IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i11p3357-d570632.html
   My bibliography  Save this article

Regional Diversity of Technical Efficiency in Agriculture as a Results of an Overinvestment: A Case Study from Poland

Author

Listed:
  • Krzysztof Piotr Pawłowski

    (Department of Economics and Economic Policy in Agribusiness, Faculty of Economics, Poznan University of Life Sciences, 60-637 Poznan, Poland)

  • Wawrzyniec Czubak

    (Department of Economics and Economic Policy in Agribusiness, Faculty of Economics, Poznan University of Life Sciences, 60-637 Poznan, Poland)

  • Jagoda Zmyślona

    (Department of Economics and Economic Policy in Agribusiness, Faculty of Economics, Poznan University of Life Sciences, 60-637 Poznan, Poland)

Abstract

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 The source material used in the following article consisted of unpublished Farm Accountancy Data Network (FADN) microdata derived from the DG AGRI of the European Commission.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.

Suggested Citation

  • Krzysztof Piotr Pawłowski & Wawrzyniec Czubak & Jagoda Zmyślona, 2021. "Regional Diversity of Technical Efficiency in Agriculture as a Results of an Overinvestment: A Case Study from Poland," Energies, MDPI, vol. 14(11), pages 1-20, June.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:11:p:3357-:d:570632
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/11/3357/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/14/11/3357/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Maria Martinez Cillero & Fiona Thorne & Michael Wallace & James Breen & Thia Hennessy, 2018. "The Effects of Direct Payments on Technical Efficiency of Irish Beef Farms: A Stochastic Frontier Analysis," Journal of Agricultural Economics, Wiley Blackwell, vol. 69(3), pages 669-687, September.
    2. Belleflamme, Paul & Peitz, Martin, 2014. "Asymmetric information and overinvestment in quality," European Economic Review, Elsevier, vol. 66(C), pages 127-143.
    3. M. Albert & C. Jude & C. Rebillard, 2015. "The Long Landing Scenario: Rebalancing from Overinvestment and Excessive Credit Growth. Implications for Potential Growth in China," Working papers 572, Banque de France.
    4. Gong, Gang & Lin, Justin Yifu, 2008. "Deflationary expansion: An overshooting perspective to the recent business cycle in China," China Economic Review, Elsevier, vol. 19(1), pages 1-17, March.
    5. Tomich, Thomas P. & Lidder, Preetmoninder & Coley, Mariah & Gollin, Douglas & Meinzen-Dick, Ruth & Webb, Patrick & Carberry, Peter, 2019. "Food and agricultural innovation pathways for prosperity," Agricultural Systems, Elsevier, vol. 172(C), pages 1-15.
    6. Jerzy Michalek, 2012. "Counterfactual impact evaluation of EU rural development programmes - Propensity Score Matching methodology applied to selected EU Member States. Volume 2: A regional approach," JRC Research Reports JRC72060, Joint Research Centre.
    7. Sanzidur Rahman & Basanta Kumar Barmon, 2019. "Greening Modern Rice Farming Using Vermicompost and Its Impact on Productivity and Efficiency: An Empirical Analysis from Bangladesh," Agriculture, MDPI, vol. 9(11), pages 1-13, November.
    8. Darla Munroe, 2001. "Economic Efficiency in Polish Peasant Farming: An International Perspective," Regional Studies, Taylor & Francis Journals, vol. 35(5), pages 461-471.
    9. Cadot, Olivier & Roller, Lars-Hendrik & Stephan, Andreas, 2006. "Contribution to productivity or pork barrel? The two faces of infrastructure investment," Journal of Public Economics, Elsevier, vol. 90(6-7), pages 1133-1153, August.
    10. Ogundari, Kolawole, 2014. "The Paradigm of Agricultural Efficiency and its Implication on Food Security in Africa: What Does Meta-analysis Reveal?," World Development, Elsevier, vol. 64(C), pages 690-702.
    11. Sai Ding & John Knight & Xiao Zhang, 2019. "Does China overinvest? Evidence from a panel of Chinese firms," The European Journal of Finance, Taylor & Francis Journals, vol. 25(6), pages 489-507, April.
    12. Bozoglu, Mehmet & Ceyhan, Vedat, 2007. "Measuring the technical efficiency and exploring the inefficiency determinants of vegetable farms in Samsun province, Turkey," Agricultural Systems, Elsevier, vol. 94(3), pages 649-656, June.
    13. Mason-D'Croz, Daniel & Sulser, Timothy B. & Wiebe, Keith & Rosegrant, Mark W. & Lowder, Sarah K. & Nin-Pratt, Alejandro & Willenbockel, Dirk & Robinson, Sherman & Zhu, Tingju & Cenacchi, Nicola & Duns, 2019. "Agricultural investments and hunger in Africa modeling potential contributions to SDG2 – Zero Hunger," World Development, Elsevier, vol. 116(C), pages 38-53.
    14. Manevska-Tasevska, Gordana & Hansson, Helena & Asmild, Mette & Surry, Yves, 2021. "Exploring the regional efficiency of the Swedish agricultural sector during the CAP reforms ‒ multi-directional efficiency analysis approach," Land Use Policy, Elsevier, vol. 100(C).
    15. Catherine Benjamin & Euan Phimister, 2002. "Does Capital Market Structure Affect Farm Investment? A Comparison using French and British Farm-Level Panel Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(4), pages 1115-1129.
    16. Alvarez, Antonio & Arias, Carlos, 2004. "Technical efficiency and farm size: a conditional analysis," Agricultural Economics, Blackwell, vol. 30(3), pages 241-250, May.
    17. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    18. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    19. Chivu, Luminita & Andrei, Jean Vasile & Zaharia, Marian & Gogonea, Rodica-Manuela, 2020. "A regional agricultural efficiency convergence assessment in Romania – Appraising differences and understanding potentials," Land Use Policy, Elsevier, vol. 99(C).
    20. Adom, Philip Kofi & Adams, Samuel, 2020. "Decomposition of technical efficiency in agricultural production in Africa into transient and persistent technical efficiency under heterogeneous technologies," World Development, Elsevier, vol. 129(C).
    21. Anbes Tenaye, 2020. "Technical Efficiency of Smallholder Agriculture in Developing Countries: The Case of Ethiopia," Economies, MDPI, vol. 8(2), pages 1-27, April.
    22. Mueller, Bernardo & Mueller, Charles, 2016. "The political economy of the Brazilian model of agricultural development: Institutions versus sectoral policy," The Quarterly Review of Economics and Finance, Elsevier, vol. 62(C), pages 12-20.
    23. Piotr Bórawski & Marta Guth & Aneta Bełdycka-Bórawska & Krzysztof Józef Jankowski & Andrzej Parzonko & James W. Dunn, 2020. "Investments in Polish Agriculture: How Production Factors Shape Conditions for Environmental Protection?," Sustainability, MDPI, vol. 12(19), pages 1-26, October.
    24. Sadowski, Arkadiusz & Wojcieszak-Zbierska, Monika Małgorzata & Beba, Patrycja, 2021. "Territorial differences in agricultural investments co-financed by the European Union in Poland," Land Use Policy, Elsevier, vol. 100(C).
    25. Battese, George E. & Coelli, Tim J., 1988. "Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data," Journal of Econometrics, Elsevier, vol. 38(3), pages 387-399, July.
    26. Pitt, Mark M. & Lee, Lung-Fei, 1981. "The measurement and sources of technical inefficiency in the Indonesian weaving industry," Journal of Development Economics, Elsevier, vol. 9(1), pages 43-64, August.
    27. Schmidt, Peter & Sickles, Robin C, 1984. "Production Frontiers and Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 367-374, October.
    28. Irawan, Denny & Okimoto, Tatsuyoshi, 2021. "Overinvestment and macroeconomic uncertainty: Evidence from renewable and non-renewable resource firms," Journal of Economic Dynamics and Control, Elsevier, vol. 126(C).
    29. Silvia Scaramuzzi & Giovanni Belletti & Paola Biagioni, 2020. "Integrated Supply Chain Projects and multifunctional local development: the creation of a Perfume Valley in Tuscany," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 8(1), pages 1-16, December.
    30. repec:fip:fedreq:y:2011:i:3q:p:195-208:n:vol.97no.3 is not listed on IDEAS
    31. Hong, Yu & Heerink, Nico & Zhao, Minjuan & van der Werf, Wopke, 2019. "Intercropping contributes to a higher technical efficiency in smallholder farming: Evidence from a case study in Gaotai County, China," Agricultural Systems, Elsevier, vol. 173(C), pages 317-324.
    32. Kataria, Karin & Curtiss, Jarmila & Balmann, Alfons, 2012. "Drivers of Agricultural Physical Capital Development: Theoretical Framework and Hypotheses," Factor Markets Working Papers 122, Centre for European Policy Studies.
    33. John Ruggiero & Donald F. Vitaliano, 1999. "Assessing The Efficiency Of Public Schools Using Data Envelopment Analysis And Frontier Regression," Contemporary Economic Policy, Western Economic Association International, vol. 17(3), pages 321-331, July.
    34. J. Sauer & B. Balint, 2008. "Distorted prices and producer efficiency: the case of Romania," Journal of Productivity Analysis, Springer, vol. 29(2), pages 131-142, April.
    35. Gorton, Matthew & Davidova, Sophia, 2004. "Farm productivity and efficiency in the CEE applicant countries: a synthesis of results," Agricultural Economics, Blackwell, vol. 30(1), pages 1-16, January.
    36. Gideon Danso-Abbeam & Lloyd J. S. Baiyegunhi, 2020. "Do farm-level technical efficiency and welfare complement each other? Insight from Ghana’s cocoa industry," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 9(1), pages 1-15, December.
    37. Cornwell, Christopher & Schmidt, Peter & Sickles, Robin C., 1990. "Production frontiers with cross-sectional and time-series variation in efficiency levels," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 185-200.
    38. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    39. Nobuhiro Kiyotaki, 2011. "A perspective on modern business cycle theory," Economic Quarterly, Federal Reserve Bank of Richmond, vol. 97(3Q), pages 195-208.
    40. Rada, Nicholas & Liefert, William & Liefert, Olga, 2017. "Productivity Growth and the Revival of Russian Agriculture," Economic Research Report 256716, United States Department of Agriculture, Economic Research Service.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dorota Czerwińska-Kayzer & Joanna Florek & Ryszard Staniszewski & Dariusz Kayzer, 2021. "Application of Canonical Variate Analysis to Compare Different Groups of Food Industry Companies in Terms of Financial Liquidity and Profitability," Energies, MDPI, vol. 14(15), pages 1-16, August.
    2. Jagoda Zmyślona & Arkadiusz Sadowski & Natalia Genstwa, 2023. "Plant Protection and Fertilizer Use Efficiency in Farms in a Context of Overinvestment: A Case Study from Poland," Agriculture, MDPI, vol. 13(8), pages 1-16, August.
    3. Czubak, Wawrzyniec & Pawłowski, Krzysztof Piotr & Sadowski, Arkadiusz, 2021. "Outcomes of farm investment in Central and Eastern Europe: The role of financial public support and investment scale," Land Use Policy, Elsevier, vol. 108(C).
    4. Danilo Đokić & Tihomir Novaković & Dragana Tekić & Bojan Matkovski & Stanislav Zekić & Dragan Milić, 2022. "Technical Efficiency of Agriculture in the European Union and Western Balkans: SFA Method," Agriculture, MDPI, vol. 12(12), pages 1-18, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Massimo Del Gatto & Adriana Di Liberto & Carmelo Petraglia, 2011. "Measuring Productivity," Journal of Economic Surveys, Wiley Blackwell, vol. 25(5), pages 952-1008, December.
    2. Per J. Agrell & Mehdi Farsi & Massimo Filippini & Martin Koller, 2013. "Unobserved heterogeneous effects in the cost efficiency analysis of electricity distribution systems," Working Papers 0038, Swiss Economics.
    3. Tim J. Coelli, 1995. "Recent Developments In Frontier Modelling And Efficiency Measurement," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 39(3), pages 219-245, December.
    4. Quang Nguyen & Sean Pascoe & Louisa Coglan & Son Nghiem, 2021. "The sensitivity of efficiency scores to input and other choices in stochastic frontier analysis: an empirical investigation," Journal of Productivity Analysis, Springer, vol. 55(1), pages 31-40, February.
    5. Martín Rossi, 2015. "The Econometrics Approach to the Measurement of Efficiency: A Survey," Working Papers 117, Universidad de San Andres, Departamento de Economia, revised Feb 2015.
    6. Anbes Tenaye, 2020. "Technical Efficiency of Smallholder Agriculture in Developing Countries: The Case of Ethiopia," Economies, MDPI, vol. 8(2), pages 1-27, April.
    7. Sickles, Robin C., 2005. "Panel estimators and the identification of firm-specific efficiency levels in parametric, semiparametric and nonparametric settings," Journal of Econometrics, Elsevier, vol. 126(2), pages 305-334, June.
    8. Dale Squires & Kathleen Segerson, 2022. "Capacity and Capacity Utilization in Production Economics," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 24, pages 1001-1037, Springer.
    9. Roberto Colombi & Subal Kumbhakar & Gianmaria Martini & Giorgio Vittadini, 2014. "Closed-skew normality in stochastic frontiers with individual effects and long/short-run efficiency," Journal of Productivity Analysis, Springer, vol. 42(2), pages 123-136, October.
    10. Federico Belotti & Silvio Daidone & Giuseppe Ilardi & Vincenzo Atella, 2013. "Stochastic frontier analysis using Stata," Stata Journal, StataCorp LP, vol. 13(4), pages 718-758, December.
    11. MAIMOUNA DIAKITE & Jean-François BRUN, 2016. "Tax Potential and Tax Effort: An Empirical Estimation for Non-Resource Tax Revenue and VAT’s Revenue," EcoMod2016 9537, EcoMod.
    12. Martin, Sheila Ann, 1992. "The effectiveness of state technology incentives: evidence from the machine tool industry," ISU General Staff Papers 1992010108000011381, Iowa State University, Department of Economics.
    13. Farsi, Mehdi & Filippini, Massimo, 2009. "An analysis of cost efficiency in Swiss multi-utilities," Energy Economics, Elsevier, vol. 31(2), pages 306-315, March.
    14. Federico Belotti & Giuseppe Ilardi & Andrea Piano Mortari, 2019. "Estimation of Stochastic Frontier Panel Data Models with Spatial Inefficiency," CEIS Research Paper 459, Tor Vergata University, CEIS, revised 30 May 2019.
    15. Emilie Caldeira & Alou Adessé Dama & Ali Compaoré & Mario Mansour & Grégoire Rota-Graziosi, 2020. "Tax effort in Sub-Saharan African countries : evidence from a new dataset," Working Papers hal-02543162, HAL.
    16. Sickles, Robin C. & Song, Wonho & Zelenyuk, Valentin, 2018. "Econometric Analysis of Productivity: Theory and Implementation in R," Working Papers 18-008, Rice University, Department of Economics.
    17. Evangelia Desli & Subhash Ray & Subal Kumbhakar, 2003. "A dynamic stochastic frontier production model with time-varying efficiency," Applied Economics Letters, Taylor & Francis Journals, vol. 10(10), pages 623-626.
    18. Ayadi, Ahmed & Hammami, Sami, 2015. "An analysis of the performance of public bus transport in Tunisian cities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 75(C), pages 51-60.
    19. Pavlos Almanidis & Robin C. Sickles, 2016. "Banking Crises, Early Warning Models, and Efficiency," International Series in Operations Research & Management Science, in: Juan Aparicio & C. A. Knox Lovell & Jesus T. Pastor (ed.), Advances in Efficiency and Productivity, chapter 0, pages 331-364, Springer.
    20. Ahmad, Munir & Boris E., Bravo-Ureta, 1996. "Technical efficiency measures for dairy farms using panel data: a comparison of alternative model specifications," MPRA Paper 37703, University Library of Munich, Germany.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:14:y:2021:i:11:p:3357-:d:570632. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.