Uniform and Non-Uniform Second-Best Input Taxes

We investigate second-best, input-based taxes foragricultural nonpoint pollution control when marketprices are endogenous and production isheterogeneous. Theoretically, we derive the optimalforms of taxes which take account of heterogeneity(non-uniform taxes) and a tax which does not (auniform tax). Empirically, we use a multi-factor,market-equilibrium simulation model to determineoptimal tax rates and associated equity effects,particularly differences in landowner gains/lossesacross a heterogeneous region. When market prices areendogenous, second-best tax policies result inpecuniary externalities that affect existingenvironmental externalities. In particular, thepecuniary externalities amplify the effect of producerheterogeneity on determination of sub-regionaldifferences in tax rates and returns to land,particularly for the uniform policy. With endogenousprices, the uniform tax rate is considerably higherthan any of the non-uniform rates and, ironically, thenon-uniform taxes result in less dispersion oflandowner gains across sub-regions than the uniformtax.     

The Effects of Market Network Heterogeneity on Innovation Diffusion: An Agent‐Based Modeling Approach

Innovations usually have an initial impact on very few people. The period of learning or early evaluation precedes the diffusion of the technology into the wider addressed population. More than a transfer, this is best characterized as communication of benefits, costs, and compatibility with earlier technologies and a relative assessment of the new state of the art. Innovation development by an organization or individual creates not just a device (i.e., process or tacit knowledge) but concomitantly a capacity on the part of other organizations or persons to use, adopt, replicate, enhance, or modify the technology, skills, or knowledge for their own purposes. How innovations actually diffuse is to understand the communication of progress, and this framing helps one to design innovations and also design the marketing and testing programs to ready innovations for market and launch them efficiently. Diffusion theory's main focus is on the flow of information within a social system, such as via mass media and word‐of‐mouth communications. This theory presents often in the form of mathematical models of innovation and imitation. Distinct from classical diffusion models, however, consumers are not all identical in how they connect to others within a market or how they respond to information. We examine the effects of various network structures and relational heterogeneity on innovation diffusion within market networks. Specifically, network topology (the structure of how individuals in the market are connected) and the strength of communication links between innovator and follower market segments (a form of relational heterogeneity) are studied. Several research questions concerning network heterogeneity are addressed with an agent‐based modeling approach. The present study's findings are based on simulation results that show important effects of network structure on the diffusion process. The ability to speed diffusion varies significantly according to within‐ and cross‐segment communications within a heterogeneous network structure. The implications of the present approach for new product diffusion are discussed, and future research directions are suggested that may add useful insights into the complex social networks inherent to diffusion. A simple summary is that discovery of significant prime communicator nodes in a network allows innovation development practices to be better calibrated to realistically multiple market segments.     

Design-Based Properties of Linear Calibrated Estimators of a Finite Population Total

We extend Godambe's famous nonexistence theorem to classes of linear calibrated estimators. We also propose a new method for comparing sampling strategies in the design‐based framework without recourse to simulation.     

Accounting Practices and the Market Valuation of Accounting Numbers: Evidence from Indonesia, Korea, Malaysia, the Philippines, Taiwan, and Thailand

This study examines the relation between stock prices and accounting earnings and book values in six Asian countries: Indonesia, South Korea, Malaysia, the Philippines, Taiwan, and Thailand. The analysis is based on a residual earnings model that expresses the value of the firm in terms of book value and residual income. The model holds for any clean surplus accounting system. However, for finite time horizons, biased accounting may affect model estimates. The six countries examined in this study differ in faithfulness to clean surplus accounting as well as bias (conservatism). The study addresses two questions. First, are there systematic differences across countries in the value relevance of accounting, and are these differences related to accounting differences? Second, are there systematic differences in the incremental and relative information content of book value per share (BVPS) and abnormal (residual) earnings per share (REPS) across the countries, and are such differences related to accounting differences? We find differences across the six countries in the explanatory power of BVPS and REPS for firm values. Explanatory power for Taiwan and Malaysia is relatively low while that for Korea and the Philippines is relatively high. These differences are generally consistent with differences in accounting practice; however, since Korean accounting practice is strongly influenced by tax law, we did not expect the high association for Korea. Second, with respect to the incremental and relative explanatory power of BVPS and REPS, we find BVPS to have high explanatory power in the Philippines and Korea but little in Taiwan. In all six countries REPS has less explanatory power than BVPS in most years. Again, the evidence may be interpreted as suggesting accounting practice affects valuation (with Korea again as the exception). Finally, we provide evidence on the sensitivity of the timing of comparisons of stock prices and accounting values. We find that comparing prices at year-end (even though annual accounting information has not been released at that time), in general, provides the highest correlation between market and accounting numbers.     

The effective use of marketing research consultants

Relatively little has been written about effectively managing the buyer-seller relationship for marketing research services. To provide insights into effectively managing this relationship, a survey of both buyers and sellers of marketing research services was conducted. Major findings were that proper problem definition, a familiarity with research methods by the research buyer, and continuous communication between buyer and seller were critical determinants of a successful consultant relationship. For best results the market research buyer-seller relationship should be treated as a mutually beneficial one, not one of conflict or acrimony.     

Linking learning and effective process implementation to mass customization capability

This study investigates the role of learning and effective process implementation in the development of mass customization capability. Building upon the knowledge-based view of the firm, we argue that internal and external learning are two knowledge-generation routines that contribute to effective process implementation. Effective process implementation, in turn, is a knowledge-based manufacturing capability, which, as a function of internal and external learning, leads to mass customization capability. We employ structural equation modeling to empirically test the effects of learning on mass customization capability, mediated by effective process implementation, using survey data collected from 100 manufacturing plants in 3 industries and 6 countries. Our results provide empirical evidence supporting the proposed model of the effect of internal and external learning on mass customization capability, fully mediated by effective process implementation. This research is one of the first studies to integrate insights from the knowledge-based view of the firm and mass customization. It complements the OM view of mass customization, which to date has largely focused on the technical side, by demonstrating the role of managerial practices and learning in cultivating mass customization capability in a manufacturing environment.     

The averch and Johnson analysis of public utility regulation twenty years later

The Averch and Johnson model of a rate-of-return regulated firm seems to have captivated economists and focused their attention on modest technical inefficiency. Pricing distortions, which were revealed by Welliscz, and the incentive for more extreme technical distortions, which was described by Westfield, are not as widely considered or even understood twenty years after the articles appeared. Analysis using uncertainty and dynamic methods has also failed to treat the full range of rate-of-return implications. To do justice to these original contributions more effort is called for in designing new institutions of public utility regulation.