Natural resource accounting for Indian states — Illustrating the case of forest resources

Our main objective is to set out and apply a SEEA-based methodology to reflect the true value of forest resources in India's national and state accounts. We establish that a “top-down” approach using available national databases is both feasible and desirable from a policy perspective. In this paper, we address four components of value creation in forests: timber production, carbon storage, fuelwood usage, and the harvesting of non-timber forest products. The results of our analysis suggest that prevailing measures of national income in India underestimate the contribution of forests to income. The income accounts of the Northeastern states in particular are significantly understated by these traditional (GDP/GSDP) measures. We are also able to identify some states which performed poorly in the context of our sustainability framework, reflecting natural capital losses due to degradation and deforestation. Our results highlight the need to integrate natural resource accounting into the national accounting framework in order to generate appropriate signals for sustainable forest management and for the conservation of forest resources which are widely used by the poor in India, as well as being significant stores of national wealth.     

Facebook posting activity and the selective amplification of earnings disclosures

This study examines the determinants of Facebook activity levels with a particular focus on Facebook activity around earnings announcements. Facebook activity is generally higher for firms with higher levels of analyst following, individual ownership, and trading volume, indicating that it is responsive to investor demand effects. Facebook activity also increases around earnings announcements, with the increase being largely attributable to posts containing earnings news. In general, therefore, firms use Facebook posts to amplify earnings news. Such activity is selective, however; it is lower for firms with high levels of information asymmetry, for firms reporting earnings that exactly meet the consensus analyst forecast amount, and when the earnings news is negative but the accompanying price movement is positive. Hence, firms appear to use Facebook to manage the level of attention paid to earnings news.     

Forecasting stock market volatility and information content of implied volatility index

This study investigates the incremental information content of implied volatility index relative to the GARCH family models in forecasting volatility of the three Asia-Pacific stock markets, namely India, Australia and Hong Kong. To examine the in-sample information content, the conditional variance equations of GARCH family models are augmented by incorporating implied volatility index as an explanatory variable. The return-based realized variance and the range-based realized variance constructed from 5-min data are used as proxy for latent volatility. To assess the out-of-sample forecast performance, we generate one-day-ahead rolling forecasts and employ the Mincer–Zarnowitz regression and encompassing regression. We find that the inclusion of implied volatility index in the conditional variance equation of GARCH family model reduces volatility persistence and improves model fitness. The significant and positive coefficient of implied volatility index in the augmented GARCH family models suggests that it contains relevant information in describing the volatility process. The study finds that volatility index is a biased forecast but possesses relevant information in explaining future realized volatility. The results of encompassing regression suggest that implied volatility index contains additional information relevant for forecasting stock market volatility beyond the information contained in the GARCH family model forecasts.     

Market ambiguity and individual investor information demand

We examine whether ambiguity in the market leads to an increase in information demand by individual investors. Drawing on the asset-pricing model proposed by Mele and Sangiorgi (2015), which incorporates market ambiguity, we measure individual information demand using daily Google searches and measure market ambiguity using a metric based on the market trades of institutional investors. We find that individual investors increase their information demand during periods of greater market ambiguity. We also provide evidence that information demand from individual investors spikes around earnings announcement days primarily when market uncertainty is driven by net-selling activity. Overall, these results suggest that the disagreement among institutional investors either represents uncertainty or contributes to the uncertainty related to a stock, leading to increased demand for information from individual investors.     

Whither the pin factory? Modern food supply chains and specialization in India

What is the relationship between smallholder participation in modern food supply chains and their degree of economic specialization? We investigate this research question by looking at whether there is a systematic relationship between whether a household grows crops for a supermarket chain—participation in the supermarket channel—and how concentrated among fewer crops are that household's total landholdings and its output. Using longitudinal data from India, we find that there is no relationship between whether a household participates in the supermarket channel and that household's Herfindahl–Hirschman index for land, but there is a robust statistically significant and negative relationship between whether a household participates in the supermarket channel and that household's Herfindahl–Hirschman index for output. These findings hold true at both the extensive margin (i.e., when considering whether a household participates in the supermarket channel) and the intensive margin (i.e., when considering how much of a household's marketed output is sold through the supermarket chain). This suggests that instead of fostering a greater degree of specialization, participation in modern food supply chains might lead to greater diversification.     

Regulatory risk, market uncertainties, and firm financing choices: Evidence from U.S. Electricity Market Restructuring

Based on the universe of rate-regulated electric utilities in the U.S., we examine why firms alter their financing decisions when transitioning from a regulated to a competitive market regime. We find that the significant increase in regulatory risk after the passage of the Energy Policy Act, state-level restructuring legislations, and divestiture policies have reduced leverage by 15 percent. Policies that encouraged competition, and hence increased market uncertainty, lowered leverage by another 13 percent on average. The ability to exercise market power allowed some firms to counter this competitive threat. In aggregate, regulatory risk and market uncertainty variables reduce leverage between 24.6 and 26.7 percent. We also confirm findings in the literature that firms with higher profitability and higher asset growth have lower leverage, and those with more tangible assets are more levered. Firms with greater access to internal capital markets and those with a footloose customer segment use less debt, while those actively involved in trading power in the wholesale market use more debt.     

The valdez principles: Implications for corporate social responsibility

The Valdez Principles have been formulated to guide and evaluate corporate conduct towards the environment. While at first glance the code appears to impose enormous new responsibilities on firms, a closer analysis indicates that existing regulations and business practices already require businesses to meet many of the environmental goals sought by its proponents. Likely corporate response to the code is examined against this background and with reference to the experience with other voluntary codes of conduct. It would appear that compliance with the code will yield minimal benefits and non-compliance will impose minimum costs for the environmentally-responsible firm.Joao S. Neves is Associate Professor of Management at Trenton State College where he teaches various courses in Management. A graduate from the University of Pennsylvania, Dr. Neves has numerous publications in academic and trade journals. His interests include corporate social responsibility and he has contributed to many conferences. Rajib N. Sanyal teaches international management and human resource management at Trenton State College in Trenton, New Jersey. He obtained his Ph. D. from Georgia State University-Atlanta. His writings can be found in International Journal of Value-Based Management, Journal of International Business Studies, and Labor Studies Journal, among others.     

Bribery in International Business in Post-Soviet Union Countries

Data from 1996 to 2016 on perceived levels of bribe taking in 15 post-Soviet Union countries indicate three distinct groups—Russia and seven contiguous countries are most prone to bribe taking, a set of four countries in the southwest less so, and the three Baltic nations are the least corrupt. Public officials in countries that have high economic freedom and human development, are democracies, and proactively adhere to global anti-bribery treaties are less likely to take bribes. The findings show that despite a common recent history, the countries have evolved differently following the breakup. Implications for international businesses are discussed.     

A fractile programming approach with extreme sample estimates of parameters

Abstract This paper investigates the implications of extreme value estimates of net prices in the objective function of a linear programming problem. Analytically, our approach suggests interesting points of comparison between different measures of sensitivity of a linear programming problem, when a specified fractile of the distribution of profits is optimized.
Work done under the National Science Foundation Project GS-1810–420–21–17 at the Department of Economics, Iowa State University.