China's rapid economic development has resulted in increasingly serious environmental
pollution that is negatively affecting the health of Chinese citizens. Notably, the unfair …

The living environment is of vital importance to human beings and is also the basis for their
survival and development. Along with the accumulation of people's production and living …

This paper focuses on studying the estimation method of partially linear additive spatial
autoregressive model (PLASARM) by combining both parametric and nonparametric terms …

Exploring the relationships between variables is a crucial component in comprehending
geographical phenomena. Most existing methods ignore the vagueness hidden in spatial …

This article presents a partially linear additive spatial error model (PLASEM) specification
and its corresponding generalized method of moments (GMM). It also derives consistency …

Additive partial linear models with symmetric autoregressive errors of order p are proposed
in this paper for modeling time series data. Specifically, we apply this model class to explain …

The generalized method of moments (GMM) has been recognized as a particularly popular
estimation procedure in terms of computational simplicity and estimation efficiency, in spatial …

This paper aims to propose a profile quasi-maximum likelihood estimation method for
semiparametric varying-coefficient spatial autoregressive (SVCSAR) panel models with …

At present, China is in the historical intersection period of the" two centenary" goals. The
realization of the" carbon neutral" goal has brought new opportunities for the development of …

The partially linear single-index spatial autoregressive models (PLSISARM) can be used to
evaluate the linear and nonlinear effects of covariates on the response for spatial dependent …