Agric. Econ. - Czech, 2020, 66(7):317-324 | DOI: 10.17221/73/2020-AGRICECON

Is Michał Kalecki's theory of investment applicable today? The case study of agricultural holdings in the EU countriesOriginal Paper

Aleksander Grzelak ORCID...*,1, Piotr Kułyk2
1 Department of Macroeconomics and Agricultural Economics, Institute of Economics, Poznań University of Economics and Business, Poznań, Poland
2 Department of International Economics and Market Analysis, Faculty of Economics and Management, University of Zielona Góra, Zielona Góra, Poland

The purpose of the article is to recognise whether Michał Kalecki's investment theory works in the functioning of farms in the EU countries. We use the data of farms of the EU FADN (Farm Accountancy Data Network) system. The dynamic panel (the 1st difference generalised method of moments - GMM) estimator model was employed for analysis. The assessments were related to the economic size of farms. The results have allowed the partial confirmation of the validity of Kalecki's model to explain agricultural holdings adjustment mechanisms in the investment sphere. It is about medium-large (ES4) and large farms (ES5). In smaller farms (ES1-3) this mechanism was not recorded, and also in the largest agricultural holdings (ES6) where the development mechanism is more complex. Thus the size of farms determines different changes in investments activity in analysed groups of farms. Results suggest that a demand effect of investment expenditures, in the case of the examined group of farms, predominates to supply effect. It can be attributed to the fact that agriculture through the institutional system (the CAP - Common Agricultural Policy) and the peculiarities of this sector have weakened internal competition. We should be aware that the developmental mechanisms of agricultural holdings in the investment sphere are complex, and Kalecki's theory may somewhat better understand these mechanisms.

Keywords: agriculture; assets; capital accumulation income; dynamic panel models; Kalecki's investment theory

Published: July 31, 2020  Show citation

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Grzelak A, Kułyk P. Is Michał Kalecki's theory of investment applicable today? The case study of agricultural holdings in the EU countries. Agric. Econ. - Czech. 2020;66(7):317-324. doi: 10.17221/73/2020-AGRICECON.
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References

  1. Arellano M., Bond S. (1991): Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. The Review of Economic Studies, 58: 277-297. Go to original source...
  2. Augustowski L. (2016): The impact of market factors on the income of individual agricultural holdings (Wpływ czynników rynkowych na dochody indywidualnych gospodarstw rolnych). In: Miciuła I. (ed.): Otoczenie organizacyjne a uwarunkowania społeczno-gospodarcze. Wyd. Naukowe Sophia, Katowice: 87-99. (in Polish)
  3. Benjamin C., Phimister E. (2002): Does capital market structure affect farm investment? A comparison using French and British farm-level panel data. American Journal of Agricultural Economics, 84: 1115-1129. Go to original source...
  4. Blecker R. (2002): Distribution, demand and growth in neoKaleckian macro-models. In: Setterfield M. (ed.): The Economics of Demand-led Growth: Challenging the Suply-Side Vision of the Long Run. Cheltenham, Edward Elgar Publishing: 129-152. Go to original source...
  5. Blundell R., Bond S., Windmeijer F. (2001): Estimation in dynamic panel data models: Improving on the performance of the standard GMM estimator. In: Baltagi B., Fomby T., Carter H. (eds): Nonstationary Panels, Panel Cointegration, and Dynamic Panels. Bingley, Emerald Bingley, Group Publishing Limited: 53-91. Go to original source...
  6. Chen K., Chen Y., Fan S. (2018): Is agricultural investment in China affected by economic slowdown? World Food Policy, 4: 175-195. Go to original source...
  7. Czubak W., Pawłowski K. (2020): Sustainable economic development of farms in Central and Eastern European countries driven by pro-investment mechanisms of the common agricultural policy. Agriculture, 10: 1-19. Go to original source...
  8. Czyżewski B., Majchrzak A. (2017): Economic size of farms and adjustments of the total factor productivity to the business cycle in Polish agriculture. Agricultural Economics - Czech, 63: 93-102. Go to original source...
  9. EU FADN (2020): European Union Farm Accountancy Data Network. EU FADN. Available at http://ec.europa.eu/agriculture/rica/ (accessed Jan 2020).
  10. Fertő I., Zoltán L., Bakucs S., Bojnec L., Latruffe L. (2017): East-West European farm investment behaviour - The role of financial constraints and public support. Spanish Journal of Agricultural Research, 15: 1-7. Go to original source...
  11. Haan C. (2002): Statistical Methods in Hydrology. Ames, Iowa, Iowa State University Press: 5-378.
  12. Hattaf K., Riad D., Yousfi N. (2017): A generalised business cycle model with delays in gross product and capital stock. Chaos, Solitons & Fractals, 98: 31-37. Go to original source...
  13. Hein E., van Treeck T. (2010): Financialisation in postKeynesian models of distribution and growth: a systematic review. In: Setterfield M. (ed.): Handbook of Alternative Theories of Economic Growth. Cheltenham, Edward Elgar Publishing: 277-292. Go to original source...
  14. Kalecki M. (1935): A macrodynamic theory of business cycle. Econometrica, 3: 327-344. Go to original source...
  15. Kalecki M. (1937): A theory of the business cycle. Review of Economic Studies, 4: 77-97. Go to original source...
  16. Kallas Z., Serra T., Gil J. (2012): Effects of policy instruments on farm investments and production decisions in the Spanish COP sector. Applied Economics, 44: 3877-3886. Go to original source...
  17. Kataria K., Curtiss J., Balmann A. (2012): Drivers of agricultural physical capital development. Theoretical framework and hypotheses, factor markets. Working Paper No. 18. Centre for European Policy Studies.
  18. Kirchweger S., Kantelhardt J. (2015): Impacts of the government-supported investments on the economic farm performance in Austria. Agricultural Economics - Czech, 61: 343-355. Go to original source...
  19. Krupowicz W., Bielska A., Budzyński T. (2015): The effects of defective spatial structure on the agricultural property market. Folia Oeconomica Stetinensia, 15: 174-191. Go to original source...
  20. Kufel J. (2016): Cyclicality of markups in the EU food industry and the Michał Kalecki theory. Acta Scientiarum Polonorum, Oceonomia, 15: 51-63.
  21. Maart-Noelck S., Musshoff O. (2013): Investing today or tomorrow? An experimental approach to farmers' decision behaviour. Journal of Agricultural Economics, 64: 295-318. Go to original source...
  22. Magnan A. (2015): The financialisation of agri-food in Canada and Australia: Corporate farmland and farm ownership in the grains and oilseed sector. Journal of Rural Studies, 41: 00-00. Go to original source...
  23. Minsky H. (2008): Stabilising an Unstable Economy. New York, McGraw-Hill Professional: 4-432.
  24. Salahuddin M., Islam M. (2008): Factors affecting investment in developing countries: A panel data study. The Journal of Developing Areas, 42: 21-37. Go to original source...
  25. Sedláček J., Kouřilová J., Pšenčík J. (2012): Models of the realistic reporting of subsidies in the farm accounting. Agricultural Economics - Czech, 58: 34-40. Go to original source...
  26. Skevas T., Wu F., Guan Z. (2017): Farm capital investment and deviations from the optimal path. Journal of Agricultural Economics, 69: 561-577. Go to original source...
  27. Van Herck K., Vranken L. (2013): Direct payments and land rents: evidence from new member states. Factor markets. Working paper No. 62. Brussels, Centre for European Policy Studies. Go to original source...
  28. Viaggi D., Raggi M., Paloma S. (2011): Understanding the determinants of investment reactions to decoupling of the Common Agricultural Policy. Land Use Policy, 28: 495-505. Go to original source...
  29. Windmeijer F. (2005): A finite sample correction for the variance of linear efficient two-step GMM estimators. Journal of Economics, 126: 25-51. Go to original source...
  30. Wooldridge J. (2002): Econometric analysis of cross section and panel data. London, MIT Press: 206-209. Available at https://doi.org/10.1007/s00712-003-0589-6(accessed Jan 2020).
  31. Xiao-Hong W., Yan-Hui Z., Ka L. (2016): Stability and Hopf bifurcation for Kaldor-Kalecki model of business cycles with two time delays. International Journal of Engineering Research & Science, 2: 1-14.

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