Estimating the effectiveness of extension information systems using farm trials and subjective probabilities

A method of combining survey data and Dairy Herd Improvement Association (DHIA) records to achieve low cost farm trials is presented. Farm trials and surveys of current practices and production responses are useful to identify yield gaps between expectations predicted from experimental findings and actual field results. Different management schemes can be ranked using subjective probabilities and stochastic dominance to enhance successful implementation of research findings and to increase the feedback between researchers, extension workers, and producers. A survey of current masitis control practices and expected milk yield response is the example. Combining survey results with DHIA records allowed estimating the relationship between somatic cell counts (SCC) and milk yield. Eliciting beliefs about the relationship between SCC and milk yield showed that producers agreed with predictions from the statistical model. Subjective probabilities about SCC and mastitis control practices showed that our sample of experts and producers consistently ranked the different practices but extension agents had no consensus about the the most or least effective ones.     

Organisation vs. culture: Japanese automotive transplants in the US

It has long been argued that the Japanese production organization is culture-bound and therefore not transferable to other countries. This article examines seven major Japanese automobile assembly plants and over 270 Japanese automotive parts suppliers in the US. The successful transfer of Japanese work and production organization in these ‘transplants’ suggests that Japanese production practices are organizational forms which can be uncoupled from Japanese culture and transferred to other countries.     

Discontinuous innovation and supply relationships: strategic dalliances

The authors address the need for supply relationships to generate, support, and respond to discontinuous innovation (DI), noting that established ways of working appear insufficient. The peculiarities of DI are explained and contrasted with well-known concepts within innovation. The need for customer firms to be both closely collaborative with suppliers while also exploring potential, unpredictable DI elsewhere is proposed, by means of strategic dalliances . A model is presented for understanding and exploring this emerging management challenge.     

Cultural influences on the design of incentive systems: The case of East Asia

Arguing that culture moderates the potency of various incentives in motivating employees, we propose a culture-contingent model of incentive system design in this article. Four nation-level determinants of culture are identified: historical events, economic/political structure, geographical location, and language characteristics. Based on evidence found in East Asia, specific propositions that either relate a national characteristic to some cultural attributes or predict how a cultural characteristic favours a particular type of incentive system are generated. The implications of this culture-contingent model for incentive system design in multinational firms are discussed.We would like to thank Donna Randall for her helpful comments on an earlier draft.     

Towards a complete real-time electricity market design

The general design for the real-time electricity market presented in this paper optimizes and prices both real and reactive power simultaneously in an AC setting, where all assets—generation, load and transmission—are allowed to bid and are financially settled at the locational price times energy consumed or produced. The result is that transmission lines are compensated for both capacity and admittance, providing incentives for efficient operation of transmission-related assets such as FACTS devices, if price-taking behavior is assumed. Losses are incorporated into the design and become an operating cost for transmission. The market design is shown to be revenue neutral and, under some assumptions, nonconfiscatory.      

Information–driven trading at the Prague Stock Exchange: Evidence from Intra–Day Data

Many observers argue that informed and insider trading is widespread in the emerging financial markets of transition countries, yet rigorous treatment of this issue has been virtually non–existent. The current paper estimates the extent of informed trading on the Prague Stock Exchange (PSE) using intra–day transaction data. Our estimates confirm that the average share of informed trading is equal to 0.32, which is high relative to developed markets and varies considerably among stocks. Using the Easley et al. (1996) approach on the very best segment of the PSE we obtained a high average probability of informed trading. Since data used in this study cover the period after the major attempts to improve market regulations, our results indicate that the PSE needs further strengthening to recover credibility and to become a real source of corporate financing. JEL classification: G14, G15.     

Are recent segment disclosures of Japanese firms useful?: Views of Japanese financial analysts

Since 1990, the Japanese Ministry of Finance (MOF) has required Japanese firms to disclose segment data in annual financial statements. Using a survey instrument, we examine whether Japanese analysts find these segment disclosures to be useful. Our study finds that analysts perceive that segment data aid them in forecasting consolidated sales and net income. However, results also show that analysts are concerned that Japanese firms do not define segments meaningfully and consistently and are arbitrary in the allocation of common costs. Further, the analysts do not believe that the usefulness of segment data improves when it is audited. These results have implications for investors in Japanese stocks and accounting policy bodies, such as the US Securities and Exchange Commission (SEC).     

Ambient Taxes Under m-Dimensional Choice Sets, Heterogeneous Expectations, and Risk-Aversion

We consider the design of ambient taxes forrisk-neutral and risk-averse polluters whenpolluters and the regulatory agency haveasymmetric information about environmentalrelationships and probabilities associatedwith random events. Unlike prior work, we showthat under these conditions, optimal ambienttaxes must be firm-specific, and accompaniedby additional incentives to influencepolluters' choices of abatement techniques.