Sectoral Analysis of Public Procurement
Název práce v češtině: | Sektorová analýza veřejných zakázek |
---|---|
Název v anglickém jazyce: | Sectoral Analysis of Public Procurement |
Klíčová slova anglicky: | public procurement, public sector, public tender, European Union, efficiency, procurement procedure, price criterion |
Akademický rok vypsání: | 2017/2018 |
Typ práce: | bakalářská práce |
Jazyk práce: | angličtina |
Ústav: | Institut ekonomických studií (23-IES) |
Vedoucí / školitel: | PhDr. Miroslav Palanský, Ph.D. |
Řešitel: | skrytý![]() |
Datum přihlášení: | 13.06.2018 |
Datum zadání: | 13.06.2018 |
Seznam odborné literatury |
Kuhlman J. M., Johnson S. R. The Number of Competitors and Bid Prices. Southern Economic Journal, Vol. 50, No. 1, 1983, pp. 213-220.
Pomázi, K. A. Public Procurement as Auction. Theoretical Models and Practical Problems. Public Finance Quarterly, Vol. 57, Issue 4, 2012, pp. 381-393 OCHRANA, František. Hodnocení veřejných projektů a zakázek. 3., přeprac. vyd. Praha: ASPI, 2004. ISBN 80-7357-033-5. James C. Cox, R.Mark Isacc, Paula-Ann Cech, David Conn. Moral Hazard and Adverse Selection in Procurement Contracting. Games and Economic Behavior, Volume 17, Issue 2, 1996, pp. 147-176, ISSN 0899-8256, https://doi.org/10.1006/game.1996.0100. Brannman L., Klein, J. D., Weiss, L. W. The Price Effects of Increased Competition in Auction Markets. The Review of Economics and Statistics, Vol. 68, No. 1, 1987, pp. 24-32 Wooldridge, J. M.: Introductory Econometrics, Fourth Edition, South-Western, 2009 |
Předběžná náplň práce v anglickém jazyce |
Research question and motivation
Public procurement (PP) has been a widely discussed area for its complexity and lack of complete data. The term public procurement is defined as a process of purchasing goods, services and works by public authorities. The acquisition of goods and services represents government expenditures under national budget; therefore, the process should carry out efficient use of public resources. In my work, I would like to focus on sectoral analysis of public procurement within the European Union through descriptive statistics methods. Simple summaries and graphics analyses will be provided to contribute a better insight into the complexity of a data set. In each sector, the factors driving up the bidding price will be analysed and the differences of sectors whether a certain type of tender is preferred to another are going to be examined. Investigation of allocation of public resources by government entities will explain the variation in final price per unit as a function of market price, estimated price, and number of bidders. Last but not least, I will shed light on patterns of use of diverse procedures in particular sectors. Contribution As the data have been recently obtained, the data analysis of European Union public procurement contracts has not been performed yet. Therefore, provision of an analysis on sector basis is highly beneficial as it seems that there is a lack of sector-based literature within the EU. The goal of this thesis is to investigate public procurement activity within sectors with the use of descriptive statistics methods. Methodology The thesis is going to be split into two parts. Firstly, the relevant literature will be discussed, with focus on public procurement principles and concepts and the brief description of selection and evaluation procedures would follow. I will try to maximise the amount of information presented using appropriate methods to display data and results. In the second part, the empirical research will be conducted, figuring out what the driving forces in price variation in each sector are and investigate presence of underlying competitive discrimination. Conclusion will be drawn based on inferential statistics methods as testing hypotheses that have been made is desired. Outline 1. Introduction 2. Literature overview 3. Theoretical framework 3.1. Public procurement 3.1.1. Key principles and basic concepts: Legal framework, classification, methods 3.1.2. Process of tenders: Selection and evaluation procedures 3.2. Sectoral analysis 4. Empirical framework 4.1. Methodology 4.2. Data description 4.3. Data analysis 4.4. Testing hypotheses 4.5. Results 5. Conclusion |