Multi-national Industry Capacity in the North Sea Flatfish Fishery

Fisheries managers often see the management of regional fisheries as a more pertinent approach than managing separate national fleet units that exploit numerous fish stocks. This article considers an industry approach, using data envelopment analysis (DEA), to shed light on the exploitation of the North Sea flatfish fishery by a multi-national fleet, identifying overcapacity and possible reductions of the current fleet. The analysis estimates that the same catch could be taken with a fleet at 77% of its current size, and suggests an optimal reallocation of fixed inputs of each national fleet. Further insight is also given to surplus and optimal vessels in terms of catches and vessel characteristics. Simulations of the impact of possible quota reductions and restrictions of equal capacity reduction across nations are also considered.Data Envelopment Analysis, capacity output, industry allocation, multi-national fleet, C14, D24, Q22, Resource /Energy Economics and Policy,

Allocating the fixed cost:an approach based on data envelopment analysis and cooperative game

Allocating the fixed cost among a set of users in a fair way is an important issue both in management and economic research. Recently, Du et al. (Eur J Oper Res 235(1): 206–214, 2014) proposed a novel approach for allocating the fixed cost based on the game cross-efficiency method by taking the game relations among users in efficiency evaluation. This paper proves that the novel approach of Du et al. (Eur J Oper Res 235(1): 206–214, 2014) is equivalent to the efficiency maximization approach of Li et al. (Omega 41(1): 55–60, 2013), and may exist multiple optimal cost allocation plans. Taking into account the game relations in the allocation process, this paper proposes a cooperative game approach, and uses the nucleolus as a solution to the proposed cooperative game. The proposed approach in this paper is illustrated with a dataset from the prior literature and a real dataset of a steel and iron enterprise in China

Carbon emission abatement quota allocation in Chinese manufacturing industries:An integrated cooperative game data envelopment analysis approach

The Chinese government announced to cut its carbon emissions intensity by 60%–65% from its 2005 level. To realize the national abatement commitment, a rational allocation into its subunits (i.e. industries, provinces) is eagerly needed. Centralized allocation models can maximize the overall interests, but might cause implementation difficulty and fierce resistance from individual subunits. Based on this observation, this article will address the carbon emission abatement quota allocation problem from decentralized perspective, taking the competitive and cooperative relationships simultaneously into account. To this end, this article develops an integrated cooperative game data envelopment analysis (DEA) approach. We first investigate the relative efficiency evaluation by taking flexible carbon emission abatement allocation plans into account, and then define a super-additive characteristic function for developing a cooperative game among units. To calculate the nucleolus-based allocation plan, a practical computation procedure is developed based on the constraint generation mechanism. Further, we present a two-layer way to allocate the CO2 abatement quota into different sub-industries and further different provinces in Chinese manufacturing industries. The empirical results show that five sub-industries (Processing of petroleum, coking and processing of nuclear fuel; Smelting and pressing of ferrous metals; Manufacture of non-metallic mineral products; Manufacture of raw chemical materials and chemical product; Smelting and pressing of non-ferrous metals) and two provinces (Guangdong and Shandong) will be allocated more than 10% of the total national carbon emission abatement quota

Processes, information, and accounting gaps in the regulation of Argentina's private railways

Almost a decade after Argentina began privatizing its railways, resolution of conflicts between regulators, users, and operators continues to take longer, and to be more difficult, than expected. The authors contend that many of these conflicts arose because there are no rules for interactions between the key stakeholders: government, regulators, users, unions, and the media. One result of inexperience in setting up concession agreement has been that the agreements did not clearly define the information needed for oversight and regulation. Argentine rail concession contracts were supposed to be specific about the way tariffs, quality, investment, exclusivity, and so on, would change over time. And the newly created regulatory bodies were given some discretion about adjusting the contracts in the face of unforeseen developments. However, initial privatization were carried out in such a way that there was no time to refine terms, so many loopholes remained. Those unforeseen events have happened, and the regulatory agency, the National Commission for Transport Regulation (CNRT), has had to adapt its procedures and decisions to available information. In some cases, alleged modifications of the operating environment have led to renegotiations. Changes have been introduced in the approach to furnishing information to the government for oversight and regulatory accounting. The changes center on clearer definitions in connection with four major issues: a) The measurement of efficiency; b) access prices; and c) the financial model. Circumstances in the Argentine rail industry early in 2001 did not favor dramatic changes, but current renegotiations could be used to adjust information requirements to reflect what has been learned through six yearsof experience.Environmental Economics&Policies,Knowledge Economy,Labor Policies,Decentralization,Financial Intermediation,Environmental Economics&Policies,Financial Intermediation,Banks&Banking Reform,Education for the Knowledge Economy,Knowledge Economy

A Mathematical Approach for Technology Selection in the Presence of Slightly Non-homogeneous Technologies

The assumption of classical technology selection models is based on complete homogeneity of technologies. In spite of this assumption in many applications some technologies do not comprehensively consume common inputs to comprehensively supply common outputs. The objective of this paper is to propose a model for selecting slightly non-homogeneous technologies. A numerical example demonstrates the application of the proposed method

The Effects of Merger and Acquisition on the Price of Insurance and Firm Performance in the U.S. Property-Liability Insurance Industry

Although the economic motivation and efficiency effects of mergers and acquisitions (M & As) in the insurance industry have been discussed, none of the prior studies have addressed the relationship between M & A activity and insurance price change. In addition, little is known about the effect of diversification on the differences in insurance price across lines. The main objective of the dissertation is to provide evidence on these issues. A secondary objective is to investigate the relationship between M & A activity and insurer’s efficiency and financial performance. We also examine various firm characteristics that affect insurance price differences across lines and that influence insurer’s efficiency and performance. We conduct fixed effects model regressions to test our hypotheses using unbalanced panel data over the sample period 1989-2004. The empirical tests indicate that the price of insurance for newly formed insurers decreases following the M & As and diversified insurers charge lower prices than less diversified firms. Our result is consistent with one possible explanation that acquiring insurers reduce overall underwriting risks and more efficiently manage the frictional costs of capital through geographic and/or product line diversification by engaging in the M & As and therefore gain a competitive advantage in pricing. Our analysis also reveals a number of other interesting results. We find that insurance price is positively related to marginal capital allocation and inversely related to firm insolvency put value, suggesting the importance of incorporating insolvency risk and marginal capital costs in pricing lines of insurance business. We also find that the price of insurance is inversely related to cost efficiency, consistent with the efficiency structure hypothesis. However, the market share variable is not significant, implying that market power that can arise from M & A activity may not be a big concern for insurance regulators. In the analysis of efficiency and financial performance, we provide evidence that acquirers’ overall cost and revenue efficiency and financial performances decrease following M & As. We also find that more focused insurers outperform the diversified insurers

Assessing the Competitiveness of International Financial Services in Particular Locations: A Survey of Methods and Perspectives

The International Financial Services (IFS) industry is restructuring internally and by location. This paper outlines the economic forces and analytical methods that may be applied to examine the economic drivers of these processes as ever more cities, particularly in East Asia, are vying to attract IFS providers and their clients. The ICT revolution has made those IFS that can be commoditized footloose in search of cost efficiency. High value-added financial services, however, will continue to be developed and coordinated in a few major IFS centers that have invested in, or capitalized on, regional or global advantages for themselves and their clients. The resulting pattern of functional fragmentation and geographic dispersal may facilitate analyses of the competitiveness of different lines of the financial services business in a particular location by methods such as Data Envelopment and Stochastic Frontier Analysis. These forms of comparative efficiency analysis have recently been questioned and their results reinterpreted.offshore centers, international financial services, Data Envelopment Analysis, Stochastic Frontier Analysis

Fixed cost allocation based on the principle of efficiency invariance in two-stage systems

Fixed cost allocation among groups of entities is a prominent issue in numerous organisations. Addressing this issue has become one of the most important topics of the data envelopment analysis (DEA) methodology. In this study, we propose a fixed cost allocation approach for basic two-stage systems based on the principle of efficiency invariance and then extend it to general two-stage systems. Fixed cost allocation in cooperative and noncooperative scenarios are investigated to develop the related allocation plans for two-stage systems. The model of fixed cost allocation under the overall condition of efficiency invariance is first developed when the two stages have a cooperative relationship. Then, the model of fixed cost allocation under the divisional condition of efficiency invariance wherein the two stages have a noncooperative relationship is studied. Finally, the validation of the proposed approach is demonstrated by a real application of 24 nonlife insurance companies, in which a comparative analysis with other allocation approaches is included