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The effect of agricultural trade openness on fruit prices in Korea

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  • Jun Ho Seok
  • Soo‐Eun Kim

Abstract

This study investigates the effect of agricultural trade openness on fruit prices in South Korea considering the quality improvement originating from agricultural trade policies by examining the U‐shaped relationship between agricultural openness and fruit prices. Utilising the autoregressive distributed lag (ARDL) model and annual data from the period 1988–2019, we find that while an increase of agricultural openness leads to a reduction in fruit prices, an increase of square of agricultural openness leads to a rise of fruit prices in the long‐run. In other words, our hypothesis of a U‐shaped relationship between agricultural openness and fruit prices is satisfied. This finding implies that determining the optimal amount of high‐quality fruit is important for fruit farmers' income. Additionally, Korea should divide the fruit consumer price index (CPI) into high‐quality and traditional fruit to solve the problem of an increase in fruit CPI without an actual increase in the price of traditional fruit.

Suggested Citation

  • Jun Ho Seok & Soo‐Eun Kim, 2023. "The effect of agricultural trade openness on fruit prices in Korea," Asian-Pacific Economic Literature, The Crawford School, The Australian National University, vol. 37(2), pages 165-179, November.
  • Handle: RePEc:bla:apacel:v:37:y:2023:i:2:p:165-179
    DOI: 10.1111/apel.12393
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    1. Pesaran, M.H. & Shin, Y., 1995. "An Autoregressive Distributed Lag Modelling Approach to Cointegration Analysis," Cambridge Working Papers in Economics 9514, Faculty of Economics, University of Cambridge.
    2. Harri, Ardian & Nalley, Lanier & Hudson, Darren, 2009. "The Relationship between Oil, Exchange Rates, and Commodity Prices," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 41(2), pages 501-510, August.
    3. Paul A. Dorosh & Shahidur Rashid & Joanna Asselt, 2016. "Enhancing food security in South Sudan: the role of markets and regional trade," Agricultural Economics, International Association of Agricultural Economists, vol. 47(6), pages 697-707, November.
    4. Giulio Fusco & Benedetta Coluccia & Federica De Leo, 2020. "Effect of Trade Openness on Food Security in the EU: A Dynamic Panel Analysis," IJERPH, MDPI, vol. 17(12), pages 1-13, June.
    5. Temple, Jonathan, 2002. "Openness, Inflation, and the Phillips Curve: A Puzzle," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 34(2), pages 450-468, May.
    6. Iwata, Hiroki & Okada, Keisuke & Samreth, Sovannroeun, 2010. "Empirical study on the environmental Kuznets curve for CO2 in France: The role of nuclear energy," Energy Policy, Elsevier, vol. 38(8), pages 4057-4063, August.
    7. Fleming, David A. & Abler, David G., 2013. "Does agricultural trade affect productivity? Evidence from Chilean farms," Food Policy, Elsevier, vol. 41(C), pages 11-17.
    8. Jing Zhu & Wusheng Yu & Junying Wang & Christian Elleby, 2016. "Tariff Liberalisation, Price Transmission and Rural Welfare in China," Journal of Agricultural Economics, Wiley Blackwell, vol. 67(1), pages 24-46, February.
    9. Nazlioglu, Saban & Soytas, Ugur, 2011. "World oil prices and agricultural commodity prices: Evidence from an emerging market," Energy Economics, Elsevier, vol. 33(3), pages 488-496, May.
    10. Pedro Cavalcanti Ferreira & JosÈ Luiz Rossi, 2003. "New Evidence from Brazil on Trade Liberalization and Productivity Growth," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 44(4), pages 1383-1405, November.
    11. David Romer, 1993. "Openness and Inflation: Theory and Evidence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(4), pages 869-903.
    12. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    13. Jafari Samimi, Ahmad & Ghaderi, Saman & Hosseinzadeh, Ramezan & Nademi, Younes, 2012. "Openness and inflation: New empirical panel data evidence," Economics Letters, Elsevier, vol. 117(3), pages 573-577.
    14. Ikegami, Masako & Wang, Zijian, 2016. "The long-run causal relationship between electricity consumption and real GDP: Evidence from Japan and Germany," Journal of Policy Modeling, Elsevier, vol. 38(5), pages 767-784.
    15. Chia-Hui Huang & Chih-Hai Yang, 2016. "Ownership, trade, and productivity in Vietnam’s manufacturing firms," Asia-Pacific Journal of Accounting & Economics, Taylor & Francis Journals, vol. 23(3), pages 356-371, July.
    16. Marques, António Cardoso & Fuinhas, José Alberto & Menegaki, Angeliki N., 2016. "Renewable vs non-renewable electricity and the industrial production nexus: Evidence from an ARDL bounds test approach for Greece," Renewable Energy, Elsevier, vol. 96(PA), pages 645-655.
    17. Eihab Fathelrahman & Stephen Davies & Safdar Muhammad, 2021. "Food Trade Openness and Enhancement of Food Security—Partial Equilibrium Model Simulations for Selected Countries," Sustainability, MDPI, vol. 13(8), pages 1-20, April.
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