Çınar İbrahim Tuğrul, Korkmaz İlhan, Şişman Muhammet Yunus
Department of Economics, Faculty of Economics, Anadolu University, Eskisehir, Turkey.
Department of Economics, Faculty of Economics and Administrative Sciences, Dumlupınar University, Kutahya, Turkey.
Environ Sci Pollut Res Int. 2023 Mar;30(15):43013-43023. doi: 10.1007/s11356-022-19859-8. Epub 2022 Mar 29.
Green production is one of the major debates as environmental degradation poses threats globally. The paper attempts to explore the relationship between green production and environmental quality by using Economic Fitness approach. We develop a Green Complexity Index (GCI) dataset consisting of 290 traded green-labeled products and Economic Fitness Index (EFI) for the US states between 2002 and 2018. We analyze the environmental performance of green production using the GCI and EFI data at the sub-national level. Findings indicate that exporting more complex green products has insignificant effects on local (i.e., sulfur dioxide, particulate Matter 10) and global polluters such as carbon dioxide, even accounting for per capita income. Yet, economic fitness has a significant negative impact on the emission levels implying that sophisticated production significantly improves environmental quality in the USA. The insignificant impact of GCI on environmental degradation suggests that green product classifications should incorporate the production and end-use stages of goods to limit the adverse environmental effects of green-labeled products.
由于环境退化在全球构成威胁,绿色生产是主要争论点之一。本文试图通过使用经济适应性方法来探索绿色生产与环境质量之间的关系。我们编制了一个绿色复杂性指数(GCI)数据集,该数据集由290种贸易绿色标签产品组成,并编制了2002年至2018年美国各州的经济适应性指数(EFI)。我们在次国家层面使用GCI和EFI数据来分析绿色生产的环境绩效。研究结果表明,出口更复杂的绿色产品对当地污染物(即二氧化硫、颗粒物10)以及全球污染物如二氧化碳的影响不显著,即使考虑人均收入也是如此。然而,经济适应性对排放水平有显著的负面影响,这意味着先进的生产显著改善了美国的环境质量。GCI对环境退化的不显著影响表明,绿色产品分类应纳入产品的生产和最终使用阶段,以限制绿色标签产品的不利环境影响。