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3893 items in total found

Journal Articles | 2019

Achieving sustainable development in India along low carbon pathways: Macroeconomic assessment

Dipti Gupta, Frederic Ghersi, Saritha S Vishwanathan, and Amit Garg

World Development

Achieving fast and inclusive economic growth concurrently with greenhouse gases (GHG) emission control could have wide-ranging implications for the Indian economy, predominantly fuelled by fossil energies. India faces high income inequality with the bottom 50% of its population owning only 2% of total national wealth. Other developmental challenges include 304 million people living in poverty, 269 million without access to electricity, 92 million without access to safe drinking water, and around 2 million homeless. Despite such challenges, India has committed to reduce the GHG emission intensity of its GDP 33–35% below its 2005 level by 2030, including via turning 40% of its power-generation capacity away from fossil sources. To explore the macroeconomic consequences of achieving development along low-carbon pathways, we use a hybrid modelling architecture that combines the strengths of the AIM/Enduse bottom-up model of Indian energy systems and the IMACLIM top-down economy-wide model of India. This hybrid architecture stands upon an original dataset that reconciles national accounting, energy balance and energy price statistics. With this tool, we demonstrate that low-carbon scenarios can accommodate yearly economic growth of 5.8% from 2013 to 2050 i.e. perform close to if not slightly higher than our business-as-usual scenario, despite high investment costs. This result partly stems from improvement of the Indian trade balance via substantial reduction of large fossil fuel imports. Additionally, it is the consequence of significant shifts of sectoral activity and household consumption towards low-carbon products and services of higher value-added. These transitions would require policies to reconcile the conflicting interests of entrenched businesses in retreating sectors like coal and oil, and the emerging low-carbon sectors and technologies such as renewables, smart grids, electric vehicles, modern biomass energy, solar cooking, carbon capture and storage, etc.

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Journal Articles | 2019

Numeracy and financial literacy of forest-dependent communities

Sundar Balakrishna and Vineet Virmani

Vikalpa: The Journal for Decision Makers

The article examines the numeracy and financial literacy of the Indian forest-dependent communities (FDC) involved in the joint forest management (JFM) programme, launched by the Government of India in 1990. An understanding of the financial literacy levels of the Indian FDCs may provide insights to policymakers regarding customized literacy programmes that can reduce exploitation from petty traders and local forest officials. The research draws sample data from FDCs of two geographical regions with differing resource endowments (Rayalaseema and the coastal region) in the Indian state of Andhra Pradesh. The results show that a third of the sampled members of the FDCs were able to answer the questions on probability and simple interest correctly. At least half of the sample had a clear idea on the time value of money and had less difficulty in computing when the mathematical questions were framed in the form of sentences which embedded situations from their daily lives. Participants, however, faced difficulty in recognizing mathematical symbols and performing simple computations in addition, subtraction, multiplication, and division. The average scores of the sample in the standard numeracy and financial literacy tests were 4.98 (out of 12 points) and 1.32 (out of 5 points), respectively.

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Journal Articles | 2019

Supporting and sustaining state-initiated women's empowerment: Learning from a national programme in India

Ankur Sarin and Vijaya Sherry Chand

Journal of International Development

State-led women's empowerment initiatives are usually indifferent to the tensions between the processes of transformation they initiate at the grassroots and the intermediary support structures they create to sustain empowerment. Drawing on the experiences of Mahila Samakhya, a programme initiated by the Indian state in the late 1980s, we argue that the failure of the state to acknowledge the struggles of the intermediary layers to reconcile the social purpose of transformation with the economic logic underpinning organizational survival only leads to reinforcing a new form of ‘neo-liberal compatible’ governance. © 2019 John Wiley & Sons, Ltd.

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Journal Articles | 2019

Downstream electric utility restructuring and upstream generation efficiency: Productivity dynamics of Indian coal and gas-based electricity generators

Anish Sugathan Anish Sugathan, Deepak Malghan, S Chandrashekar, and Deepak K. Sinha

Energy

This paper investigates the producer-level temporal dynamics of total factor productivity and operational performance changes in coal- and gas-based generators during the 2000–20013 period of major structural reforms in the downstream utilities in India. The total factor productivity is estimated using a recently developed improvement in the Stochastic Frontier panel method that controls for time-invariant unobserved heterogeneity, and the productivity change is decomposed into components of changes in technology frontier, efficiency, scale and allocation. A unique dataset of station-level data for coal and gas plants, that represents about two-thirds of all power generation in India during this period, is constructed for the analysis. The study shows that while there is improvement in the coal generator productivity at the mean rate of 0.20% per year that converges towards a point of higher efficiency for most plants, the gas generators show a trend of stagnant efficiency and declining total factor productivity at the mean rate of −0.80% per year. Unbundling and multi-dimensional utility reform indices are significantly associated with improvement in thermal efficiency and capacity utilization for coal generators. In contrast, utility reforms shows no significant positive influence on gas generators, instead a decline in capacity utilization is observed following unbundling.

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Journal Articles | 2019

Reverse innovation: a conceptual framework

Suresh Malodia, Shaphali Gupta, and Anand Kumar Jaiswal

Journal of the Academy of Marketing Science

Reverse innovation (RI) has emerged as a new growth strategy for MNCs to innovate in emerging markets and then to further exploit the profit potential of such innovations by subsequently introducing them not only in other similar markets but also in developed markets, thereby delivering MNCs a sustainable growth globally. In this study, we propose an overarching conceptual framework to describe factors that contribute to the feasibility of RIs. Using grounded theory with a triangulation approach, we define RI as a multidimensional construct, identify the antecedents of RI, discuss the outcomes, and propose a set of moderating variables contributing to the success of RIs. We also present a set of research propositions with their relative effects on the relationships proposed in the conceptual framework. Additionally, we provide future research directions and discuss theoretical contributions along with managerial implications to realize the strategic goals of RI.

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Journal Articles | 2019

Design, modeling, and analysis of vertical robotic storage and retrieval systems

Debjit Roy, Kaveh Azadeh, and Rene De Koster

Transportation Science

Autonomous vehicle-based storage and retrieval systems are commonly used in many fulfillment centers (e.g., e-commerce warehouses), because they allow a high- and flexible-throughput capacity. In these systems, roaming robots transport loads between a storage location and a workstation. Two main variants exist: horizontal, where the robots only move horizontally and use lifts for vertical transport, and a new variant vertical, where the robots can also travel vertically in the rack. This paper builds a framework to analyze the performance of the vertical system and compare its throughput capacity with the horizontal system. We build closed queueing network models for this that, in turn, are used to optimize the design. The results show that the optimal height-to-width ratio of a vertical system is around one. Because a large number of system robots may lead to blocking and delays, we compare the effects of different robot blocking protocols on the system throughput: robot Recirculation and Wait-on-Spot. The Wait-on-Spot policy produces a higher system throughput when the number of robots in the system is small. However, for a large number of robots in the system, the Recirculation policy dominates the Wait-on-Spot policy. Finally, we compare the operational costs of the vertical and horizontal transport systems. For systems with one load/unload (L/U) point, the vertical system always produces a similar or higher system throughput with a lower operating cost compared with the horizontal system with a discrete lift. It also outperforms the horizontal system with a continuous lift in systems with two L/U points.

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Journal Articles | 2019

Quota-based affirmative action in higher education: Impact on other backward classes in India

Rakesh Basant and Gitanjali Sen

The Journal of Development Studies

While quota-based and other affirmative actions remain on the policy radar of nations faced with social inequalities, there is limited evidence informing policy choices at the national level. This paper estimates the mid-term impact of quota-based affirmative action in higher education (HE) in India implemented from 2008, which mandates that 27 per cent of seats are to be reserved for the Other Backward Classes (OBC) in public funded institutions of HE. Exploiting the differences in participation across social groups, age cohort,s and geographies with varied histories of affirmative action, our triple difference method estimates the impact of the Act by the year 2011–2012. Our results indicate that southern and northcentral states that already had quotas in place for a fairly long period of time, do not contribute much in further expansion of enrolment of OBCs; instead, the eastern region, where such a policy did not exist for long has about 0.12 points improvement in enrolment. Our estimates are robust to different specifications and the impact seems to be non-existent amongst the richest. It suggests that future policy initiatives need to be more nuanced considering regional differences in policy histories, supply of institutions, and extant rates of HE participation of the disadvantaged sections.

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Journal Articles | 2019

Exploring the role of urban green spaces in 'smartening' cities in India

Rama Mohana R Turaga, Sandip Chakrabarti, Urmila Jha-Thakur, and Dipita Hossain

Impact Assessment and Project Appraisal

This paper explores the conceptualization of Urban Green Space (UGS) within India’s urban planning process. In doing so, the context of the Smart Cities Mission (SCM), which is a flagship programme for urban transformation in the country, is chosen. We identified four key elements of UGS planning in the literature – quantity, accessibility, multifunctionality, and connectivity. Using this as a framework for analysis, we reviewed the national SCM guidelines and plans of four cities – Gwalior, Bhagalpur, Chandigarh, and Udaipur – in depth. We find that multifunctionality does not feature in the planning of UGS, and the notable absence of a connected, strategic vision suggests the need for strategic-level planning and assessment that goes beyond the project level in India.

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Journal Articles | 2019

Casting the net: India's public distribution system after the Food Security Act

Jean Dreze, Prankur Gupta, Reetika Khera, and Isabel Pimenta

Economic & Political Weekly

A broad-brush assessment of the public distribution system is presented in six of India’s poorest states—Bihar, Chhattisgarh, Jharkhand, Madhya Pradesh, Odisha, and West Bengal—soon after the National Food Security Act, 2013 came into force. Important gains have been made, including broader coverage, lower targeting errors, accelerated PDS reforms, and a greater political commitment to food security. In four of the six reference states, the PDS seems to be doing reasonably well, but Bihar and Jharkhand still have a long way to go. Even in the leading states, much remains to be done to achieve the purpose of the NFSA: ending food insecurity.

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Journal Articles | 2019

An overlapping community detection algorithm based on rough clustering of links

Samrat Gupta and Pradeep Kumar

Data and Knowledge Engineering

The growth of networks is prevalent in almost every field due to the digital transformation of consumers, business and society at large. The unfolding of community structure in such real-world complex networks is crucial since it aids in gaining strategic insights leading to informed decisions. Moreover, the co-occurrence of disjoint, overlapping and nested community patterns in such networks demands methodologically rigorous community detection algorithms so as to foster cumulative tradition in data and knowledge engineering. In this paper, we introduce an algorithm for overlapping community detection based on granular information of links and concepts of rough set theory. First, neighborhood links around each pair of nodes are utilized to form initial link subsets. Subsequently, constrained linkage upper approximation of the link subsets is computed iteratively until convergence. The upper approximation subsets obtained during each iteration are constrained and merged using the notion of mutual link reciprocity. The experimental results on ten real-world networks and comparative evaluation with state-of-the-art community detection algorithms demonstrate the effectiveness of the proposed algorithm.

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