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The purpose of this paper is to focus on the challenges faced by the public and private sectors in developing output specifications for Australian public private partnership (PPP) projects. In particular, this study aims to examine how the stakeholders (including facilities managers) should cater for future changes in output specifications and make them flexible enough to meet the evolving project objectives.

The research is based on 19 semi‐structured interviews with key stakeholders from the public and private sectors in three States of Australia where PPP procurement has been used, including New South Wales (NSW), Queensland and Victoria. The results are triangulated with relevant literature for supports and contrasts.

For PPP projects, a good set of output specifications is conducive to the achievement of value for money, innovation, risk transfer, whole life asset performance through a clear abatement regime and an effective linkage of performance criteria to the payment mechanism. For existing specifications, it was found that too many and complex KPIs were specified, which were difficult to monitor, measure and implement by the client. Very prescriptive specifications hindered innovations and did not allow appropriate risk allocation. Further, the research study suggests that after the global financial crises, the private sector had less appetite to take the patronage risks in road and rail PPP projects. To mitigate these pitfalls, it is imperative that output specifications need to be aligned with the type of PPP projects they represent; in particular foreseeable changes should be addressed by some pre‐agreed framework to facilitate negotiation.

The significant contribution of this research is the identification of the common issues faced in drafting output specifications for Australian PPP projects. Stakeholders of future PPP projects should find the lessons useful for achieving value for money and appropriate risk transfer, stating the user requirements through clear and concise output specifications rather than input or prescriptive specifications in procuring social and economical PPP projects. Their relationships with facilities management are highlighted.

The concept of service provision through output specifications rather than input‐based specifications is currently occupying directors and managers within the service. While the debate continues, little research has been undertaken to find out the current spread of the new output specification and how it operates in NHS Trusts compared to the longer established input‐based service specification. This paper presents a study of around one‐third of the Trusts in England and provides a comparative analysis of the different specifications in use, whether in‐house or outsourced providers deliver the services to these Trusts, and how these providers are assessed for satisfactory performance. In addition, through a series of structured discussion forums, users’ requirements for the development of standardized performance metrics are established for the future management of output specifications.

Social infrastructure projects such as hospitals are increasingly being procured through public private partnerships (PPP). Due to their complex nature and very high operational requirements, these healthcare projects need special attention in developing robust output specifications at the early procurement stage. The purpose of this paper is to present a model framework of output specifications for adoption by public sector clients in jurisdictions planning to develop hospital PPP/PFI (Private Finance Initiative) projects.

The research is based on an in-depth analysis of best practices from standard and sample project output specification documents used in Australia and the UK for completed hospital projects, reinforced by interviews with key stakeholders in the two countries.

Drafting output specifications for hospital PPP projects is perceived to be a difficult and challenging task due to the complexity and changing needs brought about by evolving health policy, technology and medical advancement. The overarching target of preparing good output specification is to achieve value for money, innovation, risk transfer (including catering for changes), whole life asset performance and establishing performance criteria to link up with the payment mechanism.

The proposed framework is built up from public sector requirements on the physical asset, operational services provided by the private sector, with links to payment mechanism and performance evaluation. It also addresses change mechanism as well as conditions upon hand-over back to the public sector.

Unlike traditional projects which are procured using prescriptive specifications, PPP/PFI projects are procured using performance based output specifications. This paper provides the foundation and a model framework for preparing comprehensive output specifications based on best practices in Australia and the UK, using hospital as the contextual background.

Prior research has emphasised the importance of the early phases of construction projects, as well as the difficulties of procuring engineering services – especially due to the uncertainties. Despite that, studies on the public procurement of engineering services are scarce. Although scholars have shown that uncertainty may affect the choice of control modes, the level of uncertainty that characterises services is not addressed by the two task characteristics: knowledge of the transformation process and output measurability. The purpose is to investigate organisational control in public procurement of engineering services.

The existing control model was adjusted in this study by conceptually adding uncertainty as a third aspect to the two task characteristics. A single case study of the Swedish Transport Administration was used. The empirical data, comprising 14 interviews with managers from the client and engineering consulting companies, were analysed using flexible pattern matching and visual mapping approaches and then illustrated using the model.

The public client did not base its choice of control modes on uncertainty, but rather on the other two task characteristics. Consequently, the service providers argued that the chosen control modes reduced their creativity, increased their financial risks and caused unclear responsibilities. This study therefore shows that uncertainty is an important factor to consider in the choice of control modes, both from a theoretical perspective and from the service providers' point of view. The developed model may therefore be useful for researchers as well as practitioners.

This study is the first attempt to add uncertainty as a task characteristic when choosing control modes. The results contribute to the scarce control literature regarding the procurement of engineering services for construction projects and the procurement of other services with high uncertainty.

This paper is based on work undertaken for the Commonwealth Department of Finance and Administration and reports on recent developments within the Australian public sector of performance measurement in policy advice output. It outlines the role of performance information in an accrual‐based outcomes and outputs management framework, examines the merits of a model for developing criteria for “good” performance information and explores how these design principles might be applied to policy advice output. The paper identifies the key attributes of policy advice output from the perspective of both providers and clients and their linkage to proposed performance indicators, and concludes by surveying the political and accountability problems associated with specifying and measuring policy advice in government.

The purpose of this paper is to assess the impact of India’s trade liberalization during the late 1990s and 2000s on productivity of manufacturing firms and verify whether the productivity-enhancing impact of reductions in input tariffs was greater than that of output tariff cuts, as found in some earlier studies.

Firm-level (company-level) data drawn from Prowess database are used for the estimation of total factor productivity (TFP) at the firm level, done by using the Levinsohn–Petrin methodology. Econometric models are estimated to explain firm-level TFP. The explanatory variables used are output and input tariff rates and quantitative restrictions on imports at the industry level and firm characteristics such as firm size, export intensity and import intensity. Firm-level panel data for 2002-2010 or for a longer period 1998-2010 are used for the estimation of econometric models. Model estimation is done by applying the fixed-effects model and IV-2SLS, 3SLS estimators and EC2SLS estimators.

Trade liberalization had a significant positive effect on the productivity of Indian manufacturing firms. The lowering of output tariff had a greater beneficial impact on TFP of Indian manufacturing firms than the lowering of tariff on intermediate inputs.

Good deal of care has been taken in the measurement of output and inputs for the purpose of TFP measurement. Two alternative frameworks, gross output and value added, are used. This helps in making a better estimate of the impact of trade liberalization on TFP.

The purpose of this paper is to measure technical efficiency of Indian thermal power sector employing the recent by-production approach.

The by-production approach is used in conjunction with data from the Central Electricity Authority (CEA) of India to compute the output-based Färe, Grosskopf, Lovell (FGL) efficiency index and its decomposition into productive and environmental efficiency indexes for the ITPPs

The authors show that given the aggregated nature of data on coal reported by CEA, CEA’s computation of CO₂ emissions through a deterministic linear formula that does not distinguish between different coal types and the tiny share of oil in coal-based power plants, the computed output-based environmental efficiency indexes are no longer informative. Meaningful measurement of environmental efficiency using CEA data is possible only along the dimension of the coal input. Productive efficiency is positively associated with the engineering concept of thermodynamic/energy efficiency and is also high for power plants with high operating availabilities reflecting better management and O&M practices. Both these factors are high for private and centrally owned as opposed to state-owned power-generating companies. The example of Sipat demonstrates the importance of (ultra)supercritical technologies in increasing productive and thermodynamic efficiencies of the ITPPs, while also reducing CO₂ emitted per unit of the net electricity generated.

This paper uses the by-production approach for the first time to measure technical efficiency of ITPPs and highlights how the nature of the Indian data impacts on efficiency measurement.

This paper aims to investigate the productivity behavior of Indian banks in the presence of non-performing assets (NPAs) over the period 1999 to 2017. The study examines whether Indian banks withstand the shocks of the global financial crisis (GFC) of 2007–2009 and sustain their total factor productivity (TFP) levels in the post-crisis economic turbulent period or not.

The robust estimates of TFP and its components: efficiency change and technical change are obtained using the state-of-the-art and innovative sequential Malmquist-Luenberger productivity index (SMLPI) approach. The key advantages of this approach are that it explicitly allows the joint production of undesirable output (NPAs in our case) along with desirable inputs and outputs in the production process and precludes the possibility of spurious technical regress.

The empirical results of the study reveal that the Indian banking system has experienced a (−1) percent TFP regress, contributed solely by efficiency loss during the period under investigation. The GFC has slowed down the growth trajectory of TFP growth in the Indian banking industry. Among ownership groups, the effect of the GFC was pronounced on the public sector banks.

The practical implication drawn from the study is that the Indian banks have not been able to successfully transmit the use of installed technology in a way to generate early warning signals and mitigate the risk of defaults so as to maximize their productivity gains in the banking industry.

This study is perhaps the first one to understand the productivity dynamics of the Indian banks in response to both endogenous (i.e. NPA crisis) and exogenous (i.e. global financial and economic stress) crises. Moreover, the authors obtain the robust estimates of TFP growth of Indian banks by explicitly accounting for NPAs as an undesirable output and equity as a quasi-fixed input in the bank production process.