A Non-parametric Estimation of Productivity with Idiosyncratic and Aggregate Shocks: The Role of Research and Development (R&D) and Corporate Tax

We develop a non-parametric technique framework for estimating firm-level Total Factor Productivity (TFP). Our paper has two major novelties: first, we propose a modelling of productivity with both firm-idiosyncratic factors and aggregate shocks. Second, we apply the Bayesian Markov Chain Monte Carlo (MCMC) technique that offers a numerical integration of productivity outside the posterior overcoming the restrictive assumptions about the relationship between productivity and variable production inputs. We implement our methodology in a group of 4,286 manufacturing firms from France, Germany, Italy, and the UK (2001–14). The results show that: (i) aggregate shocks matter for firm TFP evolution. The global financial crisis of 2008 caused severe, albeit short, adverse effects on TFP; (ii) there is substantial heterogeneity across countries in the way firms react to changes in R&D and taxation. German and UK firms are more sensitive to fiscal changes than R&D, while the opposite is true for Italian firms. R&D and taxation effects are symmetrical for French firms; (iii) the UK productivity handicap continues for years after the financial crisis; and (iv) there are substantial knowledge spillovers among German and Italian firms.     

The application of Operation and Technology Roadmapping to aid Singaporean SMEs identify and select emerging technologies

In order to aid Singaporean SMEs identify and select emerging technologies for business benefit, a modified process of the Cambridge T-Plan methodology has been introduced and applied to a pilot sample of 30 companies in a variety of manufacturing sectors. This fast and simple process takes the company through five key steps to enable them to create their first Operation and Technology Roadmap (OTR). The paper explains the background to the approach and focuses on the initial benefits identified by a survey of the pilot companies.     

Productivity Dispersion and Measurement Error

Several reasons have been put forward to explain the high dispersion of productivity across establishments: quality of management, different input usage and market distortions, to name but a few. Although it is acknowledged that a sizable portion of productivity dispersion may also be due to measurement error, little research has been devoted to identifying how much they contribute. We outline a novel procedure for identifying the role of measurement error in explaining the empirical dispersion of productivity across establishments. The starting point of our framework is the errors-in-variable model consisting of a measurement equation and a structural equation for latent productivity. We estimate the variance of the measurement error and subsequently estimate the variance of the latent productivity variable, which is not contaminated by measurement error. Using Norwegian data on the manufacture of food products, we find that about one percent of the measured dispersion stems from measurement error.     

Can integrated infrastructure investment plans contribute to more effective public spending? The case of Mozambique

All countries, especially developing countries with limited financial resources, face difficult decisions in prioritising public funds for investment projects in the face of multiple demands in order to achieve strategic public goals. Effective investment often requires coordination between different institutions and the management of political pressure to divert investment in support of private interests. It also requires the identification of appropriate sources of funds for different purposes. The preparation of an integrated infrastructure investment plan (IIIP) that uses structured approaches to review investment proposals has been suggested, and adopted in some cases, as an instrument to address these challenges and bridge the gap between national planning and sectoral budgeting. This article considers the experience of Mozambique in deploying an IIIP as well as some recent events and concludes that the instrument may be helpful as part of a system of investment planning and allocation but that it has significant limitations.     

Demokratische Internet-Öffentlichkeit? Ein Vergleich der öffentlichen Kommunikation im Internet und in den Printmedien am Beispiel der Humangenomforschung

The importance of the internet has increased significantly in recent years. The easy access of this »new« medium sparked many hopes for a democratization of the public sphere and of public debate: Many authors argued that the internet will make actors and interpretations of topics visible to those parts of the broader public who are usually marginalized in »old« mass media. In an empirical analysis, we compared print media coverage and internet communication to assess these claims. For the case of human genome research — i.e. a bioscientific topic that reseived extensive media attention in Germany —, we analyzed which actors were given public standing and which frames came to the fore. In contrast to the claims mentioned above, our findings indicate that the debate in the internet does not differ to a significant extent from the offline debate in print media. We could not find a more egalitarian, democratic communication in the internet.     

The people behind the scenes: Episodic volunteering at fundraising events

Nonprofit organizations (NPOs) have become increasingly dependent on episodic volunteers (EVs), those that would help carry out an event with little training and expectation to commit to future events. Despite its importance to the survival of NPOs, the use of EVs with respect to fundraising has received little research focus. Furthermore, none of the existing studies identified examined how fundraising EVs differ from other EVs. This study seeks to contribute to our understanding of fundraising EVs using a global perspective. Data were generated using surveys distributed in seven countries, tallying more than 4,000 respondents. Variables included demographic characteristics, previous donation and volunteer history, motives, mode of volunteering, and overall experience. The data were analyzed by applying between-group (logistic regression on participation) and within-group analysis (ordered logistic regression on willingness to participate in the future). Data were further analyzed by examining differences by country. We found that country, gender, religion, income, employment, history of donations, mode of volunteering, and several motives, both intrinsic and extrinsic, were significant in the logistic regression analysis of participation in fundraising episodic volunteering. The ordered logistic analysis unexpectedly found that the only predictors to foster a willingness to engage again were the responsiveness of the event team and a desire to fulfill spiritual satisfaction. In recruiting and selecting EVs for fundraising events, NPOs should consider previous or current donors and those with regular volunteering experience and they should market volunteer opportunities towards those in search of spiritual fulfillment and meaning. Moreover, NPOs should prioritize quick and clear communication with fundraising EVs in order to foster a willingness to volunteer again. Lastly, NPOs should regularly assess for country-specific factors and contexts that may affect episodic volunteering in fundraising events. Our paper illustrates who fundraising EVs are, their motives, how they choose to volunteer, and what contributes to their willingness to volunteer again. Given the limited research on fundraising EVs, this study serves to help lay the foundation of research for this unique subgroup. Our aim was to not only address the dearth of literature but serve as a springboard for future research on fundraising EVs.