Determinants of Persistent and Transient Technical Efficiency of Milk Production in EU
dc.contributor.author | Trnková, Gabriela | |
dc.contributor.author | Žáková Kroupová, Zdeňka | |
dc.contributor.other | Ekonomická fakulta | cs |
dc.date.accessioned | 2020-11-25T08:54:54Z | |
dc.date.available | 2020-11-25T08:54:54Z | |
dc.description.abstract | 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. | en |
dc.format | text | |
dc.identifier.doi | 10.15240/tul/001/2020-4-003 | |
dc.identifier.eissn | 2336-5604 | |
dc.identifier.issn | 1212-3609 | |
dc.identifier.uri | https://dspace.tul.cz/handle/15240/158172 | |
dc.language.iso | en | |
dc.publisher | Technická Univerzita v Liberci | cs |
dc.publisher | Technical university of Liberec, Czech Republic | en |
dc.publisher.abbreviation | TUL | |
dc.relation.isbasedon | Addo, F., & Salhofer, K. (2019). Determinants of Persistent and Transient Technical Efficiency of Austrian Crop Farms. Paper presented at the 59th Annual Conference, Braunschweig, Germany, September 25–27, 2019, German Association of Agricultural Economists (GEWISOLA). https://doi.org/10.22004/ag.econ.292287 | |
dc.relation.isbasedon | Agasisti, T., & Gralka, S. (2017). The transient and persistent efficiency of Italian and German universities: A stochastic frontier analysis (Working Paper No 14/17). Dresden: Technische Universität Dresden, Center of Public and International Economics (CEPIE). | |
dc.relation.isbasedon | Alem, H. (2018). Effects of model specification, short-run, and long-run inefficiency: an empirical analysis of stochastic frontier models. Agricultural Economics (Czech Republic), 64, 508–516. https://doi.org/10.17221/341/2017-AGRICECON | |
dc.relation.isbasedon | Badunenko, O., & Kumbhakar, S. C. (2016). When, where and how to estimate persistent and transient efficiency in stochastic frontier panel data models. European Journal of Operational Research, 255(1), 272–287. https://doi.org/10.1016/j.ejor.2016.04.049 | |
dc.relation.isbasedon | Badunenko, O., & Kumbhakar, S. C. (2017). Economies of scale, technical change and persistent and time-varying cost efficiency in Indian banking: Do ownership, regulation and heterogeneity matter? European Journal of Operational Research, 260(2), 789–803. https://doi.org/10.1016/j.ejor.2017.01.025 | |
dc.relation.isbasedon | Berisso, O. (2019). Analysis of Factors Affecting Persistent and Transient Inefficiency of Ethiopia’s Smallholder Cereal Farming. In P. Nilsson & A. Heshmati (Eds.), Efficiency, Equity and Well-Being in Selected African Countries Economic Studies in Inequality, Social Exclusion and Well-Being (pp. 199–228). Cham: Springer. https://doi.org/10.1007/978-3-030-11419-0_10 | |
dc.relation.isbasedon | Bojnec, Š., & Fertő, I. (2013). Farm income sources, farm size and farm technical efficiency in Slovenia. Post-Communist Economies, 25(3), 343–356. https://doi.org/10.1080/14631377.2013.813140 | |
dc.relation.isbasedon | Bokusheva, B., & Čechura, L. (2017). Evaluating dynamics, sources and drivers of productivity growth at the farm level (OECD Food, Agriculture and Fisheries Paper No. 106). Paris: OECD Publishing. https://doi.org/10.1787/5f2d0601-en | |
dc.relation.isbasedon | Colombi, R., Kumbhakar, S. C., Martini, G., & Vittadini, G. (2014). Closed-skew normality in stochastic frontiers with individual effects and long/short-run efficiency. Journal of Productivity Analysis, 42(2), 123–136. https://doi.org/10.1007/s11123-014-0386-y | |
dc.relation.isbasedon | Colombi, R., Martini, G., & Vittadini, G. (2017). Determinants of transient and persistent hospital efficiency: The case of Italy. Health Economics, 26(S2), 5–22. https://doi.org/10.1002/hec.3557 | |
dc.relation.isbasedon | Čechura, L., Grau, A., Hockmann, H., Levkovych, I., & Kroupová, Z. (2017). Catching Up or Falling Behind in European Agriculture: The Case of Milk Production. Journal of Agricultural Economics, 68(1), 206–227. https://doi.org/10.1111/1477-9552.12193 | |
dc.relation.isbasedon | Čechura, L., & Hockmann, H. (2017). Heterogeneity in Production Structures and Efficiency: An Analysis of the Czech Food Processing Industry. Pacific Economic Review, 22(4), 702–719. https://doi.org/10.1111/1468-0106.12217 | |
dc.relation.isbasedon | European Parliament. (2018). The EU dairy sector – Main features, challenges and prospects. Retrieved December 10, 2018, from http://www.europarl.europa.eu/RegData/etudes/BRIE/2018/630345/EPRS_BRI(2018)630345_EN.pdf. | |
dc.relation.isbasedon | Irz, X., & Thirtle, C. (2004). Dual Technological Development in Botswana Agriculture: A Stochastic Input Distance Function Approach. Journal of Agricultural Economics, 55(3), 455–478. https://doi.org/10.1111/j.1477-9552.2004.tb00110.x | |
dc.relation.isbasedon | Färe, R., & Primont, D. (1995). Multi-output production and duality: Theory and application. Boston, MA: Kluwer Academic Publishers. | |
dc.relation.isbasedon | Filippini, M., & Greene, W. H. (2014). Persistent and Transient Productive Inefficiency: A Maximum Simulated Likelihood Approach (Working Paper No. 14/197). Zurich: CER-ETH – Center of Economic Research. https://doi.org/10.2139/ssrn.2440704 | |
dc.relation.isbasedon | Filippini, M., Greene, W., & Masiero, G. (2016). Persistent and transient productive inefficiency in a regulated industry: electricity distribution in New Zealand (IdEP Economic Paper No. 1603). Lugano: USI Università della Svizzera italiana. | |
dc.relation.isbasedon | Greene, W. (2005). Reconsidering heterogeneity in panel data estimators of the stochastic frontier model. Journal of Econometrics, 126(2), 269–303. https://doi.org/10.1016/j.jeconom.2004.05.003 | |
dc.relation.isbasedon | Heshmati, A., Kumbhakar, S. C., & Kim, J. (2018). Persistent and Transient Efficiency of International Airlines. European Journal of Transport and Infrastructure Research, 18(2), 213–238. https://doi.org/10.18757/ejtir.2018.18.2.3231 | |
dc.relation.isbasedon | Kostov, P., Davidova, S., & Bailey, A. (2018). Effect of family labour on output of farms in selected EU Member States: a non-parametric quantile regression approach. European Review of Agricultural Economics, 45(3), 367–395. https://doi.org/10.1093/erae/jbx036 | |
dc.relation.isbasedon | Kumbhakar, S. C. (2011a). Estimation of production technology when the objective is to maximize return to the outlay. European Journal of Operational Research, 208(2), 170–176. https://doi.org/10.1016/j.ejor.2010.09.015 | |
dc.relation.isbasedon | Kumbhakar, S. C. (2011b). Estimation of Multiple Output Production Functions. Paper presented at the North American Productivity Workshop, June 2–5, 2010, Rice University, Houston, Texas; and Asia-Pacific Productivity Conference, July 21–23, 2010, Taipei, Taiwan. | |
dc.relation.isbasedon | Kumbhakar, S. C., Lien, G., Flaten, O., & Tveterås, R. (2008). Impacts of Norwegian Milk Quotas on Output Growth: A Modified Distance Function Approach. Journal of Agricultural Economics, 59(2), 350–369. https://doi.org/10.1111/j.1477-9552.2008.00154.x | |
dc.relation.isbasedon | Kumbhakar, S. C., Lien, G., & Hardaker, J. B. (2014). Technical efficiency in competing panel data models: a study of Norwegian grain farming. Journal of Productivity Analysis, 41(2), 321–337. https://doi.org/10.1007/s11123-012-0303-1 | |
dc.relation.isbasedon | Lai, H.-P., & Kumbhakar, S. C. (2018). Panel data stochastic frontier model with determinants of persistent and transient inefficiency. European Journal of Operational Research, 271(2), 746–755. https://doi.org/10.1016/j.ejor.2018.04.043 | |
dc.relation.isbasedon | Latruffe, L., Bravo-Ureta, B., Moreira, V., Desjeux, Y., & Dupraz, P. (2011). Productivity and subsidies in European Union countries: An analysis for dairy farms using input distance frontiers. Paper presented at EAAE 2011 Congress Change and Uncertainty, August 30–September 2, 2011, Zürich, Switzerland. https://doi.org/10.22004/ag.econ.114396 | |
dc.relation.isbasedon | Latruffe, L., Bravo‐Ureta, B. E., Carpentier, A., Desjeux, Y., & Moreira, V. H. (2016). Subsidies and Technical Efficiency in Agriculture: Evidence from European Dairy Farms. American Journal of Agricultural Economics, 99(3), 783–799. https://doi.org/10.1093/ajae/aaw077 | |
dc.relation.isbasedon | Lien, G., Kumbhakar, S. C., & Alem, H. (2018). Endogeneity, heterogeneity, and determinants of inefficiency in Norwegian crop-producing farms. International Journal of Production Economics, 201, 53–61. https://doi.org/10.1016/j.ijpe.2018.04.023 | |
dc.relation.isbasedon | Madau, F. A., Furesi, R., & Pulina, P. (2017). Technical efficiency and total factor productivity changes in European dairy farm sectors. Agricultural and Food Economics, 5(1), 17. https://doi.org/10.1186/s40100-017-0085-x | |
dc.relation.isbasedon | Nowak, A., Kijek, T., & Domańska, K. (2016). Technical efficiency and its determinants in the European Union. Agricultural Economics (Czech Republic), 61(6), 275–283. https://doi.org/10.17221/200/2014-agricecon | |
dc.relation.isbasedon | Njuki, E., & Bravo-Ureta, B. E. (2015). The Economic Costs of Environmental Regulation in U.S. Dairy Farming: A Directional Distance Function Approach. American Journal of Agricultural Economics, 97(4), 1087–1106. https://doi.org/10.1093/ajae/aav007 | |
dc.relation.isbasedon | Njuki, E., Bravo-Ureta, B. E., & Mukherjee, D. (2016). The good and the bad: Environmental efficiency in Norrheastern U.S. Dairy Farming. Agricultural and Resource Economics Review, 45(1), 22–43. https://doi.org/10.1017/age.2016.1 | |
dc.relation.isbasedon | Pisulewski, A., & Marzec, J. (2019). Heterogeneity, transient and persistent technical efficiency of Polish crop farms. Spanish Journal of Agricultural Research, 17(1), e0106. https://doi.org/10.5424/sjar/2019171-13926 | |
dc.relation.isbasedon | Pollak, R. (1985). A transaction cost approach to families and households. Journal of Economic Literature, 23(2), 581–608. | |
dc.relation.isbasedon | Rasmussen, S. (2010). Scale efficiency in Danish agriculture: an input distance-function approach. European Review of Agricultural Economics, 37(3), 335–367. https://doi.org/10.1093/erae/jbq023 | |
dc.relation.isbasedon | Rudinskaya, T., Hlavsa, T., & Hruska, M. (2019). Estimation of technical efficiency of Czech farms operating in less favoured area. Agricultural Economics (Czech Republic), 65(10), 445–453. https://doi.org/10.17221/52/2019-agricecon | |
dc.relation.isbasedon | Sipiläinen, T., Kumbhakar, S. C., & Lien, G. (2014). Performance of dairy farms in Finland and Norway from 1991 to 2008. European Review of Agricultural Economics, 41(1), 63–86. https://doi.org/10.1093/erae/jbt012 | |
dc.relation.isbasedon | Skevas, I., Emvalomatis, G., & Brümmer, B. (2018). Heterogeneity of Long-run Technical Efficiency of German Dairy Farms: A Bayesian Approach. Journal of Agricultural Economics, 69(1), 58–75. https://doi.org/10.1111/1477-9552.12231 | |
dc.relation.isbasedon | Tsionas, E. G., & Kumbhakar, S. C. (2014). Firm heterogeneity, persistent and transient technical inefficiency: A generalized true random-effects model. Journal of Applied Econometrics, 29(1), 110–132. https://doi.org/10.1002/jae.2300 | |
dc.relation.isbasedon | Wang, H.-J. (2002). Heteroskedasticity and non-monotonic efficiency effects of a stochastic frontier model. Journal of Productivity Analysis, 18(3), 241–253. https://doi.org/10.1023/A:1020638827640 | |
dc.relation.isbasedon | Zhu, X., Demeter, R. M., & Oude Lansink, A. G. J. M. (2012). Technical efficiency and productivity differentials of dairy farms in three EU countries: the role of CAP subsidies. Agricultural Economics Review, 13(1), 66–92. https://doi.org/10.22004/ag.econ.253496 | |
dc.relation.ispartof | Ekonomie a Management | cs |
dc.relation.ispartof | Economics and Management | en |
dc.relation.isrefereed | true | |
dc.rights | CC BY-NC | |
dc.subject | technical efficiency | en |
dc.subject | transient efficiency | en |
dc.subject | persistent efficiency | en |
dc.subject | four-component model | en |
dc.subject | determinants | en |
dc.subject | milk production | en |
dc.subject.classification | C23 | |
dc.subject.classification | D24 | |
dc.subject.classification | Q12 | |
dc.title | Determinants of Persistent and Transient Technical Efficiency of Milk Production in EU | en |
dc.type | Article | en |
local.access | open | |
local.citation.epage | 54 | |
local.citation.spage | 39 | |
local.faculty | Faculty of Economics | |
local.filename | EM_4_2020_3 | |
local.fulltext | yes | |
local.relation.abbreviation | E+M | cs |
local.relation.abbreviation | E&M | en |
local.relation.issue | 4 | |
local.relation.volume | 23 |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- EM_4_2020_03.pdf
- Size:
- 1011.88 KB
- Format:
- Adobe Portable Document Format
- Description:
- článek