Circular Economy Innovation and Environmental Sustainability Impact on Economic Growth: An Integrated Model for Sustainable Development

TLDR

The study investigates how circular economy indicators—such as waste recycling, environmental taxes, and sustainable development components—relate to environmental and economic growth, noting that developed economies increasingly shift from linear to zero‑waste models. The authors aim to identify the key circular economy components that support sustainability and development, assess their impact on EU economic growth, and test whether environmental, social, and economic sustainability indicators significantly influence growth. Using fixed‑effects panel data and Arellano–Bond GMM estimation, the authors model five variables—environmental tax rate, recycling rate, private investment/jobs, recycling patents, and trade of recyclable raw materials—identified through literature review. Both econometric models reveal a strong, positive link between circular economy practices and economic growth, underscoring the importance of sustainability, innovation, and no‑waste investment for wealth creation.

Abstract

This study examines the link between selected indicators of a circular economy, including essential components of environmental and economic growth. Developed economies are continuously innovating to promote growth and giving governmental support to the producers to move from linear economies to circular ones. Hence, waste materials in industrial systems are recycled or re-used, improving the efficiency of using finite resources with the no-waste approach. The aim of this paper is the following: (1) to identify the main components of a circular economy, which are also supportive of sustainability and development; (2) to check the impact of these variables in the economic growth of European Union countries; (3) to find out if the three components of sustainable development adopted to circular economy (CE) indicators (environmental–social–economic) are significant to economic growth. We used a fixed effect panel data analysis to identify the circular economy’s impact on the economic growth of European countries. Additionally, to support the results of the regression analysis, we employed a second method—generalized methods of moments—computing the Arellano–Bond dynamic panel data estimation method. The model included five independent variables, such as environmental tax rate, a recycling rate of waste, private investment and jobs in a circular economy, patents related to recycling, and trade of recyclable raw materials. The identification of each variable was made based on a deep search through literature. The results of both econometric models showed a strong and positive correlation between a circular economy to economic growth, highlighting the crucial role of sustainability, innovation, and investment in no-waste initiatives to promote wealth.