How do Agricultural Programmes Alter Crop Production? Evidence from Ecuador

Evaluating agricultural programmes requires considering not only the programmes’ influence on input and output indicators, but also considering the relationship between these indicators as embodied in the production technology. This article examines the impact on production of an intervention in the Ecuadorian Sierra designed to improve returns to potato production through training and through linking smallholders to high‐value markets. Critical to identifying the impact of the programme is the careful construction of a counterfactual and meticulous data collection. To assess the impact of the programme on production, a weighted estimation, where weights are constructed through propensity score matching, is employed to estimate a production function within a damage abatement framework. The function incorporates a series of interaction terms to assess the impact of the programme on the production technology. The findings provide evidence that the programme enhances yields both through a general shift in technology as well as increased input use. The results suggest that the use of effective farming techniques that are learned through the programme induce this technological shift.     

Modern variety adoption and risk management in drought prone areas: insights from the sorghum farmers of eastern Ethiopia

Adoption rates of improved or modern varieties (MV) of sorghum in eastern Ethiopia are generally low. Although these MV may represent an effective means of coping with droughts, given their early maturing traits, landraces could prove to be more drought‐tolerant and better adapted to marginal production conditions. Whether MV adoption is a risk reducing technology is very much an empirical question which this article investigates using a unique dataset from eastern Ethiopia in a year of extreme weather conditions. Results show that risk‐factors coupled with access to markets and social capital drive farmers’ decisions to adopt MVs. On the one hand, it appears that farmers use MVs to mitigate moderate risks. On the other hand, farmers who have been most vulnerable to extreme weather events are less likely to use MVs suggesting that MV adoption does not necessarily represent an effective means of coping with drought. Finally, findings show that MV growers are more likely to be affected by sorghum failure once controlling for exogenous production factors.     

Grasping the potential of online social networks for foresight

Online Social Networks (OSNs) have gained unprecedented popularity in recent years. OSNs facilitate the interaction among members by providing a dynamic/multimodal platform which enables discussions, sharing of multimedia content, organisation of events, etc. These networks comprise millions of members from all continents and from all age groups — although the younger generation is more prominent. OSN dynamics and inherent patterns of operation are being investigated by academia as a means of studying, for instance, ICT-enhanced social change. Industry uses them to detect new commercial trends and establish marketing strategies.We believe that the huge size of OSNs, the broad and versatile thematic topics and the fact that most users are youngsters made these new modalities of large-scale interaction also worth investigating in regard to the study of the future or foresight. In this paper, we discuss the relevance of OSNs for three objectives of foresight methods, namely creativity, expertise and collective intelligence.First, we argue that OSNs can be regarded as a tool to enhance creativity through the unprecedented modalities of communication and interaction they offer.Second, we propose OSNs as an expert tool to detect emerging changes in social behaviour. We assume that the recorded exchanges of information and thoughts between participants in forums offers an under-exploited source of information for detecting new social trends. The value of this information may be amplified by evaluating it in conjunction with other OSN data, such as member profiles, behavioural patterns or list of contacts or friends. In this way, emerging social trends could be detected. Similar approaches are already used in market research and could be transferred to foresight.Third, we consider OSNs to be a means of aligning individual thinking and fostering collective or “collaborative” intelligence for a whole range of possible goals in the future.For each of these three objectives, the theoretical foundations are complemented with some case studies. Given the novelty of the OSN phenomenon and its unexplored potential in many fields, the authors aim to trigger thinking and discussion on the potential application of this emerging phenomenon within foresight, rather than to offer a vademecum on the use of OSNs for foresight activities.     

High-performance work system and intention to leave: a mediation model

To address recent calls in the literature for additional work on the role of high-performance work systems (HPWS) in determining individual outcomes, this study examines the relationship between employees' perceptions of HPWS and intention to leave, as well as the possible mediating role of job satisfaction, procedural justice and intrinsic motivation in this relationship. The model is tested with EQS 6.1, on a sample of 155 engineers from 19 different companies and industries. Results indicate that HPWS is associated positively with job satisfaction, procedural justice and intrinsic motivation. Results also show that only job satisfaction mediates the relationship between HPWS and engineers' intention to leave, whereas procedural justice and intrinsic motivation mediate the relationship between HPWS and job satisfaction.     

Firms’ money demand and monetary policy

Standard New Keynesian models for monetary policy analysis are ‘cashless’. When the nominal interest rate is the central bank's operating instrument, the LM equation is endogenous and, it is argued, can be ignored. The modern theoretical and quantitative debate on the importance of money for monetary policy conduct, however, overlooks firms’ money demand. Working in an otherwise canonical New Keynesian setup, we show that macroeconomic dynamics are critically affected by the firms’ money demand choice. Under the conventional Taylor‐rule framework, we prove that equilibrium determinacy may require either an active interest rate policy, overreacting to inflation, or a passive interest rate policy, underreacting to inflation, depending on the elasticity of production with respect to cash balances. We then develop a numerical analysis to evaluate our theoretical results. We find that macroeconomic stability is more likely to occur under an active, but not overly aggressive, monetary policy stance. We also examine the dynamic effects of forward‐looking feedback rules. We show that, in this policy regime, indeterminacy is likely to be induced by both active and passive rules, even for relatively low productivity effects of money.     

Comparing the Explanatory Capacity of Three Constructs in the Prediction of Engineers’ Proficiency,Adaptivity, and Proactivity

Advances in the research of work performance have been due in large part to the conceptualization of performance as a multidimensional construct. Recently, Griffin, Neal, and Parker (2007), have identified three different dimensions of work role performance: proficiency, adaptivity, and proactivity. Social effectiveness constructs (i.e., political skill) have been receiving increased attention in research and there have been recent calls for further research in the area. This study compares the explanatory capacity of political skill, professional experience and intrinsic motivation in the prediction of engineers' proficiency, adaptivity, and proactivity. The relationships were tested with structural equations analysis of 180 supervisor‐engineer dyad data. Results indicate that the three dimensions of individual work performance are significantly influenced by political skill and professional experience, but not by intrinsic motivation. The results also indicate that political skill is the strongest predictor. © 2014 Wiley Periodicals, Inc.