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849 items in total found

Journal Articles | 2018

Reforming agricultural markets in India: A tale of two model Acts

Sukhpal Singh

Economic & Political Weekly

The union Ministry of Agriculture and Farmers’ Welfare had prescribed a model Agricultural Produce Marketing Committee Act in 2003. The state-level adoption of the act has been tardy and varied in terms of both the magnitude and content of agricultural market reforms. Yet, the ministry under the current central government has come up with another model act, the Agricultural Produce and Livestock Marketing (Promotion and Facilitation) Act, 2017, supposedly an improvement over the 2003 act. Among other things, the provision that has grabbed much attention is the removal of contract farming from the APMC domain to a separate model act of Agricultural Produce and Livestock Contract Farming and Services (Promotion and Facilitation). Analysing these draft acts, the paper finds that both the model acts suffer from serious conceptual lacunae that have implications for their application and governance, and, consequently, for inclusive and sustainable agricultural development.

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Journal Articles | 2018

Mining top-k high utility itemsets with effective threshold raising strategies

Srikumar Krishnamoorthy

Expert Systems With Applications

Top-K High Utility Itemset (HUI) mining problem offers greater flexibility to a decision maker in specifying her/his notion of item utility and the desired number of patterns. It obviates the need for a decision maker to determine an appropriate minimum utility threshold value using a trial-and-error process. The top-k HUI mining problem, however, is more challenging and requires use of effective threshold raising strategies. Several threshold raising strategies have been proposed in the literature to improve the overall efficiency of mining top-k HUIs. This paper advances the state-of-the-art and presents a new Top-K HUI method (THUI). A novel Leaf Itemset Utility (LIU) structure and a threshold raising strategy is proposed to significantly improve the efficiency of mining top-k HUIs. A new utility lower bound estimation method is also introduced to quickly raise the minimum utility threshold value. The proposed THUI method is experimentally evaluated on several benchmark datasets and compared against two state-of-the-art methods. Our experimental results reveal that the proposed THUI method offers one to three orders of magnitude runtime performance improvement over other related methods in the literature, especially on large, dense and long average transaction length datasets. In addition, the memory requirements of the proposed method are found to be lower.

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Journal Articles | 2018

Stitching infrastructures to facilitate telemedicine for low-resource environments

Rajesh Chandwani and Neha Kumar

Proceedings of the CHI Conference on Human Factors in Computing Systems

Telemedicine can potentially transform healthcare delivery in low-resource environments by enabling extension of medical knowledge to remote locations, thus enhancing the efficiency and effectiveness of the larger healthcare infrastructure. However, empirical studies have shown mixed results at best. We present a qualitative investigation of a long-standing telemedicine program operating from Lucknow (Uttar Pradesh, India). Invoking the lenses of human infrastructure and seamful spaces, we highlight the factors that determine the success of this telemedicine program. We identify and describe three important aspects: (1) conceptualizing telemedicine as the connectedness of two nodes rather than doctors and patients alone, (2) identifying the critical 'carrying agent' (local doctors at peripheral nodes) and engaging them in program design and implementation, and (3) ensuring co-creation by engaging patients in the process. Finally, we discuss how our lenses allowed us to recognize the seams made visible through the juxtaposition of the infrastructures at the central and peripheral nodes, and to emphasize the human elements that addressed these seams for ensuring the facilitation of a successful telemedicine program.

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Journal Articles | 2018

India in 2 C and well below 2 C Worlds: Opportunities and challenges

Saritha S. Vishwanathan, Amit Garg, Vineet Tiwari, and P.R. Shukla

Carbon Management

India's contributions to meeting global mean temperature increases of 2 °C or well below 2 °C would require transformational changes in its energy systems. A bottom-up model analyzes alternate futures (reference, intended nationally determined contributions and low-carbon scenarios) assuming equal per-capita cumulative emissions rights from 2011 through 2050. The cumulative CO2 budget for India for low-carbon scenarios during this period is estimated to be around 115 Bt-CO2, as against 165 Bt-CO2 for the reference scenario. To achieve such emission reductions, while maintaining high economic growth and meeting sustainable development goals, the paper projects that a range of endemic transformations are required such as shifting toward cleaner fuels, resource efficient technologies, widespread use of Information and communication technology (ICTs) to balance demand and supply (e.g. smart grids), substituting demand in transport (e.g. work from home), aggressive promotion of renewables, lifestyle changes, and CO2 capture, storage and use. Modeling decarbonization to meet the needs of the increasing population and urbanization faces myriad challenges due to the distributed nature of technologies used to provide various services, involving risks and uncertainties. The paper finally outlines specific opportunities and challenges faced to meet the increased mitigation ambition to limit the warming to 2 °C and below.

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Journal Articles | 2018

'I show off, so I am well off': Subjective economic well-being and conspicuous consumption in an emerging economy

Saravana Jaikumar, Ramendra Singh, and Ankur Sarin

Journal of Business Research

Conspicuous consumption may be explained by the need to signal higher social status in a society. However, whether this consumption actually translates to improved perception of well-being remains unexamined. In the emerging economy context, we argue that conspicuous consumption may play the role of elevating one's own perception of economic well-being. Further we hypothesize the effect to be higher for the households in the ‘bottom of the pyramid’ (BOP). Using data from a panel of 34,621 households from India Human Development Surveys (2004 and 2011), we examine the relationship between conspicuous consumption and subjective economic well-being (SEWB) using several empirical strategies. Results support our hypotheses that higher conspicuous consumption may result in improved SEWB and that the effect is higher for households in the BOP. Our findings contribute to the domain of conspicuous consumption and BOP in emerging markets. Further, our results have significant marketing and policy implications.

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Journal Articles | 2018

The effect of parenthood on travel behavior: Evidence from the California Household Travel Survey

Sandip Chakrabarti and Kenneth Joh

Transportation Research Part A: Policy and Practice

Literature suggests that young children have a significant influence on activity patterns and time-use of adult men and women in dual-earner households. The resultant impact on travel behavior, however, remains largely unexplored. In this study, we use the 2012–13 California Household Travel Survey to compare daily (weekday) travel behavior of adult men and women belonging to dual-earner heterosexual couple households without children, with their adult counterparts in dual-earner heterosexual nuclear households with one or more young (aged 15 years or less) children living in urban California. We find that the presence of young children is, on average, associated with relatively higher auto use, and lower levels of physically active travel (i.e., walking and bicycling) and public transit use. Specifically, parents of school-age (6–15 years) children, without other small (5 years or less) children, are found to engage in significantly more auto use than childless couples. The likelihood of engaging in 20 min or more of active travel per day falls as couples transition to parenthood, and drops further as small children turn school-age. The likelihood of making at least one transit trip per day follows a similar pattern. We also find that the negative impact of young children on average, and school-age children in particular, on adults’ active travel is significantly greater for men than women. Additionally, we identify factors that can help reduce gender inequality in auto use and active travel within households with one or more young children. This study enhances our understanding of travel behavior variations across household types in cities, and over the life courses of individuals. Planning and policy implications are discussed.

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Journal Articles | 2018

Geographic mobility of recent immigrants and urban transit demand in the U.S.: New evidence and planning implications

Sandip Chakrabarti and Gary Painter

Transportation Research Part A: Policy and Practice

Residential mobility rates in the U.S. have been in steady decline. Most notably, between 2005 and 2013, one-year intercity migration rate for immigrants has decreased by 0.7 percentage-points, compared to a 0.2 percentage-point decline for the U.S.-born population. Literature on urban implications of geographic mobility suggests that consideration of migration trends, or population flows, can improve urban planning, including transportation. Our research focuses on recent immigrants, a group that significantly contributes to public transit ridership in the U.S. In this study, we analyze the influence of the annual average in-migration rate of recent immigrants to various urban areas from within the country on transit ridership changes across the urban areas between 2008 and 2013. We also compare this effect with the effect of annual average in-migration rate of new immigrants to various urban areas from foreign countries. While the average effect of inflow of new foreign migrants on transit demand is suggested in the literature, distinguishing the transit demand of immigrants that are not movers and those that are movers from various locations remains unexplored.

We derive migration flows from the American Community Survey microdata, and transit ridership from the U.S. National Transit Database. We perform geospatial analysis to overcome several constraints that make exploration of the migration-transportation connection difficult, particularly the lack of uniformity in geographic boundaries used for data presentation across and within government agencies, and over time.

Our results indicate that consideration of domestic in-migration rates of recent immigrants can improve transit demand forecasting. As past literature has found, recent immigrants are highly likely to use transit. Recent immigrant migrants that have arrived directly from another country are even more likely to use transit. Interestingly, recent immigrants that move to a metropolitan area from another location in the U.S. are relatively less likely to use transit. Among domestic migrants, however, those that move to cities undergoing large increase in transit service relative to population are more likely to use transit. High population and transit stop density of both previous and current cities seem to positively affect transit mode choice for commute trips of recent immigrant movers. Declining inter-urban mobility among recent immigrants can indeed alter future transit demand trends. Transit agencies should not treat recent immigrants as a monolithic group. Consideration of the migration patterns of various types of recent immigrants, and factors that determine those patterns, can improve demand forecasting and planning.

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Journal Articles | 2018

Does telecommuting promote sustainable travel and physical activity?

Sandip Chakrabarti

Journal of Transport and Health

Researchers have explored the efficacy of telecommuting as a travel demand management strategy in the U.S. Conditions under which telecommuting can reduce VMT (vehicle miles traveled) and ease peak-period traffic congestion have been extensively investigated; empirical findings are well documented in the literature. Analysis of the impact of telecommuting on non-motorized travel, public transit use, and physical activity, however, has received relatively less attention in the past.

In this paper, I use the 2009 U.S. National Household Travel Survey to explore how telecommuting is associated with usual travel behavior, i.e. walking/bicycling, transit use and driving, as well as with average time spent in daily physical activity. I also compare telecommuters’ travel behavior and physical activity on a typical workday in telecommuting vs. non-telecommuting scenarios.

I find that frequent telecommuting (4+ times/month) is associated with 15% more walk trips per week, 56% higher odds of 1+ transit trip per month, 44% higher odds of 30+ minutes of physical activity per day, and 27% higher odds of driving 20,000+ miles per year compared to no-telecommuting scenario. On a typical workday, telecommuting is associated with 41% higher odds of walking/bicycling > 1 mile, 71% higher odds of 30+ minutes of physical activity, 71% lower odds of riding transit, and 3.58 times greater odds of driving < 10 miles. Findings suggest that telecommuting can increase non-motorized travel and physical activity in the presence of latent demand for active living. Increase in transit ridership and reduction in VMT are not automatic. Planning and policy implications are discussed.

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Journal Articles | 2018

Can highway development promote employement growth in India?

Sandip Chakrabarti

Transport Policy

India has embarked on an ambitious highway development program to significantly improve interstate road transport connectivity. Between 2000 and 2015, total length of India's national highway network has nearly doubled and 4 + lane share of the national highways has increased from 2 to 20%, along with associated improvements in safety and surface quality. National highway development is considered as a tool to promote employment growth by stimulating economic activities and attracting foreign investments. As India's central government continues to increase budget allocations for national highway projects in anticipation of generating more jobs, this study empirically investigates whether past investments can be linked to employment growth. I analyze changes in non-agricultural private sector employment over a 10-year period (2003–2012) across 25 states in response to changes in the density (lane-km per unit area) of national highways, controlling for other factors affecting employment. Using a series of static (pooled ordinary least squares, random-effects and fixed-effects) and dynamic (random- and fixed-effects with first-order autoregressive or AR(1) disturbances, and system GMM or generalized method of moments) panel regressions, I find that 10% increase in national highway density in India is associated with 1–6% (depending on model specification and estimation approach) increase in private sector employment, all else equal. This paper provides first empirical evidence suggesting that India's national highway development efforts have produced positive employment benefits in the past. In addition to contributing to transportation planning scholarship, the findings are expected to inform policy-makers in India as they develop future highway investment plans aimed, in part, at economic development. This paper will also be useful to decision-makers in other developing countries with comparable policy environments.

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Journal Articles | 2018

Gross profit manipulation through classification

Sakina H. Poonawal and Neerav Nagar

Journal of Business Research

The existing research on classification shifting has examined the manipulation of core earnings through shifting of core expenses to special items keeping the GAAP earnings constant. We examine the manipulation of gross profits through shifting of costs of goods sold to operating expenses keeping core earnings constant. We find that managers, on average, misclassify costs of goods sold as operating expenses in order to just meet prior period's gross margin. We also find that managers shift costs of goods sold to both selling, general and administrative expenses and research and development expenses. However, they are more likely to shift costs of goods sold to the latter.

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IIMA