Journal of Community Mobilization and Sustainable Development

  • Year: 2022
  • Volume: 17
  • Issue: 2

Information Need Analysis of Coastal Rice Growers about Climate Change Adaptation and Mitigation Practices

  • Author:
  • Sonali Mallick1,*, Kalyan Ghadei2, Saikat Maji3, Virendra Kamalvanshi4
  • Total Page Count: 5
  • Published Online: Sep 12, 2022
  • DOI:
  • Page Number: 395 to 399

1Division of Agricultural Extension, ICAR-Indian Agricultural Research Institute, New Delhi

2Department of Extension Education, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh

3Department of Extension Education, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh

4Department of Agricultural Economics, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh

*Corresponding author email id: sonalimallick85@gmail.com

Online Published on 13 September, 2022.

Abstract

Eastern coastal districts of India are more subjected to weather vagaries in comparison the western coastal districts. Rice as major crop of the country, the loss of productivity of the crop due to climate change can be managed by giving proper information to the farmers about mitigation practices. The study was conducted in two blocks of Balasore district of State of Odisha. The present study revealed that farmers 68.33 per cent of farmers have medium level of information need about climate change adaptation and mitigation strategies. Analysing through Principal Component method of exploratory factor analysis, reported that the extent of Information need had been determined by three factors explained 62.60 per cent variation in information need. For factor I impact three indicators showing 0.784 factor loading by water management practices, 0.729 by soil management practices and 0.410 by disease and pest control practices are contributing. For factor II by risk management practices 0.827 factor loading is contributed followed by 0.533 by cropping practices, for factor III 0.768 factor loading contributed by weather parameter.

Keywords

Climate change, Adaptation, Mitigation, Information need, Factor analysis, Principal component method