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The Vietnam–China corridor is therefore analytically important for at least three
                  reasons. First, the two countries share a long land border, dense production linkages, and
                  highly active trade gateways, making the border corridor unusually sensitive to changes in
                  customs rules, logistics capacity, and platform governance. Second, the relationship
                  combines cooperation and competition: Vietnam can benefit from deeper digital trade
                  integration with China, yet it also faces risks of tax leakage, data asymmetry, logistics
                  dependence, and competitive displacement in price-sensitive consumer segments. Third,
                  the corridor reveals how differences in regulatory design translate into market outcomes.
                  China has developed a highly integrated CBEC ecosystem combining customs digitization,
                  bonded warehousing, and pilot-zone experimentation; Vietnam, by contrast, has been
                  improving its legal and fiscal framework but still faces interoperability and enforcement
                  constraints.
                        This study addresses that issue through an explicit analytical framework. It defines
                  policy asymmetry as the structured difference between the two countries’ strategic
                  objectives, policy instruments, regulatory depth, and market effects, where those
                  differences create unequal compliance burdens, unequal logistics speeds, and unequal
                  competitive advantages in the bilateral corridor. Methodologically, the paper uses
                  comparative policy analysis with documentary evidence, drawing on official laws, decrees,
                  customs notices, government strategy documents, industry reports, and selected
                  academic studies. Time-sensitive macro and policy statements are presented as a dated
                  context snapshot rather than as timeless facts, which responds directly to the reviewer’s
                  concern about durability and proof-stage verification.
                        The contribution of the study is threefold. First, it formalizes the four-dimensional
                  comparative framework that had been implicit in the earlier version of the manuscript.
                  Second, it narrows the analysis to corridor-critical levers—tax withholding APIs, order–
                  payment–logistics data standards, near-border warehousing, and single-window
                  exchange—so that the policy argument is more decision-relevant. Third, it adds a
                  synthesis table and concise border-gate evidence to make the causal pathway from policy
                  design to market outcome clearer, especially for Vietnamese SMEs.
                        2. Conceptual and analytical foundations
                        2.1. Cross-border e-commerce: concept and key characteristics
                        CBEC refers to digitally mediated commercial transactions in which the contracting
                  parties, the customs territory of supply, or the territory of delivery are not the same. In
                  practical terms, it combines online platform intermediation with international logistics,
                  customs formalities, payment systems, and after-sales dispute management. The
                  operational chain therefore extends well beyond online storefronts and includes data
                  exchange among platforms, sellers, logistics providers, payment intermediaries, and
                  border authorities (Kim, Dekker, & Heij, 2017; Mou, Ren, Qin, & Kurcz, 2019; United
                  Nations Conference on Trade and Development [UNCTAD], 2016).
                        Compared with domestic e-commerce, CBEC displays at least five characteristics
                  that matter for governance. First, it is jurisdictionally complex because one transaction
                  may involve multiple legal regimes for contracts, taxation, consumer rights, data, and
                  customs. Second, it is logistics-intensive because delivery speed, return management, and
                  customs clearance materially affect consumer satisfaction and seller competitiveness.
                  Third, it is data-dependent: order, payment, shipping, and identity data must be captured,
                  transmitted, and reconciled with much greater precision than in traditional trade. Fourth,
                  it is trust-sensitive because buyers and sellers rarely meet, so platform reputation, ratings,


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