| Title | China's CO2 emission intensity and its drivers: An evolutionary Geo-Tree approach |
|---|---|
| ID_Doc | 33157 |
| Authors | Zhou, YN; Poon, J; Yang, Y |
| Title | China's CO2 emission intensity and its drivers: An evolutionary Geo-Tree approach |
| Year | 2021 |
| Published | |
| Abstract | Current studies have focused on China's CO2 emission intensity (CEI); however, its geospatial temporal effect is still not clear. Here, we constructed an evolutionary Geo-tree model in combination with spatial econometrics to examine geospatial temporal processes affecting CEI. The Geo-tree provides a schema to geovisualize the effects of CEI' s drivers from 1990 to 2016. Spatial econometric outputs indicate that affluence or economic development as well as low-carbon technology has significant inhibitory effects on CEI. Furthermore, the direct inhibitory effect of affluence strengthened over time. In contrast, energy consumption structure and innovation represented by patent raise CEI. While the positive effect decreased over time for energy consumption as coal consumption fell, it remained relatively stable for patent level. Urbanization level as well as industrial development are also positive but not significant in 2006-2016. When the spatial model analysis is combined with the evolutionary Geo-tree, the geovisualization model depicts a taller green tree over time with denser foliage at the crown. As the spatial econometrics results suggest, such evolution towards a lower carbon economy among a number of provinces is likely explained by affluence and, to a lesser extent, the adoption of low-carbon technology. Geo-tree also shows that many provinces are relatively urbanized by 2016 which explains why this factor has no effect in the second period. |
Similar Articles
| ID | Score | Article |
|---|---|---|
30580
|
Zhao, HX; Cheng, Y; Liu, Y Spatiotemporal evolution of carbon emission intensity and the driving effect of green technology innovation: Evidence from China(2023)Environmental Science And Pollution Research, 30, 46 | |
| 30623
|
Cai, AX; Zheng, SY; Cai, LH; Yang, HM; Comite, U How Does Green Technology Innovation Affect Carbon Emissions? A Spatial Econometric Analysis of China's Provincial Panel Data(2021) | |
| 33407
|
Liang, DP; Liu, JJ; Liu, MT; Sun, JY Does information infrastructure and technological infrastructure reduce carbon dioxide emissions in the context of sustainable development? Examining spatial spillover effect(2024)Sustainable Development, 32.0, 3 | |
| 33263
|
Zeng, SH; Li, TF; Wu, SM; Gao, WJ; Li, G Does green technology progress have a significant impact on carbon dioxide emissions?(2024) | |
| 32936
|
Wang, S; Wang, YX; Zhou, CX; Wang, XL Projections in Various Scenarios and the Impact of Economy, Population, and Technology for Regional Emission Peak and Carbon Neutrality in China(2022)International Journal Of Environmental Research And Public Health, 19.0, 19 | |
| 30711
|
Chen, HY; Yi, JZ; Chen, AB; Peng, DX; Yang, JQ Green technology innovation and CO2 emission in China: Evidence from a spatial-temporal analysis and a nonlinear spatial durbin model(2023) | |
| 32381
|
Yuan, S; Pan, XF The spatiotemporal effects of green fiscal expenditure on low-carbon transition: empirical evidence from china's low-carbon pilot cities(2023)Annals Of Regional Science, 70, 2 | |
| 30804
|
Sun, HY What are the roles of green technology innovation and ICT employment in lowering carbon intensity in China? A city-level analysis of the spatial effects(2022) | |
| 31089
|
Ding, WN; Han, BT; Zhao, X; Mazzanti, M How does green technology influence CO2 emission in China? - An empirical research based on provincial data of China(2015)Journal Of Environmental Biology, 36, 4 | |
| 33698
|
Liu, JH; Li, MX; Ding, YT Econometric analysis of the impact of the urban population size on carbon dioxide (CO2) emissions in China(2021)Environment Development And Sustainability, 23.0, 12 |