Business ethics,economic development and protection of the environment in the new world order

The end of the cold war has elevated environmental issues to the highest level of concern for humanity while creating a world order dominated by the United States of America and other Western nations. This new power structure may likely lead to increased business activity in many parts of the world, as nations formerly preoccupied with the cold war turn their attention to economic development. This paper examines the linkages among ethics, economic development and protection and restoration of the environment in The New World Order.Emily F. Carasco is Associate Professor at the Faculty of Law of the University of Windsor. Her research focus is on international law and family law.Jang B. Singh is Associate Professor at the Faculty of Business Administration of the University of Windsor. His research focus is on ethical issues involved in the management process.     

Farm earnings, educational attainment, and role of public policy: Some evidence from Mexico

Using real household survey data from Mexico, this study evaluates

• 1. 

  (a) the impact of schooling on farm earnings through the “direct” and “allocative” effects of human capital;

• 2. 

  (b) the household demand for children's schooling;

• 3. 

  (c) using macro-level data, the association between children's school-participation and some policy variables.

The overall rate of return to household heads' schooling is estimated at 25%, and for wives, 19%. The allocative effect of schooling of household heads dominates over the direct effect. Mother's schooling and farm size exercise significantly positive effects on household demand for schooling; while in the macro model, policy variables, government expenditure and pupil-teacher ratio appear strong determinants of children's attainment of primary schooling.     

Farmers' Preference for Farming: Evidence From a Nationally Representative Farm Survey in India

Using data from a nationally representative farm survey in India, we have analyzed Indian farmers' stated preference for farming as a profession. Findings show that more than 40% of farmers dislike farming as a profession because of low profits, high risk, and lack of social status, yet they continue with it owing to a lack of opportunities outside agriculture. Farmers who express a preference for moving out of agriculture are mostly those with small landholdings, poor irrigation facilities, fewer productive assets including livestock, and follow a cereal‐centric cropping pattern. They also have relatively lower access to credit, insurance, and information, and are weakly integrated with social networks such as self‐help groups and farmers' organizations. Importantly, the disinclination for farming, conditional on other covariates, is not significantly differentiated by caste, an important indicator of social status in rural India. Yet, within a caste group, the dislike for farming moderates with larger landholdings.     

Online consumer shopping behaviour: A review and research agenda

Over the last two decades, motivated by the continuous evolution of the technology-driven retail environment, researchers have studied various aspects of online consumer behaviour. This article attempts to take stock of this environment to critically assess the research gaps in the domain and provide future research directions. Applying a well-grounded systematic methodology following the TCCM (theory, context, characteristics and methodology) framework, 197 online consumer shopping behaviour articles were reviewed. The findings reveal that the application of theories remains limited in the current pool of literature that focuses more on developed nations. While studies have primarily considered categories such as apparel and grocery, in terms of methodology experimental and survey-based studies were most common. Additionally, the article suggests some future research directions. The use of combined theories to better understand technology acceptance by consumers of online-shopping is recommended. Similarly, studies across other categories like online experiential luxury, luxury services, or second-hand products that then link to novel constructs reflecting issues with payment methods, online service quality, and online store atmosphere are portrayed as meaningful avenues that will advance research in the domain.     

Export performance of emerging market firms

I investigate the export performance of firms from emerging economies based on resource based view (RBV) of a firm. Based on review of extant literature, I identify firm size, research and development expenditure, advertising expenditure and business group affiliation to be important antecedents of level of exporting activities of a firm. I utilize a two-stage least square estimation (G2SLS) on a sample of 47,140 firm-year observations over a period of sixteen years from 1990–2005. The findings suggest that export sales and domestic sales are interdependent and affect each other. R&D expenditure and business group affiliation positively affect export sales, however advertising expenditure negatively affects export sales.     

Industrial relations and organizational behaviour: a critical appraisal1

This paper is concerned with the growth and development of two fields of study which are customarily separated in both theory and practice. Those who specialize in one area, whether as students, teachers or research workers, are not necessarily familiar with, or required to learn, the state of knowledge in the other, although, as we shall show, there is a considerable commonality of interest. To some extent, this situation is an accident of history and the first part of this paper deals with the events and influences leading to the emergence of each field of study. In the second part, common strands and factors leading to the convergence of the two fields are considered. The third section examines the “state of the art” and evaluates current strengths and weaknesses. Finally, an appraisal is made of the direction of likely future trends.     

Devising an electronically supported heritage conservation method for the Valley of Flowers in the Indian Himalayas

The Valley of Flowers is a national park in the Himalayan state of Uttarakhand in India that was classified as a world natural heritage site in 1988. Around 1982, its maximum carrying capacity was fixed at 60 persons per day, which has been called excessive by experts and observers, given the extremely fragile and immensely valuable nature of the Valley's heritage. This, in monetary terms, can be put at millions of dollars, and is considerably more viewed in terms of knowledge of breeding medicinal plants in cold climates that are being affected by climate change, which its microclimate and ecology present. Given the state's poor resources and the fact that tourism is one of the most important industries for development and conservation, this research assesses the heritage value of the Valley and develops a programme for conservation, including a computerised program for permits, whose value can easily be raised from the current paltry Rs 150 per person. Accompanied by fallow periods and marketing through the Internet to aim for educated tourists, the program ensures that the maximum carrying capacity of the Valley is never exceeded, thus spreading out the number of tourists over its 3.5-month season, while allowing flexibility in booking for chance groups and small families that can pay more.     

Institutional underperformance: Should managers listen to the sell-side before trading?

Review of Quantitative Finance and Accounting - This study examines the performance of institutional trades in the context of recent analyst recommendation changes. We report several findings....     

Random matrix application to correlations amongst the volatility of assets

In this paper, we apply tools from random matrix theory (RMT) to estimates of correlations across the volatility of various assets in the S&P 500. The volatility inputs are estimated by modelling price fluctuations as a GARCH(1,1) process. The corresponding volatility correlation matrix is then constructed. It is found that the distribution of a significant number of eigenvalues of the volatility correlation matrix matches with the analytical result from RMT. Furthermore, the empirical estimates of short- and long-range correlations amongst eigenvalues, which are within RMT bounds, match with the analytical results for the Gaussian Orthogonal ensemble of RMT. To understand the information content of the largest eigenvectors, we estimate the contribution of the Global Industry Classification Standard industry groups to each eigenvector. In comparison with eigenvectors of correlation matrix for price fluctuations, only few of the largest eigenvectors of the volatility correlation matrix are dominated by a single industry group. We also study correlations between ‘volatility returns’ and log-volatility to find similar results.