Projects

Decision support system for achieving climate and energy goals in the Czech Republic

• Name in Czech: Systém na podporu rozhodování při dosahování klimaticko-energetických cílů v České republice
• Principal investigator: doc. Mgr. David Hampel, Ph.D.
• Principal Co-investigator: doc. Mgr. Ing. Jitka Janová, Ph.D., prof. Ing. Danuše Nerudová, Ph.D., Ing. Ondřej Pecina
• Project duration: 05/2024-04/2027
• Identification Code: TS01010108
• More info here

Aim

The aim of the project is the development of a decision support system for the application guarantor enabling (1) to analyse the socio-economic impacts of energy prices and the regulatory framework for reducing the energy consumption of buildings in the Czech Republic and (2) to optimise the strategies of implemented measures in terms of economic efficiency. The price elasticity of energy demand will be derived, the behaviour of end consumers and investors will be assessed and research on the economic impacts of SENB measures will be conducted, including the identification of the impacts of alternative measures on the building sector. In line with the call, the project aims to deliver high quality, scientifically sound evidence for effective governance decision-making in the energy sector.

Optimal policies under nonlinear constraints in economics of mixed forests

• Name in Czech: Optimální politiky za přítomnosti nelineárních vazeb v ekonomice smíšených lesů
• Principal investigator: Mgr. Ing. Jitka Janová, Ph.D.
• Project duration: 01/2018-12/2022
• Identification Code: GA18-08078S
• More info here

Aim

Conversion from pure coniferous to mixed forest stands is of highest importance for ecologically sustainable forestry in Central Europe. While there is a broad consensus that the conversion must be implemented without delay, the conversion process is too slow in the Czech Republic. The problem stems from the economic dimension: the pure coniferous stands are economically advantageous and even though the mixed forests are supposed to be economically comparable, the long run conversion process has unknown economic impacts. This project aims to fill in the gap in evaluating the economic consequences of conversion and subsequently the research evidence will be provided for finding valid optimal long-run conversion strategies under economic criteria while covering the technical -environmental constraints. Additional original results will be delivered by (i) evaluating economic impacts and related conversion policies of novel birch-included mixed forest stands and (ii) developing original verification and validation approaches for the conversion dynamic optimization models.

Robust approach to testing for normality of error terms in econometric models

• Name in Czech: Robustní přístup testování normality chybového členu v ekonometrických modelech
• Principal investigator: Ing. Luboš Střelec, Ph.D.
• Project duration: 01/2016-12/2020
• Identification Code: GA16-07089S
• More info here

Aim

This project is focused on robustification of the Jarque-Bera test statistic with focusing on overcoming shortcomings of classical normality tests in the field of economic data, which are typical with occurrence of remote data points and additional types of deviations from normality. For this purpose we use robust M-estimates, trimming approach and robust variants of the moments. We also provide thorough and systematic study of the behaviour of new robust testing procedures. Part of this project is also focused on finding of asymptotic properties of new robust normality tests and comparison of the classical and robust tests of normality against the broad-spectrum of alternative distributions and alternative distributions that are known to be problematic for the Jarque-Bera test – e.g. bimodal, uniform and Weibull alternatives and alternatives with presence of outliers, among others. We expect that we find some robust tests, which improve the power of the Jarque-Bera test against mentioned alternatives and also against typical alternatives of error terms in econometric models.

Decision making support system for the plant varieties agricultural policy in Czech Republic II

• Name in Czech: Systém na podporu rozhodování při tvorbě odrůdové zemědělské politiky v ČR II
• Principal investigator: doc. Mgr. David Hampel, Ph.D.
• Principal Co-investigator: doc. Ing. Václav Adamec, Ph.D., doc. Mgr. Ing. Jitka Janová, Ph.D.
• Project duration: 01/2014-12/2015
• Identification Code: TD020346
• More info here

Aim

The project aims to create a decision support system, through which will streamline and improve the process of plant varietal development and implementation of agricultural policies in the Czech Republic. The output of this project will be radically innovative software system for analysis of a image-type data coming from plant variety testing. High-quality primary data entering statistical evaluation and represents a major support for decision making and subsequent agricultural policies at the Central Institute for Supervising and Testing in Agriculture, Plant Variety Office. SW will be created to meet the current needs of users (quality of data processing, increasing the range of processable data, actual methodology used statistical processing, user-friendly environment, quality and fast data transfer to end users, open source allows future upgrades). Software will be created in the modern computational system MATLAB, which represents the current standard computing software and enable to fully exploit the possibilities of modern computer technology. Key functions of the system will be developed within 1 year, user interface and overlay functions within 2 years from the beginning of the project.

Non-holonomic constraints in optimal managing of dynamic economic systems in agriculture and natural resources

• Name in Czech: Neholonomní vazby v optimálním řízení dynamických ekonomických systémů v zemědělství a přírodních zdrojích
• Principal investigator: doc. Mgr. Ing. Jitka Janová, Ph.D.
• Project duration: 02/2013-12/2015
• Identification Code: GA13-25897S
• More info here

Aim

The optimal control theory is a promising tool to identify the long run strategies of policy making practices in agriculture and natural resources economics (ANRE). While it should be useful for managing ANRE systems, the results are still unsatisfactory. Where the optimal control policies have been determined, these often fail. It was shown that this is due to the shortcomings of the models constructed stemming mainly from neglecting non-linearities of real systems and miss identification of constraints among these variables. In a form of a basic research, this project focuses on developing valid nonlinear constraint structures reflecting the real-world relationships between variables of ANRE problems. The aim is to cover the dynamical structure of this class of problems (reflecting the sustainable planning) and to study the solution procedures of arising nonlinear optimal control models. For these purposes the apparatus of non-holonomic constraints will be used via unfolding the techniques theoretically well established in mathematics, mathematical physics and engineering.

Decision making support system for the plant varieties agricultural policy in Czech Republic

• Name in Czech: Systém na podporu rozhodování při tvorbě odrůdové zemědělské politiky v ČR
• Principal investigator: Mgr. Ing. Jitka Janová, Ph.D.
• Principal Co-investigator: doc. Ing. Václav Adamec, Ph.D., Mgr. David Hampel, Ph.D.
• Project duration: 01/2012-12/2013
• Identification Code: TD010128
• More info here

Aim

The project aims to create a decision support system, through which will streamline and improve the process of plant varietal development and implementation of agricultural policies in the Czech Republic. The output of this project will be radically innovative software system for statistical evaluation of primary data coming from plant variety testing, which represent a major support for decision making and subsequent agricultural policies at the Central Institute for Supervising and Testing in Agriculture, Plant Variety Office. SW will be created to meet the current needs of users (quality of data processing, increasing the range of processable data, actual methodology used statistical processing, user-friendly environment, quality and fast data transfer to end users, open source allows future upgrades). Software will be created in the modern computational system MATLAB, which represents the current standard computing software and enable to fully exploit the possibilities of modern computer technology. Key functions of the system will be developed within 1 year, user interface and overlay functions within 2 years from the beginning of the project.