the purpose of this study is to investigate the factors affecting the manufacturing industry wage among selected developing countries based on new economic geography theory. more specifically, we use a panel data model to study the spatial structure of wages in 136 countries for the period 1998-2007. the results indicate that this theory provides a good description of the spatial structure of w...

The main objective of this study is to evaluate the impact of maritime transportation instability on international trade instability based on wavelet smoothing and spatial panel data econometric method during the period 1990-2012. The results showed that the spatial effects have an impact on international trade instability. So that a sudden 100 percent increase in international trade in the nei...

Due to criticisms of potential identification issues within spatial panel data models, this study contributes to the literature by comparing forecasts of U.S. state-level carbon dioxide emissions against empirical reality using panel data models with and without spatial effects. From a policy standpoint, understanding how to predict emissions is important for designing climate change mitigation...

This paper studies the long-run convergence of per-capita GDP across European regions. Most of the empirical works in this area are based on either cross-sectional or a-spatial panel data xed-e ects estimates. Here, we propose the use of panel data econometrics models that incorporate an explicit consideration of spatial dependence e ects (Anselin, 1988; Elhorst, 2001; 2003). This allows us to ...

the main objective of this study is to evaluate the spatial effect on fluctuations of trade based on the spatial panel data econometric method and wavelet smoothing using bilateral trade weighted matrix. the negative spatial dependent are estimated. using data from 34 most-important countries the period of 1980-2010 are investigated through spatial model and maximum likelihood estimation method...

environmental kuznets curve (ekc) is one of the known concepts in environmental economics developed dramatically over the last twenty years ago. one of the advances in studying the relationship between economic growth and environmental quality is concerning the spatial autocorrelation of ecological phenomena. the rationale behind spatial environmental kuznets curve (sekc) is similar to ekc incl...

Regression analysis with geographic information needs to take into consideration the inherent spatial autocorrelation and heterogeneity of the data. Due to such spatial effects, it is found that local regression such as the geographically weighted regression (GWR) tends to capture the relationships better. In addition, in panel data analysis, the variable coefficient panel regression can borrow...

Due to criticisms of potential identification issues within spatial panel data models, this study contributes to the literature by comparing forecasts of provincelevel carbon dioxide emissions against empirical reality using dynamic, spatial panel data models with and without fixed effects. From a policy standpoint, understanding how to predict emissions is important for designing climate chang...