Gender and the dynamics of technology adoption: Empirical evidence from a household-level panel data

Very few empirical studies account for the dynamic nature of the agricultural technology adoption decision and none of these explores if this dynamic nature depends on the gender of the decision maker. Using four waves of a household-level Ugandan panel data, this is the first empirical analysis to account for self-learning (one's own adoption experience) in explaining current adoption decision in a developing country context, and the first to study the interaction between self-learning and gender. Technology adoption is defined as adoption of hybrid seed, inorganic fertilizer, or pesticides. Our results indicate that the dynamic panel data Probit model is superior to its static counterpart in the sense that self-learning, captured by lagged technology adoption indicators, is by far the most important determinant of technology adoption. We also find a weaker impact of self-learning for female-headed households than male-headed households. Female-headed households face fewer learning opportunities, which produce a lower self-learning impact in later periods, further exacerbating the gap in technology adoption among male- and female-headed households.     

Implications of Short Selling for Corporate Finance

Corporate managers often view short sellers as market manipulators whose actions drive their company's stock price below intrinsic value. But recent academic research suggests that some short sellers are effective in processing publicly available information and that their short selling may provide useful information to market participants. This article summarizes the authors’ own published research, which provides evidence of informed short selling by linking it to changes in corporate fundamentals. More specifically, the authors’ findings indicate that increases in short interest are reliable indicators of an economically (as well as statistically) significant decline in a company's operating performance over the following three years. And when examining changes in short interest around announcements of seasoned equity offerings, the authors also find a negative relation between an increase in short interest and future operating performance. In addition, they find that the greater the increase in short interest in the period leading up to the SEO announcement, the more negative is the stock‐price response to the announcement itself. The authors’ findings suggest that corporate managers can benefit from monitoring the short‐selling activity in their company's stock. Short‐selling data can be used to reassess corporate strategy or rethink major corporate decisions that have been announced but not carried out, and take preemptive actions to forestall impending future declines in performance and so preserve value.     

Indian Consumer Attitudes Toward Food Safety: An Exploratory Study

The aim of this research is to segment Indian consumers based on their attitudes toward food safety and to demographically characterize each segment with sound risk communication strategies and outreach program may be developed to target vulnerable groups. This article uses exploratory factor analysis and hierarchical cluster analysis to find the factors that accentuate consumers’ attitude toward food safety and generalizes the heterogeneity of consumer attitudes based on five factors: apprehension, trust, appetence for a high degree of regulation, acknowledgment from foodborne illness, and propensity for the right to purchase foods that are not guaranteed to be safe.     

Entrepreneurship Research Today and Beyond: Hidden in Plain Sight!

The field of entrepreneurship and its research has reached an critical and invigorating juncture. Researchers are challenged to be comprehensive, varied, and innovative in their approaches to the study of entrepreneurship. New and emerging future research must met this challenge to impact and sustain our complex world in which entrepreneurship plays such a vital role. The Entrepreneurship Research Journal provides a new and exciting venue for researchers to share and interact among their respective disciplines in new and different ways and to meet the research challenges now and in the future.     

Can off farm employment affect the privatization of social safety net? The case of self-employed farm households

This study uses a two-stage econometric framework with farm household level data to investigate whether off-farm work of operators and spouses influences healthcare expenditures and retirement savings. Results indicate that agricultural policy discourages off-farm work by farm operators and spouses. However, off-farm work decisions of farm couples significantly decrease healthcare expenditures and increase retirement savings of farm households in the US. The effect of farm spouse’s off-farm employment on household retirement saving is more pronounced. These conclusions can extend to middle-income countries where off-farm work may enable farmers to afford better healthcare and retirement pension plans.     

Investigating the relationship between health and economic growth: Empirical evidence from a panel of 5 Asian countries

In this paper, we investigate the relationship between health and economic growth through including investment, exports, imports, and research and development (R&D), for 5 Asian countries using panel unit root, panel cointegration with structural breaks and panel long-run estimator for the period 1974–2007. We model this relationship within the production function framework, and unravel two important results. First, we find that in all four variants of the growth model, variables share a long-run relationship; that is, they are cointegrated. Second, we find that in the long-run, while health, investment, exports, EDRD (the interaction term between education and R&D), and R&D have contributed positively to economic growth, imports have had a statistically significant negative effect while education has had an insignificant effect. We draw important policy implications from these findings.     

In union lies strength: Collaborative competence in new product development and its performance effects

It is widely recognized that new product development (NPD) is a highly interdependent process, yet efforts to empirically model the interdependence and examine its effect on firm performance are scarce. Our study addresses this research gap. We model firms’ abilities to collectively collaborate with suppliers, customers, and internal employee teams in NPD as collaborative competence and examine its impact on project and market performance. Using responses collected from 189 NPD managers, we find empirical evidence for collaborative competence and its differential impact on project and market performance. Specifically, we find that collaborative competence has a direct impact on project performance, but its impact on market performance is indirect, mediated through project performance. The results have significant managerial implications; achieving superior market performance from inter- and intra-organizational involvement is contingent on achieving superior project performance, and companies that fail to achieve desired project performance outcomes will also fail in achieving market performance goals.     

Semiparametric binary regression models under shape constraints with an application to Indian schooling data

We consider estimation of the regression function in a semiparametric binary regression model defined through an appropriate link function (with emphasis on the logistic link) using likelihood-ratio based inversion. The dichotomous response variable Δ$\Delta$ is influenced by a set of covariates that can be partitioned as (X,Z)$(X,Z)$ where Z$Z$ (real valued) is the covariate of primary interest and X$X$ (vector valued) denotes a set of control variables. For any fixed X$X$, the conditional probability of the event of interest (Δ=1$\Delta =1$) is assumed to be a non-decreasing function of Z$Z$. The effect of the control variables is captured by a regression parameter β$\beta$. We show that the baseline conditional probability function (corresponding to X=0$X=0$) can be estimated by isotonic regression procedures and develop a likelihood ratio based method for constructing asymptotic confidence intervals for the conditional probability function (the regression function) that avoids the need to estimate nuisance parameters. Interestingly enough, the calibration of the likelihood ratio based confidence sets for the regression function no longer involves the usual χ²${\chi }^2$ quantiles, but those of the distribution of a new random variable that can be characterized as a functional of convex minorants of Brownian motion with quadratic drift. Confidence sets for the regression parameter β$\beta$ can however be constructed using asymptotically χ²${\chi }^2$ likelihood ratio statistics. The finite sample performance of the methods are assessed via a simulation study. The techniques of the paper are applied to data sets on primary school attendance among children belonging to different socio-economic groups in rural India.     

The role of mutual trust in effective downsizing strategies

Several factors that explain differences in the downsizing strategies utilized in organizations are examined in this study of 91 organizations in the automotive industry. Specifically, mutual trust within a top management team is positively associated with a strategy based on organization redesign. Mutual trust between members of an organization and its key customers and suppliers is positively associated with a strategy based on systemic change. Moreover, these two strategies are positively associated with performance outcomes in the areas of cost reduction and quality improvement.