Volatility and Market Structure

The article synthesizes information on database analysis of state, municipal, and regulated procurement through which Russian contract institutions and the market model are investigated. The inherent uncertainty of quantity indicators on contracting activities and process is identified and explained. The article provides statistical evidence for heterogeneous market structure in state and municipal procurement, and big player’s dominance. A theoretical model for market behavior, noncooperative competition and collusion is proposed, through which the major trends are explained. The intrinsic flaws and failure of the current contracting model are revealed and described. This ineffectiveness is regarded to be not a limitation, but a challenge to be met. If responded to, drivers for economic growth and market equilibrium will be switched on.

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Segmented Housing Market Structure in Istanbul Metropolitan Area and Observed Housing Price Differences Related to These Segments

10.15396/eres2002_201 ◽

2002 ◽

Keyword(s):

Market Structure ◽

Housing Market ◽

Metropolitan Area ◽

Housing Price ◽

Price Differences

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Market Structure and Labor Productivity: Industry Analysis

Productivity Review ◽

10.15843/kpapr.29.1.201503.3 ◽

2015 ◽

Vol 29 (1) ◽

pp. 3-33 ◽

Cited By ~ 2

Author(s):

김배근

Keyword(s):

Market Structure ◽

Labor Productivity ◽

Industry Analysis

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Investment Research and Market Structure—Today and Tomorrow

Financial Analysts Journal ◽

10.2469/faj.v28.n1.24 ◽

1972 ◽

Vol 28 (1) ◽

pp. 24-28

Author(s):

Walter P. Stern ◽

William C. Norby

Keyword(s):

Market Structure

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HIGH-TECH/LOW-TECH INDUSTRIES AND THE STRUCTURE-PERFORMANCE RELATIONSHIP WITHIN MEXICAN MANUFACTURES

PANORAMA ECONÓMICO ◽

10.29201/pe-ipn.v3i5.123 ◽

2017 ◽

Vol 3 (5) ◽

pp. 45

Author(s):

Dmitri Fujii

Keyword(s):

Discriminant Analysis ◽

Market Structure ◽

Recent Literature ◽

High Tech ◽

Technological Capabilities ◽

Empirical Application ◽

Empirical Results ◽

Statistical Robustness ◽

Analysis Technique

Recent literature on Mexican industry has emphasized its uneven sectorial development: some sectors have been successful, while the rest remain well behind. Given these circumstances, the present paper proposes a particular division for Mexican industry in High-Tech and Low-Tech sectors. This division is based on technological capabilities for a particular sample of industries during the nineties and verified for statistical robustness using the discriminant analysis technique. Finally, the division is used for an empirical application in terms of profitability and market structure. The empirical results reveal a diverse behaviour of the High-Tech and Low-Tech groups.

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