scholarly journals Technological Heterogeneity in Pig Farming: A Metafrontier Approach—Perspectives from Hungary and Poland

Agriculture ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. 961
Author(s):  
Lajos Baráth ◽  
Imre Fertő ◽  
Jakub Staniszewski

Despite remaining the most important type of animal production, pig production in Poland and Hungary declined after their accession to the European Union (EU) in 2004. This paper investigated the evolution of the technical efficiency of the pork industry in both countries. We applied stochastic frontier analysis, which takes into account heterogeneity in the production environment and production functions in both countries—true random effects, and a metafrontier model. We employed farm-level data from the Farm Accountancy Data Network sample during the period 2004–2015. Results illustrate the differences in production function in both countries and technological decline throughout the period of analysis. Furthermore, farms in Hungary were more technologically developed as well as less efficient in relation to the country frontier; however, the higher technological level resulted in generally greater efficiency in relation to the metafrontier. Our results suggest that different policy measures would be effective in the countries under analysis.

Author(s):  
Tomas Baležentis ◽  
Tianxiang Li ◽  
Alvydas Baležentis

This study aims at analysing the trends in efficiency of Lithuanian dairy farms and thus identifying the prospective development paths. The semiparametric approach based on nonparametric regression and Stochastic Frontier Analysis is applied for the analysis. The research relies on Farm Accountancy Data Network and covers family farms. The period of 2004–2011 is considered. In order to identify the underlying trends in dairy farming, we focus on such features as technical efficiency, partial elasticities, and elasticity of scale. The semiparametric approach yielded rather high efficiencies. Specifically, the average technical efficiency of 89% was observed. A decline in technical efficiency during 2004–2011 is present for both point estimates and associated bounds of the confidence interval. Analysis of the elasticity of scale implies that most of the farms could still increase their scale of operation. The obtained results were confirmed by a parametric random coefficients model.


Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3357
Author(s):  
Krzysztof Piotr Pawłowski ◽  
Wawrzyniec Czubak ◽  
Jagoda Zmyślona

Ensuring adequate profitability of production, which can be ensured by optimal investments, can encourage farmers to be more caring about sustainable development. Several existing studies indicate that technical efficiency in agriculture varies regionally. Investments comprise a basic way to increase efficiency and thus reduce polarisation between regions. However, contrary to established assumptions, not every investment leads to increased efficiency, which entails a phenomenon of overinvestment. Investments should, by definition, be positively correlated with efficiency. However, existing studies indicate the existence of a significant problem of overinvestment, where increased efficiency may not occur. While for about 40% of farms in Poland the scale of investments can be assessed as optimal, more than quarter of farms exhibited absolute overinvestment and nearly one in five farms is underinvested. In response to this problem, this study aimed to identify regional differences in Poland with regard to overinvestment in farms, as well as to determine changes in farm efficiency depending on the region and level of overinvestment. The source material used in the following article consisted of unpublished Farm Accountancy Data Network (FADN) microdata derived from the DG AGRI of the European Commission. The study covered the period 2004–2015. For an original classification of farms according to their level of overinvestment the technical efficiency, using the stochastic frontier analysis approach, was used for determining regional differences that occurred as a result of overinvestment. Stochastic frontier analysis shown noticeable differences in the average technical efficiency for different overinvestment groups. As expected, underinvested farms are the least efficient (general in Poland and in all analyzed regions) and average technical efficiency did not increase. Interestingly, optimally investing farms do not have the highest technical efficiency. Higher efficiency was achieved by both relatively and absolutely overinvested farms. This is due to the fact that in order to produce efficiently in agriculture, it is necessary to at least maintain the level of tangible assets provision, and preferably to increase it as well. In terms of overinvestment levels, farm structure does not differ significantly between individual regions in Poland. However, there are differences between regions in terms of farm efficiency within each group. In all regions, only the underinvested farms did not increase their efficiency over the period under review and the highest efficiency growth rate was in regions where farms were least efficient at baseline.


2021 ◽  
Vol 13 (16) ◽  
pp. 8720
Author(s):  
Tamara Rudinskaya ◽  
Zdeňka Náglová

Mineral fertilisers such as nitrogen (N) or phosphorus (P) are commonly used as important inputs in agricultural production. Their inadequate use can result in lower yields and loss of quality. However, excessive use of nitrogen can lead to environmental pollution and adverse effects on human health. This paper assesses nitrogen fertiliser use and the environmental efficiency of crop production of EU member states using the stochastic frontier analysis (SFA) approach. The results of the analysis show that the crop sector in the five member states of the European Union (i.e., Slovenia, Italy, Greece, Austria and Spain) is relatively environmentally efficient. In the remaining member states, efficiency is lower by varying degrees. This means that their agricultural sectors use too much fertiliser to produce the same output as more efficient farms, compared to other countries. The results of the study shed light on the environmental efficiency of crop production in the tEU and can contribute to the application of better management techniques and more effective agricultural policies.


2019 ◽  
Vol 65 (No. 4) ◽  
pp. 175-184 ◽  
Author(s):  
Vladimír Kostlivý ◽  
Zuzana Fuksová

Organic farming has become an important part of Czech agriculture. The aim of this study is an evaluation of the technical efficiency of Czech organic farms and determining the main factors, including subsidies, which affect the technical efficiency of both conventional and organic farms. The Farm Accountancy Data Network Czech Republic (FADN CR) database provides sufficient panel data for this kind of research focusing on types of farming with livestock production. The methodological tool used to achieve the aim of this paper is the parametric stochastic frontier analysis, “True” Random Effects model, supposing farms heterogeneity and time variant determinants of inefficiency. The results of the research verified differences in the technical efficiency of organic and conventional agriculture related both to the different farming methods and to the production conditions. The type of farming and the economic size of farms influence the farms’ profitability, economic performance and comparability with conventional farms. The technical efficiency of organic farming is growing over the long term. Farms with growing technical efficiency show a decline in the proportion of operating subsidies to production, irrespective of their classification in quartiles by the technical efficiency estimate.


Ensemble ◽  
2021 ◽  
Vol 2 (2) ◽  
pp. 192-210
Author(s):  
Subrata Majumder ◽  
◽  
Jayati Chakraborty ◽  

This paper attempts to analyze the Technical and Economic Efficiency of four high performing manufacturing industries of India, viz., (i) Paper and paper products, (ii) Publishing, printing and reproduction of recorded media, (iii) Other non-metallic mineral products & (iv) Basic metals, in the post reform period. These four industries have been selected after comparing their growth rates among seventeen major industries with respect to the average industrial performance, which are calculated from ASI two digit level data for over two separate fifteen years span (1981-1995) & (1996-2010) representing the pre and post globalization states. After selecting the industries focus has been placed on their state of technical efficiency at the firm level. Here the analysis is carried out in terms of unit level ASI data and the method applied is the Stochastic Frontier Analysis. The years selected are 2003-04 and 2008-09. At the next step only the technically efficient firms have been culled out and an industry-wise analysis of their relative economic efficiency has been presented by considering the Generalized Leontief Production Function and applying Full Information Maximum Likelihood technique.


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