Natural gas plays an important role in the mitigation of climate change, yet its development is constrained by the current natural gas pricing mechanism in China. In the context of the natural gas pricing reform, this paper analyzes the potential effects on price level and total output. Through the input–output model, some conclusions are drawn as follows: (1) The gas pricing reform has relatively great impact on the products’ price of the sectors that have large gas consumption, such as industrial sectors and some service sectors, and on the total output of the gas production and supply sectors and the petroleum and natural gas extraction sectors, whereas the reform has relatively small impact on other industries; (2) effects of gas pricing reform on urban and rural residents are dissymmetrical, with larger effects on urban residents and (3) the reform has relatively small impacts on both various price indices and total output levels; thus, the government can realize the promotion of gas pricing reform nationwide at a cost of relatively small increase in general price level and little lose of total output.
<正>Previously reported in the Mesozonic Tibet and the early Paleozoic Polar Ural,Russia,diamond and other deep minerals are found in ophiolite mantle peridotite chromite that need to be reconsidered ophiolite and chromite traditional understanding of the causes of shallow.The ophiolitic chromitite can be divided two classes,the high-Cr chromitite and high-Al chromitite. 相似文献
Understanding of biomass and water allocation in plant populations will provide useful information on their growth pattern and resource allocation dynamics. By direct measurement, the biomass and water... 相似文献
Currently, ensemble seasonal forecasts using a single model with multiple perturbed initial conditions generally suffer from an “overconfidence” problem, i.e., the ensemble evolves such that the spread among members is small, compared to the magnitude of the mean error. This has motivated the use of a multi-model ensemble (MME), a technique that aims at sampling the structural uncertainty in the forecasting system. Here we investigate how the structural uncertainty in the ocean initial conditions impacts the reliability in seasonal forecasts, by using a new ensemble generation method to be referred to as the multiple-ocean analysis ensemble (MAE) initialization. In the MAE method, multiple ocean analyses are used to build an ensemble of ocean initial states, thus sampling structural uncertainties in oceanic initial conditions (OIC) originating from errors in the ocean model, the forcing flux, and the measurements, especially in areas and times of insufficient observations, as well as from the dependence on data assimilation methods. The merit of MAE initialization is demonstrated by the improved El Niño and the Southern Oscillation (ENSO) forecasting reliability. In particular, compared with the atmospheric perturbation or lagged ensemble approaches, the MAE initialization more effectively enhances ensemble dispersion in ENSO forecasting. A quantitative probabilistic measure of reliability also indicates that the MAE method performs better in forecasting all three (warm, neutral and cold) categories of ENSO events. In addition to improving seasonal forecasts, the MAE strategy may be used to identify the characteristics of the current structural uncertainty and as guidance for improving the observational network and assimilation strategy. Moreover, although the MAE method is not expected to totally correct the overconfidence of seasonal forecasts, our results demonstrate that OIC uncertainty is one of the major sources of forecast overconfidence, and suggest that the MAE is an essential component of an MME system. 相似文献
