Economies of scale in the Australian tourism industry

The measurement of economies of scale in the tourism industry has not been done to this point, as tourism is not a specific industry according to international statistical standards. Among many industries related to tourism, four sectors (accommodation, transport, retail trade and recreational services) across six states and two territories from 1997 to 2007 are studied as they contribute nearly 70% of tourism output in Australia. By comparing regression results from the Cobb–Douglas (C–D) production function and the translog production function, we find that there is evidence of increasing returns in transport, retail trade and recreational services at the industry level. However, accommodation is characterized by constant returns to scale at the industry level. As accommodation is responsible for the biggest share of tourism output, this suggests that overall the tourism sector is not characterized by increasing returns. We also find that the degrees of returns to scale from the C–D and translog production functions are different and that the imposition of input share also influences the empirical results. Both of these factors stress the importance of model specification to the measurement of economies of scale.     

Estimating Scale and Scope Economies with Fourier Flexible Functional Form – Evidence from Taiwan's Banking Industry

In this study the scale and scope economies for Taiwan's banking sector using panel data from 22 domestic banks for the period 1981–1997 is investigated quantitatively using both a Fourier flexible functional form, first proposed by Gallant (1981, 1982), and a translog function. This study's results favour the use of the former, based on tests of regression coefficients and on estimates of various economy measures. The Fourier evidence shows that only smaller banks exhibit increasing returns to scale, while larger banks exhibit decreasing returns to scale. Conversely, the translog indicates that all the sample groups continue to enjoy economies of scale. Banks in Taiwan exhibit scope diseconomies, which suggest that sample banks should continue efforts to diversify their financial products, which in turn could substantially reduce their average costs.     

The CES‐‐Translog Production Function, Returns to Scale and AES

The translog functional form imposes no a priori restrictions on the substitution possibilities between the factor inputs, by relaxing the assumption of strong separability, and the CES–translog cost function specification allows for testing homothetic technology with Hicks‐neutral technical change. In this paper an n ‐factor CES–translog production function is presented which develops the parameters to directly assess scale effects from those due to technology in the production structure. In addition, by applying Shephard's lemma it was possible to derive the input demand functions, as well as the partial elasticities of substitution and the cross‐partial price elasticities of demand for a generalized CES–translog production structure.     

Do Technological Conditions of Production Explain Industrial Growth? The Indian Manufacturing, 1998–1999 to 2007–2008

The paper tries to assess whether the technological conditions of production can explain the sluggishness in growth in Indian manufacturing industries reflected in a stagnant share in aggregate GDP. For this purpose, the returns to scale and elasticity of factor substitution are estimated for various two-digit manufacturing industries of India for the years 1998–1999 to 2007–2008 using the translog production function specification. Most of the previous research of this kind was undertaken by using either aggregate level time-series or state-wise aggregate cross-section data. The recent availability of factory (plant) level panel data has motivated us to re-estimate the parameters of the production function for the Indian manufacturing using factory-level data. Our results clearly indicate presence of significant scale economies. We observe that the capital-labour elasticity of substitution varies across industries, being a little above one or less than one in nearly half of the cases. A multiple regression analysis has been undertaken with the help of industry-level panel data for the years 1998–1999 to 2007–2008 to find out if the manufacturing growth rate is conditioned by the parameters of the production function. Our results indicate that production function parameters do exert an important influence on the rate of growth.

     

Estimating Krugman’s Economic Geography Model for the Spanish Regions

This paper estimates Krugman’s (J Polit Econ 99:413–499, 1991) economic geography model using data from the Spanish NUTS 3 regions. The econometric formalization endogenously determines wages in a region as a function of income and wages in other regions. The specification adopted also allows us to study the relation between the agglomeration of economic activity, increasing returns and market access. The first result obtained is that the Spanish economy exhibits a spatial wage structure: wages in a region are positively determined by income and wages in neighboring regions. In second place it is found support for the structural relations of the underlying theoretical model, indicating the importance of scale economies and transport costs in shaping the Spanish economic geography.     

Size and Foreign Ownership Effects on Productivity and Efficiency: An Analysis of Turkish Motor Vehicle and Parts Plants

The levels and interactions of foreign connections and size may be important determinants of plant productivity and efficiency, particularly in a developing country such as Turkey. We explore the productive contributions of foreign ownership (FDI), emphasizing its linkages with plant size and input composition, for plants in the Turkish motor vehicle and parts industry. We evaluate the implications of FDI for overall productivity, input-specific contributions, and returns to scale, using OLS, stochastic production frontier, and quantile (size-specific) regression estimates of a translog production function model. We find significantly higher productivity of plants with foreign ownership, driven by a higher marginal product of labor, particularly for smaller plants. This effect augments the productive contributions of technical progress, capital intensity, and increasing returns to scale. FDI is also associated with a greater productive contribution of imported capital investment.     

Reducing urban public transport costs by tendering lots: a panel data estimation

Allotment is, for urban authorities, a governance strategy to reduce public transport costs. It consists of dividing a network into several lots, so as to multiply the number of calls for tender. On the one hand, gains should be obtained by increasing competition for the market and reducing the costs of obtaining accurate information. On the other hand, cutting a network into several parts is also expected to have negative consequences on production costs, in terms of lower returns to scale. Many industry stakeholders believe that the latter element more than compensates for the former. In this article, we estimate a translog cost function with a panel of 141 French urban public transport networks. Our main conclusion is that scale economies are exhausted for a production of about 3 million vehicle-kilometres per year. Therefore, as far as returns to scale are concerned, allotment would reduce the costs of public transport services for the main cities of our sample. A second dividend for allotment is then presented and implies that the assumed trade-off between returns to scale and increased competition is irrelevant.     

Estimation of scale and scope economies in multiproduct banking: evidence from the Fourier flexible functional form with panel data

An empirical study is conducted on scale and scope economies for Taiwan's banking industry with panel data using a Fourier flexible cost function developed by Gallant and a translog cost function, both of which take economic efficiency into account. It is found that the Fourier form is more appropriate than the traditional translog form in fitting the data, and that various efficiency measures computed using the Fourier function are compatible with each other, while those computed using the translog function are not. The Fourier evidence shows that sample banks continue to enjoy economies of scale, and exhibit scope diseconomies, which indicates that greater product diversification can reduce banking costs through product-mix economies. Banks may benefit from further diversifying their line of financial services.     

Cost Structure and Capacity Utilisation in Multi-product Industries: An Application to the Basque Trawl Industry

To empirically study production structure and the capacity level at which vessels are harvesting, a short-run translog cost function is estimated. From the estimated parameters, two capacity utilisation measures are calculated (ray returns to scale and a dual capacity utilisation measure). Both capacity utilisation measures suggest that there is excess capacity in the Basque trawler fleet. These measures are also estimated annually and they indicate the same conclusion. The Basque trawler fleet can therefore gain from increased production levels.     

Returns to scale and externalities in the consumption and investment sectors

Using data on US manufacturing, I estimate internal returns to scale and external effects for the consumption and investment sectors. I construct panels of data at the industry level and use results of gross output production function estimation to derive implied estimates in a value added specification. For the investment sector, returns to scale appear to be slightly increasing, with evidence of a positive external effect. For consumption, the evidence indicates decreasing to constant returns to scale. I discuss the implications of these results for the empirical plausibility of indeterminacy in recent multi-sector models of the business cycle.     

Non-uniformity of job-matching in a transition economy – A nonparametric analysis for the Czech Republic

This study explores the properties and development of the matching technology in the Czech Republic during the transition to a market economy. Nonparametric additive modelling allows us to assess flexible functional forms, which comprise for instance CES and trans-log specifications. This enables us to evaluate the matching process locally for each combination of unemployment and vacancies rather than being restricted to global coefficients. Special interest is devoted to analysis and economic determinants of regional variation in the returns to scale of the matching function. Non-linearities are found in the partial adjustment process of unemployment outflows, and a negative coefficient on vacancies in some years. Moreover, increasing returns to scale in job-matching are found locally. Returns to scale are found to be negatively correlated to the share in employment in services and to outmigration, positively correlated to the employment share in industry, the unemployment rate and various measures of active labour market policies.     

The impact of mechanized processing of cassava on farmers’ production efficiency in Uganda

The study investigates the impact of adopting mechanized processing of cassava on farmers’ production efficiency in Uganda. A stochastic production function, using translog functional form, was used to compare efficiency measures of farmers in mechanized cassava-processing villages compared with the farmers in nonmechanized cassava-processing villages in 2014. Given the specification of the translog production function, the mean technical efficiencies of the farmers were 0.69 and 0.52 in mechanized and nonmechanized villages, respectively. The significant determinants of technical inefficiency among the respondents are farming experience, education, membership of farmer association, access to markets, sale of cassava to processors and farmers who planted cassava as sole crop are all negative, which confirm to a priori expectations and significant at different levels. The policy implication of the study is that mechanization of cassava processing, particularly if done at the right scale, could create demand that can transform primary production for increased yields, higher incomes and production efficiency of smallholder farmers who constitute a significant proportion of Uganda’s agricultural sector.     

Cost structure,technological change,and productivity growth in the greek banking sector

This paper first empirically investigates the cost structure of the Greek banking sector. Secondly, it provides measures of economies (diseconomies) of scale and quantifies technical change and its sources. Finally, this paper measures total factor productivity growth and identifies its sources. Bank production is presented with two different approaches (the intermediation and the production approach) which are used to specify a translog cost function. The two different translog cost models are estimated through the full information maximum likelihood method of estimation on pooled time series and cross sectional data. The results obtained are not significantly affected by model specification. Both models indicate significant economies of scale and negative annual rates of growth in technical change and in total factor productivity.     

Competition,economies of scale,and diversity of firm sizes

This paper presents an empirical example in which small firms are able to compete by specializing, without monopolistic conduct, despite economies of scale. The viability of small commercial banks in Illinois is established both by casual observation and by a finding of constant returns to scale, not correcting for specialization. A second specification of the cost function, correcting for specialization, exhibits economies of scale, suggesting that specialization is the means by which small banks survive. Monopoly conduct is ruled out by a Rosse–Panzar test, rejecting the alternative hypothesis that monopoly power has allowed inefficient banks to survive.     

A translog production function for the Spanish provinces: Impact of the human and physical capital in economic growth

A translog production function and an extended translog production function with third-order terms are estimated for the 50 Spanish provinces in the period 1985–2006. The results show the existence of complementarity relationships between private physical and human capital. Likewise, they show the existence of decreasing returns of private physical and human capital. However, the direction of the decreasing returns of private physical capital is reversed for a high endowment level of this factor. These results suggest the importance of capitalizing the Spanish economy, since it would increase the effect of human capital upon productivity and may also generate positive externalities.     

Measuring Search Frictions Using Japanese Microdata

This paper estimates individual‐level matching functions to measure search frictions in the Japanese labour market and presents the determinants of search duration. We employ administrative microdata that track the job search process of job seekers who left or lost their job in August 2005 and subsequently registered at their local public employment service. Our finding is that the matching function exhibits decreasing rather than constant returns‐to‐scale for job seekers and vacancies. We also find that after controlling for the benefits period, job seekers who lost their job involuntarily were more likely than those quitting voluntarily to exit from unemployment.     

Estimation of TFP growth: a semiparametric smooth coefficient approach

This article uses a semiparametric smooth coefficient model (SPSCM) to estimate TFP growth and its components (scale and technical change). The SPSCM is derived from a nonparametric specification of the production technology represented by an input distance function (IDF), using a growth formulation. The functional coefficients of the SPSCM come naturally from the model and are fully flexible in the sense that no functional form of the underlying production technology is used to derive them. Another advantage of the SPSCM is that it can estimate bias (input and scale) in technical change in a fully flexible manner. We also used a translog IDF framework to estimate TFP growth components. A panel of U.S. electricity generating plants for the period 1986?C1998 is used for this purpose. Comparing estimated TFP growth results from both parametric and semiparametric models against the Divisia TFP growth, we conclude that the SPSCM performs the best in tracking the temporal behavior of TFP growth.     

Cost structure and capacity in the Norwegian pelagic fisheries

The parameters of the short-run cost function are estimated for three vessel types taking part in the Norwegian pelagic fisheries: purse seine vessels, trawlers, and coastal vessels. The generalized translog functional form is used. Estimates of returns to scale are calculated and the results indicate that there are substantial economies of scale in all vessel classes. It is further investigated whether excess capacity varies with vessel size and age. The analysis suggests increased quotas per vessel to avoid rent dissipation. With the total allowable catch given, the number of participating vessels must be reduced.     

Estimating technical change by nonparametric methods

A nonparametric method using dynamic data envelopment analysis is developed here to specify and estimate a dynamic production frontier. By this technique technological progress measured by the time shift of the production frontier and the scale economies measured by increasing returns to scale are estimated from the observed input output data, which may sometimes be nonstationary. An application to US computer industry exhibits substantial technological progress and scale economies over the period 1987–1998.     

Aumann-Shapley prices as a scarf social equilibrium

Considered are economies with a single output (a single consumption good) which is produced from l inputs by means of an increasing returns to scale production function f. We show that for quasi-concave and homogeneous functions f of degree r ? 1, the Aumann-Shapley prices constitute a simple Scarf Social Equilibrium. Put differently, Shapley value of the associated atomless game is in the core of that game. Such is not the situation, however, in the more general case when f exhibits increasing returns to scale (but in homogeneous).