Interplay between ethanol and electric vehicles as low carbon mobility options for passengers in the municipality of São Paulo

The Brazilian cities as well as many of the large urban centers in the world continue to expand, increasing the demand for mobility and transport, while, at the same time, the same cities are investing in greenhouse gas (GHG) mitigation to avoid climate change. Brazil's urbanization rate increased from 26% in 1940 to almost 70% in 1980. During this period, the Brazilian population tripled and the urban population multiplied by seven. In 2010, the transport sector in São Paulo accounted for 71% of the total emissions released by the energy sector. Ethanol has been considered a fuel with less greenhouse gas emissions, when compared with fossil fuels. However, ethanol production would have to double to meet the expected demand. Electric vehicles (EVs) market is expanding around the world, and is also an option to reduce the transport emissions, if powered by clean electricity. To assess whether the adoption of EVs might bring more benefits than the current ethanol, we develop prospective scenarios supported by the Long-range Energy Alternatives Planning (LEAP) simulation tool, taking a bottom-up tank-to-wheel approach to consider the CO₂ emissions of car in São Paulo. The scenario considering a substitution of 25% of gasoline-powered cars by EV in 2030 showed a reduction in energy consumption and CO₂ emissions, around 15% and 26% respectively in that year in comparison with 2015. We discuss the interplay between ethanol and EV, also considering emission coefficients from life cycle analysis conducted in Brazil, and concluded EV will have higher positive impact on climate change mitigation than ethanol.     

Exploring the expectations of transport professionals concerning the future automobility system: Visions,challenges, and transitions

A mixture of potentially significant changes in technology, commercial structures, and social practices is currently entering the automobility system. These changes have the potential to combine together and lead to a substantial shift in the manner in which society fuels, owns, and makes use of its cars. This paper reports a research project that made use of focus groups to examine the narratives of British transport professionals concerning forthcoming developments in the automobility system. Specific attention was given to what the expectations for future change in automobility are, if these changes will likely lead to a transition toward a more sustainable system and the manner in which a transition of this nature could be facilitated. The oral testimony offered during the focus groups has been assessed qualitatively using thematic analysis. The results suggest that there is a commonly held view that the automobility system is entering a stage of flux, which may lead to considerable changes in system configuration. However, the attainment of a sustainable transition for the system will likely be inhibited by a series of institutional, societal, and physical barriers, which may restrict system developments.     

Variable Selection in Cross‐Section Regressions: Comparisons and Extensions

Cross‐section regressions often examine many candidate regressors. We use multiple testing procedures (MTPs) controlling the false discovery rate (FDR) — the expected ratio of false to all rejections — so as not to erroneously select variables because many tests were performed, yielding a simple model selection procedure. Simulations comparing the MTPs with other common model selection criteria demonstrate that, for conventional tuning parameters of the selection procedures, only MTPs consistently control the FDR, but have slightly lower power. In an empirical application to growth, MTPs and PcGets/Autometrics identify similar growth determinants, which differ somewhat from those obtained by Bayesian Model Averaging.     

SALES,INVENTORIES AND REAL INTEREST RATES: A CENTURY OF STYLIZED FACTS

We use Bayesian time‐varying parameter structural vector autoregressions with stochastic volatility to investigate changes in reduced‐form and structural correlations between inventories and either sales growth or the real interest rate in the USA during both the inter‐war and post‐World War II periods. We identify four structural shocks by combining a single long‐run restriction to identify a permanent output shock with three sign restrictions to identify demand‐ and supply‐side transitory shocks. We show that during both the inter‐war and post‐war periods the structural correlation between inventories and real interest rate conditional on identified interest rate shocks is systematically positive; the reduced‐form correlation between the two series is positive during the post‐war period, but in line with the predictions of theory it is robustly negative during the inter‐war era; during that era the correlations between inventories and either of the two other series exhibit a remarkably strong co‐movement with output at business cycle frequencies. Copyright © 2014 John Wiley & Sons, Ltd.     

Assessing the Effects of Climate Change Regulations on the Business Community: A System Dynamic Approach

Based on the business environmental literature and system dynamics, this paper develops a simulation model for managing the business risks derived from climate change. In particular, the purpose of this paper is to transform the valuable findings from the literature regarding climate change and corporate implications into an effective business management model with a broad applicability, regardless of the size of the business or the sector in which it operates. A methodology consistent with the basic principles of the system dynamic modeling process is developed, and a case study is designed to determine the level of completeness of the simulation model and its ability to address different aspects of business performance. To do so, three different scenarios have been simulated to analyze the reactive, proactive and inactive stance of managers against climate change risks. Copyright © 2017 John Wiley & Sons, Ltd and ERP Environment     

Short Sales and Price Discovery in the Hong Kong Real Estate Market

Indirect real estate (IRE) returns are often shown to lead direct real estate (DRE) returns. Apart from differences in liquidity, transaction costs, and management skills, the DRE market is also less complete than the IRE market—when negative shocks arrive, one can only short IRE (e.g., real estate stocks or REITs), but not DRE. This study investigates if short sales in the IRE market convey any information to the DRE market. Based on high‐frequency (weekly) property price data in Hong Kong from 2000 to 2012, we find that short sales in the IRE market led DRE returns, even after controlling for the lagged IRE returns in a VAR model. This supports an information spillover mechanism in which the DRE market learns private information that is not reflected in IRE returns. The spillover effect, however, weakened after the recent global financial crisis because the increased uncertainty over the credibility of individual firms made short sales more reflective of firm‐specific information than real estate market fundamentals.     

Life‐Cycle Consumption and Children: Evidence from a Structural Estimation

I estimate by maximum likelihood a dynamic model of optimal intertemporal allocation of consumption in the presence of children using high‐quality Danish longitudinal data. The number and age of all children can affect the marginal utility of consumption while income uncertainty, credit constraints and postretirement motives also influence household behaviour. While I estimate that children have a surprisingly small effect on the marginal utility of non‐durable consumption, data simulated from the estimated model replicates similar correlations between log consumption growth and changing household composition as found in the Danish data and typically found in UK and US data. To reconcile the results with existing studies, I illustrate how ignoring precautionary motives increases the estimated importance of children. The results indicate that precautionary motives might play a larger role than children in explaining the observed consumption age profile.     

Inside the Crystal Ball: New Approaches to Predicting the Gasoline Price at the Pump

Appropriate real‐time forecasting models for the US retail price of gasoline yield substantial reductions in the mean‐squared prediction error (MSPE) at horizons up to 2 years as well as substantial increases in directional accuracy. Even greater MSPE reductions are possible by constructing a pooled forecast that assigns equal weight to five of the most successful forecasting models. Pooled forecasts have lower MSPE than the US Energy Information Administration gasoline price forecasts and the gasoline price expectations in the Michigan Survey of Consumers. We also show that as much as 39% of the decline in gas prices between June and December 2014 was predictable. Copyright © 2016 John Wiley & Sons, Ltd.