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The purpose of this paper is to extend the methodology proposed in Majumder et al. (2012) for the estimation of the item-specific purchasing power parities (PPPs) within countries, to the cross-country context. It estimates item-specific intra-country PPPs (i.e. spatial prices) and inter-country PPPs in a unified framework using unit records of household food expenditures from three Asian countries: India, Indonesia and Vietnam, covering contemporaneous time periods. The study addresses a key limitation of the International Comparison Program (ICP) exercise, namely, that it treats all countries, large and small, as homogeneous entities. Moreover, it directly calculates bilateral PPPs between countries based on their expenditure patterns and prices alone and directly estimates the price-level indices (PLI) and their standard errors, allowing formal tests of the hypothesis of PLI being unity. The usefulness of the estimated PPPs is illustrated by applying them to comparisons of real food expenditures between the three countries, and benchmarking the comparisons with those using the ICP PPPs.

The methodology is based on the fact that a spatial price index can be viewed as a true cost of living index (TCLI). Using a general cost function underlying the Rank 3 quadratic logarithmic systems, the TCLI is calculated for a reference utility level.

The study provides formal statistical tests of the hypothesis of item invariance of the PPPs. The usefulness of the proposed methodology is illustrated by applying the estimated PPPs in comparisons of food expenditures between subgroups in the three countries. The sensitivity of the expenditure comparisons to the use of item-wise PPPs underlines the need to provide price information on highly disaggregated PPPs to a much greater extent than the ICP has done to date.

The choice of these three Asian countries was dictated by the fact that, though comparability of items between them remains an issue as with all cross-country comparisons. Also, in the absence of price data, this study followed the practice in Majumder et al. (2012, 2015a, 2015b) in using as proxies the raw unit values of the food items, but adjusted for quality and demographic factors using the procedure introduced by Cox and Wohlgenant (1986) and extended by Hoang (2009).

It addresses some limitations of the ICP, namely, ICP treats all countries as single entities with the purchasing power of the country’s currency assumed to be the same in all regions within the country, ICP uses the US dollar as the numeraire (this ignores the fact that the PPPs required in bilateral welfare comparisons between developing countries with vastly different consumption habits from the “international norm” are quite different from the ICP PPPs) and ICP uses distribution invariant prices to calculate PPPs, which overlooks the fact that the poor pay different prices from the “representative” individual.

This study highlights the importance of estimating and using item-specific PPPs in cross-country comparisons by formally testing and rejecting the assumption of item invariant PPPs and by providing empirical evidence that they do make a difference to the welfare comparisons between countries. This study provides PPPs based on food items only, which may be more relevant for poverty comparisons.

It introduces, for the first time, the concept of item-specific PPPs between countries as estimable parameters and operationalizes this concept by using them in cross-country welfare comparisons.

Public–Private Partnerships (PPPs) are crucial to the procurement of global infrastructure projects. Moreover, a price mode based on a cluster of core concessionary items is key to the delivery of value-for-money and successful project outcomes. However, existing research has yet to fully identify PPP concessionary items, nor yet described the range of practical price modes. This study provides taxonomy of core concessionary items impacting PPP projects, systematically classifies price modes, and assesses the applicability and risk impacts of those price modes on PPP projects.

This study adopts a comparative case study method in analyzing core concessionary items and alternative price modes. China is taken as the context, as it is one of the world’s largest PPP markets. In ensuring research validity and reliability, diverse data sources are utilized, with a graphic content analysis tool developed to capture the structure of price modes.

Eight PPP price modes are identified. These are: (1) UP (Unit Price) mode, (2) ALS (Annual Lump Sum) mode, (3) IRR (Internal Rate of Return) mode, (4) RP (Return for Investing Capital (RIC) - Profit Rate of O&M (PROM)) mode, (5) RFP (RIC - Financing Interest Rate (FR) - PROM) mode, (6) RFPL (RIC - FR - PROM - Lower Limit of User Charge (LLoUC)) mode, (7) RFL (RIC - FR - Lump Sum/Fixed Unit Price O&M Contract (LSOM/FUP)) mode, and (8) RFLL (RIC - FR - LSOM/FUP - LLoUC) mode. Other main findings are as follows: (1) Five risk allocation configurations can be achieved via these price modes. Yet while different price modes enable the allocation of specific risks, these do not always align with contracting parties’ original intentions. (2) IRR and RP modes may be less applicable in general because of their vulnerability in allocating critical risks and capacity for spurring opportunistic behavior.

By depicting the paths by which concessionary items in price modes affect cash flow, a systematic analysis of price modes was conducted exposing structural characteristics, along with risk allocation choice implications. The study is unique in: (1) Providing a systematic classification of PPP price modes used in PPP projects, (2) Presenting a comprehensive identification and streamlining of concessionary items in PPP practice, and (3) Analyzing the risk effects of different price modes. Together, these outcomes offer a hitherto unavailable perspective on PPP project risk management. The value of the study lies in the following: (1) Existing studies employ diverse concessionary items, but their applicability varies. This study offers an overarching framework facilitating decision-making in selecting appropriate PPP price modes and in determining concessionary items. (2) This study adds to the understanding of PPP price modes in significant ways that will aid local governments and potential sponsors in crafting and administrating more workable contract designs.

Public–private partnerships (PPPs) are notoriously prone to disputes among stakeholders, some of which may unduly jeopardize contract performance. Contract disputes arising in Iran are often due to inefficiency of PPP concession agreements and practice. This study presents a causal-predictive model of the root causes and preventive measures for inter-organization disputes to enhance the likelihood of achieving desirable performance in PPP projects.

A theoretical “causal-predictive” model was developed with fourteen hypotheses based on extant literature and contractual agency theory, which resulted in the creation of a pool of 110 published items. Data were obtained from a questionnaire survey with 75 valid responses, completed by 4 stratified groups of Iranian PPP experts. Partial least square structural equation modeling (PLS-SEM) was used for validating the proposed model via a case study.

Results reveal that the main three factors of PPP desirable performance are as follows: on-time project completion, high quality of activities/products and services for public satisfaction. Further, the most influential factors of the lifecycle problems, construction stage, and preferred risk allocation included risk misallocation, improper payment mechanism and failure to facilitate a timely approval process.

For researchers, the findings contribute to the theory of contractual agency; specifically, how different influences among the model's elements lead to better PPP performance. In practical terms, proposed outcome-based strategies will inform PPP stakeholders to avoid dispute occurrence and thus improve the time, quality and services of projects.

The purpose of this paper is to investigate public disclosures and accountability for government decision-making in the case of a major prison project delivered through a Public–Private Partnership (PPP) in the State of Victoria (Australia).

The study explores a unique case to provide insights into public disclosures for PPPs in a jurisdiction that is a recognised leader in PPP policy and practice. The analysis is theoretically framed by an understanding of neoliberalism and New Public Management, and draws on data from case-specific reporting, media reporting and public policy, to examine interconnections between accounting, public discourse and accountability.

The analysis shows how publicly available information relating to key government decisions routinely lacked supporting evidence or explanation, even though areas of subjectivity were recognised in public policy. Accounting was deployed numerically and discursively to present potentially contestable decisions as being based on common-sense “facts”. The implied “truth” status of government reporting is problematised by media disclosure of key issues absent from government disclosures.

Under neoliberalism, accountingisation can help depoliticise the public sphere and limit discourse by constructing ostensible “facts” in an inherently contestable arena. By contrast, democratic accountability requires public disclosures that infuse a critical dialogical public sphere.

The paper shows how neoliberalism can be embedded in public policies and institutional practices, and buttressed by the use of accounting. The analysis illuminates the persistence and “failing forward” character of neoliberalism, whereby crises are addressed through further neoliberalisation.

Project cost is normally a key performance indicator for all projects, and therefore features prominently in benchmarking exercises aimed at identifying best practice. However, projects in different locations first require all costs to be expressed in equivalent units. Failing to do this leads to erroneous and unreliable results. The paper aims to discuss these issues.

Applying international construction as the focus for the study, cost data from 23 cities worldwide are compared using a range of methods including currency conversion and purchasing power parity (PPP). Coefficient of variation (CoV) forms the test for identifying the method with the lowest volatility.

It is found that purchasing power is the preferable theoretical base for international cost conversion, and currency conversion (frequently used by practitioners) is not recommended. The citiBLOC PPP method has the lowest CoV across the data set and therefore more closely reflects the Law of One Price that underpins the concept of PPP.

This research highlights the importance of a valid cost conversion methodology to properly understand the comparative performance of projects. Its application to benchmarking is demonstrated using the data envelopment analysis method.

The sustainable development goal (SDG 17) is to strengthen the means of implementation and revitalise the global partnership for sustainable development. Partnership is a key strategy for acquiring skills, information and private finance for developing critical infrastructure projects. Existing studies have mostly concentrated on identifying critical success factors (CSFs) for successfully delivering public–private partnerships (PPPs) projects, but the interrelationships among CSFs expected from stakeholders have garnered less attention. The purpose of this study is to examine the interconnections among CSFs of PPP projects while keeping the public in mind, as well as the influencing routes that contribute to success in the PPP implementation process.

The study uses a mixed-method approach that involves both quantitative and qualitative methods of data collection. The data for the study were collected through a well-structured questionnaire from the respondents who are directly or indirectly associated with the PPP project implementation process. The CSF’s framework was built using a literature study and expert interviews; nine hypotheses were developed and evaluated using structural equation modelling. Random and purposive sampling techniques were used for the respondents who were directly or indirectly associated with the PPP project implementation process.

The findings of this study reveal that the relationship between public and private partners is more adherent than collaborative, with unequal responsibilities, powers and resources distributed among the parties involved. The relevance of state rules, the PPP directive and policies in PPP implementation is supported by the positive connection between favourable environments (Fav_Env) and government attributes (Gov_Atr; the path coefficient is 0.405). Moreover, government attributes have a favourable influence on private company attributes (Pvt_Atr; the path coefficient is 0.198), showing that the state plays a substantial role in the private sector’s decision-making process in PPP. The long-term sustainability and success of a PPP project are dependent on the established interrelationships between CSFs.

The established interrelationships between CSFs will contribute to the long-term viability and success of a PPP project. Since PPP is still in its infancy in India, the study of CSFs in PPPs and their interrelationships will help policymakers and other stakeholders better understand the major individual factors impacting the success or failure of PPP initiatives.

Because PPP is still in its infancy in India, the study of CSFs in PPPs and their interrelationships will help policymakers and other stakeholders to better understand the major individual factors impacting the success or failure of PPP initiatives. A key implication of the study borders on providing a better understanding of the relationships between CSFs and public engagement. This is also critical for the long-term viability of PPPs and the enhancement of public service quality.

The purpose of this paper is twofold: first, to identify and rank the challenges influencing the delivery of the housing public-private partnership (HPPP) in Tanzania; and second, to suggest solutions in the form of a conceptual public-private partnership (PPP) framework model that will address the identified challenges and boost the chances of success.

Using a convergent parallel (concurrent) mixed method approach, data were collected from 28 stakeholders involved with HPPP projects in Tanzania using a hand-delivered and e-mail survey and 13 semi-structured interviews with public and private sector respondents. The quantitative data included subjecting the 19 challenges as identified from the literature to parametric tests such as one-sample t-tests and descriptive statistics tests such as measures of central tendencies and frequency analysis through Statistical Package for Social Sciences (SPSS 22.0). Qualitative data employed content analysis. The research was further underpinned by a number of theoretical perspectives such as Gidden’s structuration theory, contingency theory, relational and equity theory.

The top five ranked challenges influencing the delivery of HPPP were “inadequate PPP skills and knowledge”; “poor contracting and tendering documents”; “inadequate project management”; “inadequate legal framework”; and “misinformation on financial capacity of private partners”. The least six ranked and most significant challenges based on the one-sample (single) t-tests were as follows: “Poor risk allocation”; “inexperienced private partner”; “unequal qualification and contributions of expertise”; “poor enabling environment to attract competent partners”; “inadequate mechanisms for recovery of private investors’ capital”; and “high costs in procuring PPP projects”. The qualitative study further confirmed the challenges and cited the reason for the failure of joint venture projects as the lack of motivation for undertaking similar PPP projects. Despite the increased awareness of PPP projects and associated marginal benefits, the main impediment to the uptake and delivery of PPP housing projects remained the lack of skills and expertise.

The proposed framework model is not yet tested, but since this paper is part of the ongoing research, the next stage involves the testing and validation of the model. Future studies could test the applicability of the proposed framework in other HPPP projects in Tanzania, and in other similar developing countries. Second, the validated framework can contribute towards addressing similar challenges as well as providing guidance. The proposed framework model is not yet tested, but since this paper is part of the ongoing research, the next stage involves the testing and validation of the model. Furthermore, recommendation for future research is to test the alignment of the identified challenges to the proposed remedial solutions across the five phases within the proposed PPP framework with a number of case studies.

The identified challenges were used to form the basis of the framework presented in this paper. Furthermore, these provide useful information, thus leading to increased awareness to enable successful delivery of HPPP in Tanzania. Similarly, both the government and policy makers could use the findings as the basis for re-examining the existing PPP policy and regulations, and reflecting on the existing situation with a view to improving the delivery of future HPPP projects.

The empirical study is among the first that identifies and ranks the challenges of PPP for housing projects delivery within the Tanzanian context. The identification of the challenges enabled their ranking, resulting in the mapping out of the most critical challenges. Furthermore, using the Gidden’s structuration theory, the study illustrates how institution mechanisms (structures) address these delivery challenges, thus influencing the implementation of HPPP in Tanzania, and how individual stakeholders (human agents or agency) are able to make choices (advocated solutions) in dealing with the challenges. More so, these constraints (challenges) as identified and viewed through the contingency and equity theoretical lenses form the foundation for developing the PPP conceptual framework. The proposed framework would thus serve as a mechanism for providing practical solutions as well as reducing the level of severity of the identified challenges.

Personalized price promotion (PPP) is a marketing instrument that addresses the limitations of untargeted promotions by tailoring the offers to individual customers based on their purchase histories. Current evidence on PPP is limited to its immediate effects on buying behaviors at grocery stores and food companies' economic benefits. Moreover, little is known about the role of consumer characteristics in determining how effectively this promotional tool works. Hence, we aim to assess the effectiveness of PPP in promoting healthy fast food and which consumer-specific factors affect its performance.

The authors conduct a laboratory experiment to examine the effects of personalized and non-personalized coupons for lower-calorie fast food menus on food and calorie selection. The coupon personalization is based on participants' menu choices, calorie needs and deal proneness. The authors additionally investigate how post-intervention changes are influenced by consumers' estimation of their selected calories, and their attitudes toward nutrition.

Recipients of personalized incentives are more likely than participants in the control group to redeem the offered coupons, select more healthy items and reduce their selected calories. Such changes are less likely among participants underestimating the calorie content of their menu choices and perceiving higher barriers to healthy eating. Personalized coupons perform better even among subjects receiving lower discounting levels than the control treatment.

As the first to evaluate the effectiveness of PPP in encouraging healthy food choices, this study highlights the potential of this cutting-edge price intervention and provides valuable implications for future research.

Trust is the glue that holds cooperative relationships together and often exists in an asymmetric manner. The purpose of this study is to explore how to mitigate the issue of losses or increased transaction costs caused by opportunistic behavior in a soft environment where trust asymmetry is quite common and difficult to avoid.

This study focuses on examining asymmetric trust between the government and the private sector in public-private partnership (PPP) projects. Drawing upon both project realities and relevant literature, the primary conditional variables influencing asymmetric trust are identified. These variables encompass power perception asymmetry, information asymmetry, interaction behavior, risk perception differences and government-side control. Subsequently, through the use of a survey questionnaire, binary-matched data from both the government and the private sector are collected. The study employs fuzzy-set qualitative comparative analysis (fsQCA) to conduct a configurational analysis, aiming to investigate the causal pathways that trigger asymmetric trust.

No single conditional variable is a necessary condition for the emergence of trust asymmetry. The pathways leading to a high degree of trust asymmetry can be categorized into two types: those dominated by power perception and those involving a combination of multiple factors. Differences in power perception play a crucial role in the occurrence of high trust asymmetry, yet the influence of other conditional variables in triggering trust asymmetry should not be overlooked.

The findings can contribute to advancing the study of trust relationships in the field of Chinese PPP projects. Furthermore, they hold practical value in facilitating the enhancement of trust relationships between the government and the private sector.

The Public–Private Partnership (PPP) modality plays an important role in the procurement of global infrastructure projects. Regarding PPP's complex transaction structure, pricing of a PPP project is critical to both parties where the government pursues a high value for money (VFM) and the investor strives to maximize its financial gains. Despite the straightforward win–win principle, a formidable compromise is often the case to end up with a fairly acceptable price, subject to many determinants such as the risk profile, expected return, technological innovation and capacities of both parties. Among them, this study chooses to examine the “managing flexibility” (MF) capacity of investors in pricing of a PPP project, in light of the widely recognized importance of a real-option perspective toward the long term, complex and uncertain PPP arrangement. This study addresses two major questions: (1) how is MF in PPP projects to be valued and (2) how are PPP projects to be priced when considering a project's MF value.

A binomial tree model is used to evaluate the MF value in PPP projects. Based on the developed MF pricing model, net present value (NPV) and adjusted VFM value are then calculated. Finally, a multi-objective decision-making method (MODM) was adopted to determine the optimal level of returns based on invested capital (ROIC), return on operation maintenance (ROOM) and concession period.

The applicability and functionality of the proposed model is investigated using a real project case. For a given return, extended NPV and adjusted VFM value were calculated and analyzed using sensitivity analysis. Factor influence is shown by the model to be dependent on factor impact on cash flow. Subsequently, a multi-objective decision-making (MODM) model was adopted to determine the optimal level of returns, where the solution approximates the real-world bidding price. Results confirm that the pricing model provides a reliable and practical PPP proposal pricing tool.

This study proposes an integrated framework for valuing MF in PPP projects and thus more accurately determine optimal pricing of PPP projects than revealed in extant research. The model offers a practical tool to aid in the valuation of PPP projects.