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It is crucial to study ecological footprint production intensity (EFPI) in the ecological compensation strategy of designated industries and to delineate high-polluting industries. Environment-extended input-output (EE-IO) tables ...
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It is crucial to study ecological footprint production intensity (EFPI) in the ecological compensation strategy of designated industries and to delineate high-polluting industries. Environment-extended input-output (EE-IO) tables are suitable for analyzing embodied pollution or land occupation among its economic sectors. The ecological footprint (EF) and input-output tables (IOTs) were used to analyze China's EFPI and its (net) flow among sectors in 2005, 2010, and 2015. With the environment-extended matrix and Leontief inverse matrix of EE-IO analysis, the direct pollution coefficient (DPC) and total pollution coefficient (TPC) of China's EF were studied. The (net) embodied EFPI flows between any two sectors were decomposed and demonstrated in detail. The key embodied EFPI component transfer paths among sectors were tracked and analyzed. The results for China's EFPI in 2005, 2010, and 2015 show that the averages of the TPC component and net embodied EFPI transfer components showed a downward trend from 2005 to 2015. The sector of electricity, heat, gas, and water (S11) and the sector of Agriculture (S1) provided larger component values of both TPCs and net embodied EFPI transfers. From the analysis of the three transfer levels of EFPI, high-value transfer paths were further marked for key governance. Imposing an ecological tax and controlling high-EFPI industries were recommended as optimizations from the production and consumption ends. Additionally, this paper provides a reference for the division of ecological responsibility among Chinese sectors.
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Ecological footprint calculators allow users to estimate their individual environmental impact, with the goal of raising awareness and changing behaviour. Prior to this study, little was known about users' reasons for adopting a f...
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Ecological footprint calculators allow users to estimate their individual environmental impact, with the goal of raising awareness and changing behaviour. Prior to this study, little was known about users' reasons for adopting a footprint calculator, their evaluation of these tools, and the effects of calculator use. With this paper, we aim to provide a deep understanding of these factors. Based on a thematic analysis of interviews with 11 Dutch ecological footprint calculator users, centred around their experiences with existing calculators, we draw several conclusions. Calculator users can be divided into two groups with different motivations and needs: Explorers and Environmentalists. For both user groups, calculators increase awareness. In some cases, this results in behaviour change. Other effects are more difficult to measure, but no less important - for example, calculators facilitate discussions around sustainability between users and non-users. Despite the promising effects of calculators, achieving widespread adoption and stimulating continuous engagement is difficult. Based on our findings, we formulate a set of design recommendations to help calculators overcome these and other challenges.
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The consumer responsibility approach uses footprints as indicators of the total direct and indirect effects of a product or consumption activity. This study used a time-series analysis of three environmental pressures to quantify ...
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The consumer responsibility approach uses footprints as indicators of the total direct and indirect effects of a product or consumption activity. This study used a time-series analysis of three environmental pressures to quantify the total environmental pressures caused by consumption in Taiwan: land footprint, carbon footprint, and water footprint. Land footprint is the pressure from appropriation of biologically productive land and water area. Carbon footprint is the pressure from greenhouse gas emissions. Water footprint is the pressure from freshwater consumption. Conventional carbon footprint is the total CO2 emitted by a certain activity or the CO2 accumulation during a product life cycle. This definition cannot be used to convert CO2 emissions into land units. This study responds to the needs of "CO2 land" in the footprint family by applying the carbon footprint concept used by GFN. The analytical results showed that consumption by the average Taiwan citizen in 2000 required appropriation of 539 gha (hectares of land with global-average biological productivity) and 3.63 gha in 2011 in terms of land footprint. The average Taiwan citizen had a carbon footprint of 3.95 gha in 2000 and 5.94 gha in 2011. These results indicate that separately analyzing the land and carbon footprints enables their trends to be compared and appropriate policies and strategies for different sectors to be proposed accordingly. The average Taiwan citizen had a blue water footprint of 801 m(3) in 2000 and 784 m(3) in 2011. By comparison, their respective global averages were 123 gha, 236 gha and 163 m(3) blue water in 2011, respectively. Overall, Taiwan revealed higher environmental pressures compared to the rest of the world, demonstrating that Taiwa'n has become a high footprint state and has appropriated environmental resources from other countries. That is, through its imports of products with embodied pressures and its exports, Taiwan has transferred the environmental pressures from consuming goods and services to other parts of the world, which is an environmental injustice. This study examines the time series trend of land, carbon, and water footprints in Taiwan. However, if these analyses can be downscaled to city/county levels, they will be more useful for examining different sustainability performance of local governments in different regions. (C) 2015 Elsevier Inc. All rights reserved.
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The researches of the traditional ecological footprint rarely set the transform system against the pollution aspect, mostly focus on the footprint pressure exerted by the process of the resource consumption and CO2 discharge. So, ...
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The researches of the traditional ecological footprint rarely set the transform system against the pollution aspect, mostly focus on the footprint pressure exerted by the process of the resource consumption and CO2 discharge. So, this paper planes to construct the ecological footprint method of the pollution transform system, to estimate the ecological footprint of Kinmen tourism. And the results show: the ecological footprint of Kinmen tourism in 2008 was 16.36 gha per person, 3.24 times of Kinmen's land area, and the ecological deficit reaches to 14.26 gha per person. Thus, it is necessary to adopt some control policies, such as implementing the passenger total amount control, collecting ecological tax and raising the license fees of the practitioners in the tourism industry, etc.
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With the general decline of the life support system on earth, it is of great value to carry out ecological sustainability research. This study used the improved ecological footprint (EF) model to calculate the EF of Tibet and its ...
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With the general decline of the life support system on earth, it is of great value to carry out ecological sustainability research. This study used the improved ecological footprint (EF) model to calculate the EF of Tibet and its cities (prefecture-level administrative regions) from 2005 to 2017, quantified its ecological sustainability, and analyzed its driving factors using the logarithmic mean divisia index method. The study found that: (1) The EF of Tibet is steadily increasing, yet its distribution among cities is extremely uneven. The size of the internal sub-footprints is different and the distribution is extremely uneven in each city; (2) The ecology of Tibet and other cities is in a safe state, except for Lhasa that is in a completely unsafe state. The ecological footprint diversity index of Tibet, Lhasa, Qamdo, and Shannan showed a downward trend, while the other cities are the opposite. The coordination is deteriorating between the ecological and economic systems of Lhasa and Ngari, while the opposite is for Tibet and other cities; (3) The EF growth of Tibet and its cities is mainly driven by per unit of GDP, population size and footprint structure. The footprint intensity is a decisive factor in slowing down the growth of EF. This research is helpful for actors at all levels to identify the appropriate strength and type of policies to achieve ecologically sustainable development.
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Ecological footprint (EF) gives us clues about sustainable life and appears before us as an important indicator showing the burden of humans on this planet. The purpose of the present study was to examine the behaviours and the va...
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Ecological footprint (EF) gives us clues about sustainable life and appears before us as an important indicator showing the burden of humans on this planet. The purpose of the present study was to examine the behaviours and the variables that affect these behaviours of doctor candidates, which represent an important profession in the world and in our country in this respect. The study was designed in cross-sectional fashion and was conducted in December 2017 with medicine faculty students. The dependent variables of the study were EF scores and the scores of the EF sub-components like food, house, travel, and other, and the carbon footprint (CF) score; and the independent variables were age, gender. EF score median (min-max) value of the study group was computed as 2.90 (1.78-7.09) kha, and the CF score median (min-max) value was computed as 11.69 (5.99-40.19) t. The travel component median (min-max) value was 0.93 (0.06-4.82) kha. The highest contribution to the EF was made by the transportation sub-component. In the light of the data of the present study, it was concluded that the medicine faculty students had information on the EF concept. This information must be increased with training that will be provided in the future.
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Ecological footprint (EF) is a measure to evaluate the human impact on the earth recently. The purpose of this study is to evaluate prefectural EF values in 2010 from available energy and material consumption data. The. prefectura...
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Ecological footprint (EF) is a measure to evaluate the human impact on the earth recently. The purpose of this study is to evaluate prefectural EF values in 2010 from available energy and material consumption data. The. prefectural EFs are calculated based on six categories; "forest area for assimilating CO_2", "cropland", "fishing grounds", "forest area for product paper and/or timber", "grazing land", and "built-up land" according to the definition by World Wide Fund for Nature (WWF). The resulting prefectural EF values are higher in the local prefectures having heavy and chemical industries, especially in Yamaguchi, Oita, Okayama, and Hiroshima. However, the other areas relate closely to the energy and material consumption from these prefectures. Therefore, in addition, the prefectural EFs are reevaluated by employing the mean value of CO_2 amount of emission from an industry section. The difference of the EF values between 47 prefectures became small and higher EF values are founa in Hokkaido, Tokyo, Okinawa, and prefectures in the Tohoku and Chugoku regions. The reason is coming from that of CO_2 amount of emission from a consumer section in such prefectures, which is larger than other prefectures. For the total environmental load, which can be calculated from the manipulation of population and EF value in each prefecture, the value becomes higher at densely populated urban and rural prefectures such as Tokyo, Kanagawa, Osaka, Aichi, Saitama, Hokkaido, and Chiba.
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Kochi is the second most important city next to Mumbai on the western coast of India. It is the commercial capital of the Kerala State and is a land having a wide variety of residential environments. Due to urbanization, rapid pop...
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Kochi is the second most important city next to Mumbai on the western coast of India. It is the commercial capital of the Kerala State and is a land having a wide variety of residential environments. Due to urbanization, rapid population growth, changing life styles, food habits, livingstandards and many other administrative and technical problems, the present pattern of the city can be classified as that of haphazard growth with typical problems of unplanned urban development especially in the case of solid waste management. Ecological Footprint Analysis (EFA) is a quantitativetool that represents the ecological load imposed on the earth by humans in spatial terms (ecological footprint). Waste footprint is a subset of ecological footprint, which quantifies the impact of waste generation by the humans. This paper analyses the ecological footprint and waste footprintof the residential areas of Kochi city.
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Sustainability is considered a key issue for development and growth amongst governments, policymakers, researchers, and the public. In this context, indicators for sustainability are essential to measure and monitor progress and t...
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Sustainability is considered a key issue for development and growth amongst governments, policymakers, researchers, and the public. In this context, indicators for sustainability are essential to measure and monitor progress and to indicate improvements that are needed, in order to achieve the sustainable development. Over the time many indicators were developed as individual or integrated indexes. Recently a new family of sustainability indicators were developed and used to assess the pressure of the anthropogenic activities put on the Earth and its resources. In this paper, a description of rationale and methodologies is carried out to highlight the relevance of the ecological indicators included in the group of footprints: ecological footprint, carbon footprint and water footprint. The footprints were characterized in terms of their ability to quantify the environmental impacts on human activities, specifically production and consumption. Also, a comparison of the relevance of the three footprints was made and their complementarity was considered in an integrated approach. A special focus was addressed to the footprint family of EU 27 and Romania. We performed a comparison between these three indicators and analyzed the values for each indicator for Romania and EU27 countries.
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One of the most pressing questions today is how to prevent or slow down climate change. As a service sector, transport significantly contributes to this and increases greenhouse gas emissions. Furthermore, creating long-term susta...
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One of the most pressing questions today is how to prevent or slow down climate change. As a service sector, transport significantly contributes to this and increases greenhouse gas emissions. Furthermore, creating long-term sustainable social, economic and environmental processes by eliminating current systemic failures can also be a significant challenge for individual nations. One thing is sure: the status quo is not sustainable. Taking all these aspects into account, this paper seeks to answer the question of the extent to which the performance of freight transport in each EU Member State contributes to the change in the ecological footprint and how national characteristics influence this. The research introduces a newly established indicator, the freight transport footprint, which is based on a family of footprint formulas and specifically seeks to answer the extent to which freight transport burdens our environment.
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