Estimating the Potential Gains from Mergers: The Danish Agricultural Extension Services

We introduce simple non-parametric models to estimate the potential gains from merging production units. Three effects are distinguished. A merger may affect technical efficiency. It also affects the size of the operation which may or may not be advantageous depending on the return to scale properties of the underlying technologies. Lastly, it affects the mix of inputs available and the mix of outputs demanded. A merged unit face more "balanced" or "harmonic" input and output profiles which is typically advantageous. We use the model to estimate the potential gains from merging agricultural extension offices in Denmark.Teaching/Communication/Extension/Profession,

Estimating the Potential Gains from Mergers

We introduce simple production economic models to estimate the potential gains from mergers. We decompose the gains into technical efficiency, size (scale) and harmony (mix) gains, and we discuss alternative ways to capture these gains. We propose to approximate the production processes using the non-parametric Data Envelopment Analysis (DEA) approach, and we use the resulting operational approach to estimate the potential gains from merging agricultural extension offices in Denmark. Contents: 1. Introduction, 2. Literature, 3. Production Models, 4. Measures of Merger Gains, 5. Decomposing Merger Gains, 6. Alternative Decompositions, 7. The Danish Agricultural Extension Services, 8. Final Remarks, References. Key Words: Data Envelopment Analysis, management, organization, mergersData Envelopment Analysis, management, organization, mergers, Teaching/Communication/Extension/Profession,

Chief executive pay in UK higher education: the role of university performance

open accessRemuneration for chief executives in UK higher education—known as Vice Chancellors (VCs)—has been on an upward trend in recent years, and VCs have received criticism that their performance does not warrant such reward. We investigate the relationship between VC pay and performance (rooted in principal agent theory), taking into account an array of other possible determinants. Deriving measures of VC performance is difficult as VCs are agents for various principals, and each principal may be interested in a different aspect of performance. We consider three measures of VC performance here: managerial efficiency as measured by data envelopment analysis; performance in university rankings produced by the media; the financial stability of the university. We construct a comprehensive data set, covering academic years 2009/2010 to 2016/2017, a period of considerable change in the UK higher education sector including rapidly-rising undergraduate tuition fees. Our results show that, once other possible determinants of VC pay are taken into account, the main measure of performance which affects VC pay is the one based on media rankings. Thus the agents (VCs) appear to be rewarded for delivering against this performance benchmark which is likely to be of interest to a variety of principals. This result however varies by type of university suggesting that the labour market for VCs differs by mission group

Pre-Evaluating Efficiency Analysis of Mergers and Acquisitions of Full-Service Carriers in Korea

In November 2020, Korean Air signs an agreement to acquire and merges with 63.88% of Asiana Airlines’ shares, which is conditionally approved by the Korea Fair Trade Commission to address exclusivity concerns. The conditions require both airlines to return certain take-off or landing positions and revise their licenses for 26 international and 8 domestic routes within 10 years. This paper collects passenger traffic data from 2009 to 2019 using Korean data analysis, retrieval, and transfer systems employed by both airlines. Data envelopment analysis is utilized to assess their performance assuming the merger and acquisition. The analysis reveals that Korean Air’s super-efficiency performance in 2011 is the highest among all decision making units (DMUs). The best super-efficiency performance is achieved not only by individual companies but also by the combined enterprise in 2019

Modelling generalized firms' restructuring using inverse DEA

The key consideration for firms’ restructuring is improving their operational efficiencies. Market conditions often offer opportunities or generate threats that can be handled by restructuring scenarios through consolidation, to create synergy, or through split, to create reverse synergy. A generalized restructuring refers to a move in a business market where a homogeneous set of firms, a set of pre-restructuring decision making units (DMUs), proceed with a restructuring to produce a new set of post-restructuring entities in the same market to realize efficiency targets. This paper aims to develop a novel inverse Data Envelopment Analysis based methodology, called GInvDEA (Generalized Inverse DEA), for modeling the generalized restructuring. Moreover, the paper suggests a linear programming model that allows determining the lowest performance levels, measured by efficiency that can be achieved through a given generalized restructuring. An application in banking operations illustrates the theory developed in the paper

Mergers and acquisitions matching for performance improvement: a DEA-based approach

This article proposes a new data envelopment analysis (DEA)-based approach to deal with mergers and acquisitions (M&As) matching. To derive reliable matching degrees between bidder and target firms, we consider both technical efficiency and scale efficiency. Specifically, an inverse DEA model is developed for measuring the technical efficiency, while a conventional DEA model is employed to identify the return of scale of the merged decision-making units (DMUs). Then, an optimization model is formulated to generate matching results to improve DMUs’ performance. An empirical study of M&As matching Turkish energy firms is examined to illustrate the proposed approach. This study shows that both technical efficiency and scale efficiency have impacts on M&As matching practices

Deregulation and environmental differentiation in the electric utility industry.

This paper analyzes how economic deregulation impacts firm strategies and environmental quality in the electric utility industry. We find evidence that the deregulation introduced to this historically staid industry has stimulated environmental differentiation. Differentiation is most likely to appear where its point of uniqueness is valued by customers, and we confirm this relationship in our sample. Specifically, utilities that served customers who exhibited higher levels of environmental sensitivity generated more green power. The tendency for firms to differentiate in this way is lessened if they are relatively more dependent on coal-fired generation or relatively more efficient. Thus, there is evidence that firms sort themselves into either differentiation or low-cost strategies as the competitive realities of a deregulated world unfold. Deregulation and the ensuing environmental differentiation illustrate how utilities exploited formerly unmet customer demand for green power. The result has been greater levels of renewable generation and, hence, a cleaner environment.Deregulation; Environmental differentiation; Electric utility; Renewable energy; Productive efficiency;

Estimation of potential gains from bank mergers:a novel two-stage cost efficiency DEA model

This paper develops a novel two-stage cost efficiency model to estimate and decompose the potential gains from Mergers and Acquisitions (M&As). In this model, a merged DMU is defined as a combination of two or more candidate DMUs. The merged DMU would surpass the traditional Production Possibility Set (PPS). In order to solve the problem, a Merger Production Possibility Set (PPSM) is constructed. The model minimizes the total cost of the merged DMU while maintaining its outputs at the current level, estimates the overall merger efficiency by comparing its minimal total cost with its actual cost. Moreover, the overall merger efficiency could be decomposed into technical efficiency, harmony efficiency and scale efficiency. We show that the model can be extended to a two-stage structure and these efficiencies can be decomposed to both sub-systems. To show the usefulness of the proposed approach, we applied it to a real dataset of top 20 most competitive Chinese City Commercial Banks (CCBs). We concluded that (1) There exist considerably potential gains for the proposed merged banks. (2) It is also shown that the main impact on potential merger gains are from technical and harmony efficiency. (3) As an interesting result we found that the scale effect works against the merger, indicating that it is not favorable for a full-scale merger