Did the Federal Crop Insurance Reform Act Alter Farm Enterprise Diversification?

We estimate how much United States farms changed enterprise diversification in response to a marked increase in crop insurance coverage brought about by the 1994 Federal Crop Insurance Reform Act, which substantially increased insurance subsidies. The analysis exploits farm‐level panel census data to compare farm‐specific changes in enterprise diversification over time. By examining diversification decisions of the same farms over time, we control for time‐invariant unobserved individual heterogeneity. We then use pooled cross‐sectional data from the United States Department of Agriculture (USDA) Agricultural Resource Management Survey to estimate the relationship between farm diversification and average returns. We find that the insurance subsidies caused a modest increase in enterprise specialisation and production efficiency. Estimated efficiency gains are far less than the subsidies.     

Restricted Visions of Multiracial Identity in Advertising

Mixed-race representations have become increasingly evident in marketing communications through the use of celebrity spokespersons like Misty Copeland and Halle Berry. This study explores the sociocultural ramifications of the ways in which marketers represent multiracial identity. Through an interdisciplinary review of pertinent literature, the authors create a theoretical framework for understanding the limitations of visual representations. A temporal model for discerning visual representations of the multiracial identity emerged by combining critical discourse analysis (CDA) techniques to investigate multiracial advertising depictions in eight popular U.S. magazines with interviews of multiracial women and advertising professionals. Findings suggest that marketers use mixed-race representations as cultural currency by mythologizing mixed-race bodies as the new beauty standard and as representing a racial bridge, physically and culturally tailored to ameliorate perceived racial divides. While visual representations in marketing communication have served to legitimatize and normalize mixed-race identity, these images generally ignore mundane consumption practices, obscure the relationships and processes that bring about multiracial bodies, and are devoid of sociopolitical context. The authors offer a framework through which scholars can systematically analyze the sociocultural significance of a wide range of identity coordinates utilized in advertisements and other forms of marketing communication.     

Dynamic R&D choice and the impact of the firm's financial strength

ABSTRACT

This article investigates how a firm's financial strength affects its dynamic decision to invest in R&D. We estimate a dynamic model of R&D choice using data for German firms in high-tech manufacturing industries. The model incorporates a measure of the firm's financial strength, derived from its credit rating, which is shown to lead to substantial differences in estimates of the costs and expected long-run benefits from R&D investment. Financially strong firms have a higher probability of generating innovations from their R&D investment, and the innovations have a larger impact on productivity and profits. Averaging across all firms, the long-run benefit of investing in R&D equals 6.6% of firm value. It ranges from 11.6% for firms in a strong financial position to 2.3% for firms in a weaker financial position.     

Generation Y’s Ethical Ideology and Its Potential Workplace Implications

Generation Y is a cohort of the population larger than the baby boom generation. Consisting of approximately 80 million people born between 1981 and 2000, Generation Y is the most recent cohort to enter the workforce. Workplaces are being redefined and organizations are being pressed to adapt as this new wave of workers is infused into business environments. One critical aspect of this phenomenon not receiving sufficient research attention is the impact of Gen Y ethical beliefs and ethical conduct in workplace contexts. It is widely accepted that distinct generational experiences shape ethical ideologies and ethical ideologies in turn affect the way people function in the workplace. Thus, Gen Y’s unique cohort experiences are likely to shape their ethical ideologies and consequent workplace judgments and actions. In this article, we examine Gen Y’s ethical ideology and study its impact on workplace functioning regarding leadership style, teamwork, and judgments about ethical violations. Our analyses indicate that Gen Y’ers tend toward situationalism (high idealism and high relativism), and their socially connected orientation produces more lenient judgments of collaborative vs. unilateral ethical violations. However, Gen Y’ers do exhibit individual variation. Relativist Gen Y’ers are more tolerant of ethical violations, whereas, Gen Y Idealists are less tolerant of ethical violations. High Idealists also show stronger teamwork and leadership characteristics. In addition, Gen Y’ers possessing servant leader traits exhibit incrementally better teamwork, and greater perceived unacceptability of ethical violations. We conclude by discussing implications of these findings for managing ethical climates and conduct.     

Conditions and intervention strategies for the deliberate acceleration of socio-technical transitions: lessons from a comparative multi-level analysis of two historical case studies in Dutch and Danish heating

ABSTRACT

Policy-oriented transition frameworks such as Strategic Niche Management, Transition Management, and Technological Innovation Systems offer limited analytical traction on deliberately accelerated socio-technical transitions. Using the Multi-Level Perspective as guiding framework, we therefore inductively explore the political acceleration of socio-technical transitions by investigating two deliberately accelerated heating transitions: the transition from coal and oil to natural gas in the Netherlands (1948–1973), and the transition from oil to district heating in Denmark (1945–1990), to draw lessons about the conditions and intervention strategies that facilitate rapid socio-technical change. We find that both cases were characterised by weakened regimes, stabilised niche-innovations, focusing events, and consensus between policymakers and business actors. User resistance was also low in both cases, partly because of public policies. Different focusing events in each case produced problem-driven versus opportunity-driven transition pathways; the former destabilised existing regimes but generated future-oriented uncertainty, while the latter facilitated rapid closure.     

Foreign Direct Investment,Transactions Linkages,and the Performance of the Domestic Sector

Using data from the UK Census of Production, including foreign ownership data, and information from UK industry input-output tables, this paper examines whether the intensity of transactions linkages between foreign and domestic firms affects productivity growth in domestic manufacturing industries. The implications of the findings for policies promoting linkages between multinational and domestic firms in the UK economy are outlined.     

Differencing of random walks and near random walks

The traditional rationale for differencing time series data is to attain stationarity. For a nearly non-stationary first-order autoregressive process—AR (1) with positive slope parameter near unity—we were led to a complementary rationale. If one suspects near non-stationarity of the AR (1) process, if the sample size is ‘small’ or ‘moderate’, and if good one-step-ahead prediction performance is the goal, then it is wise to difference the data and treat the differences as observations on a stationary AR (1) process. Estimation by Ordinary Least Squares then appears to be at least as satisfactory as nonlinear least squares. Use of differencing for an already stationary process can be motivated by Bayesian concepts: differencing can be viewed as an easy way to incorporate non-diffuse prior judgement—that the process is nearly non-stationary—into one's analysis. Random walks and near random walks are often encountered in economics. Unless one's sample size is large, the same statistical analyses apply to either.