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The purpose of this paper is to examine the applicability of the alternative way of discounting, such as the hyperbolic discount method, for the economic feasibility test on Free Trade Zone development project that needs intergenerational analysis.

To analyze the effects of applying alternative discounting method in the cost-benefit analysis, this paper uses the hyperbolic discount method and HM-Treasury’s method (Britain), as well as the traditional exponential discount method. Also, this study uses benefit and cost data from the actual feasibility test of the Free Trade Zone development project in Korea, to obtain better policy implication.

For the case of long-term analysis, using the exponential discounting method in the benefit-cost analysis could not give us balanced analytic results, because it discounts too much on future generation’s benefits. In contrast, if we use the hyperbolic discounting method, we could obtain better balanced results since it can control the generational effects. This paper also finds that for the results to be valid, the analysis period must be expanded long enough (a minimum of 100 years).

The major findings of this paper confirm the results of previous studies regarding long-term benefit-cost analysis. Also, the result of this paper is properly compatible with the findings of behavioral economics, such as the time inconsistency of preferences. However, no research has been done with the proper length of analytic periods for using hyperbolic discounting yet. To examine this matter, this paper performs benefit-cost analysis with actual data from the feasibility studies in Korea. To the best of the author’s knowledge, this is the first study to find the proper length of analytic periods that can be compatible with the hyperbolic discount method.

Hydraulic excavator cycle time and associated unit costs of excavation for given input estimating data, for machines operating in the UK construction industry, are predicted. Using multiple regression analysis, three variables are identified as accurate predictors of cycle time: machine weight, digging depth and machine swing angle. With a coefficient of determination (R2) of 0.88, a mean percentage error (MPE) of −5.49, and a mean absolute error (MAPE) of 3.67, the cycle time model is robust; this is further validated using chi‐square analysis and Pearson's correlation coefficient (on predicted and actual values of machine cycle time). An illustrative example of the model's application to determine machine productivity is given. The paper concludes with a spreadsheet model for calculating excavation costs (m3 and cost per h) which is able to deal with any combination of the three independent cycle time predictor variables and other estimator's input data.

Libraries need to develop information processing systems for evaluation, budgeting, planning, and operations. Electronic spreadsheets lend themselves to a variety of applications, but are time‐consuming to create. A model template and macros that can be used in many different types of library data analysis have been developed here. The procedures demonstrated here can build an essential set of tools for meeting fundamental goals of administrative efficiency, effective use of library resources, staff motivation, and rational policy making.

In the context of public-private partnerships (PPPs), it has been argued that the standard valuation framework produces a paradox whereby government appears to be made better off by taking on more systematic risk. This has led to a range of approaches being applied in practice, none of which are consistent with the standard valuation approach. The purpose of this paper is to demonstrate that these approaches are flawed and unnecessary.

The authors step through the proposed alternative valuation approaches and demonstrate their inconsistencies and illogical outcomes, using theory, logic and mathematical proof.

In this paper, the authors demonstrate that the proposed (alternative) approaches suffer from internal inconsistencies and produce illogical outcomes in some cases. The authors also show that there is no problem with the current accepted theory and that the apparent paradox is not the result of a deficiency in the current theory but is rather caused by its misapplication in practice. In particular, the authors show that the systematic risk of cash flows is frequently mis-estimated, and the correction of this error solves the apparent paradox.

Over the past 20 years, PPP activity around the globe amounts to many billions of dollars. Decisions on major infrastructure funding are of enormous social and economic importance.

To the best of the authors’ knowledge, this study is the first to demonstrate the flaws and internal inconsistencies with proposed valuation framework alternatives for the purposes of evaluating PPPs.

The purpose of this paper is to deal with one of the technical difficulties of private and social cost–benefit analysis, i.e. the choice of the proper cost–benefit aggregation rule (or method) to use, when a private capital investment decision has to be taken or a public project appraisal has to be carried out.

Although the considerable amount of existing literature, the problem of the choice of the right mathematical aggregation rule is still an open one. The majority of authors claim that net present value is a superior method and thus it is the one to be always used. Other authors try to show that various aggregation methods, under specific conditions, arrive at the same recommendation. An exceptional case is the field of education economics where the internal rate of return is widely used.

This paper offers a survey of this controversial topic which focuses on some clear cut formal properties of the various aggregation methods and considers the empirical characteristics of the different fields of application. Its main conclusion is that no “correct” aggregation rule, always applicable in all decision frameworks, can exist.

Its main objective is to supply clear guidelines to orient practitioners and help the teaching on this topic. Its main conclusion is that no “correct” aggregation rule, always applicable in all decision frameworks, can exist. On the contrary, even if one restricts her/himself to a particular class of investments, often no clear-cut selection can be made.

Mann, Antonucci, Nathan, Hackerman and Antropov investigated aniline and N — substituted methyl and ethylamines as corrosion inhibitors for iron in acidic media. The present study was therefore undertaken to investigate the retardation of corrosion of aluminium 65S in hydrochloric acid.

Medical disruptive innovation is essential for deepening the reform of health-care system. The theory of general disruptive innovation assumes that innovations can diffuse by benefiting and attracting consumers through observed and objective relative advantages. Yet decision-makers for adoption in health-care settings are safety-sensitive professionals whose cognitions barriers about underperformance in focal attributes will impede further evaluation of innovation's ancillary performance. Existing studies do not answer the question of how such innovations can overcome safety barriers, find early adopters and grow to the early majority. The purpose of this study is to investigate the process, mechanism, and path of early diffusion of medical disruptive innovation.

The authors conduct a longitudinal case study of the diffusion of Enhanced Recovery After Surgery (ERAS) in China during 2011–2018.

The authors find that the diffusion process of medical disruptive innovations can be viewed as a cognitive evolutionary process that sequentially establishes conformity, differentiation and normalization. Cognition reframing of expert, meaning and benefit for professionals is its implicit mechanism. When adoption may trigger cognitive concerns, actors’ very early (dis)adoption is driven by a combination of structural position, innovation attributes and performance perceptions; central actors then play amplifier roles in the development from early adopters to the early majority.

This study proposes a process theoretical framework for the early diffusion of disruptive innovation. By dissecting the key processes and mechanisms from a cognitive perspective, the study offers theoretical contributions and practical insights into the diffusion of disruptive innovation in professional settings.

The purpose of this study is to solve the problem of healthcare waste management in developing countries. The buildup of medical waste has attracted the attention of all spheres of society due to the expanding population and developing economy. Timely collection and processing of medical waste are extremely important due to its potential hazards. Although the problem of planning medical waste management has been addressed in developed countries, it persists in several developing countries. This research is motivated by an example of a city in India characterized by a dense population, abundant health-care facilities and a lack of planning for managing large medical waste generated daily.

The authors address the problem of designing the network of collection and processing facilities for medical waste and optimizing the vehicle route that collects and transfers the waste between facilities. Due to distinct topographic restrictions in the considered city, the collection and transfer process needs to be conducted in two echelons – from hospitals to collection centers using smaller vehicles and then to the processing facilities using trucks. This work addresses these two problems as a two-echelon location-routing problem.

A mixed-integer programming model is developed to minimize the cost of opening the facilities and transporting medical waste. Several managerial insights are drawn up to assist planners and decision-makers.

This study follows a case study approach to provide a descriptive and prescriptive approach to hospital waste management in the ancient city of Varanasi. The city has witnessed unplanned growth over the years and is densely populated. The health-care facilities in the city have a large catchment area and attract patients from neighboring districts. The situation analysis based on secondary data and unstructured interviews of the stakeholders suggests that the ad hoc approach prevails in present hospital waste management in the city.