Firms’ human capital, R&D and innovation: a study on French firms

This article investigates the effects of human capital and technological capital on innovation. While the role of technological capital as measured by research and development (R&D) expenditure has been intensively investigated, few studies have been made on the effect of employee training on innovation. This article explores the relationship between innovation and firm employee training. Our methodological approach contributes to the literature in three ways. We propose various indicators of firm employee training. We build a count data panel with a long time-data series to deal with the issue of firms?? heterogeneity. We propose a dynamic analysis. Using dynamic count data models on French industrial firms over the period 1986?C1992, we find positive and significant effects of R&D intensity and training on patenting activity. Whatever the indicators of training our results show that the firm employee training has a positive impact on technological innovation.     

Technical efficiency analysis correcting for biases from observed and unobserved variables: an application to a natural resource management project

This article brings together the stochastic frontier framework with impact evaluation methodology to compare technical efficiency (TE) across treatment and control groups using cross-sectional data associated with the MARENA Program in Honduras. A matched group of beneficiaries and control farmers is determined using propensity score matching techniques to mitigate biases stemming from observed variables. In addition, possible self-selection arising from unobserved variables is addressed using a selectivity correction model for stochastic frontiers recently introduced by Greene (J Prod Anal 34:15?C24, 2010). The results reveal that average TE is consistently higher for beneficiary farmers than the control group while the presence of selectivity bias cannot be rejected. TE ranges from 0.67 to 0.75 for beneficiaries and from 0.40 to 0.65 for the control depending on whether biases were controlled or not. The TE gap between beneficiaries and control farmers decreases by implementing the matching technique and the sample selection framework decreases this gap even further. The analysis also suggests that beneficiaries do not only exhibit higher TE but also higher frontier output.     

Farsightedness in a Coalitional Great Fish War

We explore the implications of the farsightedness assumption on the conjectures of players in a coalitional Great Fish War model with symmetric players, derived from the seminal model of Levhari and Mirman (Bell J Econ 11:649–661, 1980). The farsightedness assumption for players in a coalitional game acknowledges the fact that a deviation from a single player will lead to the formation of a new coalition structure as the result of possibly successive moves of her rivals in order to improve their payoffs. It departs from mainstream game theory in that it relies on the so-called rational conjectures, as opposed to the traditional Nash conjectures formed by players on the behavior of their rivals. For values of the biological parameter and the discount factor more plausible than the ones used in the current literature, the farsightedness assumption predicts a wide scope for cooperation in non-trivial coalitions, sustained by credible threats of successive deviations that defeat the shortsighted payoff of any prospective deviator. Compliance or deterrence of deviations may also be addressed by acknowledging that information on the fish stock or on the catch policies actually implemented may be available only with a delay (dynamic farsightedness). In that case, the requirements are stronger and the sizes and number of possible farsighted stable coalitions are different. In the sequential move version, which could mimic some characteristics of fishery models, the results are not less appealing, even if the dominant player or dominant coalition with first move advantage assumption provides a case for cooperation with the traditional Nash conjectures.     

When does advice impact startup performance?

Why do some entrepreneurs thrive while others fail? We explore whether the advice entrepreneurs receive about managing their employees influences their startup's performance. We conducted a randomized field experiment in India with 100 high-growth technology firms whose founders received in-person advice from other entrepreneurs who varied in their managerial style. We find that entrepreneurs who received advice from peers with a formal approach to managing people—instituting regular meetings, setting goals consistently, and providing frequent feedback to employees—grew 28% larger and were 10 percentage points less likely to fail than those who got advice from peers with an informal approach to managing people, 2 years after our intervention. Entrepreneurs with MBAs or accelerator experience did not respond to this intervention, suggesting that formal training can limit the spread of peer advice.     

Experiment-inspired comments on John Roemer’s theory of cooperation

Abstract

We report on a nonsocial experiment where we find that all participants choose the dominant strategy in the experimental payoff, and compare it with the payoff-isomorphic, but social, Prisoner’s Dilemma treatment presented in a recent paper by Bosch-Domènech and Silvestre where 28% choose cooperation instead of the dominant strategy. The contrast reinforces Roemer’s emphasis on human cooperation. Next, we argue that Roemer’s Simple Kantian Equilibrium works well as a theory of cooperation under the assumption of monotonicity (positive or negative externalities), but not when efficient cooperation requires the division of labor by coordinating dissimilar tasks.     

What drives support for self-driving car technology in the United States?

Abstract

Recent advances in automotive technology have made fully automated self-driving cars technologically feasible. Despite offering many benefits such as increased safety, improved fuel efficiency, and greater disability access, public support for self-driving cars remains low. While previous studies find that demographic factors such as age and sex influence self-driving car support, limited research has examined variables that are well known to predict public attitudes toward emerging technology. Using self-report data from a quota sample of American adults (N?=?1008), we find that age and sex are not significantly associated with support for self-driving car policies when controlling for these other variables. Instead, significant predictors of support included trust in automotive institutions and regulatory bodies, recognition of self-driving car benefits, positive affect toward self-driving cars, and a greater perception that human-driven cars are riskier than self-driving cars. Importantly, we also find that individualism is negatively associated with support. That is, people who value personal autonomy and limited government regulation may perceive policies encouraging self-driving car use as threatening to their worldviews. Altogether, our results suggest strategies for encouraging greater public support of self-driving vehicles while also forecasting potential barriers as this technology emerges as a fixture in transportation policy.     

Here and there? Mobile money and the politics of transnational living patterns in West Africa

ABSTRACT

The authors examine the use of mobile money in the context of cross-border remittances in West Africa. Relying on mixed methods and a multi-sited empirical strategy they look at both the sending and receiving conditions of mobile money transfers. By looking at money as socially embedded and the role of migrants in the production of a transnational space, their results highlight that uptake and usage of mobile money for remittances are shaped by a transnational living pattern. At the same time, mobile money also contributes to strengthening and reshaping this pattern. By showing that conversion of virtual money to cash may be performed by brokers that live far away from the end recipient, the paper highlights an important gap between spatial distribution of mobile money infrastructure and the social mediation that supports e-money flows. Cash-based transactions, in turn, are shown to play a key role in the social mediation dynamic.     

Bargained Equality: The Strengths and Weaknesses of Workplace Gender Equality Agreements and Plans in France

‘Bargained equality’ reflects wider characteristics of French employment relations whereby state‐driven collective bargaining is a major mode of regulation but is based on weak workplace bargaining cultures outside the largest firms. This article focuses on duties on French employers to bargain on gender equality. It presents findings of a project evaluating workplace agreements and plans on gender equality, based on a sample of 186 agreements submitted in 2014–2015, in 10 sectors, and in‐depth interviews in 20 companies. Despite a rise in formal compliance due to stronger enforcement since 2012, our analysis shows that most companies submitting plans or agreements do not systematically address quantitative measurement of pay or other gender gaps. As well as sectoral differences, the analysis also identifies ‘generational effects’: processes of change which occur as collective agreements expire and are replaced are dependent on local dynamics of bargaining. Based on this analysis, we argue that attention should be paid to the resources available to local bargaining actors, in order to promote an equality agenda.     

Small business owners and health

Small Business Economics - The present article identifies a societal and scholarly neglect for the field of small business ownership and health. We address health capital and its spillover effects...