Productivity growth in passenger-bus transportation: A heteroskedastic error component model with unbalanced panel data

This paper considers an econometric approach to measure total factor productivity (TFP) growth and technical change (TC) for 31 publicly-owned passenger-bus companies in India during 1983–1987. A translog variable cost function is used to represent the production technology. Firm heterogeneity is incorporated in the cost function using an error component model with firm-specific variances. TFP growth is decomposed into TC and economies of scale components. The TC component is further decomposed into pure, non-neutral, scale, and quasi-fixed factors/network components. An ownership group-wise comparison reveals that the public undertakings exhibit the highest rate of productivity growth, followed by the units operated by the state and local governments. The main source of TFP growth for the public undertakings and government-operated units is economies of scale, while the main source of falling TFP growth for corporations is technological regress.     

Public information as a deterrent to environmental infractions

This paper examines the effect of inflation on total factor productivity growth (TFP), using time-series data for every two digit Greek manufacturing industries. In order to do the above a translog flexible cost function is estimated and used to decompose TFP growth into scale economies, inflation and technical change. The advantage of estimating a very general and flexible cost function is that it allows us, for the first time, to examine empirically a large number of significant relationships between TFP growth and economies of scale, inflation and technical change. The main conclusion drawn from this analysis is that inflation reduces TFP growth in a way, which is sizeable. Furthermore, using standard causality test the direction of causality between inflation and TFP growth was tested at the manufacturing level.     

Long-run technical change and multifactor productivity growth in US manufacturing

This study utilizes a translog cost function to produce econometric estimates of the separate influences of technical change versus scale efficiency in contributing to multifactor productivity growth within the US manufacturing sector. The analysis generates (two-digit) industry-specific parameters that capture the effects of output versus time-related shifts in the cost function over the 1949–1991 period. Thus initial evidence concerning the relative importance of technical progress (versus ‘scale’) cannot be provided as a source of productivity gains within two-digit industries. The parametric estimates of total factor productivity growth are compared with existing Divisia measures to explore the shortcomings of the growth accounting technique. These long-run patterns hold implications for the productivity convergence hypothesis traced to knowledge spillovers between industries.     

Production Structure, Technical Change, and Productivity Growth in Albanian Agriculture

This paper analyzes the production structure, technical change, and total factor productivity of Albanian agriculture during the postwar period. Albanian agriculture faced severe structural problems such as limited economies of scale, labor-using technical change, decreasing partial factor (land and labor) productivities, and slow growth of total factor productivity. Agricultural development in Albania was based mainly on input increases, which accounted for almost 90% of output growth. Consequently, the economic crisis appearing since 1990 is not due only to the adjustment process toward a market economy but has also been affected by the postwar agricultural development strategy.     

Productivity measurement in Swedish departments of gynecology and obstetrics

The rapid growth of public spending and the need to assess its impact on the welfare system has made the studies of productivity in the public sector an important subject. This paper is concerned with the specification and estimation of total factor productivity growth using the primal panel data approach. The total factor productivity growth is decomposed into technical change and scale components. Several competing models are used to explore whether there are any similarities in the estimates of total factor productivity growth and technical change among these models. The models are estimated using different estimation methods. Some of the models, although assuming a Cobb–Douglas technology, exhibit firm-specific technical change. These models are used to measure productivity growth in departments of gynecology and obstetrics in Sweden. Empirical results show evidence of large and negative rate of productivity growth. In comparison among different specifications proposed, the level and the time pattern of productivity measures vary substantially across models and estimation methods.     

Labour and capital saving technical change in telecommunications

The Australian telecommunications sector is being improved and extended through substantial recent investment in intelligent technology such as digital switching, fibre optics, satellite and cellular transmission, and the Internet. These technologies are being progressively integrated with technology from the broadcasting, computer and electronics industries, providing a unified information infrastructure for information transmission and processing. Technological progress embodied in new equipment has the effect of increasing the efficiency of the factors of production. Such efficiency increases can be biased towards a particular factor. For instance, the impact of labour-augmenting technical change is a decline in the cost of labour per unit of production. When such biases are apparent the relativity between the costs of labour and capital per unit of production is changed. In the longer term, technical change can impact on the rate of employment growth and also on the rate of capital accumulation. In this study the Australian telecommunications cost structure is examined for the period 1919 to 1988. To measure labour saving and capital saving technical change a translog cost model is estimated. Multiproduct telecommunications cost studies typically employ the translog cost model (Evans and Heckman, 1984; Roöller, 1990a; 1990b; Shin and Ying, 1992; McKenzie and Small, 1997). The translog model places no a priori restrictions on substitution possibilities among the factors of production, and allows scale economies to vary with the level of output.     

Productivity growth in British manufacturing: spatial variation in the role of scale economies,technological growth and industrial structure

This paper investigates the role of scale economies, technological growth and industrial structure in creating spatial variation in manufacturing labour and Total Factor (TFP) productivity in Britain. Separate estimates of a translog specification are presented for British manufacturing firms located in defined areas of the country over the period 1994–1998. The results show that TFP change due to scale economies and technological growth has been of much less important in influencing the output growth of manufacturing firms than input growth or industrial structure. Regarding the components of TFP, technological growth has been the dominant force at play. The analysis of average labour productivity identifies shifts to other factors of production and industrial structure as being the main determinants of change, scale economies appear to have had a marginal role. The results identify spatial patterns indicating that more favourable locational effects arise for firms in areas adjacent to large urban centres, rather than for those located within cities, on the extreme periphery of the urban hinterland, or in rural areas and smaller towns.     

总需求、国际贸易与我国省际生产率变化——基于省际面板数据的研究

全要素生产率的提高是促进经济持续增长的重要原因,对生产率的研究,主要是从供给方面展开的,本文试图从需求角度研究全要素生产率变动的原因。理论上看,总需求通过影响技术创新、技术选择、规模经济效益和要素的使用效率等途径引起生产率的变化,国际贸易则通过促进分工深化、产生技术溢出等促进生产率的提高。然后,本文采用数据包络分析方法测算了中国省际全要素生产率变化,并将其分解为技术效率的变化和技术进步。结果发现中国改革开放以来全要素生产率增长主要是技术进步的结果,技术效率的作用很小。在测算和分解的基础上,利用省际面板数据,就总需求和国际贸易对生产率增长的影响作了实证分析,发现最终消费和资本形成对技术进步和全要素生产率的提高作用显著,出口对生产率增长的作用不显著,进口显著地促进了省际全要素生产率增长和技术进步。     

PETROLEUM REFINING INDUSTRY: AN ASSESSMENT OF ITS PRODUCTION STRUCTURE*

Cost structure of petroleum refining industry in Kuwait has been examined, with specific focus on factor substitution, and economies of scale and utilisation. This has been done by estimating translog cost functions, both long‐run and short‐run, using annual time‐series data covering the period from 1976 to 1998. The results indicate that the implied production structure is non‐homothetic, and the pattern of scale effect is labour and capital saving but material using. The evidence also supports presence of induced exogenous technical change, which is non‐neutral (labour and capital using, and material saving). The elasticity of substitution between capital and labour is negative, implying that the two inputs are complements. The results also indicate absence of economies and diseconomies of scale in the petroleum refining industry.     

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.     

Cost structure and technological change of local public transport: the Kaohsiung City Bus case

This study has developed a translog cost function for the Kaohsiung City Bus (KCB) to analyse its cost structure and economic characteristics, based on monthly data over the time period from January 1996 to December 2000. The empirical results reveal that economies of density in the provision of bus services in Kaohsiung do prevail. The estimated marginal cost, which is less than the average cost but greater than the current bus fare, indicates that the subsidy is necessary. Due to the existence of returns to density (RTD), the KCB could obtain cost-saving benefits by extending its output scale. The KCB production technology is also not neutral. The effects of technological change on the KCB costs suggest that over the period 1996–2000 technological progress did lead to cost saving; the pure productivity growth rate increased from 0.45% in 1998 to 3% in 2000.     

Mark-ups, economies of scale and the role of knowledge spillovers in OECD industries

Using R&D-based models of economic growth as a foundation, this paper argues that market-driven knowledge creation is necessarily linked as an engine of productivity growth to economies of scale and market-power. A cost function and factor demand model is applied to a cross-country industry data set to study market-power, economies of scale and the role of knowledge in an integrated approach. Empirical results reveal the presence of market-power and economies of scale in all of the industries investigated. R&D and spillovers explain some of the productivity growth observed. Spillovers are identified as an external source of economies of scale.     

Parametric Approaches to Productivity Measurement: A Comparison among Alternative Models

This paper deals with modeling total factor productivity (TFP) growth in a flexible manner using panel data. Several competing parametric models are used to explore whether there are any similarities in the estimates of TFP growth and technical change among these models. Using a primal approach, we decompose TFP growth into different components. The models are then used to measure productivity and technical change in the Swedish cement industry. In general, the results are found to be model dependent and often conflicting, although much less so for returns to scale and overall productivity growth.
JEL classification: O 30; C 33     

Research and development and labour productivity: do high-tech firms exhibit labour- or capital-saving technical change?

Employment and output in the advanced technology sectors have generally exhibited above-average growth for more than two decades. While this industry accounts for a relatively small share of total employment, the majority of private sector research and development (R&D) expenditures in the US is concentrated within seven sub-sectors. However, little attention has been paid as to whether high-tech productivity exhibits Hicksian capital or labour ‘savings’ bias or tendency to displace either factor input over time. Biased technical change can occur as economies transition between growth regimes. An augmented production function is employed to analyse the additional impact of R&D activity on firm-level labour productivity. A panel data set comprised of high-tech firms located across the advanced economies, China and India from 1990 to 2013 is used in the analysis. Labour-saving technical change was present across the advanced technology sectors and most countries. The expanded models of labour productivity that used fixed effects with lagged regressors confirmed the prior results as well as finding that R&D per employee, relative R&D intensity and firm market share contribute to firm-level labour productivity growth across countries and sectors. Additional support was found for diminishing returns to scale but not for R&D spillover effects.     

The impact of regulation on productivity growth: An application to the transmission sector of the interstate natural gas industry

We estimate a regulated cost function to examine the contributions of technical change, scale economies, and regulatory bias to productivity growth in an eleven-year, twenty-firm panel of interstate natural gas pipeline companies. We derive the unregulated cost function from the regulated cost function to produce estimates of movements in the unconstrained production technology. We find that the regulation constraint is binding in most years and that scale economies explain 38 percent more growth in the unconstrained production space than they do in the regulation-constrained production space.We are grateful to Gary Biglaiser, David Guilkey, C. A. Knox Lovell, and Helen Tauchen for their suggestions, and to Karen Bauer, Philip Budzik, Ronald Colter, and Mary Streitwieser for their assistance in compiling the data sample. We are also grateful to the participants at the Georgia Productivity Workshop and two anonymous referees for their comments and suggestions.     

Exports, Returns to Scale, and Total Factor Productivity: The Case of Taiwanese Manufacturing Industries

The paper examines the relevance of international scale economies and international market efficiency of trade based on the firm-level data of Taiwanese manufacturing industries. The author first constructs a simple analytical framework to measure the extent of scale economies and total factor productivity for each firm. The measurements of scale economies and total factor productivity are then used to investigate the relationships among exports, scale economies, and productivity. Significant external scale economies associated with exports and a strong positive relationship between the individual firm's productivity and its own export intensity are observed.     

Estimation des Économies D'échelle et de gamme dans de petites coopératives de services financiers: le cas des caisses populaires acadiennes

This study uses accounting data stemming from 80 credit unions affiliated to the "Fédération des caisses populaires acadiennes" to estimate a multi-product translog cost function with the aim to test for the presence of scale and scope economies. The cost model relies on the production approach and the financial services are gathered in four categories of products. The model is completed by three inputs and one control variable, the latter being used to capture the heterogeneity of costs arising from the average wealth of membership. Since the estimated output elasticity of the total cost, 0.89, is statistically less than one, the models detect quite important scale economies. As to scope economies, they are present but the coefficients are weakly significant.     

Sources of output growth in Singapore's services sector

As services are an important engine of growth for Singapore, this paper attempts to empirically investigate the sources of output growth in this sector to shed light on the debate sparked off by Krugman (1994) on the miraculous or mythical growth of Singapore and the other newly industralizing Southeast Asian economies. This is done by using the stochastic production frontier model with panel data. Unlike existing studies which used the conventional growth accounting approach to decompose output growth into just input growth and total factor productivity (TFP) growth, this approach further decomposes TFP growth into technological progress and changes in technical efficiency.     

Inter-factor Substitution,economies of scale and technical change: Evidence from Canadian industries

This paper explores the causes of inter-temporal variations in factor intensities and total factor productivity (TFP) in Canadian industries. For this purpose, we estimated translog cost function at the sector level allowing for non-homotheticity and non-neutral technical progress. Our empirical results suggest that about 15 to 20 per cent of the post-1973 slowdown in TFP is due to the inter-industry shifts in factor inputs. The remaining productivity slowdown could be attributed to the world wide slowdown in aggregate demand (lower capacity utilization rates) and the substantial increase in the relative price of energy and raw materials.     

Cost structure,productivity and efficiency of the Italian public higher education industry 2001–2011

In this paper, I analyze the cost structure of the Italian higher education system for the decade between 2001 and 2011, by means of a stochastic translog cost function. I suggest that the judgment about the optimal configuration of the sector is strongly dependent upon the policy priorities set by decision makers. When assuming that the universities’ output is the number of students, scale economies are exhausted, and marginal costs are relatively low; when considering graduates as outputs instead, there is opportunity for increasing the scale of operations. Inefficiency affects production in a sensible manner, especially when assuming that the target output is the number of graduates. Moreover, efficiency contributes to explaining a relevant portion of the productivity increases in the period. No significant scope economies between teaching and research emerge, suggesting that a higher degree of universities’ specialization can be a direction for improving the sector’s efficiency and productivity.