| Title |
How does green technology influence CO2 emission in China? - An empirical research based on provincial data of China |
| ID_Doc |
31089 |
| Authors |
Ding, WN; Han, BT; Zhao, X; Mazzanti, M |
| Title |
How does green technology influence CO2 emission in China? - An empirical research based on provincial data of China |
| Year |
2015 |
| Published |
Journal Of Environmental Biology, 36, 4 |
| DOI |
|
| Abstract |
This paper investigates the role of green innovations aimed at reducing carbon dioxide emissions as a factor that compensates for growth and population effects. It has been shown from tests that the positive effect of green innovations on carbon emissions exists within a STIRPAT framework from a local perspective. The panel data is derived from China Statistical Yearbook and China Intellectual Property Office covered from 1999 to 2013. In addition,the static panel model was run to estimate the diversity among three typical regions of China. The main result shows that the green technology change has not played a dominant role yet in promoting environmental protection, while a scale effect (Affluence and Population)still prevails, although green patents show positive influences on the CO, emission reduction inthe whole country as well as the East and West regions, except the Central region. Moreover, it turns out that the classical EKC hypothesis does stand in China, referring to the three regions with the inverted "U" shape. The analysis gives suggestions to the policy makers, which would support enlarging the investment scale on green patents and encourage international corporation with environmental related innovations. |
| Author Keywords |
CO2 Emissions; Green patent; STIRPAT Model; Regional effect |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI) |
| EID |
WOS:000358754200007 |
| WoS Category |
Environmental Sciences |
| Research Area |
Environmental Sciences & Ecology |
| PDF |
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