Allocative Efficiency of Technically Inefficient Production Units

We discuss how to measure allocative efficiency without presuming technical efficiency. This is relevant when it is easier to introduce reallocations than improvements of technical efficiency. We compare the approach to the traditional one of assuming technical efficiency before measuring allocative efficiency. In particular, we develop necessary and sufficient conditions on the technology to ensure consistent measures and we give dual organizational interpretations of the approaches.technical efficiency, allocative efficiency, homethetic technologies, slack consumption, Research and Development/Tech Change/Emerging Technologies,

Quota Trading and Profitability: Theoretical Models and Applications to Danish Fisheries

Using Data Envelopment Analysis (DEA), we provide a framework to analyze the potential gains from quota trading. We compare the industry profit and structure before and after a free trade reallocation of production quotas. The effects of tradable production quotas depend on several technological and behavioral characteristics, including the ability to learn best practice (catch-up) and the ability to change the input and output composition (mix). To illustrate the usefulness of our approach, we analyze a dataset from the Danish fishery. We study the industry profit and structure under each of four sets of technological and behavioral characteristics.Data Envelopment Analysis (DEA), Individual Transferable Quotas (ITQ), reallocation, technical efficiency, allocative efficiency, fishery, Agribusiness, C61, L51, Q22, Q28,

The Directional Profit Efficiency Measure: On Why Profit Inefficiency is either Technical or Allocative

The directional distance function has been introduced in the efficiency literature with the intention of relaxing the fixed orientations represented by its classical input and output counterparts. However, the criteria underlying the choice of its associated directional vector are numerous. When market prices are observed and firms have a profit maximizing behavior, it seems natural to choose as directional vector that projecting inefficient firms towards profit maximizing benchmarks. Based on that choice of directional vector, we introduce the profit efficiency measure and show that, in this general setting, profit inefficiency can be categorized as either technical -for firms situating in the interior of the technology- or allocative -for firms lying on the frontier. We implement and illustrate the analytical model by way of Data Envelopment Analysis techniques, where the profit maximizing benchmark may not be unique, and introduce the necessary optimizing program for profit inefficiency measurement.Directional Distance Function; Profit Efficiency; Technical Efficiency; Allocative Efficiency; Data Envelopment Analysis.

How to properly decompose economic efficiency using technical and allocative criteria with non-homothetic DEA technologies

We discuss how to properly decompose economic efficiency when the underlying technology is non-homothetic using alternative allocative and technical efficiency criteria. We first show that only under the production of one output and assuming the particular case of constant returns to scale homotheticity, we may claim that the standard radial models correctly measure pure technical efficiency. Otherwise, when non-homotheticity is assumed, we then show that these traditional estimations would measure an undetermined mix of technical and allocative efficiency. To restore a consistent measure of technical efficiency in the non-homothetic case we introduce a new methodology that takes as reference for the economic efficiency decomposition the preservation of the allocative efficiency of firms producing in the interior of the technology. This builds upon the so-called reversed approach recently introduced by Bogetoft et al. (2006) that allows estimating allocative efficiency without presuming that technical efficiency has been already accomplished. We illustrate our methodology within the Data Envelopment Analysis framework adopting the most simple nonhomothetic BCC model and a numerical example. We show that there are significant differences in the allocative and technical efficiency scores depending on the approac

The flexible reverse approach for decomposing economic inefficiency:With an application to Taiwanese banks

Profit inefficiency is conventionally decomposed into two mutually exclusive components representing profit loss due to technical inefficiency, and, through duality theory, a residual interpreted as allocative inefficiency. Although conventional models solve technical inefficiencies by reducing inputs and increasing outputs, achieving profit efficiency may require larger than observed input quantities and/or smaller than observed output quantities. However, overcoming the restrictions in the direction of the technical adjustments in input and output quantities demands flexibility that existing models do not offer. Thus, to achieve this flexibility, we introduce an endogenous profit inefficiency measure that reverses the subordinate role played by allocative inefficiency. The new measure is based on a monetized version of the weighted additive model seeking maximum feasible profit gains without restricting inputs and output adjustments. This prevents the conflicting prescriptions that the conventional model may offer in the form of non-monotonic input and output changes, thereby reducing adjustment costs. We apply the proposed model to real data from financial institutions. The differences in the managerial and policy recommendations for optimal resource allocation are relevant, with the conventional model wrongly recommending reductions in inputs in terms of the amounts and scale required to maximize profit.</p

Strategies to Sustain Public Private Partnership: A Lebanese Agency Case Study

Four public private partnerships have been created in Lebanon to fulfill the promises of better public value and accelerated economic development for sustainable business development. The problem is some business owners embark on public private partnership projects without following known documented strategies that ensure business sustainability. The purpose of the single case study was to explore the strategies business owners used to sustain public private partnership businesses in Lebanon. The conceptual framework included the theory of X-efficiency and the new public management model. The Northern Lebanon public private partnership was chosen for the study. All 7 business owners participated through interviews for data collection. The emergent themes from the interviews were compared and contrasted across participants\u27 responses and were cross referenced with the academic literature and printed agency reports. Data interpretations were triangulated through member checking. The business owners identified 7 specific strategies to monitor the agency\u27s work. The top 3 strategies were proper selection of partners, the need for a strong technical director, and hiring of professional staff. Three additional strategies noted were the articulation of a clear mission and vision, followed by the development of bylaws and the identification of international best practices. Holding monthly partners\u27 meetings to discuss emerging needs was the last strategy identified for consistent follow up and forward movement of the businesses. The findings over time could promote social change in Lebanon by revealing how municipalities can partner with the private sector and nongovernment organizations to reduce poverty, create jobs, and ensure local economic development

Allocative Efficiency of Technically Inefficient Production Units

We discuss how to measure allocative efficiency without presuming technical efficiency. This is relevant when it is easier to introduce reallocations than improvements of technical efficiency. We compare the approach to the traditional one of assuming technical efficiency before measuring allocative efficiency. In particular, we develop necessary and sufficient conditions on the technology to ensure consistent measures and we give dual organizational interpretations of the approaches