Fifty shades of food: The influence of package color saturation on health and taste in consumer judgments

When evaluating food products, consumers rely on visual cues on packages to infer their healthiness and tastiness. We assumed that color, specifically color saturation, is one such cue, similarly relevant for both healthiness and tastiness inferences. We conducted three studies in which we manipulated the color of pictures of product packages. Participants viewed pictures from the category of snacks (Study 1a) and drinks (Studies 1b and 2), available at a supermarket's online store and rated each product on the dimensions of healthiness and tastiness. In two studies, we showed one group of participants product pictures only as grayscale images, whereas another group viewed the pictures in full color. In a third study, we showed participants product pictures once with increased and once with decreased color saturation. We consistently found a positive correlation between healthiness and tastiness. Presenting pictures of products as grayscale images weakened the healthy-tasty correlation. Products with increased compared with decreased color saturation were rated as both healthier and tastier, mediated by the products' perceived freshness.     

Performance of French destinations: Tourism attraction perspectives

In this paper, we assess and compare the performance of French tourism destinations, using the Data Envelopment Analysis (DEA) two-stage procedure, where in the first stage the efficiency score are calculated, and then followed in the second stage by a bootstrapped truncated regression model. In the context of France such analysis takes an additional importance, especially as the country is expected to face a decrease in its tourism competitiveness. A discussion in terms of D-attraction and E-attraction is also proposed and policy recommendations are derived.     

The Determinants of Entrepreneurial Intention of Young Researchers: Combining the Theory of Planned Behavior with the Triple Helix Model

Although the theme of academic spin‐off has received increasing consideration in entrepreneurship literature, little attention has been devoted to identifying the factors that drive young researchers to set up ventures based on the results of their research. To identify the determinants of academic entrepreneurial intention (AEI), we tested a model on a sample of Italian researchers using structural equation modeling and integrating the Triple Helix Model with the theory of planned behavior (TPB). The findings highlight that all psychological variables of TPB are relevant in predicting AEI, whereas only some contextual and exogenous variables (namely, government and industrial/financial support) directly influence AEI.     

A Nested logit approach to modelling the location of foreign direct investment in the Central and Eastern European Countries

This paper applies the Nested logit model to a three-level dataset in order to examine the factors explaining foreign investment location decisions into 13 Central and Eastern European Countries (CEECs) over an eleven-year period between 1997 and 2007. The three-level dataset allows firm, industry and country factors to simultaneously determine the firm-level investment location decisions. The Nested logit model partially relaxes the assumption of the independence from irrelevant alternatives and tests if national boundaries affect the choice of investment location of multinational enterprises in the CEECs. In addition, the Heteroskedastic Extreme Value model is used to help identify an appropriate nesting structure. Empirical results show that the responsiveness of the firms' decision regarding where to locate capital in the CEECs to country-level variables differs both across sectors and across firms of different sizes and profitability.     

Keeping sustainable innovation on a leash? Exploring incumbents’ institutional strategies

This research aims to identify the institutional strategies of incumbent firms with regard to sustainable energy innovations that threaten their interests. This exploratory study contributes to the multi‐level perspective by providing new insights into niche–regime interaction. The focus on actor behavior in transitions is informed by literature from institutional theory and strategic management. Based on semi‐structured interviews with actors and on documents related to LED lighting and biofuels in the Netherlands, this study identified a preliminary set of empirical strategies: providing information and arguments to policy makers and the general public, as well as strategically setting technical standards. Incumbents are in a position to significantly influence the innovation's development by employing these strategies; thus temporarily keeping sustainable innovation on a leash. Copyright © 2013 John Wiley & Sons, Ltd and ERP Environment     

Does democracy affect taxation and government spending? Evidence from developing countries

Focusing on developing countries in three geographical areas (South-East Asia, Latin America and European Union), we explore the relation between political variables and tax revenue, public spending and their structure. We build a new dataset for the 1990–2005 period with fiscal, political and socio-economic variables. Since democracy is a complex and multidimensional concept, we measure it using two variables, the political strength of democratic institutions, and the protection of civil liberties. We perform three sets of estimates: (i) cross-country pooled OLS regressions with region fixed effects, (ii) country fixed effects regressions and (iii) region specific regressions with country fixed effects. While the first model delivers some significant correlations between political variables and tax items, when controlling for country fixed effects we find that tax revenue and tax composition are in general not significantly correlated with the strength of democratic institutions and the protection of civil liberties. The only exceptions are indirect, trade and property taxes. A similar result applies to public spending, with the exception of defense expenditure. Overall, our findings cast some doubt on the exact public policy channels through which political institutions affect economic development.     

Estimating the household consumption function in Saudi Arabia: an error correction approach

ABSTRACT

We estimate a micro-founded life-cycle consumption model for Saudi Arabia over the period 1970–2017 using error correction model procedures. Dynamic adjustments are significant, and both income and wealth are found to have significant effects, with a long-run marginal propensity to consume out of the income of 0.95 and out of the wealth of 0.06. The sensitivity of consumption to income and wealth, as well as the estimated short-term effects of price and real interest rate, are consistent with the rapidly growing Saudi economy. By capturing the key determinants of the life-cycle model, our approach is useful for the design of macroeconomic policy. We estimate the impact of the recent VAT reform.     

Intrinsic versus instrumental benefits of higher education: the challenge from self-funded higher education

ABSTRACT

UK policy concern about the value and funding of Higher Education has focussed on the intrinsic and instrumental impacts of education. Typically, returns to education are identified by narrow economic metrics, like earnings. However, policy makers recognize the need for wider measures of welfare. Consequently, contemporaneous relationships with subjective well-being (SWB) have been explored. In this paper the effects of higher education on SWB are mapped through time. The results show positive effects in the first year at university that dissipate afterwards. Intrinsic benefits from education remain but get eroded implying increased stress from loan financed education with transition to a more instrumental perspective on education.     

Firm heterogeneity in modelling foreign direct investment location decisions

This article investigates the probability of the FDI location decisions of multinational enterprises using a mixed logit panel data model, which is the most flexible discrete choice model. We employ a three-level data set, which includes over 1100 FDI location decisions into 13 alternative Central and Eastern European Countries (CEECs) over an 11-year period. Our empirical results on the effect of host country, industry and firm characteristics on the probability of undertaking FDI in a particular location are significant and consistent with the predictions of our theoretical model.     

Is education important in assessing the impact of institutions on economic growth in emerging economies?

ABSTRACT

In this article, we empirically revise the hypothesis that institutions cause economic growth for emerging countries starting from a theoretical model. Our sample consists of 21 countries covering different zones: European Emerging, Asia Pacific Emerging, Latin America, Middle-East and Africa while the status advanced versus secondary emerging countries based on FTSE (Financial Times Stock Exchange) classification is accounted for. The period analysed is 1995–2014. The methodology is based on System GMM estimator of Arellano-Bover and Blundell-Bond for dynamic panel data. Empirical findings suggest that only variables such as voice and accountability and government effectiveness have a significant positive impact on economic growth rates of the analysed countries. In the presence of control variables, i.e. trade and government final consumption, results are robust. Results remain robust for countries that have a high level of government expenditure on tertiary education which proves the role of education in assessing the impact of institutions on economic growth.