{"id":471909,"date":"2023-03-27T15:50:25","date_gmt":"2023-03-27T18:50:25","guid":{"rendered":"https:\/\/revistapesquisa.fapesp.br\/?p=471909"},"modified":"2023-03-27T15:50:25","modified_gmt":"2023-03-27T18:50:25","slug":"indicator-links-company-growth-to-ability-to-innovate","status":"publish","type":"post","link":"https:\/\/revistapesquisa.fapesp.br\/en\/indicator-links-company-growth-to-ability-to-innovate\/","title":{"rendered":"Indicator links company growth to ability to innovate"},"content":{"rendered":"

A multi-stakeholder group of economists and researchers from the Brazilian Senate, the Institute of Geography and Statistics (IBGE), and other institutions has proposed a new approach to measuring innovation impact that focuses on top-performing firms for both innovation and job growth. The method uses data that Brazilian companies periodically submit to the IBGE\u2019s Innovation Survey (PINTEC) and Central Companies Register (CEMPRE).<\/p>\n

According to their study, published in September in Revista Brasileira de Inova\u00e7\u00e3o<\/em>, around 9,000 companies reported more than 20% headcount growth per year from 2008 to 2014, out of a total of 100,000 Brazilian firms with more than 10 employees. During this period, between 43% and 49% of these firms produced some form of innovation. Using statistical analysis, the authors have created a family of indicators they have dubbed Dinnov<\/em>\u2014an abbreviation for \u201cdynamic,\u201d or high-growth, and \u201cinnovative\u201d\u2014to measure the contributions to the economy from firms meeting these two criteria. The series comprises four different indexes that the authors believe are easier to understand than other existing metrics. The Dinnov-empresas<\/em> index, for example, measures the number of high-growth and innovative companies out of the total number of firms. Similarly, the Dinnov-emprego<\/em> index is the ratio of the headcount of innovative firms to that of total firms. Dinnov-valor adicionado<\/em> measures the wealth created by high-growth and innovative firms. The fourth index, called Dinnov-Simplex<\/em>, measures the economic contribution from high-growth and innovative firms, estimated in terms of the innovation rate times the high-growth rate in a given country.<\/p>\n

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CNH Industrial<\/span>A CNH Industrial distribution center in SorocabaCNH Industrial<\/span><\/p><\/div>\n

\u201cUltimately, the question we want to answer is: what part of economic activity or growth is driven by innovation?\u201d says economist Eduardo Baumgratz Viotti, a legislative advisor to the Federal Senate on science and technology policy, and the lead author of the paper. He notes that innovation-driven economic progress often comes through greater productivity and competitiveness, and that combining these two attributes\u2014high growth and innovation\u2014into a single index could be useful in measuring the befits for the economy and society. \u201cEconomic growth and innovation combine to create a virtuous cycle. Innovation drives business growth and new business creation. Growing businesses have the means and the opportunity to innovate. But for firms that are not growing it\u2019s a struggle for survival, and they often have limited resources to invest in new products and processes.\u201d<\/p>\n

To test their methodology, the research group compared data for Brazil to 16 European countries, and the results were surprising. Because the data from the PINTEC survey was for a period when Brazil enjoyed strong economic growth, from 2008 to 2014, the country scored particularly well in the index. During this period, the average Dinnov-Simplex<\/em> value for Brazil was estimated at 2.5%, more than twice the average for European countries at 1.1%. But the gap is not explained by higher innovation rates in Brazil than in European countries, which were similar at respectively 36.7% and 36.3%. Instead, Brazil\u2019s exceptional performance is explained by a 6.9% rate of high-growth companies during the survey period, compared to only 1.9% on average for the European countries included in the comparison. \u201cBrazil\u2019s economy grew at an average rate of 3.1% per year, more than 10 times higher than the average for the 16 European economies we analyzed,\u201d says Viotti.<\/p>\n

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Embraer<\/span>An Embraer aerospace engineer in S\u00e3o Jos\u00e9 dos CamposEmbraer<\/span><\/p><\/div>\n

He recognizes that further research is needed to validate the methodology. \u201cThis exercise has proven that the new metrics work, but additional research covering a longer time horizon and a larger number of countries will be needed to validate our proposed methodology,\u201d he says. For lack of data, the researchers were unable to test the new metrics for the recent period of economic contraction. The most recent PINTEC survey, for 2017, was only published in 2021 (see <\/em>Pesquisa FAPESP issue no. 291<\/em><\/a>). In the survey for the period 2015\u20132017, Brazilian companies had an average innovation rate of 33.6%, down from 36% in the previous survey for 2012\u20132014. The 2018\u20132020 survey has yet to be launched. \u201cThe PINTEC survey\u2019s historical series goes back to 2000, but has recently been affected by the IBGE\u2019s tightening budget,\u201d notes Viotti.<\/p>\n

The idea to create an index focused on innovative and high-growth firms emerged within a broader discussion around the challenges of compiling metrics to effectively inform policymaking. Many of the conventional metrics have known limitations. One example is the ratio of research and development (R&D) investment to Gross Domestic Product (GDP). \u201cThe world\u2019s top manufacturing countries have strong R&D capabilities, and high and growing R&D spend. But these metrics are recognized to be limited in their ability to account for the broad set of activities and interactions involved in the innovation process,\u201d says economist Sandra Hollanda, an advisor to a FAPESP program that is building a framework of Science, Technology & Innovation metrics for the state of S\u00e3o Paulo.<\/p>\n

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Petrobras<\/span>A Petrobras Research, Development, and Innovation Center in Rio de JaneiroPetrobras<\/span><\/p><\/div>\n

Eduardo Viotti says there is now a consensus as to why Brazil has made little progress in innovation despite the country\u2019s growing scientific output. \u201cWhile innovation has been increasingly a focus of discussions, plans, programs, and policies, it appears we have yet to figure out how to develop effective innovation policies. Part of the problem may be a legacy from past policies designed around the simplistic assumption that a virtually direct relationship exists between R&D investment and innovation outcomes,\u201d he explains. The approach to assessing R&D investment since the 1960s was refined in the 1992 \u201cOslo Manual\u201d\u2014a set of guidelines for collecting and interpreting innovation data, published by the Organization for Economic Cooperation and Development (OECD). This manual, which has been adopted in more than 80 countries, describes the diverse types of innovation and their attributes.<\/p>\n

In the past decade, the debate on how best to measure innovation impact gained new impetus when the European Union (EU) decided to create new metrics of its own. The rationale for the proposed model was that firms are the arena where innovation takes place, but are dependent on public and private infrastructure, collaboration between universities, corporations, and other partners, supportive legislation, and a favorable economic environment. The policymakers\u2019 goal with the new metrics was to equip EU member countries to compete with the US and Asian economies. Their approach combines R&D investment targets with a metric for innovation outcomes. In 2010 the European Commission organized a high-level panel of economists, statisticians, and business leaders to design a framework for measuring the contributions to the economy from innovative enterprises. The panel also aimed to develop metrics for demonstrating the practical outcomes and impacts on society from innovation. \u201cThe EU had intended to break away from compound, multi-component indicators, which while useful for communicating with and gaining support from the public, and for international benchmarking, are not as useful to inform policymaking,\u201d explains Hollanda.<\/p>\n

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General Motors<\/span>A General Motors plant in S\u00e3o Caetano do SulGeneral Motors<\/span><\/p><\/div>\n

But after extensive discussions, the panel ultimately arrived at a multi-component metric that includes patents, highly skilled jobs, high-growth companies, knowledge-intensive exports, and other components. The proposed methodology drew significant criticism. Due to the limited availability of data, many components were still based on innovation inputs rather than practical outcomes. \u201cFurthermore, recent developments such as the advent of global supply chains and the digital economy were not well factored in the EU\u2019s indicators for jobs and exports,\u201d says Sandra Hollanda.<\/p>\n

The Dinnov<\/em> index family was designed to revive the EU\u2019s original goal of developing a simpler model and one based on innovative and high-employment firms. Andr\u00e9 Tosi Furtado, an economist in the Department of Science and Technology Policy (DPCT) at the University of Campinas (UNICAMP), says the new index series can be useful in tracking firms\u2019 performance over time, but he sees obstacles to meeting some of its other goals. One issue is in international benchmarking. \u201cIt seems problematic to compare the development of products, processes, or services between Brazil and European countries as if they are comparable. It is likely that the definition of innovation is different in Brazil than, say, in Denmark,\u201d says Furtado. \u201cMetrics such as the innovation rate may not accurately reflect firms\u2019 innovation performance. While efforts have recently been made to distinguish products or processes that are innovative only within the firms that developed them from those that are innovative at a national or global level, this distinction has not been made in the Dinnov<\/em> index series,\u201d he adds.<\/p>\n

Furtado also notes that the innovation rate indicator may not be sensitive enough for a rigorous assessment. \u201cThis is the issue that many took with the \u201cOslo Manual.\u201d The EU\u2019s new product metric has avoided using this methodology, but it is still present in the Dinnov<\/em> series.\u201d The reason the European Union chose a composite indicator to measure innovation outcomes, explains Furtado, was likely to account for the myriad aspects involved in the complex process of innovation.<\/p>\n","protected":false},"excerpt":{"rendered":"Group proposes methodology for measuring the impacts of innovation based on the performance of businesses that create many jobs","protected":false},"author":11,"featured_media":471922,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_exactmetrics_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"footnotes":""},"categories":[169],"tags":[225,243],"coauthors":[98],"class_list":["post-471909","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technology","tag-economy","tag-innovation"],"acf":[],"_links":{"self":[{"href":"https:\/\/revistapesquisa.fapesp.br\/en\/wp-json\/wp\/v2\/posts\/471909","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/revistapesquisa.fapesp.br\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/revistapesquisa.fapesp.br\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/revistapesquisa.fapesp.br\/en\/wp-json\/wp\/v2\/users\/11"}],"replies":[{"embeddable":true,"href":"https:\/\/revistapesquisa.fapesp.br\/en\/wp-json\/wp\/v2\/comments?post=471909"}],"version-history":[{"count":1,"href":"https:\/\/revistapesquisa.fapesp.br\/en\/wp-json\/wp\/v2\/posts\/471909\/revisions"}],"predecessor-version":[{"id":471930,"href":"https:\/\/revistapesquisa.fapesp.br\/en\/wp-json\/wp\/v2\/posts\/471909\/revisions\/471930"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/revistapesquisa.fapesp.br\/en\/wp-json\/wp\/v2\/media\/471922"}],"wp:attachment":[{"href":"https:\/\/revistapesquisa.fapesp.br\/en\/wp-json\/wp\/v2\/media?parent=471909"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/revistapesquisa.fapesp.br\/en\/wp-json\/wp\/v2\/categories?post=471909"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/revistapesquisa.fapesp.br\/en\/wp-json\/wp\/v2\/tags?post=471909"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/revistapesquisa.fapesp.br\/en\/wp-json\/wp\/v2\/coauthors?post=471909"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}