Exploring the co-benefits of low-carbon tech-innovation in response to climate change on haze pollution is an important foundation for China’s ecological construction, and also a key path common goal carbon reduction. Based STIRPAT model EKC hypothesis, dynamic spatial Durbin (SDM) constructed empirically analyze mechanism 30 Chinese provinces from 2006 2018. The results show that 1) different ...

Achieving sustainable economic development is always considered one of the main goals countries. Therefore, researchers are interested in presenting new econometric models for more accurate identification factors affecting growth. The current study evaluates impact various aspects freedom (economic freedom, press civil and political rights) an aggregated index on growth European countries from ...

This paper looks beneath the surface of British sub-regional aggregate GVA growth over the period 1995-2004, by examining how the differing growth dynamics of the secondary and services sectors have influenced the overall regional growth process. A spatial econometric analysis is undertaken which tests regional secondary, services and aggregate real GVA per capita for absolute and conditional c...

Toolboxes are the name given by the MathWorks to related sets of MATLAB functions aimed at solving a particular class of problems. Toolboxes of functions useful in signal processing, optimization, statistics, finance and a host of other areas are available from the MathWorks as add-ons to the standard MATLAB software distribution. I use the term Spatial Econometrics Toolbox to refer to my publi...

Spatial econometric methods are used to investigate whether land use changes in one county are affected by changes in surrounding counties. Spatial dependence is hypothesized to arise from land substitution effects among neighboring counties. The estimation uses data on land use change for 1,055 counties of 12 Midwest states. ∗ The authors are PhD candidate, assistant professor and professor, r...