Traffic lights and food choice: A choice experiment examining the relationship between nutritional food labels and price

In this paper we investigate how consumers respond to the UK nutritional food label Traffic Light System (TLS). Employing a choice experiment (CE) we find that consumers appear to behave in a manner consistent with our expectations regarding the impact of the TLS. We identify a strong preference on the part of respondents to avoid a basket of goods containing a mix of foods with any “Red” lights. In addition, we find that consumers have a hierarchy of importance in terms of perception of the various nutrients examined and there are clear behavioural differences associated with particular socio-economic characteristics confirming early research on the use of nutrition labels. Overall our results indicate significant heterogeneity in the attitudes and responses of consumers to the TLS nutritional food labels within and across socio-economic strata.     

Family-friendly policies in the workplace and their effect on work–life conflicts in Hong Kong

As in many other big cities, employees in Hong Kong face competing demands from their work and family and are under a tremendous conflict between work and life. Recently, the Hong Kong Special Administrative Region Government has put a lot of effort into promoting family-friendly policies, but the availability and effectiveness of these policies are largely unknown. The social distribution of work–life conflicts across social status and the dimensions of stratification in Hong Kong have already been documented. This paper examines these issues by way of a telephone survey of over 1000 employees in Hong Kong. We argue that certain groups of workers are particularly vulnerable to work–life conflicts, and target interventions must be devised to address their needs. Moreover, we also suggest that a regulatory approach to implementing family-friendly policies must be undertaken once implementation on a voluntary basis has failed, owing to the low availability of family-friendly policies in the Hong Kong workplace. Lastly, we show the effectiveness of three measures – namely flexible work time, a five-day work week and career breaks – in reducing both work–life conflicts and their negative consequences. We argue that more rigorous randomized intervention must be undertaken to provide more conclusive evidence so as to convince employers to implement these policies in their enterprises.     

Smallholder dairy cattle feeding technologies and practices in Tanzania: failures,successes, challenges and prospects for sustainability

In Tanzania, milk production under smallholder farming systems is season sensitive, fluctuations of feeds in both quantity and quality being the major driver. A dry season decline in milk production of over 40% due to feed scarcity is a common phenomenon. Adoption of improved feed production, conservation and utilization technologies and practices in dairy farming communities is poor. This review work was based on a key question which states “Why is adoption of improved dairy nutrition technologies and practices in Tanzania still poor despite being promoted for decades?”. We have shown that major opportunities for curbing dry season animal feed shortage include on-farm optimization of production and use of high yielding pasture varieties including napier grass (Pennisetum purperium Schumach.) and leguminous fodder species. Crop residues in particular maize stover needs to be optimized for effective dry season feeding. The major reasons for low adoption of proven technologies include limited technical knowhow among smallholder dairy farmers augmented by limited extension services and technological costs. For enhancing sustainable uptake; we suggest promotion of on-farm research, public-private partnerships and dairy farmers’ cooperative associations. These are vital for facilitating smooth access to information, investment capital, reliable inputs and markets among the smallholder dairy farmers.     

PURCHASING POWER PARITY IN AFRICAN COUNTRIES: EVIDENCE FROM PANEL SURADF TEST

This study reexamines the validity of long-run purchasing power parity (PPP) hypothesis using a battery of panel unit root tests for 11 developing countries in Africa over the period 1980-2007. Based on the conventional panel unit root tests, we found evidence that the monthly real exchange rates in these countries were mean reverting. By contrast, the series-specific unit root test proposed by Breuer et al. (SURADF) reveals that only six of the 11 RERs series were stationary using the US dollar as reference currency. Additionally, our results reveal that there is stronger evidence of the parity condition with the Rand-based rates than in the other currency-based rates like the US dollar or Euro. We conclude that PPP holds in some, but not all, of the African countries according to the SURADF tests.     

Bayesian Estimation and Selection of Nonlinear Vector Error Correction Models: The Case of the Sugar-Ethanol-Oil Nexus in Brazil

Nonlinear adjustment toward long-run price equilibrium relationships in the sugar-ethanol-oil nexus in Brazil is examined. We develop generalized bivariate error correction models that allow for cointegration between sugar, ethanol, and oil prices, where dynamic adjustments are potentially nonlinear functions of the disequilibrium errors. A range of models are estimated using Bayesian Monte Carlo Markov Chain algorithms and compared using Bayesian model selection methods. The results suggest that the long-run drivers of Brazilian sugar prices are oil prices and that there are nonlinearities in the adjustment processes of sugar and ethanol prices to oil price but linear adjustment between ethanol and sugar prices.     

Managers’ Unethical Fraudulent Financial Reporting: The Effect of Control Strength and Control Framing

In response to numerous recent cases involving materially misstated financial information arising from fraudulent financial reporting, companies, auditors, and academics have increased their focus on strengthening internal controls as a means of deterring such unethical behaviors. However, prior research suggests that stronger controls may actually exacerbate the very opportunistic behavior the controls are intended to curb. The current study investigates whether the efficacy of an implemented control is conditioned on not only the strength of the control (weaker or stronger), but also on how the firm frames the purpose for implementing the control (e.g., monitoring or coordinating). A monitoring purpose frames controls as reducing managers’ opportunities to engage in self-interested behavior, while a coordinating purpose frames controls as facilitating coordination between the firm and its managers. We posit that the efficacy of stronger controls to reduce unethical fraudulent reporting depends on the control frame. Using an experiment, this study investigates the interactive effect of control strength and control frame on managers’ fraudulent reporting decisions. As predicted, our results show that when controls are framed for monitoring purposes, stronger controls result in less fraudulent reporting than weaker controls. Conversely, when controls are framed for coordinating purposes, stronger controls result in more fraudulent reporting than weaker controls. Our results suggest that an inconsistency between the firm’s choice of the control strength and the control frame reduces the efficacy of the implemented control to curb unethical reporting behaviors. Furthermore, supplemental analysis shows that managers’ rationalization helps explain the interactive effect of control strength and communicated control purpose on fraudulent reporting.     

Measuring productivity growth when technological change is biased–a new index and an application to UK agriculture

Productivity growth is conventionally measured by indices representing discreet approximations of the Divisia TEP index under the assumption that technological change is Hicks-neutral. When this assumption is violated, these indices are no longer meaningful because they conflate the effects of factor accumulation and technological change. We propose a way of adjusting the conventional TFP index that solves this problem. The method adopts a latent variable approach to the measurement of technical change biases that provides a simple means of correcting product and factor shares in the standard Tornqvist-Theil TFP index. An application to UK agriculture over the period 1953–2000 demonstrates that technical progress is strongly biased. The implications of that bias for productivity measurement are shown to be very large, with the conventional TFP index severely underestimating productivity growth. The result is explained primarily by the fact that technological change has favoured the rapidly accumulating factors against labour, the factor leaving the sector.     

Application of a double bootstrap to investigation of determinants of technical efficiency of farms in Central Europe

The paper provides one of the first applications of the double bootstrap procedure (Simar and Wilson 2007) in a two-stage estimation of the effect of environmental variables on non-parametric estimates of technical efficiency. This procedure enables consistent inference within models explaining efficiency scores, while simultaneously producing standard errors and confidence intervals for these efficiency scores. The application is to 88 livestock and 256 crop farms in the Czech Republic, split into individual and corporate.

Stochastic Biases in Technical Change in U.S. Agriculture: A Bootstrap Approach

Having argued that the modeling of technical change as a smooth deterministic function of time is likely to misrepresent the true nature of technical change, this paper reexamines biased technical change in U.S. agriculture using a system of share equations with unobserved components errors, with technology treated as a stochastic unobserved variable. Employing data to represent the aggregate output and input of the U.S. agricultural sector over the period 1947–94, significant factor biases were found that appear to be linearly independent and do not appear to be smooth and deterministic. Technical change in U.S. agriculture appears to have been biased toward saving expenditure on labor at the expense of expenditure on intermediate inputs, with some small saving on the expenditure on capital inputs over the entire period 1947‐94. The paper also employs a bootstrapping approach in order to obtain finite sample tests with approximately the correct size under less stringent assumptions about the data generating process than assumed by maximum likelihood (ML) based approaches. Using these finite sample values significantly alters the conclusions reached regarding the nature of technical change. Après avoir démontré que la modélisation du changement technique par une fonction lissée déterministe du temps peut ne pas représenter correctement sa vraie nature, cet papier re‐examine le biais du changement technique dans l'agriculture américaine à partir d'un systè d'équations de parts avec des erreurs non observées et une technologie traitée comme une variable stochastique non observée. A partir de données représentant la production et les intrants agrégés dans le secteur agricole américain sur la période 1947–1994, nous constatons que les biais significatifs sont indépendants linéairement et qui ne sont pas des fonctions déterministes lissées du temps. Le changement technique dans l'agriculture américaine est biaisé en faveur des réductions de dépenses de travail aux dépends des dépenses sur les intrants intermédiaires et montre quelques économies sur les dépenses de capital sur la période 1947‐1994. L'emploi des techniques de bootstrapping permet d'obtenir des tests sur échantillons finis avec des hypothèses moins exigeantes que celles imposées par les approches de maximum de vraisemblance. Les conclusions obtenues à partir de ces tests sont significativement différentes que celles obtenues par les méthodes traditionnelles concernant le changement technique.