Recent patterns of global production and GVC participation

Xin Li
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Our main findings show that the pace of GVC activities picked up in 2017 after a period of slow down since 2012; intra-North American and intra-European GVC activities declined relative to inter-regional transactions due to higher penetration via Factory Asia but value chains still remain largely regional; China is increasingly playing an important role as both a supply and demand hub in traditional trade and simple GVC networks, although the US and Germany are still the most important hubs in complex GVC networks; bilateral trade balances are significantly affected by the supply and demand of third countries; and net imports are no longer a proper measure of the impact of international trade on the domestic economy in the age of GVCs. • The growth of global value chains has slowed since the 2008-09 Global Financial Crisis but has not stopped. From 2000 to 2007, global value chains (GVCs), especially complex ones, expanded at a faster rate than GDP. During the global financial crisis there was naturally some retrenchment of GVCs, followed by quick recovery (2010-2011), but since then growth has mostly slowed. However, most recent data for 2017 show that complex GVCs grew faster than GDP. • Value chains remain largely regional but they are not static. Between 2000 and 2017, intra-regional GVC trade increased in “Factory Asia” reflecting, in part, upgrading by China and other Asian economies. In contrast, intra-regional GVC trade in “Factory Europe” and “Factory North America” decreased slightly relative to inter-regional GVC trade reflecting stronger linkages with “Factory Asia”. • China has emerged as an important hub in traditional trade and simple GVC networks, but the United States and Germany remain the most important hubs in complex GVC networks. 10 • Technological innovation, supply chain trade, and workers in a globalized world Global value chains, where firms specialize in a particular set of activities in one country to produce parts and components for other countries, have spread the production process across countries; their share of world production and trade has expanded greatly over the past three decades. In the years immediately after the global financial crisis, however, the expansion of GVCs significantly slowed, according to GVC production measures reported in the 2017 GVC development report. At the same time, the world has seen the emergence of populist, protectionist movements in many advanced countries. The looming trade tension between the United States and its major trading partners, especially China, the second largest economy in the world, will have significant consequences for growth opportunities in developing countries, but also, in a world of high levels of interdependence, developed economies. The first chapter of this report updates trends in GVC production and trade activities in both developed and developing economies by technology (knowledge) intensity and income level, according to the production decomposition method proposed by Wang et al (2017). This approach classifies the embodied factor content in a product into GVC and non-GVC activities based on whether it crosses national borders or not. Value-added creation is only classified as a GVC activity when the embodied factor content in a product crosses a national border for production purposes (Box 1.1). The chapter is organized as follows. Section 1 describes the changing pattern of global production activities and GVC participation across countries and industries based on global inter-country input-output (ICIO) tables constructed by Asian Development Bank, which covers 62 economies and 35 industries up to 2017. Section 2 demonstrates the changing distribution of value-added production activities along typical global value chains, as more developing countries have been integrated into the global production network. Section 3 uses network analysis to demonstrate the topology of the global production network structure of traditional trade, simple and complex GVC activities, and their evolution between 2000 and 2017. Section 4 analyzes the multilateral nature of bilateral trade and focuses on three sensitive bilateral trade relations (US-China, US-Germany, US-Japan) to demonstrate the roles third countries have played in determining bilateral trade balances in the age of global value chains. Section 5 concludes. BOX 1.1 A production decomposition to identify and measure GVC activities In Wang et. al. (2017), production activities are divided into 4 broad types depending on whether they involve production sharing between two or more countries. The first type is value added produced at home and absorbed by domestic final demand without involving international trade. No factor content crosses national borders in the entire production and consumption process. The second type is domestic value added embodied in final product exports, that is, traditional trade: products are made completely by domestic factors and factor content crosses a national border once for consumption only. The third type is domestic value added embodied in a country-sector’s intermediate trade that is used by the partner country to produce its domestic products consumed locally, or is foreign value added that is imported directly from partner countries and used for domestically consumed products. Factor content is used in production outside the home country and crosses a national border once for production. Therefore, it is referred to as “simple GVC activities”. The last type is value added embodied in intermediate exports/imports that is used by a partner country to produce exports (intermediate or final) for other countries. In this case, factor content crosses a national border at least twice, so is referred to as “complex GVC activities.” Production activities in the first two types are entirely conducted within national borders, and there is no cross-country production sharing; the difference between the two is whether they satisfy either domestic or foreign final demand. The last two types are cross-country production sharing activities; the differences between the two are whether they satisfy partner country or other countries’ final demand, and the number of times factor content crosses national borders. Domestic and import input-output coefficient matrixes in ICIO tables are used to distinguish domestic and foreign factor content in various production activities. The classification and relation among the four types of production are depicted in Figure 1.1. According to this decomposition method, GVC activities as a share of total production activities can be used to measure the intensity of each country-sector’s participation in cross-country production sharing activities. Essentially, this approach measures the percentage of production in a particular country-sector that has been engaged in global production networks. The forward GVC participation indicator is based on a decomposition of GDP production; it shows the percentage of production factors employed in a country-sector that have been involved in cross-country production sharing activities. The backward participation indicator is computed based on a decomposition of final goods production; it shows the percentage of final products produced by a country-sector coming from GVC activities. Recent patterns of global production and GVC participation • 11 1. The changing pattern of global production activities and GVC participation2 GVC activities as a share of global GDP fell from 2011 to 2016, as the share of purely domestic production activities rose (see Figure 1.2, which is an update of Figure 2.3 in the 2017 GVC Development Report based on the newly released ICIO tables by the Asian Development Bank). This continues the downward trend in GVC activities shown in the 2017 GVC report based on data through 2014. However, the growth of global trade surpassed the growth of global GDP for the first time in nearly six years in 2017, and there were signs of a recovery of GVC activities. The nominal growth rate of all types of production activities (the four activities are defined in Box 1.1) fell sharply during 2012-2016, with a much sharp slowdown in cross-country, production-sharing GVC activities. The decline was the steepest for complex GVC activities, followed by simple GVC activities, traditional trade and domestic production activities; the average annual changes for these four types of activities during 20122016 were -1.65%, -1.00%, -0.28% and 1.49% respectively (individual year data are reported in Figure 1.3, which is an update of Figure 2.5 in the 2017 GVC report). Thus, the limited increase in global GDP from 2012-2016 was almost entirely accounted by the growth of pure domestic production; international trade contributed very little during this slow recovery period. In 2017, the growth rate of global trade exceeded that of global GDP, a 10% increase in complex GVC activities led the growth. However, rising trade tensions between the United States and its major trading partners, especially China, has introduced tremendous uncertainty in the global economy recovery process. Determining whether the recovery of cross-country production sharing activities in 2017 has started a new trend requires more years of data and further analysis. A first step is to measure the impact of the recent, sharp changes in commodity prices on nominal growth rates of production activities shown above. The global prices of crude oil and other bulk commodities have gone through a “super circle” since 2000. For example, the per barrel crude oil price (dated Brent) fluctuated dramatically during 2000-2018, rising from less than 30 US dollars in 2000 to over 110 dol","PeriodicalId":296231,"journal":{"name":"Global Value Chain Development Report 2019","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"50","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Global Value Chain Development Report 2019","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.30875/6aa1a271-en","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 50

Abstract

Taking advantage of a new accounting method to decompose GDP production into pure domestic production, traditional trade, simple and complex GVC activities, this chapter examines recent trends in global value chain (GVC) activities across the world. Our main findings show that the pace of GVC activities picked up in 2017 after a period of slow down since 2012; intra-North American and intra-European GVC activities declined relative to inter-regional transactions due to higher penetration via Factory Asia but value chains still remain largely regional; China is increasingly playing an important role as both a supply and demand hub in traditional trade and simple GVC networks, although the US and Germany are still the most important hubs in complex GVC networks; bilateral trade balances are significantly affected by the supply and demand of third countries; and net imports are no longer a proper measure of the impact of international trade on the domestic economy in the age of GVCs. • The growth of global value chains has slowed since the 2008-09 Global Financial Crisis but has not stopped. From 2000 to 2007, global value chains (GVCs), especially complex ones, expanded at a faster rate than GDP. During the global financial crisis there was naturally some retrenchment of GVCs, followed by quick recovery (2010-2011), but since then growth has mostly slowed. However, most recent data for 2017 show that complex GVCs grew faster than GDP. • Value chains remain largely regional but they are not static. Between 2000 and 2017, intra-regional GVC trade increased in “Factory Asia” reflecting, in part, upgrading by China and other Asian economies. In contrast, intra-regional GVC trade in “Factory Europe” and “Factory North America” decreased slightly relative to inter-regional GVC trade reflecting stronger linkages with “Factory Asia”. • China has emerged as an important hub in traditional trade and simple GVC networks, but the United States and Germany remain the most important hubs in complex GVC networks. 10 • Technological innovation, supply chain trade, and workers in a globalized world Global value chains, where firms specialize in a particular set of activities in one country to produce parts and components for other countries, have spread the production process across countries; their share of world production and trade has expanded greatly over the past three decades. In the years immediately after the global financial crisis, however, the expansion of GVCs significantly slowed, according to GVC production measures reported in the 2017 GVC development report. At the same time, the world has seen the emergence of populist, protectionist movements in many advanced countries. The looming trade tension between the United States and its major trading partners, especially China, the second largest economy in the world, will have significant consequences for growth opportunities in developing countries, but also, in a world of high levels of interdependence, developed economies. The first chapter of this report updates trends in GVC production and trade activities in both developed and developing economies by technology (knowledge) intensity and income level, according to the production decomposition method proposed by Wang et al (2017). This approach classifies the embodied factor content in a product into GVC and non-GVC activities based on whether it crosses national borders or not. Value-added creation is only classified as a GVC activity when the embodied factor content in a product crosses a national border for production purposes (Box 1.1). The chapter is organized as follows. Section 1 describes the changing pattern of global production activities and GVC participation across countries and industries based on global inter-country input-output (ICIO) tables constructed by Asian Development Bank, which covers 62 economies and 35 industries up to 2017. Section 2 demonstrates the changing distribution of value-added production activities along typical global value chains, as more developing countries have been integrated into the global production network. Section 3 uses network analysis to demonstrate the topology of the global production network structure of traditional trade, simple and complex GVC activities, and their evolution between 2000 and 2017. Section 4 analyzes the multilateral nature of bilateral trade and focuses on three sensitive bilateral trade relations (US-China, US-Germany, US-Japan) to demonstrate the roles third countries have played in determining bilateral trade balances in the age of global value chains. Section 5 concludes. BOX 1.1 A production decomposition to identify and measure GVC activities In Wang et. al. (2017), production activities are divided into 4 broad types depending on whether they involve production sharing between two or more countries. The first type is value added produced at home and absorbed by domestic final demand without involving international trade. No factor content crosses national borders in the entire production and consumption process. The second type is domestic value added embodied in final product exports, that is, traditional trade: products are made completely by domestic factors and factor content crosses a national border once for consumption only. The third type is domestic value added embodied in a country-sector’s intermediate trade that is used by the partner country to produce its domestic products consumed locally, or is foreign value added that is imported directly from partner countries and used for domestically consumed products. Factor content is used in production outside the home country and crosses a national border once for production. Therefore, it is referred to as “simple GVC activities”. The last type is value added embodied in intermediate exports/imports that is used by a partner country to produce exports (intermediate or final) for other countries. In this case, factor content crosses a national border at least twice, so is referred to as “complex GVC activities.” Production activities in the first two types are entirely conducted within national borders, and there is no cross-country production sharing; the difference between the two is whether they satisfy either domestic or foreign final demand. The last two types are cross-country production sharing activities; the differences between the two are whether they satisfy partner country or other countries’ final demand, and the number of times factor content crosses national borders. Domestic and import input-output coefficient matrixes in ICIO tables are used to distinguish domestic and foreign factor content in various production activities. The classification and relation among the four types of production are depicted in Figure 1.1. According to this decomposition method, GVC activities as a share of total production activities can be used to measure the intensity of each country-sector’s participation in cross-country production sharing activities. Essentially, this approach measures the percentage of production in a particular country-sector that has been engaged in global production networks. The forward GVC participation indicator is based on a decomposition of GDP production; it shows the percentage of production factors employed in a country-sector that have been involved in cross-country production sharing activities. The backward participation indicator is computed based on a decomposition of final goods production; it shows the percentage of final products produced by a country-sector coming from GVC activities. Recent patterns of global production and GVC participation • 11 1. The changing pattern of global production activities and GVC participation2 GVC activities as a share of global GDP fell from 2011 to 2016, as the share of purely domestic production activities rose (see Figure 1.2, which is an update of Figure 2.3 in the 2017 GVC Development Report based on the newly released ICIO tables by the Asian Development Bank). This continues the downward trend in GVC activities shown in the 2017 GVC report based on data through 2014. However, the growth of global trade surpassed the growth of global GDP for the first time in nearly six years in 2017, and there were signs of a recovery of GVC activities. The nominal growth rate of all types of production activities (the four activities are defined in Box 1.1) fell sharply during 2012-2016, with a much sharp slowdown in cross-country, production-sharing GVC activities. The decline was the steepest for complex GVC activities, followed by simple GVC activities, traditional trade and domestic production activities; the average annual changes for these four types of activities during 20122016 were -1.65%, -1.00%, -0.28% and 1.49% respectively (individual year data are reported in Figure 1.3, which is an update of Figure 2.5 in the 2017 GVC report). Thus, the limited increase in global GDP from 2012-2016 was almost entirely accounted by the growth of pure domestic production; international trade contributed very little during this slow recovery period. In 2017, the growth rate of global trade exceeded that of global GDP, a 10% increase in complex GVC activities led the growth. However, rising trade tensions between the United States and its major trading partners, especially China, has introduced tremendous uncertainty in the global economy recovery process. Determining whether the recovery of cross-country production sharing activities in 2017 has started a new trend requires more years of data and further analysis. A first step is to measure the impact of the recent, sharp changes in commodity prices on nominal growth rates of production activities shown above. The global prices of crude oil and other bulk commodities have gone through a “super circle” since 2000. For example, the per barrel crude oil price (dated Brent) fluctuated dramatically during 2000-2018, rising from less than 30 US dollars in 2000 to over 110 dol
全球生产和全球价值链参与的最新模式
在整个生产和消费过程中,要素含量不跨越国界。第二类是体现在最终产品出口上的国内增加值,即传统贸易:产品完全由国内要素制造,要素含量一次跨越国境仅供消费。第三种类型是体现在国家部门中间贸易中的国内增加值,它被伙伴国用来生产其在当地消费的国内产品,或者是直接从伙伴国进口并用于国内消费产品的外国增加值。要素含量在母国以外的生产中使用,一次跨越国界进行生产。因此,它被称为“简单的全球价值链活动”。最后一种类型是体现在中间出口/进口中的附加值,它被伙伴国家用来为其他国家生产出口(中间或最终)。在这种情况下,要素内容跨越国界至少两次,因此被称为“复杂的全球价值链活动”。前两种类型的生产活动完全在国家境内进行,不存在跨国生产共享;两者之间的区别在于它们是否满足国内或国外的最终需求。后两类是跨国生产共享活动;两者的区别在于它们是否满足伙伴国或其他国家的最终需求,以及要素内容跨越国界的次数。ICIO表中的国内和进口投入产出系数矩阵用于区分各种生产活动中的国内和国外要素含量。四种生产类型之间的分类和关系如图1.1所示。根据这种分解方法,全球价值链活动占总生产活动的比例可以用来衡量每个国家部门参与跨国生产分享活动的强度。从本质上讲,这种方法衡量的是参与全球生产网络的特定国家部门的生产百分比。前瞻性全球价值链参与指标基于GDP生产的分解;它显示了参与跨国生产分享活动的国家部门所使用的生产要素的百分比。逆向参与指标是根据最终产品生产的分解计算的;它显示了一个国家部门生产的来自全球价值链活动的最终产品的百分比。全球生产和全球价值链参与的最新模式全球生产活动和全球价值链参与格局的变化2从2011年到2016年,全球价值链活动占全球GDP的份额有所下降,而纯粹的国内生产活动所占的份额有所上升(见图1.2,这是根据亚洲开发银行新发布的ICIO表格对《2017年全球价值链发展报告》图2.3的更新)。这延续了2017年全球价值链报告中基于2014年数据显示的全球价值链活动下降趋势。然而,2017年全球贸易增速近6年来首次超过全球GDP增速,全球价值链活动出现复苏迹象。2012-2016年期间,所有类型的生产活动(四种活动的定义见框1.1)的名义增长率急剧下降,跨国、生产共享的全球价值链活动大幅放缓。复杂的全球价值链活动下降幅度最大,其次是简单的全球价值链活动、传统贸易和国内生产活动;2012 - 2016年这四类活动的年平均变化分别为-1.65%、-1.00%、-0.28%和1.49%(个别年份数据见图1.3,这是对2017年GVC报告中图2.5的更新)。因此,2012年至2016年全球GDP的有限增长几乎完全是由纯粹的国内生产增长造成的;在这一缓慢的恢复期,国际贸易贡献不大。2017年,全球贸易增速超过全球GDP增速,复杂的全球价值链活动增长10%引领了增长。然而,美国与其主要贸易伙伴,特别是中国之间的贸易紧张局势不断升级,给全球经济复苏进程带来了巨大的不确定性。2017年跨国生产共享活动的复苏是否开启了新的趋势,需要更多年份的数据和进一步的分析。第一步是衡量商品价格最近的急剧变化对上述生产活动名义增长率的影响。自2000年以来,全球原油和其他大宗商品价格经历了一个“超级循环”。 例如,2000年至2018年期间,每桶原油价格(以布伦特原油为基准)波动剧烈,从2000年的不到30美元上涨到110美元以上
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