Corporate Cash Holding in Asia

In this paper, we analyze the determinants of corporate saving in the form of changes in cash holdings for 11 Asian economies using firm‐level data from the Oriana Database for the 2002–2011 period. We find some evidence that cash flow has a positive impact on the change in cash holdings (i.e. that the cash flow sensitivity of cash is positive) and that the positive impact of cash flow on the change in cash holdings is larger and more significant in the case of smaller and presumably more constrained firms than in the case of larger and presumably less constrained firms in both developed and developing economies. Both of these findings corroborate the importance of financial constraints in Asian firms. In addition, we find that the cash flow sensitivity of cash declined after the global financial crisis and that Tobin's q has a positive impact on the change in cash holdings, especially in the case of larger and presumably unconstrained firms.     

The source of global stock market risk: A viewpoint of economic policy uncertainty

This study explores the effect of economic policy uncertainty (EPU) in four countries or regions (China, Japan, Europe, and the United States) on the contagion risk of investments in the global stock market. The stock returns of 22 stock markets worldwide are analyzed to determine which region’s EPU exhibits the greatest effect on regional systematic risk in the global stock market and on volatility risk in individual stock markets. First, all of the samples, the markets of different continents and the spillover indices of the developed and emerging markets, are calculated to observe the dynamic correlation among these markets with the aim of quantifying regional systematic risk and further examining the contagion risk effect of EPU. The results indicate the following: EPU in China is the most influential, and its contagion risk spreads to different regional markets, except for Europe; the effect of EPU in the United States is inferior to that in China; EPU in Japan merely influences contagion risk in emerging markets; contagion risk in European markets is not influenced by the four EPU indices; and EPU in Europe is not influenced by contagion risk in the global stock market. However, according to the volatility risk in each market, the EPU in Europe and China respectively influence Asian countries and European countries the most. These results may be attributable to the extremely high trade dependence among these countries because the performance of international enterprises is mainly determined by the economic policies of their trading partners.     

Can negative interest rates really affect option pricing? Empirical evidence from an explicitly solvable stochastic volatility model

The profound financial crisis generated by the collapse of Lehman Brothers and the European sovereign debt crisis in 2011 have caused negative values of government bond yields both in the USA and in the EURO area. This paper investigates whether the use of models which allow for negative interest rates can improve option pricing and implied volatility forecasting. This is done with special attention to foreign exchange and index options. To this end, we carried out an empirical analysis on the prices of call and put options on the US S&P 500 index and Eurodollar futures using a generalization of the Heston model in the stochastic interest rate framework. Specifically, the dynamics of the option’s underlying asset is described by two factors: a stochastic variance and a stochastic interest rate. The volatility is not allowed to be negative, but the interest rate is. Explicit formulas for the transition probability density function and moments are derived. These formulas are used to estimate the model parameters efficiently. Three empirical analyses are illustrated. The first two show that the use of models which allow for negative interest rates can efficiently reproduce implied volatility and forecast option prices (i.e. S&P index and foreign exchange options). The last studies how the US three-month government bond yield affects the US S&P 500 index.     

Application of structural equation modelling for estimating airline performance

Structural equation modelling (SEM) is an estimation method that can handle a large number of exogenous and endogenous factors as well as unobserved (latent) variables that are specified as linear combinations of observed (measurement) factors. This paper presents a SEM procedure with latent variables for estimating the financial and non-financial performance in airline companies. The model includes independent, mediator and dependent latent variables. The sample for this research comprises 214 airline companies. The results indicate that the model is capable of estimating performance with respect to the economic situation and it has also been determined that two types of constructs affect performance. One type is the economic situation acting as an initial construct and the other is the internal operation acting as the mediator in the research model.     

Skyscrapers and the economy in Latin America

Skyscrapers are an intellectual challenge for urban analysis because of their imposing visual presence in the city landscape, and because of their environmental and real estate impacts. These characteristics however have not received much attention in the literature, particularly in analyses about Latin American cities. In this paper, we describe and test four theories about record-breaking buildings height: traditional microeconomic theory, game theory, business cycle, and global cities. We use a 2000–2012 panel database of 29 cities from 10 different Latin American countries, in order to contrast the contesting explanations about buildings’ height. We design a baseline model and then, using four different estimation techniques and diverse specifications, find that traditional theory and more strongly, global cities are good predictors of buildings’ height.     

Could lean practices and process innovation enhance supply chain sustainability of small and medium‐sized enterprises?

Small and medium‐sized enterprises (SMEs) adopt lean practices (LP) to reduce waste across their organisational value chain, which helps achieve sustainability. Process innovation (PI) has also been applied through cleaner production, environmental management system, ecodesign, and so on to address both customers' needs and legislations by policymakers. Although prior studies reveal the effect of sustainable practices, LP, and PI on sustainable performance separately, less is known on the integrated effect of them on sustainability performance. Moreover, studies on mediating effect of LP and PI on sustainability performance are scant. This is significant as LP and PI are considered to be the enablers for achieving sustainability performance. This research addresses this knowledge gap. The research first theorises a model integrating these four major constructs (sustainability practices, LP, PI, and sustainability performance) through hypotheses development. Subsequently, using structural equation modelling, it is tested whether each of sustainability practices, LP, and PI effect sustainability performances. Additionally, mediating effect of LP and PI between sustainability practices and performances is derived. The study uses data from 119 SMEs within manufacturing industries in the Midlands, United Kingdom. Further, a few case studies have been undertaken to validate the findings from quantitative analysis. The overall results show that although sustainability practices, LP, and PI help achieve sustainability performance of SMEs supply chain through efficiency and responsiveness respectively, the mediating effect LP is more compared with PI. Moreover, SMEs adopt LP when they are economy focused and implement PI when they are pressurised by customers and/or policymakers.     

Modelling innovation support systems for regional development – analysis of cluster structures in innovation in Portugal

The present article offers a concise theoretical conceptualization and operational analysis of the contribution of innovation to regional development. The latter concepts are closely related to geographical proximity, knowledge diffusion and filters and clustering. Institutional innovation profiles and regional patterns of innovation are two mutually linked, novel conceptual elements in this article. Next to a theoretical framing, the article employs the regional innovation systems concept as a vehicle to analyse institutional innovation profiles. Our case study addresses three Portuguese regions and their institutions, included in a web-based inventory of innovation agencies which offered the foundation for an extensive database. This data-set was analysed by means of a recently developed principal coordinates analysis followed by a Logistic Biplot approach (leading to a Voronoi mapping) to design a systemic typology of innovation structures where each institution is individually represented. There appears to be a significant difference in the regional innovation patterns resulting from the diverse institutional innovation profiles concerned. These profiles appear to be region specific. Our conclusion highlights the main advantages in the use of the method used for policy-makers and business companies.     

Tariffs and formation of free trade agreements networks

This paper examines the formation of bilateral free trade agreements (FTAs) on the basis of country heterogeneity in the tariff level. We demonstrate that a country's unilateral incentive to form an FTA depends on the relative magnitudes of the (negative) market concession effect and the (positive) market expansion effect, both of which are determined by the tariff levels of the two FTA partner countries. Global welfare is maximised when all country pairs form FTAs. Two countries in equilibrium are more likely to form an FTA when their tariff gap is smaller or when their tariff levels are neither very high nor very low. This finding is robust to several extensions of the model. Our preliminary empirical analysis provides some evidence for the finding.     

Gender,Decent Work,and Global Production Sharing in Indonesian Manufacturing

Abstract:

Global commodity chains reflect and affect gendered labor markets. This article uses the Decent Work framework from the International Labour Organization to analyze employment outcomes for Indonesian workers in manufacturing. This research investigates trends in feminized manufacturing sectors in variously sized firms. Regression analyses is used to evaluate how firm characteristics related to global production sharing effect decent work outcomes for women and men, as well as female share of employment itself. The results suggest that exports and FDI affect men and women differently and that feminization and decent work outcomes depend on how the sector is positioned along the global value chain.