Keeping up with the Vaishyas? Caste and relative standing in India

People care about relative, and not only absolute, income. Thispaper investigates the importance of relative income withinand between castes in the Indian caste system, using a choiceexperimental approach. The results indicate that slightly morethan half of the marginal utility of income comes from somekind of relative income effects, on average. This is comparableto the results from previous studies in other countries. Belongingto a low caste and having a low family income are associatedwith higher concern for relative income. Moreover, an increasein the mean income of the caste to which the individual belongs,everything else held constant, reduces utility for the individual.Thus, the negative welfare effect of having a reduced relativeincome compared to the own caste average income dominates thepositive welfare effect due to increased relative income ofthe own caste compared to the income of other castes.     

The Swedish industrial support program of the 1970s revisited

The economy-wide dynamic cost-benefit study of the Swedish industrial subsidy program 1976 through 1984 (Carlsson et al. Res Policy 10(43):336–354 1981; Carlsson J Ind Econ 32(1):9–14, 1983a, b) is revisited in light of later economic development. Since the Swedish Micro to Macro model (Eliasson Am Econ Rev 67(1):277–281 1977a, 2017a) was used for quantification, this article is both (1) a study on the calibration of high dimensional micro-based and nonlinear economic systems models, and (2) a post inquiry into the empirical credibility of the cost-benefit calculations performed. We find that the Micro-based Macro model represents the minimum of detailed resolution necessary for the dynamic cost benefit calculations of the micro interventions in the Swedish economy we study. Even though the increased model complexity meant significant parameter calibration difficulties, a thoroughly researched model specification with exactly defined policy interfaces (with the markets of the economy) should take priority over parameter estimation problems, and always be preferred to estimating the parameters of a wrongly specified model perfectly. The oil price shocks of the 1970s caused radical market disorder in the western economies, bankrupting some 35% of Swedish manufacturing and threatening the Swedish government with massive unemployment. We confirm the earlier results that the government choice of a radical employment rescue policy came at enormous social cost in the form of economic stagnation, and still did not prevent the unemployment of the rest of OECD Europe from hitting Sweden a decade later, and persisting well into the next millennium. According to an alternative simulated policy scenario on the model, had the subsidies been replaced with a general lowering of the payroll tax of the same magnitude and the consequent increase in unemployment taken immediately during 1976–1980, production structures would have been radically and rapidly reorganized, normal employment would have been rapidly restored, and neither the stagnation nor the radical increase in unemployment of the early 1990s would have occurred. In retrospect we see no reason to worry about the empirical credibility of this computed dynamic trade off between Keynesian demand and Schumpeterian supply effects (caused by resource reallocations and endogenous structural change due to the price change), as we did then. We conclude with certainty that this trade-off would not even have been discovered as a possibility had we used a traditional model that did not embody these micro-macro linkages.     

A survey-based choice experiment on coca cultivation

From 1997 to 2005, an astonishing 5200 million USD was invested to reduce cocaine production in Colombia, the world's main cocaine producer. However, little is known about the effectiveness of policies targeting coca cultivation. This paper uses a survey-based experiment to evaluate the effects of the two main policies: eradication and alternative development programs. Our results support Becker's (1968) model of crime participation and in addition shed light on other non-monetary factors that affect the coca cultivation decision: religion, legitimacy, remoteness, and poverty are found to be important. We find that coca cultivation is inelastic to increases in perceived risk and relative profit so eradication and alternative development would have a rather small effect on coca cultivation. A simple simulation exercise predicts that investing additional hundred thousand dollars in eradication decreases coca cultivation in only 1.5%.     

Dealing with Ignored Attributes in Choice Experiments on Valuation of Sweden’s Environmental Quality Objectives

Using a choice experiment, this paper investigates how Swedish citizens value three environmental quality objectives. In addition, a follow-up question is used to investigate whether respondents ignored any attributes when responding. The resulting information is used in model estimation by restricting the individual parameters for the ignored attributes to zero. When taking the shares of respondents who took both the environmental and the cost attributes (52–69% of the respondents) into account, then the WTP for each attribute changes if the respondents who ignored the attributes have a zero WTP. At the same time, we find evidence that not all respondents who claimed to have ignored an attribute really did. However, the most commonly ignored non-monetary attributes always have the lowest rankings in terms of WTP across all three environmental objectives. Thus, our results show that instead of ignoring attributes completely, respondents seem to put less weight on the attributes they claimed to have ignored.     

The evolving domain of entrepreneurship research

Research on entrepreneurship has flourished in recent years and is evolving rapidly. This article explores the history of entrepreneurship research, how the research domain has evolved, and its current status as an academic field. The need to concretize these issues stems partly from a general interest in defining the current research domain and partly from the more specific tasks confronting the prize committee of the Global Award for Entrepreneurship Research. Entrepreneurship has developed in many sub-fields within several disciplines—primarily economics, management/business administration, sociology, psychology, economic and cultural anthropology, business history, strategy, marketing, finance, and geography—representing a variety of research traditions, perspectives, and methods. We present an analytical framework that organizes our thinking about the domain of entrepreneurship research by specifying elements, levels of analysis, and the process/context. An overview is provided of where the field stands today and how it is positioned relative to the existing disciplines and new research fields upon which it draws. Areas needed for future progress are highlighted, particularly the need for a rigorous dynamic theory of entrepreneurship that relates entrepreneurial activity to economic growth and human welfare. Moreover, applied work based on more careful design as well as on theoretical models yielding more credible and robust estimates seems also highly warranted.     

Economic value of carbon sequestration in forests under multiple sources of uncertainty

The purpose of this paper is to calculate the value of stochastic carbon sequestration in climate change mitigation when also carbon dioxide emissions from fossil fuels and abatement costs are stochastic. The replacement cost method is used where the value of carbon sink is calculated as associated cost savings from replacement of more expensive mitigation options for achieving a given emission target. Minimum costs with and without carbon sinks are derived with a safety-first approach in a chance constrained programming framework which also accounts for variability in control costs. The theoretical results show that for high enough risk discount, carbon sink is not included in a cost effective mitigation program even when the carbon sink cost is zero. The empirical application to the EU independent commitment of 20% reduction in carbon dioxides shows large variation in carbon sink value depending on risk discount. Under no uncertainty, the value can correspond to 0.33% of total GDP in EU, but it declines due to the uncertainty associated with forest carbon sink and is zero for high probability levels in achieving the target. Thus, whether or not to recommend the inclusion of carbon sink in the EU climate policy depends on the uncertainty of carbon sinks in relation to other sources and on the importance of reaching stipulated emission reduction targets.     

Decision analytics mobilized with digital coaching

The context to be addressed is the digitalization of industry and industrial processes. Digitalization brings enhanced customer relationships and value‐chain integration, which are effective instruments to meet increasing competition and slimmer margins for productivity and profitability. Digitalization also brings more pronounced requirements for effective planning, problem solving and decision making in an increasingly complex and fast‐changing environment. Decision analytics will meet the challenges from the growing global competition that major industrial corporations face and will help solve the problems of big data/fast data that digitalization is generating as a by‐product. A mantra is appearing in business magazines – that powerful, intelligent systems will be effective tools for the digitalization of industrial processes – but much less attention appears to be paid to the fact that users need advanced knowledge and skills to benefit from the intelligent systems. First, an effective transfer of knowledge from developers, experts and researchers to users (including management) will be needed; second, the daily use and operations of the systems need to be supported, as automated, intelligent industrial systems are complex to operate. We look at this transfer as knowledge mobilization and will work out how the mobilization can be supported with coaching; this coaching needs to be digital, as human coaches are both scarce and too expensive to employ in large numbers.     

Family meals and disparities in global ecosystem dependency. Three examples: Ghana,Russia and Sweden

This article highlights globalization in terms of dependency on local and global ecosystems when it comes to family diets. In an exploratory case study, one typical meal in three household settings in different parts of the world: Ghana, Russia and Sweden, is examined. Food paths are traced to compare the scale of ecosystem dependency. The result shows that ecosystem dependency varies greatly with implications for environmental impact. The Swedish household, as opposed to the Ghanaian and the Russian, is not dependent on local ecosystems for food provision, but increasingly on global systems. Opportunities and constraints for lowering environmental impacts related to diets in different economies are discussed. It is concluded that it is of great importance to create awareness in high‐income countries of the dependency on the global ecosystem and the resulting environmental impacts. It is in these countries that opportunities are available for change towards more sustainable diets. It is suggested that further research need to explore in greater depth how ecosystem dependency differs and how that translates into broad spectra of environmental impacts, considering other dimensions of sustainable development as well.     

The missing link: knowledge diffusion and entrepreneurship in endogenous growth

The intellectual breakthrough contributed by the new growth theory was the recognition that investments in knowledge and human capital endogenously generate economic growth through the spillover of knowledge. However, endogenous growth theory does not explain how or why spillovers occur. This paper presents a model that shows how growth depends on knowledge accumulation and its diffusion through both incumbents and entrepreneurial activities. We claim that entrepreneurs are one missing link in converting knowledge into economically relevant knowledge. Implementing different regression techniques for the Organisation for Economic Co-operation and Development (OECD) countries during 1981 to 2002 provides surprisingly robust evidence that primarily entrepreneurs contributed to growth and that the importance of entrepreneurs increased in the 1990s. A Granger test confirms that causality goes in the direction from entrepreneurs to growth. The results indicate that policies facilitating entrepreneurship are an important tool to enhance knowledge diffusion and promote economic growth.