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WTO accession and tariff evasion

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  • Javorcik, Beata S.
  • Narciso, Gaia

Abstract

This study documents some unintended consequences of the World Trade Organization (WTO) membership by providing evidence on displacement of tariff evasion driven by the WTO accession process. The analysis focuses on the WTO Customs Valuation Agreement (CVA) which limits the discretion of customs officials when it comes to assessing the price of imports. While prior to the WTO accession customs officials are free to use their own judgment or apply minimum or reference prices, after their country joined the WTO they are mandated to accept the invoice price issued by the exporter. If customs officials enjoy discretion with respect to assessing the import price, they may assist importers with tariff evasion in exchange for bribes. Removing such discretion limits their ability to facilitate misrepresentation of import prices. Using data on 15 countries which joined the WTO between 1996 and 2008, we find a positive relationship between underreporting of import prices and the tariff rate, which is expected as the incentive to evade increases with the tariff rate. Importantly, this relationship disappears after a country joins the WTO. This result is consistent with the CVA closing one channel for corrupt behavior. However, we also find that changes to customs valuation procedures induce importers to seek alternative ways of tariff evasion, such as underreporting of quantities and product misclassification. The overall level of evasion remains unchanged.

Suggested Citation

  • Javorcik, Beata S. & Narciso, Gaia, 2017. "WTO accession and tariff evasion," Journal of Development Economics, Elsevier, vol. 125(C), pages 59-71.
  • Handle: RePEc:eee:deveco:v:125:y:2017:i:c:p:59-71
    DOI: 10.1016/j.jdeveco.2016.11.001
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    3. Céline Carrère & Christopher Grigoriou, 2014. "Can Mirror Data Help To Capture Informal International Trade?," UNCTAD Blue Series Papers 65, United Nations Conference on Trade and Development.
    4. Rabah Arezki & Ana Margarida Fernandes & Federico Merchán & Ha Nguyen & Tristan Reed, 2021. "Natural Resource Dependence and Monopolized Imports," CESifo Working Paper Series 9254, CESifo.
    5. Demir, Banu & Javorcik, Beata, 2020. "Trade policy changes, tax evasion and Benford's law," Journal of Development Economics, Elsevier, vol. 144(C).
    6. Chalendard,Cyril Romain & Duhaut,Alice & Fernandes,Ana Margarida & Mattoo,Aaditya & Raballand,Gael J. R. F. & Rijkers,Bob, 2020. "Does Better Information Curb Customs Fraud?," Policy Research Working Paper Series 9254, The World Bank.
    7. Marwin Heinemann & Wojciech Stiller, 2023. "Digitalization and Cross-Border Tax Fraud: Evidence from E-Invoicing in Italy," CESifo Working Paper Series 10227, CESifo.
    8. Ronald B. Davies & Zuzanna Studnicka, 2022. "Tariff Evasion, the Trade Gap, and Structural Trade," CESifo Working Paper Series 10151, CESifo.
    9. Xinzheng Shi & Zhufeng Xu, 2023. "Export tax refund and the misreporting by Chinese exporters," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 56(4), pages 1469-1489, November.
    10. Mascagni, Giulia & Molla, Kiflu & Mengistu, Andualem, 2021. "Trade Tax Evasion and the Tax Rate: Evidence from Transaction-level Trade Data," Working Papers 16548, Institute of Development Studies, International Centre for Tax and Development.
    11. Andualem T Mengistu & Kiflu G Molla & Giulia Mascagni, 2022. "Trade Tax Evasion and the Tax Rate: Evidence from Transaction-level Trade Data," Journal of African Economies, Centre for the Study of African Economies, vol. 31(1), pages 94-122.
    12. Sébastien Jean & Cristina Mitaritonna & Antoine Vatan, 2018. "Institutions and Customs Duty Evasion," Working Papers 2018-24, CEPII research center.
    13. Beverelli, Cosimo & Ticku, Rohit, 2022. "Reducing tariff evasion: The role of trade facilitation," Journal of Comparative Economics, Elsevier, vol. 50(2), pages 534-554.
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    15. Olalere Isaac Opeyemi, 2022. "Predicting Trade Mispricing: A Gaussian Multivariate Anomaly Detection Model ," GATR Journals jber221, Global Academy of Training and Research (GATR) Enterprise.

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