Income Tax Progressivity: Trends and Implications

This paper discusses how the structure of the tax system affects its progressivity. It suggests a measure of progressive capacity of tax systems, based on the Kakwani index, but independent of pretax income distributions. Using this and other progressivity measures, the paper (i) documents a decline in progressivity over the last decades and (ii) examines the relationship between progressivity and economic growth. On this relationship, regressions do not reveal a significant impact, suggesting that efficiency costs may be small – at least for degrees of progressivity observed in the sample. Finally, the paper finds that increasing tax progressivity reduces pretax inequality.     

Dancing in the office: A study of gestures as resistance

Following the art-body-ethics turn in management studies we use dance as an analogy in order to explore how the body can resist organisational control in office work contexts. We argue that in office work gestures can be a site of post-recognition resistance. Drawing on two art videos and on dance studies, we explain that this is operated either through arrest or through flow. In fact aesthetic experiments in gesturing disrupt the work rhythm needed for organisational efficiency and enforced by organisational control. This allows us to contribute primarily to the literature on resistance in organisation studies and relatedly to the growing literature on dance in organisation studies through demonstrating how dance can be a source of resistance.     

Small agricultural businesses' performance—What is the role of dynamic capabilities,entrepreneurial orientation,and environmental sustainability commitment?

The role that the resources and capabilities of agricultural entrepreneurs play on both environmental performance (EP) and financial performance (FP) is still unclear. This study analyzes how small farms enhance EP and FP in an inland Portuguese region through the relationship between dynamic capabilities (DCs), entrepreneurial orientation (EO), and environmental sustainability commitment (ESC). Based on a sample of 160 fresh fruit farms and applying a partial least squares structural equation modeling (PLS-SEM), our study concludes that EO and ESC influence EP and FP positively. Hence, farms can achieve competitive advantage through mitigating their profound impacts on the environment as proposed by the natural resource-based view (NRBV). Farms are also improving DCs, but farmers respond to the higher environmental requirements of agricultural markets primarily through research and development (R&D) capabilities and not through marketing capabilities. Having as theoretical supports the NRBV and the DCs, our study contributes to a better understanding of the mechanisms through which entrepreneurs enhance EP and FP in sectors with high environmental impacts such as agriculture. The findings suggest that entrepreneurship training projects may enable farmers to approach food security as a market opportunity and not only as rules they must follow.     

The influence of extrinsic product attributes on consumers’ food decisions: review and network analysis of the marketing literature

ABSTRACT

The paper synthesises the existing research on the influence of key product characteristics on the consumers’ food decision-making. By applying network analysis on a sample of 233 empirical studies from the last three decades, the paper demonstrates how marketing-specific variables are embedded in a network of other predictors. The paper also analyses network structure and density using well established measures. The results show that there is still a lack of research concerning the interplay between marketing-relevant extrinsic product attributes (e.g. price, brand, labelling, country of origin) and intrinsic food attributes, policy-related factors, as well as aspects of the proximal and distal environment. The paper identifies gaps in the marketing literature and derives research propositions. Additionally, implications for marketing practice are developed.     

The environmental value and impact of the Maker movement—Insights from a cross‐case analysis of European maker initiatives

The aim of this paper is to explore the environmental value of the Maker movement, which is driving digital fabrication into the mainstream. Makers are inspiring each other to create smart solutions for all types of individual needs and address societal and environmental challenges at the same time. They share their creative ideas and solutions in collaborative work spaces and Maker Faires or on social media platforms. Is this grassroots innovation the beginning of the next industrial revolution? This paper will explore the environmental value and impact of makers' innovative business model and discuss on how to increase the circularity. At the same time, we will describe the role of maker communities and how to help to play a better role. In the framework of a case study analysis based on 10 different Maker initiatives across Europe, 39 interviews were conducted with makers and Maker initiatives managers evaluating core questions such as potential environmental value and impact, value chains, and energy efficient behaviours. This study is expected to contribute to building an explorative but yet empirically rooted analysis of the environmental value and impact of the Maker movement. Furthermore, the challenges in the future and the suggestions for policy makers are provided.     

Speculation and volatility—A time-varying approach applied on Chinese commodity futures markets

Experts have long discussed and empirically investigated whether speculative activity increases volatility on commodity futures markets. Little empirical research, however, analyzes the role of speculators on commodity futures markets in China. Using time-varying vector autoregression models with stochastic volatility, this paper investigates for four heavily traded metal and agricultural contracts, how the relationship between returns volatility and speculation evolves over time. Our findings indicate that speculative activity has little to no impact on volatility. On the contrary, for all commodities examined, returns volatility seems to amplify speculation.     

A theoretical model of mobile augmented reality acceptance in urban heritage tourism

Latest mobile technologies have revolutionized the way people experience their environment. Recent research explored the opportunities of using augmented reality (AR) in order to enhance user experience; however, there is only limited research on users’ acceptance of AR in the tourism context. The technology acceptance model is the predominant theory for researching technology acceptance. Previous researchers used the approach of proposing external dimensions based on the secondary literature; however, they missed the opportunity to integrate context-specific dimensions. This paper therefore aims to propose an AR acceptance model in the context of urban heritage tourism. Five focus groups, with young British female tourists visiting Dublin and experiencing a mobile AR application, were conducted. The data were analysed using thematic analysis and revealed seven dimensions that should be incorporated into AR acceptance research, including information quality, system quality, costs of use, recommendations, personal innovativeness and risk as well as facilitating conditions.     

Density Forecasts With Midas Models

We propose a parametric block wild bootstrap approach to compute density forecasts for various types of mixed‐data sampling (MIDAS) regressions. First, Monte Carlo simulations show that predictive densities for the various MIDAS models derived from the block wild bootstrap approach are more accurate in terms of coverage rates than predictive densities derived from either a residual‐based bootstrap approach or by drawing errors from a normal distribution. This result holds whether the data‐generating errors are normally independently distributed, serially correlated, heteroskedastic or a mixture of normal distributions. Second, we evaluate density forecasts for quarterly US real output growth in an empirical exercise, exploiting information from typical monthly and weekly series. We show that the block wild bootstrapping approach, applied to the various MIDAS regressions, produces predictive densities for US real output growth that are well calibrated. Moreover, relative accuracy, measured in terms of the logarithmic score, improves for the various MIDAS specifications as more information becomes available. Copyright © 2016 John Wiley & Sons, Ltd.