The Impacts of Airport Centrality in the EU Network and Inter- Airport Competition on Airport Efficiency

In this paper we study the relationship between airport efficiency and two factors: an airport’s centrality in the EU network, and the intensity of competition from alternative airports in the same catchment area. We apply a two-stage econometric model based on the Simar & Wilson (2007) bootstrap procedure to a balanced sample of 57 European airports. We also design and compute our own measures of airport centrality and competition. The results show that efficiency is positively related to centrality in the European network, as measured by a weighted sum of minimal paths passing through the airport in question. The intensity of competition between airports also has a positive effect on efficiency. Our analysis suggests that air transportation policies should focus on increasing competition within important catchment areas (e.g., by investing in infrastructure facilitating access to alternative airports) and enhancing the connectivity of the EU network (e.g., by subsidizing new point-to-point connections between airports with capacity to spare).air transportation, efficiency, network centrality, inter – airports competition.

A linear relational DEA model to evaluate two-stage processes with shared inputs

Two-stage data envelopment analysis (DEA) efficiency models identify the efficient frontier of a two-stage production process. In some two-stage processes, the inputs to the first stage are shared by the second stage, known as shared inputs. This paper proposes a new relational linear DEA model for dealing with measuring the efficiency score of two-stage processes with shared inputs under constant returns-to-scale assumption. Two case studies of banking industry and university operations are taken as two examples to illustrate the potential applications of the proposed approach

Optimal path selection of innovation resource allocation in China’s regions with shared inputs

As an effective form of interaction between innovation subjects and resources, the regional innovation network’s optimal allocation of resources is the key to improving national innovation capacity. According to the innovation value chain, the process of resource allocation in innovation can be divided into two correlative sub-systems: the knowledge innovation stage (KIS) and the achievements commercialisation stage (ACS). To evaluate regional innovation efficiency, a two-stage network data envelopment analysis model with shared inputs is used, with fuzzy set qualitative comparative analysis to analyse the improvement path of resource allocation efficiency from the dimensions of regional environment and network structure. The results show that efficiency in the KIS is higher than in the ACS, and the efficiency scores for most regions in China are better under the model with shared inputs. The efficiency of innovative resource allocation is affected by the cross-action of seven factors: regional economic development, infrastructure, policy system, social culture, network scale, network openness, and network centrality. To achieve highefficiency resource allocation, regions should build an innovation network that matches their environmental characteristics. These findings provide theoretical guidance for formulating innovative resource allocation policies suitable for different regions

Assessment of the efficiency of spanish football teams through profiling

The aim of this paper is to assess the efficiency of Spanish football teams that participated in the Spanish First Division between 2011 and 2016. We started by specifying the production function of football teams using the production process as a basis. Considering all the moves that can be made during a match, ordering them in the logical sequence that usually links them together and considering ball possession and non-possession as different phases lead to disaggregating the match into eight subdivisions whose efficiency is calculated using the data envelopment analysis (DEA) variant known as profiling. The representative input and output variables considered in these eight subdivisions are moves made during the matches. However, the actions football teams perform, irrespective of their type, are not the result of a standardised procedure. This has two consequences on the number of moves in the field of play: firstly, a minimal variation in playing conditions (both the team's and its opponent's) can alter the number; and, secondly, it is very difficult to control and arrive at a figure possibly established in advance. Since these circumstances can be interpreted as data imprecision, one of the stochastic DEA proposals has also been used in this paper as a calculation tool to verify the robustness of the results. The results show the subdivisions in which the use of moves can be improved to increase the number of actions in the next stage. This knowledge could provide guidance for technical personnel for their training sessions

The Chinese position as a global player in international comparison with the WTO members: Efficiency analysis and 4IR

During the last quarter-century, globalisation processes affected changes in the world economy in the form of intensifying competition in the international and internal markets. The result is the creation of a global marketplace that is mostly indifferent to national borders and governmental influences. This development has generated widespread interest in competitiveness. Competitiveness affects international relations, especially nowadays, given the changing position of the global leaders and the growth of new economic powers such as China. China has come a long way and has the opportunity to be a global leader in several required fields that will be the cornerstones of global growth in the next decades. Led by China, emerging economies are increasing their share in the worldwide economy and intensifying competition in nearly all sectors. It creates new threats and challenges for players in the global economy, and growing competitiveness must be efficient. The article evaluates the Chinese competitiveness in comparison with the World Trade Organization members by the Data Envelopment Analysis in the pre-in-post crisis period and considering the Fourth Industrial Revolution shifting humanity into a new phase.Web of Science6148

Productivity Growth in Network Models:An Application to Banking During the Financial Crisis

We construct Malmquist Productivity indices for two-stage processes. A two-stage data envelopment analysis model with an additive efficiency decomposition is used for the modeling of the two-stage process. We incorporate prior information into the analysis using the Weight Assurance Region model. This model offers advantages such as the weights representing the contribution of each stage to the overall process are always positive and we also can restrict them into a region given the available prior information. We extend this model from efficiency analysis to productivity analysis and we calculate Malmquist Productivity indices using four alternative decomposition approaches. The model is applied to a panel of banks in Central and Eastern European countries and productivity change is evaluated for three periods of the financial crisis. The alternative decompositions allow us to examine the various sources of productivity change during the financial crisis. Convergence patterns are also examined

Efficiency, Conflicting Goals and Trade-Offs: A Nonparametric Analysis of the Water and Wastewater Service Industry in Italy

This paper presents a benchmarking study of the water and wastewater industry in Italy. A three-stage modeling approach was implemented to measure the efficiency of 53 utility operators. This approach is based on the implementation of network and conventional data envelopment analysis (DEA) to model the production process of the water service utility operators. In comparison to the conventional black-box or one-stage production model generally adopted in previous studies, the proposed approach provides information relative to the different efficiency components of the stages and blocks of the water service production process and its overall efficiency. Further, by shifting the efficiency analysis to a two-dimensional performance space, i.e., resource and market-efficiency, it offers a more comprehensive view of the water service industry and allows accounting for different business goals at the same time and for an investigation of industry trade-offs. Results show that the operators’ efficiencies in the Italian water service industry are generally variable and low. There are no water service utilities which are 100% efficient from the resource-efficiency perspective, and the maximum efficiency score is 0.545. Efficiency measurements suggest that there is a general orientation of the Italian water industry to not invest in upgrading and improving the infrastructure assets, and achieving an acceptable efficiency in the operations is critical to delivering water services to market in an efficient way. Only one utility operator is 100% efficient from the market-efficiency perspective. The low tariffs adopted by the water service operators do not allow the gaining of satisfactory service remuneration and the achievement of long-term business sustainability. The joint analysis of the resource and market efficiency scores indicates that there is a trade-off between the corresponding business goals

Efficiency Predictions by Fuzzy Piecewise Auto-regression in Dynamic Network System

Workshop 2015 -Advances in DEA Theory and Applications (December 1-2, 2015)Since efficiency prediction can help managers to monitor future performance and detect potential failures, it is important for production and operation management. Data envelopment analysis is comprehensively applied to evaluate the relative performance in various areas. However, only few studies try to forecast the relative performance estimated by data envelopment analysis. We propose a performance forecasting model that integrates the multi-activity dynamic network data envelopment analysis and fuzzy piecewise auto-regression. The proposed approach constructs a dynamic performance measurement with the network structure to calculate the catching-up efficiency index. The catching-up efficiency index is further decomposed into the technical efficiency change and dynamic efficiency change to capture the effect of carry-over items. The fuzzy piecewise auto-regression is applied to regress the possibility and necessity estimation models by catching-up efficiency index for forecasting efficiency. In this paper, a data from banks in Taiwan from 2006 to 2012 are applied. The results indicate that the proposed approach has highly accuracy rate.The workshop is supported by JSPS (Japan Society for the Promotion of Science), Grant-in-Aid for Scientific Research (B), #25282090, titled “Studies in Theory and Applications of DEA for Forecasting Purpose.本研究はJSPS科研費 基盤研究(B) 25282090の助成を受けたものです

DECENTRALIZATION AND EFFIENCY IN SPANISH LOCAL GOVERMENT

This study analyzes the links between efficiency and the decentralization of competencies among Spanish local governments for years 1995 and 2000. The aim is pursued by considering a two-stage activity analysis model in which the performance of eachmunicipality is first evaluated against other municipalities with a similar level of competencies and, in a second stage, it is compared with that of other municipalities for which decentralization remains at a more preliminary stage. The model also considers an index aimed at measuring whether tendencies towards higher (or lower) benefits from decentralization might exist over time. Results suggest that some municipalities could manage their resources more efficiently if bestowed on more competencies. Although this sort of decentralization economies do not emerge for all municipalities, their magnitude clearly overshadows the diseconomies found if downscaling of decision making went too far and least decentralized municipalities were conferred on more competencies. In addition, the likely efficiency gains from enhanceddecentralization increase over time. El objetivo de este trabajo es analizar los vínculos entre eficiencia y descentralización de competencias para los ayuntamientos españoles durante los años 1995 y 2000. Para ello, se considera un modelo de análisis de la actividad en dos etapas en el que, en primer lugar, la eficiencia de cada municipio se evalúa frente a la de otros municipios con un mismo nivel de competencias y, en una segunda etapa, se compara con el de aquellos municipios para los cuales la descentralización de competencias permanece en un nivel inferior. El modelo también considera un índice que mide si hay tendencias hacia mayor -o menor- beneficios de la descentralización a lo largo del tiempo. Los resultados indican que algunos municipios podrían gestionar sus recursos más eficientemente de tener un mayor nivel de competencias. Aunqueeste tipo de economías de descentralización no existen para todos los municipios, su magnitud es superior a la magnitud de las deseconomías que se dan para otros municipios. Asimismo, lasganancias de eficiencia obtenidas de una hipotética descentralización aumentan con el tiempo.Análisis de la actividad, descentralización, eficiencia, gobierno local Activity analysis, decentralization, efficiency, local government

The global airline industry: an assessment of the impact of low-cost carriers on the technical efficiency of full-service airlines

Since the emergence of the first low-fare airline, Southwest Airlines, we have witnessed the spread of the low-cost phenomenon in different regions of the world. The simplicity, the low fares and the focus on core business (flying) have been the critical basis for their success, and the concern of traditional operators who see their market positioning threatened. To remain competitive, full-service operators have been forced to redefine their business model. With great interest in the innovative nature of low-cost carriers, literature has covered inter-business model comparisons of efficiency, as well as on the analysis of the strategies carried out by full-service to adapting to the increased competition. However, there seems to be no study on the impact of low-cost operators on the technical efficiency of full-service airlines. Thus, this thesis aims to analyse the impact of the low-cost regional market share on the technical efficiency of full-service airlines domiciled in the same region. In order to pursue this analysis, a two-stage Data Envelopment Analysis was implemented. Initially, bootstrapped efficiency scores were estimated for a set of 137 passenger airlines. Subsequently, the estimated efficiency measures were used as a dependent variable in a truncated bootstrap regression to identify the determinants of the technical efficiency. Results suggest that larger low-cost market shares are associated with lower input uses for the same full-service carriers’ output levels based on that region. This relationship might be explained by the adoption of better management practices that approach the full-service model to the low-cost model.A criação da primeira companhia aérea de baixo-custo, a "Southwest Airlines", impulsionou o desenvolvimento mundial de tantas outras no sector da aviação. A simplicidade, os preços baixos e o foco no principal objetivo da atividade (voar) têm sido a chave do seu sucesso e, simultaneamente, uma ameaça às companhias aéreas tradicionais. Inevitavelmente, os operadores de serviço-completo têm vindo a realizar mudanças no seu modelo de negócio para conseguirem manter-se competitivas. Recentemente, alguns estudos têm-se focado na comparação entre os dois modelos de negócio e na análise das estratégias das transportadoras tradicionais ao aumento concorrencial. No entanto, parece não existir qualquer investigação acerca do impacto dos operadores de baixo-custo na eficiência técnica dos tradicionais. Assim, este estudo foca-se na relação entre a quota de mercado regional das transportadoras de baixo-custo e a eficiência técnica das companhias aéreas tradicionais sediadas nessa região. Para prosseguir esta investigação, foi implementada uma Análise por Envoltória de Dados de duas etapas. Inicialmente, foram estimadas as pontuações de eficiência técnica com métodos de "bootstrap" para 137 transportadoras de passageiros e, posteriormente, as pontuações foram usadas como variável dependente numa regressão "bootstrapped" truncada para identificar as fontes de eficiência. Os resultados sugerem que uma maior concentração de operadores de baixo-custo numa dada região está associada a uma menor utilização de recursos, por parte dos operadores tradicionais dessa região, para o mesmo nível de produção. Esta relação poderá ser explicada por práticas de gestão mais adequadas que aproximam o modelo tradicional do modelo de baixo-custo