Gross Geographic Product by magisterial district

Literature › Primary sources

Kind	official statistical series
Producer	Department of Statistics / CSS / Stats SA
Coverage	1968-1996
Works using it	3

Debates

Debate	Works
Homelands, separate development, decentralisation and removals	2
Urban segregation, Group Areas and the apartheid city	2
Cheap labour thesis and the function of the reserves	1
The job colour bar, white labour and its erosion	1
Why apartheid ended: reform, transition and elite bargaining	1
Liberal vs revisionist: was apartheid functional or dysfunctional for capitalist growth?	1
Sanctions, disinvestment and the anti-apartheid movement	1
The state and capital: instrumentalism, autonomy and fractions of capital	1
Unemployment: causes, measurement and labour market institutions	1
Worker consciousness, strikes and conflict on the mines and shop floor	1

Works using this source

Work	As cited	Period	How used
McCarthy (2000a)	1996 GGP data (Statistics SA/HSRC)	1996	Not used: it was unavailable at drafting and is expected to be incorporated in a fifth draft; the author says it should not alter the conclusions.
McCarthy (2000a)	Gross Geographic Product (GGP) data by magisterial district, 1968, 1972, 1981, 1991 and 1993/4 (Statistics SA/HSRC)	1968-1994	Core dataset assembled into a district file to compute GGP change for four sub-periods and to run the coastal/core/mid-zone and metro/non-metro analyses, regressions and scenarios.
McCarthy (2000a)	Statistics SA 1995: Gross Geographic Product 1994	1993/4	Used to correlate sub-sector growth rates across districts to identify the 'predictor' sectors for the 1990s.
McCarthy (2000b)	1996 G.G.P. data (Statistics SA/HSRC), not yet available	1996	Not used; the author notes it is pending and expected not to alter conclusions materially.
McCarthy (2000b)	Gross Geographic Product (G.G.P.) data by magisterial district, 1968, 1972, 1981, 1991 and 1993/4 (Statistics SA / HSRC)	1968, 1972, 1981, 1991, 1993/4	Assembled into a file of G.G.P. by magisterial district and used to compute growth changes (G.G.P.C. 1-4), regional and metro/non-metro comparisons, regressions and projected scenarios.
McCarthy (2000b)	Statistics SA 1995: Gross Geographic Product 1994	1993/4	Used for the inter-sectoral correlation of sub-sector growth rates to identify 'predictor' sectors for the 1990s.
Sitas et al. (1984)	Department of Statistics, Gross Geographic Product at Factor Incomes by Magisterial District, 1975, Table 2	1975	Cited for Natal becoming the second major industrial complex in South Africa by the 1970s.