Chart 4. China`s trade profile. Ti china to its partners (above) and partner in China (below) within 5 years of the effective date of each BTA. The left and right zones show the results of export links (imports). China`s BTA partners include Chile (CHL), Hong Kong (HKG), New Zealand (NZL), Pakistan (HAP) and the Association of Southeast Asian Nations (AS). The score values displayed in red (violet) z imply a higher (lower) IT level in the 5-year period after tf. Trade agreements in red (purple) regions indicate a positive (negative) trend in IT between partners. A positive (negative) value of the BTA b impact index is attributed to a trade agreement if it is followed by both a positive trend and a higher level (negative trend and lower level) of ti. 26. Lenzen M, Moran D, Kanemoto K, Geschke A. Building eora: a global multi-regional high-resolution country and sector input-exit database. Econ Syst Res.
(2013) 25:20-49. doi: 10.1080/09535314.2013.769938 In this study, we examine the effectiveness of NTOs by measuring their impact on trade flows between the economic sectors of the various contracting countries. To this end, we consider all trade relations as an international trade network (ITN) in which sectors (nodes) are linked by their volume of trade. The theory of networks applied to commercial economics has gained strength in recent years, since it allows to integrate topological properties in the analysis [18, 19]. Studies on the formation and structure of economic dependencies , the resistance of the commercial system to a failure of an industry or production facility [21, 22] and the dissemination of knowledge and technology related to growth  are remarkable examples. Unlike gravity models often used for related analyses [3, 5, 6], we can thus take into account higher orders of reciprocal economic interdependencies. In this work, such reliance on the higher order reflects the fact that TATs could also influence the demand and supply of sectors indirectly linked to the export and import sector. The existence of these indirect effects was recently revealed by , which shows that countries more linked to trade agreements benefit from the fact that they export more than those that are more isolated.
Taking into account all direct and indirect inflows and exits within and between two countries, we are putting in place a quantitative framework for measuring the interconnection of trade (IT) between two ITN countries. Taking into account all direct and indirect dependencies thus improves the SPC measure proposed recently by Wenz and Levermann , which is limited to the measurement of direct dependencies. In addition, we assess the impact of NTOs by assessing the evolution over time of IT, taking into account both the trend and changes in IT size after the implementation date of a trade agreement. These methods, as well as the description of the data used for this study, are presented in Section 2 of this contribution. We analyze the impact of BTAs in general based on the 107 agreements that came into force in Chapter 3 between 1995 and 2008. In particular, we compare the results of BTAs formed by the United States and China, thus providing empirical quantitative evidence of the proposed strategic differences in the negotiation of BTAs. A sensitivity study of our results, along with further in-depth discussions on the effect of certain parameters of our analysis, is presented in Section 4 before this paper concludes with a discussion in Section 5.