Volume II - The Northern Cape Provincial Spatial Development ...
Volume II - The Northern Cape Provincial Spatial Development ... Volume II - The Northern Cape Provincial Spatial Development ...
• The unbalanced character of the towns is rooted in their reason for existence (Table 4.3a). The most prevalent economic base functions amongst the province’s towns are the combination of Agricultural/Service centres (50%) and Mining (20%). These functions are usually quite vulnerable to external economic forces and require special attention. • It is significant that the lower Development Potential categories correlate with smaller towns, while the larger towns demonstrate higher potential (Table 4.3c). In the case of Human Needs distribution, the pattern is not so marked although there is a tendency for the larger towns to be better off (Table 4.3b). • Regarding the proposed Investment Type (Table 4.3d) it is significant that 54% of the 115 towns qualify for only Basic Service or Social Capital investment, as is suggested in the NSDP (See Section 2.2.1). Only 31 towns qualify for Infrastructural Capital investment. In Figure 3.8 they demonstrate clear signs of High Development Potential. Another 22 towns also qualify for consideration in this category, but their position may change because of their ‘transitional status’ on the intersection point of the axes (Figure 3.8 and Table 3.7). Actually, there are 34 towns in flux in this grey area. These towns have a possibility of moving to any of the four quadrants in the short term if significant changes in the towns’ profile should occur. Therefore, the town profile results should be verified qualitatively and in consultation with local role players when investment decisions are necessary. (ii) MUNICIPALITIES • The 32 municipalities of the province provide the spatial and administrative structure within which the 115 towns operate at a regional scale. • The average population size of the municipalities is 33 000 inhabitants, with only four larger than 68 380 (Table 4.5). These are //Khara Hais, Ga-Segonyana and Moshaweng, while Sol Plaatjie is the primary administrative seat. • 26 (81%) of the units register Development Potential levels at the lower end, within Low and Medium categories (Table 4.6b), while 11 (34%) of the municipalities are classified with alarmingly High and Very High Human Needs (Table 4.6a). • When all towns and rural areas in each municipality is evaluated for an appropriate Investment Type it is disturbing that 19 (60%) of the units do not reach the required level for Infrastructure Capital Investment (Table 4.6c), although certain towns within its boundaries do qualify. The 10 municipalities located in the outright High Development Potential quadrants (Figure 3.15 and Table 4.4) are crucial for future provincial strategic 87
decisions. These are: //Khara Hais, Gamagara, Ga-Segonyana, Kgalagadi, Moshaweng, Nama Khoi, Phokwane’ Richtersveld, Sol Plaatje and Umsobomvu. • An important component for the measurement of development potential is related to the temporal change as this is an indication of past growth patterns. In Table 3.10 and Figure 3.20 the following municipalities obtained the best Development Potential levels: Ga- Segonyana, Namakwa, Umsobomvu, Sol Plaatje, Kgatelopele. //Khara Hais, Kgalagadi, Khai-Ma. (iii) SPATIAL PATTERNS • The spatial location of various groups of settlements described in the previous sections are of vital importance for the Provincial Spatial Development Framework (PSDF) of the Northern Cape. • Table 3.6 and Figure 3.3 identifies which towns has the best Development Potential (Kimberley, Upington, Kuruman and Springbok), whilst those with the best Human Needs levels are Koiingnas, Kleinzee, Alexanderbaai and Kathu (Figure 3.5). Table 3.6 also indicates the worst-off Development Potential towns (Klipfontein, Philanderbron, Riemvasmaak and Spoegrivier) and towns with the worst-off Human Needs levels (Holpan, Kheis, Nourivier and Groenwater). • The spatial distribution patterns of towns according to the Development Potential Index (Figure 3.3) and according to their Human Needs Index (Figure 3.4) suggest certain salient trends. (i) Development Potential: Towns with High and Very High potential are more prevalent in the more productive eastern part of the province. The western part is not well endowed with High Potential towns. On the other hand, Low Development Potential settlements are mainly concentrated along the West Coast and the interior Karoo, the Orange River valley and a few isolated towns in the far north.. (ii) Human Needs: The neediest towns with the worst quality of life levels are also located in the eastern parts of the province, as well as along the Orange River valley and in southern Namaqualand. • The three Composite indices supporting the Development Potential structure of the towns are of great value to understand the individual profiles (Table 3.6 and Figures 3.5–3.7). It is mainly the western and north-eastern mining towns and the agricultural orientated towns in the Orange River valley that display the highest Resource Potential scores (i.e. 88
- Page 285 and 286: Table 3.5: Variables for Municipal
- Page 287 and 288: 3.6 Presenting the quantitative pro
- Page 289 and 290: 21 Kimberley 2 Victoria West 3 22 K
- Page 291 and 292: 14 Nababeep 2 Noupoort 2 Colesberg
- Page 293 and 294: Hopetown 1 1 1 High Dev/High Need J
- Page 295 and 296: Vioolsdrif 2 1 3 Transitional Vosbu
- Page 297 and 298: Kimberley 1 2 2 High Dev/Low Need K
- Page 299 and 300: Figure 3.3: Development potential i
- Page 301 and 302: Figure 3.5: Composite resources ind
- Page 303 and 304: Figure 3.7: Composite economic acti
- Page 305 and 306: Figure 3.9: Investment typology of
- Page 307 and 308: 8 Umsobomvu 2 Emthanjeni 2 Kai !Gar
- Page 309 and 310: Figure 3.10: Development potential
- Page 311 and 312: Figure 3.12: Composite resource ind
- Page 313 and 314: Figure 3.14: Composite economic ind
- Page 315 and 316: Figure 3.16: Investment typology of
- Page 317 and 318: Figure 3.18: Human needs index of t
- Page 319 and 320: 3.6.3 Temporal profiles of municipa
- Page 321 and 322: (b) SORTED ALPHABETICALLY Developme
- Page 323 and 324: Figure 3.21: Development Potential
- Page 325 and 326: 3.7 Qualitative evaluation In the m
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- Page 329 and 330: settlements were qualitatively cate
- Page 331 and 332: Table 4.3: Cross-tabulation of Town
- Page 333 and 334: Table 4.5: Frequencies of Municipal
- Page 335: Table 4.7: Urban Concentration Grou
- Page 339 and 340: Table 4.9 Cross-tabulation of Town
- Page 341 and 342: Figure 4.4: Example of a town in a
- Page 343 and 344: Figure 4.6: Example of a town in a
- Page 345 and 346: 4.5 Case study: Development profile
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- Page 349 and 350: CHAPTER 5 CONCLUSIONS AND RECOMMEND
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- Page 353 and 354: the population numbers and economic
- Page 355 and 356: elements combine to produce conditi
- Page 357 and 358: The National Spatial Development Pe
- Page 359 and 360: Krige, S., Schur, M. & Sippel, G. 1
- Page 361 and 362: Weliwita, A. & Okpala, D. 2004: Pro
- Page 363 and 364: H Louw DEBAT 0538304800 0798830410
- Page 365 and 366: Premier G de Bruin DRDLR H Louw DED
- Page 367 and 368: 3 KEY RESOLUTIONS AND ACTIONS TO BE
- Page 369 and 370: TERMS OF REFERENCE IN THE SERVICE L
- Page 371 and 372: viable and sustainable for promotin
- Page 373 and 374: D OBJECTIVES STATED IN THE APPROVED
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- Page 383 and 384: RECAP: PSDF VOLUMES & THEIR FUNCTIO
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• <strong>The</strong> unbalanced character of the towns is rooted in their reason for existence (Table 4.3a).<br />
<strong>The</strong> most prevalent economic base functions amongst the province’s towns are the<br />
combination of Agricultural/Service centres (50%) and Mining (20%). <strong>The</strong>se functions are<br />
usually quite vulnerable to external economic forces and require special attention.<br />
• It is significant that the lower <strong>Development</strong> Potential categories correlate with smaller<br />
towns, while the larger towns demonstrate higher potential (Table 4.3c). In the case of<br />
Human Needs distribution, the pattern is not so marked although there is a tendency for<br />
the larger towns to be better off (Table 4.3b).<br />
• Regarding the proposed Investment Type (Table 4.3d) it is significant that 54% of the 115<br />
towns qualify for only Basic Service or Social Capital investment, as is suggested in the<br />
NSDP (See Section 2.2.1). Only 31 towns qualify for Infrastructural Capital investment.<br />
In Figure 3.8 they demonstrate clear signs of High <strong>Development</strong> Potential. Another 22<br />
towns also qualify for consideration in this category, but their position may change<br />
because of their ‘transitional status’ on the intersection point of the axes (Figure 3.8 and<br />
Table 3.7). Actually, there are 34 towns in flux in this grey area. <strong>The</strong>se towns have a<br />
possibility of moving to any of the four quadrants in the short term if significant changes<br />
in the towns’ profile should occur. <strong>The</strong>refore, the town profile results should be verified<br />
qualitatively and in consultation with local role players when investment decisions are<br />
necessary.<br />
(ii) MUNICIPALITIES<br />
• <strong>The</strong> 32 municipalities of the province provide the spatial and administrative structure<br />
within which the 115 towns operate at a regional scale.<br />
• <strong>The</strong> average population size of the municipalities is 33 000 inhabitants, with only four<br />
larger than 68 380 (Table 4.5). <strong>The</strong>se are //Khara Hais, Ga-Segonyana and Moshaweng,<br />
while Sol Plaatjie is the primary administrative seat.<br />
• 26 (81%) of the units register <strong>Development</strong> Potential levels at the lower end, within Low<br />
and Medium categories (Table 4.6b), while 11 (34%) of the municipalities are classified<br />
with alarmingly High and Very High Human Needs (Table 4.6a).<br />
• When all towns and rural areas in each municipality is evaluated for an appropriate<br />
Investment Type it is disturbing that 19 (60%) of the units do not reach the required level<br />
for Infrastructure Capital Investment (Table 4.6c), although certain towns within its<br />
boundaries do qualify. <strong>The</strong> 10 municipalities located in the outright High <strong>Development</strong><br />
Potential quadrants (Figure 3.15 and Table 4.4) are crucial for future provincial strategic<br />
87