Spatial clustering of knowledge-based industries in the Helsinki Metropolitan Area

Figures & data

Table 1. Principal components factor analysis (PCA) results.

Item	F1	F2	F3	F4
KBI employment density	.770
KBI employment share	.571	.524	.428	.408
Diversity index	.191	.385	–.512	–.278
LQ-ICT	.787
LQ-Business services (including R&D)		.494
LQ-Finance	.801
LQ-Cultural–creative		.652
LQ-Education		.759
LQ-Health			.878
LQ-High-tech manufacturing				.903
Percentage of variance	30.0	13.9	12.2	9.2

Note. N = 232.

Figure 1. KBI’s multi- and mono-specialized sub-districts.

Figure 2. Employment structure in the largest KBI agglomerations.

Figure 3. Variation of the ln of KBI employment regarding the distance to the central business district (CBD).

Table 2. Results of the regression model.

Variables	Standardized coefficients
Distance to CBD	–.429
	(–9.432)***
LQ KBI employment	.399
	(8.550)***
Diversity index	.276
	(6.213)***
Constant	2.130
	(3.929)***
Adjusted R ^2	.60

Notes. t-values are given in parentheses.

*** Significant at 99%, N = 232 sub-districts.

Figure 4. Land-use features in the multi-specialized sub-districts of Otaniemi and Ruoholahti. Source: Cartographic base: HSY.