Yu Xie, Dilanchiev Azer, Bibi Sidra
Party School of CPC Shenzhen Longhua District Committee, Shenzhen, 518000, Guangdong, China.
School of Business, International Blacksea University, Georgia.
Heliyon. 2024 Jan 21;10(3):e24640. doi: 10.1016/j.heliyon.2024.e24640. eCollection 2024 Feb 15.
Amidst a time when uncontrolled economic growth has frequently harmed the environment, it is crucial to reassess our strategy toward economic progress. The necessity to tackle climate change, resource depletion, and environmental deterioration demands a profound transition towards ecologically sound and sustainable economic development. This study examines the crucial significance of labor productivity in promoting sustainable economic growth and the effective utilization of resources in Asia, Europe, and South America from 1990 to 2020. To accomplish this, we utilized the Data Envelopment Analysis (DEA) methodology to examine a range of input and output characteristics thoroughly. These parameters included labor productivity, renewable energy usage, material efficiency, Green GDP, carbon footprint, and water footprint. The results of our study demonstrate significant regional variations in the efficient utilization of labor and resources to promote sustainable economic development. The findings of the DEA model emphasize that countries with higher labor productivity are more capable of pursuing an environmentally benign and sustainable financial path. Moreover, our research demonstrates a substantial association between enhanced labor productivity and diminished carbon and water footprints. This highlights the importance of labor productivity as a fundamental element for maximizing resource efficiency. In addition, we propose policy suggestions that motivate and improve worker efficiency as a practical strategy to accomplish both economic growth and environmental sustainability.
在不受控制的经济增长常常损害环境的时代,重新评估我们的经济发展战略至关重要。应对气候变化、资源枯竭和环境恶化的必要性要求向生态健全和可持续的经济发展进行深刻转变。本研究考察了1990年至2020年期间劳动生产率在促进亚洲、欧洲和南美洲可持续经济增长以及有效利用资源方面的关键意义。为此,我们运用数据包络分析(DEA)方法全面考察了一系列投入和产出特征。这些参数包括劳动生产率、可再生能源使用、材料效率、绿色国内生产总值、碳足迹和水足迹。我们的研究结果表明,在有效利用劳动力和资源以促进可持续经济发展方面存在显著的区域差异。DEA模型的研究结果强调,劳动生产率较高的国家更有能力走环境友好型和可持续的金融道路。此外,我们的研究表明劳动生产率提高与碳足迹和水足迹减少之间存在显著关联。这凸显了劳动生产率作为最大化资源效率的基本要素的重要性。此外,我们提出了激励和提高工人效率的政策建议,作为实现经济增长和环境可持续性的切实战略。