Faculty of Economics, National Economics University, Hanoi, Vietnam.
Environ Sci Pollut Res Int. 2023 Aug;30(39):90256-90275. doi: 10.1007/s11356-023-27672-0. Epub 2023 May 30.
The topic of whether economic complexity or close proximity to a product produces favorable conditions to aid nations in transitioning to the circular economy is addressed in this article. Six distinct indicators are used to assess the performance of circularity. The amount of municipal garbage, the amount of circular materials utilized, the number of circularity patents, the rate of recycling waste, the rate of recycling biowaste, and the rate of recycling electronic waste are some examples of these metrics. By using various econometric techniques (namely, a panel-corrected standard error (PCSE) model, a feasible generalized least square estimate (FGLS) model, and the two-step general method of moment (the two-step GMM), our research demonstrates how economic complexity and close proximity to a product have varied nonlinear impacts on circularity. We do, however, offer empirical proof that, particularly over the long term, a country's closeness to its products may significantly improve its performance in terms of circularity. Although economic complexity is a crucial enabler of circularity, it may also become too complicated, which could impede the process.
本文探讨了经济复杂性还是接近产品本身更能为国家向循环经济转型创造有利条件这一问题。本文使用了六个不同的指标来评估循环性。这些指标包括城市垃圾量、循环利用材料的数量、循环性专利数量、废物回收率、生物废物回收率和电子废物回收率。通过使用各种计量经济学技术(即面板校正标准误差(PCSE)模型、可行广义最小二乘估计(FGLS)模型和两步广义矩方法(两步 GMM)),我们的研究表明经济复杂性和接近产品对循环性的影响是不同的非线性。然而,我们提供了实证证据表明,特别是在长期内,一个国家与其产品的接近程度可能会显著提高其在循环性方面的表现。虽然经济复杂性是循环性的关键推动因素,但它也可能变得过于复杂,从而阻碍这一进程。