Environmental impact of customs union agreement with EU on Turkey's trade in manufacturing industry

In this study, we analyse Turkey's manufacturing industry trade by estimating sectoral import and export demand equations for 1980–2000. The study aims to understand whether the trade in the manufacturing industry complies with pollution haven hypothesis, and whether the free trade environment provided by the customs union (CU) agreement altered the trade pattern of the clean and dirty industries. Results of our econometric models have shown that while CU positively affects the import demand, it does not have any significant impact on the export demand of Turkish manufacturing industry. In terms of the environmental impact, distinction between clean and dirty industries turns out to be significant for both import and export demand. In general, our findings suggest that both clean and dirty industries’ import demand increased during the study period. In terms of export demand, clean industries’ export demand declines whereas dirty industries’ export demand increases compared to the total demand.     

Processing fluency: examining its relationship with thinking style and purchase intention

This study aims to examine the relationship between processing fluency and thinking style. In addition to that, the impact of processing fluency on purchase intention will be investigated. Specifically, it is proposed that experiential thinking style induces more fluent processing than rational thinking style. Getting the audience to attend to the ad in an intuitive manner rather than a rule-based manner and presenting them with affective stimuli rather than analytical stimuli increases the fluency experiences. Moreover, it is expected that the processing fluency that is experienced by consumers will influence their purchasing intent. It is suggested that consumer’s level of confidence in their choices mediates the relationship between processing fluency and purchase intent.     

An analysis of decentralized collection and processing of end-of-life products

In this study, we analyze decentralized collection and processing operations for end-of-life products in durable goods industries. We consider a durable end-of-life product from which a particular part can be dismantled and remanufactured, and the remainder of the product can be further processed for part and/or material recovery. Both the quantity of end-of-life products available and the demand for remanufactured parts are price-sensitive. We develop models to determine the optimal acquisition price of the end-of-life products and the selling price of the remanufactured parts in centralized as well as remanufacturer- and collector-driven decentralized channels. We discuss how the decentralized channels can be coordinated to attain the end-of-life product collection rate that can be achieved in the centralized channel. In the presence of environmental regulations that require an original equipment manufacturer (OEM) of durable goods to collect and process its end-of-life products, we identify when and why the OEM would prefer a remanufacturer- or a collector-driven channel, i.e., outsource the processing or the collection activity, respectively. From a practical perspective, we show that the OEM should prefer a collector-driven channel to increase the collection rate, when end-of-life products are homogenous. However, we also show that the OEM would prefer a remanufacturer-driven channel under certain conditions. We also examine how the OEM can increase the quantity of used products collected, when the collection rate in the preferred channel setting falls short of the collection rate mandated by the environmental regulation. When end-of-life products are heterogeneous, we observe that the collection rate for all quality groups can be positive in a remanufacturer-driven channel, whereas the collection rate for some quality groups may be zero. This indicates that the OEM must pay more attention to its outsourcing decision in this case, if the environmental regulation in effect specifies target collection rates for individual quality groups.     

Competing specifications of the gravity equation: a three-way model,bilateral interaction effects,or a dynamic gravity model with time-varying country effects?

We investigate bilateral trade flows across the EU-15 countries from 1962 to 2003 by different specifications of the gravity model. We augment the basic gravity model with population and exchange rate variables, and then include time-varying country fixed effects, to account for Anderson and van Wincoop (Am Econ Rev 93(1):170–192, 2003) multilateral resistance terms. Then, following the previous theoretical derivations of the gravity model in the presence of panel data in a dynamic setting we change the specification of our gravity model. We compare the results of different specifications showing the improvement in each case. We claim the comparative superiority of the dynamic gravity model with time-varying exporter and importer fixed effects due to its higher explanatory power. Finally, we compare out-of-sample forecasting performance of different specifications of the gravity model.     

Re-examining the threshold effects in the inflation–growth nexus with cross-sectionally dependent non-linear panel: Evidence from six industrialized economies

This paper analyzes the empirical relationship between inflation and output growth using a novel panel data estimation technique, Panel Smooth Transition Regression (PSTR) model, which takes account of the non-linearities in the data. By using a panel data set for 6 industrialized countries that enable us to control for unobserved heterogeneity at both country and time levels, we find that there exists a statistically significant negative relationship between inflation and growth for the inflation rates above the critical threshold level of 2.52%, which is endogenously determined. Furthermore, we also control cross-section dependency by using the CD test modified to non-linear context and remedy cross-section dependency with Seemingly Unrelated Regression Equations through Generalized Least Squares (SURE-GLS) and newly proposed Common Correlated Effects (CCE) estimation techniques. We find that these methods change the critical threshold value slightly. The estimated threshold values from these estimation methods are 3.18% and 2.42%, respectively.     

Is the Allais paradox due to appeal of certainty or aversion to zero?

Experimental Economics - We provide a novel but intuitive explanation for expected utility violations found in the Allais paradox: individuals are commonly averse to receiving nothing. We call this...     

The Influence of Funding Approaches,Growth Expectations,and Industry Gender Distribution on High‐Growth Women Entrepreneurs

This study examines three key aspects of entrepreneurship associated with women business owners and their ability to achieve high growth: debt versus equity financing, growth expectations, and industry gender distribution. We present a number of theoretical lenses spanning disciplines such as gender studies, entrepreneurship, social psychology, and finance. Using longitudinal data from U.S. startups over an eight‐year period, our research reveals a number of interesting findings. We find that, proportionally, high‐growth women entrepreneurs are more likely to finance their growth with personal and business equity funding. Additionally, women‐owned firms in “feminine industries” are more likely to achieve high growth than women‐owned firms in “non‐feminine industries.”     

Investigating the effects of economies of scope on firms’ pricing behavior: Empirical evidence from the US domestic airline industry

This study investigates to what extent cross-product (belly cargo) output affects (passenger ticket) prices in the US domestic airline industry. The empirical analysis indicates that greater cargo volumes generally result in lower air fares, presumably as a result of the airlines’ realization of economies of scope. This magnitude of this price effect, however, depends on certain firm and route market characteristics. The findings of this study add to extant research on economies of scope, multi-product yield management and airline pricing and provide important insights for policy makers and airline managers alike.     

Stock Market Reaction to Quality,Safety, and Sustainability Awards in Logistics

Although quality, safety, and sustainability are important concerns in logistics, managers are sometimes reluctant to invest in these areas because it is not always clear how such investments will benefit firm performance. Empirical literature provides little guidance in the context of logistics as previous studies report mixed findings across a diverse set of industries, which may not be directly applicable to logistics. To address this gap, we conducted an event study to estimate the stock market reaction to quality, safety, and sustainability award announcements in logistics. Based on 244 award announcements during the period 2004–13, we found that stock market participants react positively to announcements of these awards. The market reaction appears to be stronger for sustainability awards than for quality and safety awards. Our results also suggest that the market reacts more favorably to quality and sustainability award announcements for firms with better past financial performance and for smaller firms.