Purpose - It is important to figure out the relationship between tourism carbon emissions and tourism economics for a healthy tourism development. Research design, data, and methodology - Data of this study are collected from 27 provinces (cities) of China. Tourist consumption stripping coefficient is used to calculate tourism carbon emissions. SBM-Undesirable model is used to measure the efficiency of tourism economics under the constraint of tourism carbon emissions. Results - The results show that: during the year of 2005-2015, there are obvious differences in totals and intensities of tourism carbon emissions among 27 provinces and cities which can be divided into three areas. There is a high possibility of underestimating the actual efficiency of tourism economics by leaving tourism carbon emissions out of account, and a high inefficiency caused by tourism carbon emissions will lead a low efficiency of tourism economics. Conclusions - The development of tourism should give consideration to both economic and environmental benefits, and reduce the inefficiency caused by tourism carbon emissions to improve efficiency of tourism economics by improving the level of technical efficiency and promoting technological progress.

The objective of this research was to estimate the greenhouse gas (GHG) emission factors for food, paper, and wood wastes through methane (CH4) flow analysis. The GHG emissions from a given amount of landfill waste depend on the carbon (C) flows in the waste: (1) carbon storage in landfills, (2) C in carbon dioxide (CO2) and CH4 generated in anaerobic waste decomposition, (3) C in CO2 and CH4 emitted to the atmosphere through vertical gas wells, (4) C in CO2 from CH4 oxidation through cover soils, and (5) C in CH4 emitted to the atmosphere through cover soils. This study reviews the literature on the ranges for DOCf (the fraction of degradable organic carbon that can decompose) and OX (oxidation factor) values of food, paper, and wood, with a particular focus on the role of lignin. There is an inverse relationship between lignin and the DOCf of paper and wood wastes. In this respect, the lignin content could be used as an abatement indicator for the DOCf of paper and wood. The literature review shows that the average DOCf values for food, paper, and wood were 0.72, 0.61, and 0.12, respectively. The country-specific DOCf value for wood (0.44) is significantly higher than the ranges reported in the literature, which implies that the country-specific DOCf for wood can overestimate GHG emissions compared to the DOCf obtained from the literature. The estimated GHG emissions factors were 1,055 kg-CO2e/ ton-wet waste for food, 1,367 kg-CO2e/ton-wet waste for paper, and 276 kg-CO2e/ton-wet waste for wood. Sensitivity analysis results showed that the most influential parameters were MCF (CH4 correction factor), DOCf, and OX. In order to reduce GHG emissions from landfill in Korea, landfill sites currently in operation should be converted from anaerobic to semi-aerobic.

The Intergovernmental Panel on Climate Change (IPCC) recommended the first order decay (FOD) model for estimating methane emissions from solid waste landfills. However, selecting appropriate parameter is a major challenge in methane emission modeling. The degradable organic carbon (DOC) and the fraction of degradable organic carbon which decomposes (DOCF) are the two primary parameters in the methane generation potential (L0). The DOC is the amount of organic carbon that can be decomposed by biochemical reactions in microorganisms. Chemical analysis methods are currently available to measure the DOC including using total organic carbon and element analysis methods. However, chemical analysis methods are not appropriate for determination of the DOC, which indicated that the DOC should be measured by biochemical tests. In addition, these methods should consider a fossil carbon content that needs a complex and high cost of analysis. The DOCF is an estimate of the fraction of carbon that is ultimately degraded and released from landfills. However, no methodology is provided for determination of the DOCF in landfills. Therefore, the purpose of this study was to suggest methodologies for the determination of DOC and DOCF in solid waste landfills. A biochemical methane potential (BMP) test could be used to calculate the DOC because the BMP represents an upper limit on the methane potential of a waste, which corresponds to a maximal amount of degraded organic carbon. The calculation was based on the assumption that the DOCF is 100%. In this study, two methodologies were suggested to determine the DOCF in landfills. The first one uses a new equation (DOCF = 2.76W-0.44) with moisture content in the landfill that actual methane flux data are unavailable. Moisture content is a major ecological parameter on the anaerobic biodegradability of the solid waste in the landfill. Another methodology is to use L0,Landfill/L0,BMP ratio. The L0,Landfill could be determined by a regression analysis if methane flux data were available.

On the basis of specifications to improve our carbon emissions constraints mechanism, making the appropriate improvements of the traditional performance evaluation index system. Increase carbon constraints performance indicators: the amount of carbon emissions trading, Carbon assets net profit margin, carbon-income ratio, the ratio of carbon costs, carbon assets turnover, unit profit of carbon emissions, CO2 emissions of Yuan output value, in order to fully assess the financial performance and non-financial performance, enable the enterprise performance evaluation system better and more responsive to the requirements of sustainable development, and more convincing.

The paper deals with the impact of the product distribution and information technology sectors on energy resource use, carbon emissions and economic growth by examining the long-run equilibrium relationships and Granger causal relationships among these variables in South Korea. The quarterly time series data from the first quarter of 1970 to the third quarter of 2010 (163 observations) are collected and retrieved from the Bank of Korea database. The paper examines the long-run equilibrium relationships using cointegration techniques and Granger causality using vector error correction models. Test results indicate a long-run equilibrium relationship exists among these variables. In testing directional causality, both the product distribution and the information technology sectors show direct effects on economic growth but only marginal effects on carbon emissions.

The effects of probiotic additions to feed and manure on temperature, humidity and carbon dioxide (CO2) emissions in Hanwoo manure during summer (4 weeks) were evaluated. Fifteen Hanwoo (24-mo-old, 580 ± 20 kg) were housed in individual pens (5 × 8 m) and randomly assigned to 1 of 3 treatments (n = 5 cattle per treatment). Hanwoo were fed experimental rations as follows: control (10 kg roughage + 2 kg concentrate); T1 (10 kg roughage + 2 kg concentrate, 2% probiotics on as-fed basis); and T2 (10 kg roughage + 2 kg concentrate, 2% probiotics on as-fed basis + 7 kg probiotics as top-dressing on the surface of Hanwoo manure). In comparison to the control, the addition of probiotics to feed or feed and manure had an effect (P < 0.05) on temperature and humidity over the 4 weeks, except for humidity at 0 weeks. The only significant difference (P < 0.05) observed in CO2 emission was among all treatments at 3 and 4 weeks (but not at 0 through 2 weeks). These results indicated that use of probiotics as feed and manure additives did not have a significant effect on environmental parameters.

Increasing carbon dioxide emissions from fossil fuel use and land-use change has been perturbing the balanced global carbon cycle and changing the carbon distribution among the atmosphere, the terrestrial biosphere, the soil, and the ocean. SGCM(Simple Global Carbon Model) was used to simulate global carbon cycle for the IPCC emissions scenarios, which was six future carbon dioxide emissions from fossil fuel use and land-use change set by IPCC(Intergovernmental Panel on Climate Change). Atmospheric CO2 concentrations for four scenarios were simulated to continuously increase to 600～1050ppm by the year 2100, while those for the other two scenarios to stabilize at 400～600ppm. The characteristics of these two CO2-stabilized scenarios are to suppress emissions below 12～13 Gt C/yr by the year 2050 and then to decrease emissions up to 5 Gt C/yr by the year 2100, which is lower than the current emissions of 6.3±0.4 Gt C/yr. The amount of carbon in the atmosphere was simulated to continuously increase for four scenarios, while to increase by the year 2050～2070 and then decrease by the year 2100 for the other two scenarios which were CO2-stabilized scenarios. Even though the six emission scenarios showed different simulation results, overall patterns were such similar that the amount of carbon was in the terrestrial biosphere to decrease first several decades and then increase, while in the soil and the ocean to continuously increase. The ratio of carbon partitioning to the atmosphere for the accumulated total emissions was higher for the emission scenario having higher atmospheric CO2, however that was decreasing as time elapsed. The terrestrial biosphere and the soil showed reverse pattern to the atmosphere.