Structural Decomposition Analysis of Physical Flows in the Economy

Many environmental problems can be attributedto the extraction and emissions of physicalsubstances. Increasing our understanding of theeconomic and technological driving forcesbehind these physical flows can contribute tosolving the environmental problems related tothem. The input-output framework is a usefulsetting in which to integrate detailedinformation about economic structure andphysical flows. In this article a specificmethod in input-output analysis is reviewed,namely Structural Decomposition Analysis (SDA).It is based on comparative static analysis,which decomposes historical changes of a policyvariable into determinant effects. SDA has beenapplied, for example, to analyze the demand andtechnological driving forces of energy use,CO₂-emissions and various other pollutantsand resources. This article examines thetheoretical aspects of structuraldecomposition, in particular those concerningphysical flows and environmental issues.Furthermore, the article includes an extensivesurvey of empirical studies.     

Spatial welfare economics versus ecological footprint: modeling agglomeration,externalities and trade

A welfare framework for the analysis of the spatial dimensions of sustainability is developed. It covers agglomeration effects, interregional trade, negative environmental externalities, and various land use categories. The model is used to compare rankings of spatial configurations according to evaluations based on social welfare and ecological footprint indicators. Five spatial configurations are considered for this purpose. The exercise is operationalized with the help of a two-region model of the economy, that is, in line with the ‘new economic geography.’ By generating a number of numerical ‘counter-examples,’ it is shown that the footprint method is inconsistent with an approach aimed at maximum social welfare. Unless environmental externalities are such a large problem that they overwhelm all other components of economic well-being, a ‘spatial welfare economic’ approach delivers totally different rankings of alternative land use configurations than the ecological footprint.      

EXPERIMENTAL AND SELF‐REPORTED MEASURES OF RISK TAKING AND DIGIT RATIO (2D:4D): EVIDENCE FROM A LARGE,SYSTEMATIC STUDY

We systematically investigate the links between the digit ratio (2D:4D)—a biomarker for prenatal testosterone exposure—and two measures of individual risk taking: (i) risk preferences (RP) over lotteries with real monetary incentives and (ii) self‐reported risk attitude (RA). We find that both the right‐hand and the left‐hand digit ratio are significantly associated with RP: Subjects with lower digit ratios tend to choose riskier lotteries. Neither digit ratio, however, is associated with self‐reported RA.     

Market novelty, competence-seeking and innovation networking

Studies of innovation networking have frequently been concerned with the occurrence of dyadic relationships and with their apparent impact on simple measures of firm-level innovation outputs. This paper takes a more detailed look by analyzing the connection between different types of innovation and forms of networking. Based on the market novelty of innovation outcomes and the extent to which innovation activities require new competences, four types of innovation are identified. It is proposed that these types correlate with various innovation network dimensions, including the volume of networks, the strength and content of ties, and the specificity of ties. Drawing on survey data of 594 innovations realized by Dutch small firms, it is observed that the requirement to access new competences for innovation correlates positively with the number of network partners involved. We also note more subtle connections between types of innovation and networking, including that novel innovation outputs correlate with using network partners as a source of inspiration, whilst new competences associate with networking for knowledge capital. In the latter case, these activities also draw on new and intended ties relatively often, i.e. network partners which are actively sought out for the specific contributions they may make to the innovation process. Finally, innovation which is simultaneously new-to-the market and requires new competences uses strong ties relatively often. Implications for innovation policy and practice are discussed.     

Dynamism and realignment in the HR architecture: Online labor platform ecosystems and the key role of contractors

Given the widespread contribution of independent contractors to organizational innovation and competitive advantage, it is timely to reassess assumptions about the HRM practices appropriate to their management and the rationale for organizations to work with them. In the original and highly influential HR architecture model of Lepak and Snell (1999), contractor status is viewed as an outcome of the low value and/or low uniqueness of human capital resulting in the proposition to externalize and manage them using either none or minimal compliance-based HRM practices. Developments in digital technologies and algorithmic management epitomized by online labor platforms prompt us to reconsider these assumptions and to challenge the proposed links between value/uniqueness of human capital, employment mode and HRM practices that are assumed by the HR architecture model. Using insights from online labor platforms, we argue that the significant benefits to firms of working with contractors, coupled with the possibilities offered by algorithmic management to efficiently monitor and regulate their behavior, provide a compelling reason for organizations to choose external employment modes even when workers are key to value creation. We challenge the alignment and stability of the relationships proposed by the HR architecture model, and offer propositions to extend the model by reconsidering the rationale for, and nature of, HRM practices associated with contractors. This reassessment is both timely and relevant given the growing prominence of business models where externalizing workers is central alongside the development of new forms of algorithmic human resource management to control them.     

R&D Efficiency Gains Due to Cooperation

A theoretical and widely-quoted finding is that levels of cooperative R&D exceed noncooperative R&D levels when technological spillovers are relatively large, while the opposite holds for relatively small technological spillovers. We qualify this result by showing that for relatively small technological spillovers the comparison is not driven by the extent of technological spillover, but by the increase in technological spillover due to cooperation in R&D. In particular, an agreement to cooperate in R&D always raises R&D efforts if the post-cooperative technological spillover rate is high enough.     

The Importance of Monitoring for Developing Intra-Group Trust in Ethiopian Female Workgroups

We examine the relation between intra-group trust and monitoring in a patriarchal society, and how this relation affects workgroup performance. Data were collected from 352 women who were members of 72 female workgroups in Addis Ababa by means of field experiments and a survey. The data are analyzed using multiple mediation analysis. We find that intra-group trust needs time to develop, and that trust is higher in workgroups with more monitoring. The positive relation between monitoring and trust might be explained by women’s ambition to overcome disempowerment and negative gender stereotypes. The results also indicate positive effects of intra-group trust and monitoring on workgroup performance, and that the effect of monitoring runs through its relation with trust. The last finding stresses the importance of monitoring for developing intra-group trust in these female workgroups.     

The Ethical Mutual Fund Performance Debate: New Evidence from Canada

Although the academic interest in ethical mutual fund performance has developed steadily, the evidence to date is mainly sample-specific. To tackle this critique, new research should extend to unexplored countries. Using this as a motivation, we examine the performance and risk sensitivities of Canadian ethical mutual funds vis-à-vis their conventional peers. In order to overcome the methodological deficiencies most prior papers suffered from, we use performance measurement approaches in the spirit of Carhart (1997, Journal of Finance 52(1): 57–82) and Ferson and Schadt (1996, Journal of Finance 51(2): 425–461). In doing so, we investigate the aggregated performance and investment style of ethical and conventional mutual funds and allow for time variation in the funds’ systematic risk. Our␣Canadian evidence supports the conjecture that any␣performance differential between ethical mutual funds and their conventional peers is statistically insignificant.      

Ethical Codes in Sports Organizations: Classification Framework,Content Analysis,and the Influence of Content on Code Effectiveness

Although there is a growing body of research on social media, only few studies have considered organic products. Therefore, this study mapped the diffusion path of the social media resources for organic products in Mexico and South Korea through Twitter and compared the contents of tweets about organic products in terms of their semantic and hyperlink networks using webometric methods. The results indicate that for organic products, Koreans sent tweets much more frequently than Mexicans. Mexican tweets focused on basic food products in street markets, whereas Korean tweets highlighted promotions and firms, revealing the corporatist structure of its economy. In both cases, the findings support Twitter as a useful tool for Word-of-Mouth Communication on the online environment, among product consumers, and between consumers and enterprises.