Wolf-Fabian HUNGERLAND and Nikolaus WOLF.
We are used to distinguishing between the “first” and the “second” globalization, separated not only by two world wars, but also by changes in technology and institutions, and hence their basic economic logic. The first globalization is typically described in terms of “classical” trade models of comparative advantage, where countries trade to take advantage of their differences. In contrast, the second globalization is largely described in terms of “new” trade models based on monopolistic competition and firm heterogeneity. Here, similar countries trade because they are all populated by firms exploiting economies of scale and differences in productivity.
The similarities and differences between these two globalizations are subject to a large and growing literature (Baldwin 2016, Jacks and Stürmer 2020). Given the rise in trade between very different countries like the USA and China, Paul Krugman asked during his Nobel prize lecture of 2008: “is the world becoming more classical?” (Krugman 2008). In a new paper (Hungerland and Wolf, EREH forthcoming), we describe Germany’s foreign trade 1880-1913 with new and very detailed evidence. To us, this evidence begs the question of how “classical” has the world ever been in the first place? Put differently, to what extent can “new” trade theory help us to understand the first globalization?
We have three main findings. First, and least surprising, Germany got increasingly specialized in manufacturing, notably chemicals, machinery and transport equipment. This is fully in line with predictions of “classical” trade models, and Germany having a comparative advantage in industries that use physical and human capital intensively. Second, however, we find that nearly all growth in exports and most growth in imports took place along the extensive margin, mostly driven by new products traded with old trade partners. Third, we find that between 25-30% of trade at our finest level of disaggregation is intra-industry trade, i.e. trade in the same product category. The latter two findings imply that we cannot understand the first globalization unless allowing for very substantial heterogeneity within countries and industries.
To create our data, we first digitalized all historical statistics on the foreign trade of the German customs union and the two major port cities Bremen and Hamburg that stayed outside of that customs union before 1889. Our data covers all imports and exports from 1880 to 1913 of all products, with all trade partners, captured in values and quantities. Next, we reclassified all data to the SITC system, and used a quota method to merge the Bremen and Hamburg data with that of the German customs union to create one consistent dataset. Using the SITC, we can compare this to historical trade data for other countries (e.g. Italy, see Federico and Wolf, 2012) and modern trade data. In a related paper, Hungerland and Altmeppen (2021) provide details on this and discuss, which revision of SITC is best suited to create comparable, historical and long-run trade data.
Figure 1 shows the growth of imports and exports of the German Empire, 1880-1913. This trade growth was much faster than GDP, resulting in a rising openness ratio. Moreover, Germany was catching up to the UK, to become the second largest trading nation in the world by 1913.
AGGREGATE IMPORTS, EXPORTS, TRADE BALANCE
In 1913-marks. Statistical items excluded. Source: Own calculations.
Table 1 is a first cut through the aggregate data: we see how imports and exports grew between 1880 and 1913 at the level of 1-digit SITC sectors. The pattern is roughly in line with “classical” trade models, where exports of manufacturing products grow more rapidly than imports, while the opposite holds for agricultural products and raw materials. However, the growth of manufacturing exports is accompanied by very strong growth in manufacturing imports, and Germany continues to export agricultural products and especially raw materials (such as coal).
SECTORAL TRADE GROWTH
Our data allows us to dissect aggregate trade growth much further, down to the level of 5-digit SITC (the product-level) for each trade partner of Germany. The number of products traded increased from 334 in 1880 to 834 in 1913, while the number of trade partners grew from 34 (1880) to 86 (1913). Let us define each product-country combination as a variety. In 1880 we observe 971 import varieties and 1,482 export varieties. A generation later in 1913 we observe 10,145 import and 29,263 export varieties. Following Amiti and Freund (2010), we can decompose aggregate trade growth over all varieties into three margins. First, growth can occur along the intensive margin, where trade in existing varieties is expanding (“more of the same”). Second, there can be growth along the extensive margin, where new varieties enter (either old products are traded with new trade partners, new products traded with old trade partners, or new products with new trade partners). Finally, growth can occur along the extensive margin, where old varieties disappear. Figure 2 shows the relative contribution of each of these margins to Germany’s trade expansion before World War I.
FIGURE 2: MARGIN DECOMPOSITION, 1880-1913
|Margins in percent of total trade according to eq. 1. Source: own calculations.|
Clearly, the extensive margin dominates the picture. Interestingly, this is true for imports and exports alike. In our paper, we show that the extensive margin dominates growth in all types of trade, manufacturing and non-manufacturing, and trade within and outside of Europe. Even trade growth between Germany and the USA was dominated by the extensive margin. Within the extensive margin, the most important element is the entry of new products in trade with existing trade partners. Moreover, we show that this is unlikely to be a statistical artefact stemming from an increasing level of detail in the historical classification system. If we restrict our attention to only those products and countries that were already recorded in the first year of our sample (1880), the picture remains largely unchanged (although this certainly underestimates the extensive margin).
A related question is whether and to what extent there was intra-industry trade, hence exports and imports of the same products in a given year. In figure 3 we show, separately for non-manufacturing and manufacturing trade, what share of trade is intra-industry, varying the level of aggregation from sectors (1-digit SITC) to products (5-digit SITC).
|Intra-industry trade in percent of total trade, Figure 3A: SITC sectors 0 to 4. Figure 3B: SITC sectors 5 to 8. Source: Own calculations.|
We find that even at the product-level, intra-industry trade accounts for between a quarter and a third of all trade, in manufacturing and non-manufacturing. Zooming into this more closely, we find that intra-industry trade was more prominent with rich economies—i.e. mostly with European trade partners.
Overall, our evidence suggests that simple “classical” trade models that focus on differences between countries miss crucial aspects of the first globalization. Once disaggregated trade data becomes available, we see that most of the growth in imports and exports was due not to increase in the value of trade in specific products between trade partners but growth in the number of products and trade partners. Our new evidence for Germany is in line with similar findings for Belgium before 1914 (Huberman et al., 2017) and Japan before 1914 (Meissner and Tang, 2017, 2018). Such growth along the extensive margin may have been driven by changes in trade costs due to improved transportation technology, by rising incomes, or also reflect strategies to differentiate products by branding and quality. But together with the evidence on large-scale intra-industry trade this suggests that heterogeneity within countries and industries should be systematically taken into account.
Yet, “classical” trade models are obviously not dead. At a very broad level they seem to capture, how countries specialized before 1914 – after all, they were invented to capture exactly this. Germany did specialize in manufacturing products, while agriculture in Germany and elsewhere in Europe was increasingly exposed to import competition: the “European grain invasion” (O’Rourke 1997) was very real. Farmers responded either by giving up and leaving agriculture, lobbying for protection, or shifting to different products (Suesse and Wolf 2020).
To us this suggests thinking about globalization along the lines of a hybrid model such as Bernard et al. (2007) that combines comparative advantages at the country-level with heterogeneity at the firm-level. Doing so might have far-reaching implications for our interpretation of the costs and benefits, the winners and losers, and hence for the political economy of globalization. With more disaggregated trade data available for more countries – hopefully in standardised and comparable form -, this is opening the door for a new understanding of the history of globalization.
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