Assessing the Ecological Footprint and biocapacity of Portuguese cities: Critical results for environmental awareness and local management

Galli, Alessandro; Iha, Katsunori; Pires, Sara Moreno; Mancini, Maria Serena; Alves, Armando; Zokai, Golnar; Lin, David; Murthy, Adeline; Wackernagel, Mathis

doi:10.1016/j.cities.2019.102442

Cited by 158 publications

(90 citation statements)

References 49 publications

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“…The results in this study reveal that Taipei has a per capita built-up land footprint of 0.0091 gha, which is close to the average values obtained by a top-down calculation for Taipei (0.01 gha) [35], and is close to the built-up land footprint of six cities in Portugal (0.02 gha) [10]. This result shows that the bottom-up method in this study supports, and is supported by, the top-down national EF account.…”

Section: Suggestionssupporting

confidence: 86%

“…The EFA is obtained using two main approaches-top-down (composite) and bottom-up (component) [10,25,26]. The top-down method uses national data (including production, import and export data) to calculate a national footprint, which is then, through the multi-regional input-output (MRIO) table in the national currency [27] or actual material and energy flows, broken down using various consumption categories, and divided among various cities using household expenditure survey data.…”

Section: Ecological Footprintmentioning

confidence: 99%

“…This method compares the EFs of cities in various countries, but is only used to assess consumption levels of cities. A top-down method supports a more consistent comparison of urban and national footprints, and does not suffer from the time and cost limitations of extensive local data compilation and/or lifecycle analyses [10].…”

Section: Ecological Footprintmentioning

confidence: 99%

“…The bottom-up method, which does not calculate a national footprint, uses urban data (local currency input-output tables or physical flows of goods and energies) to calculate the EFs and it commonly requires extensive data collection [10,21]. The bottom-up method has been used in cities such as Cardiff, Kawasaki, Shenyang, Vancouver and York [9] and the metropolitan areas of 15 Canadian cities [28].…”

Section: Ecological Footprintmentioning

confidence: 99%

“…Even though no single index can alone capture complex concepts such as sustainability [7,8], it can feasibly be used to quantify and monitor various aspects of sustainability (such as environmental orientation). Therefore, a systematic method is required to analyze consistently multiple pressures on the environment that are generated by human beings [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

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Ecological Footprint and Water Footprint of Taipei

Lee

2019

Sustainability

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Taiwan suffers from many natural disasters and is vulnerable to climate change. A continuous increase in its ecological footprint (EF) would pose numerous threats to the city. Taipei is Taiwan's most densely populated city. Whether its citizens are consuming more resources because of their high income and high degree of urbanization, thereby burdening the environment, warrants study. In contrast to most top-down EF analyses, in this study, 445 residents were surveyed to calculate their carbon, built-up land and water footprints. Gender, occupation, age, education level and personal annual income do not influence water footprint or EF. Moreover, an individual's water footprint is not correlated with his or her EF. The built-up land footprint that is obtained in this bottom-up study is similar to that in Taiwan's top-down national footprint account. However, the personal carbon footprint found herein is smaller than that in the national footprint account, because this study asked respondents only about consumption related to everyday activities. Since Taipei residents have a high income and high daily consumption, the water footprint herein is larger than the top-down water footprint. This bottom-up EF analysis reflects residents' daily consumption patterns and can be used in future urban decision-making.

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Section: Suggestionssupporting

confidence: 86%

Section: Ecological Footprintmentioning

confidence: 99%

Section: Ecological Footprintmentioning

confidence: 99%

Section: Ecological Footprintmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Ecological Footprint and Water Footprint of Taipei

Lee

2019

Sustainability

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Green innovation and ecological footprint relationship for a sustainable development: Evidence from top 20 green innovator countries

Koseoglu

Yücel

Ulucak

2022

Sustainable Development

108

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The ecological pressure of humanity on the planet measured by ecological footprint has been enlarging, which upsurges environmental threats. At this point, green innovation emerges as an optimal solution to sustainable development which brings together economic growth and environmental protection. This paper explores the nexus between green innovation and ecological footprint for the case of the top 20 green innovator countries. As a comprehensive environmental sustainability indicator, the ecological footprint is employed to observe the environmental impacts of green innovation. We apply cross-sectional dependence tests, panel unit root tests and panel cointegration tests covering the period of 1993-2016. The results show that economic growth is the primary reason for environmental degradation while urbanization does not have a statistically significant effect. Renewable energy consumption has a moderating influence on ecological footprint. More importantly, environment-related technologies have a statistically significant effect on ecological footprint. Specifically, a 1% increase in environment-related technologies leads to a 0.129% decrease in ecological footprint. The findings of the study clearly demonstrate that it is possible to achieve economic growth while protecting the environment. The results of the study are expected to be motivating for countries' transition toward green innovation in that sustainable development can be achieved if countries invest in green innovation.

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Preserving health, protecting economies: Mitigating the impact of forest fires on healthcare expenditure and environmental sustainability

Soontha,

Bhat

2023

Sustainable Development

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Forest fires release harmful pollutants, endangering public health and incurring substantial healthcare costs. This study empirically investigates the environment‐health‐economy relationship, utilizing a robust MM‐QR approach. Findings divulge that economic growth, urbanization, and tourism drive healthcare expenditure, while environmental factors like forest fires, resource depletion, species extinction, and environmental policy stringency also increase health spending. Conversely, renewable energy consumption lowers healthcare costs, while coal extraction raises them. Empirical estimates reveal that increase in forest fires raises health spending by , socioeconomic indicators by , and environmental factors by . Conversely, a rise in renewable energy usage cuts healthcare expenses by . This study underscores the urgency of addressing environmental degradation, especially forest fires, to mitigate their impacts on human well‐being.

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Assessing the Ecological Footprint and biocapacity of Portuguese cities: Critical results for environmental awareness and local management

Cited by 158 publications

References 49 publications

Ecological Footprint and Water Footprint of Taipei

Ecological Footprint and Water Footprint of Taipei

Green innovation and ecological footprint relationship for a sustainable development: Evidence from top 20 green innovator countries

Preserving health, protecting economies: Mitigating the impact of forest fires on healthcare expenditure and environmental sustainability

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