dc.contributor.author |
Nhundu, Kenneth
|
|
dc.contributor.author |
Gandidzanwa, Colleta
|
|
dc.contributor.author |
Chaminuka, Petronella
|
|
dc.contributor.author |
Mamabolo, Manana
|
|
dc.contributor.author |
Mahlangu, Sandile
|
|
dc.contributor.author |
Makhura, Moraka Nakedi
|
|
dc.date.accessioned |
2022-01-11T13:27:25Z |
|
dc.date.issued |
2022 |
|
dc.description.abstract |
The study estimates sunflower supply response in South Africa using time series data from 1947 to 2016, modelled through the Nerlovian Partial Adjustment approach. Short- and long-run price elasticities of 0.238 and 0.313 respectively, suggest that farmers do not easily adjust acreage devoted to sunflower given price changes, indicating the influence of other non-price factors. An adjustment coefficient of 0.272 indicates that the time taken to adjust from the actual to the desired acreage level is slow, at 27% per year. The estimated elasticities provide some scope for using price and non-price incentives to influence sunflower production in the long-run. This could facilitate decision-making by sunflower producers to spearhead internal and external adjustment processes. The study contributes to a growing body of literature on agricultural supply response determinants, thus providing evidence-based macro-economic tools towards agricultural policy-making and reform process. |
en_ZA |
dc.description.department |
Agricultural Economics, Extension and Rural Development |
en_ZA |
dc.description.embargo |
2022-07-24 |
|
dc.description.librarian |
hj2021 |
en_ZA |
dc.description.uri |
http://www.tandfonline.com/loi/rajs |
en_ZA |
dc.identifier.citation |
Nhundu, K., Gandidzanwa, C., Chaminuka, P. et al. 2022, 'Agricultural supply response for sunflower in South Africa (1947–2016) : the partial Nerlovian framework approach', African Journal of Science, Technology, Innovation and Development, vol. 14, no. 2, pp. 440-450, doi : 10.1080/20421338.2020.1844944. |
en_ZA |
dc.identifier.issn |
2042-1338 (print) |
|
dc.identifier.issn |
2042-1346 (online) |
|
dc.identifier.other |
10.1080/20421338.2020.1844944 |
|
dc.identifier.uri |
http://hdl.handle.net/2263/83165 |
|
dc.language.iso |
en |
en_ZA |
dc.publisher |
Routledge |
en_ZA |
dc.rights |
© 2021 African Journal of Science, Technology, Innovation and Development. This is an electronic version of an article published in African Journal of Science, Technology, Innovation and Development, vol. 14, no. 2, pp. 440-450, 2022. doi : 10.1080/20421338.2020.1844944. African Journal of Science, Technology, Innovation and Development is available online at : http://www.tandfonline.com/loi/rajs20. |
en_ZA |
dc.subject |
Supply response |
en_ZA |
dc.subject |
Elasticities |
en_ZA |
dc.subject |
Sunflower |
en_ZA |
dc.subject |
Acreage |
en_ZA |
dc.subject |
Nerlovian partial adjustment |
en_ZA |
dc.title |
Agricultural supply response for sunflower in South Africa (1947–2016): the partial Nerlovian framework approach |
en_ZA |
dc.type |
Postprint Article |
en_ZA |