Volume II - The Northern Cape Provincial Spatial Development ...
Volume II - The Northern Cape Provincial Spatial Development ... Volume II - The Northern Cape Provincial Spatial Development ...
Health status 11 % Point change in HIV/AIDS rates (2001-2007) Migration rates 12 % Point change in in-migrants past 5 years (2001-2007) Housing 13 % Point change in population living in informal housing units (2001-2007) Access to domestic services 14 % Point change in population with electricity in home (2001- 2007) 15 % Point change in population with running water in home (2001- 2007) 16 % Point change in population with toilets in home (2001-2007) Human Development Index 17 % Change in HDI (2001-2007) 3.5 Composite Indices For the cross-sectional analyses of towns and municipalities the indices described in the previous sections were in turn combined to produce the following three composite indices in accordance with the NSDP stipulations. These composite indices aggregate the major urban developmental dimensions to enable the higher-level generalization required to classify the 115 towns and 32 municipalities into useful typologies (see Table 3.2): 1. Composite Resource Index: Natural Resources + Human Resources 2. Composite Infrastructure Index: Transportation and Communication + Institutional Services. 3. Composite Economic Index: Economic Sectors + Commercial services + Market and Accessibility Potential + Property Market At an even higher level of aggregation and generalization all the growth indicators were combined to create a single grand Index of Development Potential: Resource Index + Infrastructure Index + Economic Index. It was not necessary to further create a compound index of Human Needs as no sub-themes were distinguished within this dimension (Table 3.2). By integrating the Development Potential Index with the Human Needs Index, towns and municipalities were classified into a Typology for Investment to provide a clearer insight into the development potential and the development needs of the various towns and local municipalities, as well as the investment policies required to manage urban growth and development in the province in future. Apart from the town indicators, indices computed for municipalities (cross-sectional and temporal) are used as contextual information for providing further investment guidelines to the various spheres of government on the type and locations for stimulating economic growth and social advancement. 37
3.6 Presenting the quantitative profiles Addendum 1 presents a full inventory of the original quantitative data profiles of all 115 towns and 32 municipalities on all the indicators included in the GIS data matrix (9473 data cells). From this data input various output products were created to evaluate and classify the growth potential of the various towns and municipalities. 3.6.1 Cross-sectional profiles of towns • From the variety of tabulation options for the 59 indicators, the ranking of the 115 towns according to the five composite indices (Table 3.6) were highlighted as the basic framework for the evaluation process in Chapter 4. The eight individual dimension indices and the full spectrum of each town in a comparable way are displayed in the tables of Addendum 3.1 and 3.2 respectively. The full spectrum of all 115 quantitative town profiles is furthermore presented in histogram format (Addendum 2. 1). • Furthermore, the spatial differentiation of the Development Potential and Human Needs scores of the individual towns were displayed in Figures 3.3 and 3.4. The three combined indices (Figures 3.5 – 3.7) and eight individual indices (Addendum 2.1 – 7.8) on which the Development Potential and Human Needs indices were based are presented in a further series of maps. On each map towns were classified into five development typologies according to the statistical procedures for map interval categorisation based on the attribute mean and a standard deviation of town values. The following five categories of development potential indices provide a framework to assign the individual development components and the towns’ attainable prospects for future growth or decline: (i) “Very Low” and “Low” growth potential: These towns possess limited economic and human resources, devoid of the potential to stimulate the urban economy in a significant way. The difference between ‘Low’ and ‘Very Low’ is only a degree variation. (ii) “Medium” growth potential: These towns’ development indices are roughly in line with the average value of the provinces’ aggregate on the 115 towns. Consistent and moderate growth prevails in these towns and certain sectors of the economy show signs of growth, or have the potential for it; (iii) “High” and “Very High” growth potential: These towns experience sustainable growth on the positive side of the provincial average. They already have an established and proven track record to operate as ‘growth engines’ at a certain level. They have the potential to grow 38
- Page 235 and 236: BASIS FOR FORMULATION OF PROPOSALS
- Page 237 and 238: 6. ENHANCING OPPORTUNITIES FOR & MA
- Page 239 and 240: CONCLUSION PSDF provides for the fo
- Page 241 and 242: VOLUME 1 CONTEXT & OVER‐ARCHING P
- Page 243 and 244: CLOSURE Provincial Spatial Developm
- Page 245 and 246: CONTENTS Maps…………………
- Page 247 and 248: MAPS Figure 1.1 Research agenda ...
- Page 249 and 250: ADDENDA 1. Data Matrix 1.1 Town pro
- Page 251 and 252: struggling to survive - to the detr
- Page 253 and 254: CHAPTER 2 CONCEPTUAL FRAMEWORK: INS
- Page 255 and 256: • Social Capital concerns investm
- Page 257 and 258: It is now widely recognised that an
- Page 259 and 260: 2.1.3 Criteria influencing growth a
- Page 261 and 262: for the economic activities of a to
- Page 263 and 264: Africa is not unique. The NSDP (200
- Page 265 and 266: • Future economic growth should p
- Page 267 and 268: different. The NSDP argues that the
- Page 269 and 270: following empirical analysis of tow
- Page 271 and 272: Figure 3.1: Towns and administrativ
- Page 273 and 274: Table 3.1: List of towns and munici
- Page 275 and 276: 97 Griekwastad Siyancuma Pixley Ka
- Page 277 and 278: Table 3.3: Summary of indicator gro
- Page 279 and 280: generating jobs and income such as
- Page 281 and 282: Transportation and communications A
- Page 283 and 284: Racial composition (Empowerment eli
- Page 285: Table 3.5: Variables for Municipal
- 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
- Page 327 and 328: Gannaput Small Agriculture Medium L
- 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 and 336: Table 4.7: Urban Concentration Grou
Health status 11 % Point change in HIV/AIDS rates (2001-2007)<br />
Migration rates 12 % Point change in in-migrants past 5 years (2001-2007)<br />
Housing 13 % Point change in population living in informal housing units<br />
(2001-2007)<br />
Access to domestic services 14 % Point change in population with electricity in home (2001-<br />
2007)<br />
15 % Point change in population with running water in home (2001-<br />
2007)<br />
16 % Point change in population with toilets in home (2001-2007)<br />
Human <strong>Development</strong> Index 17 % Change in HDI (2001-2007)<br />
3.5 Composite Indices<br />
For the cross-sectional analyses of towns and municipalities the indices described in the<br />
previous sections were in turn combined to produce the following three composite indices in<br />
accordance with the NSDP stipulations. <strong>The</strong>se composite indices aggregate the major urban<br />
developmental dimensions to enable the higher-level generalization required to classify the<br />
115 towns and 32 municipalities into useful typologies (see Table 3.2):<br />
1. Composite Resource Index: Natural Resources + Human Resources<br />
2. Composite Infrastructure Index: Transportation and Communication + Institutional<br />
Services.<br />
3. Composite Economic Index: Economic Sectors + Commercial services + Market and<br />
Accessibility Potential + Property Market<br />
At an even higher level of aggregation and generalization all the growth indicators were<br />
combined to create a single grand Index of <strong>Development</strong> Potential: Resource Index +<br />
Infrastructure Index + Economic Index. It was not necessary to further create a compound<br />
index of Human Needs as no sub-themes were distinguished within this dimension (Table<br />
3.2).<br />
By integrating the <strong>Development</strong> Potential Index with the Human Needs Index, towns and<br />
municipalities were classified into a Typology for Investment to provide a clearer insight into<br />
the development potential and the development needs of the various towns and local<br />
municipalities, as well as the investment policies required to manage urban growth and<br />
development in the province in future. Apart from the town indicators, indices computed for<br />
municipalities (cross-sectional and temporal) are used as contextual information for providing<br />
further investment guidelines to the various spheres of government on the type and locations<br />
for stimulating economic growth and social advancement.<br />
37