No. 05: The Urban Food System of Bangalore, India

Bangalore (officially Bangaluru) is one of India’s fastest-growing cities. It is now the fifth-largest urban agglomeration in India, and the capital and primate city of the state of Karnataka in terms of area, population and economic output. With no natural features restricting its development, Bangalore’s spatial growth patterns are characterized by urban sprawl. Although it accounts for only 0.4% of the area of Karnataka and about 16% of the total population of the state, Bangalore has the highest district income in the state, contributing approximately 34% to Gross State Domestic Product at current prices and is a magnet for investment and employment in Karnataka. The history of Bangalore is marked by two significant political developments: the Vijayanagara Empire in the 1500s and the British Empire in the 1800s. The patterns of urbanization that emerged from both forms of control – the British and the royal families – shaped current-day Bangalore. This report provides an overview of the city focusing on demography, spatial and physical growth, and governance structures. Although the focus is largely on food-related issues, it also provides a larger contextual picture of the city’s evolution. While there is currently little detailed information available about Bangalore’s food economy, or the larger food sector at the city scale, the report also includes information about national and regional policies and programmes that have an impact on local systems

Forecasting Stock Time-Series using Data Approximation and Pattern Sequence Similarity

Time series analysis is the process of building a model using statistical techniques to represent characteristics of time series data. Processing and forecasting huge time series data is a challenging task. This paper presents Approximation and Prediction of Stock Time-series data (APST), which is a two step approach to predict the direction of change of stock price indices. First, performs data approximation by using the technique called Multilevel Segment Mean (MSM). In second phase, prediction is performed for the approximated data using Euclidian distance and Nearest-Neighbour technique. The computational cost of data approximation is O(n ni) and computational cost of prediction task is O(m |NN|). Thus, the accuracy and the time required for prediction in the proposed method is comparatively efficient than the existing Label Based Forecasting (LBF) method [1].Comment: 11 page

Grandparenting in Urban Bangalore, India: Support and Involvement From the Standpoint of Young Adult University Students

A variety of caregivers, including grandparents, help raise children. Among grandparents, most Western samples evidence a matrilateral (i.e., mother’s kin) bias in caregiving, and many studies show more positive impacts and stronger relationships with grandmothers than grandfathers. The aim of the present study is to test competing hypotheses about a potential laterality bias and explore contrasts between grandmothers and grandfathers in a sample of urban young adult university students in Bangalore, India. A sample of 377 (252 women) relatively mobile and high socioeconomic status individuals 17 to 25 years of age completed a survey consisting of sociodemographic and grandparenting questions. Results reveal generally little evidence of either a patrilateral or matrilateral bias, though findings varied for some outcomes. As illustrations, there were no differences in residential proximity or the most recent time when a participant saw matrilateral or patrilateral grandparents, whereas maternal grandmothers were more approving of one’s choice of a life partner than were paternal grandmothers. In inductively coded responses to an open-ended item about the roles of grandparents, maternal grandmothers were more often identified as “guides” and less often deemed “non-significant” than paternal grandmothers, while paternal grandfathers were less often viewed as guardians and more often noted for their influence compared with maternal grandparents. Findings also revealed differences between grandmothers and grandfathers, such as grandmothers playing more prominent roles in community and religious festivals. Findings are interpreted within changing residential, work, education, and family dynamics in urban India as well as a primary importance on parents relative to grandparents

Dealing with \u27western classical music\u27 in Indian music schools. A case study in Kolkata, Bangalore, Goa and Mumbai

This article summarizes the design and results of an efficiency study that accompanied a skill-enhancement project for Indian teachers of Western classical music in selected cities in India, undertaken by the Goethe-Institut Kolkata from 2009 to 2011 in collaboration with the University of Music Würzburg. At the same time it contributes to a segment of comparative music educational research with an interdisciplinary approach to provide further thoughts on a methodological and theoretical foundation in comparative music educational research. The framework of this case study is a challenge for the researcher since it evokes right from the beginning various prejudices ranging from postcolonial criticism to political intentions and workouts of (German) development policies and so forth; however, by understanding comparative research as the careful evaluation of one’s diversity of experience by acknowledging that this music praxis has roots in the past as well as in the present leads to an adjustment and a holistic understanding of this segment of music education in India. (DIPF/Orig.

Globalisation of Knowledge Production and Regional Innovation Policy: Supporting Specialized Hubs in the Bangalore Software Industry

This paper is concerned with the changing role of regional innovation systems and regional policies in supporting the transition of indigenous firms in developing countries from competing on low costs towards becoming knowledge providers in global value chains. Special attention is paid to policies supporting the emergence and development of the regional innovation system in this transition process. Regional innovation systems in developing countries have very recently started to be conceptualised as specialized hubs in global innovation and production networks (Asheim, B., Coenen, L., Vang-Lauridsen, J.,2007. Face to- face, buzz and knowledge bases: socio-spatial implications for learning,innovation and innovation policy. Environment and Planning C: Government and Policy 25(5), 655–670; Chaminade, C., Vang, J., 2006a. Innovation policy for small andmedium size SMEs in Asia: an innovation systems perspective. In:Yeung, H. (Ed.), Handbook of Research on Asian Business. Edward Elgar, Cheltenham; Maggi, C., 2007. The salmon farming and processing cluster in Southern Chile. In: Pietrobello, C., Rabellotti, R. (Eds.), Upgrading and Governance in Clusters and Value Chains in Latin America. Harvard University Press). A specialized hub refers to a node in a global value chain that mainly undertakes one or a few of the activities required for the production and development of a given good or service or serves a particular segment of the global market. In global value chains, firms in developing countries have traditionally been responsible for the lowest added-value activities. However, a few emerging regional innovation systems in developing countries are beginning to challenge this scenario by rapidly upgrading in the value chain. There is, however, still only a poorly developed understanding of how the system of innovation emerges and evolves to support this transition process and what the role of regional innovation policy is in building the regional conditions that support indigenous small and medium size enterprises (SMEs) in this transition process. This paper aims at reducing this omission by analyzing the co-evolution of the strategies of indigenous SMEs and the regional innovation system of Bangalore (India).Regional innovation systems; Evolution; Globalization of innovation; Software industry; Bangalore