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Article

Identification of Various Execution Modes and Their Respective Risks for Public–Private Partnership (PPP) Infrastructure Projects

1
Faculty of Mechanical Engineering, Department of Industrial & Manufacturing Engineering, University of Engineering & Technology, Lahore 54890, Pakistan
2
Faculty of Civil Engineering, Department of Architectural Engineering and Design, University of Engineering & Technology, Lahore 54890, Pakistan
3
Faculty of Management Sciences, University of Central Punjab, Lahore 54782, Pakistan
*
Author to whom correspondence should be addressed.
Buildings 2023, 13(8), 1889; https://doi.org/10.3390/buildings13081889
Submission received: 17 May 2023 / Revised: 28 June 2023 / Accepted: 23 July 2023 / Published: 25 July 2023

Abstract

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The public–private partnership (PPP) based model for the execution of infrastructure projects originated from Anglo-Saxon countries and was initially used in 1977 by the United Kingdom (U.K). Since then, its popularity has increased worldwide. Earlier studies by researchers and many other professional sectors and departments have introduced PPP contracts into different execution modes like Build, Operate, and Transfer (BOT); Build, Own, Operate, and Transfer (BOOT); and Build, Lease, and Transfer (BLT), etc. All definitions of PPP contracts are different but have a few common characteristics and risks. Previously, numerous pieces of literature were available on these common risks for various execution modes of PPP contracts. However, each PPP mode still has unique risks that must be identified to understand and successfully implement the PPP projects properly. This paper fills the gap mentioned above and aims to identify various commonly used PPP execution modes in infrastructure projects and their corresponding risks after placing the different PPP execution modes into four (04) different categories. Identified risks for the corresponding PPP categories were also divided into seven (07) stages of the PPP life cycle. Semi-structured interviews were conducted to gather information from thirty-four (34) PPP experts worldwide. Accordingly, interviews are transcribed and processed for thematic analysis in academic NVIVO software. These identified risks are further placed in the respective PPP category for the convenience and better understanding of the study’s outcome to the users and for the subsequent prioritization and allocation of these identified risks accordingly to the PPP parties during the finalization of the PPP execution mode.

1. Introduction

The PPP is a venture between the public and private sectors based on the expertise of each partner to accept the respective risk for the successful execution of the projects traditionally provided by the public sector [1]. The private sector can earn a long-term contractual relationship with the public sector to improve the company’s reputation. In contrast, the public sector can take the monetary benefits and use the exposure to the latest technology through the execution of PPP projects [2].
It is a fact that PPP modalities are used for the execution of infrastructure projects under uncertain environments despite their experience has reached almost at maturity level in the UK and other developed countries like France and Germany, which have now accepted it as a traditional execution method has not produced desirable output of project performance regardless of extreme care taken at early stages of the projects [3]. The PPP-based model originated from Anglo-Saxon countries [4] and was initially used in 1977 by the UK. Since then, its popularity has increased worldwide, and in the current years, it is spreading swiftly in China [5] and other countries in Asia, Africa, and Australia on a large scale [4]. PPP regime has now spread to around 134 developing countries with 15–20% of the total investment cost of infrastructure projects [6]. PPP has now become a vital part of public procurement due to budgetary constraints, deficient technological expertise, less risk acceptability by the public sector organizations, less PPP exposure, untrained human resource, gaps in demand and supply, and political pressure for improving public services projects [7]. The PPP procurement approach is widely used for various sectors of infrastructure projects such as highways, residential colonies, health care facilities, water treatment plants, etc. [8]. Considering the complexity of the PPP procurement approach, it is essential to identify its related risks comprehensively throughout the life cycle of the PPP projects arising from the multiple dimensions [9]. It is also imperative to identify the risks of the respective modality of PPP contracts to properly allocate risks when developing the risk allocation matrix of PPP projects [10].
Earlier studies by researchers and many other professional sectors and departments have introduced PPPs in various execution modes in multiple countries like BLT, BTO, BOT, BOOT, BOO, PFI, BTL, CAO, etc. [11,12,13], wherein all definitions are different but have few standard features [12]. For example, in BTL, the private sector builds the infrastructure facilities, the ownership is transferred to the public sector after the completion of the project, and rights of operation of that infrastructure facility are given to the public sector. In the BTO contract, the private sector quotes the operations charges to recoup its cost from user levy charges. Both Build and Transfer are the same in these modes, but the infrastructure facilities are leased to the public sector by the BTL private sector. In such cases, the public sector pays the lease amount and the operational cost to the Concessionaire. BTL mode is usually employed for non-profit works or services such as sewer, housing infrastructure, and other dormitories [13].
A risk is an unanticipated event or state that, if triggered, has positive or negative consequences on one of the project objectives, which can be termed as opportunities or threats, respectively [14]. Famous tools and techniques used to identify risks are interviews, meetings, brainstorming, SWOT analysis, checklist items, and meetings. PPPs are more vulnerable in terms of uncertain events happening and carry various and critical risks as compared to the traditional types of public contracts, including outsourcing services and works [5]. The objectives of the study are to identify the various execution modes of PPP infrastructure projects and their corresponding risks pertaining to the respective categorized PPP execution modalities.

2. Literature Survey

The Transaction Cost Theory [15] best explains private partnerships in PPP infrastructure projects. The theory is related to the degree of risks the private party accepts depending on the future benefits and privileges in return for taking risks. Moreover, Agent Theory or Principal-Agent theory [6] also describes that the public sector must establish an environment that not only corrects the moral hazard related to the prospective private partner but also provide a conducive and attractive environment for the private partner.
In the last twenty (20) years, the research interest of scholars has increased in the PPP domain, especially in European countries [16]. The growth of PPP and its role in various projects is not a fresh concept, but it is experiencing renewed curiosity in the study of PPP as a tool for better development planning. Outstanding public debt and financial constraints are placing pressure on the state and governments around the globe for the participation of the private sector in various socio-economic development programs [17]. Moreover, it rearranges services related to the public sector by considering private sector worth and good practices to achieve better project performance than traditional procurement methods of delivering public services [18]. Current studies locate PPP as a partnership of cooperation and contractual obligation among the state, government, and private sector to share risks, opportunities, and costs to accomplish some responsibilities and activities to accomplish a collective objective [19] as described in Transaction Cost Theory above.
Different stakeholders involved in any project under PPP procurement modes have different perceptions regarding risk assessment. As a result, disagreements may arise among stakeholders that affect the project performance [20]. Thus risk identification, followed by its allocation, is an ambiguous task [21]. Moreover, stakeholder relationship leads to a viable long-term method for improving social linkages, enlightening the value of public means, and creating a better use of taxpayer collection [20]. Intensive efforts have been placed on the improvement of ways by which the public and private sectors can strengthen corporations to provide goods and services traditionally provided previously by the public sector only. The different perceptions of the stakeholders may produce the best and fair results; that is, the outcome that reduces the possibility of bad performance [21]. The reviewed literature on different forms of PPP projects shows that most of the studies are conducted on PPP infrastructure projects. The title of most of the studies belongs to critical success factors of PPP, risk related to PPP, and the BOT tendering process for bringing value for money [22].
Every PPP agreement is differently structured, and therefore the type of risks are different for each stakeholder due to the diversity in each PPP modality [23]. Assessing all risks is key for proper project management at various stages of the project life cycle period [24]. This leads to suitable risk allocation and sharing, which is inevitable for negotiation [5] and brings transparency, fairness, and value for money to PPP projects [25]. Inconsistency in risk assessment and management is one of the barriers to the successful execution of the PPP project [26]. Lack of readiness to accept risk by either of the stakeholders delays the project [23]. Risk aversion by the stakeholders during the entire life cycle of the PPP projects due to the improper risk allocation in PPP projects was highlighted in past studies [27].
World Bank manages a facility for technical support that is known as Public–Private Infrastructure Advisory Facility (PPIAF) [13]. It summarizes the modes and types of PPP in accordance with the main attributes and characteristics of various definitions of PPP, as shown in Figure 1 PPIAF (2012, May) [28]. In this figure, PPP modalities in existing assets are surrounded by concession, operations and maintenance, management, and service contracts. PPP modalities are surrounded by BOOT, BTO, and turnkey contracts.
The BOT execution mode of PPP is widely and commonly used in the world, especially for greenfield projects [29]. Economic theorists consider this model as the conical form of PPP infrastructure projects due to its greatest attraction and theoretical interest [30]. BOT type of PPP modality has a positive impact on the growth of the countries and is commonly used where the public sector lacks the resources to build large-scale infrastructure facilities [31]. BOT is a contractual type whereby the private sector arranges the financing and undertakes the construction of infrastructure facilities and the operation and maintenance thereof. The private sector operates the facilities over a fixed period of time during which it is permitted to collect from the users of that project facilities in terms of appropriate tariffs, fees, levies, tolls, rentals, or charges, as agreed in the bid not exceeding those proposed rates of the bid [32] described in the agent cost theory above. The private sector then transfers the facilities to the public sector at the contract ends. BOT (Toll), BOT (annuity), DBFOT, hybrid BOT mode (toll + grant) [33], DOT, ROT, and BOR execution modes are almost similar, with slight variations in concession agreements. In BOR, the private sector has the right to make a request to negotiate for the revision of the concession at the end of the term [32]. DBFOT mode also includes the investment of private sectors to construct, design, finance, operation, and maintenance of a venture for public usage for a certain period of time and then transfer the facilities to the public sector after the expiry of the ownership period. The Concessionaire is able to collect the revenues or user levy from the facility users. The private entity collects the fee from the users as quoted in the bid submission stage. The expectations of the private sector are to collect sufficient revenues to recoup its investment in the project [34]. A similar PPP mode DBFO with no transfer phase is more efficient in terms of cost and time for PPP infrastructure projects [35]. Notable examples of projects executed on BOT or DBFOT mode in Pakistan are the Lahore Ring Road (Southern Loop) project and the Lahore–Sheikhupura–Faisalabad Dual Carriageway [36]. In order to address the failure of demand forecast, attract investors and promote privatization and investment by the private sector, BTO (risk sharing) and BTO (adjusted) modes were introduced and adopted by the Korean Government for the construction and rehabilitation of railway-related projects. Both public and private sectors share the revenues and operating costs in the BTO-rs mode of PPP infrastructure projects [13]. However, in BTO (Adjusted), the risk sharing in revenue loss is adjusted as agreed by the parties [37]. AP-PPP also falls under the BTO-PPP types of contracts [38]. One of the types or modalities of PPP contracts is the present value of revenues contract (PVR), which is an example of a flexible contract in order to minimize the demand risks of the revenues [39]. Flexibility in contracts provides various options for the public and private sectors to compensate for the risks in accordance with the concession agreement. A minimum revenue guarantee, which is also termed a minimum income guarantee or minimum demand guarantee, could be a possible inclusion in the agreement. The public sector shares the demand risk partially in infrastructure projects [13].
In the Republic of Korea, the PPP procurement types are based on whether the project facilities are to transfer back to the public sector or not on the completion of facilities of PPP projects. The foremost type is also called the revertible type, which includes BOT, BLT, BT, BTO, etc., and the other is called the non-revertible type, which includes BOO, DBFO, etc. On the basis of the collection of user fees, PPP infrastructure projects are categorized as whether to collect directly from the users or through operations and management rights, i.e., BTO, or from ownership rights, i.e., BOOT, BOO, etc. [37]. The BOO execution model is akin to complete privatization, and the private sector has no obligation to transfer the project facility assets to the public sector [29]. This execution modality is used when the private sector wants to keep ownership of the assets even after the contract ends [29]. One of the disadvantages of this mode is that the private sector uses the project’s public facility throughout its life period. The public sector should create an interface between the old and new operators of the venture by making sure that the new party takes care of the system’s features and that personnel are well-trained [40]. Some notable examples of projects executed in BOO mode are the Shuweihat-2 Power and Desalination Plant, United Arab Emirates, and the Manila Water Supply and Sewerage System, Philippines. BOOT mode is also similar to BOO PPP mode, with the responsibility that the infrastructure facility is transferred back to the public sector after the pre-determined concession period [41]. BOOT is a significant PPP execution mode for the development growth of infrastructure projects. This modality is now being practiced in many developed and developing countries like Australia, the USA, Canada, the UK, India, the Philippines, Malaysia, etc. [42]. Notable examples of executed projects in BOOT mode include the Sydney Airport Link in Australia [42].
BLO execution mode includes that facility ownership remains with the private party who leases the facility to the public sector for a longer period of time without any transfer of assets responsibility. The public sector is responsible for the operations and maintenance, renewal, and replacement of assets and gives attention to maintaining the interface between the construction phase and the operation phase [40]. A few notable examples of projects executed in BLO mode are the Mount Signal Solar Project in the United States and the Delhi International Airport in India. In the BLT execution mode, the private sector leases the completed facility to the public sector or others for a concession period until it recovers its investment before transferring the facility owner to the public sector [43]. Moreover, the Concessionaire finances builds and maintains the project for a predefined period and leases the assets to the public sector for fixed revenue payment and rental payment of these assets [44].
In the LOT execution mode of PPP, the existing infrastructure facility is for efficient operation to the private sector for a certain period of time. After the completion of the predefined concession period, the facility is transferred back to the public sector [41]. Transfer–Operate–Transfer (TOT) is a PPP mode that is suitable for brownfield projects, and the facility is transferred to the public sector after the contract ends [29]. Other renowned PPP execution modalities are the SC, the MC, and outsourcing-like contracts wherein the ownerships lie with the public sector and investment responsibilities lie with the private sector. Management contracts have a slightly longer duration than service contracts [33]. Sewage treatment plants in China are mainly operated through the PPP modalities, which include BOT, BOO, ROT, OM, TOT, BOT + TOT, and others. BOT is selected for most of the cases, up to 83.7 percent of total sewage treatment projects in China [2].
In the BOLT execution mode, the private party builds and expectedly designs the infrastructure project and leases the facility to the public sector. After the end of the concession period, the facilities are returned back to the public sector. Most of the PPP modalities are suitable for transportation projects with revenue collection, but this mode is equally suitable for other social projects [41]. BLOT and BLMT execution modes of PPP are similar, with a slight difference in terms of operational responsibility in the first case and maintenance responsibilities in the second case lying with the private sector over the concession period [2]. Quite a few infrastructure projects have been executed in China on these modes since the inception of the PPP regime in the country [45].
In the Philippines, BOT law exists, which includes various PPP modalities, including BT, CAO, DOT, and ROT execution modes [37]. BT is a PPP execution mode whereby the private sector arranges finances and undertakes the construction of the infrastructure project facilities and, after its successful completion, transfers back to the public sector. The public sector maintains, operates, and recovers the investment cost from the users as per the agreed schedule. Operations and maintenance phase risks lie with the public sector due to security or strategic reasons. Whereas, in BT + LUF, the public sector recovers the finances of the project through land use by real estate developers [46]. Moreover, DBB is the PPP execution mode whereby the public sector retains a designer to deliver the whole design part and, after then, publishes an advertisement for the award of construction works separately, keeping in view the completed bidding construction documents of the designer. DB, DBO, DBOM, and DBOFM are akin with slight variations in the contractual arrangements [47]. Various projects around the world are executed on DBOFM mode, and notable examples include the Hong Kong–Zhuhai–Macau Bridge and the Tappan Zee Bridge Replacement Project in New York. CAO is a PPP modality with a contractual arrangement wherein the Private sector develops and expands existing infrastructure facilities leased by the public sector. The private sector operates the developed facility and collects the user charges to recover his investment cost over the agreed period. Transfer facilities may or may not be linked with this type of PPP modality by the private sector [11].
Apart from the previously mentioned PPP execution modalities, BBO and DBL modes also exist for the execution of PPP projects in Indonesia and other countries but are very uncommon. The assets are built and acquired by the private party for effective management in this particular PPP mode for infrastructure projects [37]. The extent of public and private participation in various PPP types of agreement is described in the Figure 2 below.
Moreover, most of the time is consumed for contract negotiation in PPP/PFI projects due to the uncertainty in the proper identification of risk at the initial stages, which ultimately drives the prospective bidders to quote expensive bids [25]. Researchers identified the critical success factors for PPP projects, including stable macroeconomic variables, responsibility sharing among stakeholders of the project, a stable environment politically and socially, transparency and efficiency in the procurement process, and judicious government control [48]. PPP projects normally follow the base case scenario at the time of the award of the contract, and to make it flexible, overwrite clauses in the contract agreement are included to cope with volatility in the macroeconomic variables. For dealing with such risks, the government retains most of the risks and explores different forms of PPP agreement, simulating different possibilities by the public departments to extract the risk threshold values for retaining risks. The surplus revenue generated through the approach of a flexible contract is retained with the Concessionaire, but the handsome contribution also goes to the public entity [49]. Researchers also report the results of a comparative analysis of the preference for risks in PPP projects [50]. It is broadly acknowledged that risk assessment is fundamentally required for the successful execution of PPP projects [9]. At the early stages of the PPP procurement process, public clients present the identified risk to the private party for bidding purposes, and during negotiations, these risks are allocated to the party best suitable to manage the risks [25].

3. Research Methodology

Research methodology is a source of guidance for researchers to conduct research from start to end [51]. Qualitative type interviews followed by an extensive literature review and desktop data were conducted in order to fill the gap of deficiency in the existing literature [3]. Semi-structured formats for in-depth exploratory research were developed for the identification of various modes and respective risks of PPP infrastructure projects because the goal was not to generalize the results of the study but to explore from the thorough participation of the respondents [52]. Initially, the questionnaire was distributed to the respondents, which was revised from interview to interview, considering their suggestions for improvement from the informants [53]. Open and close-ended questions were asked in the questionnaire to give the liberty to the informants beyond the protocols as mentioned in Appendix A of the study to establish related useful additional information [54].
Most of the questions were from the interview protocol; however, additional questions were also asked from the interviewee for the sake of obtaining extra information. The current study includes the representation of informants from all over the world. Most of the respondents are from public, private, or advisory sectors, as shown in Figure 1. The list of informants has fifty (50) people. Hard and soft copies of the questionnaire were sent to them at their official addresses, email addresses, or through other electronic means. Forty (40) people responded to the questionnaire and agreed to give interviews to share their perspectives regarding the identification of various PPP modes and respective risks. Interviews are conducted in their offices, and some of them agreed to record their interviews after their consent on the Zoom meeting link. According to [55], the data saturation was completed with 30 informants. However, four more interviews were added to the study to ensure that any further information could be added to the study. Thirty-four (34) informants included twenty-five (25) male and nine (09) female PPP experts. Interviews were conducted with the personnel of various organizations, which include the public and private sectors, the Independent consultants and advisors, and the Concessionaire (SPV) organizations, as shown in Figure 3 below.
The top-level experts and the middle-level experts from various organizations were approached through various references telephonically, zoom meetings, or meeting at their places for the interview purposes, with the range of their experiences varying from five (05) years to twenty-five (25) years, as shown in Figure 4 below.
The educational background of the respondents is shown in Figure 5 below. The duration of the interview was thirty (30) to forty-five (45) mins depending upon the satisfaction of the researchers.
The research methodology is shown in the following Figure 6.
Six steps of thematic analysis [56] were performed for the identification of PPP modes and their respective risks. These steps are data familiarization, generation of the primary theme, searching of theme, reviewing of themes, naming of themes, and result generation. The coding method was used both for deductive and inductive reasoning, and the former started with a basic structure for coding.
It was performed through the NVIVO academic software, which allows for performing analysis of unstructured and qualitative data. It is also helpful for classification and rearranging the data for the users. Parent codes were created by the authors on the basis of four (04) categorizations of PPP infrastructure projects, i.e., the DBFOT-BOT type of PPP contracts, the lease–affermage BLT type of PPP contracts, ownership-BOOT type of PPP contracts, and the services, operations, and maintenance type of PPP contracts. Child nodes are grouped with mode “name”. Child nodes were further divided into their respective risks identified by the interviewees after reviewing the transcribed data and labeling the codes with the names mentioned by the practitioners. The overall coding exercise in NVIVO is shown in Figure 7.

4. Research Results and Discussion

The study identifies the various execution modes of PPP infrastructure projects adopted around the world and also the identification of associated risks of these PPP modalities. Subsequently, interview data were gathered in the form of partial audio recordings after soliciting the consent of the respondents and partially from the interview notes taken from the informant’s interviews in their offices or places. Data analysis was performed on NVIVO academic software, and developed the parent codes and child codes, as mentioned in Figure 7 above. NVIVO created the overall coding for the transcribed data, a purview of it as under;
Figure 8 shows the overall coverage of PPP modes and their respective risks by the respondents on the basis of data collected for the study. The data taken from the previous literature were also discussed with the respondents, and the concept of each perspective was supported accordingly. The world cloud shown in Figure 9 highlights the importance of each identified factor according to the perspective of the experienced personnel.
Figure 10 shows the analysis of the first category, i.e., DBFOT-BOT type PPP contracts, which include BOT or DBFOT; both modes are akin with different nomenclature according to most of the researchers, BT, BTO, DOT, DBOFT, CAO, TOT, and ROT. Most of the respondents talk about the BOT or DBFOT mode in this category along with their respective risks, which shows the importance of the BOT modality in the construction and execution of infrastructure projects around the world, especially in tolled roads and highway projects. The importance of mode under this category can be seen in Figure 10 [44]. Phang categorized the PPP risks related to infrastructure projects into the planning, design, and feasibility risks; the financial risks; the legal and procurement risks; the construction and execution risks; the operations and maintenance risks; the general and project environment risks; and the completion and transfer of assets risks. In the BOT mode of construction, the importance of the general and transfer of assets risk, the financial risks, the construction and execution risks, and the design and feasibility risks is highlighted in the following hierarchy chart.
Broadly, two types of PPP road infrastructure projects are known as greenfield and brownfield projects. New construction, building, and developing a project is placed in greenfield type of projects, whereas rehabilitation, renovation, restoration, or upgradation of existing infrastructure facilities comes under brownfield or grey-field types of PPP projects. The earlier one is also expressed as Private Finance Initiative (PFI) in the UK, and the latter one is also termed the integrated PPP approach [57]. BOT with availability-based payment is usually conducted in social types of infrastructure projects. BT is a PPP execution mode where the public sector has two assets where either of the assets is capable of earning revenue, and the other is not. The mode of payment is managed through annuity-based or availability payments [33].
The provision of drinkable water from sea water in Saudi Arabia is being planned, where the public sector provides the annuity to the Concessionaire for recoupment of his investment in the project. Developing countries with no PPP experience have inherent risks attached to them due to a lack of experience/talent and limited competency and resources to undergo PPP projects, which vary from country to country [58]. The inherent risk, the poor cost estimation risk, the unproven engineering techniques risk, the soil contamination risk, the poor geotechnical investigation risk, and land availability or acquisition risk are significant risks coded under the planning, design, and feasibility risks NVIVO code.
Cost estimation risk in greenfield projects is a prevalent risk. Huge differences in cost estimation at the feasibility stage of the project and at the completion stage of the project can be faced due to this risk in different PPP projects around the world. Poor geotechnical investigation is one of the reasons for inaccurate cost estimation [59]. A similar kind of risk in the shape of soil contamination was faced in one of the PPP infrastructure projects in Australia, where poor estimation added around 15% extra to the cost of the project. The contractor blamed the public sector, and vice versa, and the matter went to court. Consequently, stoppage of work was an option for private entities on that specific portion of work until the time of its resolution amicably. The extra cost was divided between the three parties by the court, and the executor bore the most part of the cost because the whole project was to be managed for a longer duration. In comparison, the design and estimation of infrastructure project is usually available for brownfield ROT types of infrastructure projects. There will be more Brownfield ROT types of PPP infrastructure projects in the future due to the deteriorated conditions of the roads and other infrastructure facilities [60].
A few significant risks related to legal and procurement risks include the insolvency of the concession company, the provision of encumbrance-free land risk, the condition precedents risks, the change in law risks, the regulatory risks, the ownership risks, and the imports and supply chain risks.
Figure 11 highlights the PPP modalities and their risks under the lease–affermage BLT type of PPP contracts. BLT, BOLT, BLOT, BTL, BLMT, BLO, DBLOT, and LOT are the PPP modalities placed under this category. The importance of each execution mode with respect o the responses of the respondents can be seen in Figure 11. In BLT mode, the Concessionaire builds and constructs the project assets and hands them over or leases them to the public sector for the recoupment of investments of the investors of the project [43]. BLOT and BLMT are alike modalities of PPP with a slight difference in the shape of separate responsibilities, i.e., the management responsibility or the responsibility of the operations, or both. For example, in the development and construction of an industrial estate, Concessionaire builds the infrastructure and leases out the residential and commercial plots to the public sector for a certain period of time, whereas the operations and maintenance responsibilities shall remain with the private sector.
Another major risk in PPP infrastructure projects is the availability of finance. Most of the projects failed due to this risk because, at the stage of feasibility study/initial stage, this risk is not fully assessed by the stakeholders. Another potential risk is price escalation risk, which triggers the commonly known cost overrun risk, especially in developing countries. As the said risk is covered in the traditional types of contracts, therefore it should be covered in PPP greenfield projects by considering its severity and multifold consequences [57]. At present, there is an unprecedented price hike and currency devaluation, and ultimately, it is the responsibility of the Concessionaire to take the burden of these risks during execution. The compounding effect of these parameters is too much. Inflation risk and foreign exchange risk are also major risks in the current scenario of the world’s economy and should be properly addressed at the time of developing the transaction structure of PPP infrastructure projects. Foreign currency exchange-type risks are predominantly seen in independent power producer (IPP) contracts. Developing countries are facing balance payment crises, and they have to go to the international monetary Fund (IMF); therefore, the private sector is receiving delayed payments, but in the end, they are unable to obtain foreign exchange from the market and unable to provide the dividends to the shareholders. Interest rate risk is available in all types of PPP modalities. Few transactions of PPP are available where the government can take up this risk, but in developing countries, it is unheard of where the government can take up this particular risk. After achieving financial close, the public sector leaves you with your buyers or other stakeholders. But, this is not the case in developed countries of the world. The importance of revenue loss risk, demand risk, tariff risk, commitments with financial institutes, and financial close risk cannot be ignored [50]. The competing routes risks and the force majeure risks cannot be ignored during the current COVID-19 pandemic period. Construction materials and prices of other goods have increased too much due to COVID-19; the global supply chain has been disturbed, which had severe effects on the PPP projects, where the countries are dependent a lot on imports. All these risks are placed under the financial risk NVIVO code.
A few typical risks specifically belonging to the lease–affermage BLT type of PPP contract category are explored by the practitioners the tenant/lease risks, the revenue shortfall risk, the property-related risk, and the market risks. Some of these risks are a new addition to the existing literature. However, the existing literature does not bifurcate these typical risks for this category, which create difficulty for the executors to properly identify and allocation of these risks to the concerned stakeholders.
Figure 12 elaborates on the PPP modalities and their respective risks of the ownership-BOOT type of PPP contracts. This category includes BOO, BOOT, DBO, DB, DOO, and DBOOT PPP modalities. The importance of each execution mode with respect to the responses of the respondents can be seen in Figure 12.
PPP modality wherein ownership of assets belong to the private party, i.e., BOOT types of projects, risks related to land acquisition can be easily managed by the public sector because the ownership responsibility is shifted to the private sector [37]. Also, BOOT is popular in the power sector because technology related to the power sector obsoletes, especially in a long concession period, i.e., 25 years; therefore, the public sector does not want to take ownership of assets being useless after the concession period. Asset management risks due to lack of research and development in PPP projects, depreciation risks, residual value risks, obsolescence risks, disposal risks, maintenance risks, interconnectivity with other roads, and partnership risks are typical examples of risks pertaining to ownership-BOOT type of PPP contracts.
Thus, the completion and asset transfer risks phase have more coverage in this particular category, as shown in Figure 12 above, which includes the asset maintenance risks, market demand risks, residual value of asset risks, obsolescence of asset risks, transfer of assets risks, ground condition, the conditional survey of assets risks, and the ownership of assets risks. After general and asset transfer risks, the construction and execution risks have more coverage, as shown in the above figure. This section includes vital risks like construction disputes and strike risks, construction cost overrun risks, quality risks, availability of manpower and material risks, site availability risks, schedule risks, shifting of utility risks, and scope creep risks. Corruption risks, regime change risks, political risks, environmental permit risks, lack of R&D in PPP, and ground and weather conditions are significant risk factors of the general and environmental risks phase of PPP projects.
The last category of PPP modalities is the services and the O&M type of PPP contracts, which includes the O&M contracts, the management contracts, and the services contracts. In the service and the O&M type of PPP contracts, the private sector accepts the payment risk. Real estate developers, hospitals, and educational institutes are examples of the services and the O&M type of PPP contracts. Operations and maintenance risks have high weightage in this category, including performance risks; the operator’s default risks, the low operating productivity risks, the low operational quality risks, and the operational cost overrun risks are prominent risks.
The deductive coding of the data was further assessed inductively by the researchers. It was found that BOT or DBFOT, BOOT, BLT, BT, BOLT, BOO, and the BOOT modalities are the most commonly used modalities around the world for the execution of the PPP projects, but BOT or DBFOT mode has a huge contribution for the execution of PPP projects around the world, especially in tolled roads and highways related infrastructure PPP projects. This is quite clear in the following Figure 13, where the NVIVO nodes are shown horizontally, and the percentage coverage of their corresponding transcribed data is shown vertically.
Finally, the identified PPP modalities for the execution of infrastructure projects were categorized, and the risks were identified along with their definitions for the respective categories summarized in Appendix B of the study and developed risk register by using both primary and secondary data [61,62]. The public sector offers a minimum demand guarantee (MDG) and minimum revenue guarantee (MRG) to attract private investment in PPP projects to cater to most of the risks in the risk register of Appendix B [63,64,65,66,67,68,69,70]. Moreover, a suitable Concessionaire for efficient project delivery is also an essential aspect of coping with these risks [18]. Due to the evolution in PPP, a slight shift from the traditional approach of PPP in the shape of revenue-based payments like BOT to availability-based payments like DBFM is also being used for the procurement of infrastructure PPP projects [51].

5. Conclusions

The basic purpose of the study was to identify the various execution modes of PPP infrastructure projects and categorization of similar PPP modalities for a better understanding of the identification of risks to the respective categories. Various PPP modes were identified, and prominent modes of each category were extracted through thematic analysis on NVIVO software. BOT modality is a very commonly used mode around the world, especially in tolled roads and highways PPP projects, followed by BLT, BOOT, and O&M PPP contracts. On the basis of the difference in the arrangement of the PPP structure of these modes, the corresponding risks are also different, and the significance of each risk varies from mode to mode. This study concluded the desired results through a thematic analysis of NVIVO software and highlighted the importance and risks for each category. Four (04) categories are developed, and various modes of PPP infrastructure projects like BOT, DBFOT, BTO, BT, CAO, ROT, TOT, DBOFT, and DOT are placed under BOT-DBFOT type of PPP contracts. BLT, DBLOT, LOT, BLO, BLOT, BOLT, and BLMT are placed under lease–affermage BLT type of PPP contracts. BOOT, BOO, DBO, DOO, and ROOT are placed under the ownership-BOOT type of PPP contracts. O&M, the services, and the management contracts are placed under the services and the O&M type of PPP contracts. The respective risks of these categories are identified through literature review and data gathering approaches and placed in seven (07) stages of the PPP projects life cycle as the planning, design, and feasibility risks; the financial risks; the legal and procurement risks; the construction and execution risks; the operations and maintenance risks; the project environment risks; and the general and transfer of assets risks, except for the last category.
Previously, identified risks were not categorized in this way, and thus confusion remains there for the readers to identify and subsequently prioritize and allocate the risks to the stakeholders on the basis of risk significance, which varies from one PPP modality to another. For example, the significance of the transfer of assets risks, revenue risks, asset obsolescence, market demand risks, and productivity risks varies in BOT, BLT, BOOT, and O&M contracts. The comparison of which was made in the NVIVO hierarchy charts above. A few typical risks that specifically belong to the lease–affermage BLT type of PPP contract category are tenant/lease risks, the revenue shortfall risk, the property-related risk, and market risks. Similarly, asset management risks due to lack of research and development in PPP projects, depreciation risks, residual value risks, obsolescence risks, disposal risks, maintenance risks, interconnectivity with other roads risks, and partnership risks are typical examples of risks pertaining to the ownership-BOOT type of PPP contracts.
The corruption risks, the political risks, and the regime change risks are the biggest threat to all types of PPP projects in developing countries and also have considerable impacts in developed countries. Researchers can prioritize the identified risks for their subsequent better allocation during the finalization of the PPP execution modality for all four categories to assess how the priority of risks changes in each category. Due to a large number of PPP execution modalities opted for the PPP infrastructure projects, it is difficult to find experts worldwide with hands-on experience in each modality, which was the limitation of the study. Therefore, these execution modalities are categorized into four (04) different categories.

Author Contributions

Study conceptualization, M.A., N.A.M., S.M., M.Q.S., S.Z. and S.U.; methodology of Study, M.A., N.A.M., S.M., S.U. and S.Z.; software availability, M.A., N.A.M., S.U. and S.Z.; validation of data, N.A.M., S.M., M.Q.S. and S.U.; formal analysis, M.A., N.A.M., S.M., M.Q.S., S.Z. and S.U.; investigation, M.A. and S.U.; resources, M.A., N.A.M., S.M. and M.Q.S.; data curation, M.A.; writing—original draft preparation, M.A.; writing—review and editing, M.A., N.A.M., S.M., M.Q.S., S.Z. and S.U.; supervision, N.A.M., S.M., M.Q.S. and S.U.; project administration, M.A., N.A.M., S.M., M.Q.S. and S.U. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Data Availability Statement

Data can be available on request due to privacy or ethical aspects. The data collected and used for the study purposes are available on request from the author but not available publically due to privacy and ethical related issues of respondents.

Acknowledgments

The authors acknowledge the efforts of all respondents and informants on their valuable input.

Conflicts of Interest

The authors declair no conflict of interest.

Abbreviations

PPPPublic–Private PartnershipPFIPrivate Finance Initiative
BOTBuild, Operate, and TransferBBOBuild–Buy–Operate
BTOBuild, Transfer, and OperateROTRehabilitate/Renovate, Operate, and Transfer
DBOMDesign, Build, Operate, and MaintainBLOTBuild, Lease, Operate, and Transfer
DBFOTDesign, Build, Finance, Operate, and TransferBOOBuild–Own–operate
DBFOMDesign, Build, Finance, Operate, and MaintainBOOTBuild, Own, Operate, and Transfer
DBOODesign, Build, Own, and OperateBOOMBuild, Own, Operate, and Maintain
DCMFDesign, Construct, Manage, and FinanceROOTRehabilitate, Own, Operate, and Transfer
O&MOperations and MaintenanceDOTDevelop, Operate, and Transfer
DBODesign–Build–OwnSCService Contract
BLTBuild, Lease, and TransferMCManagement Contract
BOOTTBuild, Own, Operate, Train, and TransferBOLTBuild, Own, Lease, and Transfer
CAOContract, Add, and OperateSWOTStrength, Weakness, Opportunity, Threat
PPIAFPublic Private Infrastructure Advisory FacilityDBOFTDesign, Build, Operate, Finance, and Transfer
TOTTransfer–Operate–TransferLOTLease, Operate, and Transfer
DOOTDevelop, Own, Operate, and TransferDBBDesign, Bid, and Build
BLOBuild, Lease, and OwnLUFLand Use Fee
BTBuild–TransferBORBuild, Operate, and Renewal
APAvailability PaymentPVRPresent Value of Revenues
BLMTBuild, Lease, Maintain, and Transfer DBDesign–Build
DBFMDesign, Build, Finance, and Maintain BBOBuild, Buy, and Operate
DBLDesign, Build, and Lease

Appendix A. Questions Related to the Interview Protocol

First Part (Introduction)
  • Please mention your name, position, education, and experience.
  • Please state the name of your company/organization.
  • What is the type of your organization?
    Contractor/private entity,
    Consultant (public sector)
    Consultant (private sector)
    Financier/sponsor,
    Client/government entity/public sector,
    Concessionaire/special purpose vehicle,
    Independent consultant
    Other (please mention your role)
Second Part
(PPP Modes)
  • How long have you been working on PPP infrastructure projects?
  • What modes of PPP infrastructure projects have you been involved in?
  • What other PPP modalities do you know in addition to the modalities mentioned in the above question?
Third Part
(Associated risks)
  • What are the major associated risks you have come across on various PPP modes?
  • What other critical risks on PPP infrastructure projects do you want to mention?

Appendix B. Identified Risks in Four (04) Different Categories along with Definitions

RisksPPP Modalities
DBFOT/BOT Type PPP ContractsLease/Affermage/BLT Type PPP ContractsOwnership/BOOT Type PPP ContractsThe Services and the O&M Type PPP Contracts
(a)Planning, design, and feasibility risksEfficiency enhancement
1Improper design and technical study
Definition: Poor design team responsible for carrying out the technical studies
Unavailability of Investor
2Land acquisition and compensation
Definition: Difficulties faced by both client and consultant regarding route alignment for land acquisition and subsequently stay orders from the owners of the land during the compensation phase
Productivity Risks
3Required initial approvals for a feasibility study
Definition: Unnecessary delay in approvals from the concerned agencies at the initial stages of the project
Social Challenges
4Improper preliminary survey
Definition: Poor survey team responsible for reconnaissance survey
Reputation Risks
5Inherent risks to conceiving PPP projects
Definition: Incompetency or lack of experience in adopting the PPP modality, especially in developing countries
Performance Risk
6Multilateral agencies and stakeholders’ involvement
Definition: PPPs have many stakeholders and agencies as compared to the traditional approach of executing projects
7Poor cost estimation
Definition: Poor quantification of project items, including soil contamination and other construction items at the time of the planning stage
(b)Financial risks
8Macroeconomic variables
Definition: This includes inflation, GDP, Government fiscal policies, national income, international trade, and interest rate, etc.
9Availability of finance
Definition: Adequate funds are available to the contractor during the construction of the PPP project phase
10Fulfillment of commitments with financial institutes
Definition: This includes debt repayment to the financial institutes in an efficient manner as committed during financial closure
11Revenue shortfall
Definition: Shortfall in revenues, user levies, and availability-based payments
12Financial rate of returns on investment
Definition: Internal rate of return (IRR), return on investment (ROI), payback period, and net present value (NPV), etc., are the indicator of the risk.
13Financial insolvency of the host government
Definition: The host government could not remain financially stable and became bank corrupt
(c)Legal and procurement risks
14 Ownership of assets
Definition: Concessionaire is fully responsible for projects assets
15Change in Law
Definition: Post-bid changes in any existing law by the government that affects any of the project objectives
16Insolvency of the public or private sector
Definition: Insolvency of either public or private sector
17Third-party reliability
Definition: Any unexpected disagreement arising from the third party regarding the fulfillment of contractual obligations
18Institutional nature arrangement
Definition: Poor institutional nature arrangement for execution of PPP Projects
19Encumbrances of land
Definition: Illegal encumbrances cause litigation and invoke legal repercussions
20Legally weak partnership or strategic alliance
Definition: PPPs are all about partnerships between the public and private sectors, which should be legally and contractually strong for durable intra-consortium counterparty
21Inefficient procurement process
Definition: The procurement process should be efficient, economical, effective, and transparent, which brings value for money
22 Tenant risks
Definition: Risks related to the leaseholder for efficient operations
23Lack of flexibility in contracts
Definition: PPPs are complex contractual arrangements; therefore, they should be flexible enough to safeguard the interests of both parties
24 Market demand for assets
Definition: The project’s assets are market-driven for desired revenue collection
25 Legal aspects of the property
Definition: lessor should lease the land to the lessee, which is legally protected against all types of litigations
26 Expropriation
Definition: risks of taking property or assets by the state from the owner
(d)Construction and execution risks
27Poor quality
Definition: Maintaining the desired quality standards on the project during the construction and execution phase
28Unproven engineering techniques
Definition: Using untested technology and inadequate engineering exposure for the construction and execution of the infrastructure projects
29Unforeseen construction cost overruns
Definition: Construction cost overrun resulting from poor planning and measurements of the quantities
30Availability of land for use
Definition: encumbrance free right of way is available for construction
31Scope creep
Definition: extensive change orders during the construction phase
32Inadequate health and safety measures
Definition: Non-adoption of required health and safety requirements as per standards
33Delay in a construction period
Definition: Noncompliance with construction timelines adequately
34Availability of labor and material
Definition: Shortage of resources due to inadequate supply chain management of the organizations
35Protection of geological and historical objects
Definition: Sometimes slight variations are required during the construction phase for the protection of geological and historical objects
36Shifting of utilities
Definition: Shifting of utilities like power lines, gas lines, and other underground cables
(e)Operations and maintenance risks
37Operation and maintenance
Definition: Concessionaire is responsible for the operation and maintenance of the project
Operation and maintenance
Definition: Public sector is responsible for operations, and Concessionaire is responsible for maintenance activities
Operation and maintenance
Definition: Concessionaire is responsible for the operation and maintenance of the project
38Demand and revenue shortfall
Definition: Revenue collection is less than the forecasted demand
40Frequency of maintenance
Definition: Major maintenance involves high cost; therefore, the frequency of maintenance matters
41 The uncertainty in rent prices
Definition: Uncertainty lies with the lessee to cope with the decrease in rent prices
Operational Technology
Operational Efficiency risks
42Toll slippages
Definition: Week operational measures and control
(f)General and project environment risks
43Corruption
Definition: Kickbacks, unjust rewards, and corrupt officials
44Political instability
Definition: Regime change and other political chaos in the country
45Environmental permits
Definition: Permits required from the environmental protection agencies for project approvals
46Ground and weather conditions
Definition: Unexpected or poor ground or weather conditions
47Lack of R&D in the PPP regime
Definition: Poor R&D in the field of PPP domain
48Natural disasters or force majeure events
Definition: The circumstances which are out of the control of any stakeholder reach
49Transfer of technology
Definition: International bidders are the source of the transfer of technology
50Inherent risks
Definition: Limited competencies and experience available for the execution of PPP projects, especially in developing countries
(g)Completion and transfer of assets risks
51Project transfer risks
Definition: Transferring the project assets to the public sector as per requirements
52 Residual value risks
Definition: Unable to transfer the assets in normal working condition
53 Depreciation of asset
Definition: Devaluation of the asset at the time of transferring of assets
54Completion of project
Definition: Non-fulfilment of the contractual requirement regarding the completion of the project
55 Asset obsolescence
Definition: due to long concessions of PPP, the project’s assets or technology may be obsoleted
56 Asset maintenance
Definition: due to ownership of assets, asset maintenance is the prime responsibility of the private sector to properly handover
[42,44,58,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123]

References

  1. Ke, Y.; Wang, S.; Chan, A.P. Risk Misallocation in Public–Private Partnership Projects in China. Int. Public Manag. J. 2013, 4, 438–460. [Google Scholar] [CrossRef]
  2. Hou, X. Can Public–Private Partnership Wastewater Treatment Projects Help Reduce Urban Sewage Disposal? Empirical Evidence from 267 Cities in China. Int. J. Environ. Res. Public Health 2022, 19, 7298. [Google Scholar] [CrossRef]
  3. Liu, J.; Guo, Y.; Martek, I.; Chen, C.; Tian, J. A Phase-Oriented Evaluation Framework for China’s PPP Projects. Eng. Constr. Arch. Manag. 2022, 29, 3737–3753. [Google Scholar] [CrossRef]
  4. Chen, C.; Man, C. Are Good Governance Principles Institutionalised with Policy Transfer? An Examination of Public–Private Partnerships Policy Promotion in China. Aust. J. Soc. Issues 2020, 55, 162–181. [Google Scholar] [CrossRef]
  5. Wang, Y.; Cui, P.; Liu, J. Analysis of the Risk-Sharing Ratio in PPP Projects Based on Government Minimum Revenue Guarantees. Int. J. Proj. Manag. 2018, 36, 899–909. [Google Scholar] [CrossRef]
  6. Fleta-Asín, J.; Muñoz, F. Renewable Energy Public–Private Partnerships in Developing Countries: Determinants of Private Investment. Sustain. Dev. 2021, 29, 653–670. [Google Scholar] [CrossRef]
  7. Chowdhury, A.N.; Chen, P.-H.; Tiong, R.L. Analysing the Structure of Public–Private Partnership Projects Using Network Theory. Constr. Manag. Econ. 2011, 29, 247–260. [Google Scholar] [CrossRef]
  8. Ng, S.T.; Wong, J.M.W.; Wong, K.K.W. A public private people partnerships (P4) process framework for infrastructure development in Hong Kong. Cities 2013, 31, 370–381. [Google Scholar] [CrossRef]
  9. Xu, Y.; Yeung, J.F.; Chan, A.P.; Chan, D.W.; Wang, S.Q.; Ke, Y. Developing a Risk Assessment Model for PPP Projects in China —A Fuzzy Synthetic Evaluation Approach. Autom. Constr. 2010, 19, 929–943. [Google Scholar] [CrossRef]
  10. Du, J.; Wang, W.; Gao, X.; Hu, M.; Jiang, H. Sustainable Operations: A Systematic Operational Performance Evaluation Framework for Public–Private Partnership Transportation Infrastructure Projects. Sustainability 2023, 15, 7951. [Google Scholar] [CrossRef]
  11. Public Private Partnership, Legal Resource Center (PPP LRC). Available online: https://ppp.worldbank.org/public-private-partnership/about-ppplrc-ppp-legal-resource-center (accessed on 3 March 2020).
  12. Dabarera, G.K.M.; Perera, B.A.K.S.; Rodrigo, M.N.N. Suitability of Public-Private-Partnership Procurement Method for Road Projects in Sri Lanka. Built Environ. Proj. Asset Manag. 2019, 9, 199–213. [Google Scholar] [CrossRef]
  13. Lee, J.; Kim, K.; Oh, J. Build-Transfer-Operate with Risk Sharing Approach for Railway Public-Private-Partnership Project in Korea. Asian Transp. Stud. 2022, 8, 100061. [Google Scholar] [CrossRef]
  14. Coll—A Guide to the Project Management Body of Knowledge (PMBOK® Guide)-Project Management Institute (2017).Pdf, n.d.). Available online: https://www.works.gov.bh/English/ourstrategy/Project%20Management/Documents/Other%20PM%20Resources/PMBOKGuideFourthEdition_protected.pdf (accessed on 3 March 2020).
  15. Williamson, O.E. Transaction-Cost Economics: The Governance of Contractual Relations. J. Law Econ. 1979, 22, 233–261. [Google Scholar] [CrossRef]
  16. Tallaki, M.; Bracci, E. Risk Allocation, Transfer and Management in Public–Private Partnership and Private Finance Initiatives: A Systematic Literature Review. Int. J. Public Sect. Manag. 2021, 34, 709–731. [Google Scholar] [CrossRef]
  17. Shankar Nayak, B. Reification and Praxis of Public Private Partnerships in History. Soc. Bus. Rev. 2019, 14, 63–70. [Google Scholar] [CrossRef]
  18. Ameyaw, C.; Adjei-Kumi, T.; Owusu-Manu, D.-G. Exploring Value for Money (VfM) Assessment Methods of Public-Private Partnership Projects in Ghana: A Theoretical Framework. J. Financ. Manag. Prop. Constr. 2015, 20, 268–285. [Google Scholar] [CrossRef]
  19. Panda, D.K. Public Private Partnerships and Value Creation: The Role of Relationship Dynamics. Int. J. Organ. Anal. 2016, 24, 162–183. [Google Scholar] [CrossRef]
  20. Abednego, M.P.; Ogunlana, S.O. Good project governance for proper risk allocation in public–private partnerships in Indonesia. Int. J. Proj. Manag. 2006, 24, 622–634. [Google Scholar] [CrossRef]
  21. Medda, F. A Game Theory Approach for the Allocation of Risks in Transport Public Private Partnerships. Int. J. Proj. Manag. 2007, 25, 213–218. [Google Scholar] [CrossRef]
  22. Cui, C.; Liu, Y.; Hope, A.; Wang, J. Review of studies on the Public–Private Partnerships (PPP) for Infrastructure Projects. Int. J. Proj. Manag. 2018, 36, 773–794. [Google Scholar] [CrossRef]
  23. Alonso-Conde, A.B.; Brown, C.; Rojo-Suarez, J. Public Private Partnerships: Incentives, Risk Transfer and Real Options. Rev. Financ. Econ. 2007, 16, 335–349. [Google Scholar] [CrossRef]
  24. Wang, Y.; Gao, H.O.; Liu, J. Incentive Game of Investor Speculation in PPP Highway Projects Based on the Government Minimum Revenue Guarantee. Transp. Res. Part A Policy Pract. 2019, 125, 20–34. [Google Scholar] [CrossRef]
  25. Bing, L.; Akintoye, A.; Edwards, P.J.; Hardcastle, C. The Allocation of Risk in PPP/PFI Construction Projects in the UK. Int. J. Proj. Manag. 2005, 23, 25–35. [Google Scholar] [CrossRef]
  26. Babatunde, S.O.; Perera, S.; Zhou, L.; Udeaja, C. Barriers to Public Private Partnership Projects in Developing Countries: A Case of Nigeria. Eng. Constr. Archit. Manag. 2015, 22, 669–691. [Google Scholar] [CrossRef]
  27. Wang, H.; Liu, Y.; Xiong, W.; Song, J. The Moderating Role of Governance Environment on the Relationship between Risk Allocation and Private Investment in PPP Markets: Evidence from Developing Countries. Int. J. Proj. Manag. 2019, 37, 117–130. [Google Scholar] [CrossRef]
  28. Public Private Infrastructure Advisory Facility (PPIAF) May. 2012. Available online: https://documents1.worldbank.org/curated/en/144651468335680152/pdf/Public-Private-Infrastructure-Advisory-Facility-PPIAF-annual-report-2012.pdf (accessed on 3 March 2020).
  29. Tan, J.; Zhao, J.Z. The Rise of Public–Private Partnerships in China: An Effective Financing Approach for Infrastructure Investment? Public Adm. Rev. 2019, 79, 514–518. [Google Scholar] [CrossRef]
  30. Batjargal, T.; Zhang, M. Review on the Public-Private Partnership. Manag. Stud. 2022, 10, 597–612. [Google Scholar] [CrossRef]
  31. Hu, Y.; Chiu, Y.; Yen, G.; Ken, Y. Incorporation of the DEMATEL into evaluations of CSR performance in BOT projects. Syst. Res. Behav. Sci. 2022, 40, 266–281. [Google Scholar] [CrossRef]
  32. Algarni, A.M.; Arditi, D.; Polat, G. Build-Operate-Transfer in Infrastructure Projects in the United States. J. Constr. Eng. Manag. 2007, 133, 728–735. [Google Scholar] [CrossRef] [Green Version]
  33. Hakim, S.; Clark, R.M.; Blackstone, E.A. (Eds.) Handbook on Public Private Partnerships in Transportation, Vol II: Roads, Bridges, and Parking. Competitive Government: Public Private Partnerships; Springer International Publishing: Cham, Switzerland, 2022. [Google Scholar]
  34. Akintoye, A. Policy Management and Finance of Public-Private Partnership; Blackwell Publishing Ltd.: Hoboken, NJ, USA, 2008. [Google Scholar] [CrossRef] [Green Version]
  35. Kim, K.; Jung, M.W.; Park, M.; Koh, Y.E.; Kim, J.O. Public-Private Partnership Systems in the Republic of Korea, the Philippines and Indonesia Asian Development Bank ADB Economic Working Paper Series; Korea Development Institute: Sejong-si, Republic of Korea, 2018; pp. 2–17. [CrossRef]
  36. Ahmad, Z.; Mubin, S.; Masood, R.; Ullah, F.; Khalfan, M. Developing a Performance Evaluation Framework for Public Private Partnership Projects. Buildings 2022, 12, 1563. [Google Scholar] [CrossRef]
  37. Kim, K.-S.; Jung, M.-W.; Park, M.-S.; Koh, Y.-E.; Kim, J.-O. Public Private Partnership Systems in the Republic of Korea, the Philippines, and Indonesia; ADB Economics Working Paper Series; Asian Development Bank: Manila, Philippines, 2018. [Google Scholar]
  38. Mladenovic, G.; Queiroz, C. Assessing the Financial Feasibility of Availability Payment PPP Projects. In T&DI Congress 2014; American Society of Civil Engineers: Orlando, FL, USA, 2014; pp. 602–611. [Google Scholar]
  39. Xenidis, Y.; Angelides, D. The Financial Risks in Build-operate-transfer Projects. Constr. Manag. Econ. 2005, 23, 431–441. [Google Scholar] [CrossRef]
  40. Liao, C.-L. Private Participation for Infrastructure Projects. In Construction Congress VI; American Society of Civil Engineers: Orlando, FL, USA, 2000; pp. 857–867. [Google Scholar]
  41. Shukla, N.; Panchal, R.; Shah, N. Built-Own-Lease-Transfer (BOLT): A Public Private Partnership Model That Bridges Gap of Infrastructure in Urban Areas. Int. J. Civ. Eng. Res. 2014, 5, 135–144. [Google Scholar]
  42. Marcus, J.; Gameson, R.; Rowlinson, S. Critical Success Factors of the BOOT Procurement System: Reflections from the Stadium Australia Case Study. Eng. Constr. Archit. Manag. 2002, 9, 352–361. [Google Scholar]
  43. Public-Private Partnership Reference Guide. PPP Referenc eGuide Version31 (worldbank.org). 2020, pp. 17–160. Available online: https://ppp.worldbank.org/public-private-partnership/sites/ppp.worldbank.org/files/documents/PPP%20Reference%20Guide%20Version%203.pdf (accessed on 3 March 2020).
  44. Phang, S.-Y. Urban Rail Transit PPPs: Survey and Risk Assessment of Recent Strategies. Transp. Policy 2007, 14, 214–231. [Google Scholar] [CrossRef]
  45. Huang, Y.; Xu, W.; Li, C. Information Integration Framework for a Public–Private Partnership System of an Urban Railway Transit Project (Part B: An Empirical Application). J. Ind. Inf. Integr. 2022, 25, 100245. [Google Scholar] [CrossRef]
  46. Zhang, W.; Bai, Y.; Huang, Y. Risk Management for Build-Transfer Plus Land Usage Fee Reimbursement Delivery Method in China. In Construction Research Congress 2014; American Society of Civil Engineers: Atlanta, GA, USA, 2014; pp. 1871–1880. [Google Scholar] [CrossRef]
  47. Touran, A.; Gransberg, D.D.; Molenaar, K.R.; Ghavamifar, K. Selection of Project Delivery Method in Transit: Drivers and Objectives. J. Manag. Eng. 2011, 27, 21–27. [Google Scholar] [CrossRef]
  48. Liu, T.; Wang, Y.; Wilkinson, S. Identifying Critical Factors Affecting the Effectiveness And Efficiency of Tendering Processes in Public–Private Partnerships (PPPs): A Comparative Analysis of Australia and China. Int. J. Proj. Manag. 2016, 34, 701–716. [Google Scholar] [CrossRef]
  49. Cruz, C.O.; Marques, R.C. Flexible Contracts to Cope with Uncertainty in Public–Private Partnerships. Int. J. Proj. Manag. 2013, 31, 473–483. [Google Scholar] [CrossRef]
  50. Ke, Y.; Wang, S.; Chan, A.P.; Lam, P.T. Preferred Risk Allocation in China’s Public–Private Partnership (PPP) Projects. Int. J. Proj. Manag. 2010, 28, 482–492. [Google Scholar] [CrossRef]
  51. Rasheed, N.; Shahzad, W.; Khalfan, M.; Rotimi, J.O.B. Risk Identification, Assessment, and Allocation in PPP Projects: A Systematic Review. Buildings 2022, 12, 1109. [Google Scholar] [CrossRef]
  52. Holmes, N.; Lingard, H.; Yesilyurt, Z.; De Munk, F. An Exploratory Study of Meanings of Risk Control for Long Term and Acute Effect Occupational Health and Safety Risks in Small Business Construction Firms. J. Saf. Res. 2000, 30, 251–261. [Google Scholar] [CrossRef]
  53. Sami Ur Rehman, M.; Shafiq, M.T.; Afzal, M. Impact of COVID-19 on Project Performance in the UAE Construction Industry. J. Eng. Des. Technol. 2022, 20, 245–266. [Google Scholar] [CrossRef]
  54. Zheng, X.; Wang, S.; Yang, Y. Determinants of the Severity of Contract Enforcement in Chinese PPP Projects: From Public Sector’s Perspective. J. Environ. Public Health 2022, 2022, 5149478. [Google Scholar] [CrossRef]
  55. Saunders, B.; Sim, J.; Kingstone, T.; Baker, S.; Waterfield, J.; Bartlam, B.; Burroughs, H.; Jinks, C. Saturation in Qualitative Research: Exploring Its Conceptualization and Operationalization. Qual. Quant. 2018, 52, 1893–1907. [Google Scholar] [CrossRef]
  56. Byrne, D. A worked example of Braun and Clarke’s approach to reflexive thematic analysis. Qual. Quant. 2022, 56, 1391–1412. [Google Scholar] [CrossRef]
  57. Stafford, A.; Stapleton, P. The impact of hybridity on PPP governance and related accountability mechanisms: The case of UK education PPPs. Account. Audit. Account. J. 2022, 35, 950–980. [Google Scholar] [CrossRef]
  58. Bao, F.; Martek, I.; Chen, C.; Wu, Q.; Chan, A.P.C. Critical Risks Inherent to the Transfer Phase of Public–Private Partnership Water Projects in China. J. Manag. Eng. 2022, 38, 04022006. [Google Scholar] [CrossRef]
  59. Li, J.; Zou, P.X.W. Fuzzy AHP-Based Risk Assessment Methodology for PPP Projects. J. Constr. Eng. Manag. 2011, 137, 1205–1209. [Google Scholar] [CrossRef]
  60. Ning, L.; Abbasi, K.R.; Hussain, K.; Alvarado, R.; Ramzan, M. Analyzing the Role of Green Innovation and Public-Private Partnerships in Achieving Sustainable Development Goals: A Novel Policy Framework. Environ. Sci. Pollut. Res. 2023, 25, 1–17. [Google Scholar] [CrossRef]
  61. Ke, Y.; Wang, S.; Chan, A.P.; Cheung, E. Understanding the risks in China’s PPP projects: Ranking of their probability and consequence. Eng. Constr. Arch. Manag. 2011, 18, 481–496. [Google Scholar] [CrossRef]
  62. Malek, M.S.; Gundaliya, P.J. Negative factors in implementing public–private partnership in Indian road projects. Int. J. Constr. Manag. 2023, 2, 234–242. [Google Scholar] [CrossRef]
  63. Zhang, W.R.; Wang, S.Q.; Tiong, R.L.K.; Ting, S.K.; Ashley, D. Risk Management of Shanghai’s Privately Financed Yan’an Donglu Tunnels. Eng. Constr. Archit. Manag. 1998, 5, 399–409. [Google Scholar] [CrossRef]
  64. Ullah, S.; Mufti, N.A.; Saleem, M.Q.; Hussain, A.; Lodhi, R.N.; Asad, R. Identification of Factors Affecting Risk Appetite of Organizations in Selection of Mega Construction Projects. Buildings 2021, 12, 2. [Google Scholar] [CrossRef]
  65. Mubin, S.; Ghaffar, A. Bot contracts: Applicability in pakistan for infrastructure development. Pak. J. Eng. Appl. Sci. 2008, 3. Available online: https://www.semanticscholar.org/paper/BOT-Contracts%3A-Applicability-in-Pakistan-for-Mubin-Ghaffar/9d548661ac1d2e333d8e9bf6b659c472ec70a8a9 (accessed on 16 May 2023).
  66. Aldrete, R.; Bujanda, A.; Valdez, G.A. Valuing Public-Sector Revenue Risk Exposure in Transportation Public–Private Partnerships. Transp. Res. Rec. J. Transp. Res. Board 2012, 2297, 88–96. [Google Scholar] [CrossRef]
  67. Liou, F.-M.; Huang, C.-P. Automated Approach to Negotiations of BOT Contracts with the Consideration of Project Risk. J. Constr. Eng. Manag. 2008, 134, 18–24. [Google Scholar] [CrossRef]
  68. Singh, L.B.; Kalidindi, S.N. Traffic revenue risk management through Annuity Model of PPP road projects in India. Int. J. Proj. Manag. 2006, 24, 605–613. [Google Scholar] [CrossRef]
  69. Brandão, L.E.; Bastian-Pinto, C.; Gomes, L.L.; Labes, M. Government Supports in Public–Private Partnership Contracts: Metro Line 4 of the São Paulo Subway System. J. Infrastruct. Syst. 2012, 18, 218–225. [Google Scholar] [CrossRef]
  70. Burke, R.; Demirag, I. Risk management by SPV partners in toll road public private partnerships. Public Manag. Rev. 2019, 21, 711–731. [Google Scholar] [CrossRef]
  71. Carbonara, N.; Costantino, N.; Gunnigan, L.; Pellegrino, R. Risk Management in Motorway PPP Projects: Empirical-based Guidelines. Transp. Rev. 2015, 35, 162–182. [Google Scholar] [CrossRef] [Green Version]
  72. Carbonara, N.; Costantino, N.; Pellegrino, R. Revenue Guarantee in Public-Private Partnerships: A Fair Risk Allocation Model. Constr. Manag. Econ. 2014, 32, 403–415. [Google Scholar] [CrossRef]
  73. Chan, A.P.C.; Yung, E.H.K.; Lam, P.T.I.; Tam, C.M.; Cheung, S.O. Application of Delphi Method in Selection of Procurement Systems for Construction Projects. Constr. Manag. Econ. 2001, 19, 699–718. [Google Scholar] [CrossRef]
  74. Chang, L.-M.; Chen, P.-H. BOT Financial Model: Taiwan High Speed Rail Case. J. Constr. Eng. Manag. 2001, 127, 214–222. [Google Scholar] [CrossRef]
  75. Daito, N.; Chen, Z.; Gifford, J.L.; Porter, T.; Gudgel, J.E. Implementing Public Private Partnerships during Challenging Economic Times: Case Study of the 495 Express Lanes on the Virginia Portion of the Washington Capital Beltway Project (USA). Case Stud. Transp. Policy 2013, 1, 35–45. [Google Scholar] [CrossRef]
  76. De Schepper, S.; Dooms, M.; Haezendonck, E. Stakeholder Dynamics and Responsibilities in Public–Private Partnerships: A Mixed Experience. Int. J. Proj. Manag. 2014, 32, 1210–1222. [Google Scholar] [CrossRef]
  77. Rostiyanti, S.F.; Pangeran, M.H. Framework for Risk Allocation in PPP Infrastructure Development; Research Gate, Conference Paper. 2012, pp. 2–15. Available online: https://www.researchgate.net/publication/329371111_Framework_for_Risk_Allocation_In_PPP_Infrastructure_Development (accessed on 16 May 2023).
  78. Guasch, J.L.; Straub, S. Renegotiation of Infrastructure Concessions: An Overview. Ann. Public Coop. Econ. 2006, 77, 479–493. [Google Scholar] [CrossRef]
  79. Hwang, B.-G.; Zhao, X.; Gay, M.J.S. Public Private Partnership Projects in Singapore: Factors, Critical Risks and Preferred Risk Allocation from the Perspective of Contractors. Int. J. Proj. Manag. 2013, 31, 424–433. [Google Scholar] [CrossRef]
  80. Jokar, E.; Aminnejad, B.; Lork, A. Assessing and Prioritizing Risks in Public-Private Partnership (PPP) Projects Using the Integration of Fuzzy Multi-Criteria Decision-Making Methods. Oper. Res. Perspect. 2021, 8, 100190. [Google Scholar] [CrossRef]
  81. Ke, Y.; Wang, S.; Chan, A.P. Risk Allocation in Public-Private Partnership Infrastructure Projects: Comparative Study. J. Infrastruct. Syst. 2010, 16, 343–351. [Google Scholar] [CrossRef]
  82. Kumar, L.; Jindal, A.; Velaga, N.R. Financial Risk Assessment and Modelling of PPP Based Indian Highway Infrastructure Projects. Transp. Policy 2018, 62, 2–11. [Google Scholar] [CrossRef]
  83. Kuo, Y.-C.; Lu, S.-T. Using Fuzzy Multiple Criteria Decision Making Approach to Enhance Risk Assessment for Metropolitan Construction Projects. Int. J. Proj. Manag. 2013, 31, 602–614. [Google Scholar] [CrossRef]
  84. Sastoque, L.M.; Arboleda, C.A.; Ponz, J.L. A Proposal for Risk Allocation in Social Infrastructure Projects Applying PPP in Colombia. Procedia Eng. 2016, 145, 1354–1361. [Google Scholar] [CrossRef] [Green Version]
  85. Sheppard, G.; Beck, M. The Evolution of Public–Private Partnership in Ireland: A Sustainable Pathway? Int. Rev. Adm. Sci. 2018, 84, 579–595. [Google Scholar] [CrossRef] [Green Version]
  86. Tang, L.; Shen, Q.; Skitmore, M.; Cheng, E.W.L. Ranked Critical Factors in PPP Briefings. J. Manag. Eng. 2013, 29, 164–171. [Google Scholar] [CrossRef] [Green Version]
  87. Wu, Y.; Li, L.; Xu, R.; Chen, K.; Hu, Y.; Lin, X. Risk assessment in straw-based power generation public-private partnership projects in China: A fuzzy synthetic evaluation analysis. J. Clean. Prod. 2017, 161, 977–990. [Google Scholar] [CrossRef]
  88. Wu, Y.; Zhang, T.; Chen, K.; Yi, L. A Risk Assessment Framework of Seawater Pumped Hydro Storage Project in China under Three Typical Public-Private Partnership Management Modes. J. Energy Storage 2020, 32, 101753. [Google Scholar] [CrossRef]
  89. Xu, Y.; Chan, A.P.C.; Yeung, J.F.Y. Developing a Fuzzy Risk Allocation Model for PPP Projects in China. J. Constr. Eng. Manag. 2010, 136, 894–903. [Google Scholar] [CrossRef]
  90. Yurdakul, H.; Kamaşak, R.; Öztürk, T.Y. Macroeconomic Drivers of Public Private Partnership (PPP) Projects in Low Income and Developing Countries: A Panel Data Analysis. Borsa Istanb. Rev. 2021, 22, S2214845021000028. [Google Scholar] [CrossRef]
  91. Zangoueinezhad, A.; Azar, A. How Public-Private Partnership Projects Impact Infrastructure Industry for Economic Growth. Int. J. Soc. Econ. 2014, 41, 994–1010. [Google Scholar] [CrossRef]
  92. Zavadskas, E.K.; Turskis, Z. Multiple Criteria Decision Making (Mcdm) Methods In Economics: An Overview/Daugiatiksliai Sprendimų Priėmimo Metodai Ekonomikoje: Apžvalga. Technol. Econ. Dev. Econ. 2011, 17, 397–427. [Google Scholar] [CrossRef] [Green Version]
  93. Alireza, V.; Mohammadreza, Y.; Zin, R.M.; Yahaya, N.; Noor, N.M. An enhanced multi-objective optimization approach for risk allocation in public–private partnership projects: A case study of Malaysia. Can. J. Civ. Eng. 2014, 41, 164–177. [Google Scholar] [CrossRef]
  94. Casady, C.B.; Baxter, D. Pandemics, Public-Private Partnerships (PPPs), and Force Majeure|COVID-19 Expectations and Implications. Constr. Manag. Econ. 2020, 38, 1077–1085. [Google Scholar] [CrossRef]
  95. Chen, H.; Zhang, L.; Wu, X. Performance risk assessment in public–private partnership projects based on adaptive fuzzy cognitive map. Appl. Soft Comput. 2020, 93, 106413. [Google Scholar] [CrossRef]
  96. Forum on Public–Private Partnerships for Global Health and Safety; Board on Global Health; Health and Medicine Division; National Academies of Sciences, Engineering, and Medicine. Public–Private Partnership Responses to COVID-19 and Future Pandemics: Proceedings of a Workshop—In Brief; Casola, L., Ed.; National Academies Press: Washington, DC, USA, 2020.
  97. Jin, X.-H.; Zhang, G. Modelling optimal risk allocation in PPP projects using artificial neural networks. Int. J. Proj. Manag. 2011, 29, 591–603. [Google Scholar] [CrossRef]
  98. Khazaeni, G.; Khanzadi, M.; Afshar, A. Optimum risk allocation model for construction contracts: Fuzzy TOPSIS approach. Can. J. Civ. Eng. 2012, 39, 789–800. [Google Scholar] [CrossRef]
  99. Ng, S.T.; Xie, J.; Cheung, Y.K.; Jefferies, M. A Simulation Model for Optimizing the Concession Period of Public–Private Partnerships Schemes. Int. J. Proj. Manag. 2007, 25, 791–798. [Google Scholar] [CrossRef]
  100. Tian, C.; Peng, J.-J.; Zhang, S.; Wang, J.-Q.; Goh, M. A Sustainability Evaluation Framework for WET-PPP Projects Based on a Picture Fuzzy Similarity-Based VIKOR Method. J. Clean. Prod. 2021, 289, 125130. [Google Scholar] [CrossRef]
  101. Akomea-Frimpong, I.; Jin, X.; Osei-Kyei, R. A Holistic Review of Research Studies on Financial Risk Management in Public–Private Partnership Projects. Eng. Constr. Arch. Manag. 2021, 28, 2549–2569. [Google Scholar] [CrossRef]
  102. Akomea-Frimpong, I.; Jin, X.; Osei-Kyei, R. Managing Financial Risks to Improve Financial Success of Public–Private Partnership Projects: A Theoretical Framework. J. Facil. Manag. 2022, 20, 629–651. [Google Scholar] [CrossRef]
  103. Bildfell, C. P3 Infrastructure Projects: A Recipe for Corruption or an Antidote? Public Work. Manag. Policy 2018, 23, 34–57. [Google Scholar] [CrossRef]
  104. Braun, V.; Clarke, V. Using Thematic Analysis in Psychology. Qual. Res. Psychol. 2006, 3, 77–101. [Google Scholar] [CrossRef] [Green Version]
  105. Dansoh, A.; Frimpong, S.; Ampratwum, G.; Oppong, G.D.; Osei-Kyei, R. Exploring the Role of Traditional Authorities in Managing the Public as Stakeholders on PPP projects: A Case Study. Int. J. Constr. Manag. 2020, 20, 628–641. [Google Scholar] [CrossRef]
  106. Debela, G.Y. Critical Success Factors (CSFs) of Public–Private Partnership (PPP) Road Projects in Ethiopia. Int. J. Constr. Manag. 2022, 22, 489–500. [Google Scholar] [CrossRef]
  107. Dey, P.K.; Ogunlana, S.O. Selection and Application of Risk Management Tools and Techniques for Build-operate-transfer Projects. Ind. Manag. Data Syst. 2004, 104, 334–346. [Google Scholar] [CrossRef]
  108. Engel, E.; Fischer, R.; Galetovic, A. When and How to Use Public-Private Partnerships in Infrastructure: Lessons from the International Experience; National Bureau of Economic Research: Cambridge, MA, USA, 2020. [Google Scholar] [CrossRef]
  109. Henjewele, C.; Sun, M.; Fewings, P. Analysis of factors affecting value for money in UK PFI projects. J. Financ. Manag. Prop. Constr. 2012, 17, 9–28. [Google Scholar] [CrossRef]
  110. Khahro, S.H.; Ali, T.H.; Hassan, S.; Zainun, N.Y.; Javed, Y.; Memon, S.A. Risk Severity Matrix for Sustainable Public-Private Partnership Projects in Developing Countries. Sustainability 2021, 13, 3292. [Google Scholar] [CrossRef]
  111. Kim, K.; Kim, J.; Yook, D. Analysis of Features Affecting Contracted Rate of Return of Korean PPP Projects. Sustainability 2021, 13, 3311. [Google Scholar] [CrossRef]
  112. Mazher, K.M.; Chan, A.P.C.; Choudhry, R.M.; Zahoor, H.; Edwards, D.J.; Ghaithan, A.M.; Mohammed, A.; Aziz, M. Identifying Measures of Effective Risk Management for Public–Private Partnership Infrastructure Projects in Developing Countries. Sustainability 2022, 14, 14149. [Google Scholar] [CrossRef]
  113. Nguyen, D.A.; Garvin, M.J.; Gonzalez, E.E. Risk Allocation in U.S. Public-Private Partnership Highway Project Contracts. J. Constr. Eng. Manag. 2018, 144, 04018017. [Google Scholar] [CrossRef]
  114. Page, S.N.; Ankner, W.; Jones, C.; Fetterman, R. The Risks and Rewards of Private Equity in Infrastructure. Public Work. Manag. Policy 2008, 13, 100–113. [Google Scholar] [CrossRef]
  115. Ramli, N.H.; Adnan, H.; Baharuddin, H.E.A.; Bakhary, N.A.; Rashid, Z.Z.A. Financial Risk in managing Public-Private Partnership (PPP) Project. IOP Conf. Ser. Earth Environ. Sci. 2022, 1067, 012074. [Google Scholar] [CrossRef]
  116. Schaufelberger, J.E.; Wipadapisut, I. Alternate Financing Strategies for Build-Operate-Transfer Projects. J. Constr. Eng. Manag. 2003, 129, 205–213. [Google Scholar] [CrossRef]
  117. Feng, Y.; Guo, X.; Wei, B.; Chen, B. A Fuzzy Analytic Hierarchy Process for Risk Evaluation of Urban Rail Transit PPP Projects. Edited by Dalin Zhang, Sabah Mohammed, and Alessandro Calvi. J. Intell. Fuzzy Syst. 2021, 41, 5117–5128. [Google Scholar] [CrossRef]
  118. Wang, H.; Chen, B.; Xiong, W.; Wu, G. Commercial Investment in Public–Private Partnerships: The Impact of Contract Characteristics. Policy Politics 2018, 46, 589–606. [Google Scholar] [CrossRef]
  119. Wang, Y.; Zhao, Z.J. Evaluating the Effectiveness of Public–Private Partnerships in Highway Development: The Case of Virginia. Transp. Res. Rec. J. Transp. Res. Board 2018, 2672, 43–53. [Google Scholar] [CrossRef]
  120. Zhang, J.; Li, J.; Xu, S.; Zuo, J. PPP Concession Contract/Guidelines: A Comparative Analysis. In Proceedings of the 20th International Symposium on Advancement of Construction Management and Real Estate; Wu, Y., Zheng, S., Luo, J., Wang, W., Mo, Z., Shan, L., Eds.; Springer: Singapore, 2017; pp. 1279–1292. [Google Scholar]
  121. Zhang, S.; Li, J.; Li, Y.; Zhang, X. Revenue Risk Allocation Mechanism in Public-Private Partnership Projects: Swing Option Approach. J. Constr. Eng. Manag. 2021, 147, 04020153. [Google Scholar] [CrossRef]
  122. Zheng, X.; Liu, Y.; Sun, R.; Tian, J.; Yu, Q. Understanding the Decisive Causes of PPP Project Disputes in China. Buildings 2021, 11, 646. [Google Scholar] [CrossRef]
  123. Holian, M.J. Public-Private Partnerships for Brownfield Redevelopment: Economic Development, Regulatory Reform, and the Private Sector Role in Urban Environmental Management. In Environmental Management; 2006; pp. 1–8. Available online: https://www.cdfa.net/cdfa/cdfaweb.nsf/ord/nemwi-p3brownfields-614.html/$file/brownfield%20public%20private.pdf (accessed on 16 May 2023).
Figure 1. Core PPP contract types and categorization Public–Private Infrastructure Advisory Facility (PPIAF).
Figure 1. Core PPP contract types and categorization Public–Private Infrastructure Advisory Facility (PPIAF).
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Figure 2. The extent of public and private participation (https://ppp.worldbank.org/public-private-partnership/agreements (accessed on 3 March 2020).
Figure 2. The extent of public and private participation (https://ppp.worldbank.org/public-private-partnership/agreements (accessed on 3 March 2020).
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Figure 3. Organizational type.
Figure 3. Organizational type.
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Figure 4. Experience of respondents in years.
Figure 4. Experience of respondents in years.
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Figure 5. Educational background.
Figure 5. Educational background.
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Figure 6. Research methodology.
Figure 6. Research methodology.
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Figure 7. The NVIVO coding and the hierarchy chart.
Figure 7. The NVIVO coding and the hierarchy chart.
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Figure 8. The purview of overall NVIVO coding of transcribed data.
Figure 8. The purview of overall NVIVO coding of transcribed data.
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Figure 9. NVIVO word cloud.
Figure 9. NVIVO word cloud.
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Figure 10. NVIVO coding of DBFOT-BOT Types of PPP contracts.
Figure 10. NVIVO coding of DBFOT-BOT Types of PPP contracts.
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Figure 11. NVIVO coding of lease–affermage BLT types of PPP contracts.
Figure 11. NVIVO coding of lease–affermage BLT types of PPP contracts.
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Figure 12. NVIVO coding of ownership-BOOT type of PPP contracts.
Figure 12. NVIVO coding of ownership-BOOT type of PPP contracts.
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Figure 13. Percentage coverage of transcribed data.
Figure 13. Percentage coverage of transcribed data.
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MDPI and ACS Style

Akhtar, M.; Mufti, N.A.; Mubin, S.; Saleem, M.Q.; Zahoor, S.; Ullah, S. Identification of Various Execution Modes and Their Respective Risks for Public–Private Partnership (PPP) Infrastructure Projects. Buildings 2023, 13, 1889. https://doi.org/10.3390/buildings13081889

AMA Style

Akhtar M, Mufti NA, Mubin S, Saleem MQ, Zahoor S, Ullah S. Identification of Various Execution Modes and Their Respective Risks for Public–Private Partnership (PPP) Infrastructure Projects. Buildings. 2023; 13(8):1889. https://doi.org/10.3390/buildings13081889

Chicago/Turabian Style

Akhtar, Muhammad, Nadeem Ahmad Mufti, Sajjad Mubin, Muhammad Qaiser Saleem, Sadaf Zahoor, and Sanna Ullah. 2023. "Identification of Various Execution Modes and Their Respective Risks for Public–Private Partnership (PPP) Infrastructure Projects" Buildings 13, no. 8: 1889. https://doi.org/10.3390/buildings13081889

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