The important source of carbon dioxide (CO2) emission is identified to be energy usage, which the demand is gradually increasing. Currently, many people are exposed to increasing temperatures, which affects to health, environment, and quality of life. Moreover, there are many worries about its continuously increasing trend. This work is interested in studying the association between the annual CO2 emission and the annual mean temperature in Thailand. At a confidence interval of 90%, a statistically significant association between the annual CO2 emission and the annual mean temperature was observed. The appropriate predictive equation represented that the CO2 emission at 0.481 M ton increased the annual mean temperature by about 1°C. The results are useful for planning the reduction of CO2 emissions in Thailand. Fascinatingly, the largest source comes from electricity production, and the most significant energy type is finished oil. Therefore, they should be controlled as the priority. Integrated methods are considered as more efficient strategies for the CO2 crisis.

Issues related to global climate change have attracted widespread attention around the world, and China is no exception. With the introduction of a huge number of foreign direct investment (FDI), carbon dioxide emission pollution, such as ocean acidification, has become a serious threat in the Pearl River Delta (PRD) region. This study constructs models to analyse the effects of FDI on carbon dioxide emissions in the PRD region, as well as to analyse the scale, technique and composition effects in the area. Results indicate that the introduction of FDI can effectively reduce carbon dioxide emissions in the region because the foreign capital could bring environmental-friendly and energy-saving technologies, reduce carbon dioxide emissions per unit of GDP, and lessen damage to the environment. In addition, foreign capital flowing into the secondary sector has caused more serious damage to the environment than those flowing into the tertiary sector. Therefore, the area should actively guide foreign investment into industries with lower pollution and lower emissions. At the same time, strict standards should be developed to slow down the inflow of foreign capital in sectors which are energy-intensive, environmentally damaging, and have low levels of value-added production.

This study focuses on the conversion of chicken fat into chicken fat methyl ester (CFME) and its use in the diesel engine. Baseline fuel i.e., diesel and chicken fat biodiesel are the fuels tested to study their effect on the performance and emission characteristics of diesel engines. To enhance the performance and emission characteristics, ethanol up to 20% is added as an additive to the chicken fat biodiesel. The physiochemical properties revealed that the fuel blends properties are closer to the diesel fuel. The experimental investigations revealed that additive blended biodiesel enhanced the performance by reducing the brake-specific fuel consumption and increasing the brake thermal efficiency. Moreover, the emissions are considerably reduced by the additive blended chicken fat biodiesel. Therefore, chicken fat biodiesel can be considered as a substitute fuel to be used in the diesel engine without any modifications.

Based on academic studies of carbon dioxide emissions, an environmental data envelopment analysis (DEA) model, including undesirable carbon dioxide emissions, is reported here. MaxDEA software was used to calculate carbon emissions performance in the Guangdong Province of China. Our findings revealed that in order to achieve the same level of economic development achievements, carbon emission performance and carbon dioxide pollution are negatively correlated. Moreover, pollution prevention and protection measures can decrease the degree of carbon dioxide pollution. Here, we observed that increasing economic development has a positive effect on carbon emission performance and the greater the energy demand, the higher the degree of pollution. Technological change is a decisive factor influencing carbon emissions performance. By employing technological innovations, energy utilization efficiency and the resulting level of environmental pollution can be greatly improved

Regional logistics with a large quantity of energy consumption and carbon emissions has great important impacts on the regional ecological environment. Therefore, constructing the regional logistics ecosystem has become a crucial way to minimize the environmental impacts. This paper aims to accurately obtain the characteristics and causes of carbon dioxide (CO2) emissions of regional logistics ecosystem. It firstly analyses the main factors affecting carbon emissions of regional logistics ecosystem, and then builds the calculation model and the performance evaluation model of carbon emissions of regional logistics ecosystem respectively based on regional logistics activities and their energy consumption structures. According to energy consumption statistics of 30 provinces in China, it calculates the total amounts and differences of CO2 emissions of logistics activities in different regions of China. The results illustrate that the overall regional logistics ecosystem in China is in its initial stage with huge carbon emissions | and there are significant variations in CO2 emission intensities of regional logistics and CO2 emission amounts per unit of cargo turnover between different regions. This research offers accurate information for policy making of logistics industry and setting the carbon emission reduction targets in different regions of China.