Identifying social innovations in European local rural development initiatives

Social innovation is attracting increasing attention in research and policy, heightened by continuing austerity across Europe. Therefore, this paper examines earlier research into community-led local development (CLLD) initiatives in rural areas of Europe to develop our understanding of the meaning and scope of rural social innovation. We draw on a Schumpeterian view where innovations emerge from new combinations of resources that bring about positive changes and create value in society. A Schumpeterian social innovation framework is derived as the basis for re-analysing data from previous evaluations of LEADER policy in five different national contexts. This elicits a clearer understanding of social innovation in a rural development context, identifying different processes and outcomes that create social value. As the CLLD agenda and the demand for innovation in Europe gather pace, our aspirations are to inform future research and other initiatives on how to integrate social innovation into the design and evaluation of new rural development policies and programmes.     

Rank-Optimal Weighting or “How to be Best in the OECD Better Life Index?”

We present a method of rank-optimal weighting which can be used to explore the best possible position of a subject in a ranking based on a composite indicator by means of a mathematical optimization problem. As an example, we explore the dataset of the OECD Better Life Index and compute for each country a weight vector which brings it as far up in the ranking as possible with the greatest advance of the immediate rivals. The method is able to answer the question “What is the best possible rank a country can achieve with a given set of weighted indicators?” Typically, weights in composite indicators are justified normatively and not empirically. Our approach helps to give bounds on what is achievable by such normative judgments from a purely output-oriented and strongly competitive perspective. The method can serve as a basis for exact bounds in sensitivity analysis focused on ranking positions. In the OECD Better Life Index data we find that 19 out the 36 countries in the OECD Better Life Index 2014 can be brought to the top of the ranking by specific weights. We give a table of weights for each country which brings it to its highest possible position. Many countries achieve their best rank by focusing on their strong dimensions and setting the weights of many others to zero. Although setting dimensions to zero is possible in the OECD’s online tool, this contradicts the idea of better life being multidimensional in essence. We discuss modifications of the optimization problem which could take this into account, e.g. by allowing only a minimal weight of one. Methods to find rank-optimal weights can be useful for various multidimensional datasets like the ones used to rank universities or employers.     

Modelling of a thermomechanically coupled forming process based on functional outputs from a finite element analysis and from experimental measurements

In this paper, measurements from experiments and results of a finite element analysis (FEA) are combined in order to compute accurate empirical models for the temperature distribution before a thermomechanically coupled forming process. To accomplish this, Design and Analysis of Computer Experiments (DACE) is used to separately compute models for the measurements and the functional output of the FEA. Based on a hierarchical approach, a combined model of the process is computed. In this combined modelling approach, the model for the FEA is corrected by taking into account the systematic deviations from the experimental measurements. The large number of observations based on the functional output hinders the direct computation of the DACE models due to the internal inversion of the correlation matrix. Thus, different techniques for identifying a relevant subset of the observations are proposed. The application of the resulting procedure is presented, and a statistical validation of the empirical models is performed.     

Allometry and photosynthetic capacity of poplar (Populus deltoides) along a metal contamination gradient in an urban brownfield

The value of urban green space has become an increasingly controversial issue. In particular, development of novel vegetative assemblages on vacant lands may have many formerly unrecognized benefits. However, questions remain regarding the functional impairment of these assemblages due to degraded soils. We investigated the effects of elevated concentrations of soil metals on allometry and photosynthetic capacity of naturally colonized poplars (Populus deltoides Michx.) growing at Liberty State Park, New Jersey. We found that allometries of harvested trees did not differ significantly between the low metal load (LML) and high metal load (HML) sites suggesting that metal contamination did not negatively affect carbon allocation patterns of the target species. Likewise, photosynthetic parameters did not differ significantly between the LML and HML sites, suggesting that soil metal contamination did not negatively affect photosynthetic capacity. However, trees from the LML site were significantly younger for a given size than trees from the HML site. Trees from the medium metal load site (MML) differed significantly in allometry and photosynthetic parameters from the other two sites suggesting other edaphic and ecological factors are a stronger driver for carbon allocation patterns and photosynthetic capacity in these trees. Taken together, this research suggests that sapling establishment and growth may be impaired by heavy metals and that trees in HML sites may incur more maintenance costs than trees in LML sites. However, given enough time, poplars can provide considerable rehabilitation of urban brownfields, particularly those that exhibit soil metal contamination.     

Persistence and desistance in heavy cannabis use: the role of identity,agency, and life events

Many cannabis users ‘mature out’ of their drug use, and factors of cannabis use cessation have been identified. However, very little in-depth knowledge is available about the mechanisms underlying this phenomenon. Criminological studies have gained interesting insights in desistance from crime, yet these perspectives are rarely used in drug research. This qualitative, three-year longitudinal study explored the processes involved in desistance from frequent cannabis use for young adults. Using a narrative approach, desisters (frequent users who successfully quit their cannabis use) and persisters (frequent users with a persistent desire and unsuccessful attempts to quit) were compared. In the course of the study, desisters mainly exhibited increasing agency and goal setting, established strategies to achieve these goals, and could envision another self. Desistance was generally induced by life events that became turning points. Persisters experienced largely similar events, but lacked goals and strategies and held external factors responsible for their life course and failed quit attempts. Identity change is at the core of desistance from frequent cannabis use, and the meaning-giving to life events and experiences is essential. Agency is a necessary ingredient for desistance, develops over time and through action, and leads to a new drug-free identity with desistance in turn increasing agency.     

“Allochthones” in the Netherlands and Belgium

Schematically one can distinguish two traditions related to ethnic statistics in Europe. In France, Germany and most southern European countries, the dominant statistical categorisations merely distinguish individuals on the basis of their nationality. In contrast, most northern European countries have been producing data on the ethnic and/or foreign origin of their populations. Belgium is caught somewhere in between these two traditions. The French speaking part of Belgium tends to follow the French tradition of refusing ethnic categorisation, while the Flemish try to copy the Dutch model in distinguishing “allochthones” and “autochthones.” This contribution offers an analysis of the construction of ethnic categories as it has been undertaken in the Dutch context and (partially) imported in Belgium.     

Effects of Personal Salutations in E-mail Invitations to Participate in a Web Survey

Effects of personalizing survey invitations on response rateshave been extensively researched in the realm of mail surveys.Commonly, it is found that response rates increase when personalizationis applied. Recently, efforts have been made to investigatewhether these findings extend to the field of Web surveys thatuse e-mail invitations. Using data from a Web experiment conductedamong first-year university students, personalization of e-mailinvitations is shown to have significantly increased the responserate by 7.8 percentage points. From the theory that personalizationdecreases the level of anonymity and perceived privacy, differencesin responses to sensitive questions were expected. However,no effects of personalization on the responses to a questionprobing for respondents’ sexual behavior were found.     

Increases in Female Labour Force Participation in Europe: Similarities and Differences

Low educational levels and the effect of children are recognized as the most important factors for low female participation rates. Over the last decades female labour supply in Europe has shown a large increase. This may be related to changes in the level of education or fertility. It is also possible that it is due to changes in behaviour, as influenced by the social and institutional context. Our results show that increases in the participation rates cannot be explained by changes in either educational level nor in the number and timing of children. Female labour supply increases at all educational levels for women with and without children. In other words, it is mainly changes in behaviour that drive the increase in participation rates over the last decades.     

Discussion of paper 'explanations of the fertility crisis in modern societies: a search for commonalities', Population Studies 57(3): 241-263, by John Caldwell and Thomas Schindlmayr

The contributors to this discussion were invited to submit comments, each from a different standpoint, on the paper by John Caldwell and Thomas Schindlmayr that appeared in the preceding issue of the journal. The invitation was issued with the approval of these authors, and the journal is grateful to them for allowing their paper to be used to generate debate on the issues they had raised. The discussion is followed by the authors' response to it.