Technical Efficiency and Productivity Growth of Polish Crop Farms

Marzec, Jerzy; Pisulewski, Andrzej; Prędki, Artur

doi:10.33119/gn/108607

Cited by 8 publications

(7 citation statements)

References 9 publications

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“…Our results are in line with findings from other studies of European examples in which TC was the main contributor to TFP growth (Emvalomatis 2012;Keizer and Emvalomatis 2014;Marzec and Pisulewski 2019). Contradictory findings have been provided by Cechura et al (2017), who found that TC among dairy farms in the new EU member states was negative (from 2004 to 2011), except for that in the Czech Republic and Slovakia.…”

Section: Resultssupporting

confidence: 92%

One or many European models of agriculture? How heterogeneity influences income creation among farms in the European Union

Kryszak¹,

Herzfeld²

2021

Agric. Econ. - Czech

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Agricultural structures are quite heterogeneous across the European Union (EU), and it is likely that the underlying technology also differs across regions. In this article, we claim that the heterogeneity of agriculture across the EU affects the process of income creation (i.e. the relative importance of the factors of farm income differ for different agricultural models). A panel of farms representative for 125 regions reporting to the EU Farm Accountancy Data Network (FADN) during the period from 2007 to 2018 is used. In this article, those regions are grouped into three clusters. A system generalised method of moments (GMM) panel estimator is applied to each cluster. The results showed that total factor productivity (TFP), relative prices and agricultural subsidies make different contributions to farm net value added (FNVA). In particular, the income growth of farms in regions dominated by large farms seems to react more to marginal changes of the explanatory variables.

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Section: Resultssupporting

confidence: 92%

One or many European models of agriculture? How heterogeneity influences income creation among farms in the European Union

Kryszak¹,

Herzfeld²

2021

Agric. Econ. - Czech

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“…This indicates that estimates of technical efficiency are sensitive to the assumption made regarding the type of distribution of inefficiency. This finding is supported by Marzec and Pisulewski (2019), who also analysed crop farms in Poland, but using a truncated-normal SF model and obtained a substantially lower mean technical efficiency score (63%).…”

Section: Resultsmentioning

confidence: 54%

“…Therefore, the ranking of farms is not affected by choice of distribution. Similarly, in the study conducted by Marzec and Pisulewski (2019), the correlation between half-normal and truncatednormal technical efficiency scores was high (0.99). The form of the production function makes as well little difference in the farms' rankings because the geometric mean of the Spearman correlations is equal to 0.95.…”

Section: Resultsmentioning

confidence: 73%

Measurement of technical efficiency in the case of heterogeneity of technologies used between firms - Based on evidence from Polish crop farms

Marzec¹,

Pisulewski²

2021

AGR ECON-CZECH

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In the present study, we have investigated several competing stochastic frontier models which differ in terms of the form of the production function (Cobb-Douglas or translog), inefficiency distribution (half-normal or exponential distribution) and type of prior distribution for the parameters (hierarchical or non-hierarchical from the Bayesian point of view). This last distinction corresponds to a difference between random coefficients and fixed coefficients models. Consequently, this study aims to examine to what extent inferences about estimates of farms' efficiency depend on the above assumptions. Moreover, the study intends to investigate how far the production function's characteristics are affected by the choice of the type of prior distribution for the parameters. First of all, it was found that the form of the production function does not impact the efficiency scores. Secondly, we found that measures of technical efficiency are sensitive to distributional assumptions about the inefficiency term. Finally, we have revealed that estimates of technical efficiency are reasonably robust to the prior information about the parameters of crop farms' production technology. There is also a resemblance in the elasticity of output with respect to inputs between the models considered in this paper. Additionally, the measurement of returns to scale is not sensitive to model specification.

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“…Rudinskaya et al, 2019, Quiroga et al, 2017, Zhu et al, 2008. Extended research using two or more efficiency assessment methods can be found in the papers of Kočišová, 2015;Hoang and Trung, 2013;Marzec, 2019;Vlontzos et al, 2017, and others.…”

Section: Technical Efficiency Of Agriculture In Scientific Researchmentioning

confidence: 99%

Technical efficiency of agriculture in EU countries

Rusielik

Szczecińska

2020

Zb. Veleuč. Rij. (Online)

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The study attempts to assess the technical efficiency of agriculture in European Union countries. Two methods were used for this purpose. One was to establish a ranking and separate typological groups of countries similar to each other in terms of technical efficiency of agriculture, using the Hellwig’s taxonomic measure of development. The second one concerned the measurement of technical efficiency of EU countries using the DEA (Data Envelopment Analysis) method. A set of 6 variables determining the technology of agricultural activity was adopted for the model. The model assuming the variable effects of the BCC scale was adopted for the study. Based on the variables adopted for the DEA model, a set of diagnostic indicators was defined, which finally included 5 indicators. Based on these indicators, by means of a linear ordering method based on a synthetic variable, countries were grouped into 4 groups bringing together countries from the lowest to the highest efficiency. The results of both methods overlap in the part concerning the countries with the best efficiency. In other groups there are slight discrepancies that may result from limited access to information and selection of variables for research.

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Technical Efficiency and Productivity Growth of Polish Crop Farms

Cited by 8 publications

References 9 publications

One or many European models of agriculture? How heterogeneity influences income creation among farms in the European Union

One or many European models of agriculture? How heterogeneity influences income creation among farms in the European Union

Measurement of technical efficiency in the case of heterogeneity of technologies used between firms - Based on evidence from Polish crop farms

Technical efficiency of agriculture in EU countries

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