We introduce a bivariate bidimensional mixed-effects regression model, motivated by the analysis of CO 2 $$ {\mathrm{CO}}_2 emission levels and growth on OECD countries from 1990 to 2018. The model is able capture heterogeneity across allows for full association structure among outcomes, assuming discrete distribution random terms with possibly different number support points in each univariate...

Despite the fundamental role of human-induced forces in global environment having changed, knowledge about specific factors that cause these impacts is limited and uncertainties remain. In this respect, ecological footprint emerges as a concept used to emphasize both apparent unsustainability current practices inequalities resource consumption among countries. The provides method for measuring ...

With the Paris Agreement coming into effect, China, as the largest CO₂ emitter in the world, will be facing greater pressure to reduce its carbon emissions. This paper discusses how to solve this issue from the perspective of financial development in China. Although many studies have analyzed its impact on carbon emissions, the conclusions are contradictory. A major criticism of the existing st...

What factors determine the spatial heterogeneity of household energy consumption (HEC) in China? Can the impacts of these factors be quantified? What are the trends and characteristics of the spatial differences? To date, these issues are still unclear. Based on the STIRPAT model and panel dataset for 30 provinces in China over the period 1997–2013, this paper investigated influences of the inc...

Carbon emissions from energy consumption of Shandong province from 1995 to 2012 are calculated. Three zero-residual decomposition models (LMDI, MRCI and Shapley value models) are introduced for decomposing carbon emissions. Based on the results, Kendall coordination coefficient method is employed for testing their compatibility, and an optimal weighted combination decomposition model is constru...

Municipal infrastructure is a fundamental facility for the normal operation and development of an urban city and is of significance for the stable progress of sustainable urbanization around the world, especially in developing countries. Based on the municipal infrastructure data of the prefecture-level cities in China, municipal infrastructure development is assessed comprehensively using a FA...

This paper proposes an extended Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model to investigate the factors driving industrial carbon emissions in China. In the first stage, a spatial Durbin model is applied to investigate the determinants of regional industrial carbon emissions. In the second stage, a geographically and temporally weighted regression is...

Straw resources are abundant in Jiangsu province, the utilization and burning of straw is an important problem agriculture carbon emission reduction. In order to analyze effect straw’s comprehensive technology on agricultural emission, STIRPAT model introduced, which takes as core explanatory variable while other influencing factors control variables, ridge regression adopted conduct empirical ...