Faculty & Research

Research Productive

Show result

Search Query :
Area :
Search Query :
2773 items in total found

Working Papers | 2017

Adoption of Natural Resource Management Technologies under Information Constraints: The Case of System of Rice Intensification (SRI) in India

Poornima Varma

This study examines the role of information constraints in the adoption of System of Rice Intensification (SRI) in India by explicitly incorporating information in the adoption model. The results showed that effective information along with other factors such as membership in farmer organisation, availability of labourers, irrigation facility etc were important in determining the SRI adoption. The results also revealed the importance of scaling up of activities under the Government of India's National Food Security Mission programme for promoting greater dissemination and adoption of SRI.

Read More

Working Papers | 2017

Adoption of System of Rice Intensification and its Impact on Rice Yields and Household Income: An Analysis for India

Poornima Varma

Natural resource management (NRM) technologies, such as the system of rice intensification (SRI) are recognized as a promising systemic approach to enhance rice production at affordable costs without harming the environment. Yet there is no consensus in the literature with respect to the factors influencing the adoption as well as the welfare outcomes of adoption. This paper identifies the factors that affect farmers' decisions to adopt SRI in major rice producing States of India and its impact on rice yield and household income. The multinomial endogenous treatment effects model adopted in the present study analyses the factors influencing the adoption and the impact of adoption in a joint framework. Results suggest that household assets, irrigation, access to information etc. increased the likelihood of household adopting SRI whereas the size of landholding, the number of years household stayed in rice cultivation, fear of poor yield, etc. decreased the likelihood of adopting SRI. The welfare impacts of SRI adoption revealed that all combinations of SRI individually and as a group (plant management, water management and soil management) had an impact on yield. However, the impact of SRI adoption on household income was quite mixed.

Read More

Working Papers | 2017

Institutional Quality and International Differences in Firm Productivity

Issar Akash, Jamus Jerome Lim, and Sanket Mohapatra

In this paper, we examine how firm-level productivity growth is dependent on a broad range of institutional quality measures at the country level. Using a sample of 3,446 firms in 58 advanced and emerging economics, we show that such institutions exert a statistically and economically significant effect on changes in firm TFP. We utilize data envelopment analysis to construct firm-level measures of Malmquist productivity, which we then condition on a range of country-level institutions, using both a full set of fixed effects and system generalized method of moments to address potential endogeneity concerns. The baseline effect is robust to alternative measures of institutions, variations in model specification, alternative temporal aggregations, and the inclusion of external instruments. Additional decompositions further reveal that the institutional effect operates via improved productive efficiency (rather than technological progress), and that the key institutions are those associated with rule of law and regulatory quality

Read More

Working Papers | 2017

Gold Monetization in India as a Transformative Policy:
A Mixed Method Analysis

Priya Narayanan, Balagopal Gopalakrishnan, and Arvind Sahay

India is the second largest consumer of gold in the world and gold is a major contributor to the current account deficit. Much of the gold goes out of circulation and is not available to support economic activity. To encourage consumers to bring the gold back into circulation, the government of India instituted the Gold Monetization Policy in 2015. This research views the Gold Monetization Policy in India through the lens of consumer associations with gold, as well as the banker and refiner perspectives on implementation challenges. The success of this policy is important for the country to better manage its current account balance, in a milieu where gold consumption holds sociocultural importance. The research uses an empirical approach to analyse how various stakeholders have approached the policy, and provides suggestions to increase uptake of the policy. It employs a mixed method approach to understand the motivations and barriers faced by various stakeholders in the gold ecosystem.
First, a nationwide survey-based study of 1171 households, across 10 states that constitute approximately three-quarters of annual national gold consumption, was conducted to understand the consumer associations with and attributions related to gold. This shows that family functions and festivals to be triggers for gold purchase, indicating ingrained the habit and planned accumulation. There is also high liquidity and safety association of gold (which is also not considered as having any substitute) along with a clear reluctance to sell gold received as a gift. Rural consumers are more reluctant to part with gold as compared to urban but are also ready to pledge gold as collateral suggesting requirement related liquidity use of gold.
Second, an interview based study was conducted with senior management of 6 banks, 5 refiners and one industry consultant to understand the challenges and implications of the policy for members of the gold ecosystem. Discussions with these stakeholders clarified that banks would promote products based on this policy if they had more control on the process and if there was clear separation of risks

or effective mitigation of risks relating to the operationalization of the policy. Finally, an econometric
analysis of gold consumption and its potential determinants was conducted using household data from all 640 districts of the National Sample Survey for 2011-12. The analysis shows that propensity to consume gold is positively correlated with proportion of females in the household and with number of daughters in the household. Also, ceteris paribus, rural households have a higher propensity to consume gold, and Hindu households have a higher propensity to consume gold.
Clearly, increasing the effectiveness of the Gold Monetization Policy depends on a deeper understanding of consumers' interactions with and sentiments towards gold. The effectiveness of the policy also depends on recognizing the challenges faced and incentives required by banks, refiners and other stakeholders in implementing this policy. This research is an attempt at developing such an understanding.

Read More

Working Papers | 2017

Global Risk and Demand for Gold by Central Banks

Balagopal Gopalakrishnan and Sanket Mohapatra

This paper examines the influence of global risk on the holding of gold by central banks based on annual data for 100 countries during 1990-2015. We use a dynamic panel generalized method of moments (GMM) model to estimate this effect, controlling for a variety of domestic factors. Consistent with portfolio diversification and perception of gold as a safe asset, we find that the gold holdings of central banks increase in response to higher global risk. This effect is larger for high-income countries than for developing countries. Moreover, greater capital account openness is associated with a stronger response of central banks' gold holding to global risk, while a higher ratio of overall reserves to imports is associated with a weaker response. We also find evidence that the sensitivity depends on whether the currency regime followed is fixed or floating, with higher responsiveness in the case of fixed rate regimes. The baseline results are robust to alternate estimation methods, exclusion of crisis years, active and passive management of gold reserves and additional controls. These findings suggest that central banks adjust their gold holdings in response to changes in global risk conditions, with the magnitude of response depending on reserve management capacity and country-specific vulnerabilities.

Read More

Working Papers | 2016

Optimization of Customized Pricing with Multiple Overlapping Competing Bids

Goutam Dutta and Sumeetha R. Natesan

In this paper, we consider the case of project procurement where there is a single buyer and multiple sellers who are bidding. We consider one seller having one or more competitors. We formulate the pricing problem from the point of view of one seller having one or multiple competitors (say n). We also assume that based on past experience, we have some idea about the distribution of bid prices of the competitors. We consider uniform distribution to describe the bid price of the competitors. The prices of the competitors are pairwise mutually independent and the price range are either identical or different and overlapping. We consider maximizing the expected contribution. Assuming the contribution as a linear function of price we compute the conditions for maximization of the expected contribution to profit in case of n bidders. Further, we also compare the optimization results with simulation results.

Read More

Working Papers | 2016

Electricity Consumption Scheduling with Energy Storage, Home-based Renewable Energy Production and A Customized Dynamic Pricing Scheme

Krishnendranath Mitra and Goutam Dutta

In this paper we propose a scheduling model for electrical appliances in a dynamic pricing environment. Initially we have given a vector of price points for the next twenty four hours. We have developed an optimization model that minimizes cost to customer subject to operating time spans provided by the customer as per their requirements. The model is further modified to derive prices based on the consumption of electricity at the concerned time slot. We have also studied the effects of including energy storage and renewable energy generation at the consumer level. In this case we propose a linear price function that helps in automatically generating a price value for a time slot.

Read More

Working Papers | 2016

Hub Interdiction & Hub Protection problems: Model formulations & Exact Solution methods. (Revised)

Prasanna Ramamoorthy, Sachin Jayaswal, Ankur Sinha, and Navneet Vidyarthi

In this paper, we present computationally efficient formulations for the hub interdiction problem. The problem is to identify a set of r critical hubs from an existing set of p hubs that when interdicted, results in the greatest disruption cost for the hub-and-spoke network owner. To begin with, the problem is modeled as a bilevel mixed integer linear program. We explore two ways to reduce this bilevel program to single level by replacing the lower level problem with constraints obtained i) using KKT conditions and ii) by exploiting the structure of the problem. Reduction using KKT conditions is straightforward but computationally inefficient in this context. Exploiting the structure of the problem, we propose two alternate forms of closest assignment constraints and study their computational effectiveness while solving the problem. We also show the dominance relationship between our proposed closest assignment constraints and the only other version
studied in the literature. Our computational results suggest that with one form of our proposed
closest assignment constraint the resulting model is solved on an average seven times faster than
the proposed one in literature. We further propose refinements to these alternate forms of closest
assignment constraints which are computationally faster than their original constraints. We also
solve the single level hub interdiction problem using a Benders decomposition method to fully
exploit the potential of our proposed closest assignment constraint. The computational efficiency gained using the closest assignment constraints, makes the trilevel protection problem tractable. We reduce the trilevel hub protection problem to a bilevel problem, and solve it using an Implicit enumeration + Benders decomposition procedure.

Read More

Working Papers | 2016

Speeding up neighborhood search for the tool indexing problem

Diptesh Ghosh

The arrangement of tools in tool holding pockets of a tool magazine in a CNC machining center plays an important role in reducing processing times of complex job processes in automated machining environments. This problem is called the ATC indexing problem (ATCIP). Computing the cost of a solution for an ATCIP instance of size $n$ requires $\\mathcal{O}(n^2)$ time, so that neighborhood search iteration for the ATCIP on an $\\mathcal{O}(n^2)$ neighborhood requires $\\mathcal{O}(n^4)$ time. We describe techniques to reduce this effort for two common neighborhood structures from $\\mathcal{O}(n^4)$ time to $\\mathcal{O}(n^2)$ time.

Read More

Working Papers | 2016

Orphan Food? Nay, Future of Food !
Understanding the Pulse of the Indian Market

Satish Y. Deodhar

Pulses have been an important traditional food crop of India. India is the largest producer and consumer of pulses. However, pulse acreage and yield has not kept pace with the growing demand in India. As a result, India is also the single largest importer of pulses today. While Green Revolution in India focused on cereal crops, pulses remained an orphaned and neglected crop. However, from the triple perspective of economy, environmental sustainability, and provision of balanced nutrition; pulses have now been recognized as the future of food. India can substantially increase her production and yield in pulses with a strategic emphasis on research in public and private sector, expanding irrigation infrastructure, provision of MSP to pulses, assured procurement by government for PDS/MDMS, facilitation of mini dal mills and storage at village level, and allowing futures markets to function. Price stability for consumers can also be attained by reduction in middlemen margins through modern warehousing, FDI in wholesale and retail trade, introducing competition to APMC markets, and substantial reduction in import tariffs on substitute products such as chicken.

Read More
IIMA