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The Asymmetric Effects of Agricultural Policy Support on Agricultural Employment in Türkiye: A NARDL Approach

Year 2025, Volume: 12 Issue: 3, 812 - 831, 23.07.2025
https://doi.org/10.30910/turkjans.1715210

Abstract

The agricultural sector is recognized as one of the primary economic pillars of Türkiye, contributing significantly to employment, GDP, and export revenues. However, the proportion of the workforce employed in agriculture has been diminishing in conjunction with the growth of the industrial and service sectors. Despite this long-term decline, annual fluctuations in the absolute value of agricultural employment suggest that the sector functions as a stabilizing factor, mitigating the impact of general labor market fluctuations and exhibiting high sensitivity to short-term changes in profitability and support policies. To support this sector, the government implements various policy instruments, including direct payments, input subsidies, and investment incentives. The extant literature suggests that the effects of these subsidies on employment exhibit a complex and paradoxical pattern. The promotion of capital-intensive technologies, the absence of direct employment effects associated with decoupled payments, and the consolidation of large-scale farms are the main mechanisms through which these interactions occur. It has been emphasized that reducing support could lead to more abrupt and disproportionate declines in employment, particularly by driving less efficient farms out of the sector. This reflects a downward asymmetry. In this context, the study analyzed the short- and long-term asymmetric effects of agricultural policy support, as measured by the OECD Producer Support Estimate (PSE) index, on agricultural employment levels in Türkiye. The dataset used for this study consists of annual time series data on agricultural employment, PSE, agricultural credit volume, agricultural product exports and imports, and the share of agriculture in gross domestic product (GDP) from 1986 to 2023. This data was obtained from the TurkStat, SBB, TBB, and OECD databases. The asymmetric relationships are tested using the NARDL cointegration methodology, which is a non-linear lag distributed autoregressive approach. According to the findings, positive shocks in PSE and agricultural credits significantly and positively affect employment in the long run, while positive shocks in agricultural exports negatively affect employment. Conversely, negative shocks to the share of agriculture in GDP increase employment, confirming the sector's "employment buffer" function. Long-run asymmetry is found in PSE and agricultural credits. In the short run, negative shocks to agricultural exports negatively impact employment, while positive shocks to agricultural credit have a negative lagged effect on employment. However, positive shocks to the share of agriculture in GDP increase employment in the short run. Short run asymmetry is observed for export and GDP share variables, but no significant asymmetry is found for PSE. Accordingly, the study suggests that policymakers adopt a multidimensional approach to agricultural subsidies that considers not only the amount, but also the design, orientation, and implementation context. The development of mechanisms that safeguard rural employment and promote alternative employment opportunities is of critical importance. It is recommended that flexible support and credit instruments be designed to target vulnerable groups in the face of short-term negative shocks, with priority given to labor-intensive subsectors and rural diversification initiatives. Moreover, policies aimed at facilitating transitions to non-agricultural employment—such as vocational training programs and support for local entrepreneurship—should be strengthened.

References

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Year 2025, Volume: 12 Issue: 3, 812 - 831, 23.07.2025
https://doi.org/10.30910/turkjans.1715210

Abstract

References

  • Ahearn, M. C., El-Osta, H., & Dewbre, J. (2006). The impact of coupled and decoupled government subsidies on Off-farm labor participation of U.S. farm operators. American Journal of Agricultural Economics, 88(2), 393–408.
  • Akça, H., & Altuntaş, H. (2022). Tarımsal desteklerin tarımsal çıktı üzerine etkisi: Türkiye için amprik bir analiz. Çukurova Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 31(2), 560–572. https://doi.org/10.35379/cusosbil.1125443
  • Akkoyunlu, Ş. (2024). Testing Okun’s law for Turkey (1923-2019). Studies in Economics and Econometrics, 48(2), 113–132. https://doi.org/10.1080/03796205.2024.2329876
  • Aytekin, İ. (2024). Türkiye’de sektörel istihdamın ihracat üzerindeki etkisi. Uluslararası Yönetim Akademisi Dergisi, 7(3), 803–813. https://doi.org/10.33712/mana.1576966
  • Bayramoğlu, Z., Ağızan, K., & Ağızan, S. (2021). Kamu desteklerinin tarımsal ürün piyasalarına bozucu etkisi. Journal of the Institute of Science and Technology, 11(4), 3184–3194. https://doi.org/10.21597/jist.942035
  • Bayramoğlu, Z., & Gündoğmuş, E. (2008). Türkiye ekonomisinde öne çıkan tarımsal ve tarıma dayalı sanayii alt sektörlerinin belirlenmesi. Verimlilik Dergisi, 2, 143–155.
  • Baysuğ, İ. (2017). 2014-2020 dönemi katılım öncesi yardım aracı kırsal kalkınma bileşeni (IPARD II) ın Türk tarımı açısından değerlendirilmesi. İCPESS.
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  • Blandford, D., Brunstad, R. J., Gaasland, I., & Vardal, E. (2007). Optimal agricultural policy and PSE measurement: an assessment and application to Norway. NHH Dept. of Economics Discussion Paper., 1–19.
  • Boháčková, I. (2015). Several comments on creation and use of PSE indicator within measuring of financial transfers to agricultural producers. Agris On-Line Papers in Economics and Informatics, 7(1), 21–31.
  • Brown, R. L., Durbin, J., & Evans, J. M. (1975). Techniques for testing the constancy of regression relationships over time. Journal of the Royal Statistical Society. Series B (Methodological), 37(2), 149–192.
  • Caunedo, J., & Kala, N. (2021). Mechanizing agriculture impacts on labor and productivity. Dispersion in Financing Costs and Development., 1–59.
  • Çelik, A. D. (2022). Contributions of agricultural subsidies to increase producer income in cotton and milk productions: A case study of Hatay Province-Turkey. The Philippine Agricultural Scientist, 105(1), 92–99.
  • Chalajour, M., & Nashroodkoli, P. S. (2022). A review and analysis of agricultural support policies in OECD countries (1995-2015). International Journal of Health Sciences, 6(S1), 12685–12708. https://doi.org/10.53730/ijhs.v6nS1.8185
  • Çiçen, Y. B. (2022). 2000’li yıllarda Türkiye’de emek piyasasında gelişmeler: Karşılaştırmalı bir analiz. The Journal of International Scientific Researches, 7(3), 260–281. https://doi.org/10.23834/isrjournal.1150218
  • Dall’erba, S., & van Leeuwen, E. (2006). Does agricultural employment benefit from EU support? 46th Congress of the European Regional Science Association (ERSA).
  • Demirdöğen, A. (2020). Döviz kurundaki değişimin OECD tarımsal destek göstergeleri ile ilişkisi: Türkiye örneği. Tarım Ekonomisi Araştırmaları Dergisi, 6(2), 74–85.
  • Demirdöğen, A., Olhan, E., & Chavas, J.-P. (2016). Food vs. fiber: An analysis of agricultural support policy in Turkey. Food Policy, 61, 1–8. https://doi.org/10.1016/j.foodpol.2015.12.013
  • Demirdogen, A., Olhan, E., & Hasdemir, M. (2022). Heterogeneous impact of agricultural support policies: Evidence from Turkey. Environment, Development and Sustainability, 24(10), 12203–12225. https://doi.org/10.1007/s10668-021-01941-9
  • 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(366), 427–431. https://doi.org/10.2307/2286348
  • Ding, G., Fan, H., Li, R., Wang, H., & Xi, X. (2024). Agricultural imports, labor mobility and welfare (SSRN Scholarly Paper 5041835). Social Science Research Network. https://doi.org/10.2139/ssrn.5041835
  • Erhalim, S. (2011). Türkiye’de tarım sektöründe istihdamın azalması ve işgücü piyasasına etkisi [Yüksek Lisans Tezi]. Dokuz Eylül Üniversitesi, Sosyal Bilimler Enstitüsü.
  • Eslami, M. R., & Sherafatmand, H. (2013). The impact of producer support estimate (PSE) on the productivity: Evidence from Maize production. International Journal of Agronomy and Plant Production, 4(6), 1271–1280.
  • FAO. (2025). Türkiye at a glance. https://www.fao.org/turkiye/fao-in-turkiye/turkey-at-a-glance/en/ Accessed 17 May 2025
  • Garrone, M., Emmers, D., Olper, A., & Swinnen, J. (2019). Jobs and agricultural policy: Impact of the common agricultural policy on EU agricultural employment. Food Policy, 87, 101744. https://doi.org/10.1016/j.foodpol.2019.101744
  • Gebeyehu, L., & and Bedemo, A. (2024). How agricultural credit and subsidies impact agricultural productivity in Ethiopia: Empirical evidence using ardl model. Cogent Food & Agriculture, 10(1), 2329118. https://doi.org/10.1080/23311932.2024.2329118
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Details

Primary Language English
Subjects Agricultural Economics (Other)
Journal Section Research Article
Authors

Zekiye Şengül Abedı 0000-0002-2496-2867

Publication Date July 23, 2025
Submission Date June 5, 2025
Acceptance Date July 1, 2025
Published in Issue Year 2025 Volume: 12 Issue: 3

Cite

APA Şengül Abedı, Z. (2025). The Asymmetric Effects of Agricultural Policy Support on Agricultural Employment in Türkiye: A NARDL Approach. Turkish Journal of Agricultural and Natural Sciences, 12(3), 812-831. https://doi.org/10.30910/turkjans.1715210