改善全球价值链分析的会计框架

Nadīm Aḥmad
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引用次数: 7

摘要

全球投入产出表的使用和增值贸易(TiVA)统计数据的创建,极大地提高了我们对全球生产通过价值链碎片化的理解。然而,它们的应用需要一些假设,在实践中,这些假设通常低估了相互联系的程度。TiVA估计隐含地假设一个行业内各公司的生产函数相同,而实际上生产函数差别很大。通常,较大的(和外资所有的)公司往往比较小的(和国内所有的)公司更以贸易为导向。因此,贸易增加值统计低估了整个经济出口的进口比重,而进口比重是全球生产的一个关键指标。此外,TiVA分析以基本价格概念为基础,通过价值链提供了适当的生产视图,但不太适合分析消费,特别是因为它们排除了在链末端增加价值的重大分销利润(特别是零售和批发活动,通常包括营销活动和品牌)。这可能会扭曲使用“微笑曲线”(smile curves)进行的分析,从而低估贸易支持的就业规模。“微笑曲线”显示了价值链中不同部门与最终需求的距离。•增值贸易(TiVA)统计数据极大地提高了我们对全球价值链的理解,但它们使用的假设在衡量全球价值链整合时通常会产生向下的偏差,而且它们几乎没有提供关于全球价值链投资链的信息。•应优先考虑通过扩展供应-使用表,将不同类型公司的关键特征纳入未来TiVA模型生产的主流,不仅要提高其相关性,还要提高其质量。•还应开始努力用基于市场价格的估算来补充目前基于基本价格的贸易增加值估算,这不仅是为了便于解释,也是为了突出分销商所发挥的重要作用,并更好地了解知识产权所发挥的作用。例如,基于市场的方法表明,美国通过进口销售维持了900万个就业岗位。156•全球化世界中的技术创新、供应链贸易和工人
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Improving the accounting frameworks for analyses of global value chains
The use of global input-output tables, and the creation of Trade in Value-Added (TiVA) statistics, has greatly improved our understanding of the fragmentation of global production through value chains. However, their application requires a number of assumptions that, in practice, typically understate the degree of interconnectedness. TiVA estimates implicitly assume identical production functions across firms within an industry, when in reality production functions differ considerably. Typically, larger (and foreign-owned) firms tend to be more trade oriented than smaller (and domestically-owned) firms. As a result, TiVA statistics underestimate the import content of exports for the economy as a whole, a key indicator characterizing global production. Moreover, TiVA analyses are based on basic price concepts, which provide an appropriate view of production through value chains, but are less well equipped to analyse consumption, particularly as they exclude significant distribution margins (in particular retail and wholesale activities, often including marketing activities and brands), which add value at the end of the chain. This can distort analyses using “smile curves”, which show the distance from final demand of different sectors within value chains, and in turn understate the scale of jobs supported by trade. • Trade in Value-Added (TiVA) statistics have greatly improved our understanding of GVCs, but they use assumptions that generate typically downward biases in measures of GVC integration, and they give little information regarding the investment strand of GVCs. • Efforts to mainstream key characteristics of different types of firms in the production of tomorrow’s TiVA models, through extended supply-use tables, should be prioritized, to improve not only their relevance, but also their quality. • Efforts to complement TiVA estimates currently based on basic prices with estimates based on market prices should also be initiated, not only to ease interpretability, but also to highlight the significant role played by distributors and to better understand the role played by intellectual property. Market-based approaches, for example, reveal that 9 million jobs are sustained in the United States through sales of imports. 156 • Technological innovation, supply chain trade, and workers in a globalized world
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Understanding Supply Chain 4.0 and its potential impact on global value chains Acknowledgments Executive summary Improving the accounting frameworks for analyses of global value chains Global value chains and employment in developing economies
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