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The Impact of Non-Tariff Measures on Sri Lankan Tea Trade: A Bayesian Inference of the Gravity Model

Authors:

K. R. H. M. Ranjan ,

Wayamba University of Sri Lanka, Makandura, Gonawila (NWP), 60170, LK
About K. R. H. M.
Department of Agribusiness Management, Faculty of Agriculture and Plantation Management
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J. C. Edirisinghe

Wayamba University of Sri Lanka, Makandura, Gonawila (NWP), 60170, LK
About J. C.
Department of Agribusiness Management, Faculty of Agriculture and Plantation Management
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Abstract

Sri Lankan tea industry is confronting the danger of losing key markets on the grounds of exceeding the Maximum Residual Levels (MRLs) in chemicals permitted by the European Union.  This study assesses the impact of Non-tariff measures on Sri Lankan tea exports because of MRLs stipulated for the pesticide, Endosulfan. This study employs a Bayesian version of the Gravity equation using a Multi-level Mixed Model, because of the additional advantages that Bayesian analysis provides. Panel data from 2003 to 2017 for fourteen prime destinations of Ceylon tea were considered for this study. The estimated coefficient of MLR for Endosulfan suggests that a 1% increase in the regulatory stringency on Endosulfan (tighter restrictions on pesticide) can result in a 0.67% (approximately US$ 8,907,708.15 in 2020) decrease and a 1% increase in the tariff rate is prompt to a 0.03% (approximately US$ 398, 852.60 in 2020) decline in the value of tea exports. Compared to the tariff, the MRL is associated with a higher impact on trade. Therefore, the negative impact of MRLs is found to outweigh the impact of import tariffs, highlighting the greater role that non-tariff measures play.
How to Cite: Ranjan, K.R.H.M. and Edirisinghe, J.C., 2020. The Impact of Non-Tariff Measures on Sri Lankan Tea Trade: A Bayesian Inference of the Gravity Model. Sri Lankan Journal of Agricultural Economics, 21(1), pp.17–39. DOI: http://doi.org/10.4038/sjae.v21i1.4637
Published on 31 Dec 2020.
Peer Reviewed

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