[Spatial temporal differentiation of product-based and consumption-based CO2 emissions and balance in the Beijing-Tianjin-Hebei region: an economic input- output analysis].

Distinguishing product-based and consumption-based CO2 emissions in the open economic region is the basis for differentiating the emission responsibility, which is attracting increasing attention of decision-makers'attention. The spatial and temporal characteristics of product-based and consumption-based CO2 emissions, as well as carbon balance, in 1997, 2002 and 2007 of JING- JIN-JI region were analyzed by the Economic Input-Output-Life Cycle Assessment model. The results revealed that both the product- based and consumption-based CO2 emissions in the region have been increased by about 4% annually.

[County scale characteristics of CO2 emission's spatial-temporal evolution in the Beijing-Tianjin-Hebei Metropolitan Region].

CO2 emission spatial distribution is characterized by stages. The study on regional distribution characteristics and evolution can supply important evidence for CO2 emission reduction. Based on CO2 emission data of 128 county areas in the Beijing-Tianjin-Hebei Metropolitan Region (BTHMR) from 1990 to 2009, the spatial pattern and spatial dependence of CO2 emission were discussed by using cartogram and spatial autocorrelation analysis methods.

[Energy consumption and GDP growth in Beijing: cointegration and causality analysis].

In this paper, the Johansen cointegration technique and the vector error correction model (VECM) were used to examine the causal relationship between energy consumption (LEC) and gross domestic product (LGDP) for Beijing during the period of 1980 to 2008. Results indicated that LEC and LGDP for Beijing were related by one cointegrating vector and there was a long-run unidirectional causal relationship from GDP to energy consumption. The long-term and short-term elasticity from economy to energy consumption were 0.

[Uncertainty analysis for evaluating methane emissions from municipal solid waste landfill in Beijing].

In order to improve the accurate evaluation of CH4 emissions from municipal solid waste landfill in Beijing, FOD-model and Monte Carlo method were conducted. Based on local data, national data and experts' experience, the uncertainty of FOD-model and parameters' sensitivity analysis were identified. And we quantified effect of various parameters on model output.

[Progress in research of urban greenhouse gas emission inventory].

Urban areas carry main responsibility for consuming massive energy sources and make great contribution to global anthropogenic greenhouse gas emissions. City and local governments are seen to have a key role in climate mitigation. Hence,one of the important work concerns accounting for city greenhouse gas (GHG) emissions, because it plays significant role in setting reduction targets and evaluating success of local measures.