Spatial Distribution Analysis of Community Radio Stations as Means for Promoting Climate Change Adaptation Measures in Agriculture under COVID-19 Scenario, Southern Province, Zambia

Albert Novas Somanje (), Lauraine Mwila Mwansa and Kafula Chisanga
Additional contact information
Albert Novas Somanje: Department of Agriculture, Ministry of Agriculture, Lusumpuko House, Choma P.O. Box 630042, Zambia
Lauraine Mwila Mwansa: Department of Agriculture, Ministry of Agriculture, Lusumpuko House, Choma P.O. Box 630042, Zambia
Kafula Chisanga: Mochipapa Regional Research Station, Zambia Agriculture Research Institute (ZARI), Ministry of Agriculture, Choma P.O. Box 630090, Zambia

Sustainability, 2022, vol. 14, issue 22, 1-15

Abstract: Community Radio Stations (CRS) play an important role in information dissemination at local and context-specific levels. This study aimed to analyze the point data distribution of the CRS and their role in promoting climate change adaptation measures in agriculture in times of the Coronavirus Disease (COVID-19). The study’s methodological approach included the geospatial mapping of point data of CRS in Arc GIS 10.3, surveys and interviews with thirty-nine (39) experts. In addition, the interview data were analyzed using SPSS 28.0 for frequency and descriptive analysis and excel for graphical outputs. The study found 19 operational CRS in 13 districts, and their radii completely cover the Southern Province of Zambia. Out of the time allocated to agricultural programs, an average of 47% is on climate change adaptation measures in local languages. However, the CRS have limited access to experts to provide information and program sponsorship. This study has established that CRS have the potential to disseminate climate change adaptation measures. Sixty-nine percent (69%) of the CRS noticed an increase in the demand for agricultural programs during the COVID-19 era, with the rapid growth of CRS. The study recommends stakeholders’ collaboration to provide appropriate information to enhance the agricultural climate programmes on CRS and address the challenges of limited access to experts and associated costs.

Keywords: agriculture; climate adaptation; community radio stations; COVID-19; geospatial analysis; Zambia (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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