Understanding the determinants of investment reactions to decoupling of the Common Agricultural Policy

The objective of this paper is to identify the determinants of the reactions of farm households to the decoupling of the Common Agricultural Policy (CAP) focusing, in particular, on changes in on-farm investment behaviour. The paper analyses a sample of 248 farm-households in 8 EU countries, using a non-parametric approach based on classification tree algorithms. The factors emerging as determinants of an increase in on-farm investment as a reaction to decoupling are: specialisation, existence of a successor, the farmer's age, labour management, SFP per hectare, location and expectations. When used, country variables, tend to substitute some of the factors listed above and become the main predictors, followed by labour endowment, specialisation and expectations. While the study confirms the relevance of the main determinants available from the literature, it also emphasises the articulation (non-linearities) of the effects of farm head age, labour management and SFP per hectare on the reactions to decoupling. This hints at the need for further research on the way such factors combine in determining farm-household reactions to a changing market and policy context, and support the usefulness of non-parametric statistics tools for such types of analysis.     

Real options and cost-based access pricing: Model and methodology

This paper proposes a model and methodology for valuing the option to delay network investment decisions and calculating cost-based access prices. It argues that an option value multiple must be applied to the investment cost component of each network element in order to account for the value of the delay option that is extinguished at the time of investment. Option value multiples are calculated for the investment decision in three main network elements, each representing a different part of the Brazilian fixed telecommunications network, subject to different technological and demand uncertainties. After applying the markup factors, network costs must be assigned to network services on the basis of how much each service uses each network element.     

What explains the lagged-investment effect?

The best predictor of current investment at the firm level is lagged investment. This lagged-investment effect is empirically more important than the cash-flow and Q effects combined. We show that the specification of investment adjustment costs proposed by Christiano et al. (2005) predicts the presence of a lagged-investment effect and that a generalized version of their model is consistent with the behavior of firm-level data from Compustat.     

Tax Competition,Investment Irreversibility and the Provision of Public Goods

This article studies the effects of tax competition on the provision of public goods under business risk and partial irreversibility of investment. As will be shown, the provision of public goods changes over time and also depends on the business cycle. In particular, under source‐based taxation, in the short term, public goods can be optimally provided during a downturn. The converse is true during a recovery: in this case, they are underprovided. In the long term, however, tax competition does not affect capital accumulation. This means that the provision of public goods is unaffected by taxation.     

The Ethics of Online Retailing: A Scale Development and Validation from the Consumers’ Perspective

While e-commerce has witnessed extensive growth in recent years, so has consumers’ concerns regarding ethical issues surrounding online shopping. The vast majority of earlier research on this area is conceptual in nature, and limited in scope by focusing on consumers’ privacy issues. This study develops a reliable and valid scale to measure consumers’ perceptions regarding the ethics of online retailers (CPEOR). Findings indicate that the four factors of the scale – security, privacy, non-deception and fulfillment/reliability – are strongly predictive of online consumers’ satisfaction and trust. The results offer important implications for e-retailers and are likely to stimulate further research in the area of e-ethics from the consumers’ perspective. Sergio Román is an Associate Professor of Marketing at the University of Murcia (Spain). He has been a Visiting Scholar at the University of Arizona. His articles have appeared in the Journal of Business Research, International Marketing Review, International Journal of Market Research, European Journal of Marketing and Journal of Marketing Management. His research interests are focused on personal selling and sales management, international marketing and business ethics.     

Firm size and the adoption of flexible automation

Data on the diffusion of flexible automation systems in the Italian metalworking industry are used to point out the role of size for the adoption of complex, systemic innovations. Plant and firm sizes turn out to be positively correlated to adoption rates. Moreover, adoption is more likely, ceteris paribus, in plants which are part of large industrial groups. This pattern applies in general, and is particularly remarkable for more advanced solutions. In this light, guidelines for industrial policies that focus on financial support, the diffusion of industrial standards, and the correction of asymmetries in the availability of know-how and skills are proposed.Financial support for this paper was provided by the Ministero della Pubblica Istruzione (MPI 40% research funds). Grants from the Fondazione Mauro and the CNR research project Tecnologie Meccaniche are also acknowledged. The research took advantage of the FLAUTO database, set up at the Laboratorio di Economia dei Processi di Automazione, MIP-Politecnico di Milano.     

Using Consumption and Asset Return Data to Estimate Farmers' Time Preferences and Risk Attitudes

The generalized expected utility model is fitted to U.S. farm data to estimate farm operator's time preferences and risk attitudes. The estimated farmer's utility parameters are quite 'reasonable' and exhibit high accuracy. The forward-looking expected utility model is soundly rejected in favor of the generalized expected utility paradigm. Importantly, the generalized expected utility model is also found to fit the data better than the myopic model typically used to study agricultural production under risk. Finally, U.S. farmers' relative aversion to risk appears to have diminished significantly over time.     

Mobile gaming: Industry challenges and policy implications

Mobile games are a prime example of a successful mobile application and demonstrate the increasing range of platforms for the media and entertainment industries. Against this convergent background, this paper introduces the basic features of the mobile gaming market and its industrial ecosystem together with its main actors and activities. The focus of the paper lies in the challenges ahead for the evolution of mobile applications into a potentially dominant game platform and the possible disruptions along this road. The deep personal relationships between users and their mobile devices are considered to further explore the link between mobile games, players’ strategies and pending techno-economic developments. The paper concludes with a brief discussion of some policy options to assist with the development of this domain.     

The effect of output specification on the optimal policy design for electric utilities

We show that the manner in which the production process is seen when analyzing data on electricity production has an impact on the policy conclusions. In particular, we show that the different specifications of output found in the literature can generate quite diverse views regarding regulation and optimal industry structure, even when using the same data to estimate a cost function. To illustrate this we use information gathered from the Spanish Electric Industry and analyze electricity activities following three approaches: the traditional aggregate activity view, the multistage model and the multioutput-multistage approach. We estimate the degree of economies of scale S and derive marginal costs for all models, plus economies of vertical integration (EVI) for the last two ones. Then we compare these results and verify that the aggregate analysis can mislead policymaking.