{"id":11603,"date":"2017-02-20T06:25:47","date_gmt":"2017-02-20T06:25:47","guid":{"rendered":"http:\/\/revoscience.com\/en\/?p=11603"},"modified":"2017-02-20T06:25:47","modified_gmt":"2017-02-20T06:25:47","slug":"income-inequality-linked-export-complexity","status":"publish","type":"post","link":"https:\/\/www.revoscience.com\/en\/income-inequality-linked-export-complexity\/","title":{"rendered":"Income inequality linked to export \u201ccomplexity\u201d"},"content":{"rendered":"

The mix of products that countries export is a good predictor of income distribution, study finds.<\/strong><\/em><\/span><\/p>\n

\"\"
MIT Professor C\u00e9sar Hidalgo and his colleagues argue that everything else being equal, the complexity of a country\u2019s exports also correlates with its degree of economic equality: The more complex a country\u2019s products, the greater equality it enjoys relative to similar-sized countries with similar-sized economies.<\/figcaption><\/figure>\n

CAMBRIDGE, Mass. —\u00a0In a series of papers over the past 10 years, MIT Professor C\u00e9sar Hidalgo and his collaborators have argued that the complexity of a country\u2019s exports \u2014 not just their diversity but the expertise and technological infrastructure required to produce them \u2014 is a better predictor of future economic growth than factors economists have historically focused on, such as capital and education.<\/span><\/p>\n

Now, a new<\/span> paper<\/a> by Hidalgo and his colleagues, appearing in the journal World Development<\/em>, argues that everything else being equal, the complexity of a country\u2019s exports also correlates with its degree of economic equality: The more complex a country\u2019s products, the greater equality it enjoys relative to similar-sized countries with similar-sized economies.<\/span><\/p>\n

\u201cWhen people talk about the role of policy in inequality, there is an implicit assumption that you can always reduce inequality using only redistributive policies,\u201d says Hidalgo, the Asahi Broadcasting Corporation Associate Professor of Media Arts and Sciences at the MIT Media Lab. \u201cWhat these new results are telling us is that the effectiveness of policy is limited because inequality lives within a range of values that are determined by your underlying industrial structure.<\/span><\/p>\n

\u201cSo if you\u2019re a country like Venezuela, no matter how much money Chavez or Maduro gives out, you\u2019re not going to be able to reduce inequality, because, well, all the money is coming in from one industry, and the 30,000 people involved in that industry of course are going to have an advantage in the economy. While if you\u2019re in a country like Germany or Switzerland, where the economy is very diversified, and there are many people who are generating money in many different industries, firms are going to be under much more pressure to be more inclusive and redistributive.\u201d<\/span><\/p>\n

Joining Hidalgo on the paper are first author Dominik Hartmann, who was a postdoc in Hidalgo\u2019s group when the work was done and is now a research fellow at the Fraunhofer Center for International Management and Knowledge Economy in Leipzig, Germany; Cristian Jara-Figueroa and Manuel Aristar\u00e1n, MIT graduate students in media arts and sciences; and Miguel Guevara, a professor of computer science at Playa Ancha University in Valpara\u00edso, Chile, who earned his PhD at the MIT Media Lab.<\/span><\/p>\n

Quantifying complexity<\/strong><\/span><\/p>\n

For Hidalgo and his colleagues, the complexity of a product is related to the breadth of knowledge required to produce it. The PhDs who operate a billion-dollar chip-fabrication facility are repositories of knowledge, and the facility of itself is the embodiment of knowledge. But complexity also factors in the infrastructure and institutions that facilitate the aggregation of knowledge, such as reliable transportation and communication systems, and a culture of trust that enables productive collaboration.<\/span><\/p>\n

In the new study, rather than try to itemize and quantify all such factors \u2014 probably an impossible task \u2014 the researchers made a simplifying assumption: Complex products are rare products exported by countries with diverse export portfolios. For instance, both chromium ore and nonoptical microscopes are rare exports, but the Czech Republic, which is the second-leading exporter of nonoptical microscopes, has a more diverse export portfolio than South Africa, the leading exporter of chromium ore.<\/span><\/p>\n

The researchers compared each country\u2019s complexity measure to its Gini coefficient, the most widely used measure of income inequality. They also compared Gini coefficients to countries\u2019 per-capita gross domestic products (GDPs) and to standard measures of institutional development and education.<\/span><\/p>\n

Predictive power<\/strong><\/span><\/p>\n

According to the researchers\u2019 analysis of economic data from 1996 to 2008, per-capita GDP predicts only 36 percent of the variation in Gini coefficients, but product complexity predicts 58 percent. Combining per-capita GDP, export complexity, education levels, and population predicts 69 percent of variation. However, whereas leaving out any of the other three factors lowers that figure to about 68 percent, leaving out complexity lowers it to 61 percent, indicating that the complexity measure captures something crucial that the other factors leave out.<\/span><\/p>\n

Using trade data from 1963 to 2008, the researchers also showed that countries whose economic complexity increased, such as South Korea, saw reductions in income inequality, while countries whose economic complexity decreased, such as Norway, saw income inequality increase.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

The mix of products that countries export is a good predictor of income distribution, study finds. CAMBRIDGE, Mass. —\u00a0In a series of papers over the past 10 years, MIT Professor C\u00e9sar Hidalgo and his collaborators have argued that the complexity of a country\u2019s exports \u2014 not just their diversity but the expertise and technological infrastructure […]<\/p>\n","protected":false},"author":6,"featured_media":11604,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[34,17],"tags":[],"class_list":["post-11603","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-economics","category-research"],"featured_image_urls":{"full":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2017\/02\/MIT-Complex-Inequality_0.jpg",511,341,false],"thumbnail":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2017\/02\/MIT-Complex-Inequality_0-150x150.jpg",150,150,true],"medium":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2017\/02\/MIT-Complex-Inequality_0-300x200.jpg",300,200,true],"medium_large":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2017\/02\/MIT-Complex-Inequality_0.jpg",511,341,false],"large":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2017\/02\/MIT-Complex-Inequality_0.jpg",511,341,false],"1536x1536":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2017\/02\/MIT-Complex-Inequality_0.jpg",511,341,false],"2048x2048":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2017\/02\/MIT-Complex-Inequality_0.jpg",511,341,false],"ultp_layout_landscape_large":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2017\/02\/MIT-Complex-Inequality_0.jpg",511,341,false],"ultp_layout_landscape":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2017\/02\/MIT-Complex-Inequality_0.jpg",511,341,false],"ultp_layout_portrait":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2017\/02\/MIT-Complex-Inequality_0.jpg",511,341,false],"ultp_layout_square":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2017\/02\/MIT-Complex-Inequality_0.jpg",511,341,false],"newspaper-x-single-post":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2017\/02\/MIT-Complex-Inequality_0.jpg",511,341,false],"newspaper-x-recent-post-big":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2017\/02\/MIT-Complex-Inequality_0.jpg",511,341,false],"newspaper-x-recent-post-list-image":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2017\/02\/MIT-Complex-Inequality_0.jpg",95,63,false],"web-stories-poster-portrait":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2017\/02\/MIT-Complex-Inequality_0.jpg",511,341,false],"web-stories-publisher-logo":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2017\/02\/MIT-Complex-Inequality_0.jpg",96,64,false],"web-stories-thumbnail":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2017\/02\/MIT-Complex-Inequality_0.jpg",150,100,false]},"author_info":{"info":["Amrita Tuladhar"]},"category_info":"Economics<\/a> Research<\/a>","tag_info":"Research","comment_count":"0","_links":{"self":[{"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/posts\/11603","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/comments?post=11603"}],"version-history":[{"count":0,"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/posts\/11603\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/media\/11604"}],"wp:attachment":[{"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/media?parent=11603"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/categories?post=11603"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/tags?post=11603"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}