212 resultados para depreciation


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The present work is about a comparative study of two methodologies (MIALHE and ASABE), used to calculate the cost per hectare in the tillage operation in the culture of corn. The methodology of ASABE presents a higher cost per hectare in relation to the MIALHE proposal, being that the methodologies presents similar costs related to the depreciation expenses, accommodation and insurance. The differences were that in the ASABE proposal, the biggest expenses involved the payment of interest, fuel, lube and handwork, while in the MIALHE methodology, only the expense regarding to maintenance was more. The methodology of ASABE most suitable for management costs per hectare.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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After realizing two interviews, with distinct managers/businessmen working in the cotton industry, the objective is to put in evidence the political, economical and social factors that contributed to the formation and configuration of the Mato Grosso state, after the trade liberalization that occurred in the early 90's, it's effects and consequences in the eyes of the interviewed. The study of public policies is primordial to the discovery of the configuration of determined place, evaluating advances and possible errors in the social, economical and environmental areas. Through the analysis of the interviews it has been found that the urban centers have been developing with a direct link to the industrial activities related to agriculture and that the labor work force have also been attracted because of these changes, and as a consequence this labor force is now becoming more specialized to be able to accompany the jobs requirements in the industry. Analyzing the interviews, it is possible to highlight some information about the development of Mato Grosso, among those the following factors and public policies. The creation and expansion of the cities in the state are possible through public and private investment in infrastructure the socioeconomic development of the state is linked with the advances made in the private sector that grows because of advances made in crops technology in contrast to the occupation of the cerrado, in relation to the cotton crops. The problems that Mato Grosso is facing are mainly linked to the region infrastructure, that can count on investment plans to transportation and production flow that dates before the globalization era. The pattern that is seen today with top of the line agricultural production, big monoculture with high productivity and the arrival of multinational giants, was implanted because of two important events: the trade liberalization in the 1990's and the cambial depreciation in the 1999's...

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Given the current energy crisis experienced in our country with the lack of rain in some areas, the energy distributors were forced to resort to thermal power plants to complement their energy production; raising the cost of electricity generation, they have been forced to repass this value to the customers through the Tariff Flags. Concerned about a substantial increase in their electric bill, some consumers were forced to look for alternatives so that their results are not affected. The use of diesel generation at peak hours is a relatively simple and inexpensive alternative that has been widely used for several industrial, commercial and service customers. In this present work, we conducted a feasibility study of the use of diesel generators at peak hours in a medium-sized hospital, calculating the depreciation period for the investment through savings in electricity bills

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This extension circular is an income statement form that covers the following areas: Cash Farm Income (grain/hay sales, livestock sales, livestock product sales, government payments, custom work); Cash Farm Expenses (cash operating, breeding livestock purchases, gross cash farm expenses); Adjustment (inventory, machinery/equipment depreciation, fixed farm improvements depreciation, capital gain or loss on machinery/equipment, gross sales of machinery/equipment, real estate sold); and Non-Farm Income (operators's wage, wife's wage, interest/dividend income, gifts/inheritances, gain or loss on security, non-farm inventory change, net income on other farms owned and non-farm real estate).

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After realizing two interviews, with distinct managers/businessmen working in the cotton industry, the objective is to put in evidence the political, economical and social factors that contributed to the formation and configuration of the Mato Grosso state, after the trade liberalization that occurred in the early 90's, it's effects and consequences in the eyes of the interviewed. The study of public policies is primordial to the discovery of the configuration of determined place, evaluating advances and possible errors in the social, economical and environmental areas. Through the analysis of the interviews it has been found that the urban centers have been developing with a direct link to the industrial activities related to agriculture and that the labor work force have also been attracted because of these changes, and as a consequence this labor force is now becoming more specialized to be able to accompany the jobs requirements in the industry. Analyzing the interviews, it is possible to highlight some information about the development of Mato Grosso, among those the following factors and public policies. The creation and expansion of the cities in the state are possible through public and private investment in infrastructure the socioeconomic development of the state is linked with the advances made in the private sector that grows because of advances made in crops technology in contrast to the occupation of the cerrado, in relation to the cotton crops. The problems that Mato Grosso is facing are mainly linked to the region infrastructure, that can count on investment plans to transportation and production flow that dates before the globalization era. The pattern that is seen today with top of the line agricultural production, big monoculture with high productivity and the arrival of multinational giants, was implanted because of two important events: the trade liberalization in the 1990's and the cambial depreciation in the 1999's...

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Given the current energy crisis experienced in our country with the lack of rain in some areas, the energy distributors were forced to resort to thermal power plants to complement their energy production; raising the cost of electricity generation, they have been forced to repass this value to the customers through the Tariff Flags. Concerned about a substantial increase in their electric bill, some consumers were forced to look for alternatives so that their results are not affected. The use of diesel generation at peak hours is a relatively simple and inexpensive alternative that has been widely used for several industrial, commercial and service customers. In this present work, we conducted a feasibility study of the use of diesel generators at peak hours in a medium-sized hospital, calculating the depreciation period for the investment through savings in electricity bills

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Study IReal Wage Determination in the Swedish Engineering Industry This study uses the monopoly union model to examine the determination of real wages and in particular the effects of active labour market programmes (ALMPs) on real wages in the engineering industry. Quarterly data for the period 1970:1 to 1996:4 are used in a cointegration framework, utilising the Johansen's maximum likelihood procedure. On a basis of the Johansen (trace) test results, vector error correction (VEC) models are created in order to model the determination of real wages in the engineering industry. The estimation results support the presence of a long-run wage-raising effect to rises in the labour productivity, in the tax wedge, in the alternative real consumer wage and in real UI benefits. The estimation results also support the presence of a long-run wage-raising effect due to positive changes in the participation rates regarding ALMPs, relief jobs and labour market training. This could be interpreted as meaning that the possibility of being a participant in an ALMP increases the utility for workers of not being employed in the industry, which in turn could increase real wages in the industry in the long run. Finally, the estimation results show evidence of a long-run wage-reducing effect due to positive changes in the unemployment rate. Study IIIntersectoral Wage Linkages in Sweden The purpose of this study is to investigate whether the wage-setting in certain sectors of the Swedish economy affects the wage-setting in other sectors. The theoretical background is the Scandinavian model of inflation, which states that the wage-setting in the sectors exposed to international competition affects the wage-setting in the sheltered sectors of the economy. The Johansen maximum likelihood cointegration approach is applied to quarterly data on Swedish sector wages for the period 1980:1–2002:2. Different vector error correction (VEC) models are created, based on assumptions as to which sectors are exposed to international competition and which are not. The adaptability of wages between sectors is then tested by imposing restrictions on the estimated VEC models. Finally, Granger causality tests are performed in the different restricted/unrestricted VEC models to test for sector wage leadership. The empirical results indicate considerable adaptability in wages as between manufacturing, construction, the wholesale and retail trade, the central government sector and the municipalities and county councils sector. This is consistent with the assumptions of the Scandinavian model. Further, the empirical results indicate a low level of adaptability in wages as between the financial sector and manufacturing, and between the financial sector and the two public sectors. The Granger causality tests provide strong evidence for the presence of intersectoral wage causality, but no evidence of a wage-leading role in line with the assumptions of the Scandinavian model for any of the sectors. Study IIIWage and Price Determination in the Private Sector in Sweden The purpose of this study is to analyse wage and price determination in the private sector in Sweden during the period 1980–2003. The theoretical background is a variant of the “Imperfect competition model of inflation”, which assumes imperfect competition in the labour and product markets. According to the model wages and prices are determined as a result of a “battle of mark-ups” between trade unions and firms. The Johansen maximum likelihood cointegration approach is applied to quarterly Swedish data on consumer prices, import prices, private-sector nominal wages, private-sector labour productivity and the total unemployment rate for the period 1980:1–2003:3. The chosen cointegration rank of the estimated vector error correction (VEC) model is two. Thus, two cointegration relations are assumed: one for private-sector nominal wage determination and one for consumer price determination. The estimation results indicate that an increase of consumer prices by one per cent lifts private-sector nominal wages by 0.8 per cent. Furthermore, an increase of private-sector nominal wages by one per cent increases consumer prices by one per cent. An increase of one percentage point in the total unemployment rate reduces private-sector nominal wages by about 4.5 per cent. The long-run effects of private-sector labour productivity and import prices on consumer prices are about –1.2 and 0.3 per cent, respectively. The Rehnberg agreement during 1991–92 and the monetary policy shift in 1993 affected the determination of private-sector nominal wages, private-sector labour productivity, import prices and the total unemployment rate. The “offensive” devaluation of the Swedish krona by 16 per cent in 1982:4, and the start of a floating Swedish krona and the substantial depreciation of the krona at this time affected the determination of import prices.

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Asset Management (AM) is a set of procedures operable at the strategic-tacticaloperational level, for the management of the physical asset’s performance, associated risks and costs within its whole life-cycle. AM combines the engineering, managerial and informatics points of view. In addition to internal drivers, AM is driven by the demands of customers (social pull) and regulators (environmental mandates and economic considerations). AM can follow either a top-down or a bottom-up approach. Considering rehabilitation planning at the bottom-up level, the main issue would be to rehabilitate the right pipe at the right time with the right technique. Finding the right pipe may be possible and practicable, but determining the timeliness of the rehabilitation and the choice of the techniques adopted to rehabilitate is a bit abstruse. It is a truism that rehabilitating an asset too early is unwise, just as doing it late may have entailed extra expenses en route, in addition to the cost of the exercise of rehabilitation per se. One is confronted with a typical ‘Hamlet-isque dilemma’ – ‘to repair or not to repair’; or put in another way, ‘to replace or not to replace’. The decision in this case is governed by three factors, not necessarily interrelated – quality of customer service, costs and budget in the life cycle of the asset in question. The goal of replacement planning is to find the juncture in the asset’s life cycle where the cost of replacement is balanced by the rising maintenance costs and the declining level of service. System maintenance aims at improving performance and maintaining the asset in good working condition for as long as possible. Effective planning is used to target maintenance activities to meet these goals and minimize costly exigencies. The main objective of this dissertation is to develop a process-model for asset replacement planning. The aim of the model is to determine the optimal pipe replacement year by comparing, temporally, the annual operating and maintenance costs of the existing asset and the annuity of the investment in a new equivalent pipe, at the best market price. It is proposed that risk cost provide an appropriate framework to decide the balance between investment for replacing or operational expenditures for maintaining an asset. The model describes a practical approach to estimate when an asset should be replaced. A comprehensive list of criteria to be considered is outlined, the main criteria being a visà- vis between maintenance and replacement expenditures. The costs to maintain the assets should be described by a cost function related to the asset type, the risks to the safety of people and property owing to declining condition of asset, and the predicted frequency of failures. The cost functions reflect the condition of the existing asset at the time the decision to maintain or replace is taken: age, level of deterioration, risk of failure. The process model is applied in the wastewater network of Oslo, the capital city of Norway, and uses available real-world information to forecast life-cycle costs of maintenance and rehabilitation strategies and support infrastructure management decisions. The case study provides an insight into the various definitions of ‘asset lifetime’ – service life, economic life and physical life. The results recommend that one common value for lifetime should not be applied to the all the pipelines in the stock for investment planning in the long-term period; rather it would be wiser to define different values for different cohorts of pipelines to reduce the uncertainties associated with generalisations for simplification. It is envisaged that more criteria the municipality is able to include, to estimate maintenance costs for the existing assets, the more precise will the estimation of the expected service life be. The ability to include social costs enables to compute the asset life, not only based on its physical characterisation, but also on the sensitivity of network areas to social impact of failures. The type of economic analysis is very sensitive to model parameters that are difficult to determine accurately. The main value of this approach is the effort to demonstrate that it is possible to include, in decision-making, factors as the cost of the risk associated with a decline in level of performance, the level of this deterioration and the asset’s depreciation rate, without looking at age as the sole criterion for making decisions regarding replacements.

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We evaluate the profitability of investments in residential property in Germany after unification with a focus on the comparison of East and West Germany. Calculations are carried out for (1) the after-tax return an investor might have expected at the beginning of the 1990s, and (2) the after-tax return that has been realized ten years after. We compare a set of statistical data for investments in fifty major cities by using complete financial budgeting. The results show that tax subsidies could not always protect investors from losing money, but they have boosted realized returns after tax considerably. Therefore, it was indeed the taxpayers, not the investors, who have borne the cost of reconstructing East Germany.

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In the field of mergers and acquisitions, German and international tax law allow for several opportunities to step up a firm's assets, i.e., to revaluate the assets at fair market values. When a step-up is performed the taxpayer recognizes a taxable gain, but also obtains tax benefits in the form of higher future depreciation allowances associated with stepping up the tax base of the assets. This tax-planning problem is well known in taxation literature and can also be applied to firm valuation in the presence of taxation. However, the known models usually assume a perfect loss offset. If this assumption is abandoned, the depreciation allowances may lose value as they become tax effective at a later point in time, or even never if there are not enough cash flows to be offset against. This aspect is especiallyrelevant if future cash flows are assumed to be uncertain. This paper shows that a step-up may be disadvantageous or a firm overvalued if these aspects are not integrated into the basic calculus. Compared to the standard approach, assets should be stepped up only in a few cases and - under specific conditions - at a later point in time. Firm values may be considerably lower under imperfect loss offset.

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Financial, economic, and biological data collected from cow-calf producers who participated in the Illinois and Iowa Standardized Performance Analysis (SPA) programs were used in this study. Data used were collected for the 1996 through 1999 calendar years, with each herd within year representing one observation. This resulted in a final database of 225 observations (117 from Iowa and 108 from Illinois) from commercial herds with a range in size from 20 to 373 cows. Two analyses were conducted, one utilizing financial cost of production data, the other economic cost of production data. Each observation was analyzed as the difference from the mean for that given year. The independent variable utilized in both the financial and economic models as an indicator of profit was return to unpaid labor and management per cow (RLM). Used as dependent variables were the five factors that make up total annual cow cost: feed cost, operating cost, depreciation cost, capital charge, and hired labor, all on an annual cost per cow basis. In the economic analysis, family labor was also included. Production factors evaluated as dependent variables in both models were calf weight, calf price, cull weight, cull price, weaning percentage, and calving distribution. Herd size and investment were also analyzed. All financial factors analyzed were significantly correlated to RLM (P < .10) except cull weight, and cull price. All economic factors analyzed were significantly correlated to RLM (P < .10) except calf weight, cull weight and cull price. Results of the financial prediction equation indicate that there are eight measurements capable of explaining over 82 percent of the farm-to-farm variation in RLM. Feed cost is the overriding factor driving RLM in both the financial and economic stepwise regression analyses. In both analyses over 50 percent of the herd-to-herd variation in RLM could be explained by feed cost. Financial feed cost is correlated (P < .001) to operating cost, depreciation cost, and investment. Economic feed cost is correlated (P < .001) with investment and operating cost, as well as capital charge. Operating cost, depreciation, and capital charge were all negatively correlated (P < .10) to herd size, and positively correlated (P < .01) to feed cost in both analyses. Operating costs were positively correlated with capital charge and investment (P < .01) in both analyses. In the financial regression model, depreciation cost was the second critical factor explaining almost 9 percent of the herd-to-herd variation in RLM followed by operating cost (5 percent). Calf weight had a greater impact than calf price on RLM in both the financial and economic regression models. Calf weight was the fourth indicator of RLM in the financial model and was similar in magnitude to operating cost. Investment was not a significant variable in either regression model; however, it was highly correlated to a number of the significant cost variables including feed cost, depreciation cost, and operating cost (P < .001, financial; P < .10, economic). Cost factors were far more influential in driving RLM than production, reproduction, or producer controlled marketing factors. Of these cost factors, feed cost had by far the largest impact. As producers focus attention on factors that affect the profitability of the operation, feed cost is the most critical control point because it was responsible for over 50 percent of the herd-to-herd variation in profit.

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A 13-year summary of the Iowa State University Extension Service’s Beef Cow Business Record (BCBR) was compiled to show the trends in cost, profit, and production for beef-cow enterprises in Iowa. During these 13 years, 966 yearly records were summarized on herds with an average size of 74.6 cows. Each year-end summary sorts the producers with profits in the top and the bottom thirds of the group so that differences can be analyzed. The average cost to maintain a beef cow from 1982 to 1994 was $370.80. Cost components included in this average total were: feed and pasture, $177.10; operating, $45.40; depreciation, taxes, and insurance, $19.70; labor, $44.90; and capital, $83.70. Producers sorted into the top one-third profit group had 13-year average total cow costs of $309.80, but the bottom onethird profit group averaged $437.10. Economic returns per cow for these same 13 years were: return to capital, labor, and management, $139.50; return to labor and management, $56.20; and net profit, $20.20. Top-profit producers had an average net profit of $126.20 per cow, whereas the least profitable group had an average loss of $107.40. Of this $233.60 difference, $127.30 was due to production cost, and the remaining $106.30 was caused by gross return differences. The average number of pounds of beef produced per cow from 1984 through 1994 was 567. This production was achieved with 2.5 acres of pasture, 3.9 acres of cornstalk grazing, and 4,675 pounds of stored feed per cow unit. Top-profit producers used 673 pounds of stored feed per hundredweight of production, but the least profitable producers used 1,015 pounds. Top-profit producers produced 74 pounds more per cow while using 1,313 pounds less stored feed.

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PURPOSE To evaluate and compare the costs of MRI-guided and CT-guided cervical nerve root infiltration for the minimally invasive treatment of radicular neck pain. MATERIALS AND METHODS Between September 2009 and April 2012, 22 patients (9 men, 13 women; mean age: 48.2 years) underwent MRI-guided (1.0 Tesla, Panorama HFO, Philips) single-site periradicular cervical nerve root infiltration with 40 mg triamcinolone acetonide. A further 64 patients (34 men, 30 women; mean age: 50.3 years) were treated under CT fluoroscopic guidance (Somatom Definition 64, Siemens). The mean overall costs were calculated as the sum of the prorated costs of equipment use (purchase, depreciation, maintenance, and energy costs), personnel costs and expenditure for disposables that were identified for MRI- and CT-guided procedures. Additionally, the cost of ultrasound guidance was calculated. RESULTS The mean intervention time was 24.9 min. (range: 12 - 36 min.) for MRI-guided infiltration and 19.7 min. (range: 5 - 54 min.) for CT-guided infiltration. The average total costs per patient were EUR 240 for MRI-guided interventions and EUR 124 for CT-guided interventions. These were (MRI/CT guidance) EUR 150/60 for equipment use, EUR 46/40 for personnel, and EUR 44/25 for disposables. The mean overall cost of ultrasound guidance was EUR 76. CONCLUSION Cervical nerve root infiltration using MRI guidance is still about twice as expensive as infiltration using CT guidance. However, since it does not involve radiation exposure for patients and personnel, MRI-guided nerve root infiltration may become a promising alternative to the CT-guided procedure, especially since a further price decrease is expected for MRI devices and MR-compatible disposables. In contrast, ultrasound remains the less expensive method for nerve root infiltration guidance.