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Purpose – Due to the disruptive nature of digital transformation, firms can hardly ignore the further digitalisation of processes and business models. Implementing such initiatives triggers enormous investments in infrastructure and software, making the evaluation of digital investments crucial for a firm’s competitive situation. Design/methodology/approach – Given the dynamics and uncertainties inherent in digital transformation, a qualitative, inductive research approach based on semi-structured interviews with high-level finance executives has been employed. Findings – Our findings indicate widespread dissatisfaction with traditional investment appraisal methods for evaluating digital investments. Data also suggest that non-financial considerations are frequently taken into account, albeit implicitly, as participants struggled to clearly conceptualize these criteria. Originality/value – The literature indicates important research gaps regarding the applicability and usage of traditional, predominantly financial, investment appraisal methods in digital contexts. This research enhances our understanding of digital investment evaluation, by (i) developing an exploratory conceptual framework of potential qualitative evaluation criteria and (ii) providing an in-depth and detailed understanding of the barriers to implementing investment appraisal methods.

Investment appraisal of agricultural projects (APs) is particularly demanding due to several factors. Namely, APs may have longer time horizons, higher external and internal volatility, and uncertainty caused by less control of production and external conditions (e.g., climatic conditions and market demand). Indeed, these APs may face high and different risks that should be managed properly. Nevertheless, both the literature and practice do not address such complexity and uncertainty conveniently. Thus, this research aimed to develop an integrative and easy-to-use framework to support the investment appraisal of APs, which goes beyond the traditional approach based on simple and deterministic models. This framework is based on an approach that includes several capital budgeting techniques integrating extended multi-index methodology (EMIM), Monte Carlo simulation (MCS), and real options analysis (ROA). This framework allows dealing with different risk and uncertainty scenarios and managerial flexibilities, which allow alternative and additional investment options. A simpler and easier approach can be particularly important for family agribusinesses, which usually do not use sophisticated decision-making tools. An AP in an agrosilvopastoral system (i.e., agriculture, livestock, forestry) was used to present and discuss the proposed methodology considering the relevance of such systems for sustainable agriculture and their higher risk and complexity when compared to traditional approaches. The main contribution of the framework is structuring a set of steps based on several tools to carry out investment appraisal in APs. [ABSTRACT FROM AUTHOR]

Climate-smart agriculture (CSA) is a climate-resilient practice that stands out globally as an important practice through which we can deal with emerging challenges through adaptation and mitigation to increase crop productivity and resilience. Despite its significance, a comprehensive cost–benefit analysis of the adoption of these practices has not yet been carried out. This study aims to bridge the knowledge gap between the cost and effectiveness of CSA practices adopted by small-scale farmers in growing rice, wheat and maize, the most staple crops in the Gandaki River Basin of Nepal. In this study, net present value (NPV), internal rate of return (IRR), benefit–cost (BC) ratio, net benefit investment (NK) ratio and payback period, along with the value of externalities (social and environmental), were employed to assess the profitability of CSA practices. The findings indicate that almost all the CSA practices analyzed were profitable, with the exception of solar water management in maize with very low IRR (6%) and a longer payback period. The outcome of this study offers valuable insights for farmers in choosing profitable CSA technology and for policy makers in promoting better CSA technology, upscaling CSA practices, and formulating new agricultural policies and programs in the context of the changing climate. [ABSTRACT FROM AUTHOR]

This theoretical paper presents a real options valuation method (SCV) based on Wiśniewski's concept, double Monte Carlo simulation (2MC). In this methodology, option valuation involves determining the difference between the average value of a project with an option and the average value of a project without option and is calculated using financial simulation models characterizing these investments. Calculated values of project with option and without depends on the input parameters (deterministic or/and stochastic), that are already used by managers. The real options valuation methodology is presented using a numerical example of a flexible investment. The analysis demonstrates the usefulness of the SCV method, especially in the early stages of investment implementation, for complex and multi-stage projects, and in the presence of multiple sources of risk, that can be easily modeled using market data. An additional conclusion from the paper is the difference between the values ​​of real options, determined using the SCV method, and the value of decision flexibility (2MC method), as well as their economic significance and their application in practice. [ABSTRACT FROM AUTHOR]

Aiming at the deficiencies presented by the traditional methods of highway project investment evaluation, the proposed highway investment evaluation method was based on system dynamics. First, we constructed an evaluation index system from profitability, solvency, and risk resistance and clarified the positive and negative causality within the investment evaluation system of highway projects; second, we determined the boundaries of the system dynamics model and divided it into six sub-systems, namely, income, cash flow, investment evaluation, profit, cost, investment and financing, and liabilities; and then, we established the system dynamics model of highway investment evaluation based on the sub-systems. The model made up for the limitations of the traditional discounted cash flow method; finally, taking the China's Yunnan Province an Expressway project as an example, using VENSIM software simulation, we get the evaluation results of the system dynamics model and make a comparative analysis with the discounted cash flow method, which showed that the calculation inaccuracies of the NPV and other financial indicators were in a reasonable range, and the evaluation method had strong operability and practicability. The system dynamics investment evaluation model provided a systematic, intuitive, whole-process investment evaluation method, which provided a theoretical basis for the analysis and decision-making of the investment effect of highway projects. [ABSTRACT FROM AUTHOR]

Generally negative prevailing views of infrastructure delivery performance is sclerotic and in need of an evidence-based reappraisal. This study evaluated the project delivery performance of National Highways, the government company responsible for delivering England's road investment strategy which completed 138 road/highway major schemes over 16 years between 2001 and 2016.93% of major schemes had a benefit-cost ratio, BCR, of 1 or more which means most projects delivered more benefit than their cost. 69% have a high BCR of 2 or more, delivering benefits at least twice the cost of the project. Typical cost performance was a 2.4% overrun with 42% of projects delivered on or under budgeted cost. The overall value of cost overruns was compensated for by the value of underruns so the net cumulative balance was below zero. Cost performance improved over time, with a typical cost underrun of −6% observed in projects completed in the latter half of the studied time period. The improvement to delivery cost performance is most likely to be explained by changes in policy and practice, including: improved estimation of costs; Strengthened appraisal and approval; Developing procurement strategy; Improving programme management; Implementing lessons learned.

Affect is generally characterised as distinct from, and detrimental to, reason in investment appraisal. This paper, in contrast, illustrates that affect is integral to reasoning, particularly when uncertainty disturbs investment appraisal. Investment appraisals produce uncertain projections about the future, which generate discomfort. This causes actors to undertake adaptive activities to craft calculations they can become comfortable with, which we characterise as epistemic participation and shaping the politics of expectations. These activities constitute a dualistic fusion of comfort and reason: discomfort initiates and informs reasoning to regain comfort. We further show the effects of the laborious efforts accompanying this accretion of both knowledge and comfort. Our arguments are supported by an analysis of investment appraisal for a 30‐year capital project. [ABSTRACT FROM AUTHOR]

The article studies problems and prospects of managerial decisions dealing with the process of import-substitution of certain products and puts forward the method of raising its efficiency. This research is based on costs – output tables, as a result of which a special algorithm is designed to estimate the efficiency and accompanying effects for different lines of import-substitution. The authors analyze in what way the process of import-substitution can affect the output of certain industries (both inside the country and for other countries) and how it can change import and export by each industry of each country. By using this algorithm two tests were carried out based on computer modeling, where a proportion of import in a chosen industry of the country was replaced by home production, at first for one type of products and then for another. Results of these tests show a number of predicted values of macro-economic indices as a result of import-substitution of one or another product, whose analysis helps identify the best variant of importing such product, which should be substituted by home produce in order to reach the set criterion of efficiency. The designed algorithm can be used as a support system for decision-making in importsubstitution policy.

Quantifying uncertainty over technologies, costs, and prices that stem from site-specific conditions, technological particularities and future projections is an important element in the investment appraisal of desalination facilities. Yet, the majority of economic assessments in the field of desalination plants, so far, use deterministic estimation methods based on ‘best guess’ estimates and ceteris paribus sensitivity analyses. Aiming to fill this gap, this paper introduces a new approach towards comparing alternative technological options for desalination facilities under uncertainty based on the Levelized Cost of Water (LCOW). The proposed framework combines Monte Carlo simulations with scenario analysis and random-walk-based models to account for the cone of uncertainty of the LCOW. For purely illustrative purposes, five alternative combinations of desalination technologies and energy sources are examined in the State of Kuwait. The findings show that the proposed framework, although it cannot eliminate uncertainty, can assist decision-makers in managing it by framing the range of possible outcomes of the LCOW. In this way, it offers an insight into the accuracy of the estimates and allows the validation of the impact of risks and uncertainties against the acceptable tolerance level. Yet, several issues need to be addressed in future research.

Research background: An investment appraisal applies a single discount rate across all effects. However, this may be insufficient for heterogenous environmental impacts, mixing private and public goods as well as use and non-use values, where individuals may have multiple intertemporal preferences due to their duality to act as consumer or citizen.

Typically, the economic analysis of Renewable Energy Projects (REP) has been assessed considering Classical Methodologies of Investment Analysis (CMIA) in which only a few set of indicators are included, highlighting the Payback, Net Present Value and Internal Rate of Return. This excessive reliance on CMIA has been criticized because it neglects managerial flexibility, and it may end up leading to the project's undervaluation. This paper attempts firstly, to identify and describe the complementarity among economic evaluation methodologies for REP. Secondly, a novel framework is proposed for conducting the economic analysis to help decision-makers in identifying the most suitable methodology before proceeding with the investment. The findings of the study suggest that CMIA may be suitable for the cases of projects presenting low volatility. However, the analysis should be supplemented by a new set of indicators for projects with medium or high volatility. The Multi-Index Methodology (MIM), the Extended Multi-Index Methodology (EMIM) and the Real Options Analysis (ROA) are proposed to increase the investors’ perception towards both the project’s profitability and risk and to account for flexibility. The application of the proposed framework is demonstrated for the case of a Small Hydropower Plant (SHP) investment project. The outcomes of this paper also include the opportunities for decision-makers to flexibly respond to changes in the business and economic market using the proposed conceptual framework.

Developing countries have many cities which contain a historic district that include older buildings and streets as well as traditional activities and/or events. Such historic districts have survived and not changed to match the new developments. However, the continuing pressure of the population growth and the geographic expansion often represents a serious threat to these heritage assets which thought of as a block in the way of advance. This paper discusses the implementation of the heritage economics principles and its methodologies in the investment appraisal for the preservation of heritage assets in developing cities and countries, taking into consideration the characteristics of cultural heritage in such environment and discusses the options and anticipations that might face the planners of urban areas. The paper also summarizes the methodology used for the investment appraisal in the projects that aim at reusing the assets of material heritage. It also explains and gives information about the traditional status of developing countries; that's to clarify the implementation of post-investment assessment techniques on the projects concerned with the preservation of heritage assets in developing countries.

Background: As opportunities grow for resource-constrained countries to use eHealth (digital health) to strengthen health systems, a dilemma arises. Wise eHealth investments require adequate appraisal to address opportunity costs. Economic appraisal techniques conventionally utilised for this purpose require sufficient economic expertise and adequate data that are frequently in short supply in low- and middle-income countries. This paper aims to identify, and, if required, develop, a suitable framework for performing eHealth investment appraisals in settings of limited economic expertise and data., Methods: Four progressive steps were followed: (1) identify required framework attributes from published checklists; (2) select, review, and chart relevant frameworks using a scoping review; (3) analyse the frameworks using deductive and inductive iterations; and, if necessary, (4) develop a new framework using findings from the first three steps., Results: Twenty-four candidate investment appraisal attributes were identified and seven relevant frameworks were selected for review. Analysis of these frameworks led to the refinement of the candidate attributes to 23 final attributes, and each framework was compared against them. No individual framework adequately addressed sufficient attributes. A new framework was developed that addressed all 23 final attributes., Conclusions: A new evidence-based investment appraisal framework has been developed that provides a practical, business case focus for use in resource-constrained African settings.

The use of renewable energy sources, especially wind energy, has been widely developed, mostly during the last decade. The main objective of the present study is to conduct a literature review focused on the evaluation under uncertainty of wind energy investment using the real options approach to find out whether public opposition (NIMBY projects) has been contemplated, and if so, what have been the flexible strategies applied for its intervention. Overall, 97 publications were analyzed, identifying 20 different models or approaches, which were grouped into eight categories: 1. Real options, 2. Optimization, 3. Stochastics, 4. Financial evaluation, 5. Probabilistic, 6. Estimation, 7. Numerical prediction, and 8. Others. The real options approach, present in 32% of the studies, was the most popular. Twenty-eight types of uncertainties were identified, which were grouped, for better analysis, into nine categories. In total, 62.5% of the studies included the price of electricity as a source of uncertainty; 18.8%, the velocity of wind; and 15.6%, the feed-in rates-subsidy. Both random and non-random techniques were applied to assess the real options and to model the uncertainties. When evaluating real options, the Monte Carlo simulation technique was the most preferred, with 16 (51.6%) applications, followed by non-randomized techniques, decision tree, and dynamic programming, with eight (25.8%) applications each. There is a marked tendency to use stochastic processes to model uncertainty, particularly geometric Brownian motion, which was used in 61.3% (19) of the studies in the sample. When searching for "real options AND (nimby OR public opposition)", no study was found, which shows the possibility of developing research on this aspect to determine its impact on investments in wind energy projects. [ABSTRACT FROM AUTHOR]

In the automotive industry, a Body-in-White (BIW) refers to the first step, the basic structure, in the production of a vehicle. Once a BIW production line has been built, the (maximum) capacity is fixed and throughput is therefore limited by the equipment specified during the design phase. The main metric used to inform the production line design is the Net Ideal Cycle Time (NICT). Unfortunately the state of practice to estimate the NICT is a basic heuristic that does not account for production variation. In this paper we challenge the current estimation approach by proposing an alternative that assumes actual production to follow a Weibull distribution. The proposed model is derived and estimated from empirical data. The results suggest that BIW production lines have traditionally been designed with too low a capacity, resulting in planned throughput rarely being achieved. On the other hand, increasing the design capacity implies higher initial investment. In this paper it is demonstrated that the higher investment required is offset by reduced losses, resulting in more reliable planning and returns. [ABSTRACT FROM AUTHOR]

To reduce the Sulphur emission from shipping and ensure clean shipping, a number of Sulphur Emission Control Areas (SECA) were enforced in special areas around the globe. From 2015, in SECA, ship owners are not allowed to use fuel with more than 0.1% Sulphur content. One of the major concerns for the SECA regulation is that maritime stakeholders have had to take into consideration the costs as well as the tolerable risks of their compliance investment options. Besides that, low freight rates have increased the competition and had caused financial pressure on ship owners so that lower capital reserves and low credibility levels limit the manoeuvring space for investment activities.

The use of renewable energy sources, especially wind energy, has been widely developed, mostly during the last decade. The main objective of the present study is to conduct a literature review focused on the evaluation under uncertainty of wind energy investment using the real options approach to find out whether public opposition (NIMBY projects) has been contemplated, and if so, what have been the flexible strategies applied for its intervention. Overall, 97 publications were analyzed, identifying 20 different models or approaches, which were grouped into eight categories: 1. Real options, 2. Optimization, 3. Stochastics, 4. Financial evaluation, 5. Probabilistic, 6. Estimation, 7. Numerical prediction, and 8. Others. The real options approach, present in 32% of the studies, was the most popular. Twenty-eight types of uncertainties were identified, which were grouped, for better analysis, into nine categories. In total, 62.5% of the studies included the price of electricity as a source of uncertainty; 18.8%, the velocity of wind; and 15.6%, the feed-in rates-subsidy. Both random and non-random techniques were applied to assess the real options and to model the uncertainties. When evaluating real options, the Monte Carlo simulation technique was the most preferred, with 16 (51.6%) applications, followed by non-randomized techniques, decision tree, and dynamic programming, with eight (25.8%) applications each. There is a marked tendency to use stochastic processes to model uncertainty, particularly geometric Brownian motion, which was used in 61.3% (19) of the studies in the sample. When searching for “real options AND (nimby OR public opposition)”, no study was found, which shows the possibility of developing research on this aspect to determine its impact on investments in wind energy projects.

In the article the analysis of international data collection systems for analysis of investment projects. Examples of the international statistical, financial and audit organizations publish articles and data which are necessary in the analysis of investment at the level of a single project, and at the level of the country. Analyzes the volume of investments in EU countries and Russian Federation, as well as comparative analysis. In Russia the analysis of dynamics of investments in fixed capital by kinds of economic activities are considered sources of financing. According to the results of the analysis of the findings and practical recommendations for improving the efficiency of the organization's funds.

This study empirically conducts the sensitivity analysis for the determinants of investment appraisal of Pakistani non-financial firms listed at Pakistan Stock Exchange (PSX) across sectors. We employed OLS regression along with common effect and fixed effect model on panel data pertaining to 60 non-listed firms at Pakistan Stock Exchange (PSX) over the period from 2003 to 2015. Empirical results document that leverage, growth, dynamism and inflation have strong positive associations with investment appraisal, however, munificence and GDP influence the process conversely. The study provides useful framework for potential investors to evaluate all these vital factors besides conventional mechanism, prior to making investment decision. Policy makers for non-financial sectors may get benefit by apply this diagnostic model to evaluate prospective investment projects for the most optimistic outcome. Corporate finance literature reveals that there is no formal evidence of determinants of capital expenditure at different levels of economic recessions; therefore, the study is pioneer effort to identify the significant determinants of investment appraisal of Pakistani listed non-financial firms across sectors, eventually, a useful contribution in existing literature.

This paper assesses the economic benefits of 57 World Bank Group-sponsored hydropower dam plant investments. Hydropower dams are among the main sources for producing electricity and the largest renewable source for power generation throughout the world. Hydropower dams are often a lower-cost option for power generation in Clean Energy Transition for addressing global climate change. Despite its conspicuous aspects, constructing hydropower dams has been controversial. Considering the World Bank’s long history as the largest hydropower development financier, this study investigates its performance in supporting hydropower dams. The outcomes of this study apply to the wider hydropower development community. Of the projects in this study, 70% experienced a cost overrun, and more than 80% of projects experienced time overruns, incurring potential additional costs as a result. Despite the high cost and time overruns, this hydropower portfolio of dams produced a present value of net economic benefits by 2016 of over half a trillion USD. Based on our findings, the evaluated hydropower portfolio helped avoid over a billion tonnes of CO2 for an estimated global environmental benefit valued at nearly USD 350 billion. The projects’ additional environmental benefits raise the real rate of return from 15.4% to 17.3%. The implication for hydropower developers is that the projects’ assessment should consider cost and time overrun and factor them into the project-planning contingency scenarios. There is a considerable benefit for developing countries to exploit their hydropower resources if they can be developed according to industry practices and international standards. The case for developing hydropower may be stronger when considering its climate benefits. The net economic benefits of hydropower can be even higher if there is a greater effort to manage cost and time overruns.

Purpose—The purpose of this study is to investigate various aspects of capital budgeting techniques adopted by Kuwaiti non-financial companies listed on the Kuwait Stock Exchange (KSE). Design/methodology/approach—A questionnaire is used to collect data from Chief Executive Officers (CEOs), Chief Financial Officers (CFOs) and other managers of manufacturing, service and real estate companies listed on the KSE. Findings—The result of the analysis unveiled that top management and people who used the assets are the main sources of capital budgeting ideas. The analysis also unveiled that net present value and profitability index are the most frequently used capital budgeting techniques and the choice of the technique is determined by the nature of the project under assessment, and the academic and professional capabilities of corporate staff. The analysis further demonstrated that factors such as uncertainty about the outcome of the capital budgeting techniques and lack of required data and information to use capital budgeting techniques could prevent Kuwaiti non-financial companies from adopting capital budgeting techniques. Finally, the analysis disclosed that non-financial factors such as strategic planning, corporate image, employees’ capabilities and environment protection are taken into consideration when making capital budgeting decisions. Practical implications—Kuwaiti companies either possess technology or have the required resources to install advanced technology to assist them in employing sophisticated capital budgeting techniques that take into account inflation and risk. This would ensure more accurate results and minimize uncertainty about the outcome of the capital budgeting decisions. Originality/value—This study is based on primary data collected directly from non-financial companies listed on the KSE.

The vast majority of corporate finance textbooks presents the problem of investment decisions considering discrete cash flows at the end of each period. However, on several occasions, this assumption does not fit the facts, as in the case of the revenues of large retailers, which tend to be generated almost continuously, instead of at the end of each year. In this paper, we compare the net present value of a typical investment considering both a discrete distribution of expected cash flows and a continuous one. We show that the differences observed depend upon the behavior of the function that describes the cash flows and upon the capital cost used to discount the values. Differences tend to be higher if higher capital costs are used. As a result, riskier projects are more sensitive to the right choice of the cash flow distribution to be used in its appraisal and no method can be considered, a priori, better than the other, as operational, fiscal and accounting aspects may make continuous or discrete cash flows more appropriate to describe practical realities. Thus, the article contributes to better supporting investment decisions and to enriching teaching material addressing the subject of investment decisions. [ABSTRACT FROM AUTHOR]

Traditional methods of investment appraisal have been criticized in the context of climate change adaptation. Economic assessment of adaptation options needs to explicitly incorporate the uncertainty of future climate conditions and should recognise that uncertainties may diminish over time as a result of improved understanding and learning. Real options analysis (ROA) is an appraisal tool developed to incorporate concepts of flexibility and learning that relies on probabilistic data to characterise uncertainties. It is also a relatively resource-intensive decision support tool. We test whether, and to what extent, learning can result from the use of successive generations of real life climate scenarios, and how non-probabilistic uncertainties can be handled through adapting the principles of ROA in coastal economic adaptation decisions. Using a relatively simple form of ROA on a vulnerable piece of coastal rail infrastructure in the United Kingdom, and two successive UK climate assessments, we estimate the values associated with utilising up-dated information on sea-level rise. The value of learning can be compared to the capital cost of adaptation investment, and may be used to illustrate the potential scale of the value of learning in coastal protection, and other adaptation contexts. [ABSTRACT FROM AUTHOR]

Background: South Africa is planning to introduce a carbon tax as a Pigouvian measure for the reduction of greenhouse gas emissions, one of the tax bases designed as a fuel input tax. In this form, it is supposed to incentivise users to reduce and/or substitute fossil fuels, leading to a reduction of CO2 emissions. Aim: This article examines how such a carbon tax regime may affect the individual willingness to invest in greenhouse gas mitigation technologies. Setting: Mathematical derivation, using methods of linear programming, duality theory and sensitivity analysis. Methods: By employing a two-step evaluation approach, it allows to identify the factors determining the maximum price an individual investor would pay for such an investment, given the conditions of imperfect markets. Results: This price ceiling depends on the (corrected) net present values of the payments and on the interdependencies arising from changes in the optimal investment and production programmes. Although the well-established results of environmental economics usually can be confirmed for a single investment, increasing carbon taxes may entail sometimes contradictory and unexpected consequences for individual investments in greenhouse gas mitigation technologies and the resulting emissions. Under certain circumstances, they may discourage such investments and, when still undertaken, even lead to higher emissions. However, these results can be interpreted in an economically comprehensible manner. Conclusion: Under the usually given conditions of imperfect markets, the impact of a carbon tax regime on individual investment decisions to mitigate greenhouse gas emissions is not as straight forward as under the usually assumed, but unrealistically simplifying perfect market conditions. To avoid undesired and discouraging effects, policy makers cannot make solitary decisions, but have to take interdependencies on the addressee´s side into account. The individual investor´s price ceiling for such an investment in imperfect markets can be interpreted as a sum of (partially corrected) net present values, which themselves are a generalisation of the net present values known from perfect markets

This paper is concerned with forecasting traffic accidents at a relatively aggregate level and over a long time period; the sort of information that is required as part of a comprehensive cost-benefit analysis of a major transportation investment or policy change. It is not so focused on appraising the social value of specific safety measures, although some of the points made seem germane. Whereas there has been much ex ante analysis at the meso- and macro-levels looking at the causes of accidents and ways of reducing both their number and severity, much less ex post has been done considering the accuracy of predictions of accident rates after an investment or policy initiative. Given the evidence that exists on the accuracy of traffic forecasts, especially involving oft over-optimistic predictions of public transit and rail use, there is at least a prima facie case for arguing that many investment and policy decisions are being based, in part, on over favorable assumptions with regard to their aggregate safety impacts.