Description Usage Arguments Details Value Author(s) References See Also Examples
Portfolio matrix plot comparing two numeric vectors
1 2 3 4 5 6 7 8 9 | portfolio(e_ij1, e_ij2, e_i1, e_i2, industry.names = NULL,
psize, psize.factor = 10, time.periods = NULL,
pmx = "Regional growth", pmy = "National growth",
pmtitle = "Portfolio matrix", pcol = NULL, pcol.border = NULL,
leg = FALSE, leg.fsize = 1, leg.col = NULL,
leg.x = -max_val, leg.y = -max_val*1.5,
bg.col = "gray95", bgrid = TRUE, bgrid.col = "white",
bgrid.size = 2, bgrid.type = "solid",
seg.x = 0, seg.y = 0)
|
e_ij1 |
a numeric vector with i values containing the employment in i industries in region j at time 1 |
e_ij2 |
a numeric vector with i values containing the employment in i industries in region j at time 2 |
e_i1 |
a numeric vector with i values containing the total employment in i industries at time 1 |
e_i2 |
a numeric vector with i values containing the total employment in i industries at time 2 |
industry.names |
Industry names (e.g. from the relevant statistical classification of economic activities) |
psize |
Point size in the portfolio matrix plot (mostly the absolute values of employment in i industries in region j at time 2) |
psize.factor |
Enlargement factor for the points in the plot |
time.periods |
No. of regarded time periods (for average growth rates) |
pmx |
Name of the X axis in the plot |
pmy |
Name of the Y axis in the plot |
pmtitle |
Plot title |
pcol |
Industry-specific point colors |
pcol.border |
Color of point border |
leg |
Logical argument that indicates if a legend has to be added to the plot |
leg.fsize |
If |
leg.col |
No. of columns in the legend |
leg.x |
If |
leg.y |
If |
bg.col |
Background color |
bgrid |
Logical argument that indicates if a grid has to be added to the plot |
bgrid.col |
If |
bgrid.size |
If |
bgrid.type |
If |
seg.x |
X coordinate of segmentation of the plot |
seg.y |
Y coordinate of segmentation of the plot |
The portfolio matrix is a graphic tool displaying the development of one variable compared to another variable. The plot shows the regarded variable on the x axis and a variable with which it is confronted on the y axis while the graph is divided in four quadrants. Originally, the portfolio matrix was developed by the Boston Consulting Group to analyze the performance of product lines in marketing, also known as the growth-share matrix. The quadrants show the performace of the regarded objects (stars, cash cows, question marks, dogs) (Henderson 1973). But the portfolio matrix can also be used to analyze/illustrate the world market integration of a region or a national economy by confronting e.g. the increase in world market share (x axis) and the world trade growth (y axis) (Baker et al. 2002). Another option is to analyze/illustrate the economic performance of a region (Howard 2007). E.g. it is possible to confront the growth of industries in a region with the all-over growth of these industries in the national economy.
A portfolio matrix plot and a data frame
containing the related data (invisible).
Thomas Wieland
Baker, P./von Kirchbach, F./Mimouni, M./Pasteels, J.-M. (2002): “Analytical tools for enhancing the participation of developing countries in the Multilateral Trading System in the context of the Doha Development Agenda”. In: Aussenwirtschaft, 57, 3, p. 343-372.
Howard, D. (2007): “A regional economic performance matrix - an aid to regional economic policy development”. In: Journal of Economic and Social Policy, 11, 2, Art. 4.
Henderson, B. D. (1973): “The Experience Curve - Reviewed, IV. The Growth Share Matrix or The Product Portfolio”. The Boston Consulting Group (BCG).
1 2 3 4 5 6 7 8 | data(Freiburg)
# Loads employment data for Freiburg and Germany (2008 and 2014)
portfolio(Freiburg$e_Freiburg2008, Freiburg$e_Freiburg2014,
Freiburg$e_Germany2008, Freiburg$e_Germany2014,
industry.names = Freiburg$industry, Freiburg$e_Freiburg2014, psize.factor = 12,
pmx = "Freiburg", pmy = "Deutschland", pmtitle = "Freiburg und BRD",
pcol = Freiburg$color, leg = TRUE, leg.fsize = 0.6, bgrid = TRUE, leg.y = -0.17)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.