Open Access

An Empirical Analysis of the Relationship Between Agricultural Revenue and Tax Burden

1 Siirt University, Kurtalan Vocational School, Public Finance Program, Siirt

Abstract

The concept of total tax burden, derived by calculating the ratio of all taxes collected within a specific period to the Gross National Product (GNP), serves as a key indicator of a country's level of development and its fiscal policies. Agricultural revenue holds a significant position within the GNP. Another critical point is the scale of taxes generated from agricultural production. This study aims to empirically analyze the relationship between the tax burden and agricultural revenue. For this purpose, data from the Turkish economy covering the period from 1965 to 2022 has been utilized. The empirical analysis reveals a long-term cointegrated relationship between the series. According to the coefficient estimators, it was found that, for the period covered by the study, there is an inverse relationship between the tax burden and agricultural revenue. In other words, increases in the tax burden have been shown to decrease agricultural revenue.

Keywords

How to Cite

AY, Şahin. (2024). An Empirical Analysis of the Relationship Between Agricultural Revenue and Tax Burden. ISPEC Journal of Agricultural Sciences, 8(4), 1127–1133. https://doi.org/10.5281/zenodo.14059260

References

📄 Çelik, S., Künç, S., Acar, S., 2020. Elektrik tüketimi ve ekonomik büyüme ilişkisinin analizi: Türkiye üzerine ampirik bir inceleme. Güncel Makroekonomik Sorunlar (Ed: Ş. Taş), Gazi Kitap Evi, Ankara.
📄 Çelik, S., Ünlü, A., Künç, S., 2022. Teknolojik gelişme ve ekonomik büyüme ilişkisinin incelenmesi: Türkiye üzerine ampirik bir uygulama (Ed: Ş.M. Koşaroğlu), Orion Akademi, Ankara.
📄 Çelikay, F., 2020. Dimensions of tax burden: a review on OECD countries. Journal of Economics, Finance and Administrative Science, 25(49): 27-43.
📄 Çiçek, H., 2006. Psikolojik ve sosyal yönden yükümlülerin vergiye karşı tutum ve tepkileri, Yayınlanmamış Doktora Tezi, İstanbul Üniversitesi Sosyal Bilimler Enstitüsü, İstanbul.
📄 Dickey, D., Fuller, W., 1981. Likelihood ratio statistics for autoregressive time series with a Unit Root. Econometrica, 49(4): 1057–1072.