Joint estimation of technology choice and technical efficiency: an application to organic and conventional dairy farming

This paper proposes an econometric framework for joint estimation of technology and technology choice/adoption decision. The procedure takes into account the endogeneity of technology choice, which is likely to depend on inefficiency. Similarly, output from each technology depends on inefficiency. The effect of the dual role of inefficiency is estimated using a single-step maximum likelihood method. The proposed model is applied to a sample of conventional and organic dairy farms in Finland. The main findings are: the conventional technology is more productive, ceteris paribus; organic farms are, on average, less efficient technically than conventional farms; both efficiency and subsidy are found to be driving forces behind adoption of organic technology.     

Accounting for growth in retail trade: an international productivity comparison

In this paper we argue that the standard approach for measuring output and productivity in the trade sector has become obsolete. The key problem is that changes in prices of goods purchased for resale are not accounted for. We outline a consistent accounting framework for measuring trade productivity and provide new estimates, taking into account purchase prices of goods sold in a double deflation procedure. We find strong productivity improvements in the UK and US compared to France, Germany and The Netherlands since the mid-1990s. This finding is robust for various productivity measurement models.

Efficiency,productivity and technology comparison for farms in Central and Western Europe: The case of field crop and dairy farming in Hungary and France

This paper investigates the differences in technical efficiency and productivity change, and the technology gaps, between French and Hungarian farms in the dairy and cereal, oilseed and protein crops (COP) sectors during the period 2001–2007. The analyses were performed with national Farm Accountancy Data Network (FADN) data and the Data Envelopment Analysis (DEA) approach under each country's respective frontier and under a metafrontier.Results reveal that French COP farms were on average more efficient under their own technology than Hungarian farms under theirs, but there was no difference between the two countries for dairy farms. However, metatechnology ratios calculated with the construction of the metafrontier indicate that Hungarian technology was the more productive in both the dairy and the COP sectors, but more noticeably in COP production.     

Multifactor productivity and its determinants: an empirical analysis for Mexican manufacturing

The aim of this paper is twofold. First, we estimate production functions for the Mexican manufacturing sector and for 14 comprehensive groups, allowing us to construct various measures of multifactor productivity. Second, we analyse some of the determinants of productivity growth. We find that, on the one hand, there is a positive relationship between market concentration and technology adoption; on the other hand, both technology adoption and human capital promote productivity, whilst market concentration exerts a negative influence on it. Our results suggest that, once controlling for the effect on technology adoption, more concentration impacts negatively productivity growth.     

Technical efficiency in competing panel data models: a study of Norwegian grain farming

Estimation of technical efficiency is widely used in empirical research using both cross-sectional and panel data. Although several stochastic frontier models for panel data are available, only a few of them are normally applied in empirical research. In this article we chose a broad selection of such models based on different assumptions and specifications of heterogeneity, heteroskedasticity and technical inefficiency. We applied these models to a single dataset from Norwegian grain farmers for the period 2004–2008. We also introduced a new model that disentangles firm effects from persistent (time-invariant) and residual (time-varying) technical inefficiency. We found that efficiency results are quite sensitive to how inefficiency is modeled and interpreted. Consequently, we recommend that future empirical research should pay more attention to modeling and interpreting inefficiency as well as to the assumptions underlying each model when using panel data.     

Parametric decomposition of the input-oriented Malmquist productivity index: with an application to Greek aquaculture

Using a stochastic frontier approach and a translog input distance function, this paper implements the input-oriented Malmquist productivity index to a sample of Greek aquaculture farms. It is decomposed into the effects of technical efficiency change, scale efficiency change, input-mix and, technical change, which is further attributed to neutral, output- and input-induced shifts of the frontier. Implementable expressions for the aforementioned components are obtained using a discrete changes-approach that is consistent with the usual discrete-form data. Empirical findings indicate that the productivity of the farms in the sample increased during the period 1995–1999 and it was shaped up primarily by the input mix-effect and technical change.     

Trade and product innovations as sources for productivity increases: an empirical analysis

Increases in total factor productivity (TFP) are commonly associated with technological innovations measured by the stock of R&D. Empirical evidence seems to corroborate this relationship. However, in trading countries like The Netherlands, productivity increases, even in industry, can also be the result of innovations in the way transactions are managed. These innovations reduce transaction costs and exploit the welfare gains from (further) international division of labour. Such innovations are only partly included in R&D data. Consequently there is not much attention for these ‘trade innovations’—as we label them—in policy. In an empirical analysis this paper compares the influence of trade innovations with the influence of the stock of R&D on TFP in The Netherlands. The regression results show that in this country trade innovations are as important for TFP as technological innovations which directly affect the efficiency of production, which we label ‘product innovations’.      

Estimation and decomposition of inefficiency when producers maximize return to the outlay: an application to Norwegian fishing trawlers

This paper deals with estimation of a production technology where endogeneous choice of input and output variables is explicitly recognized. In particular, we assume that producers maximize return to the outlay (RO). For simplicity and tractability we start with a Cobb–Douglas transformation function with multiple inputs and outputs and show how the first-order conditions of RO maximization can be used to derive an estimating equation which is nothing but a partial input productivity equation. This equation does not suffer from the econometric endogeneity problem although the output and input variables are endogenous. First, we consider the case where producers are fully efficient allocatively but technically inefficient. The model is estimated using a single equation stochastic frontier approach. The model is then extended to allow allocative inefficiency and it is estimated as a system using generalized method of moment. Algebraic expressions are derived to decompose the effect of technical and allocative inefficiencies on RO. We also consider translog specifications that are estimated as (1) a single equation frontier model as well as (2) a system. We use a panel of Norwegian fishing trawlers data to estimate the model. Outputs are different species caught while inputs are labor and vessel size. We also control for number of days of operation, age of the vessel and year effects. Empirical results show that the average rate of RO is reduced by about 20 to 30 % due to technical inefficiency. On the other hand, average allocative efficiency is found to be about 78 %. The average overall efficiency is found to be around 60 %.     

Technical efficiency in farming: a meta-regression analysis

A meta-regression analysis including 167 farm level technical efficiency (TE) studies of developing and developed countries was undertaken. The econometric results suggest that stochastic frontier models generate lower mean TE (MTE) estimates than non-parametric deterministic models, while parametric deterministic frontier models yield lower estimates than the stochastic approach. The primal approach is the most common technological representation. In addition, frontier models based on cross-sectional data produce lower estimates than those based on panel data whereas the relationship between functional form and MTE is inconclusive. On average, studies for animal production show a higher MTE than crop farming. The results also suggest that the studies for countries in Western Europe and Oceania present, on average, the highest levels of MTE among all regions after accounting for various methodological features. In contrast, studies for Eastern European countries exhibit the lowest estimate followed by those from Asian, African, Latin American, and North American countries. Additional analysis reveals that MTEs are positively and significantly related to the average income of the countries in the data set but this pattern is broken by the upper middle income group which displays the lowest MTE.

Some cumulative logit models for panel-data analysis: an application to a dynamic analysis of personal efficacy

This paper introduces novel cumulative logit models for the panel-data analysis of transitions among ordered states of a polytomous dependent variable. The models differ from conventional cumulative logit models in that they can distinguish between covariate effects on the odds of having an upward transition and covariate effects on the odds of having a downward transition in the ordered states of the dependent variable. The new models are applied to panel data on personal efficacy and are used to identify asymmetric patterns in the effects of divorce and unemployment on changes in the level of personal efficacy. The effects of the two events on increasing the odds of having a downward transition are shown to be greater than their effects on decreasing the odds of having an upward transition. Some distinct characteristics of the effects of each event are also reported.     

A nonlinear multivariate error components analysis of technology and specific factor productivity growth with an application to the U.S. Airlines

This study outlines a nonlinear model of technology and specific factor productivity growth and uses the model to analyze a new panel of sixteen domestic carriers in the U.S. airline industry over 35 quarters from 1970.I to 1978.III. We outline mapping procedures which allow construction of the production surfaces implied by the translog cost function used in our analysis. To our knowledge this study is the first to estimate such a general nonlinear multivariate error components model using full-information maximum likelihood.     

Qualitative comparative analysis (QCA): an application for the industry

This article examines the management in Colombian industrial sectors using qualitative comparative analysis (QCA). This method conceptualizes cases as combinations of attributes and use Boolean algebra to derive simplified expressions of combinations that lead to a specific outcome. In this analysis, we show the value of this method for studying the management in the industrial from different approaches.     

Cost Malmquist productivity index: an output-specific approach for group comparison

The cost Malmquist productivity index (CMPI) has been proposed to capture the performance change of cost minimizing Decision Making Units (DMUs). Recently, two alternative uses of the CMPI have been suggested: (1) using the CMPI to compare groups of DMUs, and (2) using the CMPI to compare DMUs for each output separately. In this paper, we propose a new CMPI that combines both procedures. The resulting methodology provides group-specific indexes for each output separately, and therefore offers the option to identify the sources of cost performance change. We also define our index when input prices are not observed and establish, in that case, a duality with a new technical productivity index, which takes the form of a Malmquist productivity index. We illustrate our new methodology with a numerical example and an application to the US electricity plant districts.     

A cross-country comparison of productivity growth using the generalised metafrontier Malmquist productivity index: with application to banking industries in Taiwan and China

This paper is an extension of the metafrontier Malmquist productivity index, which takes into account the effect of scale efficiency change in its decomposition for both the non-parametric and parametric frameworks. Meanwhile, the ‘catch-up’ in the index is also disintegrated as two components: pure technological catch-up and frontier catch-up. An empirical application that uses unbalanced panel data of the Taiwanese and Chinese commercial banking industry is also conducted under a parametric framework. The results reveal that the adverse scale efficiency change is the key factor to inducing the inferior productivity growth seen in Chinese banks compared with Taiwanese banks, which spotlights the importance of the scale efficiency change term on productivity measures. It also provides one possible explanation for the recent hot issue about the motives for the two shores of the Taiwan Straits advancing financial openness to each other and mutually signing a banking Memorandum of Understanding.     

Integrating decomposition approaches for the analysis of temporal changes in economic structure: an application to Chicago's economy from 1980 to 2000

This paper presents an attempt to integrate two flow decomposition methods to analyse temporal changes in a region's economic structure. The two methods of structural analysis are push–pull decomposition analysis and structural Q-analysis. Push–pull analysis presents a quasi-optimization decomposition of a set of matrices with actual intersectoral economic flows into a weighted set of matrices, while structural Q-analysis provides a form in which the structure of these decomposed flows can be considered. The paper provides an expository application to Chicago's economic structure over the period of 1980 to 2000, to reveal a complementary perspective of hollowing-out the production process in the Chicago economy that was identified in previous studies.     

Technology transfer as a learning and developmental process: an analysis of Norwegian programmes on technology transfer

This paper focuses on understanding technology transfer. The point of departure is to construct a model for transfer of technology based on organizational theory. The model identifies the transfer as a socio-technical learning and developmental process (TLD process). Technology is understood as a social construction where human choice and values determine the outcome. A successful transfer of new technology depends on a socio-technical change process, where the success is reached when the local company profitably integrates technology in its day-to-day operation.The TLD model is used as the basis for an empirical analysis of Norwegian programmes on technology transfer. This work is introduced by giving an overview of the literature evaluating the programmes. This literature, strongly influenced by qualitative methodology, does not give much insight into the basic elements of the TLD process. Therefore, the next step in the research is to investigate the models for the programmes in operation.The main conclusion is that no programme design is consciousiy based on understanding technology transfer as a socio-technical learning and developmental process. Firstly, technology is usually considered as a material artefact and not as a carrier of knowledge and cultural values. Secondiy, the traditional developmental model is bureaucratic and top-down. The intention is to furnish companies with technology and not to let the potential use of new technology be integrated into a planned learning and developmental process.The key point in this paper is to advocate that policymakers and managers of technology transfer programmes redesign their programmes to incorporate the important and necessary learning and developmental processes. If this is taken seriousiy, it will be possible to take full advantage of technology transfer as an important element in technology policy.     

绿色会计计量方法探析

本文在分析绿色会计计量重要性、计量理论和实践难点的基础上对绿色会计计量方法进行了探析,以为我国绿色会计计量提供参考.     

Infrastructure and productivity: An extension to private infrastructure and it productivity

This paper incorporates both public and private infrastructure within the framework of a nonlinear production function. The theoretical model specifies a technological growth rate as a nonlinear function of government infrastructure and private infrastructure generated by the information sector of the economy—cable, wireless stations, satellites, internet facilities, broadcasting, etc. The time trend is included to capture the effect of all other variables. The empirical estimates generated by the model imply increasing returns to scale for the US economy in the last few years. The evaluation of the growth accounting equation implies that information technology was the largest contributing component to growth during the expansion of the 1990s.     

Model selection in stochastic frontier analysis with an application to maize production in Kenya

This paper shows how to compute the standard errors for partial effects of exogenous firm characteristics influencing firm inefficiency under a range of popular stochastic frontier model specifications. We also develop an R²-type measure to summarize the overall explanatory power of the exogenous factors on firm inefficiency. The paper also applies a recently developed model selection procedure to choose among alternative stochastic frontier specifications using data from household maize production in Kenya. The magnitude of estimated partial effects of exogenous household characteristics on inefficiency turns out to be very sensitive to model specification, and the model selection procedure leads to an unambiguous choice of best model. We propose a bootstrapping procedure to evaluate the size and power of the model selection procedure. The empirical application also provides further evidence on how household characteristics influence technical inefficiency in maize production in developing countries.

The economic impact of migration: productivity analysis for Spain and the UK

Over the past 20?years labour has become increasingly mobile and whilst employment and earnings effects in host countries have been extensively analysed, the implications for firm and industry performance have received far less attention. This paper explores the direct economic consequences of immigration on host nations?? productivity performance at a sectoral level in two very different European countries, Spain and the UK. Whilst the UK has traditionally seen substantial immigration, for Spain the phenomenon is much more recent. Our findings from a growth accounting analysis show that migration has made a negative contribution to labour productivity growth in Spain and a negative but negligible contribution in the UK. This difference is driven by a positive impact from migrant labour quality in the UK. This finding broadly holds across all sectors, but we note considerable variation in magnitudes. Labour productivity growth has a neutral contribution from migrant labour in construction and personal services in the UK, whilst in every case in Spain the effect is negative, most strongly in agriculture. Using an econometric approach to production function estimation we observe a positive long term effect on total factor productivity from migrant workers in the UK and a negative effect in Spain. Our findings suggest that either the UK is better at assimilating migrants or is more selective in terms of who is permitted to migrate.