Innovameter: Agent-based modeling of innovation determinants in American and European countries

This article discusses the dynamics of innovation in America and Europe, focusing on variables such as access to technology, education, and life expectancy. To do this, the article proposes an agent-based model called the Innovameter. The dependent variable i…
Shantel Reichert · 4 days ago · 2 minutes read


Innovation and Economic Growth

Factors Influencing Innovation

Innovation is influenced by two dimensions: production and mass consumption (focused on increasing organizational productivity, with a key role played by government) and economic growth (determined by competitiveness, internationalization of markets, and globalization, which create challenges such as eradicating poverty and reducing inequality).

However, the COVID-19 pandemic has led to a slowdown in productivity growth and other challenges. This slowdown is at its lowest level in history.

Additionally, barriers to technology adoption and diffusion must be overcome, and countries need to develop new innovation strategies and economic policies to improve productivity, economic growth, and social welfare.

Leading Countries in Innovation

The top 15 countries leading in innovation are Switzerland, United States of America, Sweden, United Kingdom, Netherlands, Republic of Korea, Singapore, Germany, Finland, Denmark, China, France, Japan, Hong Kong, and Canada.

Modeling Innovation

There is a gap in the extant literature regarding models that can dynamically and holistically simulate the complex interaction of multiple variables that contribute to a country's innovative capacity. Research has shown that determinants of innovation are not uniform across countries, resulting in disparities in innovation patterns between developed and developing countries.

Agent-Based Simulation Models

Agent-based simulation models are being used to study innovation, as they allow for a dynamic and predictive understanding of innovation processes. These models can incorporate multiple factors that influence innovation, such as education, income, life expectancy, technology use, and R&D investment.

Factors Facilitating Innovation

A study using an agent-based simulation model found that the variables most strongly correlated with the overall innovation index were average years of schooling, life expectancy at birth, and research and development statistics.

These factors are crucial for innovation because education fosters creativity and critical thinking, a healthy and long-lived population can contribute to innovation for a longer period, and access to technology enables the development of novel concepts and solutions.

Areas for Further Research

Further research should focus on how different levels of access to technology impact different industries and how technological barriers affect emerging versus advanced economies. Additionally, the impact of different education systems and investment policies on a country's capacity for innovation should be examined, as well as the relationship between life expectancy and innovation.