A Stochastic Frontier Analysis for Energy and Carbon Dioxide Emission Efficiencies of the Baltic Sea Countries

• Main Authors: Hsiao, Wen-Ling, 蕭玟玲
• Other Authors: Hsiao, Chan
• Format: Others
• Language: en_US
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/759vw2

博士 === 國立交通大學 === 管理科學系所 === 107 === Since energy is an indispensable resource for economic development, effective energy usage provides a solution for solving the conflict among economic development, energy conservation, and environmental sustainability. Using the stochastic frontier analysis (SFA) model, this research measures total-factor energy efficiency (TFEE) and disaggregate input efficiency for 10 countries across the Baltic Sea from 2004 to 2014. Real capital, labor, energy use, and carbon dioxide (CO2) are input variables, real gross domestic product (GDP) is the output variable, and renewable energy consumption and urban population are the environmental variables. The results provide not only the TFEE scores, in which statistical noise is considered, but also the determinants of inefficiency, noting the following. (i) Norway, Sweden, Finland, and Latvia perform better with respect to energy efficiency than other countries in the Baltic Sea Region. (ii) Interestingly, the average energy use efficiency scores from 2004 to 2014 in the 10 Baltic countries exhibit a gradual upward trend except for 2009. (iii) When estimating disaggregate energy efficiency, higher renewable energy consumption and urban population correspond to higher TFEE scores. (iv) When estimating disaggregate CO2 emissions, higher renewable energy consumption and urban population correspond to higher TFEE scores.