Journal articles on the topic 'Consumption footprint'
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Long, Yanling, Runzhi Hu, Tuo Yin, Pengxiang Wang, Jiamin Liu, Tahir Muhammad, Xiuzhi Chen, and Yunkai Li. "Spatial-Temporal Footprints Assessment and Driving Mechanism of China Household Diet Based on CHNS." Foods 10, no. 8 (August 11, 2021): 1858. http://dx.doi.org/10.3390/foods10081858.
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Food consumption is closely associated with resource consumption and environmental sustainability. An unreasonable dietary pattern would cause great pressure or damage to resources and the environment. It is particularly important to reduce the negative impact of household food consumption on resources and the environment while simultaneously ensuring people’s nutrient intake and health. This study applied the China Health and Nutrition Survey (CHNS) database to quantitatively study the spatial-temporal analysis of multiple footprints of household food consumption at multiple scales and explored the driving mechanism of the multiple footprints. The results showed that, except land footprint (LF), the other four types of footprints all decreased at varying degrees; the water footprint (WF), carbon footprint (CF), nitrogen footprint (NF) and energy footprint (EF) decreased by 18.24%, 17.82%, 12.03% and 20.36%, respectively, from 2000 to 2011; multiple footprints of food consumption of household in Guizhou was the highest among the 12 provinces involved in the study; this shows that resource consumption (water, energy and land resource) and environmental influences (CO2 emissions and nitrogen emissions) brought by food consumption of per household in Guizhou are much greater than in other provinces, which has a negative influence on sustainable development; by analyzing the driving factors of multiple footprints, it is shown that nutrient intake, household attributes, educational level and health conditions were significantly correlated to multiple footprints. Among them, nutrient intake has greater impact on the multiple footprints of Chinese household food consumption. By comparing multiple footprints of different dietary patterns, it was found that the current Chinese dietary pattern would cause excessive resource consumption, which would bring more pressure on resources and the environment. Adjusting household living habits would possibly reverse the unsustainable situation, such as reducing the consumption of animal-derived foods and adjusting the dietary pattern of households with a higher educational level and income status. Chinese Dietary Guidelines 2016 has better sustainability; the promotion of this dietary pattern across the country would help China to relieve the pressure on resources and environment from the consumer side, promoting the realization of sustainable development.
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Lee, Yung-Jaan. "Ecological Footprint and Water Footprint of Taipei." Sustainability 11, no. 20 (October 16, 2019): 5714. http://dx.doi.org/10.3390/su11205714.
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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, personal annual income and socio-economic background 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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Souissi, Asma, Nadhem Mtimet, Laura McCann, Ali Chebil, and Chokri Thabet. "Determinants of Food Consumption Water Footprint in the MENA Region: The Case of Tunisia." Sustainability 14, no. 3 (January 28, 2022): 1539. http://dx.doi.org/10.3390/su14031539.
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Tunisia, like most countries in the Middle East and North Africa (MENA) region, has limited renewable water resources and is classified as a water stress country. The effects of climate change are exacerbating the situation. The agricultural sector is the main consumer (80%) of blue water reserves. In this study, to better understand the factors that influence the food water footprint of Tunisian consumers, we used a multiple linear regression model (MLR) to analyze data from 4853 households. The innovation in this paper consists of integrating effects of socio-economic, demographic, and geographic trends on the food consumption water footprint into the assessment of water and food security. The model results showed that regional variations in food choices meant large differences in water footprints, as hypothesized. Residents of big cities are more likely to have a large water footprint. Significant variability in water footprints, due to different food consumption patterns and socio-demographic characteristics, was also noted. Food waste is also one of the determining factors of households with a high water footprint. This study provides a new perspective on the water footprint of food consumption using “household” level data. These dietary water footprint estimates can be used to assess potential water demand scenarios as food consumption patterns change. Analysis at the geographic and socio-demographic levels helps to inform policy makers by identifying realistic dietary changes.
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Thanh Canh, Truong, Thuy-Trang Thi Nguyen, and Anh Hoang Le. "Water footprint assessment for citizens in Ho Chi Minh city." Science and Technology Development Journal - Natural Sciences 4, no. 1 (December 21, 2020): first. http://dx.doi.org/10.32508/stdjns.v4i1.1001.
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The research conducted a survey of the water consumption in Ho Chi Minh City through the consumption of products from agriculture, industry and domestic. The research identified green water, blue water and grey water footprints in consuming products. Then personal water footprints were calculated and evaluated. The results showed that the average personal water footprint in district 3 was 1556 m3/year (77.15% for agriculture, 15.59% for industry and 7.26% for domestic), district 10 was 1587 m3/year (77.58% for agriculture, 15.17% for industry and 7.25% domestic), Nha Be district is 1681 m3/year (80.48% for agriculture, 12.97% for industry and 6.55% for domestic) and Binh Chanh district was 1744 m3/year (81.57% for agriculture, 11.88% for industry and 6.55% for domestic). In the individual components of the water footprint, water footprints in consuming agricultural products accounted for the major percentage and determined the personal water footprint. The results showed that the individual water footprints in countryside areas were higher than those in urban areas. Depending on the amount and forms of each individual's consumption, their eating habit and daily activities, and the sexes, the personal water footprints were different. The perception and behavior of individuals' water consumption also significantly influenced the overall personal water footprints.
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Guillen, Jordi, Fabrizio Natale, Natacha Carvalho, John Casey, Johann Hofherr, Jean-Noël Druon, Gianluca Fiore, Maurizio Gibin, Antonella Zanzi, and Jann Th Martinsohn. "Global seafood consumption footprint." Ambio 48, no. 2 (May 29, 2018): 111–22. http://dx.doi.org/10.1007/s13280-018-1060-9.
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Konar, Megan, and Landon Marston. "The Water Footprint of the United States." Water 12, no. 11 (November 23, 2020): 3286. http://dx.doi.org/10.3390/w12113286.
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This paper commemorates the influence of Arjen Y. Hoekstra on water footprint research of the United States. It is part of the Special Issue “In Memory of Prof. Arjen Y. Hoekstra”. Arjen Y. Hoekstra both inspired and enabled a community of scholars to work on understanding the water footprint of the United States. He did this by comprehensively establishing the terminology and methodology that serves as the foundation for water footprint research. His work on the water footprint of humanity at the global scale highlighted the key role of a few nations in the global water footprint of production, consumption, and virtual water trade. This research inspired water scholars to focus on the United States by highlighting its key role amongst world nations. Importantly, he enabled the research of many others by making water footprint estimates freely available. We review the state of the literature on water footprints of the United States, including its water footprint of production, consumption, and virtual water flows. Additionally, we highlight metrics that have been developed to assess the vulnerability, resiliency, sustainability, and equity of sub-national water footprints and domestic virtual water flows. We highlight opportunities for future research.
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Liobikienė, Genovaitė, and Jānis Brizga. "Sustainable Consumption in the Baltic States: The Carbon Footprint in the Household Sector." Sustainability 14, no. 3 (January 28, 2022): 1567. http://dx.doi.org/10.3390/su14031567.
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Sustainable consumption is one of the main aspects while implementing sustainable development goals. The main feature of sustainable consumption is the reduction of environmental impact. Thus, it is vital to understand and evaluate the environmental impact caused by consumption. In this paper, carbon footprint analyses of the Baltic States for the period of 2000–2019 were used to study sustainable consumption and pro-environmental behavior development. The results show not only how carbon footprint changes in different consumption categories (e.g., mobility, housing, food, and services), but whether it is related to changes in pro-environmental behavior as the promotion of sustainable consumption is crucial to reduce the consumption-based carbon footprint. The results from multi-regional input-output analyses show that in the Baltic States 62–71% of all the household carbon footprint is attributed to the three main consumption categories—transport, food, and housing. These categories are also responsible for 53–56% of the household expenditure. Consequently, changes in our mobility, food consumption, and housing management practices can significantly reduce the household environmental impacts. However, to minimize carbon footprints, behavioral changes are not enough; structural changes in the agro-food, housing, energy, and transport systems are also needed.
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Xu, Chang Chun, Yao Wu, Hao Jia, and Fu Chen. "Product Water Footprinting: Application with Milk Products at Brand Level." Applied Mechanics and Materials 522-524 (February 2014): 925–29. http://dx.doi.org/10.4028/www.scientific.net/amm.522-524.925.
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The production and consumption of products and services exert much pressure on hydrological cycle. Water footprint is a popular indicator quantifying both direct and indirect water use of a product or service. In this article, water footprints were calculated for three milk products, 180g Yogurt, 250mL Fluid milk and 400g Skim milk powder (SMP) at product brand (YiYi®) level. The process LCA-based water footprint method was applied using primary production data, with both volumetric and stress-weighted results reported. Water footprint values were compared among different life cycle stages and products, and possible mitigation strategies to minimize the burden on freshwater systems from consumptive water use were raised. The results demonstrated the suitability of water footprint as streamlined indicator for product sustainability management and affirmed the importance of farming stage for water footprint reduction.
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Lynch, Michael J., Michael A. Long, Paul B. Stretesky, and Kimberly L. Barrett. "Measuring the Ecological Impact of the Wealthy: Excessive Consumption, Ecological Disorganization, Green Crime, and Justice." Social Currents 6, no. 4 (May 15, 2019): 377–95. http://dx.doi.org/10.1177/2329496519847491.
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Ecological disorganization stemming from conspicuous consumption practices is understudied in the social sciences. In this analysis, we study conspicuous consumption and its implications for environmental sociology, ecological footprint analysis, and green criminology. We examine the issue of conspicuous consumption through the study of items that increase the ecological footprint considerably, that is, through the consumption of “luxury commodities.” Specifically, we draw attention to assessing aspects of ecological footprints of super yachts, super homes, luxury vehicles, and private jets. Taken together, the construction and use of these items in the United States alone is likely to create a CO2 footprint that exceeds those from entire nations. These results are not necessarily surprising but suggest that excessive consumption practices of the wealthy may need to be reinterpreted as criminal when they disrupt the normal regeneration and reproduction of ecosystems by generating excessive ecological disorganization.
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Wu, Yi Ling, Xian Zheng Gong, Yu Liu, Xiao Qing Li, Xiao Fei Tian, Hong Tao Wang, and Chang Xing Ye. "Water Footprint Evaluation of the Production of Float Flat Glass." Materials Science Forum 1035 (June 22, 2021): 1102–8. http://dx.doi.org/10.4028/www.scientific.net/msf.1035.1102.
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The ISO14046 water footprint evaluation method was used in this study to calculate the water shortage footprint and water degradation footprint in plate glass production, in order to improve the water efficiency and management level in the production process of plate glass in China. A certain enterprise in Hebei province was selected for investigation in 2018. The results show that the water shortage footprint generated by the production of flat glass was 0.435 m3H2Oeq/weight box. The proportion at raw material production stage was the largest, being 86%, so the water consumption control in raw material mining and the circulating water system should be strengthened and improved to reduce the fresh water consumption. Water degradation footprint in flat glass industry mainly consisted of eutrophication and acidification footprints. The eutrophication footprint was calculated as 0.027 kgNO3-eq/weight box, and water acidification footprint was 0.271 kgSO2eq/weight box. The largest proportion occurred at flat glass production stage. It should be paid attention at this stage, to update the relatively clean production equipments and add the waste gas processing steps to reduce pollution discharge.
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Popławski, Łukasz, and Małgorzata Rutkowska. "The ecological footprint of consumption." Studia i Prace WNEiZ 47 (2017): 241–49. http://dx.doi.org/10.18276/sip.2017.47/1-20.
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Ilyas, Hafiz Muhammad Abrar, Majeed Safa, Alison Bailey, Sara Rauf, and Marvin Pangborn. "The Carbon Footprint of Energy Consumption in Pastoral and Barn Dairy Farming Systems: A Case Study from Canterbury, New Zealand." Sustainability 11, no. 17 (September 3, 2019): 4809. http://dx.doi.org/10.3390/su11174809.
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Dairy farming is constantly evolving to more intensive systems of management, which involve more consumption of energy inputs. The consumption of these energy inputs in dairy farming contributes to climate change both with on-farm emissions from the combustion of fossil fuels, and by off-farm emissions due to production of farm inputs (such as fertilizer, feed supplements). The main purpose of this research study was to evaluate energy-related carbon dioxide emissions, the carbon footprint, of pastoral and barn dairy systems located in Canterbury, New Zealand. The carbon footprints were estimated based on direct and indirect energy sources. The study results showed that, on average, the carbon footprints of pastoral and barn dairy systems were 2857 kgCO2 ha−1 and 3379 kgCO2 ha−1, respectively. For the production of one tonne of milk solids, the carbon footprint was 1920 kgCO2 tMS−1 and 2129 kgCO2 tMS−1, respectively. The carbon emission difference between the two systems indicates that the barn system has 18% and 11% higher carbon footprint than the pastoral system, both per hectare of farm area and per tonne of milk solids, respectively. The greater carbon footprint of the barn system was due to more use of imported feed supplements, machinery usage and fossil fuel (diesel and petrol) consumption for on-farm activities.
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Purwanto, Agus, Syafrudin Syafrudin, and Sunarsih Sunarsih. "Carbon Footprint from Settlement Activities: A Literature Review." E3S Web of Conferences 125 (2019): 02001. http://dx.doi.org/10.1051/e3sconf/201912502001.
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One of the causes of increasing greenhouse gases is the increase in CO2 emissions produced from both the industrial sector, transportation sector, and settlement sector. The settlement sector also contributes to CO2 emissions based on household activities. Research on carbon footprint from settlement activities is currently focusing on carbon footprints from household energy use both electricity and heat energy for cooking and have not taken into account the activities of vehicle fuel use, domestic waste, and water consumption. This paper aims to conduct a literature study on matters relating to the method of estimating the carbon footprint of settlement activities and influencing variables. The results of this study are a framework for estimating the more comprehensive carbon footprint of housing activities by adding private vehicle fuel consumption, waste generation, and water consumption in addition to the use of fuel for cooking and electricity use.
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Zhang, Yu, Qing Tian, Huan Hu, and Miao Yu. "Water Footprint of Food Consumption by Chinese Residents." International Journal of Environmental Research and Public Health 16, no. 20 (October 18, 2019): 3979. http://dx.doi.org/10.3390/ijerph16203979.
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Water shortages are a worldwide problem. Virtual water and the water footprint link water resources, human beings and agricultural products, and are effective tools to alleviate water-resources stress. The production of agricultural products consumes a large amount of water, and food is the most basic consumer good for human survival, so it is very necessary to study the water footprint of residents’ food consumption, which is also the weak point of current research on virtual water and the water footprint. This paper aimed to conduct a comprehensive analysis on the water footprint of food consumption in China from the perspectives of urban and rural residents, per capita water footprint, water footprint structure and food consumption structure. The results revealed that the average water footprint of residents’ food consumption was 605.12 billion m3/year, basically showing an upward trend. Guangdong residents had the highest water footprint for food consumption due to the highest population and higher consumption of water-intensive foodstuffs such as grain and meat in their diet. The water footprint of Xizang residents’ food consumption was the lowest followed by Ningxia and Qinghai due to having the least population. The water footprint of food consumption consumed by urban residents was on the rise while that consumed by rural residents was on the decline in China, which was consistent with the changing trend of population. On the whole, the rural population consumed more virtual water embedded in food than the urban population. From the water footprint structure point, the contribution rate of the green water footprint is the largest, reaching 69.36%. The second is the gray water footprint and then the blue water footprint, accounting for 18.71% and 11.93%, respectively. From the perspective of the food consumption structure, grain and pig, beef and mutton consumption contributed significantly to the total water footprint of residents’ food consumption, contributing 37.5% and 22.56%, respectively. The study is helpful for water management and water allocation in rural and urban areas, improving agricultural technology to reduce the gray water footprint and optimizing food consumption structure, such as reducing the consumption of grain and meat.
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Gormaz, Teresita, Sandra Cortés, Ornella Tiboni-Oschilewski, and Gerardo Weisstaub. "The Chilean Diet: Is It Sustainable?" Nutrients 14, no. 15 (July 28, 2022): 3103. http://dx.doi.org/10.3390/nu14153103.
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Food systems are one of the main contributors to climate change. Sustainable diets are one strategy to mitigate climate change. Assessments and estimations at a national level are lacking, especially in the Global South, probably due to a lack of national surveys of food consumption and a limited interest in sustainable diets information. The objective of this study is to estimate and describe the carbon and water footprint of the Chilean population’s diet in an overall estimation desegregated by region, age, sex, socioeconomic level and their main characterizations. This study is based on a secondary data analysis from the National Survey of Food Consumption made in 2010. The carbon and water footprint of the food subgroups/person/day were estimated. The results are compared by sex, age group, socioeconomic level, and macro zone. A carbon footprint of 4.67 kg CO2eq and a water footprint of 4177 L, both per person/day, were obtained. Animal-sourced foods, such as dairy and red meat, were responsible for 60.5% of the total carbon footprint and 52.6% of the water footprint. The highest values for both footprints were found in the following groups: men, adolescents, young adults, people with a higher socioeconomic level, and residents in the southern area of the country. The carbon footprint and water footprint values in Chile generated by food consumption would be above the world averages. Transforming the Chilean food system into a more sustainable one with changes in eating patterns is urgently required to attain this transformation.
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van Noordwijk, Meine, Thuy T. Pham, Beria Leimona, Lalisa A. Duguma, Himlal Baral, Nikhmatul Khasanah, Sonya Dewi, and Peter A. Minang. "Carbon footprints, informed consumer decisions and shifts towards responsible agriculture, forestry, and other land uses?" Carbon Footprints 1, no. 1 (2022): 4. http://dx.doi.org/10.20517/cf.2022.02.
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The urgent global reduction of greenhouse gas emissions depends on political commitments to common but differentiated responsibility. Carbon footprints as a metric of attributable emissions reflect individually determined contributions within, and aggregated national contributions between, countries. Footprints per unit product (e.g., of food, feed, fuel, or fiber) require a lifecycle analysis and support individual decisions on consumption and lifestyles. This perspective presents a framework for analysis that connects the various operationalizations and their use in informing consumer and policy decisions. Footprints show geographical variation and are changing as part of political-economic and social-ecological systems. Articulation of footprints may trigger further change. Carbon footprints partially correlate with water and biodiversity footprints as related ecological footprint concepts. The multifunctionality of land use, as a solution pathway, can be reflected in aggregated footprint metrics. Credible footprint metrics can contribute to change but only if political commitments and social-cultural values and responsibilities align.
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Garikapati, Venu M., Daehyun You, Wenwen Zhang, Ram M. Pendyala, Subhrajit Guhathakurta, Marilyn A. Brown, and Bistra Dilkina. "Estimating Household Travel Energy Consumption in Conjunction with a Travel Demand Forecasting Model." Transportation Research Record: Journal of the Transportation Research Board 2668, no. 1 (January 2017): 1–10. http://dx.doi.org/10.3141/2668-01.
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This paper presents a methodology for the calculation of the consumption of household travel energy at the level of the traffic analysis zone (TAZ) in conjunction with information that is readily available from a standard four-step travel demand model system. This methodology embeds two algorithms. The first provides a means of allocating non-home-based trips to residential zones that are the source of such trips, whereas the second provides a mechanism for incorporating the effects of household vehicle fleet composition on fuel consumption. The methodology is applied to the greater Atlanta, Georgia, metropolitan region in the United States and is found to offer a robust mechanism for calculating the footprint of household travel energy at the level of the individual TAZ; this mechanism makes possible the study of variations in the energy footprint across space. The travel energy footprint is strongly correlated with the density of the built environment, although socioeconomic differences across TAZs also likely contribute to differences in travel energy footprints. The TAZ-level calculator of the footprint of household travel energy can be used to analyze alternative futures and relate differences in the energy footprint to differences in a number of contributing factors and thus enables the design of urban form, formulation of policy interventions, and implementation of awareness campaigns that may produce more-sustainable patterns of energy consumption.
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Liu, Jing, Nimin Xie, and Zhongbo Yu. "Analysis of Regional Water and Energy Consumption Considering Economic Development." Water 13, no. 24 (December 14, 2021): 3582. http://dx.doi.org/10.3390/w13243582.
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The evaluation of regional water and energy consumption is of great significance to improving regional resource utilization. This paper analyzed the water and energy footprints in different provinces of China, considering regional economic levels. The results indicate: (1) both the largest water footprint and water footprint per capita were in Xinjiang and agriculture had the largest value; (2) Shandong was the largest energy consumer, Ningxia had the largest energy footprint per capita, and coal occupied the largest proportion for the top five energy footprint provinces; and (3) the resource input–output efficiencies in Beijing and Fujian were high, while water and energy consumption were low and gross regional product was high, compared with the average value of China. The situations in Xinjiang and Inner Mongolia were opposite. The change of consumption pattern for each inhabitant, the adoption of water-saving technology, and an increase to water-saving awareness would be helpful to decrease regional water consumption. An increase of regional energy use efficiency and a change to reduced energy consumption would contribute to the decreasing of regional energy consumption. More attention should be paid to renewable and clean Energies. In addition to solution from the local perspective, the virtual water trade and the energy product trade may relieve regional resource pressure in some extent, and the possible influencing should be considered at the same time. This paper could provide suggestions for regional resource utilization and sustainable development.
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Bulsink, F., A. Y. Hoekstra, and M. J. Booij. "The water footprint of Indonesian provinces related to the consumption of crop products." Hydrology and Earth System Sciences 14, no. 1 (January 18, 2010): 119–28. http://dx.doi.org/10.5194/hess-14-119-2010.
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Abstract. National water use accounts are generally limited to statistics on water withdrawals in the different sectors of economy. They are restricted to "blue water accounts" related to production, thus excluding (a) "green" and "grey water accounts", (b) accounts of internal and international virtual water flows and (c) water accounts related to consumption. This paper shows how national water-use accounts can be extended through an example for Indonesia. The study quantifies interprovincial virtual water flows related to trade in crop products and assesses the green, blue and grey water footprint related to the consumption of crop products per Indonesian province. The study shows that the average water footprint in Indonesia insofar related to consumption of crop products is 1131 m3/cap/yr, but provincial water footprints vary between 859 and 1895 m3/cap/yr. Java, the most water-scarce island, has a net virtual water import and the most significant external water footprint. This large external water footprint is relieving the water scarcity on this island. Trade will remain necessary to supply food to the most densely populated areas where water scarcity is highest (Java).
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Pongpinyopap, S., and T. Mungcharoen. "Bioethanol water footprint: life cycle optimization for water reduction." Water Supply 15, no. 2 (December 6, 2014): 395–403. http://dx.doi.org/10.2166/ws.2014.129.
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In Thailand, the Alternative Energy Development Plan has set the target to increase the use of bioethanol to 9.00 million liters per day by 2021. To achieve this goal, both freshwater availability for energy crops and best practices in bioethanol production chain management are very important issues. Therefore, this study integrates water footprint technique with the linear programing approach in order to optimize the operations decision, focusing on water footprint of the bioethanol production chains from both tactical and operational levels. A cradle-to-grave approach is adopted to evaluate the water consumption and pollution in bioethanol production from sugarcane and cassava. The results show that the water footprint of bioethanol consumed in Thailand was about 3.23 × 109, 1.72 × 1010, and 2.49 × 1010 m3 per year in 2010, 2016, and 2021, respectively. The share of agriculture water consumption to the total water footprints of bioethanol was 99% and industrial water consumption was 1%. After applying the linear programing, it was found that the water footprint could be reduced by at least 53%, or 1.33 × 1010 m3, annually. The modeling approach and formulation presented could be used as a tool to reduce water consumption and provide the operation plan of bioethanol production chain.
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Su, Zhu Hua, Li Ma, Xia Ling Chu, Rui Quan Xiong, and Zhong Wan. "Dynamic Analysis on Carbon Footprint of Energy Utlization in Guangdong Province." Applied Mechanics and Materials 291-294 (February 2013): 1471–77. http://dx.doi.org/10.4028/www.scientific.net/amm.291-294.1471.
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The paper calculated the Carbon footprint, Carbon Footprint Density, Value of Carbon Footprint Carbon Footprint Intensity, Ecological Pressure Intensity of Carbon Footprint of Guangdong energy consumption in 1990-2011, using the relevant concepts and research methodsthe carbon footprint.The results shows that The Guangdong per capita energy consumption carbon footprint continueed to rise from 1990 to 2011; In the energy consumption carbon footprint gross composition, coal carbon footprint was the maximum, followed by crude oil, natural gas was the last. The Guangdong primary energy utilization structure did not improve and optimize; The Guangdong energy consumption carbon footprint density increased gradually and the pressure of carbon emission reduction increased gradually; The Guangdong economy progress was good in the past 20 years, the Guangdong economic value created by energy consumption carbon footprint became stable in the 3 years; The Guangdong ecological pressure intensity of carbon footprint was increased in 1990-2011, and became 1.8925 in 2011.
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Bulsink, F., A. Y. Hoekstra, and M. J. Booij. "The water footprint of Indonesian provinces related to the consumption of crop products." Hydrology and Earth System Sciences Discussions 6, no. 4 (July 24, 2009): 5115–37. http://dx.doi.org/10.5194/hessd-6-5115-2009.
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Abstract. National water use accounts are generally limited to statistics on water withdrawals in the different sectors of economy. They are restricted to "blue water accounts" related to production, thus excluding (a) "green" and "grey water accounts", (b) accounts of internal and international virtual water flows and (c) water accounts related to consumption. This paper shows how national water-use accounts can be extended through an example for Indonesia. The study quantifies interprovincial virtual water flows related to trade in crop products and assesses the green, blue and grey water footprint related to the consumption of crop products per Indonesian province. The study shows that the average water footprint in Indonesia insofar related to consumption of crop products is 1131 m3/cap/yr, but provincial water footprints vary between 859 and 1895 m3/cap/yr. Java, the most water-scarce island, has a net virtual water import and the most significant external water footprint. This large external water footprint is releasing the water scarcity on this island. There are two alternative routes to reduce the overall water footprint of Indonesia. On the one hand, it may be reduced by promoting wise crop trade between provinces – i.e. trade from places with high to places with low water efficiency. On the other hand, the water footprint can be reduced by improving water efficiency in those places that currently have relatively low efficiency, which equalises production efficiencies and thus reduces the need for imports and enhances the opportunities for exports. In any case, trade will remain necessary to supply food to the most densely populated areas where water scarcity is highest (Java).
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Zhang, Peng, Zihan Xu, Weiguo Fan, Jiahui Ren, Ranran Liu, and Xiaobin Dong. "Structure Dynamics and Risk Assessment of Water-Energy-Food Nexus: A Water Footprint Approach." Sustainability 11, no. 4 (February 23, 2019): 1187. http://dx.doi.org/10.3390/su11041187.
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The “Water-Energy-Food Nexus” is one of the present research hotspots in the field of sustainable development. Water resources are the key factors that limit local human survival and socioeconomic development in arid areas, and the water footprint is an important indicator for measuring sustainable development. In this study, the structural dynamics and complex relationships of the water-energy-food system in arid areas were analyzed from the perspective of the water footprint, and the risk characteristics were evaluated. The results show that: (1) Agriculture products and livestock products account for the largest water footprints (>90%), which is much higher than the water footprints of energy consumption (<5%). From the water footprint type, the blue water footprint (>50%) > the grey water footprint (20%–30%) > the green water footprint (<20%). (2) Since 2000, especially after 2005, while energy consumption drove rapid economic growth, it also led to the rapid expansion of the water footprint in the Manas River Basin. By 2015, the water deficit was relatively serious, with the surface water resource deficit reaching 16.21 × 108 m3. (3) The water-energy risk coupling degree of the water-energy-food system in this basin is comparatively significant, which means that it is facing the dual pressures of internal water shortage and external energy dependence, and it is vulnerable to global warming and fluctuations in the international and domestic energy markets. Thus, it is necessary to adjust the industrial structure through macroeconomic regulation and control, developing new energy sources, reducing the coupling degree of system risks, and achieving sustainable development.
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Yousaf, Hazrat, Azka Amin, Waqar Ameer, and Muhammad Akbar. "Investigating the determinants of ecological and carbon footprints. Evidence from high-income countries." AIMS Energy 10, no. 4 (2022): 831–43. http://dx.doi.org/10.3934/energy.2022037.
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<abstract> <p>High-income countries have experienced rapid economic growth, urbanization, consumption of renewable and non-renewable energy, increased trade dependency, and the attainment and maintenance of higher living standards over the last four decades, while also experiencing an increasing trend in environmental degradation. These experiences have fueled our desire to learn more about the factors that influence the ecological footprint and carbon footprint of high-income countries. The purpose of the present study is to investigate the effects of natural resources, urbanization, GDP per capita, population, and fossil fuels on ecological and carbon footprint for 34 high-income countries over the period 2003–2015. Using the STIRPAT model, the results confirm the environmental Kuznets curve hypothesis in the case of total ecological footprint while the link between economic growth and carbon footprint is in U-shape. In terms of total ecological footprint determinants, population reduction as well as efficient urban design, are viable solutions. The findings support the positive and statistically significant influence of population, urbanization, and fossil fuels on total ecological footprint, as well as the negative impact of ecological efficiency. The findings of the carbon footprint suggest that reduction in coal and oil consumption, as well as increasing the use of gas as a source of energy, are all viable choices to mitigate carbon footprint. Furthermore, increasing ecological efficiency could be a viable policy option for reducing high-income countries' footprints.</p> </abstract>
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Buhl, Johannes, Christa Liedtke, Sebastian Schuster, and Katrin Bienge. "Predicting the Material Footprint in Germany between 2015 and 2020 via Seasonally Decomposed Autoregressive and Exponential Smoothing Algorithms." Resources 9, no. 11 (October 25, 2020): 125. http://dx.doi.org/10.3390/resources9110125.
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Recent research on the natural resource use of private consumption suggests a sustainable Material Footprint of 8 tons per capita by 2050 in industrialised countries. We analyse the Material Footprint in Germany from 2015 to 2020 in order to test whether the Material Footprint decreases accordingly. We studied the Material Footprint of 113,559 users of an online footprint calculator and predicted the Material Footprint by seasonally decomposed autoregressive (STL-ARIMA) and exponential smoothing (STL-ETS) algorithms. We find a relatively stable Material Footprint for private consumption. The overall Material Footprint decreased by 0.4% per year between 2015 and 2020 on average. The predictions do not suggest that the Material Footprint of private consumption follows the reduction path of 3.3% per year that will lead to the sustainable consumption of natural resources.
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Liu, Xian, Yueyue Xu, Shikun Sun, Xining Zhao, and Yubao Wang. "Analysis of the Coupling Characteristics of Water Resources and Food Security: The Case of Northwest China." Agriculture 12, no. 8 (July 28, 2022): 1114. http://dx.doi.org/10.3390/agriculture12081114.
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Exploring the coupling characteristics of regional water resources and food security helps to promote the sustainable development of grain production and is of great significance for achieving global food security. From the aspects of regional “water supply”, “water use” and “water demand”, the coupling characteristics of water resources and food security were systematically revealed; the new challenges faced by regional food security from the perspective of water resources were clarified; and effective ways to promote the utilization of regional water resources and the sustainable development of grain production were explored. This paper took Northwest China, which is the most arid region, where water-resource utilization and food security are in contradiction, as the research area. The water-resource load index, the water footprint of grain production and the water-consumption footprint were used to quantify the regional water-resource pressure index, as well as the residential grain-consumption types, population urbanization, the industrial-grain-processing industry and their corresponding water-consumption footprints from 2000 to 2020. The coupling characteristics of water resources and food security were systematically revealed. The results showed the following: (1) In 2000–2020, the water-resource load index increased from 4.0 to 10.7, and the load level increased from III to I. At the same time, agricultural water resources were largely allocated elsewhere. (2) During the period, the food rations showed a significant decreasing trend, and the average annual reduction was 3.4% (p < 0.01). The water footprint of animal products increased, particularly for beef and poultry (the average annual growth rates were 9.9% and 6.3%, respectively). In addition, the water footprint of industrial food consumption increased by 297.1%. (3) With the improvement of the urbanization level, the water-consumption footprint increased by 85.9%. It is expected that the water footprint of grain consumption will increase by 39.4% and 52.3% by 2030 and 2040, respectively. Exploring how to take effective measures to reduce the water footprint to meet food-security needs is imperative. This study proposed measures to improve the utilization efficiency of blue and green water and reduce gray water and the grain-consumption water footprint from the aspects of regional planting-structure optimization potential, water-saving irrigation technology, dietary-structure transformation and virtual water trade; these measures could better relieve the water-resource pressure and promote the sustainable development of grain production and water-resource utilization.
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Qian, Weiran, Juxiang Zhu, Fangli Chen, Xiang Ji, Xiaopeng Wang, and Laili Wang. "Water footprint assessment of viscose staple fiber garments." Water Supply 21, no. 5 (February 11, 2021): 2217–32. http://dx.doi.org/10.2166/ws.2021.040.
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Abstract The viscose fiber industry forms a large part of the textile industry and is a typical water consumption and wastewater discharge industry. As a tool to quantify environmental impacts in terms of water resources, the water footprint assessment (WFA) is a control method for the textile and apparel industry to measure water consumption and wastewater discharge. In this study, the water footprints of viscose staple fiber blouses and blended men's suits were comprehensively evaluated based on the ISO 14046 standard and the life cycle assessment (LCA) polygon method. The WFA results from our study indicate that the production stage of viscose staple fiber garments has the most significant water resource environmental load. Specifically, the water footprint related to the production of viscose staple fiber for three types of clothing accounted for more than 50% of the total water footprint, with men's 100% viscose staple fiber suits having the largest impact on water resources and the environment. Furthermore, our results indicate that the water alkaline footprint is primarily influenced by the viscose staple fiber production as well as the dyeing and finishing processes. NaOH and Na2CO3 are the main pollutants that caused the water alkaline footprint. In addition, the water ecotoxicity footprint was the major driving factor of water resource environmental load. Zn2+ is the main pollutant that caused the water ecotoxicity footprint.
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Qafisheh, Nida, Makhtar Sarr, Umm Amara Hussain, and Shikha Awadh. "Carbon Footprint of ADU Students: Reasons and Solutions." Environment and Pollution 6, no. 1 (March 31, 2017): 27. http://dx.doi.org/10.5539/ep.v6n1p27.
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The objective of the study was to calculate the carbon footprint of ADU students, studying environmental sciences and environmental health & safety and compared it with the average carbon footprint of UAE. Students’ activity, which contributed to the highest emissions of carbon dioxide per year, has been determined. The carbon footprints were calculated using the online carbon footprint calculator, which estimated the CO2 emissions of each student. The method resulted from different activities like consumption of gas and electricity, transportation, flights, food as well as other different activities are associated with individual’s life style. The average carbon footprint of Environmental ADU students after decreasing their emissions was 12.22 tons CO2/year, which was 68%, less than the average carbon footprint of UAE (37.8 tons/year). The public transportation, driving friendly cars, eating locally and living in a simply sustainable life style are great solutions to reduce an individual carbon footprint.
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Yang, Siyuan, Bin Chen, Muhammad Wakeel, Tasawar Hayat, Ahmed Alsaedi, and Bashir Ahmad. "PM2.5 footprint of household energy consumption." Applied Energy 227 (October 2018): 375–83. http://dx.doi.org/10.1016/j.apenergy.2017.11.048.
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Yuan, Qing Min, Jun Liu, and Jing Qiu. "Dynamic Analysis of Energy Consumption and Energy Productivity of Tianjin." Advanced Materials Research 869-870 (December 2013): 362–65. http://dx.doi.org/10.4028/www.scientific.net/amr.869-870.362.
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This paper based on ecological footprint model, by using 2001-2011 years of historical statistical data, calculated and dynamic analyzed the energy status of Tianjin. In the process of analysis, the use of energy ecological footprint represents energy consumption, the value of energy ecological footprint and energy ecological footprint intensity indicates energy productivity. The results showed that: During the study period, energy ecological footprint and the value of energy ecological footprint showed an increasing trend, energy ecological footprint intensity is on the decline. These suggests that energy productivity enhances unceasingly. But due to the rapid economic growth, energy consumption for the ecological environment pressure increased. Besides, coal-dominated energy consumption structure is not conducive to achieving sustainable development in Tianjin.
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Zhu, Qiaoqiao, Xiaowen Sang, and Zhengbo Li. "Economic growth and household energy footprint inequality in China." PLOS ONE 18, no. 3 (March 1, 2023): e0282300. http://dx.doi.org/10.1371/journal.pone.0282300.
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There are significant differences in energy footprints among individual households. This study uses an environmentally extended input-output approach to estimate the per capita household energy footprint (PCHEF) of 10 different income groups in China’s 30 provinces and analyzes the heterogeneity of household consumption categories, and finally measures the energy equality of households in each province by measuring the energy footprint Gini coefficient (EF-Gini). It is found that the energy footprint of the top 10% income households accounted for about 22% of the national energy footprint in 2017, while the energy footprint of the bottom 40% income households accounted for only 24%. With the growth of China’s economy, energy footprint inequality has declined spatially and temporally. Firstly, wealthier coastal regions have experienced greater convergence in their energy footprint than poorer inland regions. Secondly, China’s household EF-Gini has declined from 0.38 in 2012 to 0.36 in 2017. This study shows that China’s economic growth has not only raised household income levels, but also reduced energy footprint inequality.
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Otto, Edet, Henry Sawyerr, Olaniyi Opasola, and Babatunde Adiama. "Ecological Footprint of Food Consumption in Ijebu Ode, Nigeria." Asian Journal of Basic Science & Research 04, no. 03 (2022): 01–13. http://dx.doi.org/10.38177/ajbsr.2022.4301.
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A recent study establishes that since 1970, there has been an ecological gap between human needs and the planet's resources, with annual resource demand exceeding the bio-productivity of the planet. Specifically, humanity utilises equivalent of 1.75 earths to produce the ecological resources used, with half of this attributable to food consumption. The present work therefore seeks to provide an empirically-based insight into the environmental sustainability of the EF of food consumption in Ijebu Ode. A descriptive cross-sectional approach was used, and primary data were collected from 400 systemically sampled households via structured questionnaires and analysed descriptively using Microsoft Excel and differentially using mathematical models for calculating ecological footprints. Findings revealed that the household EF of food consumption in Ijebu Ode is 0.05gha per capita, with the footprint of cereal consumption (0.17gha; 37%) taking the major share, followed by meat with a footprint of 0.11gha (23.9%). As a result, it was concluded that Ijebu Ode has sustainable food consumption, which is necessary for its environmental sustainability. However, the sustenance of the former requires creating awareness of the need for sustainable consumption and prioritisation of integrated and population-wide policies and food intervention initiatives to encourage attitudinal change in favour of sustainable food consumption while fostering sustainable food production strategies amidst current environmental realities.
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Zhang, Peng Yan, Chang Hui Hu, Ming Zhou Qin, Jiang Hong Yan, and Ya Ping Zhao. "The Study on Surveys and Evaluation of Living Consumption Level of Urban Residents Based on the Ecological Footprint." Advanced Materials Research 616-618 (December 2012): 1249–53. http://dx.doi.org/10.4028/www.scientific.net/amr.616-618.1249.
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Taking three residential areas of different income levels in Kaifeng City, Henan Province in 2009 as a case, this study analyzed the ecological footprint of Kaifeng city using the theory and methods of ecological footprint and questionnaire survey. According to the questionnaire survey of three residential areas of Banqiao, Kangping and Longcheng xiangxieli garden, the ecological footprint of consumption of biological resources and energy consumption are calculated in these areas. The conclusions are made that the higher the income consumption level of residents, the greater the ecological footprint, and lower income residents consumption level, the smaller ecological footprint.
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Ibrahiem, Dalia M., and Shaimaa A. Hanafy. "Dynamic linkages amongst ecological footprints, fossil fuel energy consumption and globalization: an empirical analysis." Management of Environmental Quality: An International Journal 31, no. 6 (July 2, 2020): 1549–68. http://dx.doi.org/10.1108/meq-02-2020-0029.
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PurposeThe purpose of this paper is to examine the dynamic linkages amongst ecological footprints, fossil fuel consumption, real income, globalization and population in Egypt in the period from 1971 to 2014.Design/methodology/approachThe paper uses fully modified ordinary least squares (FMOLS) and dynamic ordinary least squares (DOLS) methods to investigate the long run relationships amongst ecological footprints, economic growth, globalization, fossil fuel energy consumption and population. Moreover, the Toda–Yamamoto approach is conducted to examine the causal relationships between variables.FindingsEmpirical results of FMOLS and DOLS methods show that real income and fossil fuel consumption are responsible for deteriorating the environment, while globalization and population are found to mitigate it. As for Toda–Yamamoto–Granger causal relationship results, unidirectional causal relation from globalization, population and fossil fuel energy consumption to the ecological footprint exists. Moreover, bidirectional causal relation between real income on the one hand and globalization and the ecological footprint on the other hand is found.Originality/valueUsing carbon dioxide emissions has major weakness as carbon dioxide emissions are considered only part of the total environmental deterioration so this study is the first study for Egypt that uses the ecological footprint as an indicator for environmental quality and environmental pollution and links it with globalization, economic growth, population and fossil fuel energy consumption. Moreover, realizing the direction of causality between these variables might help policymakers in designing the policies to promote the shift towards clean energy sources, especially that achieving sustainable economic growth with more contribution to the global economy depending on diversification of energy sources without deteriorating the environment is considered one of the most important objectives of Egypt’s National Vision 2030.
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Zhao, Qiang, Xiu Mei Li, and Duo Mi. "The Estimate and Influence Factors Analysis of Energy Consumption Carbon Footprint of Jiangsu Province." Advanced Materials Research 955-959 (June 2014): 1547–50. http://dx.doi.org/10.4028/www.scientific.net/amr.955-959.1547.
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This article takes Jiangsu Province as an example, using the consumption from 2000 to 2009 and its social and economic statistical data to analyze the change rule of the energy consumption carbon footprint; with the trend correlation method to study the affecting factors of the energy consumption carbon footprint, and uses the decoupling index method to study the relationship between energy consumption carbon footprint and economic development. The conclusions show that the average growth rate of energy consumption carbon footprint from 2000-2009 is 13.6%. On the whole, before 2005, the main part of Jiangsu Province energy consumption carbon footprint is coal, and coal was in a more dominant position, the second was oil, natural gas at least, but after 2005, natural gas was in the dominant position, the second was coal, oil at least. Among the factors that affect energy consumption carbon footprint, economic growth is the most important. Economic growth is energy-based, and the former and the latter show a relative decoupling and re-hook fluctuations in the state.
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Li, Liping, Guiyue Du, Beibei Yan, Yuan Wang, Yingxin Zhao, Jianming Su, Hongyi Li, et al. "Carbon Footprint Analysis of Sewage Sludge Thermochemical Conversion Technologies." Sustainability 15, no. 5 (February 25, 2023): 4170. http://dx.doi.org/10.3390/su15054170.
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Thermochemical conversion technology for sewage sludge (SS) management has obvious advantages compared to traditional technologies, such as considerable volume reduction, effective pathogen elimination, and potential fuel production. However, few researchers conducted comparative research on the greenhouse gas (GHG) emission performances of these technologies. This paper evaluates the lifecycle carbon footprints of three SS thermochemical conversion technologies, including hydrothermal liquefaction (HTL) (Case 1), pyrolysis (Case 2), and incineration (Case 3) with software OpenLCA and Ecoinvent database. The results show that Case 1 has the smallest carbon footprint (172.50 kg CO2eq/t SS), which indicates the HTL process has the best GHG emission reduction potential compared to other SS disposal routes. The biggest contributor to the carbon footprint of SS thermochemical conversion technologies is indirect emissions related to energy consumption. So the energy consumption ratio (ECR) of the three cases is calculated to assess the energy consumption performances. From the perspective of energy conversion, Case 1 shows the best performance with an ECR of 0.34. In addition, element balance analysis is carried out to deeply evaluate the carbon reduction performance of the three cases. This study fills the knowledge gap regarding the carbon footprints for SS thermochemical conversion technologies and provides a reference for future technology selection and policymaking against climate change in the SS management sector.
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Li, Man, Jin He Zhang, Jing Chen, Jing Zhou, and Nan Nan Wang. "Estimating the Energy Carbon Footprint of Huangshan National Park." Advanced Materials Research 535-537 (June 2012): 2214–19. http://dx.doi.org/10.4028/www.scientific.net/amr.535-537.2214.
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Tourism is sensitive to global climate change and greenhouse gas emissions generated by the energy consumption restrict the sustainable development of tourism industry. Methods trying to make the tourism development of sustainability measurable are too confused to be of practical value. To overcome this obstacle, this paper built a Tourism Carbon Footprint Model based on energy consumption structure. With this TCF model, we analyzed carbon footprint of Huangshan between 2006 and 2009. We find that: (1) total carbon footprint of Huangshan increases from 2674.92 hm2 to 3456.76 hm2 at the annual rate of 7%; (2) energy consumption carbon footprint differs significantly in structure. The five kinds of energy carbon footprint, in the descending order, are the electricity, coal, diesel, gasoline, liquefied petroleum gas; (3) analysis of energy consumption carbon footprint shows that Huangshan is sustainable between 2006 and 2009.
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Luan, Xiao-Bo, Ya-Li Yin, Pu-Te Wu, Shi-Kun Sun, Yu-Bao Wang, Xue-Rui Gao, and Jing Liu. "An improved method for calculating the regional crop water footprint based on a hydrological process analysis." Hydrology and Earth System Sciences 22, no. 10 (October 4, 2018): 5111–23. http://dx.doi.org/10.5194/hess-22-5111-2018.
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Abstract. Fresh water is consumed during agricultural production. With the shortage of water resources, assessing the water use efficiency is crucial to effectively manage agricultural water resources. The water footprint is an improved index for water use evaluation, and it can reflect the quantity and types of water usage during crop growth. This study aims to establish a method for calculating the regional-scale water footprint of crop production based on hydrological processes, and the water footprint is quantified in terms of blue and green water. This method analyses the water-use process during the growth of crops, which includes irrigation, precipitation, groundwater, evapotranspiration, and drainage, and it ensures a more credible evaluation of water use. As illustrated by the case of the Hetao irrigation district (HID), China, the water footprint of wheat, corn and sunflowers were calculated using this method. The results show that canal water loss and evapotranspiration were responsible for most of the water consumption and accounted for 47.9 % and 41.8 % of the total consumption, respectively. The total water footprint of wheat, corn and sunflowers were 1380–2888, 942–1774 and 2095–4855 m3 t−1, respectively, and the blue footprint accounts for more than 86 %. The spatial distribution pattern of the green, blue and total water footprints for the three crops demonstrated that higher values occurred in the eastern part of the HID, which had more precipitation and was further away from the irrigation gate. This study offers a vital reference for improving the method used to calculate the crop water footprint.
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Tariq, Muhammad Atiq Ur Rehman, Riley Raimond Damnics, Zohreh Rajabi, Muhammad Laiq Ur Rahman Shahid, and Nitin Muttil. "Identification of Major Inefficient Water Consumption Areas Considering Water Consumption, Efficiencies, and Footprints in Australia." Applied Sciences 10, no. 18 (September 4, 2020): 6156. http://dx.doi.org/10.3390/app10186156.
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Due to population growth, climatic change, and growing water usage, water scarcity is expected to be a more prevalent issue at the global level. The situation in Australia is even more serious because it is the driest continent and is characterized by larger water footprints in the domestic, agriculture and industrial sectors. Because the largest consumption of freshwater resources is in the agricultural sector (59%), this research undertakes a detailed investigation of the water footprints of agricultural practices in Australia. The analysis of the four highest water footprint crops in Australia revealed that the suitability of various crops is connected to the region and the irrigation efficiencies. A desirable crop in one region may be unsuitable in another. The investigation is further extended to analyze the overall virtual water trade of Australia. Australia’s annual virtual water trade balance is adversely biased towards exporting a substantial quantity of water, amounting to 35 km3, per trade data of 2014. It is evident that there is significant potential to reduce water consumption and footprints, and increase the water usage efficiencies, in all sectors. Based on the investigations conducted, it is recommended that the water footprints at each state level be considered at the strategic level. Further detailed analyses are required to reduce the export of a substantial quantity of virtual water considering local demands, export requirements, and production capabilities of regions.
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He, Yugang. "Renewable and Non-Renewable Energy Consumption and Trade Policy: Do They Matter for Environmental Sustainability?" Energies 15, no. 10 (May 12, 2022): 3559. http://dx.doi.org/10.3390/en15103559.
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In the extant literature, there are numerous discussions on China’s environmental sustainability. However, few scholars have considered renewable energy consumption and trade policy simultaneously to debate environmental sustainability. Therefore, this paper attempts to examine how renewable and non-renewable energy consumption, bio-capacity, economic growth, and trade policy dynamically affect the ecological footprint (a proxy for environmental sustainability). Using the data from 1971 to 2017 and employing the auto-regressive distributed lag model to perform an empirical analysis, the results demonstrate that renewable energy consumption and trade policy are conducive to environmental sustainability because of their negative impacts on the ecological footprint. However, the results also indicate that bio-capacity, non-renewable energy consumption, and economic growth are putting increasing pressure on environmental sustainability due to their positive impacts on the ecological footprint. Moreover, to determine the direction of causality between the highlighted variables, the Yoda-Yamamoto causality test was conducted. The results suggest a two-way causal relationship between renewable energy consumption and ecological footprint, non-renewable energy consumption and ecological footprint, and economic growth and ecological footprint. Conversely, the results also suggest a one-way causal relationship running from bio-capacity and trade policy to the ecological footprint.
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Xia, Yan, and Fengsong Pei. "Linking Land use/Cover and Fossil Energy Consumption to Detect the Carbon Footprint Changes in the Yangtze River Delta, China." Journal of Environmental Science and Engineering Technology 10 (December 30, 2022): 20–30. http://dx.doi.org/10.12974/2311-8741.2022.10.03.
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Fossil energy consumption is considered as an important source of carbon emission worldwide. As one of ecological footprint methodology, carbon footprint is emerging as an effective tool for carbon emission management, especially that from fossil energy consumption. Taking one of the most developed regions in China, the Yangtze River Delta as a case study, this paper analyzes carbon footprint of fossil energy consumption through productive lands by explicitly addressing spatial changes of land use/cover. The impacts of land use change on the carbon footprint are then assessed by coupling changes in land use/cover and fossil energy consumption. The results show that carbon footprint from energy consumption in the Yangtze River Delta increased from 322531 km2 in 2001 to 862924 km2 in 2013. Despite the fact that productive lands (i.e., forest and grasslands) were rising, the carbon footprint was still in deficit, about 831873 km2 in 2013. According to scenario analysis, carbon footprint is expected to reach 2572837 km2 in 2025 in the condition of ecological protection, 2604049 km2 in the condition of business as usual and 2609125 km2 in cultivated land protection. The results propose urgent policy measures to protect productive lands to reduce the ecological pressure of carbon emissions from energy consumption.
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Yousefi, Mohammad, Mahmud Khoramivafa, and Abdolmajid Mahdavi Damghani. "Water footprint and carbon footprint of the energy consumption in sunflower agroecosystems." Environmental Science and Pollution Research 24, no. 24 (July 7, 2017): 19827–34. http://dx.doi.org/10.1007/s11356-017-9582-4.
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Rattanapan, Cheerawit, and Weerawat Ounsaneha. "Water Footprint Assessment of Thai Banana Production." International Journal of Environmental Science and Development 12, no. 5 (2021): 151–56. http://dx.doi.org/10.18178/ijesd.2021.12.5.1333.
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The aim of this research was to assess the water footprint level of Thai banana production. Firstly, the water consumption inventory of banana production was developed. The water consumptions in the banana farms and a case study of banana industry were collected based on the inventory. The results showed that the water consumption of banana plantation was 842.02 m3 including 443.50 m3 of green water, 398.52 m3 of blue water and not found grey water. Moreover, 1638.59 m3/rai was found in the one rai of banana plantation consisted of 863.06 m3/rai of green water and 775.53 m3/rai of blue water. From the finding of this study, the reduction approach of water footprint for banana production should be the reduction of watering the plant in the process of banana growing.
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Kononova, Anton Dek, Kateryna. "Bitcoin mining electricity consumption and carbon footprint." RIVISTA DI STUDI SULLA SOSTENIBILITA', no. 2 (January 2020): 73–88. http://dx.doi.org/10.3280/riss2019-002007.
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Güney, Emre, and Nuray Demirel. "Water Footprint Assessment of Carbon in Pulp Gold Processing in Turkey." Sustainability 13, no. 15 (July 29, 2021): 8497. http://dx.doi.org/10.3390/su13158497.
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This paper presents water the footprint assessment (WFA) of carbon in pulp (CIP) gold processing. The main objectives of the study are determining grey and blue water footprints and identifying the hotspots of the process. Results revealed that the total blue water footprint, including the extraction and processing of the gold, was found to be 452.40 m3/kg Au, and the grey WF to be 2300.69 m3/kg Au. According to the results, the lost return flow on the direct blue WF side has the largest contribution, with a value of 260.61 m3/kg Au, and the only source of the lost return flow is the tailing pond. On the indirect side, it is seen that the oxygen consumption used for the leaching process has the highest value, with 37.38 m3/kg. Among the nine contaminants in the mine tailings, the critical component responsible for the grey water footprint is by far arsenic, with a value of 1777 m3/kg Au. The results will be used to make recommendations for reducing water consumption in mining operations, for a better design for the environment. The study is a pioneering study, being the first implementation of water footprint assessment in a gold mine in Turkey.
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Flint Ashery, Shlomit. "Group Consumption and Ecological Footprint: The Effect of Habits and Lifestyle." Sustainability 14, no. 20 (October 15, 2022): 13270. http://dx.doi.org/10.3390/su142013270.
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Different religious communities seem to tell different tales about the influence of consumption on the ecological footprint, and the boundaries created between consumption and places. Our case study, Ramat Shlomo neighbourhood in Jerusalem, is highly segregated and provides us with a unique opportunity to examine the consumption habits of essential products and disposable utensils, as well as the circumstances, barriers, and facilitators that contribute to the production and maintenance of ecological footprints. Using a door-to-door survey, our findings hint at a link between multi-generational consumption habits of certain essential products, including unhealthy food and disposable utensils and low family income, health, and environmental impacts. Aside from affecting an individual’s health, these choices also have a greater footprint. As the Haredi demographic becomes more prominent in Israeli society, its influence on the environment grows. lifestyle characteristics and habits are not merely a product of limited resources and residents may prefer to consume low-quality foods or spend money on plastic even when they can afford other alternatives. Such preferences at the household level affect the larger components of the neighbourhood and affect the entire urban matrix as a whole.
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Jursova, Simona, Dorota Burchart-Korol, and Pavlina Pustejovska. "Carbon Footprint and Water Footprint of Electric Vehicles and Batteries Charging in View of Various Sources of Power Supply in the Czech Republic." Environments 6, no. 3 (March 26, 2019): 38. http://dx.doi.org/10.3390/environments6030038.
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In the light of recent developments regarding electric vehicle market share, we assess the carbon footprint and water footprint of electric vehicles and provide a comparative analysis of energy use from the grid to charge electric vehicle batteries in the Czech Republic. The analysis builds on the electricity generation forecast for the Czech Republic for 2015–2050. The impact of different sources of electricity supply on carbon and water footprints were analyzed based on electricity generation by source for the period. Within the Life Cycle Assessment (LCA), the carbon footprint was calculated using the Intergovernmental Panel on Climate Change (IPCC) method, while the water footprint was determined by the Water Scarcity method. The computational LCA model was provided by the SimaPro v. 8.5 package with the Ecoinvent v. 3 database. The functional unit of study was running an electric vehicle over 100 km. The system boundary covered an electric vehicle life cycle from cradle to grave. For the analysis, we chose a vehicle powered by a lithium-ion battery with assumed consumption 19.9 kWh/100 km. The results show that electricity generated to charge electric vehicle batteries is the main determinant of carbon and water footprints related to electric vehicles in the Czech Republic. Another important factor is passenger car production. Nuclear power is the main determinant of the water footprint for the current and future electric vehicle charging, while, currently, lignite and hard coal are the main determinants of carbon footprint.
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Dixon, Kiera A., Malia K. Michelsen, and Catherine L. Carpenter. "Modern Diets and the Health of Our Planet: An Investigation into the Environmental Impacts of Food Choices." Nutrients 15, no. 3 (January 30, 2023): 692. http://dx.doi.org/10.3390/nu15030692.
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Popular modern diets are often seen as a panacea for improving health and promoting weight reduction. While there is a large body of literature reporting the health benefits of popular diets, few studies have described their planetary benefits. Our investigation aims to evaluate the simultaneous impacts of six popular diets within the United States on both human and planetary health. Using carbon footprint databases and representative meal plans, the environmental and health-related impacts of the Standard American, Mediterranean, vegan, paleo, keto, and climatarian diets are compared using the currently available literature. Results indicate that diets that exhibit lower carbon footprints also have positive effects on human health. The diets found to have the lowest environmental impacts were the vegan, climatarian, and Mediterranean diets. These low-carbon-footprint diets can likely be attributed to a reduced reliance on ruminant meat (cattle and sheep) and processed food consumption, while diets with high carbon footprints are more dependent on ruminant meat and saturated fat. Moderate consumption of meats such as chicken, pork, and fish in conjunction with an emphasis on locally grown fruits and vegetables can be maintained without adversely affecting the planetary carbon footprint and with the added benefit of promoting good health. Thus, making simple substitutions within each individual’s diet can be advertised as an effective approach to collectively lower the environmental impact in tandem with improving health and longevity.
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Li, Qing Song, Qian Wen, Qing Xiang Meng, Xin Li, and Jing Ying Zhao. "Analysis of Carbon Footprint of Energy Consumption in He’nan Province Based on LMD Model." Advanced Materials Research 616-618 (December 2012): 1099–106. http://dx.doi.org/10.4028/www.scientific.net/amr.616-618.1099.
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This article used the Logarithmic Mean weight Divisia Index(LMDI),analyzed the dynamic changes of carbon footprint of the energy consumption and its influencing factors in He’nan province from 1991 to 2010. The results showed that the carbon footprint and its pressure were increasing, and the carbon footprint intensity was decreasing; Economic development was the main factor of the increasing of carbon footprint in He’nan province, the influences of population scales and energy structure on carton footprint was relatively small; the efficiency of energy use was the main factor to restrain the increasing of carbon footprint; optimizing the energy structure and reducing the ratio of coal in energy consumption were the important means to slow down the increasing of carton footprint in He’nan province.
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Wiedmann, Thomas O., Heinz Schandl, Manfred Lenzen, Daniel Moran, Sangwon Suh, James West, and Keiichiro Kanemoto. "The material footprint of nations." Proceedings of the National Academy of Sciences 112, no. 20 (September 3, 2013): 6271–76. http://dx.doi.org/10.1073/pnas.1220362110.
Full textAbstract:
Metrics on resource productivity currently used by governments suggest that some developed countries have increased the use of natural resources at a slower rate than economic growth (relative decoupling) or have even managed to use fewer resources over time (absolute decoupling). Using the material footprint (MF), a consumption-based indicator of resource use, we find the contrary: Achievements in decoupling in advanced economies are smaller than reported or even nonexistent. We present a time series analysis of the MF of 186 countries and identify material flows associated with global production and consumption networks in unprecedented specificity. By calculating raw material equivalents of international trade, we demonstrate that countries’ use of nondomestic resources is, on average, about threefold larger than the physical quantity of traded goods. As wealth grows, countries tend to reduce their domestic portion of materials extraction through international trade, whereas the overall mass of material consumption generally increases. With every 10% increase in gross domestic product, the average national MF increases by 6%. Our findings call into question the sole use of current resource productivity indicators in policy making and suggest the necessity of an additional focus on consumption-based accounting for natural resource use.