On choosing which game to play when ignorant of the rules

This paper suggests a theory of choice among strategic situations when the rules of play are not properly specified. We take the view that a “strategic situation” is adequately described by a TU game since it specifies what is feasible for each coalition but is silent on the procedures that are used to allocate the surplus. We model the choice problem facing a decision maker (DM) as having to choose from finitely many “actions”. The known “consequence” of the ith action is a coalition from game f _i over a fixed set of players \(N_i\cup\{d\}\) (where d stands for the DM). Axioms are imposed on her choice as the list of consequences (f ₁,..., f _m ) from the m actions varies. We characterize choice rules that are based on marginal contributions of the DM in general and on the Shapley Value in particular.     

SCALE ECONOMIES OF THE FRANCHISED BUSES AND FERRIES OF HONG KONG, 1948–1998

The privatization of state transport operators has been driven by empirical discoveries in transport economic research of the constant or even diseconomies of scale of these operators. With reference to public records and official statistics, this paper is an initial attempt to examine the scale economies of and output relationship between major bus and ferry operators in Hong Kong during the period 1948–1998. The two franchised bus and two franchised ferry companies each experienced unique scale effects during different periods and correlated with each other in terms of production. The paper will also discuss the possible reasons for this phenomenon and policy concerns related to this finding.     

SENSITIVITY AND UNCERTAINTY ANALYSIS IN MRIO MODELLING; SOME EMPIRICAL RESULTS WITH REGARD TO THE DUTCH CARBON FOOTPRINT

Environmental multi-regional input–output (MRIO) models require large amounts of data that all have their specific uncertainties. This paper presents a sensitivity and uncertainty analysis in order to gain an understanding of the directions in which efforts should be made to reduce these uncertainties. The analyses were carried out for an MRIO model to calculate the Dutch carbon footprint. A sensitivity analysis of the technical coefficients showed that changes in the coefficients in the domestic blocks and in the Dutch import blocks had the largest effects on the calculated footprint. The uncertainty analysis consisting of a Monte Carlo simulation based on probability distributions around the model coefficients showed a relatively low degree of uncertainty in the total Dutch carbon footprint; uncertainties in the carbon emissions allocated to regions, sectors and products were larger. Both analyses showed that, in certain cases, it is justified to apply a partial MRIO analysis.     

Stakeholders' Engagement in Promoting Sustainable Development: Businesses and Urban Forest Carbon

To better understand how businesses' motivation and support for green projects varies by their organizational objectives and characteristics, this study investigates a case of urban forestry carbon credits in a broader context of climate change mitigation efforts. Companies and organizations currently participating in the Chicago Climate Exchange (CCX) were surveyed regarding their perception of consumers' concerns with climate change, attitudes toward government regulations, factors important to their emission management decisions, and their interest in buying and paying premiums for carbon credits sourced from urban forestry. Statistical analysis of the responses reveals noticeable differences among various types of business organizations. The findings are useful for understanding how businesses respond to different kinds of green products and will help in the development of green product markets. Finally, the results will help in developing effective environmental policies that respond well to businesses' objectives and preferences. Copyright © 2011 John Wiley & Sons, Ltd and ERP Environment.     

Productivity and efficiency dynamics in Indian banking: An input distance function approach incorporating quality of inputs and outputs

Banking technology is typically characterized by multiple inputs and multiple outputs that are associated with various attributes, such as different types of deposits, loans, number of accounts, classes of employees and location of branches. These quality differentials in inputs and outputs are mostly ignored in empirical studies. These omissions make the practical value of productivity studies in organizations like banks questionable because quality is a key component of performance. This paper proposes using hedonic aggregator functions (as a tool of aggregating inputs and outputs with quality attributes) within an input distance function framework and analyzes the impact of banking deregulation on efficiency and total factor productivity (TFP) change in the Indian banking industry using panel data for the period 1996–2005. Empirical results indicate that banks have improved their efficiency (from 61% in 1996 to 72% in 2005) during the post‐deregulation period, and the gain in efficiency of state‐owned banks has surpassed that of private banks. Improvement in capital base, as indicated by increased capital adequacy ratio, played an important role in ushering efficiency gain. The return to scale estimate suggests that state‐owned banks are operating far above their efficient scale and cost savings can be obtained by reducing their size of operations. Overall, TFP growth was above 3.5% annually. Both technical progress and technical efficiency change consistently played an important role in shaping TFP growth. Copyright © 2010 John Wiley & Sons, Ltd.