Sociology and Sisyphus: postcolonialism,anti-positivism,and modernist narrative in Patterson’s oeuvre

Theory and Society - This article argues that Orlando Patterson is a key contributor to postcolonial fiction and postcolonial theory as well as historical sociology and social theory, whose work...     

Backward capacity-filtering for electronics Fabs

In electronics Fabs such as semiconductor Fabs and liquid crystal display (LCD) Fabs, which are capital-intensive, finite-capacity planning is critical to achieving full-capacity production and on-time production. However, existing finite-capacity planning methods do not adequately reflect the actual capacity profiles of an electronics Fab. In this paper, we propose a new Fab-level capacity-filtering procedure to generate finite-capacity plan: a backward capacity-filtering procedure for generating finite-capacity release plan. When developing the Fab-level filtering procedures, we use stage-level capacity-filtering algorithms as a key building block. In this study, we enhance the previous capacity-filtering algorithms proposed by one of the authors in order to facilitate the practical requirements of electronics Fabs. We apply the proposed capacity-filtering method to a modern LCD–TFT Fab in Korea. Performance analyses demonstrate that the proposed method is superior to existing methods.     

Making Professional Decisions in Research: Measurement and Key Predictors

The professional decision-making in research (PDR) measure was administered to 400 National Institutes of Health (NIH)-funded and industry-funded investigators, along with measures of cynicism, moral disengagement, compliance disengagement, impulsivity, work stressors, knowledge of responsible conduct of research (RCR), and socially desirable response tendencies. Negative associations were found for the PDR and measures of cynicism, moral disengagement, and compliance disengagement, while positive associations were found for the PDR and RCR knowledge and positive urgency, an impulsivity subscale. PDR scores were not related to socially desirable responding, or to measures of work stressors and the remaining impulsivity subscales. In a multivariate logistic regression analysis, lower moral disengagement scores, higher RCR knowledge, and identifying the United States as one’s nation of origin emerged as key predictors of stronger performance on the PDR. The implications of these findings for understanding the measurement of decision-making in research and future directions for research and RCR education are discussed.     

SOFT SKILLS,HARD SKILLS,AND THE BLACK/WHITE WAGE GAP

This study examines the relative importance of soft skills versus hard skills across occupations and its impact on the observed wage gap between Blacks and Whites in the United States. It posits that the Black/White pay gap may vary across occupations that require the use of different types of skills. We classify occupations into hard‐skill intensive versus soft‐skill intensive jobs using the skill content measures of different occupations from the Occupational Information Network (O*Net). We then use data from the National Longitudinal Survey of Youth (NLSY) and Current Population Survey (CPS) to investigate the impact of job skill type on the wage gap. Consistent with our theoretical predictions, we show that this wage gap in white‐collar jobs is smaller for hard‐skills jobs than it is for soft‐skills jobs. Moreover, we demonstrate that, in response to variations in the wage gap across different occupations, Blacks are more likely to self‐select themselves into hard‐skills jobs, ceteris paribus. This shows not only that discrimination against Blacks varies across occupations, but also that such discrimination induces the self‐selection of Blacks into certain occupations. Moreover, this finding highlights the role played by co‐worker/customer discrimination in explaining the racial wage gap in the U.S. labor market. (JEL J15, J31)     

Heterogeneous climate effects on human migration in Indonesia

We examine the effect of anomalous temperatures, rainfall levels, and monsoon timing on migration outcomes in Indonesia. Using panel data from the Indonesian Family Life Survey and high-resolution climate data, we assess whether intra- and inter-province moves are used as a response to climatic shocks. We evaluate the relative importance of temperature, rainfall, and monsoon timing for migration. Only temperature and monsoon timing have significant effects, and these do not operate in the direction commonly assumed. Estimated effects vary according to individuals’ gender, membership in a farm household, and location. We also analyze climate effects on sources of household income, which highlights the multi-phasic nature of household responses. Results undermine narratives of a uniform global migratory response to climate change and highlight the heterogeneous use of migration as a response to such changes. By extending previous research on environmentally induced migration in Indonesia, we also highlight the sensitivity of estimates to alternative climate and migration measures.     

Evaluating the causal economic impacts of transport investments: evidence from the Madrid–Barcelona high speed rail corridor

This paper evaluates economic impacts arising from the introduction of high-speed rail (HSR) between Madrid and Barcelona. Using difference-in-differences estimation we estimate an average treatment effect for provinces with stops on the HSR line of 2.4% for economic output, 3.3% for numbers of firms, and 1.1% for labour productivity. We complement our DID results with a synthetic control analysis for Lleida and Tarragona, two provinces that we argue were assigned HSR stations largely due to their incidental location. We find that both the number of firms and labour productivity are substantially higher in these provinces than in their synthetic counterparts.