We consider a set of minimal identification conditions for dynamic factor models. These conditions have economic interpretations, and require fewer number of restrictions than when putting in a static-factor form. Under these restrictions, a standard structural vector autoregression (SVAR) with...

Micro-grids have been developed for over two decades as building blocks for future smart grids. Micro-grids have appeared with the advantages such as control flexibility, easy connection of renewable resources, high efficiency and immunity to large area blackouts. Similar to other countries,...

This study analyzed the economic impacts of carbon ETS (emission trading scheme) policy among four energy intensive sectors in Guangdong province with a two-region dynamic CGE model. Five cases are considered to achieve Copenhagen target towards 2020 in Guangdong, including a reference case, two...

Using survey data from China, this paper tests the association between individual self-reported happiness and income inequality. The hypothesized relationship between income inequality and individual happiness is an inverted-U shaped association based on the tunnel effect theory proposed by...

As the region with the fastest and highest level of economic growth in China, the instability of the Pearl River Delta Economic Region's (PRDER) housing prices has always been a social focus. In order to make housing price stabilization policies effective, more research is required about China's...

High dimensional factor models can involve thousands of parameters. The Jacobian matrix for identification is of a large dimension. It can be difficult and numerically inaccurate to evaluate the rank of such a Jacobian matrix. We reduce the identification problem to a small rank problem, which...

Three locations in the midwestern US were evaluated for saline reservoir sequestration of CO2 transported from refineries and chemical plants along existing pipeline rights-of-way. Based on formation volume calculations, the potential storage capacity in a single formation (the Mt. Simon...

The changes of spatial pattern in energy consumption have an impact on global climate change. Based on the spatial autocorrelation analysis and the auto-regression model of spatial statistics, this study has explored the spatial disparities and driving forces in energy consumption changes in...