Global economic sustainability indicator: analysis and policy options for the Copenhagen process

The traditional discussion about CO₂ emissions and greenhouse gases as a source of global warming has been rather static, namely in the sense that innovation dynamics have not been considered much. Given the global nature of the climate problem, it is natural to develop a more dynamic Schumpeterian perspective and to emphasize a broader international analysis, which takes innovation dynamics and green international competitiveness into account: We discuss key issues of developing a consistent global sustainability indicator, which should cover the crucial dimensions of sustainability in a simple and straightforward way. The basic elements presented here concern genuine savings rates—covering not only depreciations on capital, but on the natural capital as well—, the international competitiveness of the respective country in the field of environmental (“green”) goods and the share of renewable energy generation. International benchmarking can thus be encouraged and opportunities emphasized—an approach developed here. This new EIIW-vita Global Sustainability Indicator is consistent with the recent OECD requirements on composite indicators and thus, we suggest new options for policymakers. The US and Indonesia have suffered from a decline in their performance in the period 2000–07; Germany has improved its performance as judged by the new composite indicator whose weights are determined from factor analysis. The countries covered stand for roughly 91% of world GDP, 94% of global exports, 82% of global CO₂ emissions and 68% of the population.     

Do the global stochastic trends drive the real house prices in OECD countries?

This paper demonstrates that in the long-run the main determinants of the real housing prices for a panel dataset comprising the quarterly observations of 12 OECD countries are the real GDP per capita and the real interest rate along with the global stochastic trends.     

Performance evaluation of reverse logistics in food supply chains in a circular economy using system dynamics

Supply chains are composed of multiple stakeholders who have complex interrelationships. In addition, the forward and reverse flow of materials, information, human resources, and finance occurs among different stakeholders in closing the loop of supply chains. Reverse logistics (RL) activities are gaining importance in terms of size and quantity due to both economic and environmental concerns. These flows in RL in supply chains are both dynamic and complex in nature. Further, the environmental impact of RL activities has barely been considered in holistic way in available literature. In this study, a system dynamics model has been developed to analyze and comprehend the green performance of RL activities by predicting the environmental impact of RL activities. The proposed model has been validated by a case study in the context of a food supply chain. In the company where the case study is carried out, the environmental effects of RL activities have been analyzed. These activities in a food supply chain in terms of CO₂ (carbon dioxide), NO_x (nitrogen oxide), SO₂ (sulfur dioxide), and PM (particulate matter) emissions have been predicted through a system dynamics model for the years 2020 to 2024. The proposed methodology is applied in a food supply context, a major player in retail business, especially in emerging economies. According to our findings, the RL activities in a food supply chain can significantly contribute to green performance management by minimizing food waste and loss; hence, the environmental impacts of such activities should be closely examined from a managerial perspective.     

Analysing money demand relation for OECD countries using common factors

This article investigates the existence of a long-run money demand relation for a panel data consisting of 13 OECD countries. The analysis is based on the most recent data. The existence of a long-run money demand relation is tested with two new meta-analytic panel cointegrating rank tests which are robust to cross-sectional dependence. Cross-sectional dependency in the data generating process is modelled by unobserved common factors. The observed data are decomposed into idiosyncratic and common components, and these two components are analysed separately to find out the driving forces of the long-run stationary relationship. The evidence shows that the long-run money demand relation is driven by the cross-unit cointegration. Finally, the long-run relation is estimated by taking the common factors into account.     

Employee Turnover Intention in Travel Agencies: Analysis of Controllable and Uncontrollable Factors

High turnover rates have long been a problem and costly in many industries. Numerous studies have focused on the reasons for employee turnover; however, most have focused on the hospitality industry but scarce in travel agencies. Thus, this research aimed to examine the situation in travel agencies in Hong Kong. A sample of 200 frontline staff was selected by convenience sampling. The results indicated that five independent variables, namely, general job satisfaction, job hopping, job security, training opportunity and promotion opportunity are significantly related to turnover intention. The managerial implications of these findings and future research directions are also discussed. Copyright © 2014 John Wiley & Sons, Ltd.     

An Examination of Social Media Marketing in China: How do the Top 133 Hotel Brands Perform on the Top Four Chinese Social Media Sites?

The purpose of this study is to evaluate hotel companies’ social media marketing efforts using the “6Is” social media monitoring framework. More specifically, in this study we set out to understand how hotels disseminate information, engage with consumers, and distribute products through social media. We investigate the presence of the top 133 hotel brands in China on the top domestic Chinese social media sites in order to identify to what extent the hotel industry in China recognizes the potential of this marketing tool. The findings indicate that the majority of the hotels actively and consistently use the Sina Weibo and Wechat platforms for their social media marketing.     

Style investing,comovement and return predictability

Barberis and Shleifer (2003) argue that style investing generates momentum and reversals in style and individual asset returns, as well as comovement between individual assets and their styles. Consistent with these predictions, in some specifications, past style returns help explain future stock returns after controlling for size, book-to-market and past stock returns. We also use comovement to identify style investing and assess its impact on momentum. High comovement momentum portfolios have significantly higher future returns than low comovement momentum portfolios. Overall, our results suggest that style investing plays a role in the predictability of asset returns.     

Business groups and the incorporation of firm-specific shocks into stock prices

Firm-specific information has a damped effect on business group-affiliated firms’ stock prices. Such firms’ idiosyncratic stock returns are less responsive to idiosyncratic commodity price shocks than are the idiosyncratic returns of otherwise similar unaffiliated firms in the same country and commodity-sensitive industry. Using global commodity shocks means we assess responses to common idiosyncratic shocks of the same magnitude, frequency, and observability. Further identification follows from difference-in-difference tests exploiting successful and matched exogenously failed control block transactions. We conclude that business group firms’ stock prices provide less firm-specific information to capital providers and managers.     

China's Foreign Trade: A “New Normal”

Since the global financial crisis of 2007/2008, China's foreign trade has continued to grow faster than international trade, but its drivers are now different from those prevailing before. The participation of the Chinese economy in the global production chains through processing activities is no longer the main driver of its trade performance. The new driving force of change is ordinary trade, based mainly on local inputs and domestic demand. China, which played a major role in the globalization process as an export base for multinational companies, is now shifting to having a “normal” foreign trade system, which is more closely integrated into the domestic economy.