PRIVATISATION VS. PRODUCTIVITY IN POLAND

Slides:



Advertisements
Similar presentations
Possibilities of exploiting administrative data in short term statistics in Poland Jacek Kowalewski STATISTICAL OFFICE IN POZNAŃ.
Advertisements

Labour market statistics in Poland. Labour supply, labour demand employment, job vacancy, unemployment Current statistics How we collect the data Household.
Mainstream Enterprise Statistics Richard McMahon Head of STS Division Central Statistics Office, Ireland.
Joint Presentation to Joint Committee on Finance, Public Expenditure and Reform by Central Bank of Ireland and Central Statistics Office Non-Financial.
Electronic reporting in Poland 27th Voorburg Group Meeting Warsaw, Poland October 1st to October 5th, 2012 Central Statistical Office of Poland.
3rd Nordic Marketing conference, W2 Helsinki June, Audronė Miškinienė Head, Public Relations Division, SL WG 2.
The Small-Firm Sector. Defining the Small-firm Sector EU definition of SMEs –by number of employees micro enterprises small enterprises medium enterprises.
Types of Business Lesson 5. BUSINESS CLASSIFICATIONS Business organisations can be classified in a number of different ways. The key classifications include:
1 Session Number: Session 5a (Parallel) “ Measuring the Informal Economy in Developing Countries ” September 24, 16:00-17:30 Informal Sector and Informal.
Accounting 1001 Presentation of Ratios for Final Project Presented by: Cori Sylvia 12:30 Section May 2001 Final Project Dr Hiltebeitel.
Education, Training and Establishment Survival William Collier, Francis Green & Young-Bae Kim.
May 2012 ESSnet DWH - Workshop III BUSINESS REGISTER IN STATISTICS LITHUANIA Jurga Rukšėnaitė Chief specialist.
Georgia: business register data and gender-disaggregated indicators Tengiz Tsekvava Technical Meeting on Measuring Entrepreneurship from Gender Perspective.
1 Turnover/output measures in the telecommunication industry in Norway 23 rd Voorburg Group Aguascalientes, Mexico September 2008 Mona Irene Andersen.
1 Exports and Productivity Link in Manufacturing: Microeconomic Evidence from Croatia Gorana Lukinić Čardić Dubrovnik, June 23, 2010.
>>. ESSnet Measuring Global Value Chains 1.Globalisation indicators 2.Methodological development and support for International Organisation and Sourcing.
1 Trade Credit in Japan: Relationship with Bank Loans November 2003 Iichiro Uesugi Research Institute of Economy, Trade and Industry and METI.
The Business Environment and Business Economics
Data sources of the EuroGroups Register Presentation by Eurostat
Małgorzata Skrzek-Lubasińska, PhD Tradition or modernity. Development of self-employment in Poland by the sections of the economy.
1 PRIVATIZATION Dr. Suad Husnan Faculty of Economics Gadjah Mada University October 24, 2002.
Piotr Bolibok, PhD The John Paul II Catholic University of Lublin Department of Banking THE IMPACT OF NON-FINANCIAL ENTERPRISE SECTOR EARNINGS ON BANKING.
Small Business and Special Surveys Division Statistics Canada Entrepreneurship Indicators Project Steering Group Meeting Istanbul June 25-27, 2007.
4-6 September 2013, Vilnius Quality in Statistics: Administrative Data and Official Statistics USING ADMINISTRATIVE DATA SOURCES IN OFFICIAL.
Regional Roundtable on
Statistical Business Register– the Estonian experience
The new London Business Survey:
Budapest, Hungary, 21 October, 2016 CESS 2016
Summary of component 9: Statistical Business Register
Foreign AffiliaTes Statistics (FATS): Outward FATS
GCSE Business Studies Unit 2 Developing a Business
Business Size Unit 1 Module 1
Cooperation of statistical register and survey departments in Statistics Estonia 22nd Meeting of the Wiesbaden Group on Business Registers Tallinn,
Statistical definitions of informal economy Informal sector
Analyzing financial statements
Gender wage inequalities in Serbia
SBS 2013 CSO of Poland TF SMED 24 June 2015.
Foreign AffiliaTes Statistics (FATS): Inward FATS
Employees (thousands)
Quality Aspects and Approaches in Business Statistics
Lesson 01 History, Definition and Concepts of SMEs
China: How rapid a convergence?
ADMINISTRATIVE DATA IN ANNUAL BUSINESS STATISTICS OF LATVIA
TNS ICAP 64, Vas. Sofias Ave., Athens T: (+30) E:
Ten years of centralised data collection
Domestic extraction of mineral raw materials
PRODCOM-Statistics in Austria
Eurostat-ECE Seminar on Business Registers June 21-22, 2005
Use of register-based information for small area statistics
PRODCOM survey in Poland
Business Register as a basic tool for the production of statistics
Structural Business Statistics
Concepts of industry, occupation and status in employment - Overview
Overview of the Powys Economy
DEVELOPMENT OF IMPUTATION MODEL FOR SMALL ENTERPRISES
How to build statistics on business take-over ?
Statistical units in the public sector
The Productivity Effects of Privatization Longitudinal Estimates using Comprehensive Manufacturing Firm Data from Hungary, Romania, Russia, and Ukraine.
ESTP – Structural Business Statistics Luxembourg, March 2013
Statistical Business Register– the Estonian experience
Steven Fries Deputy Chief Economist
London Business School and City University, London
Parallel Session: BR maintenance Quality in maintenance of a BR:
Estimating as a Way of Improving and Completing Administrative Data
Structural Business Statistics
DEVELOPMENT AND MANAGEMENT
Hanna Gembarzewska, Monika Grabani
Low Wage Level Less Than 35% Earn $23,000 a Year or Less *
ՀՀ ԱԶԳԱՅԻՆ ՎԻՃԱԿԱԳՐԱԿԱՆ ԾԱՌԱՅՈՒԹՅՈՒՆ
Moshe Farjoun (1998) Strategic Management Journal
Presentation transcript:

PRIVATISATION VS. PRODUCTIVITY IN POLAND Paper prepared by: Jacek KOTOWSKI Izabella ZAGOŹDZIŃSKA Central Statistical Office of Poland

CONTENT OF THE PAPER Short description of privatisation process in Poland legal basis scale and present state Comparison of private and state owned entities’ behaviour survival rate employment basic financial results labour productivity Plans for the future

PROVATISATION – LEGAL BASIS Three transformation procedures: Indirect privatisation 1st step – commercialisation 2nd step – sale to private owners Direct privatisation Liquidation

PRIVATISATION – SCALE AND PRESENT STATE 1990 – beginning of the process Up to 2004 in total 5511 enterprises were included in ownership transformation process (excl. agriculture) of which 2358 entities were privatised 343 – indirectly 2015 – directly 961 entities were liquidated

PRIVATE VS. STATE ENTITIES Scope of the analysis: Enterprises active in 1999-2004 as: Panel A – private Panel B – state Enterprises with 10+ employed persons C, D & E NACE sections

POPULATION OBSERVED (1999) Private State Total industry 853 470 of which: C 23 25 D 741 428 E 89 17

SURVIVAL RATE 1999-2004 Private State Total industry 68.93 44.47 of which: C 91.30 64.00 D 66.40 42.29 E 84.27 70.59 Similar differences in manufacturing divisions

Average employment in 2004 (per 1 unit) Private State C 326 555 D 324 221 E 382 741

EMPLOYMENT REDUCTIONS BETWEEN 1999 AND 2004 Private State Total industry 36% 33% of which: C D 31% 35% E 54% 26% In general higher reductions at the beginning of the period. In private entities increase of employment in 2004.

TURNOVER IN 2004 (per 1 unit – in ths. PLN) Private State Total industry 121913 61270 of which: C 32490 77944 D 106262 46865 E 249624 256308 In C and E turnover in private entities increased faster than in state enterprises.

PRODUCTION COST RATE – 2004 Private State Total industry 92.8 93.5 of which: C 92.6 97.4 D 94.2 93.3 E 88.9 92.3 In D only in 2004 higher in private entities.

TURNOVER IN 2004 (per 1 employee – in ths. PLN) Private State Total industry 374 222 of which: C 204 140 D 328 212 E 654 346 In 1999-2004 growth rate higher in private entities.

PROFIT IN 2004 (per 1 employee – in ths. PLN) Private State Total industry 26.9 14.5 of which: C 15.1 3.6 D 19.0 14.3 E 72.6 26.5 In 1999-2000 higher in state enterprises but since 2001 very fast increase in private entities (sections C and E).

CONCLUSIONS Private owner better results higher labour productivity

PLANS FOR THE FUTURE Further analysis planned Larger use of statistical surveys’ results: B&R FATS