Page 116 - Contributed Paper Session (CPS) - Volume 4
P. 116

CPS2145  Jee, Hui-Siang Brenda et al.
                  timeliness. However, international merchandise trade statistics has faced the
                                                                                        2
                  challenges of inconsistency that can be examined through mirror analysis  and
                  further  reconciliation  study  as  encouraged  in  International  Merchandised
                                                                  3
                  Trade Statistics (IMTS), Revision 3, paragraph 9.18 .
                     A considerable amount of literature had been published on mirror analysis
                  of merchandise trade statistics, such as Day (2015) conducted a mirror study
                  by  comparing  China’s  merchandise  trade  statistics  with  its  major  trading
                  partners with the purpose to assess the accuracy of trade data; Javorsek (2016)
                  analysed  asymmetries  in  bilateral  trade  between  selected  Asia-Pacific
                  countries at regional and further details at countries with higher asymmetries;
                  and Markhonko (2014) that studied the issues of international trade statistics
                  asymmetries in constructing inter-country input-output model.
                     In  extension,  some  researchers  had  focused  their  study  in  certain
                  commodity sections. For example, Ferrantino and Wang (2007) proposed an
                  index in terms of the average asymmetry to measure the discrepancies across
                  trade sectors between United States with China and Hong Kong; Guo (2010)
                  focused on international trade statistics in manufacturing goods and found
                  that asymmetric pattern exist between China and its top five trading partners;
                  and Fisher et al. (2014) reported the asymmetry on external trade statistics
                  between Palestine and Switzerland based on 6-digit tariff heading.
                     Studies of reconciliation such as that conducted by the Joint Commission
                  on Commerce and Trade Statistics Working Group (2012) and China-Canada
                  Joint Working Group on Trade Statistics Reconciliation (2018) had discussed
                  asymmetries  factors  in bilateral  trade and  demonstrated adjustment  which
                  more closely aligns the two sets of data.
                     So far, however, there have been fewer studies about mirror analysis that
                  focuses in detail on Harmonized Commodity Description and Coding System
                  (HS).  In  addition,  no  research  has  been  conducted  on  Sarawak  trade
                  asymmetric. Thus, this paper was prepared to study asymmetry trade statistics
                  between  Sarawak  and  Japan  by  focusing  on  a  specific  product  which  is
                  liquefied natural gas (LNG). The focus on a single product had portrayed an
                  additional  source  of  reference  to  measure  the  quality  trade  statistics  with
                  major trading partner and product that have greater influences on that region.
                      Sarawak, the largest state in Malaysia that covers 124,451 km2 land area,
                  is located in northwest Borneo Island. Abundant in natural resources such as


                  2  Mirror analysis refers to the comparison of imports and exports data between the trade
                  partners. The inconsistency exists when the reported exports from country A to country B
                  do not match the reported imports of country B from country A, which term as bilateral
                  asymmetries in United Nation International Trade Statistics.
                  3  “Countries are encouraged, therefore, to periodically conduct bilateral and multilateral
                  reconciliation studies or implement data exchange so that their statistics can be more
                  accurate and useful for both national purpose and for international comparisons”.
                                                                     105 | I S I   W S C   2 0 1 9
   111   112   113   114   115   116   117   118   119   120   121