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Jain, Rahi
- Impact of Local Factors on Decision Making – A Multi Criteria Modelling Framework in Wind Energy Investment
Abstract Views :262 |
PDF Views:74
Authors
Affiliations
1 Centre for Technology Alternatives for Rural Areas, Shailesh J. Mehta School of Management, Indian Institute of Technology-Bombay, Mumbai 400 076, IN
2 Shailesh J. Mehta School of Management, Indian Institute of Technology-Bombay, Mumbai 400 076, IN
3 Advanced Materials and Processes Research Institute, Bhopal 462 024, IN
1 Centre for Technology Alternatives for Rural Areas, Shailesh J. Mehta School of Management, Indian Institute of Technology-Bombay, Mumbai 400 076, IN
2 Shailesh J. Mehta School of Management, Indian Institute of Technology-Bombay, Mumbai 400 076, IN
3 Advanced Materials and Processes Research Institute, Bhopal 462 024, IN
Source
Current Science, Vol 114, No 12 (2018), Pagination: 2467-2472Abstract
Wind power is an important renewable energy generation technology, but the location of wind potential and wind power plant installation are not in complete sync with each other. Many national, state and local variables other than wind potential play a role in site selection. The weights given to different local variables during wind power investment decisions are not known and are difficult to estimate in data paucity settings in India. Accordingly, this study proposes a framework to estimate the weights given to different local parameters in wind power investment decisions. We use the case study of select districts in Maharashtra, India to test the framework. The investment predictions based on priority of local factors estimated by the proposed approach are in agreement with the actual investment in the wind energy sector.Keywords
Agricultural Hierarchy Process, Renewable Energy, Wind Portal, Wind Power Plant.References
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- Panse, R. and Kathuria, V., Role of policies in deployment of wind energy – evidence across states of India. Renew. Sustain. Energy Rev., 2016, 53, 422–432.
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- Lee, A. H. I., Chen, H. H. and Kang, H.-Y., Multi-criteria decision making on strategic selection of wind farms. Renew. Energy, 2009, 34, 120–126.
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- Wolsink, M., Wind power implementation: the nature of public attitudes: equity and fairness instead of ‘backyard motives.’ Renew. Sustain. Energy Rev., 2007, 11, 1188–1207.
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- Elmer, V. and Leigland, A., Infrastructure Planning and Finance: A Smart and Sustainable Guide Routledge, New York, 2013.
- MSU Land Policy Institute and The Great Lakes Commission, Perceptions of the Impact of Wind Energy Generation in Coastal Communities: Imapct Perceptions, Michigan, 2011.
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- Zahedi, F., The analytic hierarchy process – a survey of the method and its applications. Interf. (Providence), 1986, pp. 96–108.
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- Palcic, I. and Lalic, B., Analytical hierarchy process as a tool for selecting and evaluating projects. Int. J. Simul. Model., 2009, 8, 16–26.
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- Brudermann, T., Mitterhuber, C. and Posch, A., Agricultural biogas plants – a systematic analysis of strengths, weaknesses, opportunities and threats. Energy Policy, 2015, 76, 107–111.
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- Reducing Resource Disparity in Healthcare Resource Allocation of Laboratories in Countries with Limited Resources by Empowering Policy-Making and Implementation
Abstract Views :297 |
PDF Views:74
Authors
Affiliations
1 Centre for Technology Alternatives for Rural Areas
2 Department of Electrical Engineering, Indian Institute of Technology Bombay, Mumbai 400 076, IN
1 Centre for Technology Alternatives for Rural Areas
2 Department of Electrical Engineering, Indian Institute of Technology Bombay, Mumbai 400 076, IN
Source
Current Science, Vol 115, No 6 (2018), Pagination: 1049-1055Abstract
In resource constraint settings of developing countries like India, inadequate importance and consideration to resource (re)allocation approach causes resource disparity issues. The Indian public health care system has focused on developing rural primary health centres (PHCs) to reduce rural–urban resource disparity and pressure on urban health care facilities. However, all the resources as recommended in national standards for PHCs’ functioning are not completely available in PHCs. Local-level decision-makers are not provided with a policy framework to (re)allocate resources. This study states that empowering local-level decision makers with the ability to (re)allocate resources to reduce resource disparity is critical. The study proposes a new framework for minimizing resource disparity with resource allocation optimization. The study suggests a strategy to improve implementation of policies like the National Rural Health Mission and the National Health Policy. The 42 PHCs in rural areas of Osmanabad District (India) with 23 laboratory technicians (LTs) as resources are considered as a case study to assess the proposed method. The study optimization model showed that reallocating 6 of 23 LTs to different PHCs would reduce disparity in LT workload (from 57.62% to 30.54%) and LT access (from 116.4% to 49.3%). The disparity reduction highlights the impact of resource reallocation according to the proposed framework.Keywords
Developing Nations, Healthcare, Optimization, Policy, Resource Disparity, Resource Allocation.References
- Rao, M., Rao, K. D., Kumar, A. S., Chatterjee, M. and Sundara-raman, T., Human resources for health in India. Lancet, 2011, 377(9765), 587–598.
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- Basu, R., Jana, A. and Bardhan, R., A health care facility allocation model for expanding cities in developing nations: strategizing urban health policy implementation. Appl. Spat. Anal. Policy, 2016, 9(1), 1–16.
- Rao, K. S., Challenging times for public health towards attaining sustainable development goals. Indian J. Community Med., 2017, 42(2), 65–68.
- World Health Organization, Alma-Ata Declaration, Geneva, 1978.
- MoHFW. Indian Public Health Standards (IPHS) for Primary Health Centres Revised Guidelines 2012, New Delhi, 2012.
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- Devane-Padalkar, A., Deshpande, S. and Yakkundi, D., Laboratory services at primary health centers under the lens: a need for over-haul. Int. J. Trop. Dis. Health, 2016, 13(4), 1–6.
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- Walshe, K. and Rundall, T. G., Evidence-based management: from theory to practice in health care. Milbank Q., 2001, 79(3), 429–457.
- Development of Village System Model for Predicting and Comparing the Success of Different Interventions
Abstract Views :252 |
PDF Views:73
Authors
Affiliations
1 Centre for Technology Alternatives for Rural Areas, Indian Institute of Technology-Bombay, Powai, Mumbai 400 076, IN
2 Advanced Materials and Processes Research Institute, Bhopal 462 026, IN
1 Centre for Technology Alternatives for Rural Areas, Indian Institute of Technology-Bombay, Powai, Mumbai 400 076, IN
2 Advanced Materials and Processes Research Institute, Bhopal 462 026, IN
Source
Current Science, Vol 117, No 7 (2019), Pagination: 1189-1194Abstract
India launched the National Mission on Medicinal Plants (NMMP) to provide livelihood opportunities for rural entrepreneurs. This study determines effec-tiveness of the mission in achieving rural sustainabi-lity. A case model of Khirvire village, Maharashtra using system dynamics approach is considered to identify the possible externalities which can challenge NMMP effectiveness. It is found that interventions most preferred by the policy and finance are of less preference for the village system. The study concludes that NMMP in its current design will not be sufficient for adequate activities dissemination in the Indian villages.Keywords
Approach, Interventions, Medicinal Plants, Rural Development, System Dynamics.References
- Van de Poel, E., O’Donnell, O. and Van Doorslaer, E., Are urban children really healthier? Evidence from 47 developing countries. Soc. Sci. Med., 2007, 65, 1986–2003.
- Sen, A. and Himanshu, Poverty and inequality in India: getting closer to the truth. Econ. Polit. Wkly., 2004, 39, 4247–4263.
- Government of Maharashtra, Maharashtra Human Development Report 2012, Mumbai, 2012, pp. 1–1028.
- Registrar General of India, Census 2011: Population Enumeration Data, Ministry of Home Affairs, Government of India (GoI), 2011.
- Datt, G. and Ravallion, M., Is India’s economic growth leaving the poor behind ? J. Econ. Perspect., 2002, 16, 89–108.
- Fan, S., Chan-Kang, C. and Mukherjee, A., Rural and Urban Dynamics and Poverty: Evidence from China and India IFPRI, Washington DC, USA, 2005.
- Gautam, Y. and Andersen, P., Rural livelihood diversification and household well-being: insights from Humla, Nepal. J. Rural Stud., 2016, 44, 239–249.
- Ellis, F., Household strategies and rural livelihood diversification. J. Dev. Stud., 1998, 35, 1–38.
- National Medicinal Plants Board, Centrally Sponsored Scheme of National Mission on Medicinal Plants: operational Guidelines AYUSH, New Delhi, 2008.
- Jain, R. and Rao, B., Critical analysis of India’s National Mission on Medicinal Plants (NMMP) in providing access to quality botanical drugs to improve public health. J. Ayurveda Integr. Med., 2015, 6, 198–206.
- Planning Commission of India, Report of Steering Committee on AYUSH for 12th Five Year Plan (2012–17), 2011.
- Forrester, J. W., Industrial Dynamics, MIT Press, Cambridge, Massachusetts, USA, 1961.
- Subbaraju, Understanding technology choice for region-specific planning–exploration through AHP and system dynamics, Indian Institue of Technology Bombay, 1995.
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- Development of Analytical Hierarchy process based Dairy Index for Assessment of the Dairy Sectorin Different States of India
Abstract Views :307 |
PDF Views:84
Authors
Affiliations
1 Indian Institute of Technology Bombay, Mumbai 400 085, IN
1 Indian Institute of Technology Bombay, Mumbai 400 085, IN
Source
Current Science, Vol 118, No 7 (2020), Pagination: 1019-1021Abstract
In India, the major indicators used to assess the dairy sector are the age-old criteria of considering only the total production and per capita availability. Such indicators may not be able to adequately assess the development of the dairy sector. First, the indicators inadequately capture the complete scenario of the dairy sector. Secondly, dairy as a sector has multistake-holder dependency. Different stakeholders want to direct the sector in their perspective which pertains to social, economic or environmental domains. Thirdly, India is a resource-constraint nation, which makes it important for it to judiciously allocate its resources to achieve maximum benefits for which such indicators provide incomplete scenario.References
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