Data for: Estimation of productivity in Korean electric power plants: A semiparametric smooth coefficient model

Abstract of associated article: This paper analyzes the impact of load factor, facility and generator types on the productivity of Korean electric power plants. In order to capture important differences in the effect of load policy on power output, we use a semiparametric smooth coefficient (SPSC) model that allows us to model heterogeneous performances across power plants and over time by allowing underlying technologies to be heterogeneous. The SPSC model accommodates both continuous and discrete covariates. Various specification tests are conducted to assess the performance of the SPSC model. Using a unique generator level panel dataset spanning the period 1995–2006, we find that the impact of load factor, generator and facility types on power generation varies substantially in terms of magnitude and significance across different plant characteristics. The results have strong implications for generation policy in Korea as outlined in this study.

关联论文摘要：本文分析了负荷率（load factor）、场站设施与发电机组类型对韩国发电厂生产效率的影响。为精准捕捉负荷政策对电力产出的差异化影响，本文采用半参数平滑系数（semiparametric smooth coefficient, SPSC）模型，通过允许底层技术存在异质性，实现对不同发电厂及不同时段的异质性生产表现进行建模。该模型可同时兼容连续与离散协变量。本文通过多项模型设定检验对SPSC模型的性能进行评估。依托一套涵盖1995年至2006年的独特发电机组层面面板数据集，研究发现，负荷率、发电机组类型与场站设施类型对发电量的影响，在幅度与显著性层面均随电厂特征差异呈现显著分化。如本研究所述，上述结果对韩国发电政策具有重要的指导意义。