This paper calculates CO2 emissions embodied in China's international trade using an input–output analysis, for the period 2000–2010. Based on industrial panel data, the two-step GMM estimation is used to test the impacts of FDI, trade openness, exports, imports and per capita income on CO2...

This paper presents estimates of key preference parameters of the Epstein and Zin (1989, 1991) and Weil (1989) (EZW) recursive utility model, evaluates the model’s ability to fit asset return data relative to other asset pricing models, and investigates the implications of such estimates for...

We provide easy to verify sufficient conditions for the consistency and asymptotic normality of a class of semiparametric optimization estimators where the criterion function does not obey standard smoothness conditions and simultaneously depends on some nonparametric estimators that can...

Evidence that asset returns are more highly correlated during volatile markets and during market downturns (see Longin and Solnik, 2001, and Ang and Chen, 2002) has lead some researchers to propose alternative models of dependence. In this paper we develop two simple goodness-of-fit tests for...

<Para ID="Par1">Change in pan evaporation (E<Subscript>pan</Subscript>) has evoked general scientific interest because it involves both climatic and hydrological effects. The enhanced greenhouse effect may be the casual factor, although the mechanism still needs to be further confirmed. Based on meteorological data (Pan evaporation,...</subscript></para>

This paper presents a model for the optimal allocation of water resources in saltwater intrusion areas. The model is comprised of four modules: a joint operation of river and reservoirs module (JORRM), a saltwater intrusion analysis module (SIAM), an economic analysis and in-stream ecology...

This paper employs the input–output (IO) approach to analyze the scale and structure of embodied carbon emissions of China׳s 19 industry sectors during 2001–2011 and constructs a regression model to establish the relationship between energy intensity, per capita output, trade openness,...

We investigate a method for extracting nonlinear principal components. These principal components maximize variation subject to smoothness and orthogonality constraints; but we allow for a general class of constraints and multivariate densities, including densities without compact support and...

Parametric copulas are shown to be attractive devices for specifying quantile autoregressive models for nonlinear time-series. Estimation of local, quantile-specific copula-based time series models offers some salient advantages over classical global parametric approaches. Consistency and...