Intellectual property governance and knowledge creation in UK universities

The public discourse advocating increased patenting of academic discoveries, which has led to the approval of legislative measures (such as the Bayh–Dole Act, which is now adopted world-wide in various forms) is based on a set of theoretical arguments, mainly related to knowledge transfer and financial reward. Using an original survey of 46 universities (about 27%) in the UK, we investigate whether some of these arguments are supported by evidence. We focus on the extent to which patents, as opposed to other forms of intellectual property (IP) protection mechanisms, enhance knowledge circulation, and especially contribute to universities’ own knowledge creation processes. We also investigate whether universities consider the markets for ideas and creative expressions to function efficiently. We find that universities use all forms of IP intensively in order to transfer their knowledge to the industry or the government. However, they mainly rely on non-proprietary IP (open-source and no-patent strategies) when aiming to enhance their own knowledge-creation processes. Also, universities do not find that markets for patents or copyrights function more smoothly than non-proprietary IP marketplaces. The results challenge the orthodox theories on the rationales for patents and other proprietary IP rights. Thus, we question the assumptions and arguments underpinning the implementation of patents on academic research outcomes via political reforms since the 1980s.     

Do environmental variables affect the performance and technical efficiency of the European banking systems? A parametric analysis using the stochastic frontier approach

The paper compares the efficiency of the European banking systems in view of the constitution of the European Monetary Union. Since competition among banks will increase, it is important to identify the most efficient banking system able to play a role in that market. A parametric approach is adopted, based on the estimation of a stochastic cost frontier. This methodology enables one to measure X-inefficiency and to model it as a function of environmental variables which may influence firms' efficiency. By means of this analysis it is possible to identify the most efficient banking systems and to focus on the determinants of deviations from cost minimizing. The analysis highlights significant efficiency gaps among the performances of banks in different countries and of different institutional types. In particular, it is found that the Mittel-European model is the one that operates closest to the efficient frontier. This may indicate that, compared with separated banks, the universal banking system allows for production plans which come closer to the optimal frontier. The analysis suggests that, at the beginning of European Monetary Union, national barriers and regulatory frameworks are still responsible for deviation from the efficient frontiers.     

Credit constraints in Italian industrial districts

Italy is characterized by strong differences both in the productive and in the financial structure. Small and medium firms tend to concentrate in the so called ‘Marshallian industrial district’, whose productive system has been thoroughly studied but whose financial features are partially overlooked. This paper aims at investigating how the location of a firm in an industrial district affects its ability to resort to external finance, mostly bank loans. The econometric analysis on a panel of 1700 firms over the 1989–1995 period shows that firms located inside industrial districts have an advantage in terms of financial relations with the banking system: both the cost of credit and the probability to face financial constraints are lower. Nevertheless, the cyclical pattern of this advantage is not in favour of district firms: following the tightening of monetary policy, increases in interest rates on bank loans are proportionally higher for firms inside the district; furthermore, also the advantage consisting in an easier access to credit market disappears after the 1992–1993 recession.     

No more discount under enhanced fair value hierarchy

We use an integrated approach to analyse the reasons behind the discount on the balance-sheet fair value of illiquid financial instruments held by European banks and classified into the Level 3 Fair Value hierarchy under IFRS 7. We believe that the potential sources of misalignment are (1) the lack of disclosure, (2) earnings management, and (3) the lack of liquidity. We show that the discount implicit in market values is linked to the lack of mandatory additional disclosure required by IFRS 7 and that this result supports the strong enforcement activity made by national authorities.     

A marginal-predictive approach to identifying household parameters

Estimation of household parameters in scanner panel data requires the introduction of prior information. Traditionally, prior information is incorporated by restricting parameters to be constant across households or by specifying a random coefficient distribution. An alternative solution is to incorporate stochastic prior information in a formal Bayesian approach. In standard Bayesian analysis, a prior distribution over the model parameters is specified and combined with the household likelihood to obtain the Bayes estimates. The construction of the prior distribution over model parameters may be difficult, especially when working with new models whose parameters are difficult to interpret. In this paper, we propose a solution which specifies prior information through the marginal distribution of the data, i.e., the outcomes. We evaluate this marginal-predictive approach, using both actual and simulated panel data, and show it to be highly accurate relative to other available alternatives.     

Lettere al Direttore

Torino, 27 giugno 1984     

Purchase frequency,sample selection,and price sensitivity: The heavy-user bias

We study the relationship between purchase frequency and volume and choice behavior as summarized by brand preferences and price sensitivity. Our most striking finding is that consumers with high purchase frequency or high purchase volume are much more price sensitive and have more sharply defined preferences for national brands than consumers with low frequency or low volume of purchase. In much of the choice literature, analysis is confined to households that have on average a larger number of purchases than is representative of the ERIM panel. Our findings suggest that some caution should be exercised in interpreting studies that employ purchase-frequency or purchase-number sample inclusion rules. Our findings also support an information theoretic point of view in which households become more price sensitive via costly acquisition of information about the distribution of prices.We acknowledge helpful comments from Greg Allenby and Bob Blattberg. Support from the Micro-Marketing Project at the Graduate School of Business at the University of Chicago is gratefully acknowledged. Byung-Do Kim is the corresponding author.     

The Economics of Low-Income Mortgage Lending

The presumption that mortgage markets for low-income borrowers and neighborhoods are underserved by lenders has led to a variety of increased government interventions on the supply side of the housing market. Although many studies of low-income lending at the neighborhood level have been published, none is from the firm's perspective. We adopt such a framework to test the twin propositions that the low-income mortgage market is no different from the non-low-income mortgage market and that the low-income mortgage market is underserved.We examine empirically whether the operating costs including credit losses, revenues, and profits of savings and loan institutions engaged in more low-income lending differ systematically from those that do less low-income lending. We find that firms engaged in more low-income mortgage lending have higher costs than those engaged in less low-income lending, which is consistent with higher credit risk for low-income loans. Nevertheless, these firms are no more profitable than those that do less low-income lending, which is inconsistent with a market for low-income mortgage lending that is currently underserved.     

Stock prices and volume

We undertake a comprehensive investigation of price and volumeco-movement using daily New York Stock Exchange data from 1928to 1987. We adjust the data to take into account well-knowncalendar effects and long-run trends. To describe the process,we use a seminonparametric estimate of the joint density ofcurrent price change and volume conditional on past price changesand volume. Four empirical regularities are found: (i) positivecorrelation between conditional volatility and volume; (ii)large price movements are followed by high volume; (iii) conditioningon lagged volume substantially attenuates the 'leverage' effect;.and (iv) after conditioning on lagged volume, there is a positiverisk-return relation.     

The board's role in risk disclosure: an exploratory study of Italian listed state-owned enterprises

The determinants of risk disclosure in the annual reports of listed state-owned enterprises (SOEs) have yet to be fully explored. This paper examines the potential impact of the composition of the boards of directors and other company-specific features on risk disclosure levels. The presence of women on a board made a significant difference to risk disclosure, as did the age of board members. Board directors having an accounting or finance/business qualification affected risk disclosure negatively; company size and an internet visibility were positively related to risk disclosure. Although an Italian study, the lessons here will have application to academia and to practitioners, policy-makers and standard-setters worldwide.