Globalization,greed, and exploitation. How to break the baleful path?

During the last decades, a globalized and free market economy has become the worldwide accepted paradigm for organizing economic affairs. Indeed many positive effects of globalization have materialized and improved the wellbeing of humans, particularly in the poorer parts of the world. However, there is a dark side to globalization—negative external effects, e.g. the exploitation and destruction of natural resources—that is causing growing discontent (e.g. Stiglitz, Globalization and its discontents. Penguin, London, 2002). Different initiatives have been taken in order to deal with the deficits of globalization but have not yet resulted in a resounding success. This paper deals with the downsides of globalization and is not telling a “success story”. For this reason, it is a scholarly article and an essay at the same time, dealing with its subject sometimes from a personal point of view. After presenting some examples for negative side effects of our current economic system, it is argued that capitalism is not only promoting growth through innovation, but that it follows a path of greed and exploitation. Building on path dependence theory, self-reinforcing mechanisms are identified that lead into a lock-in of the current path and make it hard to alter its course. Against this background, three suggestions to tackle the deficits of globalization are presented and critically discussed—the Principles for Responsible Education (PRME), the attempt to restrict globalization (e.g. Steingart), and the implementation of a global governance system (e.g. Homann). Finally, a careful conclusion is drawn: A sequenced approach of education, sanction, and institution building might be the best solution to fasten up the slow moving process of fixing the shortcomings of globalization. It has to be clearly understood that this is not a contribution aimed against globalization and global competition. However, the issues raised in this article urgently need to be addressed. It logically follows that further research is needed in time.     

Comparison of multiple imputation and two-phase logistic regression to analyse two-phase case–control studies with rich phase 1: a simulation study

Two-phase case–control studies cope with the problem of confounding by obtaining required additional information for a subset (phase 2) of all individuals (phase 1). Nowadays, studies with rich phase 1 data are available where only few unmeasured confounders need to be obtained in phase 2. The extended conditional maximum likelihood (ECML) approach in two-phase logistic regression is a novel method to analyse such data. Alternatively, two-phase case–control studies can be analysed by multiple imputation (MI), where phase 2 information for individuals included in phase 1 is treated as missing. We conducted a simulation of two-phase studies, where we compared the performance of ECML and MI in typical scenarios with rich phase 1. Regarding exposure effect, MI was less biased and more precise than ECML. Furthermore, ECML was sensitive against misspecification of the participation model. We therefore recommend MI to analyse two-phase case–control studies in situations with rich phase 1 data.     

ECONOMIC RESTRUCTURING,THE EDUCATIONAL INCOME GAP,AND OVERALL INCOME INEQUALITY

An important consequence of the economic structure transformations of recent decades is increased income inequality. While an extensive literature has explored the relationship between economic restructuring and inequality, the unique contribution of this article is that it develops and tests a model that explores the mechanisms by which this process occurs. Specifically, the intervening role of the income gap between the well-educated and those with lower levels of education (the educational income gap) and other moderating factors are explored. The 5 percent Public Use Microdata Sample (PUMS) data from the 2000 Census of Population and Housing was used in the analysis. The data provided strong support for the model. It was found that economic structure and the moderating variables were strongly related to the educational income gap, which in turn was strongly related to overall income inequality. Generally, both the educational income gap and overall income inequality were greater in geographic areas with higher proportions of the labor force employed in services, and both were lower where greater proportions of the labor force were employed in goods-producing industries.     

Intensity, timeliness, and success of incumbent response to technological discontinuities: a synthesis and empirical investigation

The extant literature highlights numerous different factors influencing the timeliness and intensity of incumbent response to discontinuous technological change. However, this literature has so far not been synthesized and is therefore limited in its analytical, predictive, and normative power. We develop a comprehensive model of incumbent response that organizes different explanatory factors into the three distinct dimensions of (1) identification and interpretation, (2) decision making, and (3) organizational implementation. We also conceptualize how response intensity and timeliness affect business performance in new technological domains. We test the model against data from 320 firms from the German dental lab industry, finding substantial support for the majority of our hypotheses. This study offers unique empirical insight in observing that cognitive constructs such as framing and management flexibility have the strongest impact on both intensity and timeliness of incumbent response to technological, and thus, strategic discontinuities. Together, our findings have important implications for both theory and practice.     

Visualizing Trends in the Structure of U.S. Agriculture, 1982 to 19921

Abstract Multiple indicators of the structure of agriculture were extracted from the U.S. Census of Agriculture for the years 1982, 1987, and 1992, and used to extend previous work by Wimberley (1987). Exploratory factor analysis results for each year yielded three dimensions of agri-structure: corporate-commercial, farming-firm, and small-farm. Factor-scores used to estimate scales had high reliabilities (omega coefficients > .9) and strong inter-temporal correlations for each scale across years were observed. The content of each scale was consistent across the three years, suggesting that structural shifts in the elements defining “agri-structure” were minimal. Because the 1980s were a turbulent period for U.S. agriculture, the patterns describing heterogeneity among counties in each year were investigated. Cluster analysis of each year's three factor scales produced five homogeneous groups of counties: three, dominated respectively by small-farms, farming-firms, and corporate-farms and two mixed groups, which we interpreted as reflecting transitional situations. Comparisons of these cluster groupings across the three years identified the emergence of counties typified by organizational patterns of firm-oriented and corporate-commercial farming. Moreover, the patterns of temporal movement by U.S. counties across this typology suggest a fundamental change from homogeneous family-centered small-farming concentrations dominant during most of this century. Implications of the findings are discussed.     

Contingencies in Mother–Child Teaching Interactions and Behavioral Regulation and Dysregulation in Early Childhood

Predictable patterns in early parent–child interactions may help lay the foundation for how children learn to self‐regulate. The present study examined contingencies between maternal teaching and directives and child compliance in mother–child problem‐solving interactions at age 3.5 and whether they predicted children's behavioral regulation and dysregulation (inhibitory control and externalizing behaviors) as rated by mothers, fathers, and teachers at a four‐month follow‐up (N = 100). The predictive utility of mother‐ and child‐initiated contingencies was also compared with that of frequencies of individual mother and child behaviors. Structural equation models revealed that a higher probability that maternal directives were followed by child compliance predicted better child behavioral regulation, whereas the reverse pattern and the overall frequency of maternal directives did not. For teaching, stronger mother‐ and child‐initiated contingencies and the overall frequency of maternal teaching all showed evidence for predicting better behavioral regulation. Findings depended on which caregiver was rating child outcomes. We conclude that dyadic measures are useful for understanding how parent–child interactions impact children's burgeoning regulatory abilities in early childhood.