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OccPaper Top Page] [Chapter 1]
Introduction
[Chapter 2]
Previous Forestry Capacity-related Work in the SADC Region
[Chapter 3]
Methodology
Survey of Methodologies
Study Methodology
Limitations of Study Methodology
[Chapter 4]
Results and Discussion
Research Resources
Research Environment
[Chapter 5]
Conclusions and Recommendations
Conclusions
Recommendations
References
Annex 1. Methodology and Indicators of Research
Capacity
Annex 2. Forestry Research Manpower in the SADC
Region
Annex 3. Values for Research Indicators by
Institutes
Annex 4. Institutes by Research Capacity
Indicators
Annex 5. Overview of Physical Resources by
Institute
Annex 6. Institutions Visited and those which
Mailed Information
List of Figures
Figure 1. Distribution of forestry-related
researchers in the SADC region
Figure 2. Distribution, by country, of
researchers with M.Sc. or Ph.D. and more than years 4 experience
Figure 3. Researchers, by institution, with
M.Sc. or Ph.D. and at least 4 years experience
Figure 4. Number of research staff by institute
and budget per researcher
List of Tables
Table 1. Some positive and negative aspects of
regional approaches
Table 2. Distribution of research operational
expenses in some institutions (%)
Table 3. Research support facilities in sample
institutions
Table 4. Research interactions and their
perceived value
Table 5. Interactions with educational
institutions and users of research results
Table 6. Salary and non-salary incentives
Table 7. Use of formal and informal evaluations |
ANNEX 2
FORESTRY RESEARCH MANPOWER IN THE SADC REGION
Research manpower data was collated during the study yielding the following figures.
These data were accurate for each institute at the time of survey (June or November 1995).
Table A2.1. Forestry research staff numbers institute |
| INSTITUTE |
Ph.D. |
M.Sc. |
B.Sc. |
Expat. |
Total |
% of sample total |
|
| FORESTEK |
19 |
22 |
9 |
3 |
53 |
19.06 |
| ICFR |
4 |
9 |
6 |
0 |
19 |
6.83 |
| U. STELL |
13 |
1 |
0 |
0 |
14 |
5.04 |
| SUA |
17 |
12 |
0 |
1 |
30 |
10.79 |
| TAFORI |
0 |
13 |
14 |
0 |
27 |
9.71 |
| IRA |
12 |
4 |
2 |
0 |
18 |
6.47 |
| NTSP |
0 |
2 |
1 |
2 |
5 |
1.80 |
| FRIM |
0 |
7 |
8 |
5 |
20 |
7.19 |
| CEF |
0 |
2 |
11 |
0 |
13 |
4.68 |
| UEM |
1 |
7 |
4 |
3 |
15 |
5.40 |
| NAMIBIA** |
2 |
4 |
4 |
5 |
15 |
5.40 |
| ZIMFC |
1 |
6 |
5 |
1 |
13 |
4.68 |
| U. ZIM |
3 |
6 |
1 |
0 |
10 |
3.60 |
| U. ZAMBIA |
4 |
2 |
1 |
1 |
8 |
2.88 |
| ZAMBIA |
0 |
3 |
2 |
0 |
5 |
1.80 |
| USUTU |
2 |
1 |
0 |
1 |
4 |
1.44 |
| VELDT |
0 |
1 |
2 |
1 |
4 |
1.44 |
| FAB |
0 |
1 |
2 |
0 |
3 |
1.08 |
| LESOTHO |
0 |
0 |
1 |
1 |
2 |
0.72 |
|
| TOTALS |
78 |
103 |
73 |
24 |
278 |
100 |
| TOTAL % |
28.1 |
37.1 |
26.2 |
8.6 |
100 |
|
Table A2.2. Forestry research staff aggregated by country |
| COUNTRY |
RESEARCH STAFF |
| Total |
% of sample total |
Ph.D. |
MSc. |
B.Sc. |
Expat. |
Ph.D., M.Sc. >4 years |
| TANZANIA |
80 |
28.8 |
29 |
31 |
17 |
3 |
52 |
| ZIMBABWE |
23 |
8.3 |
4 |
12 |
6 |
1 |
14 |
| ZAMBIA |
13 |
4.6 |
4 |
5 |
3 |
1 |
9 |
| MALAWI |
20 |
7.3 |
0 |
7 |
8 |
5 |
7 |
| MOZAMBIQUE |
28 |
10.1 |
1 |
9 |
15 |
3 |
9 |
| SWAZILAND |
4 |
1.4 |
2 |
1 |
0 |
1 |
2 |
| LESOTHO |
2 |
0.7 |
0 |
0 |
1 |
1 |
0 |
| S. AFRICA* |
86 |
30.9 |
36 |
32 |
15 |
3 |
49 |
| BOTSWANA |
7 |
2.5 |
0 |
2 |
4 |
1 |
1 |
| NAMIBIA** |
15 |
5.4 |
2 |
4 |
4 |
5 |
6 |
| TOTALS |
278 |
100 |
78 |
103 |
73 |
24 |
149 |
* Private sector resea facilities (other than ICFR) were not surveyed
** Includes staff whose duties involve, but are not restricted to research |