sources was defined on the basis of biogas and biomass. Calculations made using the data envelopment analysis (DEA) method showed that, in 2012, only three voivodeships achieved the highest efficiency in terms of the use of biogas and biomass resources; in 2018, this number increased to four. Comparing the effective units in 2012 and 2018, it can be seen that their efficiency frontier moved upwards by 56% in terms of biogas and 21% in terms of to biomass. Despite a large relative increase in the production of heat from biogas by 99% compared to the production of heat from biomass by 38%, the efficiency frontier for biogas did not change considerably. It was found that the resources of solid biomass are used far more intensively than the resources of biogas. However, in the case of biogas, a significant increase in the utilization of the production potential was observed: from 3.3% in 2012 to 6.4% in 2018, whereas in the same years, the utilization of solid biomass production potential remained at the same level (15.3% in 2012, 15.4% in 2018). It was also observed that, at the level of voivodeships, the utilization of biogas and biomass production potential is negatively correlated with the size of this potential. The combined potential of solid biomass and biogas can cover the demand of each of the studied regions in Poland in terms of thermal energy. The coverage ranges from 104% to 1402%. The results show that when comparing biomass and biogas, the production of both electricity and heat was dominated by solid biomass. Its high share occurred especially in voivodeships characterized by a high share of forest area and a low potential for biogas production (Lubuskie Voivodeship, Zachodniopomorskie Voivodeship).

scholarly journals Two-phased DEA-MLA approach for predicting efficiency of NBA players

2014 ◽  
Vol 24 (3) ◽  
pp. 347-358 ◽  
Author(s):  
Sandro Radovanovic ◽  
Milan Radojicic ◽  
Gordana Savic
Keyword(s):  
Linear Regression ◽  
High Reliability ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Support Vector ◽  
Efficiency Frontier ◽  
Function Form ◽  
Vector Machines ◽  
Challenging Tasks ◽  
Dea Analysis

In sports, a calculation of efficiency is considered to be one of the most challenging tasks. In this paper, DEA is used to evaluate an efficiency of the NBA players, based on multiple inputs and multiple outputs. The efficiency is evaluated for 26 NBA players at the guard position based on existing data. However, if we want to generate the efficiency for a new player, we would have to re-conduct the DEA analysis. Therefore, to predict the efficiency of a new player, machine learning algorithms are applied. The DEA results are incorporated as an input for the learning algorithms, defining thereby an efficiency frontier function form with high reliability. In this paper, linear regression, neural network, and support vector machines are used to predict an efficiency frontier. The results have shown that neural networks can predict the efficiency with an error less than 1%, and the linear regression with an error less than 2%.

scholarly journals INFLUENCE OF PERSONAL VALUES ON CONSUMER CHOICE AND INTENTION TO BUY: A CASE OF CROATIAN AUTOMOBILE MARKET

2020 ◽  
Author(s):  
Ivana Tonković Pražić ◽  
Keyword(s):  
Statistical Analysis ◽  
Consumer Choice ◽  
Personal Values ◽  
Future Research ◽  
Buying Behavior ◽  
Automobile Market ◽  
Value Types

This paper aimed to identify the factors and segments of car buyers based on their personal values and analyzing their relation to car buyers’ choice and intention to buy. A survey involving 561 participants was conducted using the PVQ scale and additional questions about car-buying behavior. Upon collecting the data, statistical analysis was conducted that allowed for nine value types to be successfully distinguished among car buyers: benevolence, universalism, self-direction, stimulation, hedonism, achievement, and power, security, conformity, and tradition. Additionally, based on the abovementioned value types, different consumer segments were distinguished: "opened to change", "self-transcendent", "self-enhanced" and "conservative". Furthermore, the results show that segments of car buyers differ in their preferences of car models, i.e. they choose or intend to buy different car models. The conclusion presents the contribution of the paper, limitations, and guidelines for future research.

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