Government spending in the agricultural sector: Optimal ratio with lending and the impact on the agricultural production
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DOIhttp://dx.doi.org/10.21511/ppm.22(3).2024.06
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Article InfoVolume 22 2024, Issue #3, pp. 67-79
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An effective government agropolicy should be balanced: To reduce the state budget pressure, it is important to reduce public spending and encourage farmers to use agricultural loans. Reducing public spending should not lead to a shortage in the agricultural market. The paper aims to substantiate the directions of government agropolicy transformation based on the optimal ratio of public expenditures and loans in the agrosector and the dependence of agroproduction dynamics on state financing. The research base is data from 10 countries with different income levels (World Bank), presented in FAOSTAT for 2004–2021. For each country, the optimal (determined by the structural modeling method) and actual proportions between state financing and lending in the agrosector are compared, adjusted for the agroproduction index. The modeling showed that the share of public funds should increase in Germany, Israel, Italy, and the UK and decrease in Azerbaijan and Georgia; the current proportion is optimal in the USA, Russia, Turkey, and Ukraine. Based on a panel regression model with fixed effects, the influence of the actual level of state agrofinancing on the FAO Production Indices of the main types of agroproducts was determined. It is the largest for crops, meat, and milk (a decrease in state funding by USD 1 million threatens to reduce the respective indices by 4.5, 3.47, and 3.79 points), medium for cereals and sugar crops (according to points 2.69 and 2.11), and the smallest for livestock and non-food products (by 1.53 and 0.001 points, respectively).
- Keywords
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JEL Classification (Paper profile tab)Q10, Q13, Q14, E60, О13
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References49
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Tables3
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Figures7
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- Figure 1. General graphic representation of the structural model
- Figure 2. First structural model
- Figure 3. Second structural model
- Figure 4. Graphic representation of the distribution of simulation residuals for the first and second structural models
- Figure 5. Graphic representation of the actual and simulated relationship between the level of government expenditure and agricultural credits in Germany, Israel, Italy, and the UK in 2004–2021, % (an increase in government spending on the agricultural se
- Figure 6. Graphic representation of the actual and simulated relationship between the level of government expenditure and agricultural credits in Azerbaijan and Georgia in 2004–2021, % (a decrease in government spending on the agricultural sector is neces
- Figure 7. Graphic representation of the actual and simulated relationship between the level of government expenditure and agricultural credits in the USA, Ukraine, Turkey, and Russian Federation in 2004–2021, % (government spending on the agricultural sec
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- Table 1. Input data description
- Table 2. Current and simulated values of the ratio between the volume of government expenditure (Govcalc) and credits (Credcalc) of the agricultural sector, %
- Table 3. Results of panel regression modeling of the relationship between the level of state financing of agriculture and key production indices of agricultural products
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- Atashov, B. (2005). Actual problems of food safety. Monograph (365 p.). Baku, Elm.
- Bhandari, M. P. (2023). The fundamental principles of social sciences. Business Ethics and Leadership, 7(2), 73-86.
- Bouchafaa, B., Kherchi-Medjden, H., & Rouaski, K. (2023). Is wheat self-sufficiency in Algeria, a myth? SocioEconomic Challenges, 7(1), 52-58.
- Brychko, M., Bilan, Y., Lyeonov, S., & Streimikiene, D. (2023). Do changes in the business environment and sustainable development really matter for enhancing enterprise development? Sustainable Development, 31(2), 587-599.
- Chikov, I., Khaietska, O., Okhtova, Yu., Titov , D., Prygotsky, V., & Nitsenko, V. (2023). Modeling of the synthetic indicator of competitiveness of agricultural enterprises: a methodological approach to the use of neural network tools. Financial and Credit Activity Problems of Theory and Practice, 5(52), 222-242.
- De, U. K. (2018). Public expenditure and agricultural production in Meghalaya, India: An application of bounds testing approach to co-integration and error correction model. Social Science Research Network.
- FAOSTAT. (n.d.). Data.
- Gentsoudi, V. (2023). The impact of effective leadership on public sector’s financial instruments: Empirical evidence from Greece. Business Ethics and Leadership, 7(2), 47-54.
- Guliyev, E. A. (2017). Global food security: Realities, callings and perspectives (352 p.). Cologne, University of Cologne.
- Hadouga, H. (2023). Leadership in agriculture: Artificial intelligence for modelling and forecasting growth in the industry. Business Ethics and Leadership, 7(3), 13-19.
- Heiko, L., & Yurochko, T. (2023). Mother’s perceptions of healthy diet for children in Ukraine. Health Economics and Management Review, 4(3), 22-33.
- Jambo, N., & Traub, L. (2023). An assessment on the impact of agricultural spending types on agricultural growth: A case for Zambia, Malawi, South Africa. Cogent Food & Agriculture, 9(1).
- Joao, M. C., & Castro, A. (2023). The impact of agricultural credit on the growth of the agricultural sector in Angola. Sustainability, 15(20), Article 14704.
- Kaya, H. D. (2023). The global crisis, government contracts, licensing and corruption. SocioEconomic Challenges, 7(4), 1-7.
- Kaya, H. D. (2023). The impact of the 2008–2009 global crisis on loan applications and access to finance. Financial Markets, Institutions and Risks, 7(2), 12-17.
- Ken, O. N. K. E., & Bidemi, O. J. (2016). Dynamic effect of government spending on agricultural output in Nigeria. The International Journal of Social Sciences and Humanities Invention.
- Khalatur, S., Kachula, S., Oleksiuk, V., Kravchenko, M., & Klymenko, S. (2023b). Anti-crisis management as a basis for the formation of a financial mechanism for the sustainable development of agricultural business. Financial and Credit Activity Problems of Theory and Practice, 5(52), 413-432.
- Khalatur, S., Velychko, O., Oleksiuk, V., Kravchenko, M., & Karamushka, D. (2023a). Financial security as a component of ensuring innovative development of agricultural production. Financial and Credit Activity Problems of Theory and Practice, 3(50), 341-356.
- Kobiyh, M., & El Amri, A. (2023). Inefficiency of financial markets and paths to the development of a modern financial theory. Financial Markets, Institutions and Risks, 7(2), 95-100.
- Kobiyh, M., El Amri A., Oulfarsi, S., & Hilmi, Y. (2023). Behavioral finance and the imperative to rethink market efficiency. Financial Markets, Institutions and Risks, 7(4), 38-53.
- Kuzior, A., & Lobanova, A. (2020). Tools of information and communication technologies in ecological marketing under conditions of sustainable development in industrial regions (through examples of Poland and Ukraine). Journal of Risk and Financial Management, 13(10), 238.
- Kuzior, A., Arefieva, O., Poberezhna, Z., & Ihumentsev, O. (2022). The mechanism of forming the strategic potential of an enterprise in a circular economy. Sustainability, 14(6), Article 3258.
- Kuzior, A., Ober, J., & Karwot, J. (2021). Stakeholder expectation of corporate social responsibility practices: A case study of PWiK Rybnik, Poland. Energies, 14(11), Article 3337.
- Kuzior, A., Postrzednik-Lotko, K. A., Smołka-Franke, B., & Sobotka B. (2023). Managing competences of Generation Y and Z in the opinion of the management staff in the modern business services sector. Sustainability, 15(7), Article 5741.
- Leonov, S., Frolov, S., & Plastun, V. (2014). Potential of institutional investors and stock market development as an alternative to households’ savings allocation in banks. Economic Annals-XXI, 11-12, 65-68.
- Lyeonov, S., Pimonenko, T., Chygryn, O., Reznik, O., & Gaynulina, R. (2021a). Green brand as a marketing instrument: Principle, features and parameters. International Journal of Global Energy Issues, 43(2-3), 147-165.
- Lyeonov, S., Vasilyeva, T., Bilan, Y., & Bagmet, K. (2021b). Convergence of the institutional quality of the social sector: The path to inclusive growth. International Journal of Trade and Global Markets, 14(3), 272-291.
- Melnyk, L., Derykolenko, O., Kubatko, O., & Matsenko, O. (2019). Business models of reproduction cycles for digital economy. CEUR Workshop Proceedings, 2393, 269-276.
- Mullens, D., & Shen, S. (2023). Sustainable and entrepreneurial: A path to performance improvements for family firms? SocioEconomic Challenges, 7(4), 54-65.
- Ngobeni, E., & Muchopa, C. L. (2022). The impact of government expenditure in agriculture and other selected variables on the value of agricultural production in South Africa (1983–2019): Vector Autoregressive Approach. Economies, 10(9), Article 205.
- Njegovanović, A. (2023). Financial evolution and interdisciplinary research. Financial Markets, Institutions and Risks, 7(1), 71-95.
- OECD. (n.d.). Agricultural Policy Monitoring and Evaluation 2022.
- Pakhnenko, O., & Kuan, Z. (2023). Ethics of digital innovation in public administration. Business Ethics and Leadership, 7(1), 113-121.
- Paspie, J., Solarte, J. G., & Balayan, A. G. (2022). Relationship between government expenditure on agriculture and agricultural production in the Republic of the Philippines.
- Rakotoarisoa, M. A., & Mapp, H. P. (2023). A non-parametric approach to determine an efficient premium for drought insurance. SocioEconomic Challenges, 7(1), 1-14.
- Ray, A. (2023). Addressing program sustainability: A time series analysis of the supplemental nutrition assistance program in the US. Business Ethics and Leadership, 7(4), 62-72.
- Richardson, K. (2023). Beekeeping role in enhancing food security and environmental public health. Health Economics and Management Review, 4(4), 69-79.
- Sineviciene, L., Kubatko, O. V., Sotnyk, I. M., & Lakstutiene, A. (2019). Economic and environmental performance of post-communist transition economies. In M. Bilgin, H. Danis, E. Demir, & U. Can (Eds.), Eurasian Economic Perspectives. Eurasian Studies in Business and Economics, 11/1. Cham: Springer.
- Singh, S. N., & Pandey, A. (2023). Accomplishing sustainable development goals in India: A systematic literature review. Financial Markets, Institutions and Risks, 7(2), 80-87.
- Sotnyk, I. M. (2012). Trends and problems in management of production and consumption dematerialization. Actual Problems of Economics, 134(8), 62-67.
- Starchenko, L., Lyeonov, S., Vasylieva, T., Pimonenko, T., & Lyulyov, O. (2021). Environmental management and green brand for sustainable entrepreneurship. E3S Web of Conferences, 234.
- Tiutiunyk, I., Cieśliński, W., Zolkover, A., & Vasa, L. (2022). Foreign direct investment and shadow economy: One-way effect or multiple-way causality? Journal of International Studies, 15(4), 196-212.
- Tiutiunyk, I., Taranenko, V., Mazurenko, O., Artyukhov, A., & Yehorova, Y. (2023). International tax competition as an element of the country’s marketing strategy. Innovative Marketing, 19(4), 297-309.
- Tomilin, O., Krasnikova, O., Gechbaia, B., Zorya, S., Drobotya, Y., & Synytsia, Y. (2023). Risk management in the agrarian sector: Financial aspect. Financial and Credit Activity Problems of Theory and Practice, 4(51), 147-162.
- Tsvetkov, V. Ya. (2012). Information situation and information position as a management tool. European Researcher. Series A, 36, 12-1, 2166-2170.
- Tsvetkov, V. Ya. (2014). Information units as the elements of complex models. Nanotechnology Research and Practice, 1(1), 57-64.
- Vasilyeva, T., Yarovenko, H., Babenko, D., Kalicheva, N., Frolova, N., & Shylovtseva, N. (2022). The barycentric model of determining the sustainable growth determinants. Heritage and Sustainable Development, 4(2), 145-164.
- Zhghenti, T. (2023). Sharing economy business models (SEBMs): A study of global archetypes and from local industries in Georgia. SocioEconomic Challenges, 7(4), 116-123.
- Zolkover, A., Tiutiunyk, I., Babenko., V., Melnychuk., M., Ivanchenkova., L., & Lagodiienko., N. (2022). The quality of tax administration, macroeconomic stability and economic growth: Assessment and interaction. Review of Economics and Finance, 20, 654-661.