Energy efficiency promotion backfires under cap-and-trade

Major climate-cum-energy policies and respective impact projections rest on the widespread belief that increased energy efficiency can be equated with savings in energy use and emissions. This belief is flawed. Due to the rebound effect emissions savings from energy efficiency improvements will be generally less than what is technically feasible, or even be reversed. By means of an analytical general equilibrium model we demonstrate the latter to be true in a case that is both stark and relevant: if electricity generation is subject to a cap-and-trade scheme with partial coverage, increased efficiency of electric devices leads unambiguously to increased carbon emissions. The result implies that a proper distinction between the energy rebound and the carbon rebound is warranted, and that public policy must carefully consider the interactions between energy efficiency promotion and carbon pricing.     

从广告产业发展趋势看当前高校广告教育存在的问题

我国广告产业正处于转型升级之中,大广告产业形态将是产业发展的必然趋势。一方面,是否符合产业发展趋势是衡量我国高校广告教育质量的重要标准,另一方面,我国高等院校广告教育质量的高低将直接影响与制约着我国广告产业的转型与升级。本文旨在从广告产业发展趋势的角度检视当前我国高等院校广告教育存在的问题并提出调整与改进的方法,以使我国高校广告教育能适应产业发展需求,更好更快地推动我国广告产业的转型与升级。     

Economic contribution of French serradella (Ornithopus sativus Brot.) pasture to integrated weed management in Western Australian mixed‐farming systems: an application of compressed annealing*

Sowing phases of French serradella (Ornithopus sativus Brot.) pasture between extended cropping sequences in the Western Australian wheatbelt can sustain grain production through restoring soil fertility and reducing selective herbicide use. The objective of this article is to investigate the profitability of rotations involving this pasture under a variety of weed management scenarios to obtain greater insight into its value for mixed farming systems in this region. A stochastic search procedure, compressed annealing, is used to identify profitable sets of weed management strategies in a simulation model representing a large number of potential combinations of chemical and non‐chemical forms of weed control. In contrast to a continuous‐cropping sequence, the inclusion of a serradella phase in a rotation is profitable at high weed densities and with increasing levels of herbicide resistance. A single year of pasture in the rotation is optimal if resistance to Group A selective herbicides is present at the beginning of the planning horizon, but a three‐year phase is required if resistance to multiple herbicide groups is observed. Sowing a serradella pasture twice over a two‐year phase is also shown to be economically attractive given benefits of successive high weed kills.     

Geographical concentration and the dynamics of countries' specialization in technologies

This paper examines the empirical dynamics of countries' technological specialization in six technology fields using distribution dynamics. In all technology fields innovation activities are performed by relatively few countries and the degree of concentration is fairly stable in time. Intra-distribution dynamics is characterized by persistence of within field countries' specialization levels around or below the mean, while high specialization levels revert towards lower values. This strengthens the case for absorptive capacity. Electronics show some distinctive properties: they have the highest degree of geographical concentration and numerous small countries among those specialized; they also are the least mobile technology field. In a Schumpeterian perspective, this is in line with "creative accumulation".     

Applications of Statistics in the Field of General Insurance: An Overview

This is an expository paper on applications of statistics in the field of general insurance, also called non‐life insurance. Unlike life insurance where advanced statistical techniques have long been part of financial mathematics and actuarial applications, their use is only relatively recent in non‐life insurance. The business model of insurance companies, especially those active in non‐life insurance, has seen dramatic changes over the last 15 years. The aim of this paper is to convince the readers that especially today non‐life insurance is not only an exciting ground to apply existing modern statistical tools but also a fertile environment for new and challenging statistical developments. The activities of an insurance company can be viewed as an industrial process where data management and data analysis play a key role. That is why a fundamental understanding of data‐related issues (such as data quality, variability, analysis and correct interpretation) is so essential to the insurance business. These are exactly the tasks where professional statisticians excel. Also, a better understanding of the field of general insurance by statisticians will promote fruitful exchanges between actuaries and statisticians, thereby helping to bring actuarial and statistical professional societies closer to each other. Selected examples are used to cover the essential aspects of general insurance, and all of them are based on the author's experience. The paper concludes with some remarks on the role of statisticians working in general insurance.     

Competitive balance versus competitive intensity before a match: is one of these two concepts more relevant in explaining attendance? The case of the French football Ligue 1 over the period 2008–2011

The aim of this article is to investigate the determinants of attendance at French football Ligue 1 matches over the period 2008–2011 with an emphasis on examining the effects of both competitive balance and intensity before a match. Competitive balance is measured by the point difference between the two teams concerned by a match in the championship. Competitive intensity is measured by the point difference for the home team in relation to ranks with sporting stakes. Results show that competitive balance has an insignificant impact whereas competitive intensity has a significantly positive impact. Implications are drawn.     

General equilibrium impact of an energy-saving policy in the public sector

We analyse a disregarded environmental policy instrument: a switch in government expenditure away from energy (or other natural resources) and toward a composite good which includes energy-saving expenditure. We first develop two variants of an analytical general equilibrium model. A composite good is produced with constant returns to scale, and energy is imported or produced domestically with diminishing returns, yielding a differential rent to its owners. The government purchases energy and composite goods from private firms. Such a policy unambiguously increases employment. It also raises private consumption and welfare under two conditions: (i) it is not too costly and (ii) the initial share of the resource is smaller in public spending than in private consumption, or the difference is small enough. We then run numerically a model featuring both importation and domestic production of energy (oil, gas and electricity), for the OECD as a whole. Simulations show that employment, welfare and private consumption rise. We provide magnitudes for different parameter values. Earlier versions of this paper have benefited from conference participants at the European Council for an Energy-Efficient Economy, International Society for Ecological Economics World Congress, CIRED seminar and EUREQua environmental economics seminar. We especially thank Michèle Sadoun and two anonymous referees. The usual disclaimer applies.     

Relationship between city size and firm productivity – A new interpretation using the Chinese experience

This paper contributes to the literature on the relationship between city size and firm productivity by focusing on agglomeration, selection (market competition), and sorting (presence of firms with diverse productivity) effects using Chinese firm-level data for 1998–2013. Contrary to the existing literature, our parametric regression estimates from nearly two million firms show that when the selection effect is controlled, productivity advantage in big cities is reversed. This outcome is explained through a quantile regression showing the existence of left-sided sorting (inefficient firms sort themselves to larger cities) in big cities which is not captured in existing empirical literature. We further find that (1) left-sided sorting is stronger in exporters than non-exporters; (2) is also generated mainly in enterprises with high asset-liability ratios; and (3) selection has a positive effect on firm productivity, suggesting that market competition is key in an explanation of the rapid growth of big cities in China.     

Stabilizing consumer choice: the role of ‘true dynamic stability’ and related concepts in the history of consumer choice theory

Abstract

It is often argued that the inability of Arrow–Debreu general equilibrium theory to produce an adequate proof of the stability of the Walrasian price adjustment mechanism was one of the program's most significant failures. This paper will not question this standard interpretation of the history of general equilibrium theory, but makes the case that characterizing the ‘stability’ question in terms of market stability– in particular the stability of the equilibrium price vector in the Walrasian general equilibrium model – actually helped to stabilize the standard model of consumer choice in general equilibrium theory and elsewhere within microeconomics. The problem of the stability of ‘consumer's equilibrium’ was much discussed early in the twentieth century, and it has recently re-emerged in a different guise as the ‘endowment effects’ and ‘reference dependencies’ of contemporary behavioral economics, and yet it disappeared from mainstream discussion during the period 1950 to 1980. This paper argues that shifting the discussion from the intra-agent stability of the individual consumer to the inter-agent stability of the competitive market contributed – despite its ultimately negative impact on general equilibrium theory – to the long period of stable normal science consumer choice theory enjoyed during the middle of the twentieth century.     

Predicting credit card fraud with Sarbanes‐Oxley assessments and Fama‐French risk factors

This research developed and tested machine learning models to predict significant credit card fraud in corporate systems using Sarbanes‐Oxley (SOX) reports, news reports of breaches and Fama‐French risk factors (FF). Exploratory analysis found that SOX information predicted several types of security breaches, with the strongest performance in predicting credit card fraud. A systematic tuning of hyperparamters for a suite of machine learning models, starting with a random forest, an extremely‐randomized forest, a random grid of gradient boosting machines (GBMs), a random grid of deep neural nets, a fixed grid of general linear models where assembled into two trained stacked ensemble models optimized for F1 performance; an ensemble that contained all the models, and an ensemble containing just the best performing model from each algorithm class. Tuned GBMs performed best under all conditions. Without FF, models yielded an AUC of 99.3% and closeness of the training and validation matrices confirm that the model is robust. The most important predictors were firm specific, as would be expected, since control weaknesses vary at the firm level. Audit firm fees were the most important non‐firm‐specific predictors. Adding FF to the model rendered perfect prediction (100%) in the trained confusion matrix and AUC of 99.8%. The most important predictors of credit card fraud were the FF coefficient for the High book‐to‐market ratio Minus Low factor. The second most influential variable was the year of reporting, and third most important was the Fama‐French 3‐factor model R² – together these described most of the variance in credit card fraud occurrence. In all cases the four major SOX specific opinions rendered by auditors and the signed SOX report had little predictive influence.