TY - JOUR
T1 - Environment-Related Underlying Dynamics of Project Adaptability
T2 - A Case Study of Sponge-City PPPs in China
AU - Li, Wei
AU - Yuan, Jingfeng
AU - Guo, Jiyue
AU - Liu, Henry
AU - Pan, Yulun
N1 - Funding Information:
The authors’ special thanks go to all reviewers of the paper and to the Qinglan Project of Jiangsu Province of China and the Graduate Research and Innovation Projects of Jiangsu Province (KYCX18_0201) for financially supporting this research.
Publisher Copyright:
© 2022 IAIA.
PY - 2023
Y1 - 2023
N2 - To enhance resilience for adapting to recent severe issues such as flooding and water shortage, Sponge City (SPC) is being delivered by using Public–Private Partnerships (PPPs) across China. Considering a sustainable implementation, an understanding of and effective management for the environment-related underlying dynamics of the adaptability of SPC PPPs are prerequisite. Therefore, we examined a conceptual model integrated with four external environment dimensions, which is useful for identifying externally environmental effects on the project’s adaptability. By utilizing the structural equation modeling techniques, the hypothesized relationships illustrated in the conceptual model were tested and verified. Empirical evidence indicates that the Political Environment has the highest impact followed by the Social, Economic and Natural Environments. Implications generated from the SEM are then discussed for future improvements. This study provides governments with an insight into assessing external environment effects that are significant for (1) improving the adaptability of their projects and then (2) enabling sustainability for infrastructures.
AB - To enhance resilience for adapting to recent severe issues such as flooding and water shortage, Sponge City (SPC) is being delivered by using Public–Private Partnerships (PPPs) across China. Considering a sustainable implementation, an understanding of and effective management for the environment-related underlying dynamics of the adaptability of SPC PPPs are prerequisite. Therefore, we examined a conceptual model integrated with four external environment dimensions, which is useful for identifying externally environmental effects on the project’s adaptability. By utilizing the structural equation modeling techniques, the hypothesized relationships illustrated in the conceptual model were tested and verified. Empirical evidence indicates that the Political Environment has the highest impact followed by the Social, Economic and Natural Environments. Implications generated from the SEM are then discussed for future improvements. This study provides governments with an insight into assessing external environment effects that are significant for (1) improving the adaptability of their projects and then (2) enabling sustainability for infrastructures.
KW - External environment
KW - Project adaptability
KW - Sponge City
KW - Public-Private Partnerships
KW - project adaptability
KW - sponge city
KW - Public–Private partnerships
UR - https://www.scopus.com/pages/publications/85134180293
U2 - 10.1080/14615517.2022.2099729
DO - 10.1080/14615517.2022.2099729
M3 - Article
SN - 1461-5517
VL - 41
SP - 2
EP - 20
JO - Impact Assessment and Project Appraisal
JF - Impact Assessment and Project Appraisal
IS - 1
ER -