Measuring the Efficiency of Investment in the Deployment and Technology Development of Renewable Energy in Korea Using the DEA

Hong-Hee Kim․Deok-Joo Lee․Kyung-Taek Kim ․Sung-Joon ParkDepartment of Industrial and Management Systems Engineering, Kyung Hee UniversityThe purpose of this paper is to analyze the efficiency of government investment in the deployment and technological development of three technological areas - wind power, photovoltaic and fuel cell - of renewable energy in Korea using the DEA (data envelopment analysis). The efficiencies of government investment in renewable energies are measured and compared among three kinds of technologies using the actual data during 2007~2009. In the present DEA model, R&D investment and government subsidies for renewable energy usage promotion are selected as input variables, and the number of patents, supply level, and the production cost as output variable. As a result, it is found that the wind power is the most efficient renewable energy in Korea in the perspective of the efficiency of government investment.

[1]  A. Charnes,et al.  Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis , 1984 .

[2]  Abraham Charnes,et al.  Measuring the efficiency of decision making units , 1978 .

[3]  Carlos Pestana Barros,et al.  Technical efficiency of thermoelectric power plants , 2008 .

[4]  Emmanuel Thanassoulis,et al.  Weights restrictions and value judgements in Data Envelopment Analysis: Evolution, development and future directions , 1997, Ann. Oper. Res..

[5]  Daiki Min,et al.  Forecasting Renewable Energy Using Delphi Survey and the Economic Evaluation of Long-Term Generation Mix , 2013 .

[6]  Chul-Ung Lee,et al.  Measure the Productivity of Airports in Korea Considering Environment Factor : An Application of DEA , 2011 .

[7]  José Ramón San Cristóbal,et al.  A multi criteria data envelopment analysis model to evaluate the efficiency of the Renewable Energy technologies , 2011 .

[8]  Peng Zhou,et al.  A survey of data envelopment analysis in energy and environmental studies , 2008, Eur. J. Oper. Res..

[9]  Sung-Joon Park,et al.  Evaluation of the Economic Values and Optimal Deployment Timing of R&D Investment in New and Renewable Energy Using Real Option Approach , 2012 .

[10]  Jin-Li Hu,et al.  Total-factor energy efficiency of regions in China , 2006 .

[11]  Jin-Li Hu,et al.  Renewable energy and macroeconomic efficiency of OECD and non-OECD economies , 2007 .

[12]  Carlos Pestana Barros,et al.  The determinants of cost efficiency of hydroelectric generating plants: A random frontier approach , 2007 .

[13]  Sungmin Park,et al.  Identification of DEA Determinant Input-Output Variables : an Illustration for Evaluating the Efficiency of Government-Sponsored R&D Projects , 2014 .

[14]  Jiahai Yuan,et al.  Total-factor energy efficiency in developing countries , 2011 .

[15]  Hakyeon Lee,et al.  A DEA-Based Portfolio Model for Performance Management of Online Games , 2013 .

[16]  Eunnyeong Heo,et al.  Outcome Analysis on Renewable Energy Dissemination Program through Correlation Analysis and Effectiveness Indicator , 2010 .

[17]  C. Barros Efficiency analysis of hydroelectric generating plants : A case study for Portugal , 2008 .

[18]  Shunsuke Managi,et al.  Regulatory reforms and productivity : an empirical analysis of the Japanese electricity industry , 2008 .

[19]  Kyung-Taek Kim,et al.  Forecasting the Grid Parity of Solar Photovoltaic Energy Using Two Factor Learning Curve Model , 2012 .

[20]  Jin-Li Hu,et al.  Total-factor energy efficiency of regions in Japan , 2008 .

[21]  Jihyo Kim,et al.  Peer Review of Renewable Energy Dissemination Program , 2010 .

[22]  Nickolaos G. Tzeremes,et al.  Analyzing the Greek renewable energy sector: A Data Envelopment Analysis approach , 2012 .

[23]  P. Andersen,et al.  A procedure for ranking efficient units in data envelopment analysis , 1993 .

[24]  DEA와 맘퀴스트 생산성 지수를 활용한 OECD 국가간 의료서비스 효율성 분석 , 2012 .

[25]  Jae-Yun Kim,et al.  The Development of the DEA-AR Model using Multiple Regression Analysis and Efficiency Evaluation of Regional Corporation in Korea , 2012 .