Holding the Line: A Dynamic Salary Cap for European Association Football

European association football’s domination by a select few teams with the plentiful resources to buy talent exposes how a sports league can develop runaway disparity without the presence of any wage spending controls. With the introduction of the UEFA Financial Fair Play rules to keep teams from furthering their debt, much discussion has ensued on whether these financial laws need to be expanded to address competitive imbalance. While salary cap systems have been proposed before, none have been able to balance the interests of owners, fans, players, and regulators within the European Union. I plan to add to the discussion by reviewing existing proposals and salary cap systems in other leagues such as the NFL and NBA. Although an open market in European football promotes overall talent, the football associations can implement a dynamic salary cap that uses a baseline plus a percentage of team revenue in order to target large spenders while allowing smaller teams to continue growing. Dynamically adjusting the percentage of revenue that teams can spend on player wages accomplishes the flat salary cap’s intent to provide a more even playing field while maintaining the conservative approach of a percentage-of-revenue salary cap to not overstep legal regulations. More balance in competition provides for objectively more entertaining football, but can negatively impact overall talent as players look elsewhere for higher wages. Without further spending restrictions beyond Financial Fair Play, the disparity in European association football between the high revenue clubs with owners willing to spend their own money for talent and clubs struggling to compete will continue to grow, especially in the Premier League, La Liga, Serie A, Bundesliga, and Ligue 1. A dynamic salary cap in European association football can address this growing problem while maintaining the high standard of play that has elevated these national leagues to a global scale

CLIMATE SENSITIVITY OF INDIAN AGRICULTURE

Climate change impact studies on agriculture are broadly based on agronomic-economic approach and Ricardian approach. The Ricardian approach, similar in principle to the Hedonic pricing approach of environmental valuation, has received significant attention due to its elegance and also some strong assumptions it makes. This paper attempts to extend the existing knowledge in this field by specifically addressing two important issues : (a) extent of change in climate sensitivity of Indian agriculture over time; (b) importance of accounting for spatial features in the assessment of climate sensitivity. The analysis based on four decades of data suggests that the climate sensitivity of Indian agriculture is increasing over time, particularly in the period from mid-eighties to late nineties. This finding corroborates the growing evidence of weakening agricultural productivity over the similar period in India. The results also show presence of significant positive spatial autocorrelation, necessitating estimation of climate sensitivity while controlling for the same. While many explanations may exist for the presence of spatial autocorrelation, this paper argued that inter-farmer communication could be one of the primary reasons for the spatial dependence. Field studies carried out in Andhra Pradesh and Tamil Nadu through focus group discussions provided limited evidence in this direction.Climate change, Indian Agriculture, Environmental Valuation, Spatial Econometrics, Adaptation

Knowledge based systems: A preliminary survey of selected issues and techniques

It is only recently that research in Artificial Intelligence (AI) is accomplishing practical results. Most of these results can be attributed to the design and use of expert systems (or Knowledge-Based Systems, KBS) - problem-solving computer programs that can reach a level of performance comparable to that of a human expert in some specialized problem domain. But many computer systems designed to see images, hear sounds, and recognize speech are still in a fairly early stage of development. In this report, a preliminary survey of recent work in the KBS is reported, explaining KBS concepts and issues and techniques used to construct them. Application considerations to construct the KBS and potential KBS research areas are identified. A case study (MYCIN) of a KBS is also provided

Knowledge Based Systems: A Critical Survey of Major Concepts, Issues, and Techniques

This Working Paper Series entry presents a detailed survey of knowledge based systems. After being in a relatively dormant state for many years, only recently is Artificial Intelligence (AI) - that branch of computer science that attempts to have machines emulate intelligent behavior - accomplishing practical results. Most of these results can be attributed to the design and use of Knowledge-Based Systems, KBSs (or ecpert systems) - problem solving computer programs that can reach a level of performance comparable to that of a human expert in some specialized problem domain. These systems can act as a consultant for various requirements like medical diagnosis, military threat analysis, project risk assessment, etc. These systems possess knowledge to enable them to make intelligent desisions. They are, however, not meant to replace the human specialists in any particular domain. A critical survey of recent work in interactive KBSs is reported. A case study (MYCIN) of a KBS, a list of existing KBSs, and an introduction to the Japanese Fifth Generation Computer Project are provided as appendices. Finally, an extensive set of KBS-related references is provided at the end of the report

An hierarchical approach to performance evaluation of expert systems

The number and size of expert systems is growing rapidly. Formal evaluation of these systems - which is not performed for many systems - increases the acceptability by the user community and hence their success. Hierarchical evaluation that had been conducted for computer systems is applied for expert system performance evaluation. Expert systems are also evaluated by treating them as software systems (or programs). This paper reports many of the basic concepts and ideas in the Performance Evaluation of Expert Systems Study being conducted at the University of Southwestern Louisiana

Vulnerability to Globalization in India: Relative Rankings of States Using Fuzzy Models

globalization, vulnerability, fuzzy inference systems, India