Combining DEA Window Analysis with the Malmquist Index Approach in a Study of the Canadian Banking Industry

Although resources are scarce and outputs incorporate the potential to save human lives, efficiency measurement endeavors with data envelopment analysis (DEA) methods are not yet commonplace in the research and practice of non-government organizations (NGO) and states involved in humanitarian logistics. We present a boot-strapped DEA window analysis and Malmquist index application as a methodological state of the art for a multi-input and multi-output efficiency analysis and discuss specific adaptions to typical core challenges in humanitarian logistics. A characteristic feature of humanitarian operations is the fact that a multitude of organizations are involved on at least two levels, national and supra-national, as well as in two sectors, private NGO and government agencies. This is modeled and implemented in an international empirical analysis: First, a comprehensive dataset from the 34 least developed countries in Africa from 2002 to 2015 is applied for the first time in such a DEA Malmquist index efficiency analysis setting regarding the national state actor level. Second, an analysis of different sections in a Rohingya refugee camp in Bangladesh is analyzed based on a bootstrapped DEA with window analysis application for 2017, 2018, and 2019 quarter data regarding the private NGO level of operations in humanitarian logistics.

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DEA window analysis and Malmquist index to assess efficiency and productivity in the Spanish electricity sector

International Journal of Energy Sector Management ◽

10.1108/ijesm-03-2019-0020 ◽

2020 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Jaime Sánchez-Ortiz ◽

Teresa Garcia-Valderrama ◽

Vanesa Rodríguez-Cornejo ◽

Francisca Cabrera-Monroy

Keyword(s):

Malmquist Index ◽

Electricity Sector ◽

Theory Of Constraints ◽

Economic Regulation ◽

Data Envelopment ◽

Electricity Distribution ◽

Content Type ◽

External Constraints ◽

Efficiency And Productivity ◽

Dea Window Analysis

Purpose The purpose of this paper is to demonstrate that overcapacity and tariff deficit (external constraints) negatively affect the efficiency of distribution firms in the Spanish electricity sector. To do this, the paper is based on the theory of constraints and theory of economic regulation. Design/methodology/approach Data envelopment analysis (DEA) window methodology is carried out on the constant scales (I-C) with a sample consisting of five main distribution firms during the period from 2006 to 2015. In turn, an analysis of the Malmquist index is carried out to assess whether it has had a displacement with respect to the efficiency frontier. Findings The results show that the overcapacity and the tariff deficit negatively affect the efficiency of the distribution firms of the Spanish electricity sector. In addition, there is an existence of external constraints that affect the activities of regulated organisations and the importance of adequate legislation in regulated sectors. Originality/value This study defines a model that shows how the efficiency problems associated with electricity distribution companies such as productive overcapacity or tariff deficit can be measured based on the theory of constraints and theory of economic regulation.

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