A note on the evolution of directional distance function and its development in energy and environmental studies 1997–2013

• Published in: Renewable & sustainable energy reviews Vol. 33; pp. 50 - 59
• Main Authors: Zhang, Ning, Choi, Yongrok
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier Ltd 01.05.2014; Elsevier
• Subjects: Air pollution caused by fuel industries; Applied sciences; Data envelopment analysis (DEA); Directional distance function (DDF); Energy; Energy and environmental (E&E) modeling; Energy economics; Energy policy; Energy. Thermal use of fuels; Environmental efficiency; Environmental productivity growth; Exact sciences and technology; General, economic and professional studies; General. Regulations. Norms. Economy; Methodology. Modelling; Data envelopment analysis (DEA); Directional distance function (DDF); Energy and environmental (E&E) modeling; Environmental productivity growth; Environmental efficiency; Energy consumption; Directional distance function; Methodology; Pollution control; Sustainable development; Environmental management; Modeling; Environment efficiency; Environment impact; Energy demand; Energy efficiency; Energy management; Environmental protection
• ISSN: 1364-0321; 1879-0690
• DOI: 10.1016/j.rser.2014.01.064

Recently, a relatively new methodology named directional distance function (DDF) has been attracting positive attention in the field of energy and environmental (E&E) modeling. However, there is still no literature review on the application of DDF in E&E studies. This paper is intended to fill this gap. First, the most widely used DDF techniques and its extensions are briefly introduced. Second, this article attempts a classification of typical publications in this field. The main issues raised by the previous studies are discussed. Some guidelines for model selection and future directions are proposed for DDF related research in E&E studies.