Scrambled systems: the (im)mobilities of ‘storm Desmond’

This article examines a 3-day blackout, triggered by a ‘1-in-100-year’ rainfall event. Storms and floods account for almost three-quarters of weather-related disasters, and are typically accompanied by cascading infrastructure failures, which pattern and amplify their effects in highly significant ways. Such disruptions reveal aspects of everyday life that ordinarily remain obscure, including capacities for resilience embodied in people, cities and infrastructure. The article proposes that disruption events be understood in terms of ‘scrambles’, as they involve abrupt demobilisation and remobilisation of a range of people and materials. The article firstly examines the astonishing capacity for failure latent in ‘pervasively powered’ arrangements, as well as the many ways in which people and things were ‘scrambled’ in response. The article then proceeds to explore the ways in which vulnerabilities result in part from mobilisation in response to previous disruption events, before examining the ‘circuits’ that link far-flung places in mobile disaster geographies, global patterns of electricity dependence, the rise of data overload in the ‘cloud’ to carbon overload in the atmosphere. The article concludes by presenting further evidence in support of the thesis that disruptions and disasters are part of a ‘new normal’, and what this means for prevailing sociotechnical arrangements reliant on ‘sunk’ infrastructure.     

A reconsideration of the tradeoffs in the new human development index

This paper demonstrates that the perfect tradeoff implication of the old Human Development Index can be avoided by employing a notion of imperfect tradeoff in the characterization of the Human Development Index. The resulting index is shown to be ordinally equivalent to the Chakravarty (Rev Dev Econ 7:99–114, 2003) generalized Human Development Index.     

Poverty and time

We examine the measurement of individual poverty in an intertemporal context. Our aim is to capture the importance of persistence in a state of poverty and we characterize a corresponding individual intertemporal poverty measure. Our first axiom requires that intertemporal poverty is identical to static poverty in the degenerate single-period case. The remaining two properties express decomposability requirements within poverty spells and across spells in order to reflect the persistence issue. In addition, we axiomatize an aggregation procedure to obtain an intertemporal poverty measure for societies and we illustrate our new index with an application to EU countries.     

Ranking Income Distributions by Deprivation Orderings

This paper has examined the problem of ranking income distributions using absolute deprivation ordering. It appears that the ranking of distributions by this ordering may be more unambiguous than that generated by the relative deprivation ordering. The class of average deprivation indices consistent with the absolute deprivation criterion is also identified.     

Population growth and poverty measurement

If the absolute number of poor people goes up, but the fraction of people in poverty comes down, has poverty gone up or gone down? The economist’s instinct, framed by population replication axioms that undergird standard measures of poverty, is to say that in this case poverty has gone down. But this goes against the instinct of those who work directly with the poor, for whom the absolute numbers notion makes more sense as they cope with more poor on the streets or in the soup kitchens. This paper attempts to put these two conceptions of poverty into a common framework. Specifically, it presents an axiomatic development of a family of poverty measures without a population replication axiom. This family has an intuitive link to standard measures, but it also allows one or other of “the absolute numbers” or the “fraction in poverty” conception to be given greater weight by the choice of relevant parameters. We hope that this family will prove useful in empirical and policy work, where it is important to give both views of poverty—the economist’s and the practitioner’s—their due.     

The Measurement of Multidimensional Poverty

Many authors have insisted on the necessity of defining poverty as a multidimensional concept rather than relying on income or consumption expenditures per capita. Yet, not much has actually been done to include the various dimensions of deprivation into the practical definition and measurement of poverty. Existing attempts along that direction consist of aggregating various attributes into a single index through some arbitrary function and defining a poverty line and associated poverty measures on the basis of that index. This is merely redefining more generally the concept of poverty, which then essentially remains a one dimensional concept. The present paper suggests that an alternative way to take into account the multi-dimensionality of poverty is to specify a poverty line for each dimension of poverty and to consider that a person is poor if he/she falls below at least one of these various lines. The paper then explores how to combine these various poverty lines and associated one-dimensional gaps into multidimensional poverty measures. An application of these measures to the rural population in Brazil is also given with poverty defined on income and education.     

Financial inclusion in India: An axiomatic approach

In this paper we first develop an axiomatic measure of financial inclusion. This measure is readily implementable and useful to determine policy priorities to promote financial inclusion. Next, we demonstrate that supply side data on banking services can be usefully employed to measure financial inclusion. Third, we examine the effects of major banking policies on financial inclusion across states in India during 1972–2009, using panel data econometrics techniques. We find that the social-banking policy has played crucial role to foster financial inclusion across states in India during 1977–1990. Thereafter, the move toward pro-market financial sector reform has adversely affected the pace of financial inclusion. This paper identifies geographic penetration of banks and credit availability as two policy targets to foster financial inclusion in India.     

Inference on Overlap for Two Inverse Gaussian Populations: Equal Means Case

The inverse Gaussian distribution is often suited for modeling positive and/or positively skewed data (see Chhikara and Folks, 1989 Chhikara , R. S. , Folks , J. L. ( 1989 ). The Inverse Gaussian Distribution . New York : Marcel Dekker . [Google Scholar]) and presents an interesting alternative to the Gaussian model in such cases. We note here that overlap coefficients and their variants are widely studied in the literature for Gaussian populations (see Mulekar and Mishra, 1994 Mulekar , M. , Mishra , S. N. ( 1994 ). Overlap coefficients of two normal densities: equal means case . J. Japan. Statist. Soc. 24 : 169 – 180 . [Google Scholar], 2000 Mulekar , M. , Mishra , S. N. ( 2000 ). Confidence interval estimation of overlap: equal means case . Computat. Statist. Data Anal. 34 : 121 – 137 .[Crossref], [Web of Science ®] , [Google Scholar], and references therein for further details). This article studies the properties and addresses point estimation for large samples of commonly used measures of overlap when the populations are described by inverse Gaussian distributions. The bias and mean square error properties of the estimators are studied through a simulation study.