# Table 1. Factor remunerations and factor intensities in the benchmark (in billions of current Tanzanian Shillings and %)

||Young<br>workers|Female<br>(Unskilled)|Female<br>(Laborers)|Female<br>(Technicians)|<br>Female<br>(Professionals)|Male<br>(Unskilled)|Male<br>(Laborers)|Male<br>(Technicians)|Male<br>(Professionals)|<sup>Subsistence</sup>|Capital|Land|All females|All males|Adult<br>(females<br>+males)|<br>**Total**<br>**Value**<br>**Added**|
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|||||**Fac**|**tors remu**|**neration**|**(in billion**|**s of curre**|**nt Tanza**|**nian Shilli**|**ngs)**||||||
|**Business Services**|47|1,631|12,030|1,126|1,899|5,618|91,143|13,437|19,402||297,996||16,686|129,599|146,285|**444,328**|
|**Dixit-Stiglitz Goods**|466|1,110|9,776|567|315|10,849|54,574|5,434|1,039|33,572|579,777||11,768|71,896|83,665|**697,479**|
|**Agriculture**|72,280|4,494|363,150|377||35,079|611,045|1,327|523|1,195,472|463,261|251,691|368,021|647,973|1,015,995|**2,998,698**|
|**Other CRTS**|21,876|93,790|202,511|47,782|5,747|107,334|603,313|178,600|32,698|719,918|1,369,809|58,549|349,830|921,946|1,271,776|**3,441,928**|
|**ALL SECTORS**|94,668|101,025|587,467|49,852|7,962|158,880|1,360,075|198,798|53,662|1,948,962|2,710,842|310,240|746,306|1,771,415|2,517,721|**7,582,433**|
|||||||**F**|**actor inte**|**nsity (in**|**%)**||||||||
|**Business Services**|0.01|0.37|2.71|0.25|0.43|1.26|20.51|3.02|4.37|0.00|67.07|-|3.76|29.17|32.92|100|
|**Dixit-Stiglitz Goods**|0.07|0.16|1.40|0.08|0.05|1.56|7.82|0.78|0.15|4.81|83.12|_-_|1.69|10.31|12.00|100|
|**Agriculture**|2.41|0.15|12.11|0.01|0.00|1.17|20.38|0.04|0.02|39.87|15.45|8.39|12.27|21.61|33.88|100|
|**Other CRTS**|0.64|2.72|5.88|1.39|0.17|3.12|17.53|5.19|0.95|20.92|39.80|1.70|10.16|26.79|36.95|100|
|**ALL SECTORS**|1.25|1.33|7.75|0.66|0.10|2.10|17.94|2.62|0.71|25.70|35.75|4.09|9.84|23.36|33.20|**100**|
|||||||**L**|**abor inte**|**nsity (in**|**%)**||||||||
|**Business Services**|0.03|1.11|8.22|0.77|1.30|3.84|62.28|9.18|13.26|-|-|-|11.40|88.57|99.97|-|
|**Dixit-Stiglitz Goods**|0.55|1.32|11.62|0.67|0.37|12.90|64.87|6.46|1.24|_-_|_-_|_-_|13.99|85.46|99.45|-|
|**Agriculture**|6.64|0.41|33.37|0.03|0.00|3.22|56.15|0.12|0.05|-|-|-|33.82|59.54|93.36|-|
|**Other CRTS**|1.69|7.25|15.65|3.69|0.44|8.30|46.64|13.81|2.53|_-_|_-_|_-_|27.04|71.27|98.31|-|
|**ALL SECTORS**|3.62|3.87|22.49|1.91|0.30|6.08|52.06|7.61|2.05|-|-|-|28.57|67.81|96.38|**-**|

## Source: Author's calculations based on NBS (2002a).

Notes: the conversion of occupations to labor categories is as follows: Unskilled (“Elementary occupations”); Laborers (comprised of five occupations: “Clerks”, “Services and shop workers”, “Skilled agricultural and fishery workers”, “Craft and related workers” and “Plant and machine operators and assemblers”); Technicians (“Technicians and associate Professionals”) and Professionals (“Professionals”). “Factor intensity” of each factor of production corresponds to the percentage weight of its remuneration in total value added, the latter being normalized to 100 in the column “Total value added”. “Labor intensity” is the percentage weight of the remuneration of each category of labor over total labor remuneration. The percentages in columns of “Young workers” and “Adult (females+males)” add up to 100, since they represent all the labor available for production in the model, excluding the labor allocated to subsistence. In turn, the values in the column “Adult (females+males)” are the sum of the values in columns “All females” and “All males”.

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