基础设施公司的生产力驱动因素:数字时代利用规模经济的网络产业

IF 2.5 4区 经济学 Q2 ECONOMICS Annals of Public and Cooperative Economics Pub Date : 2023-01-11 DOI:10.1111/apce.12412
Ryota Nakatani
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引用次数: 3

摘要

是什么推动了基础设施公司的生产力动态?利用14个国家的公司面板,我们研究了公用事业和网络服务公司的全要素生产率(TFP)增强器。我们发现,与欧洲国家相比,全要素生产率向技术前沿靠拢对亚洲国家生产率增长的推动速度更快。我们还发现,金融杠杆对大型基础设施企业的全要素生产率增长具有正向影响,金融发达国家通过更好地利用金融资源来利用规模经济。大型公用事业和运输公司显示出较高的全要素生产率增长率,表明鼓励并购的竞争政策对公用事业/运输部门来说是谨慎的,以最大限度地实现规模经济。相比之下,我们发现一些国家的能源公司存在规模不经济现象。此外,年轻的网络公司提高全要素生产率的速度比那些产品市场监管较少的国家的同行更快。因此,政策应该消除进入壁垒,同时促进老的和低生产率的企业离开网络市场。最后,政策制定者应为无形投资提供目标明确的财政激励,以提高全要素生产率,因为数字技术等无形资产的积累通过网络效应促进了规模经济的发展。
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Productivity drivers of infrastructure companies: Network industries utilizing economies of scale in the digital era

What drives the productivity dynamics of infrastructure companies? Using a panel of firms in 14 countries, we study total factor productivity (TFP) enhancers of utility and network services companies. We find that moving TFP closer to the technological frontier drives productivity growth at higher speeds in Asian countries than in European countries. We also find that financial leverage exerts a positive effect on TFP growth for larger infrastructure firms and that more financially developed countries utilize economies of scale through better use of financial resources. Large utility and transportation companies display a higher rate of TFP growth, indicating that a competition policy to encourage M&As would be prudent for the utility/transportation sectors to maximize economies of scale. In contrast, we find diseconomies of scale for energy companies in some countries. Moreover, young network firms improve TFP growth faster than their peers in countries with fewer product market regulations. Therefore, policies should remove entry barriers while facilitating the departure of old and low-productivity firms from network markets. Finally, policymakers should offer well-targeted fiscal incentives for intangible investments to boost TFP because the accumulation of intangible assets such as digital technology promotes more scale economies through network effects.

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来源期刊
CiteScore
3.80
自引率
12.50%
发文量
37
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