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.     

Estimating fundamental and affordable housing price trends: a study based on Singapore

Policy-makers often impose some cooling measures on the housing market when housing prices rise fast. Such policies yield limited success if housing prices are driven up by fundamentals. Estimating a fundamental price trend from observed price data is a challenge. We present an empirical methodology to separate housing price trends into fundamental and affordable components. Deviating from the common practice, we replace current income by a long-run income measure constructed from household incomes at different quantiles. This income measure provides a more suitable basis for constructing affordable house price levels. It also serves as a better fundamental variable, especially for segmented housing markets like that of Singapore. These price trends provide policy-makers with useful information to intervene into property markets to achieve desirable outcomes. Analysing Singapore data using this methodology shows the magnitudes of the price gaps between actual and fundamental prices and how housing affordability fluctuates over price cycles.     

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.     

Rates of return to education and income distribution

Summary This paper examines the relationship between rate of return to education and income distribution with the help of cross-nation data on 30 developing and developed countries. The results indicate that the higher income groups in the society benefit the higher the rate of return to any level of education, and the bottom 40 percent and the middle 40 percent income groups lose; and the disadvantage for the poor income groups is the least at the primary level of education. As higher rates of return to education suggest higher levels of income inequalities, rapid expansion of the education system may reduce income inequalities through decline in rates of return to education. Secondly, it is also argued here that since high income groups benefit from all levels of education, education investments targeted specifically towards the poor may be preferred to overall investment in education.The author is Consultant, the World Bank, Washington D.C., 20433 (USA), while on leave from the National Institute of Educational Planning and Administration, New Delhi. The incisive comments of George Psacharopoulos, Rati Ram, and the Editor(s) of this Journal on earlier versions of this study are gratefully acknowledged. However, the views expressed here and the errors that remain are the responsibility of the author alone and should not necessarily be attributed to anyone else, including the World Bank.     

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.