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引用次数: 18
摘要
配电往往表现出规模经济。在挪威,存在一些较小的配电系统运营商,因此有可能通过合并重组该行业。然而,挪威的收入上限监管模式并没有激励公司合并,因为合并会导致合并后公司的收入上限更严格。因此,监管者补偿公司是为了创造这样的激励。补偿金额是基于Bogetoft和Wang (Journal of Productivity analysis, 23,145 - 171,2005)引入的基于数据包络分析(DEA)的前沿方法估算的合并的潜在收益。然而,DEA只是可以用于估计的许多可能的边界估计器之一。此外,已知规模收益假设、企业经营环境、随机噪声和离群值的存在都会影响生产技术的估计。在本文中,我们探讨了在两个交替边界估计器下的不同假设如何影响挪威分销行业内合并收益的分布。我们的研究结果表明,行业的重组政策可能会显著改变,这取决于如何估计合并的潜在收益。
Specification of Merger Gains in the Norwegian Electricity Distribution Industry
Electricity distribution often exhibits economies of scale. In Norway, a number of smaller distribution system operators exist and thus there is potential to restructure the industry, possibly through mergers. However, the revenue cap regulatory model in Norway does not incentivize firms to merge as merging leads to a stricter revenue cap for the merged company. Thus the regulator compensates the firms in order to create such incentives. The amount of compensation is based on the potential gains of the merger estimated using a data envelopment analysis (DEA) based frontier approach introduced by Bogetoft and Wang (Journal of Productivity Analysis, 23, 145–171, 2005). DEA is however only one of many possible frontier estimators that can be used in estimation. Furthermore, the returns to scale assumption, the operating environment of firms and the presence of stochastic noise and outlier observations are all known to affect to the estimation of production technology. In this paper we explore how varying assumption under two alternate frontier estimators shape the distribution of merger gains within the Norwegian distribution industry. Our results reveal that the restructuring policies of the industry may be significantly altered depending how potential gains from the mergers are estimated.