Extensive margin effects following the Japan-EU free trade agreement: analysing future developments in the agri-food sector

Authors

DOI:

https://doi.org/10.51599/are.2024.10.04.01

Keywords:

Europe, Japan, agricultural trade, extensive margin, EU-Japan Free Trade Agreement.

Abstract

Purpose. This study develops a model to predict and analyse the potential impacts of the Japan-EU Free Trade Agreement (JEFTA) on EU-Japan agri-food trade by focusing on the extensive margin of trade. The model identifies emerging and disappearing trade flows and evaluates their implications for the future total trade volume between the two regions. This was done in order to obtain trade volume predictions that are more disaggregated for agri-food products than in previous studies.

Methodology / approach. The extensive margin model by Felbermayr and Kohler (2010) is used in conjunction with an econometric gravity trade model to create a new two-step forecast procedure. This procedure can be used to predict the emergence of new trade flows between the two countries, as well as their disappearance.

Results. Aggregate changes in the extensive margin appear modest, but significant changes occur when new and disappearing trade flows are being considered separately. Overall, EU agri-food exports to Japan are predicted to increase by USD 2127 million by 2038. When emerging and disappearing trade flows are expressly considered, the predicted increase of EU agri-food exports is USD 7 million lower. Behind this overall change in the forecast is a much greater change at the level of individual trade flows: emerging trade flows are estimated to contribute USD 112 million in new exports to Japan by 2038, while disappearing trade flows total to USD 119 million. The majority of these changes are characterised by trade flows of less than USD 50,000 each.

Originality / scientific novelty. This study presents a methodological advancement in trade forecasting by integrating the extensive margin model by Felbermayr and Kohler (2010) with an econometric gravity trade model in a two-step prediction process for the Japan-EU Free Trade Agreement. Detailed findings on emerging and disappearing trade flows indicate that previous forecasts based on more aggregate data may overlook crucial developments at the level of individual agri-food products.

Practical value / implications. The findings emphasise the importance of considering the extensive margin in FTA evaluations. Policymakers and firms may misjudge trade opportunities without accounting for new and disappearing trade flows, highlighting the need for comprehensive sectoral trade strategies.

References

Amurgo-Pacheco, A., & Pierola, M. D. (2008). Patterns of export diversification in developing countries: intensive and extensive margins. Policy Research Working Papers, No. 4473. World Bank, Washington, DC. https://doi.org/10.1596/1813-9450-4473.

Anderson, J. E. (1979). A theoretical foundation for the gravity model. The American Economic Review, 69(1), 106–116. https://www.jstor.org/stable/1802501.

Anderson, J. E., & van Wincoop, E. (2003). Gravity with gravitas: a solution to the border puzzle. The American Economic Review, 93(1), 170–192. https://doi.org/10.1257/000282803321455214.

Baier, S. L., Bergstrand, J. H., & Feng, M. (2014). Economic integration agreements and the margins of international trade. Journal of International Economics, 93(2), 339–350. https://doi.org/10.1016/j.jinteco.2014.03.005.

Baldwin, J., & Beiling, Y. (2012). Market expansion and productivity growth: do new domestic markets matter as much as new international markets? Journal of Economics & Management Strategy, 21(2), 469–491. https://doi.org/10.1111/j.1530-9134.2012.00330.x.

Berndt, M., Boysen-Urban, K., Ehjeij, S., Espey, A., Feuerbacher, A., Flaig, D., Heimann, T., … & Wieck, C. (2022). Implications of Russia’s war in Ukraine for the global agri-food sector – an ex-ante assessment using different simulation models. German Journal of Agricultural Economics, 71(3), 134–149. https://doi.org/10.30430/gjae.2022.0310.

Conte, M., Cotterlaz, P., & Mayer, T. (2022). The CEPII Gravity database. CEPII Working Paper, No. 2022-05. Available at: https://www.cepii.fr/PDF_PUB/wp/2022/wp2022-05.pdf.

EC – European Commission (2018). The economic impact of the EU-Japan Economic Partnership Agreement. https://doi.org/10.2861/658535.

Egger, P. H. & Larch, M. (2008). Interdependent preferential trade agreement memberships: an empirical analysis. Journal of International Economics, 76(2), 384–399. https://doi.org/10.1016/j.jinteco.2008.08.003.

Farina, F. (2018). Japan’s gastrodiplomacy as soft power: global washoku and national food security. Journal of Contemporary Eastern Asia, 17(1), 152–167. https://doi.org/10.17477/jcea.2018.17.1.152.

Feenstra, R. C., & Ma, H. (2014). Trade facilitation and the extensive margin of exports. The Japanese Economic Review, 65(2), 158–177. https://doi.org/10.1111/jere.12031.

Felbermayr, G., & Kohler, W. (2010). Modelling the extensive margin of world trade: new evidence on GATT and WTO Membership. The World Economy, 33(11), 1430–1469. https://doi.org/10.1111/j.1467-9701.2010.01292.x.

Felbermayr, G., Kimura, F., Okubo, T., & Steininger, M. (2019). Quantifying the EU-Japan economic partnership agreement. Journal of the Japanese and International Economies, 51, 110–128. https://doi.org/10.1016/j.jjie.2018.12.007.

Hummels, D. & Klenow, P. J. (2005). The variety and quality of a nation’s exports. American Economic Review, 95(3), 704–723. https://doi.org/10.1257/0002828054201396.

Hsu, R. C. (1972). Changing domestic demand and ability to export. Journal of Political Economy, 80(1), 198–202. Available at: https://www.jstor.org/stable/1830145.

IMF – International Monetary Fund (2023). World economic outlook database – April 2023 edition. Available at: https://www.imf.org/en/Publications/WEO/weo-database/2023/April.

Kehoe, T. J., & Ruhl, K. J. (2013). How important is the new goods margin in international trade? Journal of Political Economy, 121(2), 358–392. https://doi.org/10.1086/670272.

Matsumoto, T., Chen, Y., Nakatsuka, A., & Wang, Q. (2020). Research on horizontal system model for food factories: a case study of process cheese manufacturer. International Journal of Production Economics, 226, 107616. https://doi.org/10.1016/j.ijpe.2020.107616.

Melitz, M. J. (2003). The impact of trade on intra-industry reallocations and aggregate industry productivity. Econometrica, 71(6), 1695–1725. https://doi.org/10.1111/1468-0262.00467.

MOFA – Ministry of Foreign Affairs of Japan (2019). Annex 2-A – tariff elimination and reduction. Available at: https://www.mofa.go.jp/ecm/ie/page4e_000875.html.

Mora, J., & Olabisi, M. (2021). Economic development and the margins of trade: are the least developed countries different? Economic Inquiry, 59(2), 600–621. https://doi.org/10.1111/ecin.12937.

Pelikan, J., & Brockmeier, M. (2008). Methods to aggregate import tariffs and their impact on modeling results. Journal of Economic Integration, 23(3), 685–708. https://doi.org/10.11130/jei.2008.23.3.685.

Pregibon, D. (1980). Goodness of link test for generalized linear models. Journal of Royal Statistical Society, 29(1), 15–23. https://doi.org/10.2307/2346405.

Ramsey, J. B. (1969). Tests for specification errors in classical linear least-squares regression analysis. Journal of the Royal Statistical Society, 31(2), 350–371. https://doi.org/10.1111/j.2517-6161.1969.tb00796.x.

Santos Silva, J. M. C., & Tenreyro, S. (2006). The log of gravity. The Review of Economics and Statistics, 88(4), 641–658. https://doi.org/10.1162/rest.88.4.641.

Santos Silva, J. M. C., & Tenreyro, S. (2011). Further simulation evidence on the performance of the Poisson pseudo-maximum likelihood estimator. Economics Letters, 112(2), 220–222. https://doi.org/10.1016/j.econlet.2011.05.008.

Scoppola, M., Raimondi, V., & Olper, A. (2018). The impact of EU trade preferences on the extensive and intensive margins of agricultural and food products. Agricultural Economics, 49(2), 251–263. https://doi.org/10.1111/agec.12413.

Stata Corp (2021). Stata base reference manual – release 17. Available at: https://www.stata-press.com/manuals/base-reference-manual.

TRAINS – Trade Analysis Information System (2020). Non-tariff measures data for researchers. Available at: https://trainsonline.unctad.org/bulkDataDownload.

UNCTAD – United Nations Conference on Trade and Development (2018). UNCTAD TRAINS: the global database on non-tariff measures. Available at: https://unctad.org/publication/unctad-trains-global-database-non-tariff-measures.

WB – World Bank (2023a). World development indicators. Available at: https://databank.worldbank.org/source/world-development-indicators.

WB – World Bank (2023b). Population estimates and projections. Available at: https://databank.worldbank.org/source/population-estimates-and-projections#.

WITS – World Integrated Trade Solution (2023). Advanced QUERY – TRADE DATa (UN Comtrade) and Bulk Download (TRAINS). Available at: https://wits.worldbank.org/WITS/WITS/Restricted/Login.aspx.

Zhang, X., Zhou, Y., Geng, X., & Tian, X. (2017). The intensive and extensive margins of China’s agricultural trade. Canadian Journal of Agricultural Economics, 65(3), 431–451. https://doi.org/10.1111/cjag.12133.

Downloads

Published

2024-12-20

How to Cite

Berndt, M., & Hess, S. (2024). Extensive margin effects following the Japan-EU free trade agreement: analysing future developments in the agri-food sector. Agricultural and Resource Economics: International Scientific E-Journal, 10(4), 5–28. https://doi.org/10.51599/are.2024.10.04.01

Issue

Section

Articles