Productivity change analysis in dairy farms following Polish accession to the EU – An output growth decomposition approach

Makieła, Kamil; Marzec, Jerzy; Pisulewski, Andrzej

doi:10.1177/0030727017742557

Cited by 5 publications

(3 citation statements)

References 19 publications

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“…The average technical efficiency score obtained from the GTRE model is lower than in the previous studies of Polish dairy farms (Čechura et al, 2017;Pisulewski, 2017 or Makieła, Marzec, and. However, the above-mentioned studies distinguish only one type of inefficiency.…”

Section: Discussioncontrasting

confidence: 58%

The Impact of Subsidies on Persistent and Transient Technical Inefficiency: Evidence from Polish Dairy Farms

Pisulewski

Marzec²

2022

J. Agric. Appl. Econ.

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We investigate the impact of five types of subsidies granted under the European Union Common Agricultural Policy on the persistent and transient inefficiency of Polish dairy farms. Our research shows that coupled and environmental subsidies reduce transient technical inefficiency, while the opposite is true for Less Favoured Areas (LFA) and other rural subsidies. Simultaneously, environmental, LFA, and other rural subsidies increase persistent technical inefficiency. These results imply that the impact of each type of subsidy on technical efficiency can be different and that the effect of the particular type of subsidy can vary between transient and persistent technical inefficiency.

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Section: Discussioncontrasting

confidence: 58%

The Impact of Subsidies on Persistent and Transient Technical Inefficiency: Evidence from Polish Dairy Farms

Pisulewski

Marzec²

2022

J. Agric. Appl. Econ.

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“…Labor input is defined as "total number of hours worked annually" in a given country (in thousands). All variables have been mean-corrected, which means that parameters of the first order approximation (β 2 , β 3 ) are interpreted as elasticities at the sample mean; see, e.g., (Makieła et al 2017).…”

Section: Results Based On Dataset Amentioning

confidence: 99%

Bayesian Model Averaging and Prior Sensitivity in Stochastic Frontier Analysis

Makieła

Mazur

2020

Econometrics

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This paper discusses Bayesian model averaging (BMA) in Stochastic Frontier Analysis and investigates inference sensitivity to prior assumptions made about the scale parameter of (in)efficiency. We turn our attention to the “standard” prior specifications for the popular normal-half-normal and normal-exponential models. To facilitate formal model comparison, we propose a model that nests both sampling models and generalizes the symmetric term of the compound error. Within this setup it is possible to develop coherent priors for model parameters in an explicit way. We analyze sensitivity of different prior specifications on the aforementioned scale parameter with respect to posterior characteristics of technology, stochastic parameters, latent variables and—especially—the models’ posterior probabilities, which are crucial for adequate inference pooling. We find that using incoherent priors on the scale parameter of inefficiency has (i) virtually no impact on the technology parameters; (ii) some impact on inference about the stochastic parameters and latent variables and (iii) substantial impact on marginal data densities, which are crucial in BMA.

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“…Various studies on farm productivity in Poland (Makieła et al, 2017;Pisulewski, 2017, 2019;Smędzik-Ambroży et al, 2019) and Cunha and Swinbank (2011) found that contrarily DPs did not reduce market uncertainties on farmers' incomes. Original scientific paper DOI: /10.5513/JCEA01/24.2.3656 Barma: Trends and determinants of post-integration agricultural transformation in Poland and...…”

Section: Farm Competitivenessmentioning

confidence: 99%

Trends and determinants of post-integration agricultural transformation in Poland and Bulgaria

Barma¹

2023

JCEA

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Agricultural transformation in Poland and Bulgaria, both characterized by unique farm structures compared to the old EU, has been a policy challenge for the Common Agricultural Policy (CAP) even before integration. Eurostat and Comtrade data over 2000 to 2016/2017 have been used to analyse agricultural restructuring at farm level, relating it to growth trends in agro-processing units and eventually to competitiveness in agricultural exports and trade specialization.CAP payment instruments, especially DPs have influenced farm restructuring, farming practices and income in both Poland and Bulgaria. Distinctive farm structures have evolved that have caused polarization and influenced productivity.Large farms are the main beneficiaries of farm aids and this polarization continues in the agro-industry sector as well.Multinational agro-firms, though insignificant in number are found to monopolise agro-based production in almost all the food processing sub-sectors in both the member countries. In terms of trade competitiveness indices, export specialization of agri-commodities has reduced in both members over 2000-2017, shares of processed commodities in exports with specialization have increased for Poland while Bulgaria has gained in medium-processing capabilities. For policy implications, small farms need to form producer groups and coordinate with small producers to increase both farm and firm level productivity. The subsidiarity principle of new CAP can be utilized by member states to facilitate this.

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Productivity change analysis in dairy farms following Polish accession to the EU – An output growth decomposition approach

Cited by 5 publications

References 19 publications

The Impact of Subsidies on Persistent and Transient Technical Inefficiency: Evidence from Polish Dairy Farms

The Impact of Subsidies on Persistent and Transient Technical Inefficiency: Evidence from Polish Dairy Farms

Bayesian Model Averaging and Prior Sensitivity in Stochastic Frontier Analysis

Trends and determinants of post-integration agricultural transformation in Poland and Bulgaria

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