Determinants of spice exports in India: A panel data regression analysis

Determinants of spice exports in India

Authors

  • M Vilasini School of Arts and Science, VMRF, Chennai
  • S Gopalsamy Department of International Business, Alagappa University, Karaikudi - 630004, Tamil Nadu

DOI:

https://doi.org/10.25081/josac.2025.v34.i1.9777

Keywords:

Spice export, panel regression, supply-side, demand-side

Abstract

This study aims to investigate the determinants of spices namely pepper, cinnamon and clove exports in India using panel data regression analysis, with a focus on the impact of distance, population size, exchange rate of the importing country and import value and volume of the spice imported by India. The secondary data was collected for a period of ten years (2012–2021) and analyzed among the five major spice export markets of India. Our findings suggest that total export volume, exchange rate, and distance between exporting and importing countries have a positive and significant effect on spice exports, while an importing country’s population size has a negative impact. Overall, the study provides insights into the factors that determine spice exports. Our finding may have implications for policymakers, setting export prices, and developing a refined strategy for spice exports from India.

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References

Abdullahi NM, Aluk & Huo X 2021 Determinants, efficiency and potential of agri-food exports from Nigeria to the EU: Evidence from the stochastic frontier gravity model. Agric. Econ. (Czech Republic) 67(8): 337–349. https://doi.org/10.17221/15/2021-AGRICECON

Abolagba EO, Onyekwere NC, Agbonkpolor BN & Umar HY 2010 Determinants of agricultural exports. J. Hum. Ecol. 29(3): 181–184. https://doi.org/10.1080/09709274.2010.11906261

Ball RJ & Linnemann H 1967 An econometric study of international trade flows. Econ. J. 77(306): 366. https://doi.org/10.2307/2229319

Bekele WT & Mersha FG 2019 A dynamic panel gravity model application on the determinant factors of Ethiopia’s coffee export performance. Ann. Data Sci. 6(4): 787–806. https://doi.org/10.1007/s40745-019-00198-4

Bui THH & Chen Q 2017 An analysis of factors influencing rice export in Vietnam based on gravity model. J. Knowl. Econ. 8(3): 830–844. https://doi.org/10.1007/s13132-015-0279-y

Darshani MMG, De Silva N & Ekanayake HKJ 2020 Determinants of export performances of Sri Lankan spices. Uva Wellassa Univ. Sri Lanka.

Daulika P, Peng KC & Hanani N 2020 Analysis on export competitiveness and factors affecting natural rubber export price in Indonesia. Agric. Soc. Econ. J. 20(1): 39–44. https://doi.org/10.21776/ub.agrise.2020.020.1.6

Eshetu F & Mehare A 2020 Determinants of Ethiopian agricultural exports: A dynamic panel data analysis. Rev. Market Integr. 12(1–2): 70–94. https://doi.org/10.1177/0974929220969272

FAO 2020 Global spice consumption statistics (as cited in Helgi Library, n.d.). Retrieved March 3, 2023, from https://www.helgilibrary.com/charts/which-country-eats-the-most-spice

Gachena D, Haji J, Legesse B & Ketema M 2020 Determinants of export performances of major spices (turmeric and korarima) in Ethiopia. East Afr. J. Sci. 14(2).

Gunduz FF, Özlem A & Gündüz S 2020 Determination of the factors affecting cotton export of Turkey: A panel gravity model approach. The Academic Elegance 13: 547-564

Hayat MM & Khatoon R 2021 Determinants of Basmati exports from Pakistan: A panel data analysis. J. Econ. Impact 3(1): 12–18. https://doi.org/10.52223/JEI3012102

Kiani A, Muhammad H & Siddique A 2018 Determinants of agricultural exports of Pakistan: An application of gravity model. Dialogue 8(4): 467–478.

Krugman P 1980 Scale economies, product differentiation, and the pattern of trade. Am. Econ. Rev. 70(5): 950–959.

Pöyhönen P 1963 A tentative model for the volume of trade between countries. Weltwirtschaftliches Arch. 90: 93–100.

Sachitra V & Chong S 2015 Enhancing competitive advantage of Sri Lankan minor export crops. J. Glob. Econ. Manage. Bus. Res. 4(4): 185–194.

Salette G & Tinbergen J 1965 Shaping the world economy: Suggestions for an international economic policy. Rev. Écon. 16(5): 840. https://doi.org/10.2307/3498790

Sharma C 2020 Exchange rate volatility and exports from India: A commodity-level panel data analysis. J. Financ. Econ. Policy 12(1): 23–44. https://doi.org/10.1108/JFEP-11-2018-0157

Supriana T & Yanti CW 2013 Prospect of Indonesia black and white peppers export. Econ. J. Emerg. Mark. 5(1): 1–14. https://doi.org/10.20885/ejem.vol5.iss1.art1

Tesfaye E 2014 Determinants of agricultural export in Sub-Saharan Africa: Evidence from panel study. Am. J. Trade Policy 1(2): 62–70. https://doi.org/10.18034/ajtp.v1i2.364

Vijith Krishnan K 2016 Impact of non-tariff barriers on Indian exports: An econometric analysis. J. Trop. Agric. 54(2): 144–152.

Wardani MA, Mulatsih S & Rindayati W 2018 Competitiveness and factors affecting Indonesian food industry’s export to Regional Comprehensive Economic Partnership. Etikonomi 17(2): 185–198. https://doi.org/10.15408/etk.v17i2.7239

Yogesh M & Mokshapathy S 2013 Production and export performance of black pepper. Int. J. Humanit. Soc. Sci. Invention 2(4): 36–44.

Published

12-11-2025

How to Cite

Vilasini, M., & Gopalsamy, S. (2025). Determinants of spice exports in India: A panel data regression analysis: Determinants of spice exports in India. Journal of Spices and Aromatic Crops, 34(1), 72–80. https://doi.org/10.25081/josac.2025.v34.i1.9777