This paper aims to contribute to the growing body of research literature on assessing environmental efficiency by introducing a new key performance indicator (KPIs) in more complete and dependable aspects of ecological footprint indices. For this purpose, the DEA model considering three inputs (energy consumption, labor force, and capital stock), one desirable output (GDP), and different undesirable outputs (CO emissions, ecological footprint indicators) are applied to 27 OECD countries from 2000 to 2017. According to the results, Norway, Luxemburg, and United Kingdom are the most environmentally efficient countries in terms of environmental efficiency and ecological footprint efficiency. On the other hand, the lowest environmental and ecological footprint efficiencies were in countries like Lithuania, Slovak, Czech, Estonia, and the USA. In addition, these nations fare poorly regarding their carbon footprint and farmland efficiency. In further detail, Lithuania, South Korea, Portugal, and Spain have a critical status in fishing ground efficiency, while the forest area efficiency is very acute in Estonia, Latvia, Lithuania, and Czech.
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http://dx.doi.org/10.1007/s00267-022-01747-z | DOI Listing |
J Environ Manage
December 2024
School of Management and Economics, Beijing Institute of Technology, Beijing, 100081, China; Faculty of Economics, Namdinh University of Technology Education, Namdinh, 07113, Viet Nam.
Ecological footprint (EF) is a useful tool for benchmarking environmental performance and monitoring progress toward a sustainable future. The influence of economic, developmental, and governance factors on EF poses a significant threat to ecological balance. However, existing studies have largely overlooked the interactive relationships among these factors and their impacts on the EF across different regions.
View Article and Find Full Text PDFMar Pollut Bull
December 2024
Persian Gulf and Oman Sea Ecological research center, Iranian Fisheries Science Research Institute, Agricultural Research Education and Extension Organization (AREEO), Bandar Abbas, Iran.
Microplastic (MP) pollution is an emerging environmental problem worldwide and has caused widespread concern both in terrestrial and aquatic ecosystems due to their potential impacts on the human health, and health of aquatic organisms and the environment. Little is known about the exposure of top marine predators to MP contamination (debris 0.1μm - <5mm, also called MPs).
View Article and Find Full Text PDFYing Yong Sheng Tai Xue Bao
October 2024
Shenyang Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China.
Quantitative evaluation of urban ecological carrying capacity is a critical foundation for measuring urban sustainable development in the new era. This review would enrich the concept and connotation of urban ecological carrying capacity by sorting out its components and characteristics. We categorized the methods for quantifying urban ecological carrying capacity into static evaluation methods, including ecological footprint method, comprehensive evaluation method, state space method, net primary productivity method, and carbon-oxygen balance method, as well as dynamic simulation prediction methods, including system dynamics models, BP neural network prediction models, and grey prediction models.
View Article and Find Full Text PDFEur J Neurosci
January 2025
Unité INSERM 1172, Faculté de Médecine, Université de Lille, Lille, France.
Patients with Parkinson's disease (PD) notably exhibit impairments in posture and visual attention. The objective of the present study was to determine whether PD patients were able to exhibit adaptive postural control in a goal-directed visual task. We hypothesized that the patients would reduce their centre of pressure (COP) movement and/or postural sway to a lesser extent than age-matched controls in the goal-directed visual (search) task, compared with the control free-viewing task (i.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
December 2024
Accounting Research Institute (ARI HICoE) & Faculty of Accountancy, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia.
This research employs the treadmill of production (ToP) and legitimacy theories to examine the relationship between deforestation, ecological footprints, and corporate environmental responsibility (CER) in the context of green criminology within the Malaysian palm oil industry. The study employs a regression analysis to assess the connection between deforestation (total palm oil-planted hectares) and ecological footprints data spanning 2008 to 2018. Additionally, content analysis investigates the CER practices of 40 palm oil companies listed on Bursa Malaysia between 2016 and 2019.
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