Measuring poverty and income distribution in Southeast Asia

The paper surveys the extensive research on the measurement of poverty and inequality in Southeast Asia over the last five decades. It examines the work carried out by both independent scholars and international agencies including the World Bank and the Asian Development Bank. The paper argues that the household surveys carried out by national statistical agencies across the region, and used by most researchers, are often flawed. These flaws have led to rather misleading results both for individual countries and for cross‐country comparisons. Further problems have been found in the data on purchasing power parities (PPP) which have been used by the World Bank to estimate poverty both in Southeast Asia and in other developing countries. The paper also points out that estimates of poverty and inequality are often politically sensitive, and argues that a more accurate understanding of the estimation problems will only emerge if governments support rather than suppress open debate over measurement problems.     

The Role of Green Collaborative Strategies in Improving Environmental Sustainability in Supply Chains: Insights from a Case Study

This article aims to quantify to what extent collaborative strategies are more effective than internal or organization‐level actions to green supply chains. In this regard, the impact of decisions made at different stages of a supply chain in a product's carbon footprint is quantified. Organizational and product carbon footprints are calculated using the Compound Method Based on Financial Accounts (MC3). The results underline that concentrating reduction efforts in some stages of the supply chain is more effective than implementing individual actions by the participants. Collaboration among the participants is needed to decide what practices are implemented, at what stage they are needed and how they are to be implemented. This article adds to the literature on supply chains and sustainability. Previous research suggests that collaborative strategies have great potential for reducing the carbon footprint of products, while indicating the need for empirical research to support this statement. Copyright © 2017 John Wiley & Sons, Ltd and ERP Environment     

The virtuous circle of human resource investments: A precrisis and postcrisis analysis

We propose a dynamic model of positive feedback between human resource (HR) investments and companies' economic performance. The model assumes that HR investment increases profitability through labor productivity and, in turn, profitability improves HR investment through organizational slack. Based on data from a sample of 2,497 industrial companies over a 7‐year period (2005–2011), longitudinal analysis corroborates the existence of a two‐way relationship between HR investment and profitability over time. However, the emergence of an economic crisis weakens this feedback, identifying the effect of organizational slack on HR investment as the weakest causal chain link. In a postcrisis period, HR investment is not such a high priority for managers.     

Personalized charity advertising. Can personalized prosocial messages promote empathy,attitude change,and helping intentions toward stigmatized social groups?

This study examines the role of personalized charity advertising in promoting empathy, attitude change, and helping intentions toward stigmatized social groups. Based on theories of message involvement, empathy, and reactance, we predicted that higher levels of involvement elicited by a personalized charity advertisement would reinforce empathy and prosocial outcomes. An online experiment was conducted using a personalized and a nonpersonalized version of a charity advertisement for a campaign soliciting donations of winter coats for homeless people. As expected, structural equation modeling revealed a positive indirect effect of personalization on prosocial outcomes (attitudes and behavioural intentions toward homeless people, and willingness to donate to the campaign) that was mediated by involvement and empathy. However, in addition to promoting involvement and empathy, personalization also led to heightened reactance, which detracted from the positive effects. Theoretical as well as practical implications of the findings for personalized charity advertising are discussed.     

Incentives and teacher effort

Few would contest that teachers are a very important determinant of how much students learn in school, and how to improve teacher performance has been the focus of lively policy debate in both rich and poor countries. This paper examines how teacher incentives, both pecuniary and non‐pecuniary, correlate with teacher effort. Using school survey data from Lao PDR, we estimate measures of teacher effort, including the number of hours that teachers spend preparing for classes and teacher provision of private tutoring outside of class hours, which are not the typical measures used in previous research. Estimation results fit well under the standard labour supply framework and indicate that greater teacher effort is associated with non‐pecuniary incentives such as more teacher autonomy over teaching materials and monitoring as measured by the existence of an active parent – teacher association and the ability of school principals to dismiss teachers. Methodologically, this paper provides a detailed derivation of a simultaneous OLS‐probit model with school random effects that can jointly estimate teacher work hours and tutoring provision.     

Automatic leading indicators versus macroeconometric structural models: A comparison of inflation and GDP growth forecasting

This paper compares the forecast performance of automatic leading indicators (ALIs) and macroeconometric structural models (MESMs) commonly used by non-academic macroeconomists. Inflation and GDP growth form the forecast objects for comparison, using data from China, Indonesia and the Philippines. ALIs are found to outperform MESMs for one-period-ahead forecasts, but this superiority disappears as the forecast horizon increases. It is also found that ALIs involve greater uncertainty in choosing indicators, mixing data frequencies and utilizing unrestricted VARs. Two ways of reducing the uncertainty are explored: (i) give theory priority in choosing indicators, and include theory-based disequilibrium shocks in the indicator sets; and (ii) reduce the VARs by means of the general-to-specific modeling procedure.     

A model to evaluate transient industry effects

In this paper we present a model to evaluate transient industry effects, that is, the impact of business cycles on the industry. While the importance of the economic cycle for industry and firm performance is widely recognized, we do not know much about how much the business cycle influences industry activity. The aim of this paper is to present a method that helps to understand the relationship between the business cycle and an industry's level of activity. Copyright © 2008 John Wiley & Sons, Ltd.     

Invisible costs in offshoring services work

Offshoring service work is an accelerating trend. While the cost-savings from offshoring service work are usually clear, operating at a distance also brings with it certain “invisible costs.” We combine existing service operations theory with insights from the literature on communications and culture to present a new conceptual framework, organized around interaction intensity and interaction distance. We identify the drivers of these costs. We conclude with recommendations for controlling or attenuating invisible costs in offshoring service work.     

Utility maximization under a shortfall risk constraint

The article analyzes optimal portfolio choice of utility maximizing agents in a general continuous-time financial market model under a joint budget and downside risk constraint. The risk constraint is given in terms of a class of convex risk measures. We do not impose any specific assumptions on the price processes of the underlying assets. We analyze under which circumstances the risk constraint is binding. We provide a closed-form solution to the optimization problem in a general semimartingale framework. For a complete market, the wealth maximization problem is equivalent to a dynamic portfolio optimization problem.