TY - JOUR
T1 - The asymmetric effect of public private partnership investment on transport CO2 emission in China
T2 - Evidence from quantile ARDL approach
AU - Anwar, Ahsan
AU - Sharif, Arshian
AU - Fatima, Saba
AU - Ahmad, Paiman
AU - Sinha, Avik
AU - Rehman Khan, Syed Abdul
AU - Jermsittiparsert, Kittisak
N1 - Publisher Copyright:
© 2020 Elsevier Ltd
PY - 2021/3/15
Y1 - 2021/3/15
N2 - Transportation infrastructure is a pillar of economic development as well as a main contributor to climate change. Therefore, it is necessary to transform the transport sector investment into climate-resilient, low-carbon transportation choices in order to achieve sustainable transportation infrastructure. In case of China, this transformation might be necessary from the perspective of the “New-style Urbanization” strategy, and for fulfilling this strategy, policy realignment is required. To address this policy-level void in the literature, we explore the influence of public private partnerships investment in transport sector, renewable energy consumption, urbanization on transport-induced carbon emissions in China. For this purpose, we apply Quantile Autoregressive Distributed Lagged (QARDL) method during 1990Q1-2018Q4. Based on the results of the study, a multipronged sustainable development goal (SDG) framework has been suggested, under which SDG 11, SDG 13, and SDG 8 are addressed, while using SDG 17 as a vehicle.
AB - Transportation infrastructure is a pillar of economic development as well as a main contributor to climate change. Therefore, it is necessary to transform the transport sector investment into climate-resilient, low-carbon transportation choices in order to achieve sustainable transportation infrastructure. In case of China, this transformation might be necessary from the perspective of the “New-style Urbanization” strategy, and for fulfilling this strategy, policy realignment is required. To address this policy-level void in the literature, we explore the influence of public private partnerships investment in transport sector, renewable energy consumption, urbanization on transport-induced carbon emissions in China. For this purpose, we apply Quantile Autoregressive Distributed Lagged (QARDL) method during 1990Q1-2018Q4. Based on the results of the study, a multipronged sustainable development goal (SDG) framework has been suggested, under which SDG 11, SDG 13, and SDG 8 are addressed, while using SDG 17 as a vehicle.
KW - Public private partnership investment in transport
KW - Quantile ARDL
KW - Renewable energy consumption
KW - Transport CO emissions
KW - Urbanization
UR - http://www.scopus.com/inward/record.url?scp=85098770613&partnerID=8YFLogxK
U2 - 10.1016/j.jclepro.2020.125282
DO - 10.1016/j.jclepro.2020.125282
M3 - Article
AN - SCOPUS:85098770613
SN - 0959-6526
VL - 288
JO - Journal of Cleaner Production
JF - Journal of Cleaner Production
M1 - 125282
ER -