The biocapacity adjusted economic growth. Developing a new indicator

Gabbi, Giampaolo; Matthias, Massimo; Patrizi, Nicoletta; Pulselli, Federico Maria; Bastianoni, Simone

doi:10.1016/j.ecolind.2020.107318

Cited by 16 publications

(5 citation statements)

References 24 publications

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“…One of the main objectives of the United Nations Sustainable Development Goal (SDG) 12, which focuses on responsible production and consumption for sustainable growth, is to mitigate the environmental degradation associated with population and economic growth, thereby facilitating a transition to a greener and more socially inclusive global economy 1 , 2 . However, this transition towards reducing our ecological footprint may be compromised, as all countries tend to prioritise economic growth over implementing mitigation actions 3 , 4 . Due to policies favouring economic growth and the advent of cheaper and more optimised energy sources, the demand for natural resources and their subsequent processing has dramatically increased since the last century, consequently enlarging our ecological footprint 5 – 7 .…”

Section: Introductionmentioning

confidence: 99%

“…Essentially, the EF aims to quantify the consumption of natural resources and the extent to which this consumption can be replenished by nature 14 . Within the EF terminology, ‘biocapacity’ refers to the capability of natural environments to regenerate the land surfaces utilised by humans 3 . The EF is considered an appropriate environmental quality index because it includes land use for crops, grazing, forests, fishing grounds, built-up areas, and the carbon footprint.…”

Section: Introductionmentioning

confidence: 99%

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Forecasting the ecological footprint of G20 countries in the next 30 years

Eufrasio Espinosa,

Lenny Koh

2024

Sci Rep

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The Ecological Footprint evaluates the difference between the availability of renewable resources and the extent of human consumption of these resources. Over the past few decades, historical records have shown an accelerated decline in the availability of resources. Based on national footprint and biocapacity accounts, this analysis aims to advance the forecasting of the G20 countries' ecological footprints over a 30-year time frame. We employed a time series forecasting approach implemented in Python, which included-modular regression (Prophet) and Autoregressive Integrated Moving Average (ARIMA & Auto-ARIMA) methods. We evaluated and combined the performance of these three methods. The results indicated that among the largest economies of the G20, only four countries are projected to have a positive ecological footprint balance by 2050. These countries share the common denominator of large land areas and a moderate population growth projection. However, the overall trend of the indicator suggests that it will continue to decline.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Forecasting the ecological footprint of G20 countries in the next 30 years

Eufrasio Espinosa,

Lenny Koh

2024

Sci Rep

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“…Secondly, the development may leave the well-being of the environment and the poor behind, resulting in rising inequality and environmental degradation. Hence, growth receives many criticisms as it fails to conduct inclusive and sustainable development [54].…”

Section: A Dependent Variables (Dv)mentioning

confidence: 99%

A Revisit of the Energy-Economy-Environment Nexus with Multi-Regression

Asri¹,

Yusgiantoro²

2022

Int. J. Adv. Sci. Eng. Inf. Technol.

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Economic development leaves its residues on the environment, then it is believed as the cause of environmental damage. Recognizing the real cause of environmental damage during the development process is crucial, as it could prevent the government from using dirty energy sources in developing the economy. This study believes that the real cause of environmental degradation is energy consumption. Considering the importance of the energy-economy-environmental nexus where energy is hypothesized as the driver of the two-the economy and the environment, this study conducts a multi-regression analysis where the economy and environmental degradation are the dependent variables affected by energy consumption as the independent variable. Thus, the study aims to investigate whether energy consumption is the real driver of the economy and environmental degradation by comparing energy consumption impacts on both. The sample was all countries (world and economies group) from 1990-2013. The economy's elements expected to contribute to CO2 emissions (FDI, Trade, Urban population) are also under investigation. The results show that the energy coefficients are always positive and have the largest value in almost all models, indicating that energy drives the economy and environmental quality (represented by CO2 emissions). Following the second hypothesis, the impacts of Urban population, FDI, and Trade on CO2 emissions depend on the development level of the three variables. This study is expected to make the policymakers aware that the energy type they choose could improve the economy and environmental quality or put both as a trade-off.

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“…According to several studies [11][12][13] performed on the modern ways of living around the world, the National Footprint and Biocapacity accounts declared in 2021 that people living in the United States would need the resources of the equivalent of almost five Earths in order to balance the consumption of raw materials with their natural regeneration. Similarly, Australian people have an impact that is quantifiable in the need of 4.6 Earths, while Russians would need 3.4.…”

Section: Introductionmentioning

confidence: 99%

Sustainability Indicators for Materials and Processes

Erto

2023

Sustainability

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The concept of sustainability is nowadays employed to compare manufacturing processes or to define the correct path for material selection. Sometimes, this concept is only partially defined, including just low costs, profit maximization and/or CO2 emission reduction. Actually, a process or material can be defined as sustainable only if an objective function related to the economic, environmental and social impacts is simultaneously maximized. To this aim, it is necessary to define appropriate and specific sustainability indicators (i.e., values related to the economic, social and environmental aspects of a process or material under analysis). These indicators come about from simple calculations, and they are defined in terms of percentages and represented and compared using radar diagrams. Then, a process or specific material is identified by an objective function (i.e., the area included by the polygon that links the scores reported on the diagram). The scope of this representation of data is to individuate the major weaknesses of the process/material, proposing methods of optimization and trying to maximize the objective function in the retrieved diagram. This work aims to propose a general and simple method to calculate sustainability indicators on the basis of specific definitions related to a given process/material. To highlight the potential of this calculation and comparison instrument, two case studies are proposed: the first aims at comparing processes for the production of energy, while the second aims at driving the choice of manufacturing material. The selected indicators and adopted algorithm allowed for the identification of hydroelectric and eolic as the most sustainable processes for energy production; for materials, the results strictly depended on the assumptions made regarding favorable mechanical properties.

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The biocapacity adjusted economic growth. Developing a new indicator

Cited by 16 publications

References 24 publications

Forecasting the ecological footprint of G20 countries in the next 30 years

Forecasting the ecological footprint of G20 countries in the next 30 years

A Revisit of the Energy-Economy-Environment Nexus with Multi-Regression

Sustainability Indicators for Materials and Processes

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