Effectiveness of minimum tax legislation and its effect on corporate financial reporting: A comparative analysis between the United States and India

This paper reports a comparative analysis of the experience of introducing minimum tax legislation in the US and India. Given the differences in the economic and market settings in the two countries, one would expect the impact of the regulation and the corporate response to its introduction to be different. Our empirical analysis, however, indicates that the response to the minimum tax legislation in India is very similar to that in the US. The evidence indicates that the minimum tax legislation is not the best means of achieving horizontal equity among taxpayers, given its significant administrative and compliance costs and the manipulative reporting response it generates from the corporate sector.     

A perceived reliability-based customer satisfaction model in self-service technology

Technical reliability of self-service technologies (SSTs) has been found to be a strong determinant of satisfaction with tech-enabled services. Yet, the interpretation of the factors affecting reliability and its subsequent influences on customer satisfaction (CS) with SSTs is inadequate. The purpose of this investigation has, therefore, been to demarcate a model to fulfill the gap with an empirical examination, and accordingly a model was developed and tested by applying a global structural equation model. The model results of banking SST users specify how the reliability of SSTs is perceived by the users. The findings have reported that the best predictor of perceived reliability (PRe) is perceived security followed by perceived control. Surprisingly, no significant impact of perceived ease of use was found on PRe. The research also attempted to shed light on the influence of PRe on perceived risk, technology trust, and CS in the light of technology-enabled self-service.     

An Integrated Assessment of Productivity and Efficiency Impacts of Information Technology Investments: Old Data,New Analysis and Evidence

We reexamine the Information Technology (IT) productivity paradox from the standpoints of theoretical basis, measurement issues and potential inefficiency in IT management. Two key objectives are: (i) to develop an integrated microeconomic framework for IT productivity and efficiency assessment using developments in production economics, and (ii) to apply the framework to a dataset used in prior research with mixed results to obtain new evidence regarding IT contribution. Using a stochastic frontier with a production economics framework involving the behavioral assumptions of profit maximization and cost minimization, we obtain a unified basis to assess both productivity and efficiency impacts of IT investments. The integrated framework is applied to a manufacturing database spanning 1978–1984. While previous productivity research with this dataset found mixed results regarding the contribution from IT capital, we show the negative marginal contribution of IT found in an important prior study is attributable primarily to the choices of the IT deflator and modeling technique. Further, by ignoring the potential inefficiency in IT investment and management, studies that have reported positive results may have significantly underestimated the true contribution of IT. This positive impact of IT is consistent across multiple model specifications, estimation techniques and capitalization methods. The stochastic production frontier analysis shows that while there were significant technical, allocative and scale inefficiencies, the inefficiencies reduced with an increase in the IT intensity. Given that the organizational units in our sample increased their IT intensity during the time period covered by the study, management was taking a step in the right direction by increasing the IT share of capital inputs. Our results add to a small body of MIS literature which reports significant positive returns from IT investments.     

Taxation, life-time uncertainty and non-industrial private forest-owner's decision-making

The nonindustrial private forest (NIPF) owner's consumption and harvesting decisions are investigated under inheritance and capital income taxes using a two-period model. The impact of the forest-owner's age is introduced into the analysis through a parameter of perceived probability of surviving through a future period. This allows us to study the impacts of ageing on consumption and harvesting decisions as well as to see how the impact of taxes changes among different age groups of forest-owners. The results show that current consumption first decreases and then increases when moving from younger to older individuals regardless of whether non-timber assets are more or less heavily taxed through bequests than consumption. In general, we find that tax effects are dependent on the forest-owner's age. Age tends to intensify the increasing effect of the forest bequest tax on harvesting. The same is true with respect to the decreasing effect on harvesting of the inheritance tax imposed on non-forest assets. Furthermore, the forest-owner's age tends to intensify the effect on harvesting of the capital income tax imposed on forest assets, but diminishes the effect on harvesting of the capital income tax imposed on non-forest assets.     

Entry liberalization and export performance: a theoretical analysis in a multi-market oligopoly model

This paper is an attempt to demonstrate how the entry (costless) of firms in an industry may have a dramatic effect on exports from an industry in a country. The results have tremendous implications for LDCs suffering from resource and BOP constraints but having reservoirs of cheap labor. The welfare effects of such entry liberalization policy (or subsidy) can be stated from the Bhagwati theorem that a reduction in an only (single) distortion is necessarily welfare improving by reducing monopoly or oligopoly distortions. However, we have shown that the entry liberalization policy is welfare superior to an equivalent subsidy policy where equivalent is defined in terms of the impact on exports. As a by product, we have also shown how one can integrate the oligopoly models of trade with the general oligopoly literature. The results on the limiting behaviour of an open economy oligopoly model extend the standard results in the oligopoly theory in a closed economy.     

Dynamic internet pricing with service level agreements for multihomed clients

With the increase in internet coverage and the decrease in internet access price, the demand for good internet service has grown. Clients expect a guarantee in the quality of service (QoS) during internet access. In this paper, we present a model in which clients are given assurances by service providers to be able to connect to the internet and to get the bandwidth requested, and, if clients do not get the services they request, the service provider pays penalties to the clients. We consider internet clients that can dynamically connect to a number of internet service providers (ISP). When a client arrives at an ISP, he has to decide whether to accept the client, and then the price to charge from the client for the duration of its connection. Rejection of a client results in a penalty and delay in getting the requested bandwidth also incurs a penalty. We assume a Poisson arrival process with the rate of arrival sensitive to the price being charged. A client requests bandwidth for a time that is exponentially distributed, then the client is idle for a time that is also exponentially distributed; and then either the client departs or requests bandwidth again after the idle period is over. A service provider tries to maximize its income by charging appropriate prices based on its current state and deciding whether to accept more clients or not. Since penalties are imposed, such solutions also automatically balance load among service providers, and so the QoS to clients improves. We present solutions that maximize the income of service providers. The solutions are then compared using simulation. Simulation results show that our solutions significantly improve QoS of clients and increase the income of service providers as compared to a simple heuristic based solution that could otherwise be used.