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Improved technical efficiency and exogenous factors in transportation demand for energy: An application of structural time series analysis to South Korean data

机译:提高能源运输需求中的技术效率和外生因素:结构时间序列分析在韩国数据中的应用

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This paper stresses the importance of incorporating the effects of improved technical efficiency and exogenous factors when estimating energy demand functions. Using annual time series data for the period 1973-2007 in the STSM (structural time series model) developed by Harvey et al. (26] the paper estimates price and income elasticities of demand for energy as well as the annual growth of the stochastic trend at the end of the estimation period. The results of the study reveal a long-run income elasticity of 1.37 and a price elasticity of -0.19. In addition, the underlying trend is generally stochastic and negatively sloping during the greater part of the estimation period. Finally, the estimated result from the structural time series is compared with the results from the Johansen Cointegration. These results suggest that income is the dominant factor in energy consumption. In addition, the coefficient of linear trend is negative, supporting the results from the STSM.
机译:本文强调了在估算能源需求函数时纳入提高的技术效率和外在因素的影响的重要性。在Harvey等人开发的STSM(结构时间序列模型)中使用1973-2007年的年度时间序列数据。 (26)本文估计了能源需求的价格和收入弹性以及估计期末的随机趋势的年增长率,研究结果显示长期收入弹性为1.37,价格弹性为(-0.19),此外,基本趋势在估计期间的大部分时间内都是随机的并且呈负斜率,最后,将结构时间序列的估计结果与Johansen协整的结果进行比较,这些结果表明收入是能耗的主要因素,此外,线性趋势系数为负,支持STSM的结果。

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