Bilateral relatedness: knowledge diffusion and the evolution of bilateral trade

被引:0
作者
Bogang Jun
Aamena Alshamsi
Jian Gao
César A. Hidalgo
机构
[1] Massachusetts Institute of Technology,Collective Learning Group, MIT Media Lab
[2] Inha University,Department of Economics
[3] Khalifa University,Masdar Institute
[4] University of Electronic Science and Technology of China,CompleX Lab, Big Data Research Center
[5] University of Toulouse,ANITI Chair
[6] University of Manchester,Manchester Institute of Innovation Research
[7] Harvard University,Harvard John A. Paulson School of Engineering and Applied Sciences
[8] Datawheel,undefined
来源
Journal of Evolutionary Economics | 2020年 / 30卷
关键词
International trade; Relatedness; Knowledge diffusion; Economic complexity; F1; O14; O33;
D O I
暂无
中图分类号
学科分类号
摘要
During the last two decades, two important contributions have reshaped our understanding of international trade. First, countries trade more with those with whom they share history, language, and culture, suggesting that trade is limited by information frictions. Second, countries are more likely to start exporting products that are related to their current exports, suggesting that shared capabilities and knowledge diffusion constrain export diversification. Here, we join both of these streams of literature by developing three measures of bilateral relatedness and using them to ask whether the destinations to which a country will increase its exports of a product are predicted by these forms of relatedness. The first form is product relatedness, and asks whether a country already exports many similar products to a destination. The second is importer relatedness, and asks whether the country exports the same product to the neighbors of the target destination. The third is exporter relatedness, and asks whether a country’s neighbors are already exporting the same product to the destination. We use bilateral trade data from 2000 to 2015, and a variety of controls in multiple gravity specifications, to show that countries are more likely to increase their exports of a product to a destination when they have more product relatedness, importer relatedness, and exporter relatedness. Then, we use several sample splits to explore whether the effects of these forms of relatedness are stronger for products of higher complexity, technological sophistication, and differentiation. We find that, in the case of product relatedness, the effects are stronger for differentiated, complex, and technologically sophisticated products. Also, we find the effects of common language and shared colonial past to increase with differentiation, complexity, and technological sophistication, while the effects of shared borders decrease with these three variables. These results suggest that product relatedness and common language capture dimensions of knowledge relatedness that are more important for the exchange of more sophisticated and differentiated products. These findings extend the ideas of relatedness to bilateral trade and show that the evolution of bilateral trade networks are shaped by relatedness among products, exporters, and importers.
引用
收藏
页码:247 / 277
页数:30
相关论文
共 62 条
  • [1] Anderson JE(1979)A theoretical foundation for the gravity equation Am Econ Rev 69 106-116
  • [2] Anderson JE(2002)Insecurity and the pattern of trade: an empirical investigation Rev Econ Stat 84 342-352
  • [3] Marcouiller D(2014)Neighbors and the evolution of the comparative advantage of nations: Evidence of international knowledge diffusion? J Int Econ 92 111-123
  • [4] Bahar D(1965)Trade liberalisation and “revealed” comparative advantage Manchester School 33 99-123
  • [5] Hausmann R(2014)Relatedness and technological change in cities: The rise and fall of technological knowledge in US metropolitan areas from 1981 to 2010 Ind Corp Chang 24 223-250
  • [6] Hidalgo CA(2013)The emergence of new industries at the regional level in Spain: a proximity approach based on product relatedness Econ Geogr 89 29-51
  • [7] Balassa B(2009)Mobility of skilled workers and co-invention networks: an anatomy of localized knowledge flows J Econ Geogr 9 439-468
  • [8] Boschma R(2002)Anonymous market and group ties in international trade J Int Econ 58 19-47
  • [9] Balland P-A(2014)The network structure of international trade Am Econ Rev 104 3600-3634
  • [10] Kogler DF(2005)The trade-creating effects of business and social networks: Evidence from France J Int Econ 66 1-29