Page 121 - Contributed Paper Session (CPS) - Volume 4
P. 121
CPS2145 Jee, Hui-Siang Brenda et al.
positive value of indexes against Japan that was an importer. Second, the trade
discrepancy index was relatively low at less than 15.0% throughout the study
period. Thus, this result mirroring the quality of trade data between Sarawak
and Japan had been much accurate.
From the empirical investigation, the issues on asymmetry trade statistics
were noted. They were influenced by trade valuation, exchange rate and other
factors. Although it is difficult to eradicate these issues in international trade,
it is however important to measure and identify the cause of asymmetry for
the mean of compiling better quality statistics. For these reasons, it is
suggested to further analyse the cause of asymmetry trade statistics in future
studies.
References
1. China-Canada Joint Working Group on Trade Statistics Reconciliation.
(2018). Comparing Canada’s and China’s bilateral trade data. Retrieved
from https://www150.statcan.gc.ca/n1/pub/13-
605x/2018001/article/54962-eng.htm
2. Day, I. (2015). Assessing China’s merchandise trade data using mirror
statistics. Retrieved from
https://www.rba.gov.au/publications/bulletin/2015/dec/pdf/bu-1215-
3.pdf
3. Department of Statistics Malaysia. Sarawak External Trade Statistics,
various issues. Sarawak: Department of Statistics Malaysia.
4. Ferrantino, M.J. and Wang, Z. (2007). Accounting for discrepancies in
bilateral trade: The case of China, Hong Kong, and the United States.
United States International Trade Commission, Office of Economics
Working Paper No. 2007-04-A.
5. Fisher, N., Pfammatter, M., Carnal, G., Khalifa, H., Almasri, M., Khalil, A.,
and Abu Bakar, F. (2014, August). Asymmetry study on external trade
statistics between Palestine and Switzerland. Retrieved from
http://www.pcbs.gov.ps/Downloads/book2118.pdf
6. Gehlhar, M.J. (1996). Reconciling bilateral trade data for use in GTAP.
Retrieved from
https://www.gtap.agecon.purdue.edu/resources/download/38.pdf
7. Guo, D. (2009). Mirror statistics of international trade in manufacturing
goods: The case of China. United Nation Industrial Development
Organization (UNIDO), Research and Statistics Branch Working Paper
19/2009.
8. International Monetary Fund. (2018). International Financial Statistics.
Retrieved from https://data.imf.org/?sk=388DFA60-1D26-4ADE-
B505A05A558D9A42&sId=1479331931186
110 | I S I W S C 2 0 1 9