PL EN
RESEARCH PAPER
European Union Financial Instruments as a Source of External Capital in Agriculture
 
More details
Hide details
1
Zakład Finansów i Zarządzania Ryzykiem, Instytut Ekonomiki Rolnictwa i Gospodarki Żywnościowej – PIB, Polska
 
2
Katedra Finansów Korporacji, Uniwersytet Łódzki, Polska
 
 
Submission date: 2024-04-15
 
 
Final revision date: 2024-09-12
 
 
Acceptance date: 2024-11-12
 
 
Publication date: 2025-06-30
 
 
Corresponding author
Michał Soliwoda   

Katedra Finansów Korporacji, Uniwersytet Łódzki, Polska
 
 
GNPJE 2025;322(2):83-101
 
KEYWORDS
JEL CLASSIFICATION CODES
ABSTRACT
In order to ensure adequate incomes and living standards for its workforce, modern agriculture must be efficient, competitive, sustainable, and resilient. Achieving this requires consistent, flexible, and affordable access to external financing. Financial instruments (FIs) available under Pillar II of the Common Agricultural Policy (CAP) ’s Rural Development Programmes (RDPs) represent one potential source of such funding. However, despite their advantages, the implementation of FIs in Poland and other EU member states remains highly challenging. A key obstacle is the crowding out of alternative external financing sources by national and EU subsidies. This paper explores how FIs can be positioned within both theoretical and practical frameworks of agricultural financing to reduce excessive dependence on subsidies. The primary research method is a modified literature review. The analysis finds that, while FIs – particularly concessional loans – can help mitigate various shocks, they are unlikely to replace subsidies entirely. Instead, they are expected to function as complementary tools. Ultimately, financial instruments should be viewed as an additional, rather than alternative, source of funding for agriculture in the EU, including Poland.
REFERENCES (76)
1.
Aderajew T. S., Du X., Pennings E. M. J., Trujillo-Barrera A. [2020], Farm-Level Risk Balancing Behavior and the Role of Latent Heterogeneity, Journal of Agricultural and Resource Economics, 54 (2): 265–281.
 
2.
Aderajew T. S., Trujillo-Barrera A., Pennings J. M. E. [2018], Dynamic target capital structure and speed of adjustment in farm business, European Review of Agricultural Economics, 46: 637–661.
 
3.
Ahrendsen B. L., Collender N. R., Dixon L. B. [1994], An Empirical Analysis of Optimal Farm Capital Structure Decisions, Agricultural Finance Review, 54: 108–119.
 
4.
Antón J. [2022], Characterizing Farming Resilience Capabilities. An example of crop farms in the United Kingdom, OECD, Paris.
 
5.
Bampasidou M., Mishra A. K., Moss C. B. [2017], Modeling debt choice in agriculture: the effect of endogenous asset values, Agricultural Finance Review, 77: 95–110.
 
6.
Barry P. J., Bierlen R. W., Sotomayor N. L. [2000], Financial Structure of Farm Businesses under Imperfect Capital Markets, American Journal of Agricultural Economics, 82 (4): 920–933.
 
7.
Bascou P. [2022], The new CAP, financial instruments and smaller farms. Conference “Access to finance for smaller farms in the EU”, Brussels, 17 May 2022, https://www.fi-compass.eu/even... (dostęp: 10.02.2024).
 
8.
Bojnec S., Fertö I. [2018], Assessing and understanding the drivers of farm income risk: Evidence from Slovenia, New Medit, 17: 23–35.
 
9.
Brester G. W., Watts M. J. [2019], The Basel accords, capital reserve, and agricultural lending, Agricultural Finance Review, 79: 490–515.
 
10.
Cheng M., Gloy A. B. [2008], The Paradox of Risk Balancing: Do Risk-Reduction Policies Lead to More Risk for Farmers?, Paper presented at the annual meeting of the American Agricultural Economic Association, Orlando, Florida.
 
11.
Cheng W., Zhou M., Zhong L. [2021], How does land titling affect credit demand supply access, and rationing: evidence from China, Canadian Journal of Agricultural Economics, 69 (3): 384–414.
 
12.
Clapp J. [2014a], Finance for agriculture or agriculture for finance?, Journal of Peasant Studies, 41 (5): 797–814.
 
13.
Clapp J. [2014b], Financialization, distance and global food politics, Journal of Agrarian Change, 14 (4): 548–559.
 
14.
Clapp J. [2014c], The financialization of food: Who is being fed?, Agriculture and Human Values, 31 (4): 689–690.
 
15.
Collins A. R. [1985], Expected Utility, Debt-Equity Structure, and Risk Balancing, American Journal of Agricultural Economics, 67 (3): 627–629.
 
16.
Combary S. O. [2022], Farm productivity under financial constrains in developing countries: evidence from maize small-holder farmers in Burkina Fasso, Agricultural and Resource Economics Review, 51 (2): 380–390.
 
17.
Coppola A., Scardera A., Amato M., Verneau F. [2020], Income levels and farm economic viability in Italian farms: An analysis of FADN data, Sustainability, 12 (12): 4898.
 
18.
Craane B., Dijkstra P. U., Stappaerts K., De Laat A. [2012], Methodological Quality of a Systematic Review on Physical Therapy for Temporomandibular Disorders: Influence of Hand Search and Quality Scales, Clinical Oral Investigations, 16 (1): 295–303.
 
19.
DBV [2021], Situationsbericht 2021/22. Trends und Fakten zur Landwirtschaft, Deutscher Bawernverband e.V., Berlin.
 
20.
DBV [2023], Situationsbericht 2023/24. Trends und Fakten zur Landwirtschaft, Deutscher Bawernverband e.V., Berlin, https://www.situationsbericht.... (dostęp: 1.06.2024).
 
21.
DeLay N. D., Brewer B., Featherstone A., Boussios D. [2023], The impact of crop insurance on farm financial outcomes, Applied Economic Perspectives and Policy, 45 (1): 579–601.
 
22.
Ecorys [2016], Ocena ex ante celowości zastosowania instrumentów finansowych w ramach Programu Rozwoju Obszarów Wiejskich na lata 2014–2020. Raport dla MRiRW, Warszawa, 30.11.2016, http://www.minrol.gov.pl/Minis... (dostęp: 10.05.2017).
 
23.
EIPA-Ecorys-PwC [2014], Financial instruments in Cohesion Policy, 2014–2020: Ex-ante assessments. Managing Authority training, June 2014, for European Commission and European Investment Bank, http://ec.europa.eu/regional_p... (dostęp: 10.09.2022).
 
24.
El Benni N., Finger R. [2013], Gross revenue risk in Swiss dairy farming, Journal of Dairy Science, 96: 936–948.
 
25.
El Benni N., Finger R., Mann S. [2012], Effects of agricultural policy reforms and farm characteristics on income risk in Swiss agriculture, Agricultural Finance Review, 72: 301–324.
 
26.
Enjolras G., Fabian C., Magali A., Felice A. [2014], Direct payments, crop insurance and the volatility of farm income: some evidence in France and in Italy, New Medit, 13: 3140.
 
27.
Escalante C. L., Barry P. J. [2002], Business Growth Strategies of Illinois Farms, Agricultural Finance Review, 62 (1): 69–79.
 
28.
Escalante C. L., Barry P. J. [2003], Determinants of the strength of strategic adjustments in farm capital structure, Journal of Agricultural and Applied Economics, 35 (1): 67–78.
 
29.
European Commission [2024], Energy efficiency in buildings, https://commission.europa.eu/n... (dostęp: 17.02.2020).
 
30.
FAO [2023], Credit to agriculture, Rome, https://www.fao.org/faostat/en... (dostęp: 1.03.2024).
 
31.
FDIC [1997], History of the Eighties: Lessons for the Future. 1, An Examination of the Banking Crises of the 1980 s and Early 1990 s, Federal Deposit Insurance Corporation, Washington, DC.
 
32.
Featherstone A. M., Moss C. B., Baker T. G., Preckel P. V. [1988], The theoretical effects of farm policies on optimal leverage and the probability of equity losses, American Journal of Agricultural Economics, 70 (3): 572–579.
 
33.
fi-compass [2020], Financial needs in the agriculture and agri-food sectors in the European Union. Summary report, November 2020.
 
34.
fi-compass [2021], Fundusz gwarancji EFRROW dla gospodarstw rolnych i przedsiębiorstw rolno-spożywczych, Polska. Studium przypadku, https://www.fi-compaeu/sites/d... (dostęp: 15.03.2024).
 
35.
fi-compass [2022], Model for a financial instrument with a grant component to support energy efficiency a fi-compass model, May 2022, https://www.fi-compaeu/sites/d... (dostęp: 1.04.2024).
 
36.
Flatnes J. E. [2021], Information Sharing and Rationing in Credit Markets, American Journal of Agricultural Economics, 103: 944–960.
 
37.
Gabriel S. C., Baker C. B. [1980], Concepts of Business and Financial Risk, American Journal of Agricultural Economics, 62: 560–564.
 
38.
Gardner D. [2019], Combination of financial instruments with other forms of support, https://www.fi-compaeu/sites/d... (dostęp: 15.02.2024).
 
39.
GUS [2023], Działalność przedsiębiorstw leasingowych w 2017–2022, Główny Urząd Statystyczny, https://stat.gov.pl/obszary-te... (dostęp: 20.03.2024).
 
40.
Howley P., Dillon E. [2012], Modelling the effect of farming attitudes on farm credit use: a case study from Ireland, Agricultural Finance Review, 72 (3): 456–470.
 
41.
IOWA PBS [b.d.], The Farm Crisis of the 1980s, https://www.iowapbs.org/iowapa... (dostęp: 10.04.2024).
 
42.
Jalali S., Wohlin C. [2014], Systematic Literature Studies: Database Searches vs. Backward Snowballing, Proceedings International Conference on Evaluation and Assessment in Software Engineering.
 
43.
Katchova A. L. [2005], Factors affecting farm credit use, Agricultural Finance Review, 65: 17–29.
 
44.
Kim N. K., Katchova L. A. [2020], Impact of the Basel III bank regulation on US agricultural lending, Agricultural Finance Review, 80: 321–337.
 
45.
Knapp E., Loughrey J. [2017], The single farm payment and income risk in Irish farms 2005–2013, Agricultural and Food Economics, 5: 10–21.
 
46.
Koester L., Cramon-Taubadel S. von (red.) [2021], Agrarpreisbildung. Theorie und Anwendung, SpringerGabler, Wiesbaden.
 
47.
Lapkins A. [2019], Combining grants and financial instruments, fi-compass.
 
48.
Lim C. R., Jeong H. J., Lim S. S., Chung W. H. [2018], An analysis of the effects of direct rice income by farm typology, Korean Journal of Agricultural Management and Policy, 45: 567–588.
 
49.
De Mey, Winsen F. van, Wauters E., Vancauteren M., Lauwers L., Van Passel S. [2014], Farm-level evidence on risk balancing behavior in the EU-15, Agricultural Finance Review, 74 (1): 17–37.
 
50.
Murinde V., Eng F. S. H. [1994], Financial development and economic growth in Singapore: demand-following or supply-leading?, Applied Financial Economics, 4 (6): 391–404.
 
51.
Nitta A., Yamamoto Y., Severini S., Kondo K., Sawauchi D. [2022], Effects of direct payments on rice income variability in Japan, Australian Journal of Agricultural Resource Economics, 66 (1): 118–135.
 
52.
Pawłowska-Tyszko J. (red.) [2014], Dochody gospodarstw rolniczych a konkurencyjność systemu podatkowego i ubezpieczeniowego, IERiGŻ-PIB, Warszawa.
 
53.
PROW [2014–2020], Program Rozwoju Obszarów Wiejskich 2014–2020, Ministerstwo Rolnictwa i Rozwoju Wsi, https://www.gov.pl/web/rolnict... (dostęp: 18.01.2023).
 
54.
Regami M., Featherstone M. A., Cowley A. C., Taylor R. M. [2021], Big Banks versus Agricultural Banks: Has too big-to-fail Regulation Affected Efficiency and Scale Economics Measures?, American Journal of Agricultural Economics, 103: 1164–1178.
 
55.
Rehman A., Chandio A. A., Hussain I. et al. [2017], Is credit the devil in agriculture? The role of credit in Pakistan’s agricultural sector, Journal of Finance and Data Science, 3: 38–44.
 
56.
Roe B., Seldon I. [2007], Credence Good Labeling: The Efficiency and Distributional Implications of Several Policy Approaches, American Journal of Agricultural Economics, 89 (4): 1020–1033.
 
57.
Sarker R., Phon T., Lee N. Y., Weersink A. [2022], Business Risk Management Program and risk-balancing in Ontario hog sector: An empirical analysis, Canadian Journal of Agricultural Economics, 70 (4): 287–304.
 
58.
Sauer J. A. [2023], Characterising farming resilience capacities: An example of crop farms in the United Kingdom, OECD Food, Agriculture and Fisheries Papers No. 195, OECD Publishing, Paris.
 
59.
Severini S., Tantari A., Di Tommaso G. [2017], Effect of agricultural policy on income and revenue risks in Italian farms, Agricultural Finance Review, 77: 295–311.
 
60.
Skwirowski P. [2024a], Bez gwarancji BGK wiele firm z sektora rolnego miałoby dodatkowe kłopoty, Rzeczpospolita, 124: A.22.
 
61.
Skwirowski P. [2024b], Dobre półrocze leasingu. Będzie kolejny rekord?, Rzeczpospolita, 191: 14.
 
62.
Slovic P., Fischhoff B. [1982], Targeting Risks, Risk Analysis, 2: 227–234.
 
63.
U. S. Department of Agriculture, Economic Research Service [2022], Farm Sector Income & Finances: Assets, Debt, and Wealth.
 
64.
Vigani M., Berry R. [2018], Farm economic resilience, land diversity and environmental uncertainty, 30th International Conference of Agricultural Economists, Vancouver.
 
65.
Volkov A., Žičkiené A., Morkunas M., Baležentis T., Ribašauskiené E., Streimikiere D. [2021], A multi-criteria approach for assessing the economic resilience of agriculture: The case of Lithuania, Sustainability, 13 (2370): 1–16.
 
66.
Wendt J. F. [2022a], Ein zweidimensionaler Rating – und Scoring – Ansatz zur Messung der ökonomischen Resilienz von landwirtschaftlichen Betrieben, Berichte über Landwirtschaft, 1 (100): 1–33.
 
67.
Wendt J. F. [2022b], Die ökonomische Resilienz von Ackerbaubetrieben zur Umsetzung der GAP – Reform ab 2023, Berichte über Landwirtschaft, 2 (100): 1–41.
 
68.
West C. S., Mugera W. A., Kingwell S. R. [2021], Drivers of farm business capital structure and its speed of adjustment: evidence from Western Australia’s Wheatbelt, Australian Journal of Agricultural and Resource Economics, 65 (2): 391–412.
 
69.
Wilde G. J. S. [1982], The Theory of Risk Homeostasis: Implications for Safety and Health, Risk Analysis, 2: 209–225.
 
70.
Wohlin C. [2007], Guidelines for Snowballing in Systematic Literature Studies and Replication in Software Engineering, Technical Report EBSE-2007-01, School of Computer Science and Mathematics, Keele University.
 
71.
Wohlin C. [2014], Guidelines for Snowballing in Systematic Literature Studies and a Replication in Software Engineering, Blekinge Institute of Technology SE – 37179, Karlskrona Sweden.
 
72.
Wohlin C., Kalinowski M., Romero Felizardo K., Mendes E. [2022], Successful Combination of Database Search on Snowballing for Identification of Primary Studies in Systematic Literature Studies, Information and Software Technology, 147.
 
73.
World Bank [2024], Climate-Smart Agriculture, https://www.worldbank.org/en/t... (dostęp: 1.09.2024).
 
74.
Zhang M., Sexton J. R. [2002], Optimal Commodity Promotion When Downstream Markets Are Imperfectly Competitive, American Journal of Agricultural Economics, 84 (2): 352–365.
 
75.
Zhao J., Barry P. J., Katchova A. L. [2008a], Signaling Credit Risk in Agriculture: Implications for Capital Structure Analysis, Journal of Agricultural and Applied Economics, 40 (3): 805–820.
 
76.
Zhao J., Barry R. J., Schnitkey G. [2008b], Financing strategies under combined capital structure theories: a farm level simulation analysis, Agricultural Finance Review, 68 (2): 321–338.
 
eISSN:2300-5238
Journals System - logo
Scroll to top