R10 - General Regional Economics (includes Regional Data)Return
Results 1 to 2 of 2:
Investigating Spatial-Temporal Pattern and Inducing Factors to Green Technology Innovation and High-Quality Economic DevelopmentChen Yang, Xu Shaorui, Ali FarhanPrague Economic Papers 2022, 31(3):296-323 | DOI: 10.18267/j.pep.807 Green development prioritizes ecology and sustainability and strengthens scientific and technological innovation to drive high-quality economic development. This paper con- structs a coupled coordination model of a system evaluation index to explore the spatial and temporal pattern of green technology innovation and high-quality economic development. it also employs a Tobit regression model to analyse the influencing factors of coordinated development further. For this purpose, panel data on 30 Chinese provincial administrative regions were selected, ranging from 2010 to 2019. The results indicate that the level of coupling and coordination of green technology innovation with high-quality economic quality shows a steady upward trend and the evolution trend of "basic, moderate, and high coordination". At the same time, differences in coordinated development between regions are obvious, showing a development trend of "high in the east and low in the west". It is affected positively by the industrial structure, urbanization level, economic development level, R&D investment, foreign investment and education investment. In contrast, energy consumption has inhibited the coordinated development of green technology innovation and a high-quality economy coupling. |
On Net External Assets in Regions And States of the U.S.A.Petr DuczynskiPrague Economic Papers 2009, 18(4):342-352 | DOI: 10.18267/j.pep.358 We present rough estimates of net external assets for 8 regions and 51 states of the United States. These estimates have been derived from the data on gross state product and state personal income. We identify the largest creditors and debtors and observe relatively important disparities in net external assets across the states and regions. The analysis is also focused on various trends in the indebtedness of regional economies. Using the correlation matrices for selected base years, the degree of capital mobility across regions and states is quantiied. We provide some evidence that states are more open to capital lows than regions. In the end, the convergence of net external assets between 1980 and 2000 is conirmed. |