TY - JOUR
T1 - Carbon productivity and mitigation
T2 - Evidence from industrial development and urbanization in the central and western regions of China
AU - Wu, Yongjiao
AU - Zheng, Huazhu
AU - Li, Yu
AU - Delang, Claudio O.
AU - Qian, Jiao
N1 - This work was supported by Projects of the National Natural Science Foundation of China (grant No. 41761112, 41771182) and the Key Research Institute of Philosophies and Social Sciences in Guangxi Universities (grant No. 19ZD003).
Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2021/8/12
Y1 - 2021/8/12
N2 - This paper investigates carbon productivity (CP) from the perspectives of industrial development and urbanization to mitigate carbon emissions. We propose a hybrid model that includes a spatial lag model (SLM) and a fixed regional panel model using data from the 17 provinces in the central and western regions of China from 2000 to 2018. The results show that the slowly increasing CP has significant spatial spillover effects, with High–High (H–H) and Low–Low (L–L) spatial distributions in the central and western regions of China. In addition, industrial development and urbanization in the study area play different roles in CP, while economic urbanization and industrial fixed investment negatively affect CP, and population urbanization affects CP along a U-shape curve. Importantly, the results show that the patterns of industrial development and urbanization that influence CP are homogenous and mutually imitated in the 17 studied provinces. Furthermore, disparities in CP between regions are due to industrial workforce allocation (TL), but TL has been inefficient; industrial structure upgrades are slowly improving conditions. Therefore, the findings suggest that, in the short term, policymakers in China should implement industrial development policies that reduce carbon emissions in the western and central regions by focusing on improving industrial workforce allocation.
AB - This paper investigates carbon productivity (CP) from the perspectives of industrial development and urbanization to mitigate carbon emissions. We propose a hybrid model that includes a spatial lag model (SLM) and a fixed regional panel model using data from the 17 provinces in the central and western regions of China from 2000 to 2018. The results show that the slowly increasing CP has significant spatial spillover effects, with High–High (H–H) and Low–Low (L–L) spatial distributions in the central and western regions of China. In addition, industrial development and urbanization in the study area play different roles in CP, while economic urbanization and industrial fixed investment negatively affect CP, and population urbanization affects CP along a U-shape curve. Importantly, the results show that the patterns of industrial development and urbanization that influence CP are homogenous and mutually imitated in the 17 studied provinces. Furthermore, disparities in CP between regions are due to industrial workforce allocation (TL), but TL has been inefficient; industrial structure upgrades are slowly improving conditions. Therefore, the findings suggest that, in the short term, policymakers in China should implement industrial development policies that reduce carbon emissions in the western and central regions by focusing on improving industrial workforce allocation.
KW - Carbon productivity
KW - Central and western regions of China
KW - Industrial workforce allocation
KW - Spatial lag model
KW - Urbanization
UR - http://www.scopus.com/inward/record.url?scp=85114021461&partnerID=8YFLogxK
U2 - 10.3390/su13169014
DO - 10.3390/su13169014
M3 - Journal article
AN - SCOPUS:85114021461
SN - 2071-1050
VL - 13
JO - Sustainability (Switzerland)
JF - Sustainability (Switzerland)
IS - 16
M1 - 9014
ER -
