Yes / So far, the dominant comparative studies of competing distress prediction models (DPMs) have been restricted to the use of static evaluation frameworks and as such overlooked their performance over time. This study fills this gap by proposing a Malmquist Data Envelopment Analysis (DEA)-based multi-period performance evaluation framework for assessing competing static and dynamic statistical DPMs and using it to address a variety of research questions. Our findings suggest that (1) dynamic models developed under duration-dependent frameworks outperform both dynamic models developed under duration-independent frameworks and static models; (2) models fed with financial accounting (FA), market variables (MV), and macroeconomic information (MI) features outperform those fed with either MVMI or FA, regardless of the frameworks under which they are developed; (3) shorter training horizons seem to enhance the aggregate performance of both static and dynamic models.

Ce travail contribue à la définition des mesures de l'efficacité et de la productivité dans la théorie microéconomique. Il présente des apports théoriques et empiriques. En premier lieu, cette thèse élabore une critique sur certaines mesures classiques de l’efficacité et de la productivité. Il est montré que la mesure directionnelle, sous l'hypothèse de rendements d'échelle constants, pose un certain nombre de problèmes quant à l’évaluation des variations de la productivité. De plus, il est établi que la « slacks-based » et la directionnelle « slack-based » mesures (ou mesures de Färe-Lovell) ne permettent pas de caractériser la technologie de production. Il résulte que ce type de mesure ne permet pas d’évaluer l'efficacité et les variations de productivité. Une approche alternative est proposée qui permet de contourner cette difficulté. Ensuite, cette thèse introduit deux nouveaux indicateurs: un indicateur social de Luenberger-Hicks-Moorsteen et un indicateur de productivité généralisé. Le premier permet d'évaluer l'effet des politiques sur les capabilités au sens d'A. Sen. Il consiste en une transposition des indicateurs de Hicks-Moorsteen en considérant le rôle spécifique d’un sous-vecteur prenant en compte les facteurs sociaux. Le second indicateur généralise les indicateurs standards de productivité. Il permet de retrouver à la fois les indicateurs de Luenberger et le Luenberger Hicks-Moortsteen comme cas spéciaux de cet indicateur généralisé. En considérant la version multiplicative de l’indicateur généralisé, on retrouve comme cas particuliers, les indicateurs de Malmquist et le Hicks-Moorsteen. Enfin, cette thèse présente des applications empiriques qui illustrent la méthodologie. Ces études évaluent et comparent la performance des régions touristiques et plus précisément celle du Languedoc-Roussillon, qui mobilise un cadre d'analyse transfrontalier. / This phd contributes to the definition of efficiency measures and productivity indicator, in the microeconomic theory. It presents theoretical and empirical contributions. Firstly, this phd develops a review on standard measures of efficiency and productivity. It is shown that the directional measure, under the assumption of constant returns to scale, raises some problems in the assessment of productivity changes. Moreover, it is established that the "slacks-based" and directional "slack-based" measures (or Färe-Lovell measures) do not allow to characterize technology. It follows that such measures do not allow to evaluate efficiency and productivity changes. An alternative approach is proposed which overcomes this difficulty. Then, this phd introduces two new indicators: a social Luenberger-Hicks-Moorsteen indicator and a generalized indicator of productivity. The first mesure the impact of publics policies in the line of the capability theory introduce by A. Sen. This indicator consists on a transposition of the Hicks-Moorsteen indicator by considering a sub-vector of social factors. The second indicator generalizes standards productivity indicators. It allows to find the Luenberger and the Luenberger Hicks-Moortsteen as special cases of this general indicator. Considering the multiplicative version of the generalized indicator, on can find the Malmquist and Hicks-Moorsteen indicators, as special cases. Finally, this phd presents some empirical applications to illustrate the methodology. These studies evaluate and compare the performance of the tourist destination, and specifically for the Languedoc-Roussillon, which involves a cross-border analysis framework

近年來，隨著經濟發展、國民所得提升，再加上政府政策的協助推廣，刺激了國內觀光旅遊市場之需求，造成業者競相投入此一產業。然而，在市場競爭日益激烈的環境下，國際觀光旅館的需求卻未明顯地成長，呈現出供過於求的狀態。面對這種情形，為求國際觀光旅館之永續經營與成長，惟有追求生產力的不斷提升。因此，國際觀光旅館生產力變動的情形值得做進一步地探討。本文以1997-2002年台灣國際觀光旅館之整合資料，首先利用Malmquist生產力指數衡量歷年生產力變動之情形；然後，以Bootstrap信賴區間法加以檢定，藉以瞭解Malmquist生產力指數是否有顯著成長或衰退的現象發生。由Malmquist生產力指數評估結果發現：就整個研究期間而言，生產力及效率皆略為提升；但生產技術則呈現微幅下降。此外，若進一步將國際觀光旅館區分為不同經營型態時，其結果顯示：整體期間連鎖經營型態之國際觀光旅館，不論是在生產力、技術或效率變動，皆優於非連鎖經營型態之國際觀光旅館。由Bootstrap信賴區間法之檢定結果發現：在利用Bootstrap信賴區間法檢定Malmquist生產力指數後，其結果可能截然不同。因此，單憑一個Malmquist生產力指數就輕易斷言生產力提升、不變或衰退，可能會發生誤判的情形。

Condensate blockage negatively impacts large natural gas condensate reservoirs all over the world; examples include Arun Field in Indonesia, Karachaganak Field in Kazakhstan, Cupiagua Field in Colombia,Shtokmanovskoye Field in Russian Barents Sea, and North Field in Qatar. The main focus of this thesis is to evaluate condensate blockage problems in the North Field, Qatar, and then propose solutions to increase well productivity in these gas condensate wells. The first step of the study involved gathering North Field reservoir data from previously published papers. A commercial simulator was then used to carry out numerical reservoir simulation of fluid flow in the North Field. Once an accurate model was obtained, the following three solutions to increasing productivity in the North Field are presented; namely wettability alteration, horizontal wells, and reduced Non Darcy flow. Results of this study show that wettability alteration can increase well productivity in the North Field by adding significant value to a single well. Horizontal wells can successfully increase well productivity in the North Field because they have a smaller pressure drawdown (compared to vertical wells). Horizontal wells delay condensate formation, and increase the well productivity index by reducing condensate blockage in the near wellbore region. Non Darcy flow effects were found to be negligible in multilateral wells due to a decrease in fluid velocity. Therefore, drilling multilateral wells decreases gas velocity around the wellbore, decreases Non Darcy flow effects to a negligible level, and increases well productivity in the North Field.

This thesis shows how the relative efficiency of automotive companies can be evaluated and how the changes in productivity of these companies by time can be observed. There are 17 companies in the analysis which are the main automotive manufacturers of Turkish automotive industry. A method called stepwise approach is used to determine the input and output factors. The two input variables used are the company&rsquo / s Payment for Raw Materials and Components and Payment for Wages and Insurances of Employees / the three output variables are Domestic Sales, Exports and Capacity Usage. The panel data that covers the time period between years 2001 and 2005 is obtained from OSD (Automotive Manufacturers Association). The efficiency analysis is performed according to basic Data Envelopment Analysis (DEA) models which are Charnes, Cooper and Rhodes (CCR) models and Banker, Charnes and Cooper (BCC) models. The software LINGO 10 is used for solving the linear programming models. After finding the overall efficiency, technical efficiency and scale efficiency of each company for each year, the changes in the efficiencies are analyzed by using Malmquist Total Factor Productivity (TFP) Index. The results are illustrated by the help of many tables and graphs for better understanding. When the results in tables and graphs are analyzed, the negative effect of 2001 economic crisis on automotive industry can be observed. Besides, it is seen that the efficiency changes by time show variance from company to company because they produce 7 types of vehicles and there are important differences between them such as production technology, market, demand, etc.

The NZ dairy industry has adopted an encompassing measure of performance, total factor productivity (TFP), as a target measure to guide on-farm improvements. Dairy farmers pay a levy in order to fund agricultural research and extension. Extension services and R&D will continue to be of critical importance to maintain and improve productivity at the farm level. Consequently, it is in the best interest of the dairy industry to adequately target R&D and extension funds and make the best use of resources. To date, the methodology employed to estimate productivity growth has some shortcomings that seriously hamper the ability of potential users to extract useful information from it. First, productivity growth has been reported as an aggregate for the entire dairy industry. Second, it makes no assumption about the efficiency with which resources are being used. Third, it implicitly assumes that all farms face the same technology. Productivity growth can be achieved either through better (more efficient) use of the technology applied, through the adoption of a new technology (technical progress) or a combination of both. Given that the sources of productivity change—technical progress and technical efficiency change—are fundamentally different phenomena, they are, in turn, influenced by different factors. This distinction is important for policy orientation because different instruments/tools may be required to address them. Furthermore, empirical evidence suggests that a variety of farming systems have emerged as a result of dairy farming geographical expansion. Farm-level panel data were used to estimate the Malmquist productivity change index. This index can provide additional insights since it can be decomposed into two additional components, one that measures changes in technical efficiency (i.e., whether firms are getting closer to the production frontier over time), and one that measures changes in technology (i.e., whether the production frontier is moving outwards over time). Hence, it provides individual (farm) estimates of TFP. Moreover, the methodology applied allows to test whether farms in the two regions considered in this study are operating under the sametechnology. These two regions were the long-established dairy areas of Waikato-Taranaki and the newly developed dairy areas of Canterbury-Southland. Results for farms in Waikato-Taranaki indicate that annual TFP change is modest, ranging from 0.29% per annum to 0.59% per annum. Most importantly, technical progress is the only source of TFP change in all four models. Therefore, it is necessary to encourage investments in new R&D targeted to remove the technological constraints that impede the realisation of further productivity gains in the regions. However, important differences in the estimates of TFP, technical progress and change in technical efficiency between models were found for farms in Canterbury-Southland. Estimates of TFP change ranged from 0.7% per annum to 2.8% per annum. Even though technical progress and change in technical efficiency contributed to total factor productivity growth (TFPG), the latter component was the most important contributor in three of the four models. Moreover, in two models the rate of technical progress was negative (i.e., technical regress). The analyses indicate that dairy farms in Canterbury-Southland were on average 10% more productive than farms in Waikato-Taranaki when farms in both regions faced the frontier. These results were consistent for all the input/output set chosen. Furthermore, the null hypothesis that the two regions do not face the same production technology (i.e., each region has it own production frontier) was accepted irrespective of the input/output set chosen. The rejection of the null hypothesis, that farms in traditional and non-traditional dairy regions were operating under the same underlying technology (and hence face the same production frontier), called for a review of the traditional approach to R&D in one central experimental station, strengthening the need for a local approach through the promotion of networks and synergies with universities and other research institutions.

The NZ dairy industry has adopted an encompassing measure of performance, total factor productivity (TFP), as a target measure to guide on-farm improvements. Dairy farmers pay a levy in order to fund agricultural research and extension. Extension services and R&D will continue to be of critical importance to maintain and improve productivity at the farm level. Consequently, it is in the best interest of the dairy industry to adequately target R&D and extension funds and make the best use of resources. To date, the methodology employed to estimate productivity growth has some shortcomings that seriously hamper the ability of potential users to extract useful information from it. First, productivity growth has been reported as an aggregate for the entire dairy industry. Second, it makes no assumption about the efficiency with which resources are being used. Third, it implicitly assumes that all farms face the same technology. Productivity growth can be achieved either through better (more efficient) use of the technology applied, through the adoption of a new technology (technical progress) or a combination of both. Given that the sources of productivity change—technical progress and technical efficiency change—are fundamentally different phenomena, they are, in turn, influenced by different factors. This distinction is important for policy orientation because different instruments/tools may be required to address them. Furthermore, empirical evidence suggests that a variety of farming systems have emerged as a result of dairy farming geographical expansion. Farm-level panel data were used to estimate the Malmquist productivity change index. This index can provide additional insights since it can be decomposed into two additional components, one that measures changes in technical efficiency (i.e., whether firms are getting closer to the production frontier over time), and one that measures changes in technology (i.e., whether the production frontier is moving outwards over time). Hence, it provides individual (farm) estimates of TFP. Moreover, the methodology applied allows to test whether farms in the two regions considered in this study are operating under the sametechnology. These two regions were the long-established dairy areas of Waikato-Taranaki and the newly developed dairy areas of Canterbury-Southland. Results for farms in Waikato-Taranaki indicate that annual TFP change is modest, ranging from 0.29% per annum to 0.59% per annum. Most importantly, technical progress is the only source of TFP change in all four models. Therefore, it is necessary to encourage investments in new R&D targeted to remove the technological constraints that impede the realisation of further productivity gains in the regions. However, important differences in the estimates of TFP, technical progress and change in technical efficiency between models were found for farms in Canterbury-Southland. Estimates of TFP change ranged from 0.7% per annum to 2.8% per annum. Even though technical progress and change in technical efficiency contributed to total factor productivity growth (TFPG), the latter component was the most important contributor in three of the four models. Moreover, in two models the rate of technical progress was negative (i.e., technical regress). The analyses indicate that dairy farms in Canterbury-Southland were on average 10% more productive than farms in Waikato-Taranaki when farms in both regions faced the frontier. These results were consistent for all the input/output set chosen. Furthermore, the null hypothesis that the two regions do not face the same production technology (i.e., each region has it own production frontier) was accepted irrespective of the input/output set chosen. The rejection of the null hypothesis, that farms in traditional and non-traditional dairy regions were operating under the same underlying technology (and hence face the same production frontier), called for a review of the traditional approach to R&D in one central experimental station, strengthening the need for a local approach through the promotion of networks and synergies with universities and other research institutions.

At first, the basics of microeconomics from the perspective of companies, effectiveness and methods of its measurement and the most important information on the distance function this thesis, are shown. It also contains the development of the Malmquist productivity index. The aim of this work is the description of this index and its components. Indicate how these values are calculated and what expressed. Secondary objectives are to introduce different variants of Malmquist indexes and their use. Four models are used for calculating individual components of the Malmquist productivity index. These are the DEA models, Aigner-Chu, Stochastic production frontiers and Stochastic activity analysis. The first three in this work are described in detail. In conclusion is an illustrative example of calculation Malmquist productivity index using DEA models. For the calculation I used the program Lingo.

Thesis (PhD (For))--Stellenbosch University, 2012. / ENGLISH ABSTRACT: A primary reason for the existence of the forest industry is to provide a renewable and natural resource for much needed timber and fibre products. Substantial improvements in management practices are required to increase forest volume and pulp yields for increased demand. Eucalyptus grandis clonal trees of age 6.75 years, grown in a Nelder 1a spacing experiment, were sampled and analysed to describe the effect of planting density on i) growth and yield, ii) wood properties and iii) pulp and paper quality. The main objective was to populate a fibre productivity index (FPI) which would be suitable from technical and economical perspectives. A material study was conducted on the wood and in addition, two methods were developed to further describe the variability of the forest resource to i) separate growth rings by means of wood density peaks from gamma-ray densitometry and ii) calibrate near infrared (NIR) prediction models. The results indicated that planting density did not influence the variability of wood density but mechanisms affecting available soil water are important. NIR prediction models were developed to rapidly and reliably assess wood properties on a non-destructive basis. The validation models for wood density, total pulp yield, kappa number and insoluble lignin returned high predictive ability. When applied to predict chemical properties from an independent data set, the outcomes were accurate in comparison with measured data. Growth and yield functions were developed for tree survival, dominant height and basal area. They accurately predicted outcomes as demonstrated by the goodness of fit and their logical behaviour tested over the range of planting densities. When the most extreme stand density treatments, 6809 and 275 trees per hectare (TPH) were evaluated for wood and fibre properties, the larger trees grown at 275 TPH, produced wood of better quality for pulp processing; basic wood density at 0.520 g cm–3 (21 % higher), fibre cell wall thickness at 2.10 μm (18.6 % thicker) and fibre lumen diameter at 8.16 μm (9.9 % lower) than for 6809 TPH. Intra-specific tree variability of wood and product properties increased from diameter at breast height (DBH) to 35 % and then decreased to 65 % of tree height. The effect of planting density was carried throughout the product value chain up to the paper manufacturing phase. Paper with higher bulk mass and thickness and more porous sheets is most likely to be made from lower planting densities (801 and 275 TPH), and stronger, smoother and denser paper is most likely to be made with trees at high planting densities (6809 or 2336 TPH). From the growth and yield and materials investigation, technical indicators identified to populate a fibre productivity index were: i) mean annual increment (MAI) as a forestry growth indicator, ii) wood density, summarising the composition of wood and, iii) pulp yield, the indicator of the amount of fibre processed through a chemical cooking process. Delivered cost of timber to the mill, was identified as the most suitable economic indicator which included fixed costs elements, variable costs and aspects of mill efficiency. The product of the technical and economic indicators concluded in a profit/loss scenario of producing 1 ton of pulp was deemed the best index to describe the entire and integrated value chain. This index, termed the Fibre Productivity Index (FPI) at the Mill, denoted as FPMill, is an integrated index that is easy to interpret in the realms of a forestry - pulp manufacturing, and can be used for differential pricing of timber for wood quality. / AFRIKAANSE OPSOMMING: 'n Primêre rede vir die bestaan van die bosbouindustrie is om ‘n hernubare, natuurlike hulpbron vir hout en vesel te voorsien. Aansienlike verbeterings in bestuurspraktyke is nodig om die houtvolume en pulpopbrengste vir die toename in aanvraag te verhoog. Eucalyptus grandis klonale bome met ‘n ouderdom van 6.75 jaar en wat in 'n Nelder 1a spasiëring eksperiment gegroei is, is versamel en ontleed om die effek van opstandsdigtheid te beskryf op a) groei en opbrengs, b) houteienskappe en c) pulp- en papiergehalte. Die hoofdoel was om 'n veselproduktiwiteitsindeks (FPI), wat geskik sou wees in terme van tegniese en ekonomiese perspektiewe, te ontwikkel. 'n Materiaalkundigestudie is op hout uitgevoer. Twee metodes is ontwikkel om die variasie in hout as natuurlike hulpbron te beskryf deur a) vroeëhout- en laathoutdigtheidspieke deur gammastraal-densitometrie van mekaar te skei en variasie in groeiringe te beskryf en b) daarstelling van naby-infrarooispektroskopiese (NIR) voorspellingsmodelle. Die resultate het aangedui dat aanplantingsdigtheid nie ‘n invloed het op die variasie van houtdigtheid nie, maar dat meganismes wat beskikbare grondwater bepaal, belangrik is. NIR-voorspellingsmodelle is ontwikkel om houteienskappe op 'n nie-destruktiewe manier betroubaar te kan evalueer. Die validasiemodelle vir houtdigtheid, pulpopbrengs, kappanommer en onoplosbare lignien, openbaar akkurate voorspellingsvermoë. Wanneer dit toegepas word om chemiese eienskappe van 'n onafhanklike datastel te voorspel, was die resultate akkuraat in vergelyking met gemete data. Groei- en opbrengsfunksies is ontwikkel vir mortaliteit, dominante boomhoogte en basale area. Akkurate voorspellingsuitkomste is verkry soos gedemonstreer deur die logiese gedrag wat getoets is vir alle plantdigthede. Toe die mees ekstreme opstansdigtheidbehandelings vir hul hout- en veseleienskappe geëvalueer is, was die hout van die groter bome, teen 275 stamme per hektaar (SPH), van beter gehalte. Dit was veral prominent vir houtdigtheid van 0.520 g cm-3 (21 % hoër), veselselwanddikte van 2.10 μm (18.6 % dikker) en vesellumendeursnit van 8.16 μm (9.9 % laer) as by die hoër (6809) SPH. Intra-spesifieke boomvariasie van hout- en produkeienskappe het toegeneem van deursnee op borshoogte (DBH) tot 35 % en dan weer afgeneem tot 65 % van die boomhoogte. Die effek van plantdigtheid is regdeur die produkwaardeketting tot by die papiervervaardigingstadium sigbaar. Papier met hoër basismassa en dikte, en meer poreuse papiervelle kan meer waarskynlik van laer aanplantdigtheid (801 en 275 TPH) bome gemaak kan word. Papier wat sterker, gladder en digter is, kan waarskynlik gemaak word van hout van bome teen hoë aanplantdigthede (6809 of 2336 SPH). Die veselproduktiwiteitindeks wat ontwikkel is uit die materiaalondersoek en tegniese aanwysers wat geïdentifiseer is sluit in i) gemiddelde jaarlikse aanwas, as 'n bosbou groei-indikator, ii) houtdigtheid, wat ‘n opsomming van die samestelling van hout is, en iii) pulpopbrengs; die aanduiding van die hoeveelheid vesel verwerk deur 'n chemiese verpulpingsproses. Gelewerde koste van hout by die pulpmeul is geïdentifiseer as die mees geskikte ekonomiese aanwyser wat vaste kosteelemente, veranderlike koste en aspekte van die meul se doeltreffendheid insluit. Die produk van die tegniese en ekonomiese aanwysers is saamgevat in 'n wins / verlies opsie vir die vervaardiging van 1 ton pulp, en is beskou as die mees geskikte indeks om die geïntegreerde waardeketting te beskryf. Dié indeks, die sogenaamde Vesel Produktiwiteitsindeks (VPI) by die Pulpmeul, aangedui as VPMeul, is 'n geïntegreerde indeks wat maklik is om te interpreteer in 'n bosbou - pulpvervaardigingsopset, en kan gebruik word in die differensiële prysbepaling van hout waarby die kwaliteit in ag geneem word.

近年來台灣筆記型電腦產業，在廠商延續過去多年的擴張競爭力下，在產值與產量上皆有大幅度的成長。但也由於低價風潮的盛行與全球景氣蕭條，使得該產業的獲利大不如從前；加重了國內廠商經營的困境與競爭程度，此時惟有掌握經營績效之廠商才可維持競爭優勢；以因應高度的競爭環境。在此同時，南韓已從金融風暴的創傷下逐漸走出；並挾帶著全球最大TFT-LCD及DRAM的量產國，並從輕薄型機種切入市場以及加入代工訂單的爭奪戰中。而日本擁有全球頂尖的設計創新能力，筆記型電腦自製率仍偏高。因此日、韓一直是台灣的主要競爭對手。 首先藉由資料包絡分析法評估我國筆記型電腦商於2000年至2003年間的經營效率；並為彌補DEA無法做跨時期的分析，應用Malmquist生產力指數予以分析；接著用Tobit迴歸分析來探討廠商無效率的原因。得到以下的結論： (1)於這4年間的技術效率平均值呈現年年上揚的情況，且規模較大的廠商不意謂著經營績效會較好。(2)這4年間的生產力亦是逐年提昇，主要是技術變動所致。(3)在Tobit迴歸分析中，存貨週轉率、總資產週轉率與品牌對效率有正向影響；而TCRI有負向影響。 接著對台、日、韓進行比較分析，得到以下結論：(1)台、日、韓三國的經營績效，以日本最優、韓其次、台最差；但日、韓的整體效率值逐年下滑，而台灣有逐漸改善的趨勢。(2)三國於2000~2001年間生產力皆下降，這與全球景氣蕭條及九一一事件有相當的關聯；2001~2002間由於無線上網的新技術致使消費性機種熱賣，因此於該期間，生產力呈提昇現象。(3)由Tobit迴歸分析得知存貨週轉率、總資產週轉率與經營年限對效率值有正向影響。 / In the recent years, Taiwanese Notebook manufacturers last the past years, extensions to make productive values and production grow up enormously. Due to the low price trend and global business trend stagnancy, resulting to profitability be not as good as the before for this industry. It deepens to operate and complete hard for the domestic manufacturers. At the same time, only the manufacturers that seizing operating the performance will maintain completing advantage to deal with highly completing enviornment. At the same time, South Korea has already got over from the shadow of 1998 crisis; and took along the most global productive country of TFT-LCD and DRAM; going into the market of frivolous type and join a battle of OEM/ODM orders. Japan owns global excellent design and capability of innovation and self-made ratio is still high. Therefore, Japan and South Korea are constantly Taiwanese major rivals. Firstly, it estimates how Taiwan Note Book manufacturers operate in 2000 to 2003 by Data Envelopment Analysis;In order to making up DEA not undertaking time-series analysis, using Malmquist Productivity Index to analyze; utilizing Tobit regression to analyze the factors that producers operate inefficiently. It gets the following conclusions:(1) In these four years, average technical efficiency is taken on rising year by year, and large scale producers do not imply better operating efficiency. (2) In these four years, the productivity is also rised year by year. This is due to technical change. (3) In Tobit regression analysis, there is a positive influence that inventory turnover, total asset turnover and brand affect efficiency; there is a negative influence that TCRI affects efficiency. This study gets the following conclusions;(1) For Taiwanese, Japanese and South Korea’ operating performance, Japan is the excellent, South Korea is the next, Taiwan is the worst. But Japanese and South Korea’ overall efficiency is worse year by year; Taiwan operating performance is gradually improved. (2) These three countries’ productivity decline from 2000 to 2001. It is concerned with global economic recession and 911 incident. The productivity is raised from 2001 to 2002. It results from WLAN type to sell briskly. Turnover ratio of inventory and turnover ratio of total asset tighter operating years all have a positive influence on efficiency.