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ZDENKA ZAKOVA KROUPOVA (Dr.) is Associate Professor at the Department of Economics, Faculty of Economics and Management, Czech University of Life Sciences Prague. Her research focuses on competitiveness of agriculture and food production, especially on technical efficiency, market-power, productivity, and sustainability of farms and food processing holdings. The research interests also focus on the environmental dimension of agricultural production - the provision of public goods and externalities and the estimation of the shadow prices of public goods and externalities. She has been participating on various national as well as international research projects during the past years, for example VALUMICS project – a research project funded by the European Union H2020 programme and explored the value chain dynamics, especially analysed of external and internal drivers influencing the performance of food value chains; COMPETE project – a research project supported by the European Commission's Seventh Framework Programme and focused on the competitiveness of EU agriculture evaluated by parametric modelling of technical efficiency and productivity; OVES project based on econometric assessments of agriculture production to evaluate the policy support of public goods provision in agriculture and propose the methodology of public goods valuation for national policy agents.
The paper provides findings on the technical efficiency of the European dairy processing industry, which is one of the most important subsectors of the food processing industry in the European Union (EU). The ability to efficiently use inputs in the production of outputs is a prerequisite for the sustainability and competitiveness of the agri-food sector as well as for food security. Thus, the aim of this paper is to provide a robust estimate of technical efficiency by employing new advances in productivity and efficiency analysis, and to investigate the efficiency of input use in 10 selected European countries. The analysis is based on two-stage stochastic frontier modelling incorporating country-specific input distance function (IDF) estimates and a meta-frontier input distance function estimate, both in specification of the four-component model, which currently represents the most advanced approach to technical efficiency analysis. To provide a robust estimate of these models, the paper employs methods that control for the potential endogeneity of netputs in the multi-step estimation procedure. The results, based on the Amadeus dataset, reveal that companies manufacturing dairy products greatly exploited their production possibilities in 2006–2018. The dairy processing industry in the analysed countries cannot generally be characterized by a considerable waste of resources. The potential cost reduction is estimated at 4%–8%, evaluated on the country samples mean. The overall technical inefficiency (OTE) is mainly a result of short-term shocks and unsystematic failures. However, the meta-frontier estimates also reveal a certain degree of systematic failure, e.g., permanent managerial failures and structural problems in European dairy processing industry.
Lukáš Čechura; Zdeňka Kroupová. Technical Efficiency in the European Dairy Industry: Can We Observe Systematic Failures in the Efficiency of Input Use? Sustainability 2021, 13, 1830 .
AMA StyleLukáš Čechura, Zdeňka Kroupová. Technical Efficiency in the European Dairy Industry: Can We Observe Systematic Failures in the Efficiency of Input Use? Sustainability. 2021; 13 (4):1830.
Chicago/Turabian StyleLukáš Čechura; Zdeňka Kroupová. 2021. "Technical Efficiency in the European Dairy Industry: Can We Observe Systematic Failures in the Efficiency of Input Use?" Sustainability 13, no. 4: 1830.
This paper deals with the estimation of technical efficiency of milk production in the EU, its decomposition and the analysis of determinants of transient and persistent efficiency. Attention was focused on specialized milk production using FADN data in the period from 2004 to 2017. The analysis is based on the four-component model that represents the most advanced approach to technical efficiency analysis at present and the multi-step estimation procedure extended by technical efficiency determinants. To the best of our knowledge, this is the first application of this model based on the multi-step estimation with the inclusion of technical efficiency determinants on this type of specialization in the EU. The results show that the overall technical efficiency achieves the mean value of 68% and is relatively dense around the mean. The persistent inefficiency poses a greater problem for dairy production and varies considerably across European regions compared to the transient part. Based on the assessment of the development of transient efficiency, it is evident that it is influenced by the situation on the dairy market, in particular by the milk crises. The most effective conversion of inputs to outputs is achieved in the Netherlands, the United Kingdom, and Belgium and is least burdened with institutional and structural rigidities. The results show that transient efficiency is positively influenced by paid labour share, rented land share, level of modernization and level of off-farm activities and negatively by the level of subsidies on livestock. The positive effect of the economies of size on persistent efficiency is not proved. However, specialization, despite the higher vulnerability of specialized farms to price shocks, affects persistent efficiency positively. Localization of farms in LFAs, as expected, has a negative impact on persistent technical efficiency.
Gabriela Trnková; Zdeňka Žáková Kroupová. Determinants of Persistent and Transient Technical Efficiency of Milk Production in EU. E+M Ekonomie a Management 2020, 23, 39 -54.
AMA StyleGabriela Trnková, Zdeňka Žáková Kroupová. Determinants of Persistent and Transient Technical Efficiency of Milk Production in EU. E+M Ekonomie a Management. 2020; 23 (4):39-54.
Chicago/Turabian StyleGabriela Trnková; Zdeňka Žáková Kroupová. 2020. "Determinants of Persistent and Transient Technical Efficiency of Milk Production in EU." E+M Ekonomie a Management 23, no. 4: 39-54.
Zdeňka Žáková Kroupová; Pavlína Hálová; Lenka Rumánková. Productivity of Czech Milk Production in European Comparison. Agris on-line Papers in Economics and Informatics 2020, 12, 115 -127.
AMA StyleZdeňka Žáková Kroupová, Pavlína Hálová, Lenka Rumánková. Productivity of Czech Milk Production in European Comparison. Agris on-line Papers in Economics and Informatics. 2020; 12 (3):115-127.
Chicago/Turabian StyleZdeňka Žáková Kroupová; Pavlína Hálová; Lenka Rumánková. 2020. "Productivity of Czech Milk Production in European Comparison." Agris on-line Papers in Economics and Informatics 12, no. 3: 115-127.
This paper deals with the economic performance and technical efficiency of dairy production in the European Union and its persistent and transient parts. Attention is focused on the differences in these efficiency indicators according to the economic size. The analysis covers two types of farming: specialized milk and mixed crops and livestock using FADN data in the period from 2004 to 2017. The analysis is based on the four-component model that represents the most advanced approach to technical efficiency analysis at present and the one-step estimation procedure. To the best of knowledge, this is the first application of the four-component model based on the one-step estimation procedure on these types of farming in the EU. The results show the highly efficient production in both types of farming. In both types of farming, the transient technical efficiency is higher than the persistent one. The overall and transient technical efficiency do not differ statistically among groups according to economic size. The lowest persistent technical efficiency was found in the group of highest economic size. This group has the highest share of current subsidies in gross farm income, produces the least gross farm income in total output, achieves also the lowest cost-effectiveness and the lowest value of performance indicators compared to the others.
Zdeňka Žáková Kroupová; Gabriela Trnková. Technical efficiency and economic performance of dairy production in the EU: the role of size. Journal of Central European Agriculture 2020, 21, 915 -928.
AMA StyleZdeňka Žáková Kroupová, Gabriela Trnková. Technical efficiency and economic performance of dairy production in the EU: the role of size. Journal of Central European Agriculture. 2020; 21 (4):915-928.
Chicago/Turabian StyleZdeňka Žáková Kroupová; Gabriela Trnková. 2020. "Technical efficiency and economic performance of dairy production in the EU: the role of size." Journal of Central European Agriculture 21, no. 4: 915-928.
Michal Malý; Pavlína Hálová; Michaela Havlikova; Z. Žáková-Kroupová. Valuation of Public Goods: The Case of Emissions from Livestock Holdings in the Czech Republic. Agris on-line Papers in Economics and Informatics 2017, 9, 99 -111.
AMA StyleMichal Malý, Pavlína Hálová, Michaela Havlikova, Z. Žáková-Kroupová. Valuation of Public Goods: The Case of Emissions from Livestock Holdings in the Czech Republic. Agris on-line Papers in Economics and Informatics. 2017; 9 (1):99-111.
Chicago/Turabian StyleMichal Malý; Pavlína Hálová; Michaela Havlikova; Z. Žáková-Kroupová. 2017. "Valuation of Public Goods: The Case of Emissions from Livestock Holdings in the Czech Republic." Agris on-line Papers in Economics and Informatics 9, no. 1: 99-111.
Zdenka Žáková Kroupová; Michaela Havlikova; Pavlína Hálová; Michal Malý. Economic Valuation of Mountain Landscapes and Ecosystems: A Meta-Analysis of Case Studies. Agris on-line Papers in Economics and Informatics 2016, 8, 103 -112.
AMA StyleZdenka Žáková Kroupová, Michaela Havlikova, Pavlína Hálová, Michal Malý. Economic Valuation of Mountain Landscapes and Ecosystems: A Meta-Analysis of Case Studies. Agris on-line Papers in Economics and Informatics. 2016; 8 (3):103-112.
Chicago/Turabian StyleZdenka Žáková Kroupová; Michaela Havlikova; Pavlína Hálová; Michal Malý. 2016. "Economic Valuation of Mountain Landscapes and Ecosystems: A Meta-Analysis of Case Studies." Agris on-line Papers in Economics and Informatics 8, no. 3: 103-112.
The paper explores and analyses the catching up and falling behind processes in the European dairy sector over the period 2004–2011, using a stochastic metafrontier multiple output distance function for 24 EU Member States. The metafrontier estimates reveal considerable productivity differences in milk production across the EU at the regional (NUTS-2) level. Milk yield per cow is the highest in the old Member States, especially in those regions located in the northwest of the EU, while the lowest productivity is observed in Eastern Europe. The same structure was found for both the TFP (Total Factor Productivity) levels and TFP growth. Moreover, the results for technical change suggest that farm sizes are not optimal in many regions in Central and Eastern Europe from a dynamic perspective. The comparative analysis suggests that in the new compared to the old Member States, fewer farms could benefit from the movement of the frontier. Moreover, there are no signs that poorly performing farms are catching up with the best performing farms in the EU regions/countries.
Lukas Cechura; Aaron Grau; Heinrich Hockmann; Inna Levkovych; Zdenka Kroupova. Catching Up or Falling Behind in European Agriculture: The Case of Milk Production. Journal of Agricultural Economics 2016, 68, 206 -227.
AMA StyleLukas Cechura, Aaron Grau, Heinrich Hockmann, Inna Levkovych, Zdenka Kroupova. Catching Up or Falling Behind in European Agriculture: The Case of Milk Production. Journal of Agricultural Economics. 2016; 68 (1):206-227.
Chicago/Turabian StyleLukas Cechura; Aaron Grau; Heinrich Hockmann; Inna Levkovych; Zdenka Kroupova. 2016. "Catching Up or Falling Behind in European Agriculture: The Case of Milk Production." Journal of Agricultural Economics 68, no. 1: 206-227.
Open Access Agricultural Journals published by Institute of Agricultural Economics and Information
L. Cechura; Z. Kroupova; Tamara Rudinskaya. Factors determining TFP changes in Czech agriculture. Agricultural Economics (Zemědělská ekonomika) 2016, 61, 543 -551.
AMA StyleL. Cechura, Z. Kroupova, Tamara Rudinskaya. Factors determining TFP changes in Czech agriculture. Agricultural Economics (Zemědělská ekonomika). 2016; 61 (No. 12):543-551.
Chicago/Turabian StyleL. Cechura; Z. Kroupova; Tamara Rudinskaya. 2016. "Factors determining TFP changes in Czech agriculture." Agricultural Economics (Zemědělská ekonomika) 61, no. No. 12: 543-551.
Open Access Agricultural Journals published by Institute of Agricultural Economics and Information
Z. Zakova Kroupova. Profitability development of Czech dairy farms. Agricultural Economics (Zemědělská ekonomika) 2016, 62, 269 -279.
AMA StyleZ. Zakova Kroupova. Profitability development of Czech dairy farms. Agricultural Economics (Zemědělská ekonomika). 2016; 62 (No. 6):269-279.
Chicago/Turabian StyleZ. Zakova Kroupova. 2016. "Profitability development of Czech dairy farms." Agricultural Economics (Zemědělská ekonomika) 62, no. No. 6: 269-279.
Michal Malý; Fem De; Zdenka Žáková Kroupová; Lukáš Čechura; Pavlína Hálová; Michaela Havlikova. Identification and Valuation of Public Goods within the Vertical of Cattle Breeding. Agris on-line Papers in Economics and Informatics 2016, VIII, 69 -82.
AMA StyleMichal Malý, Fem De, Zdenka Žáková Kroupová, Lukáš Čechura, Pavlína Hálová, Michaela Havlikova. Identification and Valuation of Public Goods within the Vertical of Cattle Breeding. Agris on-line Papers in Economics and Informatics. 2016; VIII (1):69-82.
Chicago/Turabian StyleMichal Malý; Fem De; Zdenka Žáková Kroupová; Lukáš Čechura; Pavlína Hálová; Michaela Havlikova. 2016. "Identification and Valuation of Public Goods within the Vertical of Cattle Breeding." Agris on-line Papers in Economics and Informatics VIII, no. 1: 69-82.
The paper presents an analysis of market power in the output milk-processing market. In particular, the paper identifies market failures in the…
L. Čechura; Zdeňka Žáková Kroupová; H. Hockmann; Agricultural Markets Iamo. Market Power in the European Dairy Industry. Agris on-line Papers in Economics and Informatics 2015, 7, 39 -47.
AMA StyleL. Čechura, Zdeňka Žáková Kroupová, H. Hockmann, Agricultural Markets Iamo. Market Power in the European Dairy Industry. Agris on-line Papers in Economics and Informatics. 2015; 7 (4):39-47.
Chicago/Turabian StyleL. Čechura; Zdeňka Žáková Kroupová; H. Hockmann; Agricultural Markets Iamo. 2015. "Market Power in the European Dairy Industry." Agris on-line Papers in Economics and Informatics 7, no. 4: 39-47.
L. Cechura; H. Hockmann; Michal Malý; Zdeňka Žáková Kroupová; Agricultural Markets Iamo. Comparison of Technology and Technical Efficiency in Cereal Production among EU Countries. Agris on-line Papers in Economics and Informatics 2015, 7, 27 -37.
AMA StyleL. Cechura, H. Hockmann, Michal Malý, Zdeňka Žáková Kroupová, Agricultural Markets Iamo. Comparison of Technology and Technical Efficiency in Cereal Production among EU Countries. Agris on-line Papers in Economics and Informatics. 2015; 7 (2):27-37.
Chicago/Turabian StyleL. Cechura; H. Hockmann; Michal Malý; Zdeňka Žáková Kroupová; Agricultural Markets Iamo. 2015. "Comparison of Technology and Technical Efficiency in Cereal Production among EU Countries." Agris on-line Papers in Economics and Informatics 7, no. 2: 27-37.
The main aim of the paper was a partial analysis of the production potential for pig fattening in the Czech Republic. This aim was achieved by econometric modelling of the production function, which was specified as a Cobb-Douglas function, with the level of average daily increase as the dependent variable, and feed compounds, mortality and weight of new stock as independent variables. The model was specified as a fixed effect model, and the parameters of the function were estimated by the method of least squares dummy variable, based on the ordinary least squares method. Verification of the estimated model was based on a t-test, coefficient of determination, Wald test, autoregressive test, and test of normality distribution of residuals. Subsequently, the estimated function was analysed and significant determinants of production were identified. The behaviour of the production functions was analysed for the average and marginal productions. The functions were also illustrated in graphs of production surfaces, from which the maps of isoproduction functions were derived. The isoproduction functions were used for the final analysis of the potential for pork production. The analysis was based on panel data from 32 farms focused on pig fattening, collected by our own survey. The research indicated significant differences between the surveyed farms. It also declared the most important factor of final production to be, with 99% probability, the new stock weight. The second most important determinant of final production is the feed compound A3, which is used in the final stage of fattening. For maximized production, the farmer should focus on the weight of pigs coming into fattening, choose the biggest one, and introduce the use of the feed compound A3. The results in the submitted paper should also be used by farmers to evaluate their production activity, and to compare their actual output with the theoretical value enumerated by the production function.
M. Maly; Z. Kroupova; D. Žídková; J. Peterová; L. Šobrová; L. Čechura; L. Pankova; J. Mach; Z. Kristkova; T. Maier; J. Hučko. Potential for pork production in the Czech Republic. Agricultural Economics (Zemědělská ekonomika) 2011, 57, 545 -554.
AMA StyleM. Maly, Z. Kroupova, D. Žídková, J. Peterová, L. Šobrová, L. Čechura, L. Pankova, J. Mach, Z. Kristkova, T. Maier, J. Hučko. Potential for pork production in the Czech Republic. Agricultural Economics (Zemědělská ekonomika). 2011; 57 (No. 11):545-554.
Chicago/Turabian StyleM. Maly; Z. Kroupova; D. Žídková; J. Peterová; L. Šobrová; L. Čechura; L. Pankova; J. Mach; Z. Kristkova; T. Maier; J. Hučko. 2011. "Potential for pork production in the Czech Republic." Agricultural Economics (Zemědělská ekonomika) 57, no. No. 11: 545-554.
Zdeňka Kroupová; Michal Malý. Analysis of Agriculture Subsidy Policy Tools - Aplication of Production Function. Politická ekonomie 2010, 58, 774 -794.
AMA StyleZdeňka Kroupová, Michal Malý. Analysis of Agriculture Subsidy Policy Tools - Aplication of Production Function. Politická ekonomie. 2010; 58 (6):774-794.
Chicago/Turabian StyleZdeňka Kroupová; Michal Malý. 2010. "Analysis of Agriculture Subsidy Policy Tools - Aplication of Production Function." Politická ekonomie 58, no. 6: 774-794.