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Carbon Emissions - Crossref

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Last Updated: 04 November 2022

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Carbon Dioxide Emissions and the Macroeconomy: Evidence from the ASEAN Region

Nevertheless, both trade and FDIs do not significantly contribute to CO2 emissions in the ASEAN region, leading to a variety of ASEAN member countries' trade- and FDI-based growth plans, which bode well for the trade- and FDI-oriented development plans. Since low-carbon technologies and manufacturing methods are largely owned by high-income investment countries, trade and FDI, high-income investing countries, can also be encouraged to facilitate and accelerate the transfer of low-carbon technologies to the ASEAN region's fast-developing countries.

Source link: https://doi.org/10.56899/150.03.13


Effects of Rhus typhina Invasion on Soil Physicochemical Properties and Carbon Emissions in Urban Green Spaces

Alien plants invasion has become a hot topic in the field of ecology. The aims were to investigate the effects of various degrees of R. typhina invasion on soil physicochemical properties and carbon dioxide emissions, as well as the contributing causes on carbon pollution. The results showed that R. typhina invasion greatly raised soil pH, total nitrogen content, quick extraction of glomalin-related soil protein, and cumulative CO2 emissions. The soil after the enforcing of r. typhina has higher uptake of NH4+-N soil compared to the decrease in soil NO3+-N content and soil NO312-N content. Temperature and soil moisture content had significant direct impacts on CEM, with NH4+-N, NO312-N, EEG, and temperature sensitivity of soil organic carbon mineralization Q10 having a direct yet non-significant effect on CEM, according to a survey conducted in TEM.

Source link: https://doi.org/10.3390/f13111827


Estimation of Carbon Emissions from Tourism Transport and Analysis of Its Influencing Factors in Dunhuang

Global carbon pollution reductions can be reduced thanks to effective measurement and monitoring of carbon emissions from tourism transportation. The process modeling technique was used to estimate the carbon emissions from Dunhuang's tourism industry, based on the panel results of Dunhuang's western China from 2010 to 2019. The LMDI decomposition technique was used to determine the contribution of various contributors to the change in tourism traffic carbon dioxide emissions by establishing the Kaya identity of tourism traffic carbon emissions.

Source link: https://doi.org/10.3390/su142114323


The Carbon Emissions Trading Policy of China: Does It Really Promote the Enterprises’ Green Technology Innovations?

The results revealed that the carbon trading policy has a facilitating effect on green technology innovation in China's pilot cities, contributing to substantial spatial heterogeneity in this area; the trading policy has had positive impacts on green technology innovation of non-state and high-tech firms; and there are major urban gaps in eastern China; this includes those of state-owned and high-tech enterprises; and it has no effects on the success of state-owned and high-tech enterprises.

Source link: https://doi.org/10.3390/ijerph192114325


Energy costs vs. carbon dioxide emissions in short-term production planning

More specifically, a close to one association of energy prices and carbon dioxide emissions is often suggested. In this context, we also include on-site power generation in a mixed integer optimization model, combining lot-sizing and machine scheduling under time-varying electric energy costs and carbon dioxide emissions in a mixed integer optimization scheme.

Source link: https://doi.org/10.1007/s11573-020-01000-1


Greenhouse gas emissions and carbon footprint of collard greens, spinach and chicory production systems in Southeast of Brazil

One of modern agriculture's most significant problems is food production in sustainable agricultural systems. Vegetable intercropping can be a way to reduce greenhouse gas emissions by converting monoculture systems. Four scenarios were evaluated: ICS -u2013 collard greens and spinach; MCS -u2013 monoculture collard greens and spinach; MCS -u2013 intercropping collard greens and spinach; ICC - U2013 collard greens and spinach; MCC - monoculture collared greens and chicory; MCC - monoculture collared greens and chicory - MCC - MCC - monoculture collard greens and chicory In ICS and ICC scenarios, the GHG emissions were about 31% lower than those in MCS and MCC scenarios. The carbon footprint in ICS and ICC scenarios in ICS and MCC scenarios was also lower than in MCS and MCC scenarios.

Source link: https://doi.org/10.3389/fpls.2022.1015307


Pedestrian exposure to black carbon and PM2.5 emissions in urban hot spots: new findings using mobile measurement techniques and flexible Bayesian regression models

Abstract Background: Abstract Background: The data from extensive mobile air pollution experiments provides spatially correct data on pedestrians' u2019 exposure to particulate matter, according to abstract Background. octagon and smog devices provide spatially correct information on pedestrians' u2019 exposure to particulate matter. Methods We simulated the mean and variance of the pollutant concentrations obtained from MM in two cities and developed previously used lognormal models with a lognormal-normal convolution extension for BC to account for instrument calibration error. Significance Among other research areas and pollutants, this model could be used for the statistical analysis of MM results from various study areas and pollutants, with the ability to forecast pollutant concentrations in urban areas.

Source link: https://doi.org/10.1038/s41370-021-00379-5


Data-Driven Evaluation of the Synergetic Development of Regional Carbon Emissions in the Yangtze River Delta

Evaluating the degree of coordination among regional carbon emission sources is the key to achieving a carbon peak and carbon freeness. However, quantifying the co-evolution of carbon pollution in particular regions is difficult. The proposed method, according to First, the new technology uses reliable data to determine the temporal trends. Weight is then assigned to each order parameter of the subsystem for data processing using the inverse entropy weight method. We at Then, we do a synergetic development analysis of the composite system to determine the order degree of each subsystem, degree of coordination among subsystems, and overall synergetic growth of carbon emissions between regions. The results show that carbon reduction in the Yangtze River Delta area has yet to be reduced.

Source link: https://doi.org/10.3390/pr10112236


Impact of Economic Growth, Agriculture, and Primary Energy Consumption on Carbon Dioxide Emissions in the Czech Republic

This research was conducted to find out how electricity use and economic development with its components in the Czech Republic affected CO2 emissions. The relationship between CO2 emissions, economic growth, agriculture, and electricity use was investigated using econometric analysis, in particular the Johansen, Vector Error Correction Model, andgranger causality. Economic growth and Agriculture lead to carbon dioxide pollution, which leads to a unidirectional Granger Causality. Agriculture in Granger Causality agriculture is a result of economic development and energy consumption, with economic development and energy consumption being a factor. In addition, there is no Granger Causality between electricity consumption and CO2 emissions, as well as economic growth. In the Czech Republic, this is the first study to use the most recent data to empirically assess the economic and energy use of economic growth and fossil use. This report includes essential information for lowering emissions ns and protecting the climate by expanding renewable energy sources and adhering to the Czech Ministry of Environment's direction.

Source link: https://doi.org/10.3390/en15217887


Can Digital Finance Promote Peak Carbon Dioxide Emissions? Evidence from China

This paper uses Chinese provincial panel results from 2011 to 2019, measures CO2 emissions of provinces in China using the IPCC technique, and examines the effects of digital finance on CO2 emissions via the SAR model and SDM. According to an Empirical review, digital finance has drastically reduced CO2 emissions. The greater the impact of digital finance on CO2 emissions reduction with the growth of digital finance as a result of financial control, green development, and the green finance index.

Source link: https://doi.org/10.3390/ijerph192114276

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions