Refine your search
Collections
Co-Authors
Journals
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Singh, Priyanka
- Chemical Weathering of Biotite in the Ganga Alluvial Plain
Abstract Views :250 |
PDF Views:101
Authors
Dharmendra Kumar Jigyasu
1,
Rohit Kuvar
1,
Shahina
1,
Priyanka Singh
2,
Sandeep Singh
2,
Indra Bir Singh
1,
Munendra Singh
1
Affiliations
1 Centre of Advanced Study in Geology, University of Lucknow, Lucknow 226 007, IN
2 Department of Earth Sciences, Indian Institute of Technology Roorkee, Roorkee 247 667, IN
1 Centre of Advanced Study in Geology, University of Lucknow, Lucknow 226 007, IN
2 Department of Earth Sciences, Indian Institute of Technology Roorkee, Roorkee 247 667, IN
Source
Current Science, Vol 106, No 11 (2014), Pagination: 1484-1486Abstract
No Abstract.Full Text
- Time-Course Expression of Soluble Acid Invertase (SAI) Gene Mirroring Post-Harvest Cane Quality Deterioration: Effective Treatments Cause Reduction of SAI Gene Expression
Abstract Views :297 |
PDF Views:96
Authors
Amaresh Chandra
1,
Kriti Roopendra
1,
Priyanka Singh
1,
Radha Jain
1,
C. P. Prajapati
1,
Sushil Solomon
1
Affiliations
1 Plant Physiology and Biochemistry Division, Indian Institute of Sugarcane Research, Lucknow 226 002, IN
1 Plant Physiology and Biochemistry Division, Indian Institute of Sugarcane Research, Lucknow 226 002, IN
Source
Current Science, Vol 107, No 2 (2014), Pagination: 184-186Abstract
No Abstract.Full Text
- How Unequal is Rural Punjab? Empirical Evidence from Spatial Income Distribution
Abstract Views :254 |
PDF Views:85
Authors
Affiliations
1 Department of Economics and Sociology, Punjab Agricultural University, Ludhiana 141 004, IN
2 Department of Economics and Sociology, Punjab Agricultural University, Ludhiana 141 004Department of Economics and Sociology, Punjab Agricultural University, Ludhiana 141 004, IN
1 Department of Economics and Sociology, Punjab Agricultural University, Ludhiana 141 004, IN
2 Department of Economics and Sociology, Punjab Agricultural University, Ludhiana 141 004Department of Economics and Sociology, Punjab Agricultural University, Ludhiana 141 004, IN
Source
Current Science, Vol 117, No 11 (2019), Pagination: 1855-1862Abstract
The present study assesses the inequality arising from variation of economic opportunity across agroclimatic zones of Punjab, India. The analysis indicates that the poor in the state tend to diversify their income portfolio towards wages and salaries, and livestock sources. Crop farming is the major income source of the households; yet it contributes maximum (75.8%) in total inequality and is inequality triggering in its effect. While livestock and, wages and salaries are the potential sources to bridge the inequality gap in the entire state, non-farm business sources would be effective in the central and western zones of Punjab. The result of Theil index emphasized withingroup inequality as the principal contributor in total inequality across agro-climatic zones and districts. Therefore, policy intervention at individual district and zonal levels would be more imperative for correcting spatial imbalances in income distribution among farm households of the state.Keywords
Agro-Climatic Zones, Empirical Evidence, Income Inequality, Rural Households, Theil Index.Full Text
References
- Bhalla, G. S., Chadha, G. K., Kashyap, S. P. and Sharma, R. K., Agricultural growth and structural changes in the Punjab economy: an input–output analysis. International Food Policy Research Institute, Washington, USA, Research Report 82, 1990.
- Gulati, A., Roy, R. and Hussain, S., Getting Punjab agriculture back on high growth path: sources, drivers and policy lessons. Indian Council for Research on International Economic Relations, New Delhi, 2017.
- Economic Survey, Department of Economic Affairs, Ministry of Finance, Government of India (GoI), 2017–18.
- NSSO, Key indicators of situation of agricultural households in India. In 70th Round (January–December 2013), GoI, Ministry of Statistics and Programme Implementation, National Sample Survey Office, New Delhi, 2014.
- Leibbrandt, M., Woolard, C. and Woolard, I., The contribution of income components to income inequality in the rural farmers’ homelands of South Africa: a decomposable Gini analysis. J. Afr. Stud., 2000, 9(1), 79–99.
- Kung, J. K. S. and Lee, Y., So what if there is income inequality? The distributive consequences of non-farm employment in rural China. Econ. Develop. Cult. Change, 2001, 50(1), 19–46.
- De Janvry, A. and Sadoulet, E., Income strategies among rural households in Mexico: the role of off-farm activities. World Dev., 2001, 29(3), 467–480.
- Birthal, P. S., Negi, D. S., Jha, A. K. and Singh, D., Income sources of farm households in India: determinants, distributional consequences and policy implications. Agric. Econ. Res. Rev., 2014, 27(1), 37–48.
- Ranganathan, T., Farmers’ income in India: evidence from secondary data. Agricultural Economics Research Unit, Institute of Economic Growth, New Delhi, 2015; http://www.iegindia.org/ardl/Farmer_Incomes_Thiagu_Ranganathan.pdf (accessed on 22 October 2018).
- Richard, A. H. and He, J. J., Sources of income, inequality, and poverty in rural Pakistan. IFPRI Research Report #102, Washington DC, USA, 1995.
- Birthal, P. S., Joshi, P. K. and Kumar, A., Assessment of research priorities for livestock sector in India. Policy Paper 15, National Centre for Agricultural Economics and Policy Research, New Delhi, 2002.
- Lanjouw, P. and Shariff, A., Rural non-farm employment in India: access, income and poverty impact. Working Paper 81. National Council of Applied Economic Research, New Delhi, 2002.
- Lanjouw, P. and Stern, N., Agricultural change and inequality in Palanpur. In The Economics of Rural Organization: Theory, Practice and Policy (eds Braverman, A., Hoff, K. and Stglitz, J.), Oxford University Press, New York, USA, 1993.
- Vatta, K. and. Sidhu, R. S., Income diversification among rural households in Punjab: dynamics, impacts and policy implications. Indian J. Labour Econ., 2007, 50(4), 723–736.
- Pavithra, S. A. and Vatta, K., Role of non-farm sector in sustaining rural livelihoods in Punjab. Agric. Econ. Res. Rev., 2013, 26(2), 257–265.
- Sidhu, R. S., Vatta, K. and Singh, J., Pattern of employment and wage relation in Punjab agriculture. Man Dev., 2012, 34(3), 77– 88.
- Vatta, K. and Garg, B. R., Rural non-farm sector in Punjab: pattern and access to employment and income. Indian J. Agric. Econ., 2008, 63(2), 223–243.
- Vatta, K., Garg, B. R. and Sidhu, M. S., Rural employment and income: the inter-household variations in Punjab. Agric. Econ. Res. Rev., 2008, 21(2), 201–210.
- FICCI, Labour in Indian agriculture: a growing challenge, KPMG analysis, Federation of Indian Chambers of Commerce and Industry, 2015.
- Chakravorty, S., Chandrasekhar, S. and Naraparaju, K., Income generation and inequality in India’s agricultural sector: the consequences of land fragmentation. IGIDR Working Paper, WP-16028, 2016.
- Fields, G. S., Poverty, Inequality, and Development, Cambridge University Press, New York, USA, 1980.
- Kaditi, E. A. and Nitsi, E. I., Vertical and horizontal decomposition of farm income inequality in Greece. Agric. Econ. Rev., 2011, 12(1), 69–80.
- Lerman, R. and Yitzhaki, S., Income inequality effects by income source: a new approach and applications to the United States. Rev. Econ. Stat., 1985, 67(1), 151–156.
- Kimhi, A., Arayama, Y. and Kim, J. M., Identifying determinants of income inequality in the presence of multiple income sources: the case of Korean farm households. In Poster presented at EAAE Congress ‘Agri-Food and Rural Innovations for Healthier Societies’, Slovenia, 2014.
- Bellù, L. G. and Liberati, P., Describing income inequality: theil index and entropy classindexes. FAOEasyPoI051, 2006; http://www.fao.org/docs/up/easypoI/445/theil_index_051en.pdf (accessed on 22 October 2018).
- Punjab Revenue, 2012; http://punjabrevenue.nic.in/for%20website/agro-climatic%20zone.htm (accessed on 22 October 2018).
- Citizen-centric Tool for Near Real-Time Mapping of Active Forest Fires
Abstract Views :251 |
PDF Views:78
Authors
Sameer Saran
1,
Priyanka Singh
1,
Hitendra Padalia
1,
Arshdeep Singh
2,
Vishal Kumar
1,
Prakash Chauhan
1
Affiliations
1 Indian Institute of Remote Sensing (ISRO), #4 Kalidas Road, Dehradun 248 001, IN
2 Jammu and Kashmir Forest Department, Sheikh Bagh, Near Lal Chowk, Srinagar 180 001, IN
1 Indian Institute of Remote Sensing (ISRO), #4 Kalidas Road, Dehradun 248 001, IN
2 Jammu and Kashmir Forest Department, Sheikh Bagh, Near Lal Chowk, Srinagar 180 001, IN
Source
Current Science, Vol 119, No 5 (2020), Pagination: 780-789Abstract
In this study, a mobile app is presented as a citizencentric geospatial solution to record real-time forest fire incidents. This tool fetches accurate geographical coordinates and captures forest fire images, along with relevant fields related to the event such as cause of fire, fire type, species affected, etc. in both online and offline mode. The background, application foundation, system design and main features are also described. Evaluation of robustness of the application and a case study are presented to show the potential use of this participatory sensing-based geospatial tool.Keywords
Citizen Science, Forest Fire, Geospatial Tool, Mobile Application, Real-time Mapping.Full Text
- Agroforestry Solutions for Zero Hunger and Net Zero Climate Targets
Abstract Views :119 |
PDF Views:69
Authors
Affiliations
1 ICAR-Central Agro-forestry Research Institute, Jhansi 284 00, IN
1 ICAR-Central Agro-forestry Research Institute, Jhansi 284 00, IN
Source
Current Science, Vol 124, No 6 (2023), Pagination: 661-662Abstract
Transitioning to a net-zero world is one of the greatest challenges humanity may face across the world. Nonetheless, land-based carbon removal actions are vital to meet net-zero targets but involve significant trade-offs that may risk food security. The potential increase in demand for land in the near future for land-based climate mitigation methods across India could certainly threaten the right to land and food, especially for people and communities whose livelihoods depend on land. In the context of global efforts to address and combat the climate crisis and to improve food security, agroforestry is a sustainable land use with immense potential to achieve significant impact and synergy across priorities.Keywords
No Keywords.Full Text
References
- World Meteorological Organization, Four key climate change indicators break records in 2021. Press Release Number. 18052022, 2022.
- World Economic Forum, Mission 2070: a green new deal for a net zero India. White Paper, November 2021.
- Matemilola, S. and Salami, H. A., In Encyclopedia of Sustainable Management (eds Idowu, S. O. et al.), Springer Nature, Switzerland, 2020, pp. 1–6; https://doi.org/10.1007/978-3-030-02006-4_512-1.
- OXFAM International, Tightening the net: net zero climate targets – implications for land and food equity. 2021; doi:10.21201/2021.7796.
- Hubau, W. et al., Nature, 2020, 579, 80–87; https://doi.org/10.1038/s41586-020-2035-0.
- FAO, The state of food security and nutrition in the World, Food and Agriculture Organization, Rome, Italy, 2019.
- Ramos, H. M. N., Vasconcelos, S. S., Kato, O. R. and Castellani, D. C., Agrofor. Syst., 2018, 92, 221–237; https://doi.org/10.1007/s10457-017-0131-4.