Choice of Diversification Strategies in an Emerging Market: Evidence from Indian Manufacturing Industries

The study seeks to measure the strategic choice of industries over different dynamic phases in the Indian economic environment. The total sample of 536 companies has been divided into 14 industries as per Standard Industrial Classification (SIC) codes. The paper also categorizes companies as per the cyclical changes in the economy, that is, growth, cyclical, and defensive industries. Evidence suggests that choice of diversification is industry specific and concurrently affected by the environmental conditions prevailing in the emerging economy. Food and beverages, plastic/rubber, and electrical equipment industries follow higher categories of diversification than other industries.     

Contingent Valuation and Actual Behavior: Predicting Connections to New Water Systems in the State of Kerala, India

In 1988, families in Kerala State in India were surveyed toascertain their willingness to pay for household connectionsto a piped water supply system. In 1991 the families in thesecommunities were surveyed again and their actual decisions recorded.This article explores the validity of the findings of the 1988study on the basis of actual behavior. It looks at the questionof benefit revelation: did people behave as they said they would?And it looks at the question of benefit transfer: did peoplein one site behave as they were predicted to behave, on thebasis of the predictions of a behavioral model for a differentsite? The data were also used to analyze the policy relevanceof behavioral modeling.     

Intermediate goods and the incidence of the corporation income tax

Intermediate goods are introduced into a general equilibrium model of the incidence of the corporation income tax. Several theoretical conclusions about the role of such goods are established. Many well-known propositions about the incidence of the corporation income tax, emanating from models with only final goods, need to be modified. Estimates from U.S. data suggest that if intermediate goods are left out results will be misleading, especially if these goods are a relatively large sector in the economy and possibilities of substituting capital for labor in their production, and of substituting them for other productive factors in the final-good industries, are rather limited.     

The effect of environmental regulations,top management commitment,and organizational learning on green product innovation: Evidence from automobile industry

This paper proposes and empirically examines a model to investigate the effect of environmental regulations, top management commitment (TMCO) and organizational learning toward green product innovation (GPI). The proposed theoretical model, grounded in dynamic capabilities view (DCV) and upper echelons theory, is analyzed by Partial least squares (PLS) method using the data from Indian automotive manufacturing firms. The findings indicate the importance of TMCO and organizational learning for implementing GPI (in response to regulations), and achieve desired performance. Further, organizational learning fully mediates between commitment of top management and GPI. The findings can be useful for managers in automotive manufacturing firms who are interested toward implementing GPI. The paper contributes to green innovation literature by empirically examining the role of TMCO and organizational learning for GPI.     

Green process innovation and operational performance: The role of proactive environment strategy,technological capabilities,and organizational learning

With increase in the focus on environmental protection, firms are integrating sustainability issues in process and product innovations. Firms can contribute toward sustainability and also improve operational performance through green innovation practices. However, the adoption of green innovation practices depends on the proactivity of top managers toward environment management. In this paper, we study the relationships between proactive environment strategy, green process innovation (GPRI), and operational performance. Further, we examine the mediating effect of dynamic capabilities (DCs) (technological capabilities and organizational learning) between GPRI and operational performance. The proposed framework is tested by data collected from the Indian manufacturing industries and using partial least squares (PLS) technique. The findings demonstrate proactive environment strategy as an important antecedent for GPRI practices. Second, technological capabilities and organizational learning mediate between GPRI and operational performance. The results of the study are useful for managers in the manufacturing firms, who are interested to implement GPRI practices or who are in the early stage of implementing the GPRI practices.     

Value-added tax and the theory of tax incidence

A value-added tax is examined in a general-equilibrium model of tax-incidence incorporating primary factors and intermediate goods. Production coefficients are variable and demand is elastic. The principal result is that under assumptions of fixed coefficients and inelastic demand which have been commonly employed in the literature, VAT as well as the corporation income tax will be neutral. In the more general setting of this paper, only VAT, applied to every industry at equal rates, will not affect relative factor and commodity prices. Incidence and other economic effects of a partial VAT are also discussed.     

ACCRUED CAPITAL GAINS, PERSONAL INCOME AND SAVING IN THE UNITED STATES, 1948–1964

Capital gains are an important source of personal income in the United States but they are not included in the national accounts or the official estimate of personal income and saving. Individuals report their realized gains for tax purposes but the economic theorist would include both realized and accrued gains in income. National income theorists continue to debate whether capital gains should be included in income but, because of the many conceptual and statistical problems involved in estimating capital gains, no satisfactory estimates have been developed. Consequently, the debate has stayed mainly at the theoretical level. This paper deals with the methodology of estimating accrued capital gains. A simple analytical model is developed to estimate capital gains from data on market value and net acquisitions of an asset but the model can be adapted to incorporate asset prices directly. It is shown that the methods used for estimating accrued gains in the past are special cases of the model proposed in the paper. The model is then used for estimating gains accruing to individuals in the United States on their holdings of corporate stock, real estate and livestock during 1948–1964.
During this period accrued gains have amounted to roughly five times the realized gains reported for tax purposes; corporate stock and real estate are the most important sources of capital gains and corporate stock accounts for almost two-thirds of all accrued gains. The paper goes on to examine the implications of these estimates for the existing series on personal income and saving in the United States. The inclusion of accrued gains would increase the variance in the official estimates but personal saving is affected more than personal income. The paper concludes with an evaluation of these results and some suggestions for further research.     

Performance evaluation inflation and compression

We provide a behavioral account of subjective performance evaluation inflation (i.e., leniency bias) and compression (i.e., centrality bias). When a manager observes noisy signals of employee performance and the manager strives to produce accurate ratings but feels worse about unfavorable errors than about favorable errors, the manager’s selfishly optimal ratings will be biased upwards. Both the uncertainty about performance and the asymmetry in the manager’s utility are necessary conditions for performance evaluation inflation. Moreover, the extent of the bias is increasing in the variance of the performance signal and in the asymmetry in aversion to unfair ratings. Uncertainty about performance also leads to compressed ratings. These results suggest that performance appraisals based on well-defined unambiguous criteria will have less bias. Additionally, we demonstrate that employer and employee can account for biased performance evaluations when they agree to a contract, and thus, to the extent leniency bias and centrality bias persist, these biases hurt employee performance and lower firm productivity.