Funding Gaps? Access To Bank Loans By High-Tech Start-Ups

This paper aims to shed new light on start-up financing of new technology-based firms (NTBFs) and the existence of credit constraints that may negatively affect their activity. For this purpose, we analyze the different sources of start-up financing used by NTBFs and investigate several characteristics that may influence the extent of recourse to bank loans. In the empirical section, we consider a sample composed of 386 Italian NTBFs that operate both in manufacturing and services. We estimate double-censored tobit and bivariate tobit models so as to highlight the determinants of (i) the financial leverage, measured by the ratio of bank debt to total capital, and (ii) the amounts of personal capital and bank loans of firms at start-up, respectively. Our findings support the view that the credit market is imperfect and there exists a financing hierarchy. In fact, only a minority of firms resorts to outside financing, and especially to bank debt. In addition, the level of financial leverage is not random; it increases with an increase of the predicted amount of firms’ total initial capital, while it decreases with variables such as the number of owners and the work experience of founders that are indicative of greater personal wealth available to finance firms’ start-up. Lastly, the size of the bank loans obtained by firms generally is small and it is quite insensitive to demand-side factors that instead determine the amount of personal and total capital, with the notable exception of scale economies in the industry of the start-up. In other words, in accordance with the argument that credit to NTBFs is rationed, the loan supply curve is highly inelastic, even though not perfectly so.     

ICT services and small businesses’ productivity gains: An analysis of the adoption of broadband Internet technology

We analyse the impact of the adoption of broadband Internet technology on the productivity performance of small and medium enterprises (SMEs). We distinguish access to the broadband infrastructure from the adoption of complementary services, i.e., different types of broadband software applications. The empirical analysis considers a sample of 799 firms observed from 1998 to 2004 that are representative of the population of Italian SMEs. Our econometric estimates indicate that the impact of the adoption by SMEs of basic broadband applications is negligible (or even negative). Conversely, SMEs are found to benefit from adopting selected advanced broadband applications depending on several contingent factors: (i) their industry of operations (services vs. manufacturing); (ii) the relevance of the specific broadband software applications for SMEs’ industry of operation; and (iii) the undertaking of complementary strategic and organisational changes.     

Imperfect Behavior‐Based Price Discrimination

In this article, we develop a model encompassing behavior‐based discriminatory pricing as a limit case of a more general framework where firms have incomplete information about consumers’ purchase histories. We show that information accuracy has a nonmonotonic impact on profits and the worst situation for firms is when information accuracy is intermediate. We also discuss welfare and consumer surplus implications of information accuracy. Although welfare monotonically decreases with the level of information accuracy, there is an inverse U‐shape relationship between consumers surplus and information accuracy.     

Modelling Intra-Group Relationships

Within a group of companies, a model is given for management of the relationships between the parent company and its subsidiaries. This is particularly relevant for groups originating from mergers and takeovers, because firms acquired often differ substantially in organizational structure from each other and from the parent company. The model provides a means of harmonizing the organizational structures of parent company and subsidiaries, so as to provide a complete coverage of necessary activities without duplication, and a means of identifying which activities should, in economic terms, be centralized by the parent company, and which should be delegated to the subsidiary. Finally, there is an empirical application of the model to one of the principal Italian banking groups.     

Estimating the benefits of water quality improvements under the Water Framework Directive: are benefits transferable?

The Water Framework Directive sets an objective of ‘GoodEcological Status’ for water bodies across the EU. Non-pointpollution from agriculture is a major reason for the failureof rivers in the UK to meet this target. In this paper, we usechoice experiment methodology to test the transferability ofbenefit estimates of water quality improvements for two smallcatchments where agricultural-source non-point pollution andirrigation water abstraction are the main threats to ecologicalstatus. We also investigate the most appropriate techniquesto apply to transfer testing, including allowing for correlationbetween preferences for environmental attributes, and testingfor acceptable differences between transferred and originalvalues.     

Designing Policy for Reducing the Off‐farm Effects of Soil Erosion Using Choice Experiments

Soil erosion produces both on‐site private costs and off‐site social costs, such as desertification, rural depopulation, siltation of waterways and reductions in biodiversity. To design efficient policies, land use planners and decision makers need information on the relative weights of changes in these consequences, since policy alternatives, such as different management restrictions, will have varying impacts on these consequences of erosion. The research presented here uses the choice experiment method to evaluate these relative weights, using a case study in the Alto Genil and Guadajoz watersheds in southern Spain. We find that reductions in desertification, protection of water quality, protection of biodiversity, the area covered by the scheme, and the number of rural jobs safeguarded are all significant determinants of preferences over alternative policy designs.     

Testing Choice Experiment for Benefit Transfer with Preference Heterogeneity

Benefit transfer is a cost-effective method for estimating the value of environmental goods that relies on information obtained in previous studies. The multiattribute approach of choice experiments should provide advantages in terms of benefit transfer, allowing differences in environmental improvements between sites as well as differences in socioeconomic and attitude characteristics between respondent populations. This article investigates the capability of choice experiment method to be used in environmental benefit transfer when a random parameters approach is used to allow for preference heterogeneity: we find that the inclusion of respondents' taste heterogeneity reduces the magnitude of the transfer error.     

How Sure Can You Be? A Framework for Considering Delivery Uncertainty in Benefit Assessments Based on Stated Preference Methods

The economic valuation of benefits resulting from environmental policies and interventions often assumes that environmental outcomes are certain. In fact, these outcomes are typically uncertain. This article proposes a methodological approach to incorporate delivery uncertainty into benefit estimation based on stated preference methods. In the study design of a choice experiment survey on land‐based climate change mitigation, we explicitly include delivery uncertainty as the risk that a proposed mitigation project fails to deliver emission savings. We find that respondents’ preferences do not change significantly after being confronted with choices that included risk of failure. However, failure risk itself does have an important impact on the preferences for delivering emission reductions. We show that delivery uncertainty can have a large impact on stated preference estimation of benefits of public programmes. This result should condition conclusions drawn from ex‐ante environmental cost‐benefit analyses that make use of such benefit estimates.     

Modelling outcome‐related risk in choice experiments

In this study, we introduce information on outcome‐related risk as an additional attribute in a choice model of preferences for a land‐based climate change mitigation project. We provide a comprehensive comparison of different model specifications arising from different behavioural assumptions about the way that respondents process information on outcome‐related risk within the choice task. We find significant differences between several specifications in terms of both model fit and WTP estimates. The behavioural assumptions made when choosing a particular model specification, and reasons that motivate them should be made explicit, and consequences of using different specifications should not be ignored.