| Srl | Item |
| 1 |
ID:
178830
|
|
|
|
|
| Summary/Abstract |
Information and communication technology supported by the internet has become an important driving force that promotes the intelligent development of environmental governance in China. Using Chinese provincial panel data for the period 2006–2017, this study investigates whether the internet has improved China's green total factor energy efficiency (GTFEE) using a dynamic spatial Durbin model, mediation effect model and dynamic threshold panel model. The empirical results indicate that the GTFEE has a significant positive spatial correlation. Internet development can not only directly improve local GTFEE but also improve GTFEE in neighboring regions. After accounting for potential endogeneity, this conclusion is still valid. Meanwhile, internet development can indirectly improve regional GTFEE by reducing the degree of resource mismatch while enhancing GTFEE by improving regional innovation capabilities and promoting industrial structure upgrades. In addition, the regression results of the dynamic threshold model show that there is a nonlinear relationship between the influence of the internet development and GTFEE. Specifically, due to an increase in the degree of labor resource mismatch and capital resource mismatch, the impact of the internet on GTFEE has gradually decreased, and this effect has gradually increased with the improvement of regional innovation capabilities and the industrial structure.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2 |
ID:
166312
|
|
|
|
|
| Summary/Abstract |
Energy consumption may play different roles at different stages of urbanization and economic growth. Given China's rapid economic development and urbanization process, this study tries to explore the possible nonlinear relationship between energy consumption and urbanization in China. Against the background of promoting new-type urbanization, the level of China's urbanization is evaluated comprehensively using the entropy method. A newly-developed dynamic threshold panel model is employed to examine the nexus of energy consumption and comprehensive urbanization with full consideration of heterogeneous characteristics. The Panel Data Vector Autoregression, or PVAR, model is also used to estimate the direct effects of various energy consumption patterns on the urbanization. The empirical results indicate that the nexus of energy consumption and urbanization is indeed nonlinear and that energy consumption is conducive to promote China's urbanization at the current stage of development. However, the positive effect decreases when there is an increase in energy consumption intensity and energy consumption scale, whereas the effect increases with the promotion of energy consumption structure.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|