Airport infrastructure spillovers in a network system

Airports in the US air transport network have become increasingly congested, leading to delays for business travelers and freight shipments. Since disruptions in one part of the network exacerbate problems throughout the system, airport infrastructure expansions to enhance air traffic flows confer travel-time savings and reliability benefits, and thus increased worker productivity and shipping efficiency for manufacturing firms. We evaluate such spillovers, and find that higher own-state airport infrastructure implies lower manufacturing costs from both labor- and materials-savings. Airport expansion in connected states has a comparable effect for states with hub airports, and an even greater impact for other states.     

An Integrative Framework for Measuring the Extent to which Organizational Variables Influence the Success of Process Improvement Programmes

abstract    Studies on the three types of process improvement programmes (Continuous Improvement, Reengineering and Benchmarking) have appeared many times in the literature. These studies suggest that certain organizational variables act as enablers and their presence or absence can significantly influence success rates. Such studies have tended to examine companies where a single programme has been implemented. In contrast, this paper examines a sample of companies who have experienced all three programmes. Our aim is to compare and contrast each programme's impact on firm performance and identify which organizational variables are common and which are programme-specific enablers of success. We build and test an integrative framework to support our analysis. Our study found that: (1) Reengineering delivered the greatest impact on performance; (2) executive commitment was needed to make this happen; (3) strategic alignment was the major influence on the success rate of Reengineering and Continuous Improvement programmes; and (4) employee empowerment was necessary for each programme to work effectively.     

BEYOND THE HYPE: INTELLECTUAL PROPERTY AND THE KNOWLEDGE SOCIETY/KNOWLEDGE ECONOMY

Abstract.  This paper explores the debates surrounding whether or not we have now moved into a new knowledge economy and/or knowledge society and if so whether this shift is as significant and as far reaching as the industrial revolution. In this possible transformation the place of information communications technologies has been crucial. Debate has occurred across both economics and sociology with differing emphases as is shown in the ranges of definitions that we review in the paper. One consistent factor is the lack of clarity and consistency between them both within and across the disciplines. In order to explore the issues that the debates raises in a more grounded way, the paper explores them in relation to intellectual property (IP) and the intellectual commons in the process of innovation, growth and economic development. The paper is developed through an analysis first of the industrial revolution and the role within this of uncertainty, technologies, complementarities and elective affinities and the way IP was protected and controlled through patents, secrecy, being first to the market and copyright. The second part of the paper examines definitions of the knowledge economy and society and the role within these of information communication technologies in order to explore whether the ways that IP is protected and controlled have changed. In the debate about the 'knowledge economy and society' the role of innovation via human capital with a greater reliance on intellectual capabilities has been emphasized. The role of IP thus remains central but is now challenged by the rise of new forms of communication, which make its protection harder and move much of the concern with respect to regulation to a global rather than national and local level.     

Group Selection and the Limits to Altruism

Several evolutionary mechanisms have been identified in the literature that would generate altruism in humans. The most powerful (except for kin selection) and most controversial is group selection, as recently analyzed by Sober & D.S. Wilson. I do not take a stand on the issue of the existence of group selection. Instead, I examine the level of human altruism that could exist if group selection were an engine of human evolution. For the Sober & Wilson mechanism to work, groups practicing altruism must grow faster than other groups. I call altruistic behavior that would lead to faster growth efficient altruism. This often consists of cooperation in a prisoner's dilemma. ltruistic acts such as helping a temporarily hungry or injured person would qualify as efficient altruism. Efficient altruism would also require monitoring recipients to avoid shirking. Utilitarianism would be an ethical system consistent with efficient altruism, but Marxism or the Rawlsian system would not. Discussions of efficient altruism also help understand intuitions about fairness. We perceive those behaviors as fair that are consistent with efficient altruism. It is important to understand that, even if humans are selected to be altruistic, the forms of altruism that might exist must be carefully considered and ircumscribed.     

A maximum likelihood approach to estimating dynamic models with unobserved independent variables

A maximum likelihood method to estimate the parameters of dynamic models containing unobserved independent variables is proposed. The approach is to maximize the likelihood of the residuals produced by the recursive Kalman filter equations applied to the model in state-space form. A simulation study is presented comparing the proposed method to the instrumental variable approach. An example using real data is given which estimates models of the Permanent-Income Hypothesis.