Nijerya'da Kredi Politikası Ortamının Tarımsal Üretim Üzerindeki Etkisi

Yıl 2025, , 39 - 49

Sunday Brownson Akpan , Edet Jouhua Udoh , Veronica Sebastin Nkanta , Ini-mfon Vincent Patrick

https://doi.org/10.17097/agricultureatauni.1430220

Öz

Tarım sektörünün büyümesi Nijerya ekonomisinin sürdürülebilirliği için kilit bir faktördür. Ancak son dönemde bu sektörün üretimi ve verimliliği beklenenin altında kalmıştır. Ülke, daha önce büyük miktarlarda üretilen bazı mahsullerin artık net ithalatçısı konumundadır. Bu nedenle, sektörün büyümesini etkileyen faktörlerin belirlenmesi amacıyla bu çalışma, özellikle Nijerya'da tarımsal üretim endeksi yoluyla tarım sektörü büyüme göstergesi ile kredi politikası değişkenleri arasındaki ilişkiyi incelemektedir. Araştırmada, eş bütünleşmenin varlığını belirlemek için esnek otoregresif dağıtılmış gecikme (ARDL) yaklaşımı kullanılmıştır. Tahmin edilen uzun dönem ve kısa dönem modeller en iyi, çok verimli ve yanlılıktan uzak nitelikler sergilemiştir. Bulgular, ticari bankalardan alınan kredilerin ve Tarım Kredi Garanti Fonu (ACGSF)’nun uzun vadede tarım sektörünün büyümesi üzerinde önemli ve olumlu bir etki yaptığını ortaya koymuştur. Bunun aksine, tarımsal büyümenin uzun dönemde özel sektöre sağlanan yurtiçi krediler ve tarımsal kredi faiz oranıyla olumsuz bir ilişki gösterdiği tespit edilmiştir. Bu bulgu, tarım sektörüne yönelik ticari banka kredilerinin artırılmasının ve Tarım Kredi Garanti Fonu'ndan sağlanan kredi hacminin yükseltilmesinin önemini vurgulamaktadır. Ayrıca, yurtiçi özel yatırımları teşvik etmek için daha fazla mali teşvik sağlanmasının ve tarımsal kredi faiz oranlarının düşürülmesinin gerekliliğini ön plana çıkarmaktadır.

Anahtar Kelimeler

Kredi, Tarım, Üretim, Politika, Makroekonomi, Nijerya

Etik Beyan

no ethical issues

The Impact of Credit Policy Environment on Agricultural Output in Nigeria

Öz

The growth of the agriculture sector is a key factor in the survival of the Nigerian economy. However, the production and productivity of this sector have been lower than expected recently. The country is now a net importer of some crops that were previously produced in large quantities. Hence, with the aim to identify factors that influence the sector, the study specifically establishes the relationship between the agricultural sector growth proxy by the agricultural production index and the credit policy variables in Nigeria. The research utilized the flexible autoregressive distributed lag (ARDL) approach to determine the presence of co-integration. The estimated long-run and short-run models demonstrated the best, most efficient, and unbiasedness qualities. The findings revealed that loans from commercial banks and the Agricultural Credit Guarantee Scheme Fund (ACGSF) have a significant positive impact on the agricultural sector's growth in the long run. Conversely, the long-run agricultural growth exhibited a negative relationship with the domestic credit to the private sector and lending interest rate. This finding underscores the importance of boosting commercial bank loans to the agricultural sector and increasing credit volume from the Agricultural Credit Guarantee Scheme Fund. Furthermore, it highlights the necessity of introducing more financial incentives to attract domestic private investments and lowering the lending interest rate on agricultural credit within the country.

Anahtar Kelimeler

Credit, Agriculture, Production, Policy, Macroeconomics, Nigeria

Kaynakça

• Abu, O. (2017). Impact of agricultural credit guarantee scheme fund (ACGSF) on livestock production in Nigeria: evidence from historical data. Journal of Agriculture and Environment, 13(2), 1-11.
• Adewale, A. T., Lawal, O. A., Aberu, F., & Toriola, A. K. (2022). Effect of credit to farmers and agricultural productivity in Nigeria. East Asian Journal of Multidisciplinary Research, 1(3), 377-388.
• Ajayi, M. A., Nageri, K. I., & Akolo, C. S. (2017). Impact of agricultural financing policy and deposit money bank loan on agricultural sector productivity in Nigeria. Amity Journal of Agribusiness, 2(1), 1-11.
• Akpan, S. B. (2020). Access and demand for credit among small scale agro-based processors in Uyo agricultural zone, Akwa Ibom State, Nigeria. Nigeria Agricultural Journal, 51(1), 132-141.
• Akpan, S. B., Edet J. U. & Inimfon V. P. (2016). Sustaining Small Scale Farming: Evidence of Poverty and income Disparity among Rural Farming Households in South-South Region of Nigeria. Траектория науки, 2(9), 5-5.
• Akpan, S. B., Inimfon V. P., Samuel J. U., Edem A. O., and Uwemedimo E. O. (2013). Determinants of Credit Access and Demand among Poultry Farmers in Akwa Ibom State, Nigeria. American Journal of Experimental Agriculture, 3(2), 293-307.
• Akpan, S. B., Obot, U. A. D., & Essien, U. A. (2012). Government agricultural credit policy and macroeconomic fundamentals: A case study of agricultural credit guarantee scheme fund in Nigeria. Public Policy and Administration Research, 2(2), 61-75.
• Akpan, S. B., Uwemedimo E. O. & Ima-abasi S. A. (2019). Poverty coping strategies of oil palm farmers in Akwa Ibom State, Nigeria. Nigerian Journal of Agriculture, Food and Environment, 15(1), 20-30. Akpan, S., Nkanta, V. S., & Udoh, E. (2023). Farm Labour Preferences among Small-scale Arable Crop Farmers in Akwa Ibom State, Southern Nigeria. Muş Alparslan University Journal of Agriculture and Nature, 3(2), 77-90. doi.org/10.59359/maujan.1264820.
• Akpan, U. A., Udo, E. J., & Akpan, S. U. (2014). Analysis of loan default among agricultural credit guarantee scheme (ACGS) loan beneficiaries in Akwa Ibom State, Nigeria. African Journal of Agricultural Economics and Rural Development, 2(2), 121-128.
• Ameh, M., & Lee, S. H. (2022). Determinants of loan acquisition and utilization among smallholder Rice Producers in Lagos State, Nigeria. Sustainability, 14(7), 3900.https://doi.org/10.3390/su14073900.
• Anetor, F., Ogbechie, C., Kelikume, I., & Ikpesu, F. (2016). Credit supply and agricultural production in Nigeria: a vector autoregressive (VAR) approach. Journal of Economics and Sustainable Development, 7(2). Available at SSRN: https://ssrn.com/abstract=2735124.
• Anyanwu, C. A. (2010). An Overview of Current Banking Sector Reforms and the Real Sector of the Nigerian Economy, Central Bank of Nigeria CBN Economic and Financial Review, 48(4), 31-57.
• Asekome, M., & Ikoje, S. (2018). An Empirical Investigation on Impact of Interest Rates on Agricultural Investment in Nigeria. Journal of Economics and Business, 1(1), 71-82. DOI: 10.31014/aior.1992.01.01.7.
• Asom, S. T., Ewuruje, A., Ijirshar, V. U., & Ogoda, S. I. (2023). Impact of informal credit on output of small scale farmers in Nigeria. Journal of Public Administration, Finance and Law, 27, 38-57. doi.org/10.47743/jopafl-2023-27-03.
• Assogba, P. N., Kokoye, S. E. H., Yegbemey, R. N., Djenontin, J. A., Tassou, Z., Pardoe, J., & Yabi, J. A. (2017). Determinants of credit access by smallholder farmers in North-East Benin. Journal of Development and Agricultural Economics, 9(8), 210-216. DOI: 10.5897/JDAE2017.0814.
• Awopegba, O. E., Afolabi, J. O., Adeoye, L. T., & Akpokodje, G. O. (2022). Effect of Monetary Policy Rate on Market Interest Rates in Nigeria: A Threshold and NARDL Approach. CBN Journal of Applied Statistics, 13(1), 93-121.
• Balana, B. B., & Oyeyemi, M. A. (2022). Agricultural credit constraints in smallholder farming in developing countries: Evidence from Nigeria. World Development Sustainability, 1, 100012. https://doi.org/10.1016/j.wds. 2022.100012.
• Beck, T., & Demirguc-Kunt, A. (2006). Small and medium-size enterprises: Access to finance as a growth constraint. Journal of Banking & finance, 30(11), 2931-2943.
• Central Bank of Nigeria (CBN) (2022). Monetary, Credit, Foreign Trade and Exchange Guidelines for Fiscal Year 2022/2023. Available at: https://www.cbn.gov.ng/. Central Bank of Nigeria (CBN) (2023). Statistical bulletin. Available at: www.cbn.gov.ng/documents/statbulletin.asp
• Dickey, D. A., & Fuller, W. A. (1979). Distribution of the estimators for autoregressive time series with a unit root. Journal of the American statistical association, 74(366a), 427-431.
• Elliott, G., Rothenberg, T. J., & Stock, J. H. (1992). Efficient tests for an autoregressive unit root. Econometrica, 64, 813-836.
• Emenuga, P. E. (2019). Effect of commercial banks’ credit on agricultural productivity in Nigeria. Acta Universitatis Danubius. Œconomica, 15(3), 417-428.
• Engle, R. F., & Granger, C. W. (1987). Co-integration and error correction: representation, estimation, and testing. Econometrica, 55, 251-276.
• Enilolobo, O. S., & Ode-Omenka, L. C. (2018). The impact of credits on agricultural output in Nigeria. International Journal of Economics, Commerce and Management, 6(12), 232-247. FAO, 2024. Nigeria: Agricultural inputs survey, round 1, DIEM – Data in Emergencies Monitoring report, July 2024. Rome. https://doi.org/10.4060/cd1586en.
• Harris, R. & Sollis, R. (2003). Applied Time Series Modeling and Forecasting. Wiley, West Sussex.
• Iliyasu, A. S. (2019). An empirical analysis of the impact of interest rate on agriculture in Nigeria. Journal of Economics and Sustainable Development, 10(22), 106-112.
• Jeiyol, E. N., Akpan, S. B., & Tee, T. N. (2013). Gender analysis of access to credit by rural small scale farmers in Benue State Nigeria. American International Journal of Social Science, 2(6), 70-78.
• Johansen, S., & Juselius, K. (1990). Maximum likelihood estimation and inference on cointegration—with appucations to the demand for money. Oxford Bulletin of Economics and statistics, 52(2), 169-210.
• Manyong, V. M., Ikpi, A., Olayemi, J. K., Yusuf, S. A., Omonona, B. T., Okaruwa, V., & Idachaba, F. S. (2005). Agriculture in Nigeria: Identifying opportunities for increased commercialization and investment. International Institute of Tropical Agriculture (IITA), Ibadan, Nigeria, 159.
• Mbutor, O. M., Ochu, R. E. & Okafor, I. I. (2013). The Contribution of Finance to Agricultural Production in Nigeria. Central Bank of Nigeria. Economic and Financial Review. 51(2), 1-20.
• Mohsin, A. Q., Ahmad, S., & Anwar, A. (2011). Impact of supervised agricultural credit on farm income in the Barani Areas of Punjab. Pakistan Journal of Social Sciences, 31(2), 241-250.
• Nnamocha, P. N., & Eke, C. N. (2015). Bank credit and agricultural output in Nigeria (1970–2013): An error correction model (ECM) approach. British Journal of Economics, Management & Trade, 10(2), 1-12.
• Olomola, A. S., & Yaro, M. (2015). Commercial banks’ response to government’s financial stimulus for improved agricultural financing in Nigeria. Abuja: International Food Policy Research Institute (IFPRI). National Strategy Support Programme II Working Paper, 28. http://ebrary.ifpri.org/cdm/ref/collection/p 15738coll2/id/129209.
• Oyelade, A. O. (2019). Impact of commercial bank credit on agricultural output in Nigeria. Review of Innovation and Competitiveness: A Journal of Economic and Social Research, 5(1), 5-20.
• Pesaran, M. H., & Shin, Y. (1995). An autoregressive distributed lag modelling approach to cointegration analysis (Vol. 9514, pp. 371-413). Cambridge, UK: Department of Applied Economics, University of Cambridge.
• Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of applied econometrics, 16(3), 289-326.
• Salisu, T. Q., & Alamu, O. K. (2023). Effect of bank lending on agricultural output in Nigeria from 1981 – 2021 (Auto-regresive Distribution Approach). Research Square (Research Square). https://doi.org/10.21203/rs.3.rs-3235799/v1
• Sanchi, I. D., Alhassan, Y. J., & Sabo, A. Y. (2022). Rising Costs of Farm Inputs and its Implication on 2022 Wet Season Farming in Northwest sub region of Nigeria. Direct Research Journal of Agriculture and Food Science, 10(5), 144-150.
• Udoka, C. O., Mbat, D. O., & Duke, S. B. (2016). The effect of commercial banks’ credit on agricultural production in Nigeria. Journal of Finance and Accounting, 4(1), 1-10.
• Umoren, A. A., Eyo, E. O., & Akpan, S. B. (2018). Investigating the nexus between Non-Performing Loans in the Nigerian Banking System and Lending to Micro-Small Medium Enterprises. International Journal of Contemporary Research and Review, 9(6), 20778-20791.