For the sustainable development and attention on the environment and energy, the study on the energy effective is important to the theory and the practice. The regional characters of china 31 provincial economic devel...For the sustainable development and attention on the environment and energy, the study on the energy effective is important to the theory and the practice. The regional characters of china 31 provincial economic development and energy effective were analyzed through the spatial statistical model and Moran I index to Panel Data, It is concluded that the provincial regional economic development and energy effective have obvious spatial correlation and cluster in the geographical space, the latter is influenced by its own economic development and the energy effective of neighbor region, so traditional ignoring the point will lead to deviation of model design and the deflection of the result.展开更多
In this paper we discuss the spatial autoregression models. We can use the models to study the data from regions which with spatial dependence. We discuss maximum likelihood estimation(MLE) for the model and the metho...In this paper we discuss the spatial autoregression models. We can use the models to study the data from regions which with spatial dependence. We discuss maximum likelihood estimation(MLE) for the model and the methods of test based on MLE. We also give some results of spatial autoregression models for the fifteen cities of Yangtze River Delta.展开更多
文摘For the sustainable development and attention on the environment and energy, the study on the energy effective is important to the theory and the practice. The regional characters of china 31 provincial economic development and energy effective were analyzed through the spatial statistical model and Moran I index to Panel Data, It is concluded that the provincial regional economic development and energy effective have obvious spatial correlation and cluster in the geographical space, the latter is influenced by its own economic development and the energy effective of neighbor region, so traditional ignoring the point will lead to deviation of model design and the deflection of the result.
文摘In this paper we discuss the spatial autoregression models. We can use the models to study the data from regions which with spatial dependence. We discuss maximum likelihood estimation(MLE) for the model and the methods of test based on MLE. We also give some results of spatial autoregression models for the fifteen cities of Yangtze River Delta.
