MGNREGA Implementation In Uttarakhand – A Multidimensional Spatial Analysis

Authors

  • Stutee Gupta Scientist,Rural Development and Watershed Monitoring Division, National Remote Sensing Centre, Hyderabad, Telangana.
  • Shikha Anand Project Scientist, Geo-MGNREGA,Rural Development and Watershed Monitoring Division, National Remote Sensing Centre, Hyderabad, Telangana.
  • P. Lakshmi Thanmai Project Scientist, Geo-MGNREGA,Rural Development and Watershed Monitoring Division, National Remote Sensing Centre, Hyderabad, Telangana.
  • K. M. Reddy Head,Rural Development and Watershed Monitoring Division, National Remote Sensing Centre, Hyderabad, Telangana.
  • T. Ravisankar Group Director, Rural Development and Watershed Monitoring Division, National Remote Sensing Centre, Hyderabad, Telangana.

DOI:

https://doi.org/10.25175/jrd/2023/v42/i1/172888

Keywords:

Geotags, Spatial Analysis, Hotspot Analysis, GIS, MGNREGA, Uttarakhand.

Abstract

Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA) is the world’s most extensive social safety programme widely studied for its contribution to achieving poverty alleviation and strengthening the natural base in the country. However, there is a gap in research linking the programme implementation with the national and sub-national development goals, which are crucial to achieving the global goals of sustainable development. This study thus aims to derive district-level insights into MGNREGA implementation, taking Uttarakhand State as an example using spatial analysis tools. Getis-Ord statistic was used to obtain spatial clustering of the works implemented under the programme until 2017. Overlay analysis was synergistically applied on satellite images-based thematic envelopes, viz. land use land cover (LULC) and the terrain, which exerts a latent control on the overall programme implementation besides shaping the local development and planning efforts. The LULC and topography demonstrated a profound impact on the distribution of works in the State. Results obtained show a marked variation in work preference and their spatial clustering in various districts, thus, on the one hand, indicating the demand-driven nature of the programme and, on the other, its alignment with the local developmental needs of the State. The findings might help design fine -tuned plans for the State towards attaining far-reaching social-economic and environmental dividends.

Downloads

Download data is not yet available.

Published

2023-05-03

How to Cite

Gupta, S., Anand, S., Thanmai, P. L., Reddy, K. M., & Ravisankar, T. (2023). MGNREGA Implementation In Uttarakhand – A Multidimensional Spatial Analysis. Journal of Rural Development, 42(1), 35–50. https://doi.org/10.25175/jrd/2023/v42/i1/172888

References

Ahuja, U.R., Tyagi, D., Chauhan, S. & Chaudhary, K. R. (2011). Impact of MGNREGA on Rural Employment and Migration: A Study in Agriculturally-Backward and Agriculturally-Advanced Districts of Haryana. Agricultural Economics Research Review, 24, 495 - 502.

Anselin, L. & Getis, A., 1992. Spatial Statistical Analysis and Geographic Information Systems. The Annals of Regional Science, 26(1), 19-33. DOI: https://doi.org/10.1007/BF01581478

Babu, S.V., Dheeraja, C., Kanth, G.R. & Rangacharyulu, S.V. (2013). Frequently Asked Questions on MGNREGA Operational guidelines. New Delhi: Ministry of Rural Development, Centre for Wage Employment and Poverty Alleviation (CWEPA)

Banerji, A. & Gentilini, U. (2013), September. Social Safety Nets: Lessons from Global Evidence and Practice. In Bank of Namibia’s Annual Symposium on Social Safety Nets in Namibia, Windhoek, September (Vol. 26).

Barrientos, A. and Hulme, D., 2009. Social Protection for the Poor and Poorest in Developing Countries: Reflections on a Quiet Revolution: Commentary. Oxford Development Studies, 37(4), 439-456. DOI: https://doi.org/10.1080/13600810903305257

Biswas, S., 2015. Impact of MGNREGA on Employment Generation and Asset Creation in Rural India-A Critical Review. International Journal in Management & Social Science, 3(5), 350-357.

Campbell, J.R. (2001). Participatory Rural Appraisal as Qualitative Research: Distinguishing Methodological Issues from Participatory Claims. Human Organization, 60(4), 380-389. DOI: https://doi.org/10.17730/humo.60.4.4bgnlmy60fkvq4r2

Census of India (2011). New Delhi: Office of the Registrar General and Census Commissioner, India. https://censusindia.gov.in/census.website/data/census-tables.

code Ziadat, F., Bunning, S., & De Pauw, E. (2017). Land Resource Planning for Sustainable Land Management. Land and Water Division Working Paper (FAO) Eng No. 14.

Devereux, S., 2001. Livelihood Insecurity and Social Protection: A Re-emerging Issue in Rural Development. Development Policy Review, 19(4), 507-519. DOI: https://doi.org/10.1111/1467-7679.00148

Divya, K., Reddy, K.M., Pujar, G.S. and Rao, P.J., 2019. Assessing the Spatial Patterns of Geotagged MGNREGA Assets on Bhuvan Using GIS-Based Analysis. In Proceedings of International Conference on Remote Sensing for Disaster Management (pp. 227-241).Springer, Cham. DOI: https://doi.org/10.1007/978-3-319-77276-9_21

Dobhal, S., Kumar, R., Chauhan, K. and Rawat, P., 2020. Soil and Water Conservation Measures for Sustainable Agroecosystem Development of Uttarakhand. Tropical Forest Research Institute.

Dungan, J.L., Perry, J.N., Dale, M.R.T., Legendre, P., Citron Pousty, S., Fortin, M.J., Jakomulska, A., Miriti, M. & Rosenberg, M. (2002). A Balanced View of Scale in Spatial Statistical Analysis. Ecography, 25(5), 626-640. DOI: https://doi.org/10.1034/j.1600-0587.2002.250510.x

Esteves, T., Rao, K.V., Sinha, B., Roy, S.S., Rao, B., Jha, S., Singh, A.B., Vishal, P., Nitasha, S., Rao, S., & IK, M. (2013).Agricultural and Livelihood Vulnerability Reduction through the MGNREGA. Economic and Political Weekly, 48(52), 94-103.

Gupta, S., Dharmaraj, T., Reddy, K.M., and Ravisankar, T., 2020. Spatial-Temporal Analysis and Visualisation of Rural Development Works Implemented under the World’s Largest Social Safety Program in India—A Case Study. Journal of Geovisualization and Spatial Analysis, 4(2), 1-14. DOI: https://doi.org/10.1007/s41651-020-00062-7

Gupta, S., Anand, S., Thanmai, P., Reddy, K., & Ravisankar, T. (2021). Spatial Distribution of SDGs Accomplished Under MGNREGA Beyond SDG1. International Journal of Rural Management. https:// doi.org/10.1177/09730052211037108 DOI: https://doi.org/10.1177/09730052211037108

ISFR (2017). India State of Forest Report. Dehradun: Forest Survey of India, Ministry of Environment, Forest and Climate Change (MoEFCC).

Kala, C.P. (2014). Deluge, Disaster and Development in Uttarakhand Himalayan Region of India: Challenges and Lessons for Disaster Management. International Journal of Disaster Risk Reduction, 8, 143-152. DOI: https://doi.org/10.1016/j.ijdrr.2014.03.002

Khaledian, Y. and Miller, B.A. (2020). Selecting Appropriate Machine Learning Methods for Digital Soil Mapping. Applied Mathematical Modelling, 81, 401-418. DOI: https://doi.org/10.1016/j.apm.2019.12.016

Kumar, D.S., Rana, G. & Mairaj, H. (2015). Status and Scenario of Tourism Industry in India–A Case Study of Uttarakhand. In Bansal, S.P., Kulshreshtha, S., Gautam PK (Eds). Tourism: Inclusive Growth & Sustainable Development. (pp.575-585). Bharti Publications

Macek, I.C. (2012). Home-stays as Livelihood Strategies in Rural Economies: The Case of Johar Valley, Uttarakhand, India. (Doctoral Dissertation). USA: University of Washington.

Mahapatra, S.K., Reddy, G.O., Nagdev, R., Yadav, R.P., Singh, S.K. & Sharda, V.N. (2018). Assessment of Soil Erosion in the Fragile Himalayan Ecosystem of Uttarakhand, India, Using USLE and GIS for Sustainable Productivity. Current Science, 115(1), 108-121. DOI: https://doi.org/10.18520/cs/v115/i1/108-121

Mandla, V.R., Nerella, S.P., Choudhary, M. & Peddinti, V.S.S. (2020). Impact Study on De-siltation of Water Tanks in Rural Areas Using Spatial Technology: A Case Study Work under MGNREGA. In Advances in Geotechnical and Transportation Engineering (pp. 85-99).Springer, Singapore. DOI: https://doi.org/10.1007/978-981-15-3662-5_9

McCord, A. & Paul, M.H., 2019. An Introduction to MGNREGA Innovations and their Potential for India-Africa Linkages on Public Employment Programming. A Working Paper in Gesellschaftfür Internationale Zusammenarbeit (GIZ).

MoRD, 2018. Mahatma Gandhi NREGS Permissible Works List (Schedule 1 of MGNREG Act 2005). http:// nwm.gov.in/sites/default/files/MGNREGS-Work_List.pdf

Ord, J.K., & Getis, A. (1995). Local Spatial Autocorrelation Statistics: Distributional Issues and an Application. Geographical Analysis, 27(4), 286-306. DOI: https://doi.org/10.1111/j.1538-4632.1995.tb00912.x

Pamela, Yukni, A., Imam, S.A. & Kartiko, R.D. (2018, July). The selective causative factors on landslide susceptibility assessment: Case study Takengon, Aceh, Indonesia. In AIP Conference Proceedings (Vol. 1987, No. 1, p. 020089). AIP Publishing LLC. DOI: https://doi.org/10.1063/1.5047374

Pellissery, S. & Jalan, S.K. (2011). Towards Transformative Social Protection: A Gendered Analysis of the Employment Guarantee Act of India (MGNREGA). Gender & Development, 19(2), 283-294. DOI: https://doi.org/10.1080/13552074.2011.592639

Pratap, S., Srivastava, P.K., Routray, A., Islam, T. & Mall, R.K. (2020). Appraisal of Hydro-Meteorological Factors during Extreme Precipitation Event: Case Study of Kedarnath Cloudburst, Uttarakhand, India. Natural Hazards, 100(2), 635-654. DOI: https://doi.org/10.1007/s11069-019-03829-4

Rajalakshmi, V. & Selvam, V. (2017). Impact of MGNREGA on Women Empowerment and Their Issues and Challenges: A Review of Literature from 2005 to 2015. The Journal of Internet Banking and Commerce, 22(57), 1-13.

Ravindranath, N. H., & Murthy, I. K. (2021). Mitigation co-benefits of carbon sequestration from MGNREGS in India. PLOS ONE, 16(5), e0251825. https://doi.org/10.1371/journal.pone.0251825 DOI: https://doi.org/10.1371/journal.pone.0251825

Samra, J. (2019). Rainwater Harvesting and Its Impact on Farming Systems. International Grassland Congress Proceedings. https://uknowledge.uky.edu/igc/23/keynote/15

Sanchez-Cuervo, A.M. and Aide, T.M. (2013). Identifying Hotspots of Deforestation and Reforestation in Colombia (2001–2010): Implications for Protected Areas. Ecosphere, 4(11), 1-21. DOI: https://doi.org/10.1890/ES13-00207.1

Sarvade, S., Upadhyay, V.B., Kumar, M., and Imran Khan, M. (2019). Soil and Water Conservation Techniques for Sustainable Agriculture. In Sustainable Agriculture, Forest and Environmental Management (pp. 133-188). Springer, Singapore DOI: https://doi.org/10.1007/978-981-13-6830-1_5

Sedogo, L.G. & Groten, S.M. (2002). Integration of Local Participatory and Regional Planning: A GIS Data Aggregation Procedure. GeoJournal, 56(2), 69-82. DOI: https://doi.org/10.1023/A:1022438331943

Tatem, A. J., Goetz, S. J., & Hay, S. I. (2008). Fifty Years of Earth Observation Satellites: Views from above have Lead to Countless Advances on the Ground in Both Scientific Knowledge and Daily Life. American Scientist, 96(5), Article 5. https://doi.org/10.1511/2008.74.390 DOI: https://doi.org/10.1511/2008.74.390

Tayi, G.K., & Ballou, D.P. (1998). Examining Data Quality. Communications of the ACM, 41(2), 54-57. DOI: https://doi.org/10.1145/269012.269021

USDMA. (2015). State Disaster Management Action Plan, Uttarakhand, Disaster Mitigation & Management Centre, Uttarakhand Secretariat. Dehradun

UVD. (2018). Uttarakhand Vision Document 2030. Uttarakhand: Institute for Human Development, Department of Planning, Government of Uttarakhand.