The The Economic Determinants of Agricultural Value Added: A Panel Data Analysis on E7 Countries
DOI:
https://doi.org/10.24925/turjaf.v13i3.601-610.7445Keywords:
Agricultural Value Added, Government Expenditures, Panel ARDL Model, E7 CountriesAbstract
The agricultural sector plays a crucial role in economic growth, employment, and food security. Although E7 countries (Brazil, China, India, Indonesia, Mexico, Russia, and Turkey) hold a significant share in global agricultural production, there is limited literature on the determinants of agricultural value added. This study aims to analyze the key economic factors affecting agricultural value added in E7 countries and assess the effectiveness of agricultural policies. The study covers the period 2001-2022 and employs the Panel ARDL method to examine long-term relationships. The findings indicate that the proportion of agricultural land and agricultural employment positively impact agricultural value added, whereas government expenditures may have a negative effect. Governments intervene in the agricultural sector through both direct and indirect measures. It can be suggested that direct income support policies for farmers may have the potential to increase dependency rather than enhance productivity. Although a detailed distinction regarding the implementation of direct payments during the analyzed period could not be made, the impact of government support is likely to vary depending on the type and implementation of the assistance provided. The results emphasize the need for more effective planning of agricultural support mechanisms. Redirecting public expenditures towards infrastructure investments, agricultural technology adoption, and rural development projects could enhance the sector’s long-term sustainability. Additionally, improving the transparency and measurability of support policies may increase their effectiveness and strengthen agricultural productivity. Policymakers should conduct a more detailed analysis of the effects of different support mechanisms to develop appropriate intervention strategies.
References
Abdi, A. H., & Mohamed, A. M. (2025). Determinants of agricultural exports in Somalia: The impacts of exchange rates, foreign direct investment, and institutional quality. Cogent Economics & Finance, 13(1), 2445755. https://doi.org/10.1080/23322039.2024.2445755
Adedoyin, F. F., Bein, M. A., Gyamfi, B. A., & Bekun, F. V. (2021). Does agricultural development induce environmental pollution in E7? A myth or reality. Environmental Science and Pollution Research, 28(41869–41880). https://doi.org/10.1007/s11356-021-13586-2
Ağır, H., Türkmen, S., & Özbek, S. (2020). Finansal Kuznets Eğrisi Yaklaşımı Çerçevesinde Finansallaşma ve Gelir Eşitsizliği İlişkisi: E7 Ülkeleri Üzerine Ekonometrik Bir Tahmin. Bilgi Ekonomisi ve Yönetimi Dergisi, 15(2), 71-84.
Akyol, M. (2018). Tarımsal teşviklerle tarımsal katma değer arasındaki ilişkinin incelenmesi: Yeni endüstrileşen ülkeler için panel eşanlı denklemler sistemi analizi. The Journal of International Scientific Researches, 3(3), 226-236. https://doi.org/10.23834/isrjournal.456791
Arslan, N., & Karadaş, H. A. (2021). İşsizlik, eğitim yatırımları, gelir dağılımı ve büyümenin suça etkisi: Seçili Avrupa ülkeleri üzerine bir analiz. In A. Umut (Ed.), Ekonomi, finans ve işletme yönetimi alanında güncel gelişmeler – II (1st ed., pp. 197-213). Nobel Bilimsel Eserler.
Asteriou, D., Pilbeam, K., and Pratiwi, C. E. (2020). Public debt and economic growth: panel data evidence for Asian countries. Journal of Economics and Finance, 1-18.
Aydoğan, B., & Vardar, G. (2020). Evaluating the role of renewable energy, economic growth and agriculture on CO2 emission in E7 countries. International Journal of Sustainable Energy, 39(4), 335–348. https://doi.org/10.1080/14786451.2019.1686380
Benin, S., vd. (2007). The economic determinants of cereal crop diversity on farms in the Ethiopian highlands. Agricultural Economics, 31(2), 197-208. https://doi.org/10.1016/j.agecon.2004.09.007
Coca, O., vd. (2023). Analysis of the determinants of agriculture performance at the European Union level. Agriculture, 13(616). https://doi.org/10.3390/agriculture13030616
Czyżewski, A., Grzelak, A., & Kryszak, Ł. (2018). Determinants of income of agricultural holdings in EU countries. Proceedings of the 2018 VII International Scientific Conference Determinants of Regional Development, No 1, Pila 12-13 April 2018, 65-75. https://doi.org/10.14595/CP/01/005
Doğdu, A. (2022). G7 ve E7 Ülkelerinde GSYİH ve Yenilenebilir Enerji Üretimi İlişkisi: Toda-Yamamoto Panel Nedensellik Analizi. Toplum, Ekonomi ve Yönetim Dergisi, 3(2), 57-79.
Erdinç, Z., & Aydınbaş, G. (2021). Tarımsal katma değer belirleyicilerinin panel veri analizi. Anadolu Üniversitesi Sosyal Bilimler Dergisi, 21(1), 213-232.
Gyamfi, B. A., Onifade, S. T., Erdoğan, S., & Ali, E. B. (2023). Colligating ecological footprint and economic globalization after COP21: Insights from agricultural value-added and natural resources rents in the E7 economies. International Journal of Sustainable Development & World Ecology, 30(5), 500-514. https://doi.org/10.1080/13504509.2023.2166141
Han, A. (2022). E7 ülkelerinde yenilenebilir enerji tüketimi ve ekonomik büyümeye etkisi. Uluslararası Yönetim, İktisat ve İşletme Dergisi, 18(3), 797-814. https://doi.org/10.17130/ijmeb.1015102
Hausman, J. A. (1978). Specification Tests in Econometrics. Econometrica, 46(6), 1251–1271. https://doi.org/10.2307/1913827
Kakar, M., vd. (2016). Determinants of agricultural productivity: Empirical evidence from Pakistan’s economy. Global Economics Review, 1(1), 1-12. http://dx.doi.org/10.31703/ger.2016(I-I).01
Karadaş, H. A. (2021). Çevre kalitesi ve ekonomik büyümenin sağlık harcamalarına etkisi: Kırılgan beşli ülkeleri üzerine bir analiz. In A. Umut (Ed.), Ekonomi, finans ve işletme yönetimi alanında güncel gelişmeler – II (1st ed., pp. 177-194). Nobel Bilimsel Eserler.
Kaya, L. (2020). Türkiye ile seçilmiş ülkeler arasında tarımsal katma değer yakınsaması: Doğrusal ve doğrusal olmayan birim kök testleri. Bingöl Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 4(2), 41-60. https://doi.org/10.33399/biibfad.736598
Lee, Y. M., & Wang, K. M. (2015). Dynamic heterogeneous panel analysis of the correlation between stock prices and exchange rates. Economic research-ekonomska istraživanja, 28(1), 749-772.
Mocanu, I., vd. (2018). Regional disparities related to socio-economic determinants of agriculture in the Romanian Plain. Journal of Urban and Regional Analysis, X(1), 79-99.
Muraya, B. W., vd. (2017). Determinants of agricultural productivity in Kenya. Master’s Thesis, University of Nairobi.
Mutunga, P. M., vd. (2018). An analysis of determinants of agricultural growth in Kenya. Noble International Journal of Business and Management Research, 2(5), 32-46. http://napublisher.org/?ic=journals&id=2
Oyetade P. Oluwatoyese, Dr. Shri Dewi A/P Applanaidu, Effect of Agricultural Sector Determinants on Economic Growth. Aust. J. Basic & Appl. Sci., 8(8): 68-72, 2014
Onoja, A. O., vd. (2017). Econometric analysis of short-run and long-run determinants of agricultural value addition in Africa. Agrosearch, 17(1), 26-43. https://dx.doi.org/10.4314/agrosh.v17i1.3
Özşahin, Ş., & Güven, C. (2023). Tarım destekleri ve hükümet istikrarının tarımsal katma değer üzerine etkisi: Gelişmekte olan ülkeler için panel veri analizi. Türk Tarım ve Doğa Bilimleri Dergisi, 10(4), 791–805. https://doi.org/10.30910/turkjans.1272944
Pesaran, M.H., Shin, Y. ve Smith, R.P. (1999). Pooled mean group estimation of dynamic heterogeneous panels. Journal of the American Statistical Association, Vol. 94, No. 446, pp.621–634.
Pesaran, M. H. (2004). General diagnostic tests for cross section dependence in panels. Cambridge Working Papers. Economics, 1240(1), 1.
Sohag, K., Nabilah, A. B., & Begum, R. A. (2015). Dynamic impact of financial development on economic growth: heterogeneous panel data analysis of island economies. International Journal of Economic Policy in Emerging Economies, 8(1), 77-95.
Soyyiğit, S., & Yavuzaslan, K. (2019). Tarımsal katma değeri etkileyen faktörler üzerine bir inceleme: E7 ülkeleri örneği. Kafkas Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 10(19), 403-429. https://doi.org/10.9775/kauiibfd.2019.017
Tekin, M., & Merdivenci, F. (2022). E7 Ülkeleri ile Türkiye arasındaki dış ticaretin panel veri analizi: Çekim modeli yaklaşımı. Sosyoekonomi, 30(51), 407-426. https://doi.org/10.17233/sosyoekonomi.2022.01.20
Teshome, A., vd. (2018). Determinants of agricultural gross domestic product in Ethiopia. International Journal of Research Studies in Agricultural Sciences, 4(2), 12-20. http://dx.doi.org/10.20431/2454-6224.0402002
Tıraşoğlu, M., & Karasaç, F. (2018). Orta Gelir Tuzağı: Yapısal Kırılmalar Altında E7 Ülkeleri İçin Ampirik Bir İnceleme. Akademik İncelemeler Dergisi, 13(2), 337-361. https://doi.org/10.17550/akademikincelemeler.430713
Topçuoğlu, A., & Ayyıldız, F. V. (2020). E7 ülkelerinde kilit sektör analizi. Manas Sosyal Araştırmalar Dergisi, 9(2), 822-833. https://www.fao.org/faostat/en/#data https://databank.worldbank.org/source/world-development-indicators
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