Measuring scale efficiency from a parametric hyperbolic distance function

This paper shows how scale efficiency can be measured from an arbitrary parametric hyperbolic distance function with multiple outputs and multiple inputs. It extends the methods introduced by Ray (J Product Anal 11:183–194, 1998), and Balk (J Product Anal 15:159–183, 2001) and Ray (2003) that measure scale efficiency from a single-output multi-input distance function and from a multi-output and multi-input distance function, respectively. The method developed in the present paper is different from Ray’s and Balk’s in that it allows for simultaneous contraction of inputs and expansion of outputs. Theorems applicable to an arbitrary parametric hyperbolic distance function are introduced first, and then their uses in measuring scale efficiency are illustrated with the translog functional form.     

The impact of regulation FD on the information environment: evidence from the stock market response to stock split announcements

This paper examines the information environment effects of regulation fair disclosure (Reg FD). We investigate the stock market response to stock splits in the pre- and post-regulation periods. We find that abnormal returns around split announcement are positive in both periods, but the magnitude of the returns is smaller in the post-FD period relative to the pre-FD period. The difference between the pre- and post-FD period abnormal returns persists even after we control for factors that may affect split announcement returns. We also find that the magnitude of the association between announcement returns and the unexpected portion of the split factor has increased post-regulation. Our analysis of performance trends for split firms reveals that patterns of profitability and changes in profitability in the years around stock splits are similar in the pre- and post-FD periods. However, we find that announcement returns are associated with lagged profitability changes in the pre-FD period, but with future profitability changes in the post-FD period. Collectively, our results imply that Reg FD has reduced information asymmetry and improved price efficiency.     

The Cross-Section of Expected Stock Returns: New Evidence from an Emerging Market

Over 300 factors have been found to explain the cross-section of expected stock returns. Empirical studies also show that findings from multifactor asset-pricing models have not been consistent in an emerging market. Using DuPont analysis and a residual income valuation model for 284 nonfinancial companies on Ho Chi Minh Stock Exchange during the period 2008–2014, findings suggest that the return on equity and its change are informative for stock returns in Vietnam. In addition, the level of capital turnover, financial cost ratio (FCR), and changes in capital and in the FCR contain incremental explanatory power for stock returns.     

The effects of environmental regulation on the stock market: the French experience

The impact of environmental regulation on the French stock market is investigated by using event study methodology and asset pricing models. The impact of environmental regulation on the stock prices of environmentally friendly businesses and polluters is assessed. Additionally, we estimate the change in systematic risk following the introduction of new regulations. According to the results, the French stock market is particularly sensitive to the environmental regulation embodied in the European Union Emissions Trading System and less so to the regulation on water, soil and air. The chemicals, oil and gas industries exhibit negative reactions, whereas other polluters (such as construction and materials, and industrial transportation) produce positive abnormal returns.     

Evaluating the purchase behaviour of organic food by young consumers in an emerging market economy

Promoting consumer purchase behaviour of eco-friendly products is key to environmental sustainability. This research aims to investigate how different factors may enhance or impede young consumers’ intentions to purchase a specific type of eco-friendly product, i.e. organic food. Data were obtained from 289 respondents in an emerging market economy, i.e. Vietnam. Multivariate data analysis using structural equation modelling revealed that food safety concern, health consciousness and media exposure to food messages played integral roles in the formation of attitude towards organic food. Interestingly, consumers’ environmental concern and food taste were of little value in predicting their attitude. Notably, perceived barriers (i.e. high price, inadequate availability, poor labelling and extra time required) significantly impeded both attitude and purchase intention towards organic food. The insights gained from this research extend current knowledge about pro-environmental behaviour in developing countries and they have important practical implications for marketers and other key stakeholders.     

Optimal growth when consumption takes time

This article analyzes a one‐sector growth model where the consumption takes time. When the consumption takes time, the consumption set is compact and we meet satiety. However, we prove that dynamic constraints are binding. This result is crucial to prove that, under well‐known assumptions in macroeconomic dynamic programming, the optimal path is monotonic and always converges to a unique nontrivial steady state as in the case where consumption is timeless.     

Financial distress and bankruptcy prediction: An appropriate model for listed firms in Vietnam

This paper aims to develop a comprehensive model, the first of its kind in Vietnam, for the purpose of predicting financial distress and bankruptcy at Vietnamese listed firms. The period 2003–2016 is used to study the likelihood of financial distress in different scenarios. Various factors are utilized, including (1) accounting factors in the emerging market score model; (2) market factors in the distance-to-default model; and (3) macroeconomic indicators. The area under the receiver operating characteristics (AUC) curve is used to compare the usefulness of various models that predict financial distress and bankruptcy. Empirical findings from this study show that accounting and market factors, together with macroeconomic fundamental factors, both affect financial distress when they are considered in isolation. However, in a comprehensive model, the effects from accounting factors appear to be more significant than those from market-based factors. The default prediction model, which includes accounting factors with macroeconomic indicators, appears to perform much better than the model comprising market-based factors with macroeconomic fundamentals.     

Optimal Structure of Technology Adoption and Creation: Basic versus Development Research in Relation to the Distance from the Technological Frontier*

Many economists maintain that in order to advance economic growth Asian countries should focus more on basic research than on technology adoption, and more on the supply of skilled workers than the supply of unskilled workers. In this context, this paper presents a theoretical model and empirical evidence to explain the observation that a country in which the level of technology approaches the technology frontier tends to rely more on technology creation than adoption, and invest more in basic research than in development. The model shows that technology creation involves both basic and development research processes, whereas technology adoption uses only the latter process. Therefore, R&D investment in our model involves three different processes: basic research in technology creation, development in technology creation, and development in technology adoption. The results suggest first that the rate of growth is positively correlated with the level of basic research activities in the technology creation sector, if a country's technology gap with the technology frontier is small enough. Second, an increase in the efficiency of the education system for highly skilled workers raises the level of basic research and the rate of growth. Third, verifying these theoretical results, empirical analyses using panel data from Korea, Japan and Taipei, China show that the narrower the distance to the technological frontier, the higher the growth effect of basic R&D, which indicates that the share of basic R&D matters for economic growth. Finally, the results also show that the quality of tertiary education has a significantly positive effect on the productivity of R&D.     

Who is afraid of disposition of financial assets? The moderating role of regulatory focus in the disposition effect

The disposition effect refers to the tendency of financial consumers to sell winning assets (e.g., stocks) too early and to hold losing assets for too long. This effect implies that investors behave asymmetrically under the conditions of paper gains and losses. Although prior research on the disposition effect drew primarily on prospect theory as the explanatory mechanism, we focus on regulatory focus, an alternative mechanism. Regulatory focus theory suggests that people pay distinctive attention to profits and losses depending on self-regulation orientations (i.e., promotion focus vs. prevention focus). We argue that regulatory focus has different influences on financial consumers’ investment behavior in the gain and loss domains. In three experimental studies, we demonstrate that regulatory focus moderates the disposition effect. The results of the current studies imply that the disposition effect is primarily driven by prevention- (vs. promotion-) focused individuals who behave asymmetrically in the gain and loss domains.     

How data analytics is transforming agriculture

Two discussions about the interaction between data analytics and competitive analysis have been taking place in the past decade: one focusing on micro-level firm capabilities and the other on macro-level industry competitiveness. We seek to integrate the micro- and macro-level analyses via the lenses of firms in agricultural input markets. Agriculture is undergoing a tremendous transformation in the collection and use of data to inform smarter farming decisions. Precision agriculture has brought a heightened degree of competition for input supply firms, forcing greater interactions among friends and foes.