Stimulating Public Infrastructure Investments Through Privately Financed Projects: A Case of BOT Contracts for Water Sector in Jordan

Yousef Aljaloudi & Moawiah Alnsour

Public Works Management and Policy2026https://doi.org/10.1177/1087724x261435953article
AJG 1
Weight
0.50

What the paper says

Build-Operate-Transfer is an important tool of PPPs in providing the infrastructure in poor countries such as Jordan. In the context of providing infrastructure in poor countries such as Jordan, the present research study focuses on the water sector, as it was one of the first sectors to use BOTs, to formulate an integrated framework. Mixed methods combined qualitative analysis of international and local practice with expert interviews to establish drivers of investment. A second quantitative phase pilot-tested and enhanced the framework. Findings highlighted major regulatory, financial, and operational drivers of investor participation. The study offers an updated framework and policy recommendations to facilitate private sector participation in Jordanian water infrastructure BOT schemes.

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.1177/1087724x261435953

Or copy a formatted citation

@article{yousef2026,
  title        = {{Stimulating Public Infrastructure Investments Through Privately Financed Projects: A Case of BOT Contracts for Water Sector in Jordan}},
  author       = {Yousef Aljaloudi & Moawiah Alnsour},
  journal      = {Public Works Management and Policy},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1177/1087724x261435953},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Stimulating Public Infrastructure Investments Through Privately Financed Projects: A Case of BOT Contracts for Water Sector in Jordan

Flags are reviewed by the Arbiter methodology team within 5 business days.


Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.