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Accounting for self-selection bias in assessing impacts of agricultural innovations : the case of farmer support programs in the Eastern Cape
Mini Dissertation (MSc Agric (Agricultural Economics))--University of Pretoria, 2021.
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| Format: | Thesis |
| Language: | English |
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University of Pretoria
2022
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| _version_ | 1867613440485359616 |
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| access_status_str | Open Access |
| author2 | Mungatana, Eric D. |
| author_browse | Mungatana, Eric D. |
| author_facet | Mungatana, Eric D. |
| collection | Thesis |
| dc_rights_str_mv | © 2022 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. |
| description | Mini Dissertation (MSc Agric (Agricultural Economics))--University of Pretoria, 2021. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/83679 |
| institution | University of Pretoria (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:36:11.018Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | University of Pretoria |
| publisherStr | University of Pretoria |
| record_format | dspace |
| source_str | UPSpace — University of Pretoria Institutional Repository |
| spelling | oai:repository.up.ac.za:2263/83679 Accounting for self-selection bias in assessing impacts of agricultural innovations : the case of farmer support programs in the Eastern Cape Mungatana, Eric D. hluksman@gmail.com Mandla, Hlumani UCTD Agricultural innovations Mini Dissertation (MSc Agric (Agricultural Economics))--University of Pretoria, 2021. The study uses cross-sectional data to test whether FSPs improve technical efficiencies (TEs) of smallholder maize farmers. Using plot level data collected from 30 FSP and 66 non-FSP farmers drawn from Mgojweni, Mabetshe, Lujecweni, Bantingville, Canzibe and Dumasi villages of the Eastern Cape, this study estimates a Cobb-Douglas stochastic production frontier and uses it to compare the efficiency scores of the two farmer types. The results show that FSP adopters had relatively higher TE scores, with over 50% having scores of above 70%. However, a t-test for equality of mean TE scores revealed no statistically significant differences between them (t=-1.3969, p=0.1662), suggesting that the FSPs cannot explain the TE variances. Given that participation in FSPs was not random, a propensity score matching techniques was used to account for self-selection bias. After accounting for self-selection bias the results revealed that FSP adopters were on average 205% more efficient relative to non-adopters. These results underscore the importance of accounting for self-selection bias in demonstrating the impact of agricultural innovations. Agricultural Economics, Extension and Rural Development MSc Agric (Agricultural Economics) Unrestricted 2022-02-08T09:54:01Z 2022-02-08T09:54:01Z 2022-04 2021 Mini Dissertation * A2022 http://hdl.handle.net/2263/83679 en © 2022 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria |
| spellingShingle | UCTD Agricultural innovations Accounting for self-selection bias in assessing impacts of agricultural innovations : the case of farmer support programs in the Eastern Cape |
| title | Accounting for self-selection bias in assessing impacts of agricultural innovations : the case of farmer support programs in the Eastern Cape |
| title_full | Accounting for self-selection bias in assessing impacts of agricultural innovations : the case of farmer support programs in the Eastern Cape |
| title_fullStr | Accounting for self-selection bias in assessing impacts of agricultural innovations : the case of farmer support programs in the Eastern Cape |
| title_full_unstemmed | Accounting for self-selection bias in assessing impacts of agricultural innovations : the case of farmer support programs in the Eastern Cape |
| title_short | Accounting for self-selection bias in assessing impacts of agricultural innovations : the case of farmer support programs in the Eastern Cape |
| title_sort | accounting for self selection bias in assessing impacts of agricultural innovations the case of farmer support programs in the eastern cape |
| topic | UCTD Agricultural innovations |
| url | http://hdl.handle.net/2263/83679 |