379,556 research outputs found

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

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    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

    Endogenous growth and trade liberalization between asymmetric countries

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    The paper presents a general equilibrium model of endogenous growth and trade between two countries, an advanced country (A) and a backward country (B). The development stage is summarized by the level of knowledge stock accumulated through R&D investments. The latter generates technological progress that intermediate goods producing firms, operating under increasing returns to scale and monopolistic competition, perform to obtain process innovations (reduction of production costs) when they are incumbents, or product innovations if they are new entrants. The model shows that convergence in long-run growth rates can be obtained even in absence of international technology spillover, in which case, under the assumption of no variety overlap, the gain from trade will be only static. Dynamic effects will be delivered instead in presence of an initial overlap in the varieties produced in the two countries, together with a wide gap in unit production costs. In this case it is shown that the impact of trade liberalization on firms profits might generate a cumulative causation process which may lead to a polarization of innovative productions in the advanced country.endogenous growth; trade liberalization; scale effect.

    Lowland farming system inefficiency in Benin (West Africa):

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    This paper uses a directional distance function and a single truncated bootstrap approach to investigate inefficiency of lowland farming systems in the Benin Republic. First, we employed a dual approach to estimate and decompose short-run profit inefficiency of each farming system into pure technical, allocative and scale inefficiency and also into input and output inefficiency. Second, an econometric analysis of factors affecting the inefficiency was generated using a single truncated bootstrap procedure to improve inefficiency analysis statistically and obtain consistent estimates. In the short run, scale, allocative and output inefficiency were found to be the main sources of inefficiency. Based on inefficiency results, the inefficiency of lowland farming systems is the most diverse. Compared to a vegetable farming system, technical inefficiency is significantly higher if farmers switch to a rice farming system. Scale, allocative, output, and input inefficiency are significantly lower with an integrated ricevegetable farming system and there was high prevalence of increasing returns to scale in the integrated rice-vegetable farming system. Water control and lowland farming systems are complements and play a significant role in the level of inefficiency. Input inefficiency shows the difficulty that the producers face in adjusting the quality and quantity of seeds and fertilizers. The paper provides empirical support for efforts to promote an integrated rice-vegetable farming system in West Africa lowlands to increase food security. Keywords Lowlands . Inefficiency . Bootstrap . Beni

    Demutualization, outsider ownership and stock exchange performance - empirical evidence

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    Academic contributions on the demutualization of stock exchanges so far have been predominantly devoted to social welfare issues, whereas there is scarce empirical literature referring to the impact of a governance change on the exchange itself. While there is consensus that the case for demutualization is predominantly driven by the need to improve the exchange's competitiveness in a changing business environment, it remains unclear how different governance regimes actually affect stock exchange performance. Some authors propose that a public listing is the best suited governance arrangement to improve an exchange's competitiveness. By employing a panel data set of 28 stock exchanges for the years 1999-2003 we seek to shed light on this topic by comparing the efficiency and productivity of exchanges with differing governance arrangements. For this purpose we calculate in a first step individual efficiency and productivity values via DEA. In a second step we regress the derived values against variables that - amongst others - map the institutional arrangement of the exchanges in order to determine efficiency and productivity differences between (1) mutuals (2) demutualized but customer-owned exchanges and (3) publicly listed and thus at least partly outsider-owned exchanges. We find evidence that demutualized exchanges exhibit higher technical efficiency than mutuals. However, they perform relatively poor as far as productivity growth is concerned. Furthermore, we find no evidence that publicly listed exchanges possess higher efficiency and productivity values than demutualized exchanges with a customer-dominated structure. We conclude that the merits of outside ownership lie possibly in other areas such as solving conflicts of interest between too heterogeneous members

    Productivity drivers in European banking: Country effects, legal tradition and market dynamics

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    This paper analyses efficiency drivers of a representative sample of European banks by means of the two-stage procedure proposed by Simar and Wilson (2007). In the first stage, the technical efficiency of banks is estimated using DEA (data envelopment analysis) in order to establish which of them are most efficient. Their ranking is based on total productivity in the period 1993-2003. In the second stage, the Simar and Wilson (2007) procedure is used to bootstrap the DEA scores with a truncated bootstrapped regression. The policy implications of our findings are considered

    Technology Differentials and Production Efficiency in Cassava-Based Production in Ogun State, Nigeria

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    This study was undertaken to analyse technology differential and production efficiency of traditional and modern farms cassava farmers in Nigeria, using as a case study farmers in Ogun State, which is one of the highest producers of cassava in the south-west geo-political zone. It considered the different net incomes of various farm categories and the relative levels and possible causes of the technical inefficiency as well as the nature of returns to scale between traditional and modern, small and large scale, and between mono and mixed crops cassava farmers. Ogun State is divided into four agricultural zones namely: Ilaro zone, Abeokuta zone, Ikenne zone and Ijebu zone. Two cells were randomly selected from each block. Data were collected during the field survey from 400 cassava farmers, selected through a multi-stage selection process using systematic random sampling technique. The translog stochastic frontier production function was fitted on the data. This was done using the stochastic frontiers version 4.1. Results of the study showed that cassava-based food crop production in Ogun State is characteristically carried out on smallholders production basis with a few of the farmers cultivating more than three hectares. Budgetary Analysis result revealed that traditional and modern farms made net farm profits of about (N220,760.35 and N222,030.85). The estimated small and large farms’ net farm profits was about N213,174.87 and N247,737.57 respectively. Also, mono and mixed crop farm generated net farm income of about N293,132.48 and N294,556.96 per annum, respectively. The finding implied that the current level of output from cassava farms can be increased by about 38% for all farms (aggregate), if all farm inputs are effectively utilized. It is thus recommended that a well monitored credit policy be put in place to enable the farmers acquire the necessary production inputs to boost their output. It is also recommended that government should intensify efforts to encourage the small-holders to improve upon their production practices. Keywords: Technology, Efficiency, Differential, Budgetary, Stochasti

    Estimation of a dynamic discrete choice model of irreversible investment

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    In this paper we propose and estimate a dynamic structural model of fixed capital investment at the firm level. Our dataset consists of an unbalanced panel of Spanish manufacturing firms. Two important features are present in this dataset. There are periods in which firms decide not to invest and periods of large investment episodes. These empirical evidence of infrequent and lumpy investment provides evidence in favour of irreversibilities and nonconvex capital adjustment costs. We consider a dynamic discrete choice model of irreversible investment with a general specification of adjustment costs including convex and nonconvex components. We use a two stage estimation procedure. In a first stage, we obtain GMM estimates of technological parameters. In the second stage, we obtain partial maximum likelihood estimates for the adjustment cost parameters. The estimation strategy builds on the representation of conditional value functions as a computable function of conditional choice probabilities. It is in the line of structural estimation techniques which avoid the solution of the dynamic programming problem

    Business models and stock exchange performance : empirical evidence

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    In recent years stock exchanges have been increasingly diversifying their operations into related business areas such as derivatives trading, post-trading services and software sales. This trend can be observed most notably among profit-oriented trading venues. While the pursuit for diversification is likely to be driven by the attractiveness of these investment opportunities, it is yet an open question whether certain integration activities are also efficient, both from a social welfare and from the exchanges' perspective. Academic contributions so far analyzed different business models primarily from the social welfare perspective, whereas there is only little literature considering their impact on the exchange itself. By employing a panel data set of 28 stock exchanges for the years 1999-2003 we seek to shed light on this topic by comparing the factor productivity of exchanges with different business models. Our findings suggest three conclusions: (1) Integration activity comes at the cost of increased operational complexity which in some cases outweigh the potential synergies between related activities and therefore leads to technical inefficiencies and lower productivity growth. (2) We find no evidence that vertical integration is more efficient and productive than other business models. This finding could contribute to the ongoing discussion about the merits of vertical integration from a social welfare perspective. (3) The existence of a strong in-house IT-competence seems to be beneficial to overcome

    Disentangling the European airlines efficiency puzzle: a network data envelopment analysis approach

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    © 2015 Elsevier Ltd. In recent years the European airline industry has undergone critical restructuring. It has evolved from a highly regulated market predominantly operated by national airlines to a dynamic, liberalized industry where airline firms compete freely on prices, routes, and frequencies. Although several studies have analyzed performance issues for European airlines using a variety of efficiency measurement methods, virtually none of them has considered two-stage alternatives - not only in this particular European context but in the airline industry in general. We extend the aims of previous contributions by considering a network Data Envelopment Analysis (network DEA) approach which comprises two sub-technologies that can share part of the inputs. Results show that, in general, most of the inefficiencies are generated in the first stage of the analysis. However, when considering different types of carriers several differences emerge - most of the low-cost carriers' inefficiencies are confined to the first stage. Results also show a dynamic component, since performance differed across types of airlines during the decade 2000-2010
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