Due to the combined effects of carbon emission and carbon sink, agriculture is acknowledged as an essential contributor to achieve the Chinese government's carbon neutrality goal of 2060, and carbon ...footprint (CF) and carbon footprint intensity are substantial indicators to reveal the carbon emission level. For these reasons, the Theil index technique and extended STIRPAT model were employed to evaluate their spatiotemporal heterogeneity and influencing factors using panel data from 31 provinces for the period 1997–2019. The findings revealed that the CF showed an increasing trend with an annual growth rate of 24.6 %. The carbon footprint intensity (CFI) indicated an evident spatiotemporal heterogeneity and transferred over time, with an average growth rate of 19.82 %. The CFI Theil index and its contribution rate both confirmed that intra-regional difference is the main source of the overall difference, among which, the CFI Theil index displayed the distribution feature of “western (11.50 %) > central (11.12 %) > eastern (10.56 %) > northeast (6.61 %). The contribution rate of CFI illustrated the spatial pattern of “eastern (33.74 %) > central (21.07 %) > western (19.87 %) > northeast (5.24 %). Furthermore, the influencing effects of GDP per capita, planting structure, population density and urbanization level on CF and CFI also demonstrate evident spatiotemporal heterogeneity.
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•Carbon sink is considered into the CF and CFI accounting system.•Theil index method and STIRPAT model are applied to conduct empirical analysis.•CF increased 24.6 % per year and demonstrates “central > northeast > eastern > western”.•CFI presented a spatiotemporal heterogeneity with an average growth rate of 19.82 %.•The influencing effect of CF and CFI indicates obvious spatiotemporal heterogeneity.
The COVID-19 pandemic completely transformed the mobility of cities. The restrictions on movement led to “empty cities” throughout the world, with some environmental effects in terms of clean air and ...the reduction of CO2 emissions. This research considers how COVID-19 mobility restrictions have affected the carbon footprint of four medium-sized Chilean cities (Coronel, Temuco, Valdivia, and Osorno) that have environmental problems and are highly dependent on motorized systems. The study uses data from 2400 household surveys at three distinct times: pre-pandemic - T0 (winter 2019), the time of implementation of restrictive mobility policies to contain the pandemic - T1 (winter 2020), and six months later when those restrictions were gradually lifted - T2 (summer 2021). The analysis suggests that CO2 emissions actually went up, declining in the winter 2020, but then increasing with the greater use of cars in the summer 2021 due to the temporary effects of commuting to work, ultimately reaching levels higher than the pre-pandemic values, known as the “rebound effect.”
•There is a lack of data on COVID-19 impact on carbon footprint at household level in Latin-American cities•Survey of Transport mobilities from 2400 households in four Chilean cities in three times (T0), (T1) and (T2)•CO2 emissions from transport by work and study mobilities were estimated•CO2 emissions actually went up, declining in the winter, but then increasing with use of cars in summer due to commuting to work•CO2 emissions to reach levels higher than the pre-pandemic values, known as a “rebound effect”
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•Comprehensive physical and chemical properties of plastic pyrolysis fuel studied.•Relationship between boiling point and vapor temperature during separation was found.•Best HHV was ...44.6 MJ/kg with 3.6 cSt for viscosity and 12 mg/g for TAN.•Above 40% of olefins included in lighter fractions (<300 °Cb.p.).•CO2 reduction potential for plastic pyrolysis was determined to be 0.26 tCO2/ton.
Pyrolysis is a waste conversion technology to solve an increasing plastic waste issue worldwide. Waste plastic pyrolysis fuel from a commercial-scale pyrolysis plant (10 ton/day) was comprehensively investigated using distillation methods by separating the crude pyrolysis fuel to isolate the diesel-like pyrolysis fuel fraction (C9–C25 for fraction 2 + fraction 3, middle distillate). Other fractions were C5–C10 for the light distillate (fraction 1), and >C25 for the heavy distillate (fraction 4). The relationship between the fuel boiling point and liquid vapor temperature were found for designing a scaled-up oil separation process. The diesel grade pyrolysis fuel fraction comprised approximately 70–80% of the crude pyrolysis fuel, wherein it had values of 43–45 MJ/kg, 1–6 cSt, and 12–42 mgKOH/goil. Meanwhile, the elemental ratios of the crude pyrolysis oil improved to 0.1 for O/C and 1.9 for H/C after separation, close to petroleum fuels (0.0 O/C and 1.95 H/C). The highest relative chemical composition was the olefins (46% in fraction 1 and 41% in fraction 2), whereas the paraffin was approximately 15–20% in the light fraction. Finally, the potential CO2 reduction for the plastic waste-to-energy process was evaluated, revealing that a total of 0.26 tCO2/tonwaste of emissions could be avoided during the waste plastic pyrolysis process.
This study focuses to investigate the relationship between globalization and the ecological footprint for Malaysia from 1971 to 2014. The results of the Bayer and Hanck cointegration test and the ...ARDL bound test show the existence of cointegration among variables. The findings disclose that globalization is not a significant determinant of the ecological footprint; however, it significantly increases the ecological carbon footprint. Energy consumption and economic growth stimulate the ecological footprint and carbon footprint in Malaysia. Population density reduces the ecological footprint and carbon footprint. Further, financial development mitigates the ecological footprint. The causality results disclose the feedback hypothesis between energy consumption and economic growth in the long run and short run.
This study investigates and evaluates the European expert's selection and conjoined degree of willingness to decrease the carbon footprint (WDC) of consuming products and services to mitigate climate ...change. The survey respondents were segregated into four European regions based on their nationality viz. Nordic, Baltic, and Eastern Europe (NBE), Central and South-eastern Europe (CSE), Western and southern Europe (WSE), and North-western Europe (NWE). The WDC are represented by four index categories viz. low willing, moderate willing, willing, and highly willing. The WDC indicators such as housing, food, energy, waste and transport were used to identify the trend and correlation, gender-specific density distribution, and overall regional comparison analysis. The trend and correlation analysis between energy vs. transport, waste vs. food, and a separate state of housing represented the current global carbon emission situation, where four overlapping clusters indicated the respondent's closest or similar selection at their consumption level. The gender-specific density suggests that the male respondent's average WDC for housing and food index ranges from moderate to highly willing. In contrast, the female average WDC for food, waste, energy and transport index ranges from moderate willing to willing and bimodal for other scenarios. Among the regional comparisons, NBE in housing (moderate willing to willing), CSE in food (willing to highly willing), WSE and CSE in energy and all the regions in waste management (willing to highly willing) presented better indices. In transport, Europe as a whole exhibits poor index. In case of WDC index, the regional comparison indicates that the CSE region exhibited better outcomes than the other regions, except for housing. The findings of this study will be beneficial for the common people, researchers, policymakers, and regulators to enrich their future thoughts and contributes to the development and improvement of the existing carbon reduction policies, especially in the transport sector.
•Investigates the European expert's willingness to decrease carbon footprint (WDC).•Nordic, Central, & Western experts exhibited top WDC in housing, food, & energy.•In the WDC of waste, experts from all the regions presented better signs.•In the WDC of transport, all the areas showed poor index.•In general, the central part showed better WDC indices than other areas.
Reduction of waste and carbon footprint can be optimized. Awareness of carbon sources and quantification of the waste are two key parameters. To our knowledge, there is no study in France on waste ...production by the surgical team during the operation in orthopedic surgery, in a global scope. Therefore, we performed an observational investigation aiming to: (1) quantify and characterize the weight of the wastes generated after a panel of orthopedic procedures, (2) calculate the CO2 footprint generated by these wastes and extrapolate the figure at the national scale.
Waste production is highly variable according to the types of procedures and infectious clinical waste is still a predominant source of waste and CO2 emission.
It is a comparative and prospective study in which a total of 14 procedures were selected as a representative panel: arthroplasties (hip, knee), spine fusions, arthroscopic procedures (shoulder, knee), nerve release, forefoot osteotomies, trauma procedures. The main outcome was the average total weight of waste for each of the fourteen categories (280 measurements: 140 times 2, at the end of each procedure), expressed in kilograms (kg), and the proportions of infectious clinical waste (ICW) and household wastes (HW), expressed in percentages. Ten measures were prospectively recorded for each type of procedure in a single teaching hospital from January to September 2022. The theoretical carbon footprint generated by the treatment of the wastes was estimated in kilograms of CO2 equivalent (KgEqCO2). The national extrapolation of the carbon footprint was performed by collecting the total number of procedures in France in 2021 using the VisuChir tool.
A total of 937kg of waste were produced for the 140 procedures, amongst which 514kg of ICW (54.8%) and 423kg of HW (45.2%). The overall median waste weight was 5.9kg (Q1: 4.4, Q3: 8.1), ranging from 1.8kg to 18.3kg. The overall median waste weight for HW was 2.8kg (Q1: 2.5, Q3: 3.4), ranging from 1.8kg to 17.8kg. The overall median waste weight for ICW was 3.8kg (Q1: 2.7, Q3: 4.8), ranging from 0.8kg to 7.2kg. The knee surgeries were responsible for the heaviest waste weight; the least waste-productive procedures were the foot and the carpal tunnel release. The median proportions of ICW varied from 39% for the total knee replacements to 72% for the femoral nails. There was a significant inverse correlation between the total waste weight and the proportion of ICW: r=−0.47, p<10−4. The total median estimated carbon footprint was 4.3KgCO2Eq (Q1: 3.1, Q3: 5.8), ranging from 1.59KgCO2Eq (Q1: 1.5, Q3: 1.8) and 7.07KgCO2Eq (Q1: 6.7, Q3: 8.17). The total median estimated carbon footprint was 3.5KgCO2Eq for ICW (Q1: 2.5, Q3: 4.5) and 0.76KgCO2Eq (Q1: 0.54, Q3: 1.3) for HW. The national median estimated carbon footprint was 10.1 million KgEqCO2 in 2021 for orthopedic surgery.
Our study revealed that in most cases more than half of the wastes were ICW. The total estimated national carbon footprint for orthopedic procedures was 10 million kilograms. The reduction of the ICW constitutes a cornerstone, as they are responsible for more carbon emissions.
III; prospective comparative observational in vivo study.
Carbon footprint estimation for tillage operations Khater, Islam; Mona M. A., Saad; Khaoula, Abrougui
Journal of oasis agriculture and sustainable development (Online),
08/2023, Volume:
5, Issue:
4
Journal Article
Peer reviewed
Open access
As a larger use of agricultural machinery, the measurement of carbon emission is highly important. Quantification of the carbon footprint is important for the identification of more sustainable and ...environmentally friendly practices. Information about input energy (fuel energy) used by some tillage techniques was collected and converted into carbon. In order to use low emission tillage operations, the equivalent carbon emission factors of each tillage technique were determined. The carbon equivalents for using traditional tillage system were the highest comparing with other tillage systems (158.63 kg CE ha-1 and 55.63 kg CO2e ha-1), while No-till system which give (5.8 kg CE ha-1 and 5.45 kg CO2e ha-1). Improved conservation technology and management equipment can all help minimize the carbon footprints of farm machinery.
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