Where there is smoke, there is (the potential for) fire: soft indicators of research and policy impact

There is a growing literature examining the impact of research on informing policy, and of research and policy on practice. Research and policy do not have the same types of impact on practice but can be evaluated using similar approaches. Sometimes the literature provides a platform for methodological debate but mostly it is concerned with how research can link to improvements in the process and outcomes of education, how it can promote innovative policies and practice, and how it may be successfully disseminated. Whether research-informed or research-based, policy and its implementation is often assessed on such 'hard' indicators of impact as changes in the number of students gaining five or more A to C grades in national examinations or a percentage fall in the number of exclusions in inner city schools. Such measures are necessarily crude, with large samples smoothing out errors and disguising instances of significant success or failure. Even when 'measurable' in such a fashion, however, the impact of any educational change or intervention may require a period of years to become observable. This paper considers circumstances in which short-term change may be implausible or difficult to observe. It explores how impact is currently theorized and researched and promotes the concept of 'soft' indicators of impact in circumstances in which the pursuit of conventional quantitative and qualitative evidence is rendered impractical within a reasonable cost and timeframe. Such indicators are characterized by their avowedly subjective, anecdotal and impressionistic provenance and have particular importance in the context of complex community education issues where the assessment of any impact often faces considerable problems of access. These indicators include the testimonies of those on whom the research intervention or policy focuses (for example, students, adult learners), the formative effects that are often reported (for example, by head teachers, community leaders) and media coverage. The collation and convergence of a wide variety of soft indicators (Where there is smoke …) is argued to offer a credible means of identifying subtle processes that are often neglected as evidence of potential and actual impact (… there is fire).

Identifying childhood deprivation:How well do national indicators of poverty and social exclusion in Ireland Perform?

In the context of the significance that the life-cycle has been afforded in social policy discussion in Ireland, current national measures of poverty and social exclusion have been criticised for failing to capture such phenomena accurately in relation to particular stages of the life-course. In this paper we have taken advantage of the inclusion of a special module on childhood deprivation in EU-SILC 2009 to create reliable measures of both household basic deprivation and childhood deprivation. Overall, our analysis leads us to the conclusion that those exposed to childhood deprivation are generally a sub-set of the children captured by population indicators. Adopting a multidimensional and dynamic perspective on household resources and deprivation enables us to capture the large majority of children exposed to childhood deprivation. Restricting our attention to childhood deprivation would lead us to miss out on a significant number of children living in households experiencing basic deprivation but not exposed to childhood deprivation. It would be unwise to assume that such deprivation has no consequences for children. While there is clearly a value in supplementing existing national measures with child specific indicators, it would not appear sensible to rely solely on the latter.

Network Topology, Higher Orders of Stability and Efficiency

Stable networks of order r where r is a natural number refer to those networks that are immune to coalitional deviation of size r or less. In this paper, we introduce stability of a finite order and examine its relation with efficient networks under anonymous and component additive value functions and the component-wise egalitarian allocation rule. In particular, we examine shapes of networks or network architectures that would resolve the conflict between stability and efficiency in the sense that if stable networks assume those shapes they would be efficient and if efficient networks assume those shapes, they would be stable with minimal further restrictions on value functions.

Inclusive development? State-led land development model in New Town, Kolkata

Urban land development in India is changing under the auspices of economic liberalisation. Kolkata has been in the forefront of this transformation through development of new townships in the urban peripheries based on a distinctive state-led land development model. Within this context New Town, Kolkata (also known as Rajarhat) provides a highly illuminative case to articulate the ways in which the state is implementing its neoliberal agenda in land development. It rides on political and ideological high ground by seeking to create a ‘model development’ of state–market partnership for dual goals of fostering capitalist interest while fulfilling welfarist principles. Interesting insights have emerged that point to a policy paradox. On one hand, the process follows market principles of efficacy and efficiency; on the other hand, state’s keenness to extend control persists, thereby creating a highly uneven terrain for state–market interaction. New Town reflects a typical quasi-market condition shaped by the monopolistic state, the poorly structured role of the private sector, an absence of civic bodies, and minimal land and housing provision for the poor. In India, as internationally, the economic liberalisation market ideology is increasingly construed as good governance. In this context New Town is a step in the right direction, but the progress is patchy, uneven, and still evolving.

Latent vs. Observed Variables: Analysis of Irrigation Water Efficiency Using SEM and SUR

In this paper we compare conceptualising single factor technical and allocative efficiency as indicators of a single latent variable, or as separate observed variables. In the former case, the impacts on both efficiency types are analysed by means of structural equation modeling (SEM), in the latter by seemingly unrelated regression (SUR). We compare estimation results of the two approaches based on a dataset on single factor irrigation water use efficiency obtained from a survey of 360 farmers in the Guanzhong Plain, China. The main methodological findings are that SEM allows identification of the most important dimension of irrigation water efficiency (technical efficiency) via comparison of their factor scores and reliability. Moreover, it reduces multicollinearity and attenuation bias. It thus is preferable to SUR. The SEM estimates show that perception of water scarcity is the most important positive determinant of both types of efficiency, followed by irrigation infrastructure, income and water price. Furthermore, there is a strong negative reverse effect from efficiency on perception.