The New Age of Innovation: Driving Cocreated Value through Global Networks by C. K. Prahalad and M. S. Krishnan

Books reviewed in this issue:

• ? The New Age of Innovation: Driving Cocreated Value through Global Networks.
• ? Generation Blend: Managing across the Technology Age Gap
• ? Conquering Innovation Fatigue: Overcoming the Barriers to Personal and Corporate Success

     

Globalization and Contemporary Banking: On the Impact of New Technology

Technological innovation has contributed to recent changes inthe conduct and character of banking, but its impact has beencontradictory. First, money-dealing transactions have becomecheaper, but investment costs have increased and a broader rangeof services had to be provided. The cost efficiency of bankshas not improved. Second, banks have developed computationallyintensive, ‘arms length’ techniques to assess creditworthinessand manage risk. Thus, they have been able to generate new revenuestreams from lending to individuals and from fees for moneymarket mediation. This shift has signalled a decline of ‘relational’banking. Third, new technology and related practices have facilitatedthe entry of foreign banks into developing countries, wherethey can exploit ‘arms length’, technologicallydemanding niches in domestic markets. This has not improvedthe efficiency of host banking systems, nor increased the availabilityof credit to the productive sector.     

The set of equilibria of first-price auctions

I specify the class of functions that are equilibria of symmetric first-price auctions. A formula to recover the distribution of valuations for any equilibrium bidding strategy is given.     

Bayesian selection of technology assumptions for the transformation from supply-use to input–output tables

ABSTRACT

In the construction of input–output models from supply-use tables, technology assumptions disambiguate how an industry uses inputs in the production recipe of multiple outputs. This paper uses Bayes' theorem to select technology assumptions, taking into account empirical observations. The paper presents a formulation to explore hybrids between product and industry technology assumptions in product-by-product tables. We then present Markov chain Monte-Carlo techniques to implement the Bayesian method for selecting technology assumptions. We apply the method in a case study using Eurostat supply-use tables of 2004 and 2005, exhibiting a volume of secondary products of less than 13%, and 59 products and industries per country. The results show that the choice of technology is not important, given that there is no strong evidence in favour of any of them.     

Maximum entropy: a stochastic frontier approach for electricity distribution regulation

The literature on incentive-based regulation in the electricity sector indicates that the size of this sector in a country constrains the choice of frontier methods as well as the model specification itself to measure economic efficiency of regulated firms. The aim of this study is to propose a stochastic frontier approach with maximum entropy estimation, which is designed to extract information from limited and noisy data with minimal statements on the data generation process. Stochastic frontier analysis with generalized maximum entropy and data envelopment analysis—the latter one has been widely used by national regulators—are applied to a cross-section data on thirteen European electricity distribution companies. Technical efficiency scores and rankings of the distribution companies generated by both approaches are sensitive to model specification. Nevertheless, the stochastic frontier analysis with generalized maximum entropy results indicate that technical efficiency scores have similar distributional properties and these scores as well as the rankings of the companies are not very sensitive to the prior information. In general, the same electricity distribution companies are found to be in the highest and lowest efficient groups, reflecting weak sensitivity to the prior information considered in the estimation procedure.

     

Optimal selling mechanisms for multiproduct monopolists: incentive compatibility in the presence of budget constraints

We analyze the nonlinear pricing problem faced by an incomplete information monopolist operating in a market populated by agents with budget constraints. We show that if other goods are available and if the monopolist's goods are nonessential relative to other goods, then there exists an optimal, individually rational, and incentive compatible selling mechanism for the monopolist (Theorem 1). Moreover, we show that a solution to all such nonlinear pricing problems exists if and only if the monopolist's goods are nonessential (Theorem 2). In the absence of nonessentiality, we show that if the monopolist's profit function is independent of quantity (e.g., if all costs are fixed), then an optimal selling mechanism exists (Theorem 3). Finally, we show that if there is reporting (of types by agents) and partial recognition of types (by the monopolist), then an optimal selling mechanism exists, even in the absence of nonessentiality, provided agents' utility functions are affine and continuous in goods (Theorem 4).     

Price Discrimination with Private and Imperfect Information

In this paper, I investigate the competitive and welfare effects of the improvements in information accuracy in markets where firms can price discriminate after observing a private and noisy signal about a consumer's brand preference. I show that when firms believe that consumers have a brand preference for them, then they charge more to these consumers, and this price has an inverse U‐shaped relationship with the signal's accuracy. In contrast, the price charged after a disloyal signal has been observed falls as the signal's accuracy rises. While industry profit and overall welfare fall monotonically when price discrimination is based on increasingly more accurate information, the reverse happens to consumer surplus.     

Are there nonlinear relationships between the profitability of Portuguese service SME and its specific determinants?

Using quantile regressions, this paper examines the possibility of significant nonlinear relationships between the profitability of Portuguese service small- and medium-sized enterprises (SMEs) and its specific determinants. The results lead to the conclusion that there is a significant nonlinearity between specific determinants and profitability in Portuguese service SMEs. In the lower quantiles of the distribution of profitability of Portuguese SMEs, it is found that profitability on the one hand is catalysed by size, long-term debt and managerial control, and on the other hand, it is restricted by risk and research and development intensity. In the upper quantiles of the profitability distribution of Portuguese service SMEs, liquidity and research and development intensity serve as catalysers of profitability, while long-term debt restricts the level of profitability.     

Macro‐Hysteresis Test for Brazilian Exports of Manufactured Products: A threshold Panel Approach

This study tests for macro‐hysteresis in Brazilian exports of manufactured products using a panel model with threshold parameters according to Hansen. To test hysteresis, the threshold variables are built based on studies by Parslei and Wei, and Penkova. There is evidence of asymmetrical responses, with more pronounced increases in the price elasticity of demand during periods of high depreciation of the exchange rate compared with periods of more pronounced currency appreciation. We also estimate the relative price intervals that correspond to the inaction band.