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Row data on an econometric analysis of the perception and adaptation response of smallholder farmers preception to climate change
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Output FINAL MUltinomial and Binary Logistic Regression Results.spv (79.46 kB)
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Perceptions and adaptation analysis of smallholder farmers to climate change using binary and multinomial logistic regression models

dataset
posted on 2024-10-28, 13:30 authored by Daniel Beyene

This study explores farmers' perceptions of climate change and their adaptation responses in the Mendefera and Debarwa sub-zones of Eritrea's Debub region. It focuses on rainfall and temperature shifts affecting agricultural productivity. The dataset comprises survey responses from 314 farmers, capturing a range of variables categorised by personal characteristics, perception responses, adaptation preferences, and socio-economic responses, alongside historical climate data on rainfall and temperature trends. Personal characteristics include demographic and socio-economic factors, such as age, gender, education, household income, and farming experience, which are crucial for analysing which factors most influence farmers' awareness and adaptation decisions. 


Perception responses detail farmers' observations of changes in climate patterns, especially rainfall and temperature fluctuations, providing insight into how climate changes are locally recognised. Adaptational preference responses highlight the types of adaptation strategies farmers have implemented or prefer, such as crop diversification, soil conservation, and small-scale irrigation, revealing the practicality and accessibility of specific measures. Socio-economic responses capture the impact of climate change on farming activities, the challenges faced in adapting, and barriers to implementing strategies, thus shedding light on broader economic and social pressures within the community. Additionally, climate data, recorded in Excel, documents historical rainfall and temperature trends, allowing for a comparison between farmers' perceptions and actual climate records. These datasets provide a comprehensive foundation for analysing the determinants of adaptation responses to mitigate climate change's impact on agriculture in Eritrea.

Funding

Ministry of Agriculture of Eritrea

History

Department/Unit

Agricultural Economics, Extension and Rural Development

Sustainable Development Goals

  • 5 Gender Equality
  • 13 Climate Action
  • 12 Responsible Consumption and Production