Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran.
Department of Economics, Applied Statistics, and International Business, New Mexico State University, 1320 E University Ave, Las Cruces, NM, USA 88003.
J Environ Manage. 2023 Jul 15;338:117796. doi: 10.1016/j.jenvman.2023.117796. Epub 2023 Mar 23.
Environmental efficiency plays a crucial role in achieving sustainable economic development. This study aims to enhance the current understanding of dynamic environmental efficiency by using Data Envelopment Analysis (DEA) in conjunction with the ecological footprint index. This study evaluates 27 OECD countries' environmental performance from 2000 to 2017, employing net capital stock, labor force, and energy consumption as inputs, ecological footprint as undesirable output, and GDP as desirable output. We utilize 16 window Slack-Based Measurement DEA (SBM-DEA) models, each representing consecutive years within the observation period. Additionally, we adopt the Global Malmquist-Luenberger Index (GMLI) techniques to facilitate a simultaneous evaluation of the efficiency levels for each country. Our findings reveal that the United Kingdom and Lithuania were the most and least ecologically efficient countries among the 27 OECD countries, respectively. Over the 18-year observation period, all countries showed both progress and setbacks in environmental efficiency, with a modest overall improvement. Poland, Denmark, Slovakia, and Lithuania were the most improved countries in environmental performance, while Canada and Japan showed the most significant regressions in environmental efficiency. We highlight the need for policymakers to prioritize sustainable economic growth and consider ecological footprints when making economic decisions to enhance environmental efficiency in OECD countries. Our findings have can guide policymakers in designing effective policies and strategies to enhance environmental efficiency and promote sustainable economic development.
环境效率在实现可持续经济发展方面起着至关重要的作用。本研究旨在通过结合生态足迹指数使用数据包络分析(DEA)来增强对动态环境效率的现有理解。本研究评估了 2000 年至 2017 年期间 27 个经合组织国家的环境绩效,使用净资本存量、劳动力和能源消耗作为投入,生态足迹作为不良产出,以及 GDP 作为理想产出。我们利用 16 个窗口基于松弛的测量 DEA(SBM-DEA)模型,每个模型代表观测期内的连续年份。此外,我们采用全球 Malmquist-Luenberger 指数(GMLI)技术来同时评估每个国家的效率水平。我们的研究结果表明,英国和立陶宛是 27 个经合组织国家中最具和最不生态效率的国家。在 18 年的观测期间,所有国家在环境效率方面都取得了进步和倒退,总体上略有改善。波兰、丹麦、斯洛伐克和立陶宛在环境绩效方面的改善最大,而加拿大和日本在环境效率方面的倒退最为显著。我们强调决策者需要在做出经济决策时优先考虑可持续经济增长并考虑生态足迹,以提高经合组织国家的环境效率。我们的研究结果可以为政策制定者提供指导,帮助他们设计有效的政策和战略,以提高环境效率并促进可持续经济发展。