Regional dimensions of factor and fuel substitution in U.S. manufacturing

This paper analyzes the regional responses to price increases in U.S. manufacturing in the form of fuel and factor substitution. A translog specification of a production process with eight inputs organized into a two stage optimization process — optimizing the mix of four fuels that constitute the energy input and then optimizing the input mix of physical capital, working capital, labor and aggregate energy — is used. Sectoral and regional variations in factor and fuel substitutions as evident from econometric estimation of the model at the level of 50 states and four census regions are discussed and interpreted.     

Development of environmentally extended social accounting matrices for policy analysis in Alberta

This paper outlines the development of inputs to an integrated land use and transportation model based on a series of environmentally extended social accounting matrices (SAMs) for the Canadian province of Alberta. A novel form of industry disaggregation is employed, based on aggregate iterative proportion and a unique formulation of location quotients. Social accounts are extended via the inclusion of detailed household consumption broken down by income quintiles. The SAMs are developed from supply-use matrices. Physical flow accounts are framed as derived demands, acting as necessary inputs to the production of downstream goods and services. Applications to regional economic modeling are considered, as planning authorities increasingly seek to model the environmental impacts of policy. The SAMs are then applied to the assessment of two technology change scenarios: a shift in the provincial electricity generation mix and a transition to a fully electric private automobile fleet.     

Learning-by-doing and the sources of productivity growth: A dynamic model with application to U.S. agriculture

The significance of learning to productivity growth is formulated within a dynamic adjustment-cost framework. Explicitly treating the acquisition of knowledge as a firm-specific capital good entering the production function along with other conventional inputs, the dynamic optimization model integrates the learning-by-doing hypothesis with technical change, scale, and disequilibrium input use effects in the aggregate productivity analysis. The theoretical framework is applied to examining the dynamic components accounting for the growth of U.S. production agriculture over the 1950–82 period. The results imply a less important role for technical change and assign a substantial role to the previously unmeasured contribution of learning-by-doing to the growth of aggregate agriculture industry.The editor for this paper was Melvyn Fuss.     

The specification and estimation of interrelated factor demands under uncertainty

This paper studies a model of the firm's interrelated demands for the factors of production incorporating exogenous variables with uncertain future values, multiple quasi-fixed factors, depreciation in use, and non-symmetric internal costs of adjustment. The inputs considered are production labor, non-production workers, capital, inventories of non-finished goods, and capacity and non-production worker utilization rates. A simultaneous system of factor demand equations with constraints is estimated and using U.S. manufacturing data. The model is shown to be tractable under certain assumptions. The results are encouraging given the complexity and the nature of the model.     

Business Services as a Production Factor

Based on the assumption that business services are influential production factors, an empirical analysis of the relation between business service inputs and production output in user sectors is carried out. Danish data from 52 manufacturing and service sectors covering the period 1970-95 are applied in the analysis. A sectoral dimension is introduced by dividing the 52 sectors into eight sectoral groupings and then allowing the slopes of the different variables included in the model to vary between the eight groups. The empirical analysis offers some support to the assumption that business services can have an effect comparable to traditional production factors, although this only applies to service sectors, and, partly, to low-knowledge manufacturing.     

Money and production: A stochastic frontier approach

Considerable controversy surrounds the role of money in the production of goods and services. Previous empirical research has appeared to find that the real money stock affects aggregate output, holding other, more conventional inputs constant. However, the theoretical literature offers no convincing explanation for this empirical finding. One interpretation is that real money balances reduce the extent to which labor and capital are diverted into exchange-related activities instead of being used in production defined in a more narrow sense. To investigate this hypothesis, we estimate a production function augmented with real money balances as an input, using time-series data for the aggregate U.S. economy. A stochastic production frontier is then estimated without real money balances. We use these estimates to establish the presence of technical inefficiency. Finally, we show that the extent of technical inefficiency is negatively correlated with the real money stock. Our results provide a reconciliation between the empirical literature, which finds that real money balances affect output in a production function framework, and the theoretical literature, which suggests that real money balances enhance the technical efficiency of the economy.     

Barriers to capital accumulation in a model of technology adoption and schooling

Standard growth models require large differences in barriers to capital accumulation to reproduce the observed disparities in the wealth of nations. I introduce technology adoption and schooling decisions into a standard growth model and show that the required differences in barriers implied by this model are much smaller. In particular, a calibrated version of the model implies per capita income differences 3 times larger than a standard model. Per capita income differences are amplified by two reinforcing factors: schooling capital differences and aggregate total factor productivity differences. The results suggest caution in the role of factor inputs derived from standard development accounting exercises. A development policy that subsidizes education is not optimal in the presence of barriers to capital accumulation, removing barriers can replicate educational outcomes and generate higher income levels by several orders of magnitude.     

Impact of Carbon Dioxide Emissions Reduction on the Austrian Economy

A linked econometric input–output (IO) model of the Austrian economy with an energy block is used in this study to assess the sectoral effects of carbon dioxide emissions reduction. The energy block and the other commodities are linked by a partitioned IO model. Energy demand is described using aggregate energy demand equations, by activities and subdemand systems of the translog type for different fuel types. The conversion of energy is modelled using an IO model of the energy sector. Measures for carbon dioxide reduction from detailed expert studies are introduced in the energy model and in the econometric model. The primary impacts are on energy demand, fuel shares and investment in new energy technologies. The simulation results of the partitioned IO model show different impacts on gross output, GDP and employment.     

Quest for appropriate overcapacity in the fisheries industry

The effective management of natural resources is a critical issue that concerns many people with differing interests. This paper examines aspects of overcapacity and optimal capacity within fisheries by accounting for multiple objectives. Overcapacity arises when a fishing fleet is capable of producing more than what is demanded at the industry level, or allowed by a regulatory framework. The presence of multiple objectives within fisheries management is most often an unavoidable reality, where the objectives determine what level of overcapacity is considered optimal. A two-stage model is suggested that can produce information for management in terms of tradeoffs, policy frontiers, objective values and optimal fleet structure. In the first stage, an output-based Data Envelopment Analysis (DEA) model is applied. Efficiency is evaluated and production units transformed such that they use technologically efficient inputs and produce at their full potential. In the second stage, these transformed units are included in an aggregate industry model formulated as a multi-objective optimization program. The model provides information for managers in terms of tradeoffs, policy frontiers, objective values, and optimal fleet structure (by generating Pareto optimal solutions). The proposed model has then been applied to the Danish commercial fishing fleet.     

Patent activity and technical change

As creations of the mind, intellectual property includes industrial property and copyrights. This paper presents an aggregate production function of the generalized Fechner–Thurstone (GFT) form to analyze the impact of an important component of intellectual industrial property, namely patent activity, on technical change in the USA for the period 1947–1981. Patents should alter isoquant maps, and measuring their elasticities is both intuitively and empirically appealing. We define a technology-changer as a variable that has an impact on the elasticity of the marginal rate of technical substitution (MRTS) between inputs of the GFT production function over time. Various types of US patent grant activity, specifically total, domestic, foreign, successful and unsuccessful patent applications, are used as instruments for the technology-changer. Using the GFT specification, the impacts of various technology-changers on the elasticity of the MRTS between inputs are estimated directly. It is found that granted (or successful) patents, patents granted to foreign companies and individuals, total patent applications, and even unsuccessful patent applications, have significant impacts on the rates at which inputs are substituted for each other over time in production.     

Taxation and Economic Growth

A bstract The effects of vorious tax policies on economic growth are recx amined on the basis of the recently developed endogenous growth therory The assertion of Henry George that the structure of taxation is more important than the level of taxation in explaining economic growth is elaborated and verified Annual data for Taiwan from 1954 to 1986 shows that the aggregate tax rate does not have significant effect on the long run growth rates of private ouptup, consumption and production factor inputs This result is due to the poostivie effect of consumption taxation offsetting the negative effect of factor taxation on economic growth     

A generalized lot sizing model for the process cycling problem

Most scheduling/lot sizing models for the single-machine problem assume that aggregate demand equals aggregate production; and that backorders are to be avoided. Where working inventories are low, the scheduler may wish to avoid short production runs and willingly incur some backorder penalties so as to increase the length of production runs and reduce setup costs per unit of time. The model proposed here identifies optimal lot sizes with respect to the backorder/setup cost relationships. Use of the model will result in an optimally balanced inventory even when aggregate inventory levels are changing.     

Productivity change in a multisectoral economic system

We estimate productivity growth without recourse to data on factor input shares or prices. In the proposed model, the economy is represented by the Leontief input–output model, which is extended by the constraints of primary inputs. A Luenberger productivity indicator is proposed to estimate productivity change; this is then decomposed in a way that enables us to examine the contributions of individual production factors and individual commodities to productivity change. The results allow for the identification of inputs or outputs that are the drivers of the overall productivity change. Their contributions are then decomposed into efficiency change and technical change components. Using input–output tables of the US economy for the period 1977–2006, we show that technical progress has been the main source of productivity change. Technical progress was mostly driven by capital, whereas low-skilled labour contributed negatively.     

The Role of Symmetry between the Revenue and the Expenditure Side of the Government Budget in the Debate about the Potential Negative Effects of Tax Competition

The effects of capital tax competition are reconsidered in this paper incorporating the argument that the expenditure structure of public budget should reflect its revenue structure. The paper offers a small open economy model where capital and labour tax revenues are used exclusively on the provision of public inputs. It is shown that if the revenue side of the government budget exactly matches the expenditure side that is if industrial public goods are financed by both private production factors with the weights reflecting the contributions of public inputs to the private factor productivity then public inputs are provided optimally even in the presence of tax competition.     

A Non-parametric Estimation of Productivity with Idiosyncratic and Aggregate Shocks: The Role of Research and Development (R&D) and Corporate Tax

We develop a non-parametric technique framework for estimating firm-level Total Factor Productivity (TFP). Our paper has two major novelties: first, we propose a modelling of productivity with both firm-idiosyncratic factors and aggregate shocks. Second, we apply the Bayesian Markov Chain Monte Carlo (MCMC) technique that offers a numerical integration of productivity outside the posterior overcoming the restrictive assumptions about the relationship between productivity and variable production inputs. We implement our methodology in a group of 4,286 manufacturing firms from France, Germany, Italy, and the UK (2001–14). The results show that: (i) aggregate shocks matter for firm TFP evolution. The global financial crisis of 2008 caused severe, albeit short, adverse effects on TFP; (ii) there is substantial heterogeneity across countries in the way firms react to changes in R&D and taxation. German and UK firms are more sensitive to fiscal changes than R&D, while the opposite is true for Italian firms. R&D and taxation effects are symmetrical for French firms; (iii) the UK productivity handicap continues for years after the financial crisis; and (iv) there are substantial knowledge spillovers among German and Italian firms.     

Aggregate nursing requirement planning in a public health care delivery system.

In this paper, we present an aggregate nursing requirement planning model for inpatient services to provide inputs for preparing yearly budgets in a public health care delivery system. A forecasting system using autoregressive integrated moving average time-series models forms the basis of project demands for nursing hours by medical specialities. These projections along with the institutional constraints and patient care requirements are all incorporated in a linear programming model for assessing needs for permanent staff, overtime pay and contracting temporary help—by medical service, nursing skill level and time period (month). We also expand the model to evaluate the sizing of a pool of float nurses. The model is developed within the framework of routine managerial planning process of the system under study (vis-à vis, the data base and the organizational structure). Historical data are used to estimate input parameters for the model. The staffing needs generated from the model for 1978 are compared with the actual system performance.     

Costly external finance,reallocation, and aggregate productivity

Empirical studies document that resource reallocation across production units plays an important role in accounting for aggregate productivity growth in the US manufacturing. Financial market frictions could distort the reallocation process and hence may hinder aggregate productivity growth. This paper studies the quantitative impact of costly external finance on aggregate productivity through resource reallocation across firms with idiosyncratic productivity shocks. A partial equilibrium model calibrated to the US manufacturing data shows that costly external finance causes inefficient output reallocation from high productivity firms to low productivity firms and as a result leads to a 1 percent loss in aggregate TFP.     

Introducing Environmental Variables in Nonparametric Frontier Models: a Probabilistic Approach

This paper proposes a general formulation of a nonparametric frontier model introducing external environmental factors that might influence the production process but are neither inputs nor outputs under the control of the producer. A representation is proposed in terms of a probabilistic model which defines the data generating process. Our approach extends the basic ideas from Cazals et al. (2002) to the full multivariate case. We introduce the concepts of conditional efficiency measure and of conditional efficiency measure of order-m. Afterwards we suggest a practical way for computing the nonparametric estimators. Finally, a simple methodology to investigate the influence of these external factors on the production process is proposed. Numerical illustrations through some simulated examples and through a real data set on Mutual Funds show the usefulness of the approach.JEL Classification: C13, C14, D20     

The relative importance of campaign expenditures: An application of production theory

In an election campaign a politician attempts to combine the resources at his disposal so as to maximize the percent of the votes he receives. This behavior is consistent with an economic model of production where the producer combines inputs in order to maximize output. In this paper the concept of an election campaign as a production process is applied to elections to the U.S. House of Representatives. The three inputs were campaign expenditures, years of tenure in office, and the percent of registered voters in candidate's party. Cobb-Douglas and CES versions of the production function are estimated. Each estimation indicated that the marginal productivity of campaign expenditures was very low. Further, the CES estimation indicated low elasticity of substitution between campaign expenditures and other inputs. This means that it is difficult for a candidate who faces a disadvantage—either because his opponent is an incumbent with several years experience, or because he belongs to a minority party—to overcome this disadvantage by simply spending more money.     

Selecting Sites for New Facilities Using Data Envelopment Analysis

This paper develops a mathematical programming model for obtaining a best set of sites for planned facilities. The model is concerned with those situations where resource constraints are present. The specific setting for the paper involves the selection of sites for a set of retail outlets, wherein the ratio of aggregate outputs to inputs for the selected set is maximal among all possible sets that could be chosen. At the same time, the model guarantees that the only sets of stores allowable are those for which the available resources are used to the maximum extent possible.