Fipe research reveals that iFood accounts for R$ 32 billion of national GDP in 2020

A study by the Economic Research Institute Foundation (Fipe) reveals that the company's operations generated R$31.8 billion in 2020. Find out more.
  • iFood generates around 730 thousand jobs, equivalent to 0.72% of the employed population in 2020
  • Delivery drivers' average earnings per hour worked on iFood are 165.5% higher than the hourly remuneration these workers would have in the traditional market
  • For every 10 delivery drivers registered on the iFood app, only 3 were previously registered in the Ministry of Labor's records.

O study Socioeconomic Impact of iFood Operations in Brazil, by the Economic Research Institute Foundation (Fipe), reveals that the company's operations generated R$31.8 billion in 2020 – the equivalent of 0.43% of the national GDP.

“At iFood, we believe that the development of our business is directly related to the development of the country, with the generation of income and new opportunities for everyone. The FIPE study provides important information that helps us identify more about the profile of these workers, their remuneration compared to other occupations and regional characteristics of the labor market”, Lucas Pittioni, director of Public Policies at iFood.

In relation to the job market, the research indicated that iFood generated around 730 thousand jobs, equivalent to 0.72% of the employed population in 2020. Furthermore, for every 100 direct jobs, 60 additional jobs are created in the Brazilian economy , which includes indirect and induced effects on the value chain associated with iFood.

For every R$1,000 spent by the consumer on the iFood platform, an additional R$1,414 is generated in the Brazilian economy. If we look at tax collection, for every R$1 collected in taxes through iFood's activities, another R$1.11 is collected in its chain (ICMS, IPI, ISS and others).

Commissioned by iFood and carried out by Fipe, the study also shows that the average earnings of delivery drivers per hour worked on the platform are 165.5% higher than the hourly remuneration that these workers would have in the traditional market.

“One of the objectives of the study was to evaluate the nature and magnitude of the productive links in iFood’s operations, revealing the interdependencies between the decisions of consumers and producers intermediated by the company”, explains professor Eduardo Amaral Haddad, one of those responsible for the Fipe research . According to him, the objective was to quantify the impacts of the delivery platform on the real economy, providing a disaggregated perspective of its value chain.

“Current discussions on the regulation of such services require consistent information to enrich public debate and build narratives to involve interested parties in decision-making. The assessment of systemic economic impacts adds an important dimension to this discussion, highlighting the contribution of iFood activities to the generation of added value and the creation of jobs in the local and national economies”, he says.

“iFood has acted proactively to build regulation that guarantees social protection, security and guaranteed minimum earnings for digital platform workers”, says Lucas Pittioni, director of Public Policies at iFood.

Methodology

The methodology used is input-output analysis:

  • It is a technique that seeks map the national economy as a series of interconnected sectors
  • This makes it possible to estimate the effects initial, direct, indirect and induced in the value chain of iFood operations in all sectors of the economy

Given the structure of the available input-output matrix, it will be necessary to establish a special methodology to isolate the “deliveries by app” (iFood) and its effects on the Brazilian economy
For “isolate” iFood’s operating segment, Fipe used the company's proprietary data and public information as a reference for the size of the sector, the breakdown of costs and revenues, and the sales structure.

  • The app delivery sector and, therefore, iFood couriers were modeled in the input-output matrix both in the family consumption structure and in the structure of intermediary transactions
  • Revenues proceeds from deliveries were distributed between iFood and service providers (delivery drivers, restaurants and market)
  • Expenses operating expenses (fixed and variable), consumption and savings expenses.

For more information

Machete download of the FIPE study in full

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