TY - JOUR
T1 - Agglomeration effect of CO2 emissions and emissions reduction effect of technology
T2 - A spatial econometric perspective based on China's province-level data
AU - Wang, Bo
AU - Sun, Yefei
AU - Wang, Zhaohua
N1 - Publisher Copyright:
© 2018 Elsevier Ltd
PY - 2018/12/10
Y1 - 2018/12/10
N2 - To clarify the spatial characteristics of CO2 emissions, economic externalities of spatial units are transplanted into CO2 emissions research. Furthermore, to identify emissions reduction pathways, spatial econometric models are constructed based on the patent data about energy conservation and emissions reduction. The key results are: (1) The kernel density plot of China's CO2 emissions shows an obvious right-averse state, and the peak is getting lower. Therefore, we can conclude that CO2 emissions in China are increasing, and polarisation of CO2 emissions is serious; (2) Due to the similarity and connectivity exist in spatial units, China's CO2 emissions have shown a stable spatial agglomeration effect from global and local perspectives; (3) Based on adjacent, geographic, and economic distance matrices, energy technological progress has played a positive emissions reduction role on China's CO2 emissions from the perspective patent data about energy saving and emissions reduction. Finally, on the basis of the above conclusions, some policy implications have been proposed accordingly.
AB - To clarify the spatial characteristics of CO2 emissions, economic externalities of spatial units are transplanted into CO2 emissions research. Furthermore, to identify emissions reduction pathways, spatial econometric models are constructed based on the patent data about energy conservation and emissions reduction. The key results are: (1) The kernel density plot of China's CO2 emissions shows an obvious right-averse state, and the peak is getting lower. Therefore, we can conclude that CO2 emissions in China are increasing, and polarisation of CO2 emissions is serious; (2) Due to the similarity and connectivity exist in spatial units, China's CO2 emissions have shown a stable spatial agglomeration effect from global and local perspectives; (3) Based on adjacent, geographic, and economic distance matrices, energy technological progress has played a positive emissions reduction role on China's CO2 emissions from the perspective patent data about energy saving and emissions reduction. Finally, on the basis of the above conclusions, some policy implications have been proposed accordingly.
KW - Agglomeration effect
KW - CO emissions
KW - Spatial econometric models
KW - Technological progress
UR - http://www.scopus.com/inward/record.url?scp=85053076280&partnerID=8YFLogxK
U2 - 10.1016/j.jclepro.2018.08.243
DO - 10.1016/j.jclepro.2018.08.243
M3 - Article
AN - SCOPUS:85053076280
SN - 0959-6526
VL - 204
SP - 96
EP - 106
JO - Journal of Cleaner Production
JF - Journal of Cleaner Production
ER -