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Who gets privatised? An empirical analysis of Polish manufacturing

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  • Katarzyna Mikolajczyk
  • Barbara M. Roberts

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Abstract

This paper employs a multinomial logit model to examine what determines the choice of a particular firm for a given privatisation method. A variety of hypotheses about possible determinants of ownership change are tested using an extensive data set for Polish manufacturing at the beginning of transition. The results at a firm as well as at a sector level give strong support to the hypothesis of the importance of resource constraints on the choice of ownership. Large firms with high financing requirement are more likely to be owned by outsiders. High sectoral capital intensity discourages small insider owned firms while high degree of product differentiation is a constraint for different investors, with the exception of outsiders. We also find that firm quality, measured by profitability and exporting outside the Soviet block, appeals to all types of investors but, additionally, privatisation offers outsiders ways of entering sectors with substantial entry barriers.

Suggested Citation

  • Katarzyna Mikolajczyk & Barbara M. Roberts, 2004. "Who gets privatised? An empirical analysis of Polish manufacturing," Discussion Papers in Economics 04/9, Department of Economics, University of Leicester.
  • Handle: RePEc:lec:leecon:04/9
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    Keywords

    privatisation methods; ownership change; multinomial logit;

    JEL classification:

    • P21 - Economic Systems - - Socialist Systems and Transition Economies - - - Planning, Coordination, and Reform
    • P31 - Economic Systems - - Socialist Institutions and Their Transitions - - - Socialist Enterprises and Their Transitions
    • L33 - Industrial Organization - - Nonprofit Organizations and Public Enterprise - - - Comparison of Public and Private Enterprise and Nonprofit Institutions; Privatization; Contracting Out
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities

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