Determination of circularity indicators: A case study of MB International Company

Abstract

The circular economy (CE) is currently a worldwide popular concept that should ensure sustainable development and resource efficiency. It is established on the theory of consumption and use of resources in the process of production in a way that affects a limitation of adverse effects on the environment. Simultaneously, this concept creates additional value and reuse of the products. In the Republic of Serbia (RS), the idea of CE is still new and underdeveloped. Hence, this paper aims to explore the possibility of implementing a CE in companies that operate in the RS by adopting the already developed methodology in the European Union. This research was conducted by monitoring the production process in the company "MB INTERNACIONAL" that produced cardboard packaging. The obtained approximate value of Circular Indicator of this company was 0.47, which indicated that the company had excellent chances for full implementation of the CE model in the business with the application of specific measures. The low-budget and highbudget measures, which could improve the circularity level in the analyzed company, are also presented in the research.

Material Circularity Indicator for Thai Oil Palm Industry

“…The results showed an MCI value of 0.68, representing high circularity. Pavlovic et al (2020) applied a company-level MCI to paper and cardboard packaging and cupcake liners in the Republic of Serbia. The normalising factor is used as the mass of the product, and the results concluded the MCI of 0.47, representing the middle point between linear and circular economies.…”

How can organisations measure their level of circularity? A review of available tools

“…The most surprising difference is that each tool includes a different number of indicators, those included are not the same or they present the indicators on the same scale (as occurs in Vinante et al (2021)), and not all the tools include a global or total CE indicator; this is due to the lack of standardisation in this field. Moreover, the way the indicators are calculated is different and the transparency (concrete and visible information on the basis of the tool) also differs greatly (the most transparent tool is the CTI Tool, which provides the necessary information and the formulas used to calculate the indicators; Acodea and MCI are also transparent, as they use a methodology presented in the literature(Pavlović et al, 2020). The Circulytics tool, however, does not provide any information on how the different indicators are obtained, which can cause confusion for the user and also makes it difficult to compare results).…”