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An Principal-Agent Analysis of Energy Performance Contracting Mechanism Applied in Existing Building Energy Efficiency Retrofit

机译:既有建筑节能改造中的节能合同机制的委托-代理分析

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Energy performance contracting mechanism is an effective approach to achieve the market-oriented operation of existing buildings' energy-saving retrofit, whose rapid and wide-spread application, however, is impeded by energy-saving moral hazard problems. This article analyzes the optimal incentive contract design of energy performance contracting applied in existing building energy efficiency retrofit. By establishing the principal-agent model between Energy Service Company Organization (ESCO) and the owner of existing building, optimal incentive mechanism is analyzed under symmetric information and asymmetric information conditions. Besides, agency costs and the influence that other observed variables have on optimal incentive contract are also discussed. A series of suggestions is proposed to facilitate the development of energy performance contracting mechanism in aspects of promoting standardized contract templates, raising social awareness and providing support for independent third-party energy audit institutions. Results of this study show that when information is symmetric, ESCO does not undertake any risk and the optimal incentive contract loses incentive effects for ESCO. When asymmetric information exists, the risks of energy efficiency retrofit are shared by owners and ESCO, the optimal effort level is lower than that of symmetric information. If the correlation between other observed variables and outputs exists, the owner should set reasonable incentive intensity according to the main influencing factor of outputs.
机译:节能合同机制是实现既有建筑节能改造市场化运作的有效途径,但由于节能道德风险问题,其应用范围广泛。本文分析了在现有建筑节能改造中应用的节能合同的最优激励合同设计。通过建立能源服务公司组织(ESCO)与现有建筑物所有者之间的委托代理模型,分析了信息对称和信息不对称条件下的最优激励机制。此外,还讨论了代理成本以及其他观察变量对最优激励合同的影响。提出了一系列建议,以促进能源绩效合同机制的发展,其中包括促进标准化合同模板,提高社会意识以及为独立的第三方能源审计机构提供支持。研究结果表明,在信息对称的情况下,能源服务公司不承担任何风险,最优激励合同对能源服务公司失去激励作用。当存在不对称信息时,所有者和ESCO共同承担着节能改造的风险,最佳努力水平低于对称信息。如果存在其他观测变量与产出之间的相关性,则所有者应根据产出的主要影响因素设置合理的激励强度。

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