Panel Data for DEA and Econometric Analyses

This study used two inputs variables; total hydropower installed capacity (megawatts per hour) and long-term average annual precipitation (in volume), and inputs costs; mean renewable energy feed-in tariffs (USD), and dam capacity per capita. One output variable which is hydroelectricity generation (terawatts per hour), was used to measure the cost-efficiency and its decompositions. Static panel regression analysis in the second stage with a partial log form of the variables in each of the three model estimated. where Cost Efficiency (CE) of country (i) in period (t) obtained from the DEA in the first stage, inflation rate based on consumer price index (INF), log of gross domestic product (GDP), log of labour input (numbers of labours), investment proxy for research & development (INV).本研究共纳入四类变量：第一类为输入变量，包含水电总装机容量（单位：兆瓦每小时）与长期年均降水量（以体积计量）；第二类为投入成本变量，涵盖平均可再生能源上网电价（单位：美元）与人均大坝库容。本研究以水力发电量（单位：太瓦每小时）作为输出变量，用于测算成本效率（Cost Efficiency，CE）及其分解项。第二阶段采用静态面板回归分析方法，对三个估计模型中的所有变量均采用偏对数形式设定。其中，第一阶段通过数据包络分析（DEA）得到第t期国家i的成本效率（CE），同时纳入的控制变量包括：基于消费者价格指数的通货膨胀率（INF）、国内生产总值（GDP）的对数形式、劳动投入的对数形式（以劳动力数量计）、用作研发（Research & Development，R&D）代理变量的投资额（INV）。