Rice Science ›› 2023, Vol. 30 ›› Issue (3): 186-206.DOI: 10.1016/j.rsci.2023.03.004
• Review • Previous Articles Next Articles
Julia Checco1(), Fathin Ayuni Azizan1,2, Jaquie Mitchell1, Ammar Abdul Aziz1
Received:
2022-10-20
Accepted:
2023-01-14
Online:
2023-05-28
Published:
2023-03-13
Contact:
Julia Checco (j.checco@uq.edu.au)
Julia Checco, Fathin Ayuni Azizan, Jaquie Mitchell, Ammar Abdul Aziz. Adoption of Improved Rice Varieties in the Global South: A Review[J]. Rice Science, 2023, 30(3): 186-206.
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Fig. 1. Selection process using Preferred Reporting Items for Systematic Reviews and Meta-Analyses flow diagram. Ineligible studies were excluded at each stage of the selection process. Google Scholar only exhibited the results for the first 1 000 relevant papers. Despite this limitation, 15% of unique papers were found in the search engine.
Fig. 2. Characteristics of reviewed adoption studies. A, Publication number in Africa, Asia and LAC (Latin America and the Caribbean). B, Publication number by countries and paddy rice production. The number of observations is 100 (One study studied two countries). C, Mean sample size (number of households) across the years, including trend line in time and standard error of mean sample size. D, Publication number for each rice variety type.
Fig. 3. Number of studies examined for probability, intensity and speed of adoption, classified into region and variety type. HYV, High-yielding variety; LAC, Latin America and the Caribbean.
Fig. 4. Number of observations that are positively significant, negatively significant, and not significant for each variable, grouped into farm biophysical, household and farmer, institutional and access-related, and technology-specific characteristics.
Fig. 5. Proportion of variables that are statistically significant for adoption probability, adoption intensity, and combination of all adoption types (probability, intensity and speed). Only variables examined at least five times for each category (i.e. combined, probability and intensity) are included.
Region/variety type a | Adoption probability b | Adoption intensity b | Studies for area c (%) | Studies for farmer d (%) |
---|---|---|---|---|
Region | ||||
Asia (50p, 13i) | 17 (16) | 61 (21) | 53 | 81 |
South Asia (27p, 11i) | 14 (10) | 64 (21) | 57 | 85 |
South East Asia (17p, 1i) | 62 (48) | 47 (0) | 60 | 80 |
East Asia (5p, 1i) | 52 (26) | 34 (0) | 0 | 100 |
Africa (33p, 2i) | 36 (30) | 19 (28) | 50 | 90 |
West Africa (30p, 1i) | 45 (28) | 22 (0) | 54 | 92 |
East Africa (35p, 1i) | 40 (16) | 18 (0) | 25 | 75 |
Total (85p, 16i) | 17 (16) | 34 (23) | 50 | 83 |
Variety type | ||||
Modern (17p, 9i) | 43 (22) | 66 (19) | 55 | 90 |
Hybrid (15p, 2i) | 12 (7) | 21 (4) | 25 | 85 |
High-yielding (13p,3i) | 67 (22) | 26 (10) | 15 | 58 |
Climate-smart (8p, 1i) | 36 (16) | 47 (0) | 63 | 75 |
Certified (5p) | 35 (17) | - | 75 | 67 |
Premium (2p) | 60 (7) | - | 50 | 100 |
Unclassified (25p, 1i) | 50 (25) | 55(0) | 63 | 87 |
Table 1. Adoption probability and intensity levels based on region or variety type.
Region/variety type a | Adoption probability b | Adoption intensity b | Studies for area c (%) | Studies for farmer d (%) |
---|---|---|---|---|
Region | ||||
Asia (50p, 13i) | 17 (16) | 61 (21) | 53 | 81 |
South Asia (27p, 11i) | 14 (10) | 64 (21) | 57 | 85 |
South East Asia (17p, 1i) | 62 (48) | 47 (0) | 60 | 80 |
East Asia (5p, 1i) | 52 (26) | 34 (0) | 0 | 100 |
Africa (33p, 2i) | 36 (30) | 19 (28) | 50 | 90 |
West Africa (30p, 1i) | 45 (28) | 22 (0) | 54 | 92 |
East Africa (35p, 1i) | 40 (16) | 18 (0) | 25 | 75 |
Total (85p, 16i) | 17 (16) | 34 (23) | 50 | 83 |
Variety type | ||||
Modern (17p, 9i) | 43 (22) | 66 (19) | 55 | 90 |
Hybrid (15p, 2i) | 12 (7) | 21 (4) | 25 | 85 |
High-yielding (13p,3i) | 67 (22) | 26 (10) | 15 | 58 |
Climate-smart (8p, 1i) | 36 (16) | 47 (0) | 63 | 75 |
Certified (5p) | 35 (17) | - | 75 | 67 |
Premium (2p) | 60 (7) | - | 50 | 100 |
Unclassified (25p, 1i) | 50 (25) | 55(0) | 63 | 87 |
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