- Title
- Analysis of factors affecting technical efficiency of a1 smallholder maize farmers under command agriculture scheme in Zimbabwe: the case of Chegutu and Zvimba districts.
- Creator
- Muzeza, Norman Tatenda
- Subject
- Food security
- Subject
- Farms, Small
- Subject
- Agricultural extension work
- Date
- 2021-09
- Type
- Master's theses
- Type
- text
- Identifier
- http://hdl.handle.net/10353/20826
- Identifier
- vital:46607
- Description
- Maize is the most essential cereal crop grown in Zimbabwe. This crop is produced across the country under different conditions and environments. The study focused on analyzing technical efficiency of A1 smallholder maize farmers in Chegutu and Zvimba districts under the Command Agriculture Scheme. Understanding technical efficiency is essential under developing agriculture, especially where resources are limited, and high population growth is quite common. In such a setting, increased output depends on efficiency improvements. The specific objectives of the study focused on estimating the level of technical efficiency, determinants of technical efficiency and the level of productivity among a randomly selected sample of 240 A1 smallholder maize farmers under the Command Agriculture Scheme. Purposive, cluster and random sampling techniques were used to collect primary data from the selected sample. The study applied the single-stage modelling stochastic frontier approach to assess technical efficiency of A1 smallholder maize farmers. The stochastic frontier results revealed that A1 smallholder farmers in Chegutu and Zvimba districts are technically efficient at 85 percent and 94 percent, respectively. The major determinants of technical efficiency varied across each district. In Chegutu district, major determinants of technical efficiency were basal fertilizer, labour and area of land cultivated for maize production, and all indicated a positive relationship with level of significance less than 10 percent and 1 percent (0.012, 0.000 and 0.000) respectively. In Zvimba district, major determinants of technical efficiency were basal fertilizer, topdressing and area of land cultivated for maize production, and all indicated a positive relationship with level of significance less than 5 percent, 10 percent and 1 percent (0.002, 0.021, 0.000) respectively. The study further estimated determinants of technical inefficiency. Main determinants of technical inefficiency in Chegutu district were age, maize farming experience and level of education. In Zvimba district, main determinants were maize farming experience, level of education, marital status, occupation status and other sources of income. The return to scale that measures the productivity level of farmers varied among the two districts in which farmers from Chegutu district had increasing returns to scale (1.43), whilst famers from Zvimba district had decreasing returns to scale (0.54). The study, therefore, argues that despite observed high technical efficiencies, Chegutu farmers could bridge their 15 percent gap between their observed output and the frontier output by focusing more on input usage with increasing returns to scale (1.43 percent). On the other hand, Zvimba farmers could bridge their 6 percent gap between their observed output and frontier output by focusing more on socio-economic drivers of technical inefficiency, given the decreasing returns to scale of their inputs (0.54 percent).
- Description
- Thesis (MSc) (Agricultural Economics) -- University of Fort Hare, 2021
- Format
- computer
- Format
- online resource
- Format
- application/pdf
- Format
- 1 online resource (80 pages)
- Format
- Publisher
- University of Fort Hare
- Publisher
- Faculty of Science and Agriculture
- Language
- English
- Rights
- University of Fort Hare
- Rights
- All Rights Reserved
- Rights
- Open Access
- Hits: 1295
- Visitors: 1624
- Downloads: 441
Collections
UFH Department of Agricultural Economics and Extension
| Thumbnail | File | Description | Size | Format | |||
|---|---|---|---|---|---|---|---|
| View Details | SOURCE1 | Muzeza_201700559_Agricultural Economics .pdf | 1 MB | Adobe Acrobat PDF | View Details |