Ane Elixabete Ripoll-ZarragaAutonomous University of Barcelona | UAB · Faculty of Economics and Business Studies
Ane Elixabete Ripoll-Zarraga
Ph.D. International and Industrial Doctorate in Entrepreneurship and Management
I am researching the inefficiency of US Airlines and public services provision (water supply, health, prisons, councils)
About
20
Publications
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Citations
Introduction
i. Operations Research, Efficiency analysis and Capacity utilisation in air transport and airport operations.
Methodologies: Data Envelopment Analysis (DEA) and Stochastic Frontier Analysis (SFA). Multidimensional Scaling, DEA Visualisation.
ii. Critical assessment of Data, in particular, for benchmarking purposes accounting for accounting and auditing national regulatory framework.
iii. Critical analysis of public investment financed by taxpayers, i.e., infrastructure, and services.
Additional affiliations
September 2020 - August 2021
Plymouth University
Position
- Senior Lecturer
September 2015 - September 2015
The London School of Economics and Political Science
Position
- Guest Lecturer
October 2014 - September 2015
Publications
Publications (20)
Purpose
The Spanish airport system contains several regional airports within an amenity distance and alternative travel modes. Profitable airports cross-subsidise small airports, which are not required for regional development or connectivity. Airports are government-owned and centralised-managed by Spanish Airports and Air Navigation (AENA, for it...
Efficiency analysis on public services such as water resource management is in vogue per investments financed by taxpayers. However, in regulated sectors, i.e., without competition, the DEA results for decision-making are questionable. Indeed, DEA is sensitive to the data, the inputs and outputs of the researcher's choice -highly influenced by outl...
Adequate management, supervision and control are essential for effective airport operations decisions. The Board Structure (internal mechanism of corporate governance) embeds a monitor system (one or two-tier system) for decision-making processes according to the airports' needs and shareholders' best interests. However, other factors could implici...
This study investigates to what extent the investment in airports' infrastructure has enhanced and promoted the economic growth in Central and Eastern European Countries (CEE), where airports have transformed into market-orientated businesses. Airport infrastructure is becoming part of the quality of service. It determines the attractiveness for ai...
We study DEA efficiencies of 47 Spanish airports over the period 2009–2013. Because the selection of inputs and outputs in the DEA model is problematic, we consider 186 input/output specifications obtained by combining four inputs and five outputs. Given the large differences in size between the airports, we use Variable Returns to Scale. Since it...
Airport performance differences require a better understanding of the sources of efficiency and competitive advantages. Globalization drives the air transport industry into a more market-orientated business questioning the relationship between managerial decisions and airport performance. Aviation management studies do not consider managerial capab...
In recent years the Spanish government has invested significantly in the infrastructure of airports. It is not clear if this investment has been efficiently applied. Airports operate as independent profit centres but are under the control of a central authority, AENA. We study Spanish airport efficiency using Data Envelopment Analysis (DEA). In sta...
A centralised data envelopment analysis (DEA) approach optimises the resource usage for all the different units in an organization rather than for each unit separately (conventional DEA). This is particularly relevant for the Spanish airports controlled centrally by the Spanish airport authority rather than by individual airport managers. In this s...
The Spanish airports are managed centrally by a government-owned company (AENA). The public investments made in the latest years, airports managers' inability to decide commercial policies and the lack of competition end with more than one under-used airport within an amenity distance. Airports' managerial decisions require considering regional nee...
A centralized data envelopment analysis (DEA) approach optimises the resource usage for all the different units in an organization rather than for each unit separately (conventional DEA). This is particularly relevant for the Spanish airports since the inputs and outputs are controlled centrally by a government-owned company rather than by individu...
Abstract
The Spanish airports are managed centrally by a government owned company named AENA. The excessive public investments; airports managers’ inability to decide commercial policies and lack of competition end in uncongested regional areas with more than one airport in an amenity distance. Most of the airports become highly inefficient when tr...
In recent years the Spanish government has invested significantly in the infrastructure of airports. It is not clear if this investment has been efficiently applied. The Spanish airport system is centralised. Airports operate as independent profit centres but are under the control of a central authority, AENA. This means that, in Spain, non-profita...
In recent years, the calculation of efficiency has been based on Data Envelopment Analysis (DEA) models. DEA attempts to establish if the resources that a particular unit being assessed uses could have been better employed in other units of the same system. The idea is simple but the mathematical model is relatively complex and has important shortc...
This paper focuses on comparing the efficiency of the Spanish airports to the British major airports
during a period of seven years. Since the deregulation process in Europe started in the middle of
80’s (1986-87) European countries have achieved different degree levels of deregulation translated
into mixed types of ownership and management. Strong...
The research techniques depend on the variables, which across the decision-maker has to decide, are quantitative or qualitative and their potential combinations. The research methods if explained from a practical perspective makes the audience to realise about their applicability in different scenarios similar to real life: which flat to buy; choos...
Questions
Questions (2)
After performing a SFA with and without Fixed Effects, I have finally decided to use FE for some specific DMUs (I have 49 airports in my sample for a period of five years). My problem now is that although the overall model works (Battese and Coelli, 1992), including the DMUs that I have identified as being special (unique in terms of characteristics), mu, lnsigma2, etc. the ilgtgamma is not significant. I would like to be confirmed if this is serious issue to the extent that the model may be dropped.
Results attached.
Thanks in advance
I am performing SFA based on distance functions with STATA. After more than several outputs, I realised that the sign or significance of the parameters may change depending on the order that inputs and outputs are introduced. This also applies for environmental variables in the inefficiency term, the mu may disappear, but if changing the order it comes back again. Is this a known problem, but not acknowledged? Also, how could I increase the number of iterations (likelihood) in STATA from the usual one (100) to maybe 300?I am currently using sfpanel package within STATA. Thank you in advance for your time
