Local agency, adaptation and the shadow system: The institutional architecture of social learning in rural areas of the UK and India

Rural communities across the world face at times a range of environmental, social and economic pressures that threaten their viability in their current form. The ability of local actors to exercise agency in response to potential and emerging threats is of key interest in understanding their capacity to adapt. This paper argues that top-down narratives which focus on canonical organisations and formal institutions are at best a partial account of rural adaptation. More attention needs to be paid to the shadow system, the web of informal and often hidden relationships that permeate public and private life. In the organisational and institutional literature, shadow systems have been discounted as either too complex to be tractable or an inevitable source of corruption and nepotism. Two case studies are presented to establish that neither claim is inexorably true: (i) the adaptation of dairy farmers to market and climate change in Carmarthenshire, South Wales and (ii) NGO mediation of community/state interaction in Tamilnadu, South India. In conclusion, some theoretical and methodological themes are highlighted for further research. These hold the potential to enable a better understanding of the shadow system, and its potential and pitfalls as a site of local agency in rural adaptation. Acnowledgements: This paper draws on learning from two research projects: (i) 'Rapid climate change in the UK: towards an institutional theory of adaptation', funded by the UK Economic and Social Science Research Council's Environment and Human Behaviour Programme, and (ii) 'Thaan Vuzha Nilam Tharisu: The land without a farmer becomes barren', carried out by SPEECH, a Tamil NGO, as part of a larger International Institute for Environment and Development research programme – 'Policies that Work for Sustainable Agriculture and Regenerating Rural Economies.� The authors gratefully acknowledge the financial and institutional assistance that made this research possible

Can Network Theory-based Targeting Increase Technology Adoption?

In order to induce farmers to adopt a productive new agricultural technology, we apply simple and complex contagion diffusion models on rich social network data from 200 villages in Malawi to identify seed farmers to target and train on the new technology. A randomized controlled trial compares these theory-driven network targeting approaches to simpler strategies that either rely on a government extension worker or an easily measurable proxy for the social network (geographic distance between households) to identify seed farmers. Our results indicate that technology diffusion is characterized by a complex contagion learning environment in which most farmers need to learn from multiple people before they adopt themselves. Network theory based targeting can out-perform traditional approaches to extension, and we identify methods to realize these gains at low cost to policymakers. Keywords: Social Learning, Agricultural Technology Adoption, Complex Contagion, Malawi JEL Classification Codes: O16, O13Comment: 61 page

Opening the 'black box' of efficiency measurement: input allocation in multi-output settings

We develop a new Data Envelopment Analysis (DEA)-based methodology for measuring the efficiency of Decision Making Units (DMUs) characterized by multiple inputs and multiple outputs. The distinguishing feature of our method is that it explicitly includes information about output-specific inputs and joint inputs in the efficiency evaluation. This contributes to opening the „black box? of efficiency measurement in two different ways. First, including information on the input allocation substantially increases the discriminatory power of the efficiency measurement. Second, it allows to decompose the efficiency value of a DMU into output-specific efficiency values which facilitates the identification of the outputs the manager should focus on to remedy the observed inefficiency. We demonstrate the usefulness and managerial implications of our methodology by means of a unique dataset collected from the Activity Based Costing (ABC) system of a large service company with 290 DMUs.

Calculating the scale elasticity in DEA models.

In economics scale properties of a production function is charcterised by the value of the scale elasticity. In the field of efficiency studies this is also a valid approach for the frontier production function. It has no good meaning to talk about scale properties of inefficient observations. In the DEA literature a qualitative characterisation is most common. The contribution of the paper is to apply the concept of scale elasticity from multi output production theory in economics to the piecewise linear frontier production function, and to develop formulas for calculating values of the scale elasticity for radial projections of inefficient observations. Illustrations also on real data are provided, showing the differences between scale elasticity values for the input- and output oriented projections and the range of values for efficient observations.Scale elasticity; DEA, production theory; Farrell efficiency measures

Analyzing Cost Efficient Production Behavior Under Economies of Scope: A Nonparametric Methodology

In designing a production model for firms that generate multiple outputs, we take as a starting point that such multi-output production refers to economies of scope, which in turn originate from joint input use and input externalities. We provide a nonparametric characterization of cost efficient behavior under these conditions, and subsequently institute necessary and sufficient conditions for data consistency with such efficient behavior that only include observed firm demand and supply data.We illustrate our methodology by examining the cost efficiency of research programs in Economics and Business Management faculties of Dutch universities.This application shows that the proposed methodology may entail robust conclusions regarding cost efficiency differences between universities within specific specialization areas, even when using shadow prices to evaluate the different inputs.production behavior;multi-product firms;input externalities;joint input use;economies of scope;nonparametric tests

Condor services for the Global Grid:interoperability between Condor and OGSA

In order for existing grid middleware to remain viable it is important to investigate their potentialfor integration with emerging grid standards and architectural schemes. The Open Grid ServicesArchitecture (OGSA), developed by the Globus Alliance and based on standard XML-based webservices technology, was the first attempt to identify the architectural components required tomigrate towards standardized global grid service delivery. This paper presents an investigation intothe integration of Condor, a widely adopted and sophisticated high-throughput computing softwarepackage, and OGSA; with the aim of bringing Condor in line with advances in Grid computing andprovide the Grid community with a mature suite of high-throughput computing job and resourcemanagement services. This report identifies mappings between elements of the OGSA and Condorinfrastructures, potential areas of conflict, and defines a set of complementary architectural optionsby which individual Condor services can be exposed as OGSA Grid services, in order to achieve aseamless integration of Condor resources in a standardized grid environment

Student Perceptions of Enhancing the Internship Experience for Online Principal Preparation Programs

Principal preparation programs understand the need for relevant internship activities that bridge the gap between theory and practice (Anast-May, Buckner, & Geer, 2011; Darling-Hammond, LaPointe, Meyerson, Orr, & Cohen (2007). Principal preparation programs utilizing distance technology are also charged with meeting this expectation and the electronic learning technologies have changed learning from restrictive to flexible, accessible, and innovative (Tseng & Gardner, 2016). The internship is a widely accepted program component of principal preparation that provides the student with actual administrative experience during the certification process; however, despite the mandates from national accreditation organizations and state certification agencies, the literature is replete with criticisms concerning the effectiveness of the internship experience (Cheney & Davis, 2011; Darling-Hammond et al., 2007; Fry, Bottoms, & O’Neill, 2005; Perez et al., 2011). Limited data in the form of student feedback, especially as it pertains to learner perceptions of the internship experience, have been collected (Gordon, Oliver, & Solis, 2016). According to Thiede (2012), it is important for faculty to seek out and study what students are thinking and saying about online education as most higher education institutions’ future enrollments may be predicated upon quality online courses