Institutional Arrangement and Technology Innovation: A Negative Binomial Model Analysis

Abstract

This study investigates the relationship between institutional arrangements and technology innovation using a negative binomial model. Institutions play a critical role in shaping the innovation landscape by providing the regulatory framework, infrastructure, and incentives necessary for technological advancement. Drawing on data from a diverse range of industries and countries, this research employs a negative binomial regression model to examine the impact of institutional factors such as intellectual property rights protection, government support for research and development, regulatory efficiency, and investment climate on the rate and intensity of technology innovation activities. The study also explores potential interaction effects between institutional variables and firm-specific characteristics, industry dynamics, and national contexts. By quantitatively analyzing the influence of institutional arrangements on technology innovation outcomes, this research provides valuable insights for policymakers, industry leaders, and researchers seeking to enhance innovation ecosystems and promote technological progress. The findings contribute to a better understanding of the institutional determinants of technology innovation and offer actionable recommendations for fostering a conducive environment for innovation-driven growth and competitiveness.