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PurposeThe purpose of this study is to identify driving factors and a quantitative model for implementing public-private partnership (PPP) projects in Ethiopia as a case study in emerging economies.Design/methodology/approachA review of the literature and semi-structured interviews were carried out to identify driving factors affecting the implementation of PPP projects in the Ethiopian context. Data were collected through a questionnaire survey within three months, with 59 validated responses; mean score technique and factor analysis were conducted. The fuzzy synthetic evaluation (FSE) method was applied to develop a driving index (DI) for implementing infrastructure PPP projects. Finally, a comparative analysis of top-five drivers was conducted between four emerging economies.FindingsMean values show that all driving variables are important. Through factor analysis, 22 identified driving variables were grouped into six factors, namely, benefit for public and private sectors, attention of private sector, social development, cost reduction, management ability of public sector and ability of private sector. The FSE method constructs a DI and shows that benefit for public and private sectors is the most crucial factor for PPP implementation in the context of Ethiopia. Apart from this, most driving forces for adopting PPP projects in these countries related to financial problems.Originality/valueThis study is one of the first integrate driving factors for PPP implementation. The index provides the decision-makers with a comprehensive tool to assess the needs of PPP implementation.

Public–private partnerships (PPPs) have been adopted in many countries around the world due to pressure from reduced budgets and lack of experience in the public sector. However, not all PP...

Location selection is one of the most important aspects of feasibility studies in all types of businesses and construction fields. However, poor project location selection is one of the leading causes of project failure, adversely affecting the cost, schedule, and other benefits of investors. This paper proposes an evaluation framework for selecting a sustainable location for investing in public&ndash, private partnership (PPP) infrastructure projects in Vietnam. Nine success criteria are identified via a literature review and expert judgments. Then, the fuzzy technique for order of preference by similarity to ideal solution (TOPSIS) method is applied to compute the success index and rank three alternatives: Southern (A1), Northern (A2), and Mekong Delta (A3) regions. Finally, a sensitivity analysis is conducted to examine the certainty and effectiveness of the model. The result indicates that alternative A1 is the best location for investing in the PPP form with a closeness coefficient (CCi) value of 0.555 and a sensitivity ratio of 11/13. This finding obtained using the proposed framework may be a helpful reference for practitioners and investors in selecting a sustainable location for PPP investment in Vietnam as well as other developing countries.