The liquidity of the London capital markets, 1825–70†

This article examines the liquidity of the London capital markets in the decades following the liberalization of UK incorporation law. Using comprehensive stock and bond data, we calculate a measure of market liquidity for the period 1825–70. We find that stock market liquidity trended upwards but bond market liquidity did not increase over the sample period. Stock market liquidity during our sample period was partially influenced by the bond market, rather than fluctuations in economic output. In our analysis of the cross‐sectional determinants of individual stock liquidity, we find that firm size and the number of issued shares were important determinants of liquidity.  Finally, we find little evidence of an illiquidity premium, which is consistent with the view that investors did not price liquidity in this nascent market.     

ECONOMETRIC ESTIMATION OF ARMINGTON IMPORT ELASTICITIES FOR A REGIONAL CGE MODEL OF THE ILLINOIS ECONOMY

One of the main concerns associated with the development and use of regional CGE models is the determination of key parameter values, particularly substitution and other price elasticities. A common problem is the lack of appropriate regional data for econometric estimation. Consequently, it is important to identify key parameters that are likely to be important in determining quantitative results and then to prioritize these for estimation where appropriate data are available. In this paper, the focus is on the estimation of the regional trade (import) substitution parameters, which tend to be important in analysis for regional economies (given their openness to trade). Here, commodity import elasticities for the Illinois economy are estimated and tested in a single region CGE model of the Illinois economy. In our econometric estimation, we apply a model that takes account of market size and distance in estimating the substitutability between commodities produced in Illinois and other US states.     

Forecasting Success on Large Projects: Developing Reliable Scales to Predict Multiple Perspectives by Multiple Stakeholders Over Multiple Time Frames

Our aim is to develop a set of leading performance indicators to enable managers of large projects to forecast during project execution how various stakeholders will perceive success months or even years into the operation of the output. Large projects have many stakeholders who have different objectives for the project, its output, and the business objectives they will deliver. The output of a large project may have a lifetime that lasts for years, or even decades, and ultimate impacts that go beyond its immediate operation. How different stakeholders perceive success can change with time, and so the project manager needs leading performance indicators that go beyond the traditional triple constraint to forecast how key stakeholders will perceive success months or even years later. In this article, we develop a model for project success that identifies how project stakeholders might perceive success in the months and years following a project. We identify success or failure factors that will facilitate or mitigate against achievement of those success criteria, and a set of potential leading performance indicators that forecast how stakeholders will perceive success during the life of the project's output. We conducted a scale development study with 152 managers of large projects and identified two project success factor scales and seven stakeholder satisfaction scales that can be used by project managers to predict stakeholder satisfaction on projects and so may be used by the managers of large projects for the basis of project control.     

Time to re-think engineering design standards in a changing climate: the role of risk-based approaches

The design and construction of the built environment requires explicitly addressing the risk-resilience tradeoff – too weak and the structure may fail, too strong and it will result in excess capacity, cost and embodied energy. This tradeoff is generally managed through the establishment of, and compliance with building standards and codes that often specify the exact methodology by which design parameters shall be calculated from environmental measurements of wind speeds, wave heights, flood levels and other environmental variables. Furthermore, these standards commonly legislate that historical data be used to calculate these design parameters. However, climate science has revealed that in some, if not many cases, these historical datasets may not be representative of future conditions and thus using historical data to develop design parameters for future long-lived infrastructure may increase the likelihood that the risk-resilience tradeoff becomes inadvertently skewed. Hence we now have a conundrum in that engineers are directed to design structures using standards that are based on time series on environmental parameters that we believe in some cases may be unrepresentative of the conditions which structures may face.     

Recent trends and structural breaks in the US and EU15 labour productivity growth

This article examines shifts in labour productivity growth in the US and in Europe between 1970 and 2007 based on econometric tests of structural breaks. Additionally, it makes use of time-series-based projections of labour productivity growth up to 2009 in order to detect breaks depending on confidence intervals of the projections. The identification of structural breaks in the US labour productivity growth is far from obvious. A statistically significant break is found in the late 1990s only if at least the 97.5th percentile of forecasts materializes in the future, which means that despite a clear pick up in productivity growth in the second half of the 1990s, the size of the hump is not large enough compared with past variations to make this change a statistically significant break. However, a significant break point is detected in the mid-1990s for the difference in labour productivity growth between the US and the EU15, even when controlling for the convergence of Europe towards the US productivity levels that has contributed to higher European performance in the early catch up phase. Finally, within Europe, the accumulation of Information and Communication Technology (ICT) capital seems to be related to differences in the shifts in structural labour productivity growth across countries.     

Do increases in energy efficiency improve environmental quality and sustainability?

Governments world-wide increasingly see energy efficiency as an important aspect of sustainability. However, there is a debate in the literature as to whether the impact of improved energy efficiency on reducing energy use might be partially, or more than wholly, offset through “rebound” and “backfire” effects. This paper clarifies the theoretical conditions under which such effects would occur and explores their likely significance using a computable general equilibrium (CGE) model of the Scottish economy. We find that for Scotland a general improvement in energy efficiency in the production sectors of the economy initially produces rebound effects that eventually grow into backfire. Energy use ultimately increases in response to an efficiency gain and the ratio of GDP to CO₂ emissions falls. The economic factors underpinning rebound effects are straightforward: energy efficiency improvements result in an effective cut in energy prices, which produces output, substitution, competitiveness and income effects that stimulate energy demands. However, the presence of strong rebound or even backfire does not mean that efficiency-enhancing policies are irrelevant: rather it suggests that such policies operating alone are insufficient to generate environmental improvements. The implication is that a co-ordinated portfolio of energy policies is required.