Shortage intensity, priority penetration, and resource allocation in socialist industry: a translog shadow cost model.

A study was conducted to examine the effects of priority and shortage intensity on resource allocations in socialist industry through a temporary equilibrium model of a shadow cost minimizing socialist industry. Data were drawn from the Hungarian mining and chemicals sectors for the period 1955-85....

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Publicado en:Journal of Comparative Economics Vol. 19; pp. 237 - 260
Autor principal: Reiman, Mark A.
Formato: Artículo
Publicado: Academic Press Inc. October 1994
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: October 1994
      vid: 19
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      pub: Academic Press Inc.
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        10.1006/jcec.1994.1084
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        atl: Shortage intensity, priority penetration, and resource allocation in socialist industry: a translog shadow cost model.
      aug:
        au: Reiman, Mark A.
      su:
        Resource allocation -- Mathematical models
        Shadow prices
        Industrial priorities (Government)
        Industrial policy
        Hungary
      sug:
        subj:
          Hungary
          Resource allocation -- Mathematical models
          Shadow prices
          Industrial priorities (Government)
          Industrial policy
      keyword:
        Chemical industry -- Hungary -- History
        Mines and mineral resources -- Hungary -- History
      ab: A study was conducted to examine the effects of priority and shortage intensity on resource allocations in socialist industry through a temporary equilibrium model of a shadow cost minimizing socialist industry. Data were drawn from the Hungarian mining and chemicals sectors for the period 1955-85. Findings indicate that increasing shortage intensity raises the relative shadow price of the scarce input. Increasing priority status tends to soften the terms on which material inputs are allocated to the two sectors, promoting overutilization relative to nominal cost minimization levels of 82.3 percent for the chemicals sector and 37.5 percent for the mining sector.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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