Mirror Data Asymmetry in International Trade by Commodity Group : the Case of Intra-Community Trade

• Autorzy: Iwona Markiewicz , Paweł Baran
• Języki publikacji: EN

Abstrakty

EN

Research background: Transactions in international trade of goods are recorded in two sources, on the side of the seller's country and on the side of the buyer's country. The confrontation of such data makes it possible to measure their quality. An inconsistency between the data is called mirror data asymmetry.
Purpose of the article: The aim of the paper is to adapt the methods developed by the Authors to study mirror data asymmetry to commodity group markets examination. The quality of data on trade within specific commodity groups (CN chapters) in intra-Community trade was compared. The data were aggregated by country. The indicators used allow for the indication of commodity groups with high mirror data compatibility and those with data asymmetry between intra-Community supplies (ICS) and acquisitions (ICA). Moreover, the commodity groups for which the value-based and quantity-based approaches give different results have been identified.
Methods: Based on the literature on the subject and their own research, the Authors have developed a group of methods for studying the asymmetry of mirror data. The proposed indicator formulas are based on various data aggregation approaches. The research used data on intra-Community supplies and acquisitions of goods broken down into 97 chapters of the Combined Nomenclature (CN). Differences between the ICS and ICA in particular commodity groups were aggregated for all pairs of EU countries. The data comes from the Comext database, provided by Eurostat.
Findings & value added: The results of the analysis are rankings of the Combined Nomenclature (CN) chapters by the quality of data on ICS and ICA. Lists of CN chapters have been created for discrepancies both in value and weight of goods. Thus, areas of necessary intensification of the work of public statistics services to improve data reliability were identified. (original abstract)

Słowa kluczowe

EN

Trade; Information quality; Information asymmetry

PL

Handel; Jakość informacji; Asymetria informacji

• Czasopismo: Oeconomia Copernicana
• Rocznik: 2021
• Tom: 12
• Numer: nr 4
• Strony: 889--905

Twórcy

autor

Iwona Markiewicz

• University of Szczecin, Poland

autor

Paweł Baran

• University of Szczecin, Poland

Bibliografia

• Ainsworth, R. T. (2009). The morphing of MTIC fraud: VAT fraud infects tradable CO2 permits. Boston University School of Law Working Paper, 09-35.
• Asmah, E. E., Andoh, F. K., & Titriku, E. (2020). Trade misinvoicing effects on tax revenue in sub-Saharan Africa: the role of tax holidays and regulatory quality. Annals of Public and Cooperative Economics, 91(4), 649-672. doi: 10.1111/apce.12289.
• Betz, T. (2019). Tariff evasion and trade policies. International Studies Quarterly, 63(2), 380-393. doi: 10.1093/isq/sqz008.
• Bird, R. M., & Zolt, E. M. (2008). Tax policy in emerging countries. Environment and Planning C: Government and Policy, 26(1), 73-86. doi: org/10.1068/cav3.
• Carton, C, & Slim, S. (2018). Trade misinvoicing in OECD countries: what can we learn from bilateral trade intensity indices? MPRA Paper, 87695.
• Day, I. (2015). Assessing China's merchandise trade data using mirror statistics. Reserve Bank of Australia, Bulletin, December Quarter. Retrieved from https://www.rba.gov.au/publications/bulletin/2015/dec/3.html (10.01.2021).
• Eurostat (2021). National requirements for the Intrastat system. Publications Office of the European Union, Luxembourg.
• Farhad, M, Jetter, M, Siddique, A, & Williams, A. (2018). Misreported trade. CESifo Working Paper Series, 7150.
• Federico, G., & Tena, A. (1991). On the accuracy of foreign trade statistics (1909-1935). Morgenstern revisited. Explorations in Economic History, 28(3), 259-273. doi: 10.1016/0014-4983(91)90007-6.
• Feenstra, R. C., Hai, W., Woo, W. T., & Yao, S. (1999). Discrepancies in international data: an application to China-Hong Kong entrepot trade. American Economic Review, 89(2), 338-343. doi: 10.1257/aer.89.2.338.
• Ferrantino, M. J., Liu, X., & Wang, Z. (2012). Evasion behaviors of exporters and importers: evidence from the U.S.-China trade data discrepancy. Journal of International Economics, 86(1), 141-157. doi: 10.1016/j.jinteco.2011.08.006.
• Ferrantino, M. J., & Wang, Z. (2008). Accounting for discrepancies in bilateral trade: the case of China, Hong Kong, and the United States. China Economic Review, 19(3), 502-520. doi: 10.1016/j.chieco.2008.02.002.
• Fisman, R., & Wei, S-J. (2004). Tax rates and tax evasion: evidence from 'missing imports' in China. Journal of Political Economy, 112(2), 471-496. doi: 10.1086/381476.
• Grigoriou, C. (2019). Mirror analysis as a support for risk management and valuation: a practical study. World Customs Journal, 13(2), 91-104.
• Hayakawa, K. (2020). Departure months and discrepancy in mirror trade data. Institute of Developing Economies. Ide Discussion Paper, 795.
• Hien, P. T. T., & Hung, N. V. (2020). Applying 'mirror statistics' in cross-border trade administration: case of general department of Vietnam customs. World Customs Journal, 14(1), 41-54.
• Hong, K. P., & Pak, S. J. (2016). Estimating trade misinvoicing from bilateral trade statistics: the devil is in the details. International Trade Journal, 31(1), 3-28. doi: 10.1080/08853908.2016.1202160.
• Javorcik, B. S., & Narciso, G. (2008). Differentiated products and evasion of import tariffs. Journal of International Economics, 76(2), 208-222.
• Kellenberg, D., & Levinson, A. (2018). Misreporting trade: tariff evasion, corruption, and auditing standards. Review of International Economics, 27(1), 106-129. doi: 10.1111/roie.12363.
• Liapis, S., Ashbrook, M., Fragkakis, M., & Petrakos, G. (2009). Mirror outlier detection in foreign trade data. Conference Paper, New Techniques and Technologies for Statistics NTTS. Retrieved from https://ec.europa.eu/eurostat/documents/1001617/4398385/S4P1-MIRROROUTLIERDETECTION-LIAPIS.pdf (8.01.2021).
• Mantusov, V. B., & Tebekin, A. V. (2016). Perfecting methodological recommendations on conducting comparative analysis of foreign trade data of Russian federation. Vestnik of Russian Customs Academy 1, 7-19.
• Markowicz, I., & Baran, P. (2019a). ICA and ICS-based rankings of EU countries according to quality of mirror data on intra-Community trade in goods in the years 2014-2017. Oeconomia Copernicana, 10(1), 55-68. doi: 10.24136/oc.2019.003.
• Markowicz, I., & Baran P. (2019b). Quality of Intrastat data. Comparison between "old" and "new" EU member states. Acta Universitatis Lodziensis. Folia Oeconomica, 2(341), 69-80. doi: 10.18778/0208-6018.341.05.
• Markowicz, I., & Baran, P. (2020a). A new method for calculating mirror data asymmetry in international trade. Oeconomia Copernicana, 11(4), 637-656. doi: 10.24136/oc.2020.026.
• Markowicz I., & Baran P. (2020b), Discrepancies between mirror data on intra-Community trade: the case of Poland. Econometrics. Ekonometria, 24(1), 1-11, doi: 10.15611/eada.2020.1.01.
• Morgenstern, O. (1963). On the accuracy of economic observations. Princeton University Press, New Jersey.
• Pacini, H., & Shi, G. (2021). Network analysis of international trade in plastic scrap. Sustainable Production and Consumption, 27, 203-216. doi: 10.1016/j.spc.2020.10.027.
• Parniczky, G. (1980). On the inconsistency of world trade statistics. International Statistical Review, 48(1), 43-48. doi: 10.2307/1402404.
• Statistical Office of Montenegro - MONSTAT (2015). Mirror analysis summary report. International trade in goods statistics. IPA 2012, Multi-beneficiary statistical co-operation programme.
• Statistics Poland (2018). Foreign trade. Mirror and asymmetry statistics.
• The Global Coalition Against Corruption (2018). The customs corruption in Kazakhstan: the trade mirror analysis. White book. Almaty.
• Van Beukering, P., & Bouman, M. (2009). Empirical evidence on recycling and trade of paper and lead in developed and developing countries. World Development, 29(10), 1717-1737.

Identyfikatory

DOI

10.24136/oc.2021.029