An analysis of some aspects of regulatory risk and the required rate of return for public utilities

This paper uses a modification of the continuous time asset pricing model of Cox, Ingersoll, and Ross to analyze the effect of regulatory risk on the cost of capital. Analysis shows that random errors in setting the allowed rate of return can either increase or decrease the cost of capital depending on other regulatory parameters. However, the analysis suggests that regulatory risk is not material.     

Opportunities to reduce road traffic injury: new insights from the study of urban areas

Abstract

Over the past four decades considerable efforts have been taken to mitigate the growing burden of road injury. With increasing urbanisation along with global mobility that demands not only safe but equitable, efficient and clean (reduced carbon footprint) transport, the responses to dealing with the burgeoning road traffic injury in low- and middle-income countries has become increasingly complex. In this paper, we apply unique methods to identify important strategies that could be implemented to reduce road traffic injury in the Asia-Pacific region; a region comprising large middle-income countries (China and India) that are currently in the throes of rapid motorisation. Using a convolutional neural network approach, we clustered countries containing a total of 1632 cities from around the world into groups based on urban characteristics related to road and public transport infrastructure. We then analysed 20 countries (containing 689 cities) from the Asia-Pacific region and assessed the global burden of disease attributed to road traffic injury and these various urban characteristics. This study demonstrates the utility of employing image recognition methods to discover new insights that afford urban and transport planning opportunities to mitigate road traffic injury at a regional and global scale.     

Energy,knowledge and economic growth

It is argued that the explosive growth experienced in much of the World since the middle of the 19th Century is due to the exploitation and use of fossil fuels which, in turn, was made possible by capital good innovations that enabled this source of energy to be used effectively. Economic growth is viewed as the outcome autocatalytic co-evolution of energy use and the application of new knowledge associated with energy use. It is argued that models of economic growth should be built from innovation diffusion processes, unfolding in history, rather than from a timeless aggregate production function. A simple ‘evolutionary macroeconomic’ model of economic growth is developed and tested using almost two centuries of British data. The empirical findings strongly support the hypothesis that growth has been due to the presence of a ‘super-radical innovation diffusion process’ following the industrial deployment of fossil fuels on a large scale in the 19th Century. Also, the evidence suggests that large and sustained movements in energy prices have had a very significant long term role to play.     

Estimating the Heckscher–Ohlin model: Inverting the inverse matrix

This paper estimates the Heckscher–Ohlin model with annual US data from 1949 to 2006 for outputs of manufactures and services with inputs of fixed capital assets and the labor force. Difference equation and error correction regressions provide estimated coefficients for the comparative static system. Tariffs on manufactures primarily raise the capital return in the estimated Stolper–Samuelson results. Factor price equalization does not hold for labor and capital. Inverting the estimated system inverse matrix provides evidence on production. The suggestions are capital biased production of manufactures, strong substitution of capital for labor, and strong labor substitution in manufactures.     

Evolutionary macroeconomics: a research agenda

In this article, the goal is to offer a new research agenda for evolutionary macroeconomics. The article commences with a broad review of the main ideas in the history of thought concerning the determinants of economic growth and an introduction to the evolutionary perspective. This is followed by a selective review of recent evolutionary approaches to macroeconomics. These approaches are found to be somewhat disconnected. It is argued that the ‘micro-meso-macro’ approach to economic evolution is capable of resolving this problem by offering an analytical framework in which macroeconomics can be built upon ‘meso-foundations’, not micro-foundations, as asserted in the mainstream. It is also stressed that the economic system and its components are complex adaptive systems and that this complexity must not be assumed away through the imposition of simplistic assumptions made for analytical convenience. It is explained that complex economic systems are, at base, energetic in character but differ from biological complex systems in the way that they collect, store and apply knowledge. It is argued that a focus upon stocks and flows of energy and knowledge in complex economic systems can yield an appropriate analytical framework for macroeconomics. It is explained how such a framework can be connected with key insights of both Schumpeter and Keynes that have been eliminated in modern macroeconomics. A macroeconomic framework that cannot be operationalized empirically is of limited usefulness so, in the last part of the article, an appropriate methodology for evolutionary macroeconomics is discussed.